The controller can be plugged into an ::com::sun::star::frame::XFrame, and will
provide a visual component for inspecting and modifying component properties.
Note that "property" here is a generic term - any aspect of a component can be considered a property,
as long as some property handler is able to describe this aspect in a property-like way.
The basic idea is that one facet of the inspected component is represented by a single line
of controls: A label, an input control, and optionally one or two buttons which, when pressed,
trigger additional user interaction (e.g. a more sophisticated dialog to enter a property value).
Additionally, property lines can be grouped into different categories. A usual implementation
of such categories would be tab pages, but other implementations are possible, too.
Even more, the inspector can optionally display a help section at the bottom of its
window, which can display arbitrary (context-sensitive) help texts.
An ObjectInspector needs one or more property handlers which describe
the facets of an inspected component - without such handlers, the inspector window will simply
stay empty.
The property handlers, as well as more information about the layout of the inspector,
are provided by a inspector model, which has to be implemented by the user of the inspector.
Since property handlers might have the need to raise UI, they will be created with a context
value named "DialogParentWindow", which contains an XWindow which should be used as parent of
any windows to raise.
If the ::com::sun::star::uno::XComponentContext in which the ObjectInspector
was created already contains such a value, it is not overwritten. Only if it doesn't, the inspector
will add an own value - which contains the inspector's main window - to the context when creating
handlers.


Circular Aperture:
The circular aperture (WALLBRECHER, 1986:168) is a deviation measure for great circle distributions. It has the form


What is a Wordpress theme?
What is a plugin? wordpress.org/extend/plugins/
wp_syntax.php
demo.joomla.org
appetite-asia.com/administrator
docs.joomla.org/Extension_types_(general_definitions)
A site coded with CSS3 media queries to adapt the layout to it's viewing environment. - wikipedia
How a piece of software identifies itself


Enter your review in the text box below and hit "Send" button to get a sentiment.
Please be informed deploying a model on SageMaker costs $$$ and I don't have enough of that to leave my model deployed. It has been shut down and the sentiment shown above is arbitrary. If you want to learn more about this project, Check my repo.


{% load javascript %} {% load modcontext %} {% static_with expand_revision_ revision.id as expander_id %} {% static_with revision_content_ revision.id as content_id %} {% static_with visible_image_ revision.id as visible_id %} {% static_with hidden_image_ revision.id as hidden_id %}


About the Game
2-5 Players
Play with your friends, your family, your neighbors, or complete strangers!
Ages 7+
Parents should be advised that while some game pieces are technically edible, some have a choking hazard and none of them are healthy
30-80 mins
This depends on the number of players! 2-player games run fairly quickly, while 5-player games can speed by or fill up a family game night!
See rules for more details
Click the rules link on the navbar above to see detailed setup and rules for the game. It's quick to learn and fun to play (and replay (and replay))!
Overview
Burning Bridges is a 2-5 player creative strategy game played on a board like the one shown below. Move your "parent" and "child" pieces across play-doh bridges of your own design as you fight other players in a race to the goal pillars!
Reviews and Implemented Feedback
(REVIEW) "Players each play as a Mafioso family vying against one another to make it back home. With the ability to literally build bridges, burn them down, and hold other player's family members hostage, the game forces players to carefully tiptoe back home, stepping on a couple of enemies' toes on the way home."
(REVIEW) "I would play this version of the Cones of Dunshire"
(REVIEW) "It's pretty cool!"
(FIXED) Some unintended consequences of the rules were that people were able to continuously trap one “family member” over and over because we did not see a rule that said what happened to the hostage and the capturer after the hostage situation is over.


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object edu.mit.csail.sdg.alloy4compiler.sim.SimTupleset
public final class SimTupleset
Immutable; represents a tupleset.
| Field Summary | |
|---|---|
static SimTupleset |
EMPTY
The tupleset containing no tuples. |
| Method Summary | |
|---|---|
int |
arity()
If this tupleset is empty, then return 0, else return the arity of every tuple in this tupleset. |
SimTupleset |
beginWith(SimTuple x)
Return the set of tuples which begins with the given tuple (where we remove the "matching leading part") |
SimTupleset |
closure()
Returns the closure of this tupleset (NOTE: if this.arity!=2, we will return an empty set) |
SimTupleset |
difference(SimTuple that)
Return this minus that; (if this tupleset and that tuple does not have compatible arity, then we return this tupleset as is). |
SimTupleset |
difference(SimTupleset that)
Return this minus that; (if this tupleset and that tupleset does not have compatible arity, then we return this tupleset as is). |
SimTupleset |
domain(SimTupleset that)
Returns this<:that (NOTE: if this.arity!=1, then we return the empty set) |
boolean |
empty()
Returns true if this is empty. |
SimTupleset |
endWith(SimTuple x)
Return the set of tuples which ends with the given tuple (where we remove the "matching trailing part") |
boolean |
equals(java.lang.Object that)
Returns true if this contains the same tuples as that. |
boolean |
equals(SimTupleset that)
Returns true if this contains the same tuples as that. |
java.util.List<SimAtom> |
getAllAtoms(int column)
Returns a modifiable copy of the list of all i-th atom from all tuples in some arbitrary order (0 is first atom, 1 is second atom...) |
SimAtom |
getAtom()
Returns an arbitrary atom from an arbitrary tuple. |
SimTuple |
getTuple()
Returns an arbitrary tuple. |
boolean |
has(SimAtom that)
Returns true if this tupleset is unary and contains the given atom. |
boolean |
has(SimTuple that)
Returns true if this tupleset contains the given tuple. |
int |
hashCode()
Returns a hashcode consistent with the equals() method. |
SimTupleset |
head(int n)
Return the tupleset where each tuple is truncated to the first N atoms; if n is zero or negative, we return the emptyset; if n >= this.arity, we return this as is. |
SimTupleset |
iden()
Return the identity over this tupleset; (if this tupleset's arity is not 1, then we return an emptyset) Note: the result's tuple order is the same as this tupleset's tuple order. |
boolean |
in(SimTupleset that)
Returns true if this is a subset of that. |
SimTupleset |
intersect(SimTupleset that)
Return the intersection of this and that. |
boolean |
intersects(SimTupleset that)
Return true if the intersection of this and that is nonempty. |
java.util.Iterator<SimTuple> |
iterator()
Returns a read-only iterator over the tuples. |
SimTupleset |
join(SimTupleset that)
Return the relational join between this and that (throws ErrorType if this.arity==1 and that.arity==1) |
java.util.Iterator<SimTupleset> |
loneOf()
Return an iterator over all subset x of this where x.size<=1 |
long |
longsize()
Returns the number of tuples in this tupleset (this answer will never overflow) |
static SimTupleset |
make(java.util.Collection<SimTuple> tuples)
Make a tupleset containing a deep copy of the given list of tuples (Note: caller MUST make sure there are no duplicates, and all tuples are of same arity!) |
static SimTupleset |
make(int min,
int max)
Construct the set containing integers between min and max (inclusively). |
static SimTupleset |
make(SimTuple tuple)
Construct a tupleset containing the given tuple. |
static SimTupleset |
make(java.lang.String atom)
Make a tupleset containing the given atom. |
static SimTupleset |
makenext(int min,
int max)
Construct the set containing (min,min+1)...(max-1,max) |
java.util.Iterator<SimTupleset> |
oneOf()
Return an iterator over all subset x of this where x.size==1 |
SimTupleset |
override(SimTuple that)
Return the relational override of this and that; (if this tupleset and that tuple does not have compatible arity, then we return this tupleset as is). |
SimTupleset |
override(SimTupleset that)
Return the relational override of this and that; (if this tupleset and that tupleset does not have compatible arity, then we return this tupleset as is). |
SimTupleset |
product(SimTupleset that)
Return the cartesian product of this and that. |
SimTupleset |
range(SimTupleset that)
Returns this:>that (NOTE: if that.arity!=1, then we return the empty set) |
SimTupleset |
removeAll(SimAtom that)
Return this minus any tuple that contains the given atom. |
java.util.Iterator<SimTupleset> |
setOf()
Return an iterator over all subset x of this |
int |
size()
Returns the number of tuples in this tupleset (this answer may be truncated if it cannot fit in a 32-bit integer) |
java.util.Iterator<SimTupleset> |
someOf()
Return an iterator over all subset x of this where x.size>=1 |
int |
sum()
Sum up all the integer atoms in this tupleset; (if this tupleset's arity is not 1, then we return 0) |
SimTupleset |
tail(int n)
Return the tupleset where each tuple is truncated to the last N atoms; if n is zero or negative, we return the emptyset; if n >= this.arity, we return this as is. |
java.lang.String |
toString()
|
boolean |
totalOrder(SimTupleset elem,
SimTupleset first)
Return true if this is a total ordering over "elem", with "first" being the first element of the total order. |
SimTupleset |
transpose()
Return the transpose of this tupleset; (if this tupleset's arity is not 2, we'll return an empty set instead) |
SimTupleset |
union(SimTuple that)
Return the union of this and that; (if this tupleset and that tuple does not have compatible arity, then we return this tupleset as is). |
SimTupleset |
union(SimTupleset that)
Return the union of this and that; (if this tupleset and that tupleset does not have compatible arity, then we return this tupleset as is). |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final SimTupleset EMPTY
| Method Detail |
|---|
public static SimTupleset make(int min, int max)
public static SimTupleset makenext(int min, int max)
public static SimTupleset make(SimTuple tuple)
public static SimTupleset make(java.lang.String atom)
public static SimTupleset make(java.util.Collection<SimTuple> tuples)
public int arity()
public boolean empty()
public int size()
public long longsize()
public boolean has(SimTuple that)
public boolean has(SimAtom that)
public SimAtom getAtom() throws ErrorAPI
-
- ErrorAPI if this tupleset is empty
ErrorAPI
public SimTuple getTuple() throws ErrorAPI
-
- ErrorAPI if this tupleset is empty
ErrorAPI
public SimTupleset union(SimTupleset that)
public SimTupleset union(SimTuple that)
public SimTupleset head(int n)
public SimTupleset tail(int n)
public java.util.Iterator<SimTuple> iterator()
iterator
in interface java.lang.Iterable<SimTuple>
public java.lang.String toString()
toString
in class java.lang.Object
public int hashCode()
hashCode
in class java.lang.Object
public boolean equals(java.lang.Object that)
equals
in class java.lang.Object
public boolean equals(SimTupleset that)
public boolean in(SimTupleset that)
public int sum()
public SimTupleset iden()
public SimTupleset override(SimTuple that)
public SimTupleset override(SimTupleset that) throws ErrorAPI
ErrorAPI
public SimTupleset difference(SimTupleset that)
public SimTupleset difference(SimTuple that)
public SimTupleset removeAll(SimAtom that)
public SimTupleset transpose()
public SimTupleset product(SimTupleset that)
public SimTupleset join(SimTupleset that) throws ErrorType
ErrorType
public SimTupleset intersect(SimTupleset that)
public boolean intersects(SimTupleset that)
public SimTupleset domain(SimTupleset that)
public SimTupleset range(SimTupleset that)
public SimTupleset closure()
public SimTupleset beginWith(SimTuple x)
public SimTupleset endWith(SimTuple x)
public java.util.List<SimAtom> getAllAtoms(int column) throws ErrorAPI
-
- ErrorAPI if this tupleset contains at least one tuple whose length is less than or equal to i
ErrorAPI
public boolean totalOrder(SimTupleset elem, SimTupleset first) throws ErrorAPI
ErrorAPI
public java.util.Iterator<SimTupleset> loneOf()
public java.util.Iterator<SimTupleset> oneOf()
public java.util.Iterator<SimTupleset> setOf()
public java.util.Iterator<SimTupleset> someOf()
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


How to enable module editors to manually set the sorting of documents displayed in the Documents module. Enabling this setting will display the "Sort Index" text box on the Edit Documents page, allowing Module Editors to manually enter a number to set the order that documents appear in the module.
Tip: Manual Sorting is the default setting for newly added modules.
The Sort Index field displayed on the Edit Documents page


Vehicle Detector is an application that helps the owners to track their vehicle when they get lost by using the vehicle’s unique information. Our main goal is to provide the owner’s with a searching facility across the city using Public Camera, GPS and mobile capturing technique without raising the complaint to the cop. When the vehicle gets lost, the owner can ping on this platform about the vehicle lost.


Finance API
Simple Financial Calculator
The calculations provide information such as how much money will you have when saving a fixed amount per month, or how long will it take to pay off a loan with a fixed interest rate.
GET /api/perMonthRetirementSavings
| Parameter Name | Description | Sample Value |
|---|---|---|
| years | The number of years money is being saved for | 5 |
| perMonth | The amount of money being saved per month | 500 |
| interestRate | The interest rate | 0.05 |
GET /api/investedAmount
| Parameter Name | Description | Sample Value |
|---|---|---|
| years | The number of years investing for | 10 |
| initial | The initial investment | 2000 |
| interestRate | The interest rate on the investment | 0.02 |
GET /api/loanPayoff
| Parameter Name | Description | Sample Value |
|---|---|---|
| monthlyAmount | The amount of the loan paid off per month | 250 |
| loanAmount | The total amount of the loan | 5000 |
| interestRate | The interest rate of the loan | 0.02 |
About Jason Ajmo
My name is Jason Ajmo. I am a 3/5 Cybersecurity major, with interests in security and web development. In my free time, I enjoy coding, playing video games, and cooking.
- Major: Cybersecurity
- Favorite song: Ghost Love Score - Nightwish
- Hope to learn in CS-546: Making webpages more accessible with screenreaders, and things of the sort.
- Favorite programming languages: C, C++
- Favorite animal: Dog


Snookes1516.github.io
Arts and Culture Programs offered by Continuing Education. The ellipsis is just a row of three dots, so why does it cause so much confusion? Learn about this and other punctuation marks at Writing Forward. Use the filters below to find resources that can help you. All resources are free to use, however, we do request that resources are not used for profit Practical Creative Writing - sharing inspiration, writing. Great for Writing Public Speaking: Learn the Techniques Professional Humorists Use to Create Consistently Funny Comedy. Punctuation Marks: Ellipsis Writing Forward. DRAMATIC SITUATIONS – ORIGINAL CREATIVE WRITING EXERCISES. Many beginner writers fall at the first hurdle. That is, they can’t get past that blank.
This is obviously just my own method, but maybe my approach to storytelling will help you in your own journey. (Disclaimer.) How I Plan a Book, Part 1: Of Plotters. Instantly download FREE writing exercises advice from Writer's Digest to keep your imagination flowing, writing skills sharp stories evolving.
FREE Writing Downloads: Exercises, Prompts Advice. Spelling Exercises Games How to Spell. 100 Writing Practice Lessons Exercises - The Write Practice. 100 continue on writing prompts (or story starters) to get your creative juices flowing. There is no excuse for not writing. This is THE place for creative writing techniques and craft tips for authors of books, novels, poems, short stories, essays, fiction, and nonfiction.
What Are Yoni Eggs? - Yoniegg.com. Practical Creative Writing Exercises - Kindle edition by Grace Jolliffe, James GoOnWrite. Download it once and read it on your Kindle device, PC, phones or tablets. Annual Report 2008 - Points of View This year's writing offers a faceted reflection on the state of organisation in development. In looking at this theme, we pursue.
High quality printable writing practice worksheets for use in school or at home. We hope you find them useful.
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Amazon.com: What If? Writing Exercises for Fiction Writers<PHONE_NUMBER>061): Anne Bernays, Pamela Painter: Books. Writing Practice Worksheets - English for Everyone. Turnitin provides instructors with the tools to prevent plagiarism, engage students in the writing process, and provide personalized feedback. Nearly 80 ESL worksheets and PDFs that your class can use today - subjects range from kids and adults to reading and grammar. Online Writing Games for Kids - Creative Writing Prompts. Writing Resources – Susan Dennard.
Humor Writing: How to Think, Write, Speak, and Be Funnier. Articles by CDRA Practitioners. What are yoni eggs? Benefits of yoni eggs. How to use yoni eggs. Exercises, practices and FAQ. Visit our store for the gemstone eggs and practice guide. Second Grade Curriculum 2nd Grade Lessons. Amazon.com: What If? Writing Exercises for Fiction Writers. Some recent comments Congratulations on the site, Joanne, it is terrific. I work in a free literacy scheme in Ireland and it helps my learners a tremendous amount. If you want to write better, you need practice. But what does a writing practice look like?  Creative and Popular - Continuing Education - Camosun College.
You might not have a money tree, but you can have a happiness tree. Dopamine, Serotonin, Oxytocin, and Endorphins are the quartet responsible In literature, writing style is the manner of expressing thought in language characteristic of an individual, period, school, or nation. Thus, style Amazon.com: Practical Creative Writing Exercises eBook. 77 Free ESL Worksheets and PDFs You Can Use Today. Resources – Talk for Writing. Second grade online curriculum. Get interactive, animated 2nd grade math, language arts, phonics reading lessons for homeschooling, afterschool skill. A collection of the finest online writing games
100 Short Story (or Novel) Writing Prompts HobbyLark. Creative writing exercises endings.


STIM
Super Tiny Interactive fiction Maker
New STIM
Save STIM
Load STIM
Import
HTML
Export HTML
Parts
Story
Game Settings
Game Title
STIM: Runtime demo
Debug stuff below:
ShowState
Refresh View


| Interface | Description |
|---|---|
| AffineRable |
Adjusts the input images coordinate system by a general Affine transform
|
| ClipRable |
Implements a clip operation.
|
| ColorMatrixRable |
Defines the interface expected from a color matrix
operation
|
| ComponentTransferRable |
Defines the interface expected from a component
transfer operation.
|
| CompositeRable |
Composites a list of images according to a single composite rule.
|
| ConvolveMatrixRable |
Convolves an image with a convolution matrix.
|
| DiffuseLightingRable |
This filter primitive lights an image using the alpha channel as a bump map.
|
| DisplacementMapRable |
Implements a DisplacementMap operation, which takes pixel values from
another image to spatially displace the input image
|
| Filter |
This is an extension of RenderableImage that adds some needed
functionality for tracking dirty regions and determining image
dependancies.
|
| FilterChainRable |
Implements a filter operation.
|
| FilterColorInterpolation |
This is an extension of our Filter interface that adds support for
a color-interpolation specification which indicates what colorspace the
operation should take place in.
|
| FilterResRable |
Interface for implementing filter resolution.
|
| FloodRable |
Fills the input image with a given paint
|
| GaussianBlurRable |
Implements a GaussianBlur operation, where the blur size is
defined by standard deviations along the x and y axis.
|
| MorphologyRable |
Implements a Morphology operation, where the kernel size is
defined by radius along the x and y axis.
|
| OffsetRable |
Adjusts the input images coordinate system by dx, dy.
|
| PadRable |
Pads image to the given Rectangle (the rect may be smaller than the
image in which case this is actually a crop).
|
| PaintRable |
Interface for Rable's that can more efficently represent there
action as a paint method instead of a RenderedImage when going to a
Graphics2D anyways.
|
| SpecularLightingRable |
This filter follows the specification of the feSpecularLighting filter in
the SVG 1.0 specification.
|
| TileRable |
A renderable that can tile its source into the tile region.
|
| TurbulenceRable |
Creates a sourceless image from a turbulence function.
|
| Class | Description |
|---|---|
| AbstractColorInterpolationRable |
This is an abstract base class that adds the ability to specify the
Color Space that the operation should take place in (linear sRGB or
gamma corrected sRBG).
|
| AbstractRable |
This is an abstract base class that takes care of most of the
normal issues surrounding the implementation of the RenderableImage
interface.
|
| AffineRable8Bit |
Concrete implementation of the AffineRable interface.
|
| ClipRable8Bit |
ClipRable implementation
|
| ColorMatrixRable8Bit |
Implements the interface expected from a color matrix
operation
|
| ComponentTransferRable8Bit |
This class implements the interface expected from a component
transfer operation.
|
| CompositeRable8Bit |
Composites a list of images according to a single composite rule.
|
| ConvolveMatrixRable8Bit |
Convolves an image with a convolution matrix.
|
| DeferRable |
This class allows for the return of a proxy object quickly, while a
heavy weight object is constrcuted in a background Thread.
|
| DiffuseLightingRable8Bit |
Implementation of the DiffuseLightRable interface.
|
| DisplacementMapRable8Bit |
Implements a DisplacementMap operation, which takes pixel values from
another image to spatially displace the input image
|
| FilterAlphaRable |
FilterAlphaRable implementation.
|
| FilterAsAlphaRable |
FilterAsAlphaRable implementation.
|
| FilterChainRable8Bit |
Implements a filter chain.
|
| FilterResRable8Bit |
Interface for implementing filter resolution.
|
| FloodRable8Bit |
Concrete implementation of the FloodRable interface.
|
| GaussianBlurRable8Bit |
GaussianBlurRable implementation
|
| MorphologyRable8Bit |
Implements a Morphology operation, where the kernel size is
defined by radius along the x and y axis.
|
| PadRable8Bit |
Concrete implementation of the PadRable interface.
|
| ProfileRable |
Implements the interface expected from a color matrix
operation
|
| RedRable |
RasterRable This is used to wrap a Rendered Image back into the
RenderableImage world.
|
| SpecularLightingRable8Bit |
Implementation of the SpecularLightRable interface.
|
| TileRable8Bit |
8 bit TileRable implementation
|
| TurbulenceRable8Bit |
Creates a sourceless image from a turbulence function.
|
Copyright © 2022 Apache Software Foundation. All Rights Reserved.


Separated Audio & Subtitle Settings
HTML5 Adaptive Streaming Player for MPEG-DASH & HLS
Your videos play everywhere with low startup delay, no buffering and in highest quality.
For more information about the bitmovin player, please have a look at our online
Developer Section
.


{# source: https://gist.github.com/SimonSimCity/4594748 Parameters: * currentPage (int) : the current page you are in * showAlwaysFirstAndLast (bool) : Always show first and last link (just disabled) * totalPages (int) : represents the total number of existing pages * prev (string) : label for prevoius page link * next (string) : label for next page link #} {%if totalPages > 1 %} {# the number of first and last pages to be displayed #} {% if extremePagesLimit is not defined %}{% set extremePagesLimit = 3 %}{% endif %} {% if showAlwaysFirstAndLast is not defined %}{% set showAlwaysFirstAndLast = true %}{% endif %} {# the number of pages that are displayed around the active page #} {% if nearbyPagesLimit is not defined %}{% set nearbyPagesLimit = 2 %}{% endif %}


PickerFieldDelegate
@objc
public protocol PickerFieldDelegate : AnyObject
PickerFieldDelegate protocol. Forwards editing state changes and content changes.
-
Asks the delegate if editing should begin in the specified PickerField.
Declaration
Swift
@objc optional func pickerFieldShouldBeginEditing(_ view: PickerField) -> Bool
Parameters
view
The PickerField that called the delegate method.
-
Tells the delegate editing ended in the specified PickerField.
Declaration
Swift
@objc optional func pickerFieldDidEndEditing(_ view: PickerField)
Parameters
view
The PickerField that called the delegate method.
-
Tells the delegate that the contents have been cleared in the specified PickerField.
Declaration
Swift
@objc optional func pickerFieldCleared(_ view: PickerField)
Parameters
view
The PickerField that called the delegate method.
-
Tells the delegate that a row was selected in the specified PickerField.
Declaration
Swift
@objc optional func pickerField(_ view: PickerField, didSelectRow row: Int)
Parameters
view
The PickerField that called the delegate method.
row
The row that was selected.


Testing Multithreaded Code
JMock provides a number of APIs to work with multi-threaded code, which
let you:
- Unit test an object that executes
concurrent tasks
- Unit test an object that
schedules tasks
- Use JMock with multithreaded
code
- Synchronise with threads started by
the code under test
- Stress-test synchronisation
code


Must Reads
Books chosen to be read by certain grade levels. Keep in mind, these books were choosen based a collection of recommendations from school districts across
the country. In essence, this is our (the editors) opinion after reading the school mandated reading lists.


1. According to Kepler the orbit of the earth is a circle with the sun at the center.
2. Ancient astronomers did consider the heliocentric model of the solar system but rejected it because they could not detect parallax.
3. The total amount of energy that a star emits is directly related to its
4. Stars that live the longest have


{% extends 'petitions/exits/exits_list.html' %} {% block title %} Exit| Served Sentence {% endblock title %} {% block tableheader %}
This table showw all the petitioners who have been released after serving their sentence. You can search using any criteria
{% endblock %}


|
SideCar
|
Files | |
| file | App.h [code] |
| file | BinaryOffscreenBuffer.h [code] |
| file | ConfigurationWindow.h [code] |
| file | ControlsWindow.h [code] |
| file | CursorWidget.h [code] |
| file | FramesListSettings.h [code] |
| file | History.h [code] |
| file | HistorySettings.h [code] |
| file | MagnifierView.h [code] |
| file | MagnifierWindow.h [code] |
| file | MainWindow.h [code] |
| file | OffscreenBuffer.h [code] |
| file | PlayerSettings.h [code] |
| file | PlotPositionFunctor.h [code] |
| file | PPIWidget.h [code] |
| file | ScaleWidget.h [code] |
| file | VideoImaging.h [code] |
| file | VideoOffscreenBuffer.h [code] |
| file | ViewSettings.h [code] |


This measure indicates the steepness of the distribution curve.
MARDIA (1972, S. 35) derives a measure for the curtosis from the second trigonometric moments.
This leads to the second moment of the normalized vector sum:
The second moment of the direction is:
From this the curtosis can be calculated (g2) WALLBRECHER (1986):
(m1 = direction of the resultant length vector)
When the data set consists of directions with lengths, n is replaced by
the sum of the lengths.


Code Search derived {{ derivedSolutionCount }} evaluations from this.
View in Table
Code Search found
{{ searchSummary.hits }}
hits in
{{ searchSummary.files }}
files from
{{ searchSummary.solutions }}
solutions for this snippet.
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View Results
Use
fulibFeedback
to add code snippets from within your IDE.
Code Search will only look for files matching the glob pattern {{ task.glob }}.


- See:
Members
cssFiles :Array.<string>|undefined
An array of CSS file paths or globs
that match CSS files. Each path or glob will be evaluated relative to
ServerCtorOptions#srcDir
.
Type:
- Array.<string> | undefined
helpers :Array.<string>|undefined
An array of helper file paths or globs
that match helper files. Each path or glob will be evaluated relative to
ServerCtorOptions#specDir
. Helpers are loaded before specs.
Type:
- Array.<string> | undefined
jasmineCore :any|undefined
The instance of jasmine-core to use. Use this if you need to load jasmine-core in a nonstandard way. Most of the time it should be omitted.
Type:
- any | undefined
port :number|undefined
The port to listen on.
Type:
- number | undefined
projectBaseDir :string|undefined
The root directory of the project.
Type:
- string | undefined
specDir :string
The directory that spec files are contained in, relative to
ServerCtorOptions#projectBaseDir
.
Type:
- string
specFiles :Array.<string>|undefined
An array of spec file paths or globs
that match spec files. Each path or glob will be evaluated relative to
ServerCtorOptions#specDir
.
Type:
- Array.<string> | undefined
srcDir :string
The directory that source files are contained in, relative to
ServerCtorOptions#projectBaseDir
.
Type:
- string
srcFiles :Array.<string>|undefined
An array of sourec file paths or globs
that match source files. Each path or glob will be evaluated relative to
ServerCtorOptions#srcDir
.
Type:
- Array.<string> | undefined
useHtmlReporter :boolean|undefined
Whether to use Jasmine's default HTML reporter.
Type:
- boolean | undefined
- Default Value:
- true


Each of the following sends a request to the API Gateway, which in turn sends a request to S3.
Note the HTTP method and arguments for each use case.
Be aware that the bucket and object must exist in the same region as the Cloud Formation stack.
| List all buckets | |
| List objects in bucket | |
| Create bucket | |
| Delete bucket | |
| Upload object | |
| Download object | |
| Delete object |


{%extends 'base.html'%} {%block content%} {% load bootstrap4 %} {% load static%}
Location: {{ myloc.location }}
Occupants: {{ myloc.occupants }}
{{ myloc.description }}
click here to post any Activity
{%if activities%} {%for activity in activities%}name: {{activity.activity_name}}
description: {{activity.description}}
contact: {{activity.email}}
There's no current activity at the moment
{%endif%}{{post.user.username}}: {{post.post}}
{%endfor%} {%else%}no post by {{user.username}} at the moment
{%endif%}


| Stat |
Value |
| Mean(x) |
9 |
| Mean(y) |
7.5 |
| Variance(x) |
11 |
| Variance(y) |
4.12 |
| Best Fit |
y=0.5x + 3 |
Quantitative vs Categorical
Nominal:
North, West, East, South
Ordinal:
XSmall, Small, Medium, Large, XLarge
Interval:
Jan, Feb, Mar, Apr
Line Graph
Bar Graph
Present the information
as simply as possible.
| Name |
# |
| Adam |
20 |
| Brian |
40 |
| Charlie |
60 |
| Dan |
80 |
| Ethan |
95 |
a visual display of important information consolidated and arranged so it can be monitored with minimal interaction.
a visual display of important information consolidated and arranged so it can be monitored with minimal interaction.
Sales per Month
Sales per Month
Disk Usage:
95%
95.0GB / 100GB
Consider
How long until the disk is full?
Has anything weird happened lately?
Disk Usage Today:
1.4 GB 5% higher than daily avg
95.0GB / 100GB total
a visual display of important information consolidated and arranged so it can be monitored with minimal interaction.
Bullet Graphs
My Favorite Visualizations
People tend to be able to read or listen, but not both. And you'll probably finish reading this before I finish speaking the first sentence.
Why not to use bullet points:
-
It encourages repeating the bullet word for word
-
Generalizations only scratch the surface
-
You make the reader switch between listening and reading
-
There's too many ideas occupying the same slide
Know you audience (and medium)
90px font
60px font
30px font
18px font
12px font
/


Feel free to translate any post under the Creative Commons license (see the CC logo/link at the bottom of this page), but please do email the address above the CC logo so that the translation's link can be added to the appropriate list as well as to the bottom of the original post.
Translated-to Languages


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| components | 0% | 0/98 | 0% | 0/4 | 0% | 0/33 | 0% | 0/32 | |
| components/ActionSheet | 100% | 12/12 | 100% | 2/2 | 100% | 4/4 | 100% | 12/12 | |
| components/Alert | 86.67% | 13/15 | 69.23% | 9/13 | 100% | 2/2 | 90.91% | 10/11 | |
| components/Badge | 82.35% | 14/17 | 61.54% | 8/13 | 100% | 2/2 | 84.62% | 11/13 | |
| components/Button | 85% | 17/20 | 79.17% | 19/24 | 75% | 3/4 | 86.67% | 13/15 | |
| components/Cell | 85.71% | 18/21 | 80% | 20/25 | 66.67% | 2/3 | 88.24% | 15/17 | |
| components/Checkbox | 96.72% | 59/61 | 81.82% | 36/44 | 100% | 14/14 | 96.72% | 59/61 | |
| components/Confirm | 86.67% | 13/15 | 69.23% | 9/13 | 100% | 2/2 | 90.91% | 10/11 | |
| components/Drag | 22.58% | 7/31 | 0% | 0/8 | 40% | 2/5 | 22.58% | 7/31 | |
| components/Icon | 87.5% | 14/16 | 69.23% | 9/13 | 100% | 2/2 | 91.67% | 11/12 | |
| components/Input | 78.87% | 56/71 | 64.29% | 27/42 | 82.14% | 23/28 | 81.82% | 54/66 | |
| components/Keyboard | 100% | 38/38 | 100% | 17/17 | 100% | 13/13 | 100% | 36/36 | |
| components/Loading | 86.67% | 13/15 | 69.23% | 9/13 | 100% | 2/2 | 90.91% | 10/11 | |
| components/Mask | 87.5% | 14/16 | 73.33% | 11/15 | 100% | 2/2 | 91.67% | 11/12 | |
| components/Message | 100% | 15/15 | 93.75% | 15/16 | 100% | 4/4 | 100% | 14/14 | |
| components/Modal | 85.54% | 71/83 | 67.27% | 37/55 | 93.75% | 15/16 | 87.14% | 61/70 | |
| components/NoticeBar | 91.67% | 33/36 | 80.77% | 21/26 | 100% | 8/8 | 93.75% | 30/32 | |
| components/Panel | 90.32% | 28/31 | 76.19% | 16/21 | 100% | 5/5 | 92.59% | 25/27 | |
| components/Picker | 53.98% | 339/628 | 47.3% | 193/408 | 54.38% | 87/160 | 53.86% | 335/622 | |
| components/Picker/locale | 0% | 0/2 | 100% | 0/0 | 100% | 0/0 | 0% | 0/1 | |
| components/Popup | 84.62% | 33/39 | 75% | 12/16 | 90.91% | 10/11 | 84.21% | 32/38 | |
| components/Progress | 82.35% | 14/17 | 70.59% | 12/17 | 100% | 2/2 | 84.62% | 11/13 | |
| components/Pull | 68.1% | 79/116 | 50.75% | 34/67 | 77.78% | 14/18 | 68.1% | 79/116 | |
| components/Radio | 90.91% | 50/55 | 81.25% | 39/48 | 80% | 12/15 | 90.91% | 50/55 | |
| components/Slider | 49.25% | 33/67 | 30% | 6/20 | 69.23% | 9/13 | 49.25% | 33/67 | |
| components/Spinner | 100% | 9/9 | 100% | 0/0 | 100% | 1/1 | 100% | 9/9 | |
| components/Stepper | 88.71% | 55/62 | 70.59% | 24/34 | 100% | 12/12 | 88.52% | 54/61 | |
| components/Swipe | 58.02% | 94/162 | 21.9% | 23/105 | 67.86% | 19/28 | 58.39% | 94/161 | |
| components/SwipeAction | 32.04% | 33/103 | 9.59% | 7/73 | 42.86% | 9/21 | 31.63% | 31/98 | |
| components/Switch | 95.45% | 21/22 | 78.57% | 11/14 | 100% | 5/5 | 95.45% | 21/22 | |
| components/Tab | 85.19% | 46/54 | 71.05% | 27/38 | 81.25% | 13/16 | 86% | 43/50 | |
| components/Toast | 86.96% | 20/23 | 75% | 6/8 | 87.5% | 7/8 | 86.96% | 20/23 | |
| components/Tooltip | 100% | 18/18 | 50% | 1/2 | 100% | 7/7 | 100% | 17/17 | |
| components/Uploader | 29.03% | 9/31 | 0% | 0/16 | 25% | 2/8 | 30% | 9/30 | |
| components/Uploader/utils | 0% | 0/35 | 0% | 0/15 | 0% | 0/7 | 0% | 0/35 | |
| components/utils | 30.77% | 4/13 | 50% | 2/4 | 0% | 0/2 | 30.77% | 4/13 |


Calculingua is a web application for mathematical analysis and design. Therefore the dominant interface elements have been developed to allow rapid analysis. The major elements are:
Command Entry Bar -- Down there at the bottom. The Command Entry Bar is where you type your math commands.
Sidebar -- Over on the left. It shows various data items based on what you pick from the menu bar on the left. It defaults to a variable viewer that allows you to see what variables are in your workspace.
History Window -- That's were you're reading this. It's where you see the results of your math show up.
Top Bar -- Right above here. It has icons for things like modifying your account and logging out.
Math!
Calculingua is designed for math, so let's see how to do it:
Let's say we want to add two numbers -- 2 and 5. To do that, type the following code in the the Command Entry Bar and hit enter:
2 + 5 You should see see that command be pushed to the History Window, followed by the answer. Note that without assigning this math to a variable, Calculingua assumes that you want the variable "ans" to equal this. Therefore, the variable
"ans" now has the value 7.
Okay, so what you really wanted was for the variable "my_variable" to equal 7. To achieve that, type the following and hit enter:
my_variable = 5 + 2
Then let's say you want to do something with your new viable... Type the following and hit enter to set "my_other_variable" to 716:
my_other_variable
= 100 * my_variable + (20 - 4)
This is just the most basic example. Calculingua is really much more than a simple five function calculator -- it's designed to perform matrix mathematics. We'll not get into that here, but to learn about the rest of the functions
of Calculingua, type the following followed by enter:
help
Start HERE
Calculingua is a web application for mathematical analysis and design. Therefore the dominant interface elements have been developed to allow rapid analysis. The major elements are:
Math!
Calculingua is designed for math, so let's see how to do it:
2 + 5
You should see see that command be pushed to the History Window, followed by the answer. Note that without assigning this math to a variable, Calculingua assumes that you want the variable "ans" to equal this. Therefore, the variable "ans" now has the value 7.
my_variable = 5 + 2
my_other_variable = 100 * my_variable + (20 - 4)
help


YouTube
Here is How to increase Traffic to your YouTube Channel from searchenginewatch.com
5 Advanced YouTube SEO Tactics to Drive More Traffic to Your Videos & Website
It’s no secret that YouTube is a traffic source with almost limitless potential.
There’s only one problem:
It’s a very crowded place.
In fact, according to YouTube, there are more than 100 hours of videouploaded to the site every minute.Considering the deluge of content you have to compete with on YouTube, the obvious question is: “How do you get people to watch YOUR video instead of the millions of others?”
Ways to gain more Subscribers on Youtube:
1. Be Consitent in upolading. This will allow your viewers to have a reason to visit your page regulary thus ultimately giving them a reason to Subscirbe
2. Keep your video titles short yet interesting. This will catch your viewers immediate attenetion as well allow the title to displayed as whole in multiple places as opposed to the title being cuttoff partially when attached to other sources
When choosing keywords for your videos, run a quick Google search to see if there are video results for those keywords. If there are, your video has a better chance of ranking in search.
4. Promote your YouTube channel by connecting them to other media sources such as Facebook an Instagram. This will allow friends to know who you are as well as give a bigger base for your social media account
5. Add an attention capturing trailer video. You can do this by creating an advertsiment like intro to your YouTube channel and adding to to your frontpage of your YouTube channel.


I haven’t really given much thought to what my end goal or career pathway will be as of this time. At the moment I have just been concentrating on being competent with my technical skills, maybe as I continue I will find out what they are.
Time management is a skill that I have struggled with in the past if i'm going to keep on task for the sprints and the bootcamp I will have to fix this. During the sprints I will have a lot of free time and not a lot of supervition, so dedacating some time every day and then keeping on task is going to be very important if Im going to get my work to an exectabul level for me.
As well as time management I think like most people my public speaking needs some work. I know there is a presentation at the end of bootcamp and I would like to not stutter and look bad through the hole thing.
 But also before this course I have never done anything to do with web design or coding, and so the Teck stuff at least at the beginning will be a struggle.
Through out foundations I plan on treating the sprints like work so Monday to Friday I will be coming in at 9:30 and aim on leaving at 5ish. By working along side my cohort and instructors I hopefully will be able to finish my sprints before 5pm on a Friday.
I think when I get stuck on something for 30ish min I will ask one of the members of my cohort or one of the instructors for help.


{% set tab = 'settings' %} {% set page_title = 'HEXA-A - Settings' %} {% extends 'group/group_page.html' %} {% block group_content %}
Deleting your group will prementally delete all assignments, testsuites, and members's submissions data and you will not be able to recover them.


The main aim of this project is to study both classification and regression problems by developing our own feed-forward neural network (FFNN) code. We can reuse the regression algorithms studied in project 1. We will also include logistic regression for classification problems and write our own FFNN code for studying both regression and classification problems. The codes developed in project 1, including bootstrap and/or cross-validation as well as the computation of the mean-squared error and/or the \( R2 \) or the accuracy score (classification problems) functions can also be utilized in the present analysis.
Important Note: This project as well as project 3 have to be written as a scientific report. The instructions on how to do this and how we grade are available at https://github.com/CompPhysics/MachineLearning/blob/master/doc/Projects/EvaluationGrading/EvaluationForm.md. We will discuss this format during the various lab sessions. Please do spend some time to read our guidelines.
The data sets that we propose here are (the default sets)
However, if you would like to study other data sets, feel free to propose other sets. What we list here are mere suggestions from our side. If you opt for another data set, consider using a set which has been studied in the scientific literature. This makes it easier for you to compare and analyze your results. Comparing with existing results from the scientific literature is also an essential element of the scientific discussion. The University of California at Irvine with its Machine Learning repository at https://archive.ics.uci.edu/ml/index.php is an excellent site to look up for examples and inspiration. Kaggle.com is an equally interesting site. Feel free to explore these sites.
We will start with a regression problem and we will reuse our codes from project 1 starting with writing our own Stochastic Gradient Descent (SGD) code.
In order to get started, we will now replace in our standard ordinary least squares (OLS) and Ridge regression codes (from project 1) the matrix inversion algorithm with our own SGD code. You can choose whether you want to add the momentum SGD optionality or other SGD variants such as RMSprop or ADAgrad or ADAM. The lecture notes from week 40 contain more details
Perform an analysis of the results for OLS and Ridge regression as function of the chosen learning rates, the number of mini-batches and epochs as well as algorithm for scaling the learning rate. You can also compare your own results with those that can be obtained using for example Scikit-Learn's various SGD options. Discuss your results. For Ridge regression you need now to study the results as functions of the hyper-parameter \( \lambda \) and the learning rate \( \eta \). Discuss your results.
You will need your SGD code for the setup of the Neural Network and Logistic Regression codes. You will find the Python Seaborn package useful when plotting the results as function of the learning rate \( \eta \) and the hyper-parameter \( \lambda \) when you use Ridge regression.
Your aim now, and this is the central part of this project, is to write your own Feed Forward Neural Network code implementing the back propagation algorithm discussed in the lecture slides from week 41.
We will focus on a regression problem first and study either the Franke function or terrain data (or both or other data sets) from project 1. Discuss again your choice of cost function.
Write an FFNN code for regression with a flexible number of hidden layers and nodes using the Sigmoid function as activation function for the hidden layers. Initialize the weights using a normal distribution. How would you initialize the biases? And which activation function would you select for the final output layer?
Train your network and compare the results with those from your OLS and Ridge Regression codes from project 1. You should test your results against a similar code using Scikit-Learn (see the examples in the above lecture notes from week 41) or tensorflow/keras.
Comment your results and give a critical discussion of the results obtained with the Linear Regression code and your own Neural Network code. Compare the results with those from project 1. Make an analysis of the regularization parameters and the learning rates employed to find the optimal MSE and \( R2 \) scores.
A useful reference on the back progagation algorithm is Nielsen's book. It is an excellent read.
You should now also test different activation functions for the hidden layers. Try out the Sigmoid, the RELU and the Leaky RELU functions and discuss your results. You may also study the way you initialize your weights and biases.
With a well-written code it should now be easy to change the activation function for the output layer.
Here we will change the cost function for our neural network code developed in parts b) and c) in order to perform a classification analysis.
We will here study the Wisconsin Breast Cancer data set. This is a typical binary classification problem with just one single output, either True or Fale, \( 0 \) or \( 1 \) etc. You find more information about this at the Scikit-Learn site or at the University of California at Irvine.
To measure the performance of our classification problem we use the so-called accuracy score. The accuracy is as you would expect just the number of correctly guessed targets \( t_i \) divided by the total number of targets, that is $$ \text{Accuracy} = \frac{\sum_{i=1}^n I(t_i = y_i)}{n} , $$
where \( I \) is the indicator function, \( 1 \) if \( t_i = y_i \) and \( 0 \) otherwise if we have a binary classification problem. Here \( t_i \) represents the target and \( y_i \) the outputs of your FFNN code and \( n \) is simply the number of targets \( t_i \).
Discuss your results and give a critical analysis of the various parameters, including hyper-parameters like the learning rates and the regularization parameter \( \lambda \) (as you did in Ridge Regression), various activation functions, number of hidden layers and nodes and activation functions.
As stated in the introduction, it can also be useful to study other datasets.
Again, we strongly recommend that you compare your own neural Network code for classification and pertinent results against a similar code using Scikit-Learn or tensorflow/keras or pytorch.
Finally, we want to compare the FFNN code we have developed with Logistic regression, that is we wish to compare our neural network classification results with the results we can obtain with another method.
Define your cost function and the design matrix before you start writing your code. Write thereafter a Logistic regression code using your SGD algorithm. You can also use standard gradient descent in this case, with a learning rate as hyper-parameter. Study the results as functions of the chosen learning rates. Add also an \( l_2 \) regularization parameter \( \lambda \). Compare your results with those from your FFNN code as well as those obtained using Scikit-Learn's logistic regression functionality.
The weblink here https://medium.com/ai-in-plain-english/comparison-between-logistic-regression-and-neural-networks-in-classifying-digits-dc5e85cd93c3compares logistic regression and FFNN using the so-called MNIST data set. You may find several useful hints and ideas from this article.
After all these glorious calculations, you should now summarize the various algorithms and come with a critical evaluation of their pros and cons. Which algorithm works best for the regression case and which is best for the classification case. These codes can also be part of your final project 3, but now applied to other data sets.
Here follows a brief recipe and recommendation on how to write a report for each project.
The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008 or Python. The following prescription should be followed when preparing the report:
If you have Python installed (we recommend Python3) and you feel pretty familiar with installing different packages, we recommend that you install the following Python packages via pip as
See below for a discussion of tensorflow and scikit-learn.
For OSX users we recommend also, after having installed Xcode, to install brew. Brew allows for a seamless installation of additional software via for example
If you don't want to install various Python packages with their dependencies separately, we recommend two widely used distrubutions which set up all relevant dependencies for Python, namely


WITNESS LIST Criminal Justice Committee June 21, 2006 - 9:00A Interim charge #1 ON: Griffiths, Mike Chief Juvenile Probation Officer (Dallas County), Dallas, TX Jeffords, Chuck Research Director (Texas Youth Commission), Austin, TX Long, Darren Major (Sheriff Greg Hamilton), Austin, TX Interim charge #8 ON: Porter, Nicole Project Director (American Civil Liberties Union), Austin, TX Interim charge 1 ON: Murray, Owen MD (University of Texas Medical Branch), Galveston, TX Interim Charge #1 ON: Brockman, Nancy (Self), Weatherford, TX Collier, Bryan Parole Division Director (Texas Department of Cirminal Justice), Austin, TX Drymala, Alan (Self), San Antonio, TX Gilbert, Barry Juvenile Probation Officer (Randall County Juvenile Probation), Amarillo, TX Gusler, Bruce Deputy Director (Montogmery County), Conroe, TX Harris, Dwight Executive Director (Texas Youth Commission), Austin, TX Jenine, Boyd Chief Psychologist (Fort Bend County Juvenile Probation), Richmond, TX Kerss, Thomas Sheriff (Sheriff's Association of Texas), Nacogdoches, TX Leach, Ron Director (Montgomery County Juvenile Probation), Conroe, TX Lovelace, Joe Public Information Office (Hill Country Mental Health Mental Retardation Center), Kerrville, TX Lyon, Jennifer (Self), New Braunfels, TX Meade, Mike Chief (Fort Bend County Juvenile Probation), Richmond, TX Perez, Karen Director of Special Programs (El Paso County Juvenile Probation), El Paso, TX Quintana, Diana Deputy Director - Health Services Division (Harris County Juvenile Probation Department), Houston, TX Reyes, Linda Deputy Executive Director (Texas Youth Commission), Austin, TX Schnee, Steven Executive Director (Mental Health and Mental Retardation Association of Harris County), Houston, TX Shackelford, Wesley Special Counsel (Task Force on Indigent Defense), Austin, TX Spriggs, Vicki (Texas Juvenile Probation Commission), Austin, TX Vesowate, Joe Assistant Commissioner (Texas Department of State Health Services), Austin, TX White, Bonita Division Director (Texas Department of Criminal Justice - Community Justice Assistant Division), Austin, TX Wilson, Dee Director - TCOOMI (Texas Department of Criminal Justice), Austin, TX Interim Charge #8 ON: DeShields, Denise Executive Medical Director (Texas Tech University), El Paso, TX Dupuy, Leslie Administrative Director of Mental Health Serivces (University of Texas Medical Branch - Correction Managed Care), Huntsville, TX Hightower, Allen Executive Director (Correctional Managed Care), Huntsville, TX Kelly, Mike Director of Preventative Medicine (Texas Department of Criminal Justice), Huntsville, TX Raimer, Ben Vice President (University of Texas Medical Branch Corrections), Galveston, TX Sapp, Allen Assistant Director (Correctional Managed Health Care), Huntsville, TX Wells, Albert Dental Director (University of Texas Medical Branch), Palestine, TX Interim Charge 1 ON: Strand, Shawna Deputy Director (Randall County Youth Center of High Plains), Amarillo, TX


The document describes an AP library adapted for C++. The AP library for C++ contains a basic set of mathematical functions and collection classes needed to run the programs from the ALGLIB website.
This library must be compatible with any C++ compiler.
The library includes the only module ap.cpp
(with header file ap.h
). Just add it to your project.
In the header file ap.h
the namespace ap
is defined. It must be taken into account that the names of functions, constants and classes listed further should be prefixed by ap::.
AP_WIN32
This symbol (if defined by user) indicates that AP library is compiled under Win32. It allows library to use ABLAS (lightweight BLAS-like library with SSE2 support) if ABLAS is present on your system.
AP_ASSERT
This symbol enables checking of the array boundaries. If it is set by the "define" directive, then at each addressing to the dynamic array elements, the transferred index is verified for its correctness. In case of error the ap_error
exception is thrown. Checking the array boundaries makes the program more reliable, but slows down the program operation.
NO_AP_ASSERT
This symbol disables checking of the array boundaries. If it is set by the "define" directive, then the index being outside the array boundaries is not checked when the dynamic array elements are addressed.
UNSAFE_MEM_COPY
The "define" directive that sets this symbol is disabled. Do not activate it. The library contains no documentation concerning this symbol.
machineepsilon
The constant represents the accuracy of machine operations, that is the minimum number for 1+machineepsilon≠1
in the given bit grid. The constant may be taken "oversized", that is real accuracy can be even higher.
maxrealnumber
The constant represents the highest value of the positive real number, which could be represented on this machine. The constant may be taken "oversized", that is real boundary can be even higher.
minrealnumber
The constant represents the lowest value of positive real number, which could be represented on this machine. The constant may be taken "oversized", that is real boundary can be even lower.
int sign(double x)
Returns:
+1, if X>0
-1, if X<0
0, if X=0
double randomreal()
Returns a random real number from half-interval [0,1).
int randominteger(int maxv)
Returns a random integer between 0 and maxv-1.
double round(double x)
Returns the nearest integer to x. If x is right in the middle between two integers, then the function result depends on the implementation.
double trunc(double x)
Truncates the fractional part of x.
trunc(1.3) = 1
trunc(-1.3)= -1
double pi()
Returns the constant π
double sqr(double x)
Returns x2.
double maxreal(double m1, double m2)
Returns the maximum of two real numbers.
double minreal(double m1, double m2)
Returns the minimum of two real numbers.
int maxint(int m1, int m2)
Returns the maximum of two integers.
int minint(int m1, int m2)
Returns the minimum of two integers.
This is a class of exception which is thrown when different errors occur in the AP library, for example - if the array index is found incorrect when the array boundaries check is enabled. The current version of the class contains no fields and doesn't allow to find the cause for the exception generated.
First we will discuss general principles of working with array classes, then describe the classes and their methods.
Classes of the standard library allow operations with matrixes and vectors (one-dimensional and two-dimensional arrays) of variable size and with variable numeration of elements, that is, the array numeration can start at any number, end at any number and change dynamically. Because the array classes are templates, the arrays of the same dimension have the same set of member functions. And as the member functions of arrays with different dimensions differ only by the number of arguments, there is little difference between two-dimensional and one-dimenstional arrays.
Working with an array starts with the array creation. You should distinguish the creation of array class instance and the memory allocation for the array. When creating the class instance, you can use constructor without any parameters, that creates an empty array without any elements, or you can use copy and assignment constructors that copy one array into another. In case the array is created by the default constructor, it contains no elements and an attempt to address them may cause the program failure. If, during the copy operation, the source array has no memory allocated for the array elements, destination array will contain no elements either. If the source array has memory allocated for its elements, destination array will allocate the same amount of memory and copy the elements there. That is, the copy operation yields into two independent arrays with indentical contents.
After an empty array has been created, you should allocate the memory for its elements, using the
To address the array elements, an overloaded
integer_1d_array factarr(int n) { integer_1d_array result; result.setbounds(1,n); result(1) = 1; for(int i=2; i<=n; i++) result(i) = result(i-1)*i; return result; }
This class is a template of dynamical one-dimensional array with variable upper and lower boundaries. Based on this class, the following classes are constructed:
typedef template_1d_array<int> integer_1d_array; typedef template_1d_array<double> real_1d_array; typedef template_1d_array<bool> boolean_1d_array; typedef template_1d_array<complex> complex_1d_array;
template_1d_array()
Constructor. Creates an empty array.
~template_1d_array()
Destructor. Frees memory, which had been allocated for the array.
template_1d_array(const template_1d_array &rhs)
Copy constructor. Allocates the separate storage and copies source array content there.
const template_1d_array& operator=(const template_1d_array &rhs)
Assignment constructor. Deletes destination array content, frees allocated memory, then allocates a separate storage and copies source array content there.
T& operator()(int i)
Addressing the array element number i
void setbounds(int iLow, int iHigh)
Memory allocation for the array . Deletes the array content, frees allocated memory, then allocates a separate storage for iHigh-iLow+1 elements.
The elements numeration in the new array starts with iLow and ends with iHigh The content of the new array is not defined.
void setcontent(int iLow, int iHigh, const T *pContent)
The method is similar to the setbounds() method, but after allocating a memory for a destination array it copies the content of pContent[] there.
T* getcontent()
Gets pointer to the array. The data pointed by the returned pointer can be changed, and the array content will be changed as well.
int getlowbound()
int gethighbound()
Get lower and upper boundaries.
raw_vector<T> getvector(int iStart, int iEnd)
The method is used by the basic subroutines of linear algebra to get access to the internal memory of the array. The method returns an object, holding the pointer to a vector part (starting from the element with iStart index value and finishing with iEnd index value). If iEnd<iStart, then an empty vector is considered to be set.
const_raw_vector<T> getvector(int iStart, int iEnd) const
The method is used by the basic subroutines of linear algebra to get access to the internal memory of the array. The method returns an object, holding the pointer to a vector part (starting from the element with iStart index value and finishing with iEnd index value). If iEnd<iStart, then an empty vector is considered to be set. The returned object is for read only.
This class is a template of dynamical two-dimensional array with variable upper and lower boundaries. Based on this class, the following classes are constructed:
typedef template_2d_array<int> integer_2d_array; typedef template_2d_array<double> real_2d_array; typedef template_2d_array<bool> boolean_2d_array; typedef template_2d_array<complex> complex_2d_array;
template_2d_array()
Constructor. Creates an empty array.
~template_2d_array()
Destructor. Frees memory, which had been allocated for the array.
template_2d_array(const template_2d_array &rhs)
Copy constructor. Allocates the separate storage and copies source array content there.
const template_2d_array& operator=(const template_2d_array &rhs)
Assignment constructor. Deletes destination array content, frees allocated memory, then allocates a separate storage and copies source array content there.
T& operator()(int i1, int i2)
Addressing the array element with [i1,i2] index value.
void setbounds(int iLow1, int iHigh1, int iLow2, int iHigh2)
Memory allocation for the array . Deletes the array content, frees allocated memory, then allocates a separate storage for (iHigh1-iLow1+1)*(iHigh2-iLow2+1) elements.
The elements numeration in the new array starts with iLow1 and finishes with iHigh1 for the first dimension, and similarly for the second dimension.
The content of the new array is not defined.
void setcontent(int iLow1, int iHigh1, int iLow2, int iHigh2, const T *pContent)
The method is similar to the setbounds() method, but after allocating a memory for a destination array it copies the content of pContent[] there.
The pContent array contains two-dimensional array, written in line, that is, the first element is [iLow1, iLow2], then goes [iLow1, iLow2+1], and so on.
int getlowbound(int iBoundNum)
int gethighbound(int iBoundNum)
Get lower and upper boundaries of one-dimensional array with number iBoundNum.
raw_vector
const_raw_vector
The iColumn parameter must be the valid column number (that is be within the boundaries of the array). If iRowEnd<iRowStart, then an empty column is considered to be set.
raw_vector
const_raw_vector
The iRow parameter must be the valid line number (that is be within the boundaries of the array). If iColumnEnd<iColumnStart, then an empty line is considered to be set.
Basic subroutines of linear algebra included into the AP library are close by their functions to the Level 1 BLAS, allowing to perform the simplest operations with vectors and with the matrix lines and columns.
Subroutines should be used in the following way. First you need to get an object of the raw_vector
type or const_raw_vector
type, pointing to the part of the matrix or array being processed using the methods getcolumn
/getrow
(for the matrix), or getvector
(for the array). The object holds the pointer for the line (or column) start, the number of elements in the processed line (column), and the interval between the two adjacent elements. When using a standard scheme for matrixes storage in the memory (that is, by lines), the interval between the elements of one line equals 1, and the interval between the adjacent elements of one column equals the number of columns. The received object is transferred as argument to the corresponding subroutine, which performs operations on the matrix part pointed by the internal object pointer.
Below is given the list of basic subroutines of linear algebra, available in the AP library.
template<class T> T vdotproduct(const_raw_vector<T> v1, const_raw_vector<T> v2)
The subroutine calculates the scalar product of transferred vectors.
template<class T> void vmove(raw_vector<T> vdst, const_raw_vector<T> vsrc)
template<class T> void vmoveneg(raw_vector<T> vdst, const_raw_vector<T> vsrc)
template<class T, class T2> void vmove(raw_vector<T> vdst, const_raw_vector<T> vsrc, T2 alpha)
This subroutine set is used to copy one vector content to another vector using different methods: simple copy, copy multiplied by -1, copy multiplied by a number.
template<class T> void vadd(raw_vector<T> vdst, const_raw_vector<T> vsrc)
template<class T, class T2> void vadd(raw_vector<T> vdst, const_raw_vector<T> vsrc, T2 alpha)
This subroutine set is used to add one vector to another using different methods: simple addition or addition multiplied by a number.
template<class T> void vsub(raw_vector<T> vdst, const_raw_vector<T> vsrc)
template<class T, class T2> void vsub(raw_vector<T> vdst, const_raw_vector<T> vsrc, T2 alpha)
This subroutine set is used to subtract one vector from another using different methods: simple subtraction or subtraction multiplied by a number.
template<class T, class T2> void vmul(raw_vector<T> vdst, T2 alpha)
Multiplies vector by a number and stores the result in the same place.
If both operands are vectors/rows with interval between the elements equals 1 and length equals N, alternative syntax can be used.
template<class T> T vdotproduct(const T *v1, const T *v2, int N)
template<class T> void vmove(T *vdst, const T *vsrc, int N)
template<class T> void vmoveneg(T *vdst, const T *vsrc, int N)
template<class T, class T2> void vmove(T *vdst, const T *vsrc, int N, T2 alpha)
template<class T> void vadd(T *vdst, const T *vsrc, int N)
template<class T, class T2> void vadd(T *vdst, const T *vsrc, int N, T2 alpha)
template<class T> void vsub(T *vdst, const T *vsrc, int N)
template<class T, class T2> void vsub(T *vdst, const T *vsrc, int N, T2 alpha)
template<class T, class T2> void vmul(T *vdst, int N, T2 alpha)
AP library includes the ap::complex
class that allows operations with compex numbers. Access to real and imaginary parts of complex number is implemented through the public fields x
and y
. Arithmetical operations are supported, the same as with embedded data types, by overloading of operations: addition, subtraction, multiplication and division. Addition, subtraction and multiplication are performed by a usual way (i.e., according to their definition which can be found in any textdook in algebra), division is performed using so called "safe" algorithm that could never cause overflow when calculating intermediate results. The library also includes several functions performing elementary operations with complex numbers.
const double abscomplex(const complex &z)
Returns the modulus of complex number z. It should be noted that the modulus calculation is performed using so called "safe" algorithm, that could never cause overflow when calculating intermediate results.
const complex conj(const complex &z)
Returns complex conjugate to z.
const complex csqr(const complex &z)
Returns the square of z.


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java.lang.Object core.grammar.Terminal_Impl
public class Terminal_Impl
Class that offers a concrete implementation of the interface Terminal. It does not belong to the Public API.
| Constructor Summary | |
|---|---|
Terminal_Impl()
Empty constructor. |
| Method Summary | |
|---|---|
java.util.Collection<Production> |
getAllRightsProd()
Returns all the Productions where the Terminal is at the right side. |
int |
getId()
Return the ID of the NonTerminal. |
int |
getId()
Return the ID of the NonTerminal. |
Production |
getRightProd()
Returns a random Production where the NonTerminal is at the right side. |
Production |
getRightProd(Production p)
Checks if the Terminal is at the right side of the Production with ID==p.getId(). |
void |
setId(int id)
Set the ID of the NonTerminal. |
void |
setId(int id)
Set the ID of the NonTerminal. |
void |
setRelation(Production p)
If any Terminal symbol that belongs to the Production p match with the Terminal that is represented by THIS, then the method sets the right structure of the Terminal with the Production p. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Terminal_Impl()
| Method Detail |
|---|
public java.util.Collection<Production> getAllRightsProd()
Terminal
getAllRightsProd
in interface Terminal
public Production getRightProd()
Terminal
getRightProd
in interface Terminal
public Production getRightProd(Production p)
Terminal
getRightProd
in interface Terminal
p
- The Production object used as a filter. It is only necessary that has a value in the ID
field.public void setRelation(Production p)
Terminal
setRelation
in interface Terminal
p
- The Production object used as a filter. It is only necessary that has a value in the ID
field.public int getId()
public void setId(int id)
id
- The ID to be associated with the NonTerminal.public int getId()
public void setId(int id)
id
- The ID to be associated with the NonTerminal.
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#include <TMC2208_bitfields.h>
|
| constexpr static uint8_t | address = 0x06 |
| |
Definition at line 49 of file TMC2208_bitfields.h.
◆ @69
◆ __pad0__
| bool TMC2224_n::IOIN_t::__pad0__ |
◆ __pad1__
| uint16_t TMC2224_n::IOIN_t::__pad1__ |
◆ address
| constexpr static uint8_t TMC2224_n::IOIN_t::address = 0x06 |
|
staticconstexpr |
◆ dir
| bool TMC2224_n::IOIN_t::dir |
◆ enn
| bool TMC2224_n::IOIN_t::enn |
◆ ms1
| bool TMC2224_n::IOIN_t::ms1 |
◆ ms2
| bool TMC2224_n::IOIN_t::ms2 |
◆ pdn_uart
| bool TMC2224_n::IOIN_t::pdn_uart |
◆ sel_a
| bool TMC2224_n::IOIN_t::sel_a |
◆ spread
| bool TMC2224_n::IOIN_t::spread |
◆ sr
| uint32_t TMC2224_n::IOIN_t::sr |
◆ step
| bool TMC2224_n::IOIN_t::step |
◆ version
| uint8_t TMC2224_n::IOIN_t::version |
The documentation for this struct was generated from the following file:


45 To create a block library, choose “Export blocks…” from the File menu. You then see a window like this: The window shows all of your global custom blocks. You can uncheck some of the checkboxes to select exactly which blocks you want to include in your library. (You can right-click or control-click on the export window for a menu that lets you check or uncheck all the boxes at once.) Then press OK.  To import a block library, use the “Import…” command in the File menu, or just drag the XML ﬁle into the Snap ! window. Several block libraries are included with Snap ! ; for details about them, see page 25. D. Custom blocks and Visible Stepping Visible stepping normally treats a call to a custom block as a single step. If you want to see stepping inside a custom block you must take these steps in order: 1. Turn on Visible Stepping. 2. Select “Edit” in the context menu(s) of the block(s) you want to examine. 3. Then start the program. The Block Editor windows you open in step 2 do not have full editing capability. You can tell because there is only one “OK” button at the bottom, not the usual three buttons. Use the button to close these windows when done stepping.


{tag_cartUrl} | Renders the URL to the cart summary page, which can be either OrderRetrievev2.aspx or OrderRetrieve.aspx (the old, legacy v1 version) |
{tag_itemCount} | Renders the number of the items in the cart or 0 if none. |
{tag_totalAmount} | Renders the total money amount of the items (with two decimals) or 0.00 if the items don't have prices or there are no items in the cart |
{tag_currency} | Renders the currency of the current country setting, which is either the site country or the country of the order (if set) |
{tag_totalAmountWithCurrency} | Renders both currency and total amount (this is only for the sake of convenience, you might want to use it instead of {tag_currency}{tag_totalAmount}) |
{tag_isEmpty} | Renders 0 or 1 (for when the cart is empty - used to display a different message when there are no items) |
{tag_countryCode} | Renders the country code (of the site or of the order, if set) |


Functions to access Lending Club's API and assist the investor manage their account. Lending Club is a peer-to-peer lending service where loans are broken up into $25 notes that investors buy with the expectation of earning a return on the interest. You can learn more about the API here: <http://www.lendingclub.com/developers/lc-api.action>.
| Version: | 2.0.0 |
| Imports: | dplyr, plyr, httr, jsonlite, utils, readr |
| Suggests: | knitr, rmarkdown, testthat, covr |
| Published: | 2018-06-05 |
| Author: | Ryan Kuhn [aut, cre] |
| Maintainer: | Ryan Kuhn <kuhnrl30 at gmail.com> |
| BugReports: | https://github.com/kuhnrl30/LendingClub/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/kuhnrl30/LendingClub |
| NeedsCompilation: | no |
| Citation: | LendingClub citation info |
| Materials: | README NEWS |
| In views: | WebTechnologies |
| CRAN checks: | LendingClub results |
| Reference manual: | LendingClub.pdf |
| Vignettes: |
LendingClub Quick Start Guide |
| Package source: | LendingClub_2.0.0.tar.gz |
| Windows binaries: | r-devel: LendingClub_2.0.0.zip, r-release: LendingClub_2.0.0.zip, r-oldrel: LendingClub_2.0.0.zip |
| OS X binaries: | r-release: LendingClub_2.0.0.tgz, r-oldrel: LendingClub_2.0.0.tgz |
| Old sources: | LendingClub archive |
Please use the canonical form https://CRAN.R-project.org/package=LendingClub to link to this page.


{{ content }} {% include analytics.html code='UA-39461955-7' %} {% include cookie_law.html %} {% include leady.html code='4HkuP9U3lPoojyKu' %}


Hard work is the most reliable thing I have known.
— Shekhar Singh (@rootcss) March 18, 2017
Being consistent should be the motivation above anything.
— Shekhar Singh (@rootcss) March 14, 2019
Choose consistency over optimization.
— Shekhar Singh (@rootcss) April 12, 2020
Do you happen to see a lot of dreams while sleeping on most days (~5 out of 7 days)? (not nightmares, just normal dreams)
— Shekhar Singh (@rootcss) November 2, 2019
"Believe in the process" is such an understatement. Believe in the process.
— Shekhar Singh (@rootcss) July 6, 2019
Learn the way you can teach others.
— Shekhar Singh (@rootcss) March 22, 2019
Write a code that you'll love in the future.
— Shekhar Singh (@rootcss) February 24, 2019


Complete Me is a JavaScript library for autocompletes. It can suggest results (rather like Google search). And is DOM friendly - a maximum of 10 results are rendered in the DOM at once.
It doesn’t have any dependencies.
The library can be found on GitHub as can the documentation.
A blog post about building it can be found here.
And some examples can be seen below:
Big thanks to CommuSoft where I built version 0.1.0

// names is an array of 1000 strings
exampleOne = new CompleteMe("#example-one", {
data: names,
suggestResult: true,
canAddNewRecords: true,
onSelect: function(value) {
console.log("onSelect " + value);
},
onAdd: function(newRecord) {
console.log("onAdd " + newRecord);
}
});

// users is an array of 1000 objects
exampleTwo = new CompleteMe("#example-two", {
data: users,
suggestResult: true,
placeholder: "",
selectedKey: 647,
onSelect: function(value, key) {
console.log("onSelect " + key + ": " + value);
},
onSuggestionSelected: function(value) {
console.log("onSuggestionSelected " + value);
}
});


I'm 18 years old and I reside in Omaha, Nebraska. Ever since I was a young teenager I have always had a love for computers and design. Although, I did not get into web design/coding until I was a junior in high school. I started out video editing at the age of 12 and from there I moved on to 3D design, audio editing, and some photo editing. I'm by no means an expert or skilled at any of the methods I just listed, they were all done for enjoyment. This is the first website I've ever made, and I hope there will be many more to come!


Runaway win for Tamil Nadu
Minnows Tripura flounder against the southern powerhouse
by M R. Praveen ChandranTamil Nadu was ruthless in its annihilation of minnows Tripura in the Syed Musthaq Ali T20 cricket tournament at the Sports Hub here on Friday.
The southern powerhouse cantered to an eight-wicket win — its fourth in the tournament — after Tripura managed just 79 for eight in the 20 overs.
Washington Sundar (46) and B. Aparajith (33 not out) put on 72 runs for the first wicket as Tamil Nadu won with seven overs to spare.
Sai Kishore bowled a dream first over in which he took wickets off his first two deliveries as Tripura started on the wrong foot.
T. Natarajan joined the fun by knocking out Udiyan Bose's off stump. Thereafter it was a steady procession and at nine for seven, Tripura's own record for lowest score (30) was under threat.
However, Dinesh Karthik chose to bowl out his two successful bowlers much to the relief of the Tripura batsmen.
Saurabh Das (44) and Neelambuj Vats (28) began the repair work slowly. The eighth-wicket stand added 70 runs. But cricket was staid with Saurabh and Vats unleashing the odd big shots.
However, Saurabh flexed his broad shoulders in M. Ashwin's last over to add a few useful runs.
Tamil Nadu openers Washington and Aparajith were unhurried and the wayward Tripura attack presented them with enough scoring opportunities.
Washington was the more aggressive of the two and played elegant shots against the medium-pacers. Aparajith slowly found his touch as Tamil Nadu cruised towards the target.
However, the quick wickets of Washington and M. Ashwin came against the run of play and reduced the margin of defeat.


What Kane and Ross can do to help your back pain
Back pain is something most of us will suffer at one time or another although there is a world of difference between aching muscles or ligaments and the raging pain from acute joint strain or prolapsed disc. It can occur at any age but is more common from mid thirties to sixties.
Your back is a complicated arrangement of supports and levers. The muscles, tendons, ligaments and joints work in cooperation to provide support and enable you to move. All these structures are prone to stresses and strain which can lead to symptoms of back pain.
At Kane and Ross your osteopath will take a detailed history and perform clinical testing including osteopathic palpation to evaluate the state of the muscles, tendons, ligaments and joints. With a proper understanding of the causes and contributing factors a treatment regime will be initiated to alleviate your symptoms. There are many causes of back pain from strained muscles to prolapsed intervertebral disc. Your treatment regime will be individualised to address your specific symptoms as well as any underlying imbalances.
Not every case of back pain can be helped by osteopathic treatment and it is important to identify when someone needs to be referred for a surgical opinion or further investigations. At Kane and Ross we may use x-rays, scans and blood work to establish whether your problem is likely to respond to osteopathic treatment and what treatments or activities to avoid.
Most cases of back pain can be helped if not cured by osteopathic treatment. A range of gentle hands-on techniques are used to release tension patterns and restrictions from very gentle 'cranial techniques', positional release, neuromuscular techniques to manipulation where appropriate.
Fast effective pain relief may be the first objective but we also want to identify underlying causes, whether that be poor work station set-up, lack of exercise or even the wrong kind of exercise. Once we understand what the causes or contributing factors are, we will work with you to put together a manageable exercise regime - stretching, strengthening and rebalancing muscle function.
Our aim is to get you moving and in control rather than being controlled by back pain.


Honzi
/
Guides
/
World of Warcraft
/Tools
Abilities
%
Max:
Discerning Eye of the Beast
Swift Hand of Justice
2%
Bloodthirst
3%
Arcane Intellect
Crimson Vial
(per second)
Health Funnel
(damage per second)
Power Word: Fortitude
5%
Death Strike
Mend Pet
(per 2 seconds)
7%
Arcane Familiar
Health Funnel
(healing per second)
Mana Gem
10%
Crimson Vial
(total)
Execute
Gift of the Naaru
Reincarnation
Shadow Word: Death
Victory Rush
20%
Desperate Prayer
Health Funnel
(total damage)
Healthstone
25%
Exhilaration
30%
Ancestral Spirit
Ancestral Vision
Mend Pet
(total)
Redemption
Resurrection
Resuscitate
Revive
35%
Feed Pet
Health Funnel
(total healing)
50%


Alright, now that you understand the order()
function, let us do something useful with it. You would like to rearrange your data frame such that it starts with the smallest planet and ends with the largest one. A sort on the diameter
column.
order()
on planets_df$diameter
(the diameter
column of planets_df
). Store the result as positions
.planets_df
with the positions
vector as row indexes inside square brackets. Keep all columns. Simply print out the result.
load(url("http://s3.amazonaws.com/assets.datacamp.com/course/intro_to_r/planets.RData"))
# planets_df is pre-loaded in your workspace
# Use order() to create positions
positions <-
# Use positions to sort planets_df
# planets_df is pre-loaded in your workspace
# Use order() to create positions
positions <- order(planets_df$diameter)
# Use positions to sort planets_df
planets_df[positions, ]
msg = "Do not remove or overwrite the `planets_df` data frame!"
test_object("planets_df", undefined_msg = msg, incorrect_msg = msg)
test_object("positions",
incorrect_msg = "Have you correctly calculated the `positions` variable? You can use `order(planets_df$diameter)`.")
test_output_contains("planets_df[positions,]",
incorrect_msg = "Use `planets_df[positions, ]` to sort `planets_df`; the comma inside the square brackets is crucial!")
success_msg("Wonderful! This exercise concludes the chapter on data frames. Remember that data frames are extremely important in R, you will need them all the time. Another very often used data structure is the list. This will be the subject of the next chapter!")
order(planets_df$diameter)
to create positions
.positions
inside square brackets: planets_df[...]
; can you fill in the ...
?


‘People Are Dying in Front of You’: Nollywood Actress Juliet Ibrahim Details Her Life as a Refugee
by Lauren FloydNollywood actress Juliet Ibrahim seemed to have experienced more hardship before she reached adulthood than many do their whole lives.
The 33-year-old lived through three civil wars, was molested as a child and encountered frequent rejection in the film industry because of how she spoke, she said.
“My life has been one hell of a rollercoaster ride,” Ibrahim penned in the introduction to her new autobiography, “A Toast To Life.”
Still, amid all the destruction she witnessed, she dreamed of being a star.
“I just saw myself on stage,” she said.
Now an award-winning actress, film producer and singer, Ibrahim went on to be featured in more than 100 productions, according to her book.
She also founded her own eyelash line, launched a music video production company and started the nonprofit Juliet Ibrahim Foundation to eradicate several diseases in Ghana and other African countries.
Ibrahim was born in Ghana to a Lebanese father and a Liberian mother, and the starlet was raised in Liberia, the Ivory Coast, Ghana and Lebanon, with most of the moves representing different conflicts she and her family had to flee.
The first forced her out of her home when she was only 6 years old, Ibrahim said. Another sent her fleeing rebels and jet bombers along an Ivory Coast border.
Ibrahim said people don’t truly understand what it means to be a refugee.
“We don’t understand how they feel,” she said.
Ibrahim said fireworks still scare her.
“I’m thinking, ‘Oh God, what’s happening,'” she said.
The actress decided she needed to share her story.
“I just feel like a lot of people can relate to these stories,” she said.
After falling short of a fundraising goal to pay for a movie chronicling her life, the actress decided to write a book instead.
“It took me two years to actually put the book together,” she said.
When she did, she revealed more than she was even prepared to share with her closest relatives.
Ibrahim wrote in her book that she was about 8 years old when her mother sent her to her favorite uncle’s room to retrieve something and he molested her.
He told Ibrahim to close the door, unzipped his trousers and forced her to touch his genitals, the author said.
She added that her mom only found out about the encounter after reading the book.
“I couldn’t bring myself to tell her,” she said.
She also changed her uncle’s name in print.
“She had so much love for him. I just didn’t know how to break her heart,” Ibrahim said of her mother.
The author admitted part of what took so long writing her book was gaining the courage to reveal her story.
“It’s not easy to be vulnerable to the world and let everybody into your space,” she said.
So instead of writing about her life in a negative light, she chose to pen her story as a celebration of her journey and the strength she gained.
“I can survive in any situation,” Ibrahim said.
Her road to acting wasn’t smooth and perfectly paved either. After getting lucky initially, a dry period followed in Ghana, Ibrahim said.
Producers told her her accent was not a typical Ghanaian accent. She admitted it wasn’t. It was a mix of dialects from all the regions she had lived in, but the rejection hurt.
“I was really down,” she said. “I was depressed.”
Ibrahim didn’t catch another break until she met with a Nigerian director in Ghana who told her he had one scene in a movie for her.
“I just took a leap of faith,” Ibrahim said.
She did the scene, and someone who saw her made a phone call to a director on her behalf.
It led to a lead role in Lagos, Ibrahim said.
“They didn’t care about accent,” she said.
The Nigerian film industry is so diverse actresses didn’t need to sound the same, Ibrahim said.
“And I became so popular in Nigeria that the Ghanaians started requesting me for acting,” she said.
The takeaway for Ibrahim was to keep going.
“Every story, whether of triumph or failure, is one I celebrate because I am alive,” she penned.


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Quiz {% endblock %} {% block content %}
Before you begin, please answer the following questions to ensure that you understand the instructions.
Your answer for this quesiton is incorrect. The correct answer is 31.
This is because the fourth player decides to contribute 20 in the first round
and to contribute 7 in the second round if other players’ average contribute is 5 in the first round.
The group’s total contribution to the POOL is thus 7 + 5 + 10 + 0 = 22.
Each player’s earning from the POOL is thus 22*2/4 = 11.
Your final payoff is 20 - 0 + 11 = 31.
Your answer for this quesiton is correct.
This is because the fourth player decides to contribute 20 in the first round
and to contribute 7 in the second round if other players’ average contribute is 5 in the first round.
The group’s total contribution to the POOL is thus 7 + 5 + 10 + 0 = 22.
Each player’s earning from the POOL is thus 22*2/4 = 11.
Your final payoff is 20 - 0 + 11 = 31.
Your answer for this question is incorrect. The correct answer is 30.
This is because
your second round decision is the payoff-relevant decision.
In this round you decide to contirbute 10 when other players on average contributed 10 in the first round.
The group total contribution is thus 10 + 5 + 10 +15 = 40.
Each individual earnings from the project is thus 40*2/4 = 20.
Your final payoff is 20 - 10 + 20 = 30.
Your answer for this question is correct.
This is because
your second round decision is the payoff-relevant decision.
In this round you decide to contirbute 10 when other players on average contributed 10 in the first round.
The group total contribution is thus 10 + 5 + 10 +15 = 40.
Each individual earnings from the project is thus 40*2/4 = 20.
Your final payoff is 20 - 10 + 20 = 30.
At the beginning of this decision-making experiment you will be matched with three other players, randomly selected from the people in this room, to form a group of four. You will remain in this group of four players for the duration of the entire decision-making experiment. The identity of the other players of your group will not be revealed. Each player in your group will receive {{ Constants.endowment }} tokens at the beginning of this experiment. The experiment has two independent rounds. In the first round, each player decides how much of the {{ Constants.endowment }} tokens to keep, and how much to contribute to a public POOL that is shared by all players in your group: You can contribute any number between 0 and {{ Constants.endowment }} and only whole numbers will be accepted. In the second round, you will be asked to indicate your conditional contribution levels for each of the 21 possible average contribution levels {0, 1, 2, …, 20} of your groupmates.
Payoffs:Your earning from the game is the amount you did not contribute to the POOL plus the return from the POOL. Each player’s return from the POOL is calculated as follows: The total contribution from all players to the POOL is multiplied by a factor of 2, which is the total earning for the group. The total earning is then split equally among all 4 players, regardless of their contribution to the POOL.
In the end, the computer program will randomly select three players in the group. The group’s total contribution to the POOL is the sum of these three players' first round contribution plus the fourth player's second round contribution from the binding condition. The binding condition is determined by the other three players’ actual average contribution in the first round.
For the selected three players, the first round’s outcome determines their final payoffs. Each player’s final payoff is the return from the POOL plus the amount this player didn't contribute in the first round. For the selected fourth player, the second round’s outcome determines the final payoff. This player’s final payoff is the earnings from the POOL plus the amount s/he didn't contribute in the second round.
{% endblock %}


Hey Anna! Sorry for delayed response. I've just finished reading the mail you sent couple of...
Example block-level help text here.
[email protected]


"x" "1" "HAZRA,B, PAL,S, SHETTY,TK AND BHATTACHARYA,RK, AN INVESTIGATION ON THEMUTAGENIC ACTIVITY OF DIOSPYRIN AND ITS SEMISYNTHETIC DERIVATIVES, MED. SCI.RES. 23(7):449-450, 1995"


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PTS
Section: Linux Programmer's Manual (4)Updated: 2002-10-09
Index Return to Main Contents
NAME
ptmx and pts - pseudo-terminal master and slaveDESCRIPTION
The file /dev/ptmx is a character file with major number 5 and minor number 2, usually of mode 0666 and owner.group of root.root. It is used to create a pseudo-terminal master and slave pair.When a process opens /dev/ptmx, it gets a file descriptor for a pseudo-terminal master (PTM), and a pseudo-terminal slave (PTS) device is created in the /dev/pts directory. Each file descriptor obtained by opening /dev/ptmx is an independent PTM with its own associated PTS, whose path can be found by passing the descriptor to ptsname(3).
Before opening the pseudo-terminal slave, you must pass the master's file descriptor to grantpt(3) and unlockpt(3).
Once both the pseudo-terminal master and slave are open, the slave provides processes with an interface that is identical to that of a real terminal.
Data written to the slave is presented on the master descriptor as input. Data written to the master is presented to the slave as input.
In practice, pseudo-terminals are used for implementing terminal emulators such as xterm(1), in which data read from the pseudo-terminal master is interpreted by the application in the same way a real terminal would interpret the data, and for implementing remote-login programs such as sshd(8), in which data read from the pseudo-terminal master is sent across the network to a client program that is connected to a terminal or terminal emulator.
Pseudo-terminals can also be used to send input to programs that normally refuse to read input from pipes (such as su(1), and passwd(1)).
FILES
/dev/ptmx, /dev/pts/*NOTES
The Linux support for the above (known as Unix98 pty naming) is done using the devpts file system, that should be mounted on /dev/pts.Before this Unix98 scheme, master ptys were called /dev/ptyp0, ... and slave ptys /dev/ttyp0, ... and one needed lots of preallocated device nodes.
SEE ALSO
getpt(3), grantpt(3), ptsname(3), unlockpt(3), pty(7)COLOPHON
This page is part of release 3.22 of the Linux man-pages project. A description of the project, and information about reporting bugs, can be found at http://www.kernel.org/doc/man-pages/.
Index
This document was created by man2html, using the manual pages.
Time: 05:33:53 GMT, December 24, 2015


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yarn serve
or yarn dev
to preview the app on http://localhost:1212/
yarn build
to buildReplace ## Disrupt
by
Disrupt

~/scripts/dither.sh ~/Google\ Drive/screenshots-art/Halo\ 3/
Sips -c 1200 2880 mrright.jpg
yarn css
to build the CSSyarn images
to transform the images in assets/to/


Crackle Synth 2.0
Crackle Synth 2.0 is the name of the design research centered on Michel Waisvisz's 1970s electronic musical instrument the crackle synth.
The research was part of project Remaking Crackle
The objective of this project was to place this historical instrument in our current technical and cultural context. The original instrument was analysed and subsequently various options for a contemporary approach to the electronic design were mapped. The design was examined, among other things, as is the part it may play in a modern musical line up.
My research mainly focused on defining a very essential volume, and then on the development of a very communicative interface. The new crackle synth is made out of two simple wooden boxes, covered on top by two panels of engraved poly carbonate where the interface and the speaker are placed. A handle and two clips are applied subsequently to the main volumes in order to maintain the possibility of folding and carrying around just like the original.
Some pictures of the design and fabrication process can be found here
Project "Remaking Crackle" was an initiative of Kristina Andersen and was developed in collaboration with Sybren Danz and Peter Edwards .
The prototype realized now belongs to the Lebanese artist Mazen Kerbaj


This easy-to-use device can be operated by anyone.
Windows and android apps are available to smoothly interact with the device.
It displays Air Quality Index within 1m radius of the device.
You can take the Clean Air Hub anywhere!
Built with the open source platform Arduino.
The Clean Air Hub uses bluetooth to exchange data.
You can save data locally by using a micro SD card.
The device supplies real time data to its users.
One full charge can give upto 8+ hours of performance!