Copyright © 2012 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply.
This module extends the CSS sizing properties with keywords that represent content-based "intrinsic" sizes and context-based "extrinsic" sizes, allowing CSS to more easily describe boxes that fit their content or fit into a particular layout context. CSS is a language for describing the rendering of structured documents (such as HTML and XML) on screen, on paper, in speech, etc.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
Publication as a Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
The (archived) public mailing list<EMAIL_ADDRESS>(see instructions) is preferred for discussion of this specification. When sending e-mail, please put the text “css3-sizing” in the subject, preferably like this: “[css3-sizing] …summary of comment…”
This document was produced by the CSS Working Group (part of the Style Activity).
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
This is the first public working draft of the css3-sizing module.
This section is not normative.
CSS layout has several different concepts of automatic sizing that are
used in various layout calculations. This section defines some more
precise terminology to help connect the layout behaviors of this spec to
the calculations used in other modules, and some new keywords for the
‘width
’ and ‘height
’ properties to allow authors to assign
elements the dimensions resulting from these size calculations.
This module extends the ‘width
’,
‘height
’, ‘min-width
’, ‘min-height
’, ‘max-width
’, ‘max-height
’, and ‘column-width
’ features defined in [CSS21] chapter 10 and in [CSS3COL]
This specification follows the CSS property definition conventions from [CSS21]. Value types not defined in this specification are defined in CSS Level 2 Revision 1 [CSS21]. Other CSS modules may expand the definitions of these value types: for example [CSS3COLOR], when combined with this module, expands the definition of the <color> value type as used in this specification.
In addition to the property-specific values listed in their definitions, all properties defined in this specification also accept the inherit keyword as their property value. For readability it has not been repeated explicitly.
Note: This is called the available width in CSS2.1§10.3.5 and computed by the rules in CSS2.1§10.3.3.
Note: This is called the preferred width in CSS2.1§10.3.5 and the maximum cell width in CSS2.1§<IP_ADDRESS>.
Note: This is called the preferred minimum width in CSS2.1§10.3.5 and the minimum content width in CSS2.1§<IP_ADDRESS>.
min(max-content,
max(min-content, fill-available))
. Otherwise,
equal to the max-content
measure.
Note: This is called the shrink-to-fit width in CSS2.1§10.3.5 and CSS Multi-column Layout § 3.4.
width
’ and ‘height
’| Properties: | ‘width ’, ‘min-width ’, ‘max-width ’, ‘height ’, ‘min-height ’, ‘max-height ’
|
|---|---|
| New Values: | ‘fill-available ’ | ‘max-content ’ | ‘min-content ’ | ‘fit-content ’
|
| Initial: | as defined in [CSS21] and [CSS3-FLEXBOX] |
| Applies to: | as defined in [CSS21] |
| Inherited: | as defined in [CSS21] |
| Percentages: | as defined in [CSS21] |
| Media: | as defined in [CSS21] |
| Computed value: | specified value if keyword specified, else as defined in [CSS21] |
There are four types of automatically-determined sizes in CSS (which are represented in the width and height properties by the keywords defined above):
fill-available
’
max-content
’
min-content
’
fit-content
’
repudiate-floats
’
auto
’.
Does this value work? Is it needed?
Right now all of these except ‘fill-available
’ mean
the same thing for extents. This may or may not be ideal.
If the measure is ‘auto
’, we
could have min-content extent imply a max-content measure, and vice versa.
| Properties: | ‘min-width ’, ‘min-height ’
|
|---|---|
| New Value: | ‘contain-floats ’
|
| Initial: | as defined in [CSS21] and [CSS3-FLEXBOX] |
| Applies to: | as defined in [CSS21] |
| Inherited: | as defined in [CSS21] |
| Percentages: | as defined in [CSS21] |
| Media: | as defined in [CSS21] |
| Computed value: | specified value if keyword specified, else as defined in [CSS21] |
contain-floats
’
min-content
’ except that when applied to the
extent of a block box it forces the inner extent to be large enough to
contain the margin boxes of any floats that originate inside the block
and that participate in the same block formatting context as the block's
immediate contents.
| Property: | ‘column-width ’
|
|---|---|
| New Values: | ‘min-content ’
| ‘max-content ’ |
‘fill-available ’ | ‘fit-content ’
|
| Initial: | as defined in [CSS3COL] |
| Applies to: | as defined in [CSS3COL] |
| Inherited: | as defined in [CSS3COL] |
| Percentages: | as defined in [CSS3COL] |
| Media: | as defined in [CSS3COL] |
| Computed value: | specified value if keyword specified, else as defined in [CSS3COL] |
When used as values for ‘column-width
’, the new keywords specify the
optimal column width:
min-content
’
max-content
’
fill-available
’
fit-content
’
min(max-content, max(min-content, fill-available))
.
Intrinsic sizing determines sizes based on the contents of an element, without regard for its context.
For replaced elements, the min-content and max-content sizes are equivalent and
correspond to the used size of the replaced element according to the
‘auto
’ size calculation in the corresponding
dimension. (See [CSS3-IMAGES].)
The min-content measure of an inline box is the length of the largest unbreakable sequence of inline content. The min-measure contribution of an inline box is its min-content measure, plus any inline-axis margin, border, and padding adjacent to that sequence.
The max-content measure of an inline box is the length of the largest sequence of inline content on a single line when only forced line breaks are taken. The max-measure contribution of an inline box is its max-content measure, plus any inline-axis margin, border, and padding adjacent to that sequence.
The min-content extent, max-content extent, min-extent contribution, and max-content contribution of an inline box are the distance from the head edge of the first line box to the foot edge of the last line box on which the inline appears.
The min-content measure of a block container box is the largest min-measure contribution of its in-flow or floated children.
The max-content measure of a block container box is the measure of the box after layout, if all children are sized under a max-size constraint.
If the computed measure of a block-level box is ‘min-content
’, ‘max-content
’, or a definite size, its min-measure
contribution is that size plus any inline-axis margin, border, and
padding. Otherwise, if the computed measure of the block is ‘fit-content
’, ‘auto
’, or ‘fill-available
’, its min-measure
contribution is its min-content
measure plus any inline-axis margin, border, and padding.
If the computed measure of a block-level box is ‘min-content
’, ‘max-content
’, or a definite size, its max-measure
contribution is that size plus any inline-axis margin, border, and
padding. Otherwise, if the computed measure of the block is ‘fit-content
’, ‘auto
’, or ‘fill-available
’, its max-measure
contribution is its max-content
measure plus any inline-axis margin, border, and padding.
The min-content extent and max-content extent of a block
container box is the content extent as defined (for horizontal writing
modes) in CSS2.1§10.6.3
and CSS2.1§17.5.3
for elements with ‘height: auto
’, and
analogously for vertical writing modes.
The min-extent contribution and max-extent contribution of a block-level box is the extent of the block after layout, plus any block-axis margin, border, and padding.
???
Multi-column elements are different from most in that they
grow sideways when their height is restricted. The ‘max-content
’ value should
be able to accommodate this somehow, in particular as this is how
multi-column elements work in orthogonal
flows. See also this
explanation
Extrinsic sizing determines sizes based on the context of an element, without regard for its contents.
The inner fill-available measure of a box is the larger of…
min-measure
’ if that measure is definite, or zero otherwise.
max-measure
’ if that measure is definite, or infinity otherwise.
…less the box's inline-axis margins, borders, and padding.
The fill-available extent of a box is defined analogously, but in the other dimension.
Conformance requirements are expressed with a combination of descriptive assertions and RFC 2119 terminology. The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY”, and “OPTIONAL” in the normative parts of this document are to be interpreted as described in RFC 2119. However, for readability, these words do not appear in all uppercase letters in this specification.
All of the text of this specification is normative except sections explicitly marked as non-normative, examples, and notes. [RFC2119]
Examples in this specification are introduced with the words “for
example” or are set apart from the normative text with
class="example"
, like this:
This is an example of an informative example.
Informative notes begin with the word “Note” and are set apart from
the normative text with class="note"
, like this:
Note, this is an informative note.
Conformance to CSS Intrinsic & Extrinsic Sizing Level 3 is defined for three conformance classes:
A style sheet is conformant to CSS Intrinsic & Extrinsic Sizing Level 3 if all of its statements that use syntax defined in this module are valid according to the generic CSS grammar and the individual grammars of each feature defined in this module.
A renderer is conformant to CSS Intrinsic & Extrinsic Sizing Level 3 if, in addition to interpreting the style sheet as defined by the appropriate specifications, it supports all the features defined by CSS Intrinsic & Extrinsic Sizing Level 3 by parsing them correctly and rendering the document accordingly. However, the inability of a UA to correctly render a document due to limitations of the device does not make the UA non-conformant. (For example, a UA is not required to render color on a monochrome monitor.)
An authoring tool is conformant to CSS Intrinsic & Extrinsic Sizing Level 3 if it writes style sheets that are syntactically correct according to the generic CSS grammar and the individual grammars of each feature in this module, and meet all other conformance requirements of style sheets as described in this module.
So that authors can exploit the forward-compatible parsing rules to assign fallback values, CSS renderers must treat as invalid (and ignore as appropriate) any at-rules, properties, property values, keywords, and other syntactic constructs for which they have no usable level of support. In particular, user agents must not selectively ignore unsupported component values and honor supported values in a single multi-value property declaration: if any value is considered invalid (as unsupported values must be), CSS requires that the entire declaration be ignored.
To avoid clashes with future CSS features, the CSS2.1 specification reserves a prefixed syntax for proprietary and experimental extensions to CSS.
Prior to a specification reaching the Candidate Recommendation stage in the W3C process, all implementations of a CSS feature are considered experimental. The CSS Working Group recommends that implementations use a vendor-prefixed syntax for such features, including those in W3C Working Drafts. This avoids incompatibilities with future changes in the draft.
Once a specification reaches the Candidate Recommendation stage, non-experimental implementations are possible, and implementors should release an unprefixed implementation of any CR-level feature they can demonstrate to be correctly implemented according to spec.
To establish and maintain the interoperability of CSS across implementations, the CSS Working Group requests that non-experimental CSS renderers submit an implementation report (and, if necessary, the testcases used for that implementation report) to the W3C before releasing an unprefixed implementation of any CSS features. Testcases submitted to W3C are subject to review and correction by the CSS Working Group.
Further information on submitting testcases and implementation reports can be found from on the CSS Working Group's website at http://www.w3.org/Style/CSS/Test/. Questions should be directed to the<EMAIL_ADDRESS>mailing list.
For this specification to be advanced to Proposed Recommendation, there must be at least two independent, interoperable implementations of each feature. Each feature may be implemented by a different set of products, there is no requirement that all features be implemented by a single product. For the purposes of this criterion, we define the following terms:
The specification will remain Candidate Recommendation for at least six months.
Special thanks go to Aaron Gustafson, L. David Baron for their contributions to this module.
contain-floats
’, 3.2.
fill-available
’, 3.1.
fit-content
’,
3.1.
max-content
’,
3.1.
min-content
’,
3.1.
repudiate-floats
’, 3.1.
| Property | Values | Initial | Applies to | Inh. | Percentages | Media |
|---|---|---|---|---|---|---|
| as defined in [CSS21] and [CSS3-FLEXBOX] | as defined in [CSS21] | as defined in [CSS21] | as defined in [CSS21] | as defined in [CSS21] | ||
| as defined in [CSS21] and [CSS3-FLEXBOX] | as defined in [CSS21] | as defined in [CSS21] | as defined in [CSS21] | as defined in [CSS21] | ||
| as defined in [CSS3COL] | as defined in [CSS3COL] | as defined in [CSS3COL] | as defined in [CSS3COL] | as defined in [CSS3COL] |


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Makes 24 biscuits
Bring a touch of the Middle East to your biscuits with rosewater and fennel.
For this recipe you will need a piping bag fitted with a plain nozzle and a food processor.
For the biscuits, put the flour, rosewater, ground fennel, fennel seeds, and vanilla paste in a food processor. Give a quick pulse. Add the butter and pulse until the mixture resembles breadcrumbs.
Add the sugars and the egg and blend to a dough. Tip the dough out, knead lightly, cover in cling film and refrigerate for 10 minutes.
Preheat the oven to 180C/160C Fan/Gas 4. Line a baking tray with baking paper. If you don’t have a teardrop cutter, cut out a 9cm/3½in-tall tear-drop shape from card to use as a template.
Lightly flour a work surface and roll out the dough to 5mm/¼in thickness. Cut out 24 biscuits using the cutter or template. Use a skewer to cut a small circle from the narrow part of the teardrop (this will be used to thread ribbon through).
Place the biscuits on the prepared tray and bake for 15 minutes.
Meanwhile, make the icing. Whisk the egg whites in a large bowl until frothy. Spoon by spoon, add the icing sugar until the mixture is quite thick. Mix in the lemon juice and glycerine.
Divide one-third of the icing between two bowls. Colour one of the bowls with a drop of the red food colouring and the other with a drop of the purple.
 Swirl in some of the pink and purple icings. Dip one side of the biscuits into the icing one by one and shake to even out. Leave them to cool on a wire rack.
In a separate bag, place the remaining white icing and pipe henna design on top of the pink swirled icing. Leave to dry.


Dashboard
Home
Vehicle
Insurance
Pollution
Traffic Fine
(current)
UPDATE VEHICLE DETAILS
RC Number
vehicle Number
vehicle chassis number
vehicle engine number
owner name
owner father name
owner address
owner email id
vehicle company name
vehicle type
vehicle type
Submit


THE PELOPONNESE SOUTHERN GREECE
Peloponnese - also known as the Peloponese, Pelopponese, Peloponnesus & Peloponnesos - a peninsula separated from mainland Greece by the Corinth Canal
The Peloponnese peninsula has for many year been considered an island due to it being separated by the Corinth Canal and is made up of 6 prefectures, namely Corinthia, Argolida, Arcadia, Elia, Achaia, Lakonia and Messinia.
The countryside is diverse with a high mountain range over 2000m running down the middle of the peninsula, long sandy beaches and ragged coastlines with many coves and small natural harbours. The Peloponnese has something to offer to everyone, is perfect for beach holidays with a touch of culture.
Visit the Arcadian mountain villages where the chiefs of the resistance during the Turkish occupation hid out, the Corinth Canal, Monemvasia (Greece's Rock of Gibraltar), the stone castle-like houses of Mani, the Cave of Lakes and the famous Diros Caves. Ski during the Winter months on the mountains of Mainalo and at Kalavrita and visit Mts Parnona and Taygetos at any time of the year and walk among the amazing flora and fauna.
If you are interested in history then visit the sites of Ancient Olympia, home of the Olympic Games, Ancient Nemea (the Nemean Games), Ancient Corinth, Acrocorinth, Byzantine Mystra, Sparta and many more.
With a great combination of history, beaches, activities, breathtaking scenery and splendid nature the Peloponnese is a superb choice for your holidays in Greece.
For further information on Nafplion please click here
If you would like to read about the Argolida and places to visit please click here


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Anytime Is Train Time
Choo choo. Choo choo.
Current Train Schedule
Train Name
Destination
Frequency (min)
Next Arrival
Minutes Away
Add Train
Train Name
Destination
First Train Time (HH:mm - military time)
Frequency (min)
Go somewhere


Line
Demonstrates the use of a static line annotation, an updating annotation and animated annotations.
To seed the random number generator, used to generate the data in some of the tests, a query string can be added to the URL, like this:
?seed=yourseed
Demonstrates the use of a static line annotation, an updating annotation and animated annotations.
Demonstrates the Cartesian Chart component.
Demonstrates the Legend component.
Demonstrates the Linear Time Series component.
Demonstrates the Sparkline component.
Tests decorate by performing a simple specialisation on each series type. It also marks the 'origin' of the container which is the parent for each datapoint.
Demonstrates the bar series and line series with an ordinal axis.
A slightly crude test that the series correctly implement the data-join pattern. The series below has points added, removed and updated. A visual inspection of the SVG should show no un-expected elements.
Demonstrates the Bollinger Bands on a static OHLC chart.
Demonstrates the EMA component on a static OHLC chart.
Demonstrates the MACD component.
Demonstrates the moving average component on a static OHLC chart.
Demonstrates the RSI component.
Demonstrates the Stochastic Oscillator component.
Demonstrates the D3FC date time axis with the skip weekend discontinuity provider.
Demonstrates the Area and Line interpolation. Tension only affects the bundle, cardinal, cardinal-open and cardinal-closed interpolations.
Demonstrates the Area, Line and Point components.
Demonstrates the axis component.
A column series and a pair of bar series, both rendering the same data with negative values. The top bar has a y0 value set to position it one-third of the way up the chart.
Demonstrates the component's transition support.
A simple, static candlestick chart.
A basic comparison chart.
Demonstrates the cycle component.
Demonstrates the Area, Line and Point components.
A simple, static OHLC chart.
Data is loaded from a CSV file.
Demonstrates decoration and axis transitions
Demonstrates basic crosshair functionality: snapping, padding, labels and decoration.
Demonstrates crosshair freezing, events and how they can be controlled.
Demonstrates basic fan functionality: snapping, events and decoration.
Demonstrates basic measure functionality: snapping, padding, labels and decoration.
Demonstrates measure events and how they can be controlled.
Demonstrates the use of the band annotation.
Demonstrates the Layout component, applies the CSS flexbox layout to SVG in order to simplify the task of constructing charts.
Constructs a layout programmatically.


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Bucket name is required.
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Time is required.
Task assign users is required.
Prepare Invoice for Toshiba
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{{blocks.description}}
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{{friendObj3.description}}


Welcome to FEniCS Mechanics’s documentation!¶
Indices and tables¶
| [Cha99] | Peter Chadwick. Continuum mechanics: concise theory and problems. Dover Publications, 1999. |
| [GM96] | Sanjay Govindjee and Paul A. Mihalic. Computational methods for inverse finite elastostatics. Computer Methods in Applied Mechanics and Engineering, 136(1-2):47–57, 1996. doi:10.1016/0045-7825(96)01045-6. |
| [GCM95] | Julius M. Guccione, Kevin D. Costa, and Andrew D. Mcculloch. Finite element stress analysis of left ventricular mechanics in the beating dog heart. Journal of Biomechanics, 28(10):1167–1177, 1995. doi:10.1016/0021-9290(94)00174-3. |
| [Hug07] | Thomas J. R. Hughes. The finite element method: linear static and dynamic finite element analysis. Dover publication, Inc, 2007. |
| [LGA+15] | Sander Land, Viatcheslav Gurev, Sander Arens, Christoph M. Augustin, Lukas Baron, Robert Blake, Chris Bradley, Sebastian Castro, Andrew Crozier, Marco Favino, and et al. Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, 471(2184):20150641, Aug 2015. doi:10.1098/rspa.2015.0641. |


Personal Profile
Address: Sofia, Bulgaria
Nationality: Bulgarian
Date of birth: 03.01.1984
Gender: male
Address: Sofia, Bulgaria
Nationality: Bulgarian
Date of birth: 03.01.1984
Gender: male
Aug 2012 - Aug 2015
*Client's technical specification summary
*Transformer accessories
*Transformer prime cost
*Transformer technical specification
*Outline drawing & packing list
*Technical meetings with the client
Apr 2010 - Aug 2012
*Marketing
*B2B, B2C and Technical meetings
*Contract
*Solar equipment import
*Supervising of Delivery at site
*After sales service
*Weekly/Monthly Reports&Estimation
Jan 2009 - Jan 2010
*Project managment and site supervision
*Generator manufactoring and erection supervision
*Technical meetings with the client
*Reporting of all activities
*C (basic)
*C# (basic)
*javascript (basic)
*HTML (basic)
*CSS (basic)
Electrical engineer
Master's degree
English(C1)
Cat. C
*Snowboard
*Cycling
*Tourism


This section of the application shows interest via a user's tagged content and the user's network of friends tagged content. This could be expanded to show users with common interests via tags.
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| Click on a tag to display the feed. |


ANASTASIA (1997) A Film Review by Ted Prigge Copyright 1998 Ted Prigge
Directors: Don Bluth and Gary Goldman Writers: Susan Gauthier, Bruce Graham, Bob Tzudiker, Noni White, and Eric Tuchman (based on the screenplay Arthur Laurents which is in turn based on the play by Marcel Maurette) Starring: Meg Ryan, John Cusack, Kelsey Grammar, Christopher Lloyd, Hank Azaria, Angela Lansbury, Bernadette Peters, Kirsten Dunst, Liz Callaway, Lacey Chabert, Jim Cummings, Jonathan Dokuchitz
I can't even remember the last animated feature that had big promotion that wasn't a Disney film. Maybe it was "An American Tail" (or it's ill-fated sequel). Nevertheless, Disney has been the king of animated features, for better or worse. And while it's not a great film, it is a breath of fresh air from the Disney trend, which has been getting kinda lackluster as of late, and proof that Disney isn't the only company who can make a really good enjoyable film.
Of course, Twentith Centry Fox, who advertised the film over a year before its release, have pretty much given themselves a harder job than Disney does. Instead of adapting something that's relatively fantasy-like anyway (stories about mermaids, genies, and gods and godesses), the filmmakers have chosen to adapt a story based on real life, that of the disappearance of the daughter to Russian Czar Nicolas and his wife Alexandra, who was overthrown by the people, led by Lenin. It's even been made into a 50s film, which served as Ingrid Bergman's comeback film after a long drought of nothingness.
Of course, they needed to make it universal to kids and adults, so decided to make the creepy Russian personage of Rasputin into the film's chief villain (the film exploits the old curse put on the family by Rasputin, who is out for vengeance after Nicolas screwed him over). When the palace falls due to the revolution, the family flees, but accidentally leave behind little Anastasia (voiced by Kirstun Dunst; sung by "Party of Five"'s Lacy Chabert), who conks her head, and receives some nasty amnesia.
After a brief introduction to all of this, the story follows a woman named Anya who is about 18 years old (voiced by Meg Ryan; sung by Liz Callaway), and we see her trying to figure out what to do with her life now that she's kicked out of the orphanage she's lived in what seems to her all her life. We're also introduced to two con artists in St. Petersburg, Dimitri (voiced by John Cuasack; sung by Jonathan Dokuchitz) and Vladmir (voiced and sung by Kelsey Grammar), who have heard that there is a possibility that Anastasia still lives, and her grandmother, an Empress (Angela Lansbury) who fleed to Paris before the revolution, is looking for her. They begin holding auditions to find a girl who looks like Anastasia, and who is willing to be trained to act like her so they can receive an award. Anya wanders in, and after a bit of conversation, agrees to go overseas with them to maybe discover her past. Of course, Anya is really Anastasia, and it'll just take some time for her employers to figure it out.
All the while, Rasputin (voiced by Christopher Lloyd; sung by Jim Cummings) is a living corpse, having sold his soul to the devil for the ability to exact revenge on the Russian family, and is constantly falling apart (it was funny the first two times...). When he discovers that Anastasia is still alive, and begins to attack the trio on their way to Paris.
Although a cartoon, this film is actually a really entertaining film for everyone. Sure, I was a little appalled at some of the historical inaccuracies, but, like I did with Disney's "Hercules," I soon got over that and just tried to enjoy the film. The film has the same kind of magic of a Disney film, filled with lots of very good music (I can probably hum two or three songs from this; from "Hercules," none), and some definite magical moments, like a sequence where Anya enters the run-down palace of her youth and all the ghosts from her past burst out of the windows and re-enact a dance from earlier on. And there's even some very suspenseful moments, most notably an excellently crafted runaway train sequence.
The animation is more mature than Disney's, with very human facial expressions from many of the characters. And the writing and voices are both excellent, with Meg Ryan and John Cusack seen as having great chemistry in several of the scenes. Throughout the first half, they're constantly bickering, and it actually sounds realistic. I was very shocked and impressed by all of this, and also how they could also work well with more cartoony characters, like a bat named Bartok (voiced by the great cartoon voice actor, and all-around great actor in general, Hank Azaria), who serves as the main comic relief.
If there's anything wrong with it, it's that it's too brief. I know it's an animated feature, and most of them have to adhere to around 90 minutes or less, but maybe more time and less editing would have fleshed out some more of the supporting characters. Rasputin is only shown a couple times, and although we fully understand his intentions, sometimes his appearances are so far apart from eachother that you almost forget he's there. And sadly, Vladmir is in much of the first act, but seems to have disappeared during the second, who falls in love with the Empress's friend, Sophie (voiced by Broadway great Bernadette Peters).
Nevertheless, "Anastasia" has a lot of energy, and is evenly paced, which is very impressive as a lot of animated films are choppy and way too episodic for their own good. You also have to like how it doesn't insult our intelligence, and gives us a romance between Anya and Dimitri that is based on that of a Howard Hawks/Frank Capra film, which is more than helpful in giving it a lighthearted feel. This is not high drama, and thank goodness for that. Save the high drama for the live action, and reserve the lightheartedness for the cartoons.
MY RATING (out of 4): ***
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--- layout: pageNoEdit permalink: /software/guides/map-add-ins-docs/ title: Geotab Map Add-In Overview ---
Map Add-ins are integrations embedded within the Map or Trips History pages of the MyGeotab platform. Once installed, a panel will appear on the right-side of the Map or Trips History page, containing the UI of the Map Add-in. These Add-ins can read from and operate on the map, as well as access the MyGeotab APIs. This document outlines the installation process and APIs available for Map Add-In development.
Below is an example of a Map Add-In installed within the Map page of MyGeotab. When a user clicks a vehicle on the map, this integration displays the relevant data for that vehicle.
Map Add-ins are installed by uploading an Add-in Configuration file into MyGeotab. Click on Administration -> System... -> System Settings -> Add-Ins -> New Add-In, and upload the Add-in Configuration file. The following is an example of a Map Add-in's Configuration file:
{
"name": "Tooltip",
"supportEmail"<EMAIL_ADDRESS>"version": "1.0",
"items": [{
"page": "map",
"title": "Tooltips",
"noView": false,
"mapScript": {
"src": "addin.js",
"style": "addin.css",
"url": "addin.html"
}
}]
}
The main properties of the Configuration file are as follows:
You can find example Map Add-ins here.
In the MyGeotab portal, Map Add-ins are loaded when the user visits the MyGeotab page containing the Add-in. For example, the Add-in in Figure #1 loads when the user visits the Map page.
Map Add-ins are loaded inside an iframe with its sandbox attribute set to "allow-scripts". This allows the Map Add-in to run custom scripts, such as the JavaScript file from the "src" parameter in the Add-in Configuration file.
Important Notes:
Do not access elements or APIs outside the iframe panel; they can be changed without notice in future versions of MyGeotab, which might break your Add-In. Use only the services and methods documented here and on the API Reference page when interacting with a page outside the iframe.
The iframe panel has a fixed width of 450 pixels; the width shrinks to accomodate screens with widths below 600 pixels. The panel height is responsive, always reaching the bottom of the page.
The figures below display how the panel size changes between a desktop screen and a mobile phone screen.
If multiple Map Add-ins are installed, each is accessible by selecting the appropriate tab at the top of the panel. In Figure #4, there are 3 add-ins installed on the page, denoted by the 3 tabs at the top of the panel. The add-ins are titled "Live Trip History", "Tooltip", and "Vehicle Info".
The starting point for the Map Add-in JavaScript code is the function that is added as a method to "window.geotab.addin". For example:
geotab.addin.request = (elt, service) => {
// code for Map Add-In
}
This function has two arguments:
The Add-in function will be called when a user visits the Add-in by clicking on its tab. After that, the "focus" and "blur" events will be fired when the user opens or leaves the Add-in tab, respectively (See Page Service).
Service for getting/setting page state and moving between MyGeotab page
| Service methods | Description |
|---|---|
| set (key: string, value: string): Promise<boolean> | Sets new key/value pair to page state |
| get (): Promise<object> | Gets page state |
| go (page: string, state?: object): Promise<boolean> | Changes current page |
| hasAccessToPage (page: string): Promise<boolean> | Checks whether current user has access to MyGeotab page |
| getFilterState (): Promise<IGroupFilterId[]> | Gets current company filter state |
| attach (eventName: string, eventHandler: (serviceData: any) => void): void | Attaches event handler to service |
| detach (eventName: string, eventHandler?: (serviceData: any) => void): void | Detaches event handler to service |
| Service property name | Type | Description |
|---|---|---|
| active | boolean | Current map add-in state. It's true if current add-in is focused |
| Event name | Event object | Description |
|---|---|---|
| focus | Empty object | Event is fired when user focuses on current map add-in |
| blur | Empty object | Event is fired when user focuses on another map add-in |
| stateChange |
state: (object) - Updated page state
|
Event is fired when the state of the page is changed |
| filterChange |
groups: (IGroupFilterId[]) - Updated array of filter groups
|
Event is fired when the company filter groups is changed |
Group id object that is selected by user in company filter
| Property | Type |
|---|---|
| id | string |
Service to request information stored in browser LocalStorage
| Service methods | Description |
|---|---|
| set (key: string, value: string): Promise<boolean> | Sets key-value pairs to browser localStorage with key |
| remove (key: string): Promise<boolean> | Removes value from browser localStorage by key |
| get (key: string): Promise<string> | Gets value from browser localStorage by key |
Service for requesting data from Geotab server
| Service methods | Description |
|---|---|
| call (method: string, params: object): Promise<any[]> | Sends single request to Geotab server |
| multiCall (calls: TApiCall[]): Promise<any[][]> | Sends multiple requests to Geotab server in one batch |
| getSession (): Promise<ISessionInfo> | Gets current user session information |
Current user session information
| Property | Type |
|---|---|
| database | string |
| userName | string |
| sessionId | string |
| domain | string |
[string, object]
Tuple for calling server methods where first element is method name and second is an object with parameters.
Service for catching events that happens when user interact with different entities on the map
| Service methods | Description |
|---|---|
| attach (eventName: string, eventHandler: (serviceData: any) => void): void | Attaches event handler to service |
| detach (eventName: string, eventHandler?: (serviceData: any) => void): void | Detaches event handler to service |
| Event name | Event object | Description |
|---|---|---|
| move |
data: (ICoordinate) - Position of the pointer on the map
|
Event is fired when user moves pointer over the map |
| over |
data: (TEventData) - Main information about entity
|
Event is fired when user moves pointer over an object on the map |
| out |
data: (TEventData) - Main information about entity
|
Event is fired when user moves pointer out of an object on the map |
| click |
data: (TEventData) - Main information about entity
|
Event is fired when user clicks on an object on the map |
| change |
data: (TEntityEventData) - Main information about entity and its state
|
Event is fired when status of the entity on the map is changed |
Event object that is sent to add-in when user interacts with zone
| Property | Type |
|---|---|
| type | "zone" |
| entity | IZoneEventData |
Zone object that is sent to add-in when user interacts with zone
| Property | Type |
|---|---|
| id | string |
Event object that is sent to add-in when user interacts with device
| Property | Type |
|---|---|
| type | "device" |
| entity | IDeviceEventData |
Device object that is sent to add-in when user interacts with device
| Property | Type |
|---|---|
| id | string |
Event object that is sent to add-in when user interacts with route
| Property | Type |
|---|---|
| type | "route" |
| entity | IRouteEventData |
Route object that is sent to add-in when user interacts with route
| Property | Type |
|---|---|
| id | string |
Event object that is sent to add-in when user interacts with trip
| Property | Type |
|---|---|
| type | "trip" |
| entity | ITripEventData |
Trip object that is sent to add-in when user interacts with trip
| Property | Type | Description |
|---|---|---|
| id | string | Id of the trip |
| device | { id: string; } | Device id object that drove this trip |
| dateTime | string | Date and time of the trip point |
Event object that is sent to add-in when user interacts with device exceptions
| Property | Type |
|---|---|
| type | "exceptions" |
| entity | IExceptionsEventData |
Exceptions object that is sent to add-in when user interacts with exception icon on the map
| Property | Type |
|---|---|
| exceptions | IExceptionEventData[] |
Exception object that is sent to add-in when user interacts with exception icon on the map
| Property | Type | Description |
|---|---|---|
| to | string | Date and time when this exception ends |
| from | string | Date and time when this exception starts |
| id | string | Id of the exception |
| rule | { id: string; } | Rule id object of this exception |
| device | { id: string; } | Device id object where this exception happen |
Event object that is sent to add-in when vehicle location on the map changes
| Property | Type |
|---|---|
| type | "device" |
| entity | IDeviceEventData |
| visible | boolean |
| location | ILocation |
IZoneEvent | IDeviceEvent | IRouteEvent | ITripEvent | IExceptionsEvent
Event object that is sent to add-in when user interacts with different types of entitis on the map
IDeviceChangeEvent
Event object that is sent to add-in when something is happened with different types of entitis on the map
Service for manipulating viewport of the map and getting updates about changed map viewport
| Service methods | Description |
|---|---|
| setBounds (bounds: IMapBounds): Promise<boolean> | Sets map bounds |
| getBounds (): Promise<IMapBounds> | Gets current map bounds |
| setZoom (zoom: number): Promise<boolean> | Sets map zoom level |
| getZoom (): Promise<number> | Gets current map zoom level |
| attach (eventName: string, eventHandler: (serviceData: any) => void): void | Attaches event handler to service |
| detach (eventName: string, eventHandler?: (serviceData: any) => void): void | Detaches event handler to service |
| Event name | Event object | Description |
|---|---|---|
| change | Empty object | Event is fired when viewport of map is changed. This event fires each time when use drags or zooms map |
| changed |
viewport: (IChangedViewport) - Current map zoom and bounds
|
Event is fired when user finished dragging and zooming map |
Current map viewport
| Property | Type | Description |
|---|---|---|
| zoom | number | Current map zoom |
| bounds | IMapBounds | Current map bounds |
Object that represents a map bounding box.
| Property | Type | Description |
|---|---|---|
| sw | IMapLatLng | The southwest corner of the bounding box. |
| ne | IMapLatLng | The northeast corner of the bounding box. |
An object that represents longitude and latitude
| Property | Type | Description |
|---|---|---|
| lat | number | Latitude, measured in degrees. |
| lng | number | Longitude, measured in degrees. |
Service for showing additional information in entities tooltip
| Service methods | Description |
|---|---|
| showAt (position: TPosition, pattern: ITooltip, sequence: number): void | Shows custom tooltip at certain position on the map |
| show (pattern: ITooltip, sequence: number): void | Adds additional information to already shown tooltip on the map |
| hide (): void | Hids additional information from already shown and custom tooltip |
| setConfig (config: ITooltipConfig): Promise<boolean> | Sets configuration for changing current application tooltip |
| getConfig (): Promise<ITooltipConfig> | Sets configuration for current application tooltip |
Custom map add-in tooltip options. It can be either a text information or an image
| Property | Type | Description |
|---|---|---|
| icon | string | Icon image for custom tooltip part. |
| image | ITooltipImage | Image options that should be shown instead of text in tooltip |
| main | string | Main tooltip text |
| secondary | string[] | Secondary information that will be written with smaller font |
| additional | string[] | Some additional tooltip information |
Custom tooltip image options. It can be either link to external image, base64 image or image stored in ArrayBuffer
| Property | Type | Description |
|---|---|---|
| url | string | Either link to external image or serialized base64 image or stringified SVG image |
| buffer | ArrayBuffer | Image stored in ArrayBuffer |
| width | number | Width of the image |
| height | number | Height of the image |
Application tooltip config. Based on this config application desides what parts of tooltip should be rendered
| Property | Type | Description |
|---|---|---|
| device | IDeviceTooltipConfig | Changes information in devices tooltip |
Device tooltip config to control amount of information that is shown in tooltip.
| Property | Type | Description |
|---|---|---|
| state | boolean | Shows/hides current device state in tooltip |
| groups | boolean | Shows/hides device groups information in tooltip |
Service for showing a custom action list instead of the existing one, or adding custom buttons to existing action lists.
| Service methods | Description |
|---|---|
| show (position: TPosition, title: string, items: IMenuActionItem[]): void | Shows custom action menu on certain position |
| attachMenu (menuName: TMenuType, handler: TMenuHandler): void | Subscribes on event when one of the MyGeotab map menus is shown to add new action button |
| detachMenu (menuName: TMenuType, handler?: TMenuHandler): void | Unsubscribes on event when one of the MyGeotab map menus is shown |
| attach (eventName: string, eventHandler: (serviceData: any) => void): void | Attaches event handler to service |
| detach (eventName: string, eventHandler?: (serviceData: any) => void): void | Detaches event handler to service |
| Event name | Event object | Description |
|---|---|---|
| CustomEvent |
data: (object) - Data from `IAddinActionItem.data` for the current button
|
Event is fired when user clicks on custom button in action list. Event name is defined by "clickEvent" property in custom button object. |
Custom action button options
| Property | Type | Description |
|---|---|---|
| title | string | Button title |
| icon | string | Button icon image |
| url | string | URL to external page. If this property is used than button will be an anchor element |
| clickEvent | string | Name of the event that will be fired when user clicks on this button |
| zIndex | number | Number that defined position of the custom action button in menu |
| data | object | Custom data that will be send with `clickEvent` when user clicks on this button |
Data that is passed to add-in when all types of map action menus are about to be shown
| Property | Type |
|---|---|
| x | number |
| y | number |
| menuName | string |
| location | ILocation |
Data that is passed to add-in when map action menu is about to be shown
Data that is passed to add-in when zone action menu is about to be shown
| Property | Type |
|---|---|
| zone | { id: string; } |
Data that is passed to add-in when route action menu is about to be shown
| Property | Type |
|---|---|
| route | { id: string; } |
Data that is passed to add-in when location marker action menu is about to be shown
| Property | Type |
|---|---|
| title | string |
Data that is passed to add-in when device action menu is about to be shown
| Property | Type |
|---|---|
| device | { id: string; } |
Data that is passed to add-in when trip action menu is about to be shown
| Property | Type |
|---|---|
| dateTime | string |
| device | { id: string; } |
| trip | ITripData |
Trip data that is passed to add-in when trip action menu is about to be shown
| Property | Type |
|---|---|
| start | string |
| stop | string |
"zone" | "map" | "device" | "route" | "marker" | "trip"
Types of menus where custom action buttons can be added
(menuName: string, data: TMenuEventData) => IMenuActionItem[] | Promise<IMenuActionItem[]>
Function that will be called when certain action menu is about to be opened
IMapMenuEventData | IZoneMenuEventData | IRouteMenuEventData | IMarkerMenuEventData | IDeviceMenuEventData | ITripMenuEventData
Data that is passed to add-in based on type of menu that is shown
Service for drawing custom shapes on the map
| Service methods | Description |
|---|---|
| path (path: IPathSeg[], zIndex: number): ICanvasElement<ICanvasPathAttributes> | Draws SVG path element on the map |
| rect (coords: TPosition, width: number, height: number, radius: number, zIndex: number): ICanvasElement<ICanvasRectAttributes> | Draws SVG rect element on the map |
| circle (coords: TPosition, radius: number, zIndex: number): ICanvasElement<ICanvasCircleAttributes> | Draws SVG circle element on the map |
| text (coords: TPosition, text: string, zIndex: number): ICanvasElement<ICanvasTextAttributes> | Draws SVG text element on the map |
| marker (coords: TPosition, width: number, height: number, source: TMarkerSource, zIndex: number): ICanvasElement<ICanvasMarkerAttributes> | Draws custom image element on the map |
| clear (): void | Clears all drawn elements on the map |
Segment of the path element that will be added in `d` attribute
| Property | Type | Description |
|---|---|---|
| type | string | Type of the segment. Supported types `M`, `m`, `L`, `l`, `Z`, `C`, `c`, `S`, `s` |
| points | TPathSegPoint[] | Locations or coordinates that should be used in current segment |
New map element object
| Method | Description |
|---|---|
| change (attrs: T): ICanvasElement<T> | Changes style attributes of the current map element |
| remove (): void | Removes current map element |
| isRemoved (): boolean | Returns true if element was removed |
| attach (event: TCanvasElementEvent, handler: (data: ICoordinate) => void): ICanvasElement<T> | Attaches event handler to current element event |
| detach (event: TCanvasElementEvent, handler?: (data: ICoordinate) => void): ICanvasElement<T> | Detaches event handler from current element event |
Style properties that can be changed for every custom element
| Property | Type | Description |
|---|---|---|
| fill | string | Background color of the element |
| stroke | string | Border color of the element |
| stroke-width | number | Border width of the element |
| fill-opacity | number | Opacity of the element |
| font-size | number | Text element font size |
| font-weight | number | Text element font weight |
Attribute of rect that can be changed for every custom element
| Property | Type | Description |
|---|---|---|
| height | number | Height in pixels of the element |
| width | number | Width in pixels of the element |
| rx | number | Radius in pixels x-axios of the element |
| ry | number | Radius in pixels y-axios of the element |
| coords | TPosition | Position of the element |
Text element attributes that can be changed for every custom text element
| Property | Type | Description |
|---|---|---|
| dx | number | Offset in pixels x-axios of the element |
| dy | number | Offset in pixels y-axios of the element |
| text | string | Text of the element |
| coords | TPosition | Position of the element |
Attribute of circle that can be changed for every custom element
| Property | Type | Description |
|---|---|---|
| r | number | Radius in pixels of the element |
| coords | TPosition | Position of the element |
Attribute of path that can be changed for every custom element
| Property | Type | Description |
|---|---|---|
| path | IPathSeg[] | Path of the element |
Attribute of marker that can be changed for every custom element
| Property | Type | Description |
|---|---|---|
| height | number | Height in pixels of the element |
| width | number | Width in pixels of the element |
| x | number | Position of the element |
| y | number | Position of the element |
| dx | number | Offset in pixels x-axios of the element |
| dy | number | Offset in pixels y-axios of the element |
| coords | TPosition | Position of the element |
| href | string | Image href of the element |
| buffer | ArrayBuffer | Image ArrayBuffer of the element |
ICanvasRectAttributes | ICanvasTextAttributes | ICanvasCircleAttributes | ICanvasPathAttributes | ICanvasMarkerAttributes
"click" | "over" | "out"
Supported custom map element event types
string | ArrayBuffer
Marker can be presented as a encoded SVG or base64 string or URL to third party resource or binary array in ArrayBuffer
| Property | Type |
|---|---|
| lat | number |
| lng | number |
| Property | Type |
|---|---|
| x | number |
| y | number |
Here are some examples and type definition files that can help you understand how to work with Map Add-ins. Download them, unzip the files, then follow the instructions in the ReadMe document.


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The goal of 'HARtools' is to provide a simple set of functions
to read/parse, write and visualise HTTP Archive ('HAR') files in R.
| Version: |
0.0.5 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
assertthat, magrittr, jsonlite, htmlwidgets, htmltools |
| Suggests: |
testthat, covr, httr, shiny, knitr, rmarkdown |
| Published: |
2016-11-09 |
| Author: |
John Harrison [aut, cre] (R package HARtools),
Michael Mrowetz [aut, cph] (PerfCascade library,
https://micmro.github.io/PerfCascade/) |
| Maintainer: |
John Harrison <johndharrison0 at gmail.com> |
| BugReports: |
https://github.com/johndharrison/HARtools/issues |
| License: |
GPL-3 |
| URL: |
https://johndharrison.github.io/HARtools/index.html |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
HARtools results |


Please enter Valid IP Address
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Please enter valid number.
Please enter valid integer.


Language: English|Português
© @copyrights.date@ ANDRÉ PIRES ALL THE RIGHTS RESERVED Version: @project.version@


Class CrossViewDescriptor
The base class for matrix element descriptors such as CrossViewHeaderDescriptor and CrossViewCellDescriptor.
Implements
Inherited Members
Namespace: FastReport.CrossView
Assembly: FastReport.OpenSource.dll
Syntax
public class CrossViewDescriptor : IFRSerializable
Properties
Expression
Gets or sets an expression which value will be used to fill the matrix.
Declaration
public string Expression { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Remarks
Expression may be any valid expression. Usually it's a data column:
[DataSource.Column]
.
TemplateCell
Gets or sets the template cell bound to this descriptor.
Declaration
public TableCell TemplateCell { get; set; }
Property Value
| Type | Description |
|---|---|
| TableCell |
Remarks
Using this property, you may access the matrix cell which is bound to this descriptor. It may be useful to change the cell's appearance.
note
Before using this property, you must initialize the matrix descriptors by calling the BuildTemplate() method.
Examples
CrossViewObject crossView;
// change the fill color of the first matrix cell
crossView.Data.Cells[0].TemplateCell.Fill = new SolidFill(Color.Red);
TemplateColumn
Gets or sets the template column bound to this descriptor.
Declaration
public TableColumn TemplateColumn { get; set; }
Property Value
| Type | Description |
|---|---|
| TableColumn |
Remarks
This property is for internal use; usually you don't need to use it.
TemplateRow
Gets or sets the template row bound to this descriptor.
Declaration
public TableRow TemplateRow { get; set; }
Property Value
| Type | Description |
|---|---|
| TableRow |
Remarks
This property is for internal use; usually you don't need to use it.
Methods
Assign(CrossViewDescriptor)
Assigns values from another descriptor.
Declaration
public virtual void Assign(CrossViewDescriptor source)
Parameters
| Type | Name | Description |
|---|---|---|
| CrossViewDescriptor | source | Descriptor to assign values from. |
Deserialize(FRReader)
Deserializes the object.
Declaration
public void Deserialize(FRReader reader)
Parameters
| Type | Name | Description |
|---|---|---|
| FRReader | reader | Reader object. |
Serialize(FRWriter)
Serializes the object.
Declaration
public virtual void Serialize(FRWriter writer)
Parameters
| Type | Name | Description |
|---|---|---|
| FRWriter | writer | Writer object. |


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References
| summary | ||
| public |
C Archon Archon provides functionality for Arbitrator and Arbitrable Ethereum smart contracts as defined in ERC 792 and _insert_evidence_standard_ERC_. |
standards
| summary | ||
| public |
Provides interaction with standard Arbitrable contracts |
|
| public |
Provides interaction with standard Arbitrable contracts |
|
| public |
|
utils
| summary | ||
| public |
EventListener is used to watch events on the blockchain for a set of contracts. |
|
| public |
F multihashFile(file: object | string, multicode: number, customHashFn: fn): string Create a base58 multihash from a file. |
|
| public |
F validMultihash(multihashHex: string, file: object | string, customHashFn: fn): bool Validate a multihash. |
|
| public |
F async validateFileFromURI(fileURI: string, options: object): object Validate a file. |
|
| public |
F isRequired(name: string) Used as the default parameter for an arguemnt that is considered required. |
|
| public |
F getHttpUri(uri: *): {"uri": *, "preValidated": *} |
|
| public |
F getURIProtocol(uri: *): * |
|
| public |
F getURISuffix(uri: *) |


{% extends "base.html" %} {% block content %}
The Nullarbor Plain is a vast stretch of arid land with little to no trees. It spans the southern coast of Australia from Norseman, WA to Ceduna, SA. It is considered a quintessential “Australian bucket list” item and is a journey worth attempting by vehicle.
A successful trip across the Nullarbor depends not only on the fortitude and perseverance of the individual, but also on the vehicle in which the journey is undertaken. Will you pick the iconic Ford Bronco, or the rugged Jeep Wrangler? Will you be economical and choose the Subaru Outback, or environmentally friendly and select the Tesla Model S? Or if all else fails, will you pick the quintessential Australian car for the quintessential Australian road trip, the Toyota Land Cruiser?
You can read more about the Nullarbor on Wikipedia.
Background image via Peakpx
Image via Pexel
Referencing not required per Peakpx and Pexel terms of service


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Jacqueline Jossa's hubby Dan Osborne confesses I'm A Celeb star is 'dramatic and screams a lot'
The dad-of-three didn't mind pointing out his love got "emotional", "dramatic" and "screamed a lot"
by Irishmirror.ieDan Osborne said his wife Jacqueline Jossa was "emotional, dramatic and screams a lot" on I'm A Celeb.
The former TOWIE star, 28, has been documenting his wife's I'm A Celeb journeys on his Instagram stories as he tunes in to watch every night.
In a honest post, the dad-of-three didn't mind pointing out his love got "emotional", "dramatic" and "screamed a lot".
However, the reality star also drew attention to the fact Jacqueline always gets what she wants done.
He said: "She's doing great. It's well out of her comfort zone. I said in an interview after the first episode, she'll shock everyone.
"She'll do good. She do it. She might be an emotional person, she might be a little dramatic, she might scream a lot but she's getting it done and that's what matters."
Dan had watched on in fear as the mother-of-two took part in the cave trial where she had to crawl into boxes to collect stars passed up to her by Ian Wright.
However, there were a few nasty surprises in there including snakes and spiders.
Incredibly impressed, Dan gushed his wife had made the Bushtucker Trial look "easy" when she performed it alongside Ian.
"Jac and Ian did amazing in that trial," he enthused. "Went in there. Smashed it. Made it look easy.
"There was a lot of screaming going on from both people but they absolutely nailed it."
It comes after Dan made a sly dig at Jacqueline for crying ahead of the I'm A Celeb trials.
He said: "I think it's good, if you go there, you're not going to enjoy the trials. There's a part of you wanting to do the trial.
"You want to get out of camp and do as much as you can."


vignettes/intro_haldensify.Rmd
intro_haldensify.Rmd
In causal inference problems, both classical estimators (e.g.,
inverse probability weighting) and doubly robust estimators (e.g.,
one-step estimation, targeted minimum loss estimation) require
estimation of the propensity score, a nuisance parameter corresponding
to the treatment mechanism. While treatments of interest may often be
continuous-valued, most approaches opt to discretize the treatment so as
to estimate effects based on binary (or categorical) treatment. Such
simplifications are often motivated by convenience rather than science –
to avoid estimation of the generalized propensity score (Hirano and Imbens 2004; Imai and Van Dyk 2004),
the covariate-conditional treatment density. The haldensify
package introduces a flexible approach for estimating such conditional
density functions, using the highly adaptive lasso (HAL), a
nonparametric estimator that has been shown to exhibit desirable
rate-convergence properties.
Consider data generated by typical cohort sampling \(O = (W, A, Y)\), where \(W\) is a vector of baseline covariates, \(A\) is a continuous (or ordinal) treatment, and \(Y\) is an outcome of interest. Estimation of the generalized propensity score \(g_{0,A}\) corresponds to estimating the conditional density of \(A\) given \(W = w\). A simple strategy for estimating this nuisance function is to assume a parametric working model and use parametric regression to generate suitable density estimates. For example, one could operate under the working assumption that \(A\) given \(W\) follows a Gaussian distribution with homoscedastic variance and mean \(\sum_{j=1}^p \beta_j \phi_j(W)\), where \(\phi = (\phi_j : j)\) are user-selected basis functions and \(\beta = (\beta_j : j)\) are unknown regression parameters. In this case, a density estimate would be generated by fitting a linear regression of \(A\) on \(\phi(W)\) to estimate the conditional mean of \(A\) given \(W\), paired with maximum likelihood estimation of the variance of \(A\). Then, the estimated conditional density would be given by the density of a Gaussian distribution evaluated at these estimates. Unfortunately, most such approaches do not allow for flexible modeling of \(g_{0,A}\). This motivated our development of a novel and flexible procedure for constructing conditional density estimators \(g_{n,A}(a \mid w)\) of \(A\) given \(W = w\) (possibly subject to observation-level weights).
As consistent estimation of the generalized propensity score is an integral part of constructing estimators of the causal effects of continuous treatments, our conditional density estimator, built around the HAL regression function, may be quite useful in flexibly constructing such estimates. We note that proposals for the data adaptive estimation of such quantities are sparse in the literature (e.g., Zhu, Coffman, and Ghosh (2015)). Notably, Dı́az and van der Laan (2011) gave a proposal for constructing a semiparametric estimator of such a target quantity based on exploiting the relationship between the hazard and density functions. Our proposal builds upon theirs in several key ways:
While our first modification is general and may be applied to the estimation strategy of Dı́az and van der Laan (2011), our latter contribution requires adjusting the penalization aspect of HAL regression so as to respect the use of a loss function appropriate for density estimation on the hazard scale.
To build an estimator of a conditional density, Dı́az and van der Laan (2011) considered discretizing the observed \(a \in A\) based on a number of bins \(T\) and a binning procedure (e.g., including the same number of points in each bin or forcing bins to be of the same length). We note that the choice of the tuning parameter \(T\) corresponds roughly to the choice of bandwidth in classical kernel density estimation; this will be made clear upon further examination of the proposed algorithm. The data \(\{A, W\}\) are reformatted such that the hazard of an observed value \(a \in A\) falling in a given bin may be evaluated via standard classification techniques. In fact, this proposal may be viewed as a re-formulation of the classification problem into a corresponding set of hazard regressions: \[\begin{align*} \mathbb{P} (a \in [\alpha_{t-1}, \alpha_t) \mid W) =& \mathbb{P} (a \in [\alpha_{t-1}, \alpha_t) \mid A \geq \alpha_{t-1}, W) \times \\ & \prod_{j = 1}^{t -1} \{1 - \mathbb{P} (a \in [\alpha_{j-1}, \alpha_j) \mid A \geq \alpha_{j-1}, W) \}, \end{align*}\] where the probability that a value of \(a \in A\) falls in a bin \([\alpha_{t-1}, \alpha_t)\) may be directly estimated from a standard classification model. The likelihood of this model may be re-expressed in terms of the likelihood of a binary variable in a data set expressed through a repeated measures structure. Specifically, this re-formatting procedure is carried out by creating a data set in which any given observation \(A_i\) appears (repeatedly) for as many intervals \([\alpha_{t-1}, \alpha_t)\) that there are prior to the interval to which the observed \(a\) belongs. A new binary outcome variable, indicating \(A_i \in [\alpha_{t-1}, \alpha_t)\), is recorded as part of this new data structure. With the re-formatted data, a pooled hazard regression, spanning the support of \(A\) is then executed. Finally, the conditional density estimator \[\begin{equation*} g_{n, \alpha}(a \mid W) = \frac{\mathbb{P}(a \in [\alpha_{t-1}, \alpha_t) \mid W)}{(\alpha_t - \alpha_{t-1})}, \end{equation*}\] for \(\alpha_{t-1} \leq a \le \alpha_t\), may be constructed. As part of this procedure, the hazard estimates are mapped to density estimates through rescaling of the estimates by the bin size (\(\alpha_t - \alpha_{t-1}\)).
In its original proposal, a key element of this procedure was the use of any arbitrary classification procedure for estimating \(\mathbb{P}(a \in [\alpha_{t-1}, \alpha_t) \mid W)\), facilitating the incorporation of flexible, data adaptive estimators. We alter this proposal in two ways,
Our procedure alters the HAL regression function to use a loss function tailored for estimation of the hazard, invoking \(\ell_1\)-penalization in a manner consistent with this loss.
First, let’s load a few required packages and set a seed for our example.
library(haldensify)
library(data.table)
library(ggplot2)
set.seed(75681)
Next, we’ll generate a simple simulated dataset. The function
make_example_data
, defined below, generates a baseline
covariate \(W\) and a continuous
treatment \(A\), whose mean is a
function of \(W\).
make_example_data <- function(n_obs) {
W <- runif(n_obs, -4, 4)
A <- rnorm(n_obs, mean = W, sd = 0.25)
dat <- as.data.table(list(A = A, W = W))
return(dat)
}
Now, let’s simulate our data and take a quick look at it:
# number of observations in our simulated dataset
n_obs <- 200
(example_data <- make_example_data(n_obs))
## A W
## 1: 2.3063922 2.24687273
## 2: 0.9297479 0.91025531
## 3: -3.2443382 -2.98696024
## 4: -0.1842217 -0.01204378
## 5: 3.2756387 3.59166824
## ---
## 196: 0.4250425 0.43070281
## 197: 1.0606211 1.35836156
## 198: 2.2820014 2.34814939
## 199: -2.9015290 -3.05240270
## 200: -3.2334017 -3.52716556
Next, we’ll fit our pooled hazards conditional density estimator via
the haldensify
wrapper function. Based on underlying theory
and simulation experiments, we recommend setting a relatively large
number of bins and using a binning strategy that accommodates creating
such a large number of bins.
haldensify_fit <- haldensify(
A = example_data$A,
W = example_data$W,
n_bins = c(10, 20),
grid_type = "equal_range",
lambda_seq = exp(seq(-0.1, -10, length = 300)),
# the following are passed to hal9001::fit_hal() internally
max_degree = 4,
reduce_basis = 1 / sqrt(n_obs)
)
Having constructed the conditional density estimator, we can examine
the empirical risk over the grid of choices of the \(L_1\) regularization parameter \(\lambda\). To do this, we can simply call
the available plot
method, which uses the cross-validated
conditional density fits in the cv_tuning_results
slot of
the haldensify
object. For example,
p_risk <- plot(haldensify_fit)
p_risk
Finally, we can predict the conditional density over the grid of
observed values \(A\) across different
elements of the support \(W\). We do
this using the predict
method of haldensify
and plot the results below.
# predictions to recover conditional density of A|W
new_a <- seq(-4, 4, by = 0.05)
new_dat <- as.data.table(list(
a = new_a,
w_neg = rep(-2, length(new_a)),
w_zero = rep(0, length(new_a)),
w_pos = rep(2, length(new_a))
))
new_dat[, pred_w_neg := predict(haldensify_fit, new_A = new_dat$a,
new_W = new_dat$w_neg)]
new_dat[, pred_w_zero := predict(haldensify_fit, new_A = new_dat$a,
new_W = new_dat$w_zero)]
new_dat[, pred_w_pos := predict(haldensify_fit, new_A = new_dat$a,
new_W = new_dat$w_pos)]
# visualize results
dens_dat <- melt(new_dat, id = c("a"),
measure.vars = c("pred_w_pos", "pred_w_zero", "pred_w_neg"))
p_dens <- ggplot(dens_dat, aes(x = a, y = value, colour = variable)) +
geom_point() +
geom_line() +
stat_function(fun = dnorm, args = list(mean = -2, sd = 0.25),
colour = "blue", linetype = "dashed") +
stat_function(fun = dnorm, args = list(mean = 0, sd = 0.25),
colour = "darkgreen", linetype = "dashed") +
stat_function(fun = dnorm, args = list(mean = 2, sd = 0.25),
colour = "red", linetype = "dashed") +
labs(
x = "Observed value of W",
y = "Estimated conditional density",
title = "Conditional density estimates g(A|W)"
) +
theme_bw() +
theme(legend.position = "none")
p_dens
In the above example, we generate synthetic data along a grid of
\(A\) and three values of \(W\) (\(W \in
\{-2, 0, +2\}\)), representing distinct groups/strata with
respect to the covariate \(W\). Using
this data, we use the trained haldensify
model to predict
the density of \(A\), conditional on
the paired value of \(W\), yielding
estimates of the conditional density for each of these three
hypothetical strata of \(W\). The
resultant figure depicts the estimated conditional density as colored
points (blue for \(W = -2\), green for
\(W = 0\), and red for \(W = +2\)), and the theoretical density for
each group as smooth curves (using ggplot2
’s
stat_function()
). For each group, the differences between
the estimated conditional densities and the theoretical densities can be
taken as indicative of the quality of the haldensify
estimator in this example. Overall, the haldensify
estimator appears to recover the underlying density of \(A\) best for the group \(W = 0\), with slightly degraded performance
for \(W = -2\), which degrades further
for \(W = +2\). The
haldensify
conditional density estimator has been used to
estimate the generalized propensity score in applications of the
methodology described in Hejazi et al.
(2020).
As mentioned above, the generalized propensity score is a critical
ingredient in evaluating causal effects for continuous treatments. A
popular framework for defining and evaluating such causal effects is
that of modified treatment policies (Haneuse and
Rotnitzky 2013; Dı́az and van der Laan 2018; Hejazi et al. 2022),
which define interventions that shift (or modify) the treatment. For
example, in a setting with a continuous treatment \(A\), in which we additionally collect
baseline covariates \(W\) and an
outcome measurement \(Y\) (so that the
data on a given unit is \(O = (W, A,
Y)\)), we could consider an intervention that sets the value of
\(A\) via \(d(A,W; \delta) = A + \delta(W)\), for a
user-defined function \(d(A,W;\delta)\)
indexed by a function (or scalar) \(\delta\). This intervention regime is a
simple example of a modified treatment policy (MTP); it can be thought
of mapping the observed \(A\) to a
counterfactual \(A_{\delta}\) that is
itself an additive shift of the natural value of \(A\). The counterfactual mean of such an
intervention would be expressed \(\mathbb{E}[Y(A_{\delta})]\), where \(Y(A_{\delta})\) is the potential outcome
that would be observed had the treatment taken the value \(A_{\delta}\). Both Haneuse and Rotnitzky (2013) and Dı́az and van der Laan (2018) proposed
substitution, inverse probability weighted (IPW), and doubly robust
estimators of a statistical functional \(\psi\) that identifies this counterfactual
mean under standard assumptions. Doubly robust estimators of \(\psi\) are implemented in the
txshift
R
package (Hejazi and Benkeser 2020, 2022); such
estimation frameworks are usually necessary in order to take advantage
of flexible estimators of nuisance parameters.
Despite the popularity of doubly robust estimation procedures, IPW
estimators can be modified to accommodate data adaptive estimation of
the (generalized) propensity score. Such nonparametric IPW estimators,
based on HAL, have been described by Ertefaie,
Hejazi, and van der Laan (2022) in the context of binary
treatments, and by Hejazi et al. (2022)
for continuous treatments. The IPW estimator of \(\psi\) is \(\psi_{n,\text{IPW}} = \{\tilde{g}_{n,A}(A \mid W)
/ g_{n,A}(A \mid W)\} Y\), where \(g_{n,A}\) is an estimator of the
generalized propensity score (e.g., as produced by
haldensify()
) and \(\tilde{g}_{n,A}\) is this quantity
evaluated at the post-intervention value of the treatment \(A_{\delta}\). Usually, \(g_{n,A}\) must be estimated via parametric
modeling strategies in order for \(\psi_{n,\text{IPW}}\) to achieve desirable
asymptotic properties (unbiasedness, efficiency); however, when \(g_{n,A}\) is estimated flexibly, sieve
estimation strategies (undersmoothing) may be used to select an
estimator \(g_{n,A}\), from among an
appropriate class, that allows for optimal estimation of \(\psi\). This issue arises in part because
strategies for optimal selection of \(g_{n,A}\) (e.g., cross-validation) optimize
for estimation of the conditional density, ignoring the fact that it is
only a nuisance parameter in the process of IPW estimation. When
haldensify()
is used for this purpose, a family of
conditional density estimators \(g_{n,A,\lambda}\), indexed by the \(\ell_1\) regularization term \(\lambda\), are generated, with
cross-validation used to select an optimal estimator from among this
trajectory in \(\lambda\). We saw this
above when we visualized the empirical risk profile of \(g_{n,A}\). While empirical risk
minimization based on the framework of cross-validated loss-based
estimation is appropriate for optimally estimating the generalized
propensity score, the selected estimator will fail to yield an IPW
estimator with desirable asymptotic properties; undersmoothing must be
used to select a more appropriate estimator. The haldensify
package implements nonparametric IPW estimators that incorporate
undersmoothing in the ipw_shift()
function, the use of
which we demonstrate below.
To begin, we set up a new data-generating process and simulate data for \(n = 200\) units from it. We will aim to estimate the counterfactual mean of \(Y\) under an MTP that shifts \(A\) by \(\delta = 2\).
# set up data-generating process
make_example_data <- function(n_obs) {
W <- runif(n_obs, 1, 4)
A <- rpois(n_obs, 2 * W + 1)
Y <- rbinom(n_obs, 1, plogis(2 - A + W + 3))
dat <- as.data.table(list(Y = Y, A = A, W = W))
return(dat)
}
# generate data and take a look
(dat_obs <- make_example_data(n_obs = 200))
## Y A W
## 1: 0 9 3.278160
## 2: 1 3 1.454188
## 3: 1 4 2.690463
## 4: 1 6 2.153003
## 5: 1 4 2.198303
## ---
## 196: 1 5 2.821780
## 197: 1 3 1.759812
## 198: 1 6 3.430137
## 199: 1 3 2.425576
## 200: 1 1 1.229131
With this dataset, we can now simply call the
ipw_shift()
function, providing arguments that specify the
causal effect of interest (delta = 2
) and tuning parameters
for estimating the generalized propensity score
(lambda_seq
, cv_folds
, n_bins
).
The selector_type
argument specifies the type of
undersmoothing to be used to select an appropriate IPW estimator (from
among a sequence in \(\lambda\));
setting the option selector_type = "all"
simply returns IPW
estimators for each of the selectors implemented. For a formal
description of the selectors and numerical experiments examining their
performance, see Hejazi et al. (2022).
est_ipw <- ipw_shift(
W = dat_obs$W, A = dat_obs$A, Y = dat_obs$Y,
delta = 2,
cv_folds = 2L,
n_bins = 5L,
bin_type = "equal_range",
selector_type = "all",
lambda_seq = exp(seq(-1, -10, length = 500L)),
# arguments passed to hal9001::fit_hal()
max_degree = 3,
reduce_basis = 1 / sqrt(n_obs)
)
confint(est_ipw)
## # A tibble: 6 × 8
## lwr_ci psi upr_ci se_est type l1_norm lambda_idx gn_nbins
## <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <int>
## 1 0.538 0.639 0.728 0.0492 gcv 6.90 197 5
## 2 0.538 0.639 0.728 0.0492 dcar_tol 6.90 197 5
## 3 0.532 0.631 0.721 0.0488 dcar_min 9.46 252 5
## 4 0.532 0.631 0.721 0.0488 lepski_plateau 9.46 252 5
## 5 0.532 0.631 0.720 0.0484 smooth_plateau 9.95 257 5
## 6 0.532 0.631 0.720 0.0484 hybrid_plateau 9.95 257 5
The confint()
method used above simply creates
confidence intervals (95%, by default) for each of the IPW estimates
returned. Examining the output, we can see that the IPW estimator based
on cross-validation ("gcv"
) differs from that based on
minimization of an important criterion from semiparametric efficiency
theory ("dcar_min"
). These estimators have different
asymptotic properties, with the latter guaranteed to solve an estimating
function required for the characterization of asymptotically efficient
estimators.
txshift
: Efficient Estimation
of the Causal Effects of Stochastic Interventions. https://doi.org/10.5281/zenodo.4070042.


Exercise 5
Make the following changes to the text below using TextWrangler. You may only edit the CSS.
- The second h3 and the second gallery of images should begin on a new line. Find out which CSS rule needs an additional statement of
clear:left;
to make that happen. - Make both galleries skinner, so that they only have three images per row.
- Now hang the h3 text to the left side of the page, with their corresponding on the right side of the page.


| The first thing you should do is unpack and organize the bag of wooden parts. | |
| Notice that there is a burned side and a clean side to each part. You can choose what side you want to be the outside of the box. | |
| Now separate your parts into groups: | |
| Box | |
| Lid | |
| Motor mount | |
| Battery holder holder | |
| Hinges |
Now it is time to assemble these parts.


Class doubletree.DoubleTree
doubletree.DoubleTree
This is the class for the DoubleTree visualization
Defined in: DoubleTree.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
| Method Attributes | Method Name and Description |
|---|---|
| <static> |
doubletree.DoubleTree.basicStyles(stylesObj)
Getter/setter for the styles of the nodes and branches.
|
| <static> |
doubletree.DoubleTree.clearSearch()
clear the visualization of the search results
the CSS class foundText is removed |
| <static> |
doubletree.DoubleTree.continuationColor(value)
Getter/setter for the function determining the color of the text of the nodes that are continuations of the clicked node.
|
| <static> |
doubletree.DoubleTree.filteredIDs()
|
| <static> |
doubletree.DoubleTree.filters(value)
Getter/setter for the filter functions.
|
| <static> |
doubletree.DoubleTree.handlers(value)
Getter/setter for the handlers for alt-click and shift-click on the nodes.
|
| <static> |
doubletree.DoubleTree.init(containerPattern)
initialize the visualization in one or more html containers
|
| <static> |
doubletree.DoubleTree.nodeText(the)
Getter/setter for the function determining the content of the node labels.
|
| <static> |
doubletree.DoubleTree.prefixesOnRight(value)
Getter/setter for whether the prefixes are displayed on the right or the left.
|
| <static> |
doubletree.DoubleTree.rectBorderColor(value)
Getter/setter for the function determining the color of the borders of the background rectangles for the nodes.
|
| <static> |
doubletree.DoubleTree.rectColor(value)
Getter/setter for the function determining the color of the background rectangles for the nodes.
|
| <static> |
doubletree.DoubleTree.redraw()
redraw the visualization
|
| <static> |
doubletree.DoubleTree.scaleLabels(value)
Getter/setter for scaling the node labels by their frequency.
|
| <static> |
doubletree.DoubleTree.search(searchRE)
search the nodes of the visualization for a pattern
The found nodes will get the CSS class foundText |
| <static> |
doubletree.DoubleTree.setupFromArrays(prefixArray, hitArray, suffixArray, idArray, caseSensitive, fieldNames, fieldDelim, distinguishingFieldsArray, prefixesOnRight)
set up the visualization from arrays corresponding to the hit, the prefix, and the suffix of a key word in context result.
|
| <static> |
doubletree.DoubleTree.setupFromTries(leftOne, rtOne)
set up the visualization using 2 doubletree.Tries
|
| <static> |
doubletree.DoubleTree.showTokenExtra(value)
Getter/setter for showing/hiding extra information associated with the main value, e.g.
|
| <static> |
doubletree.DoubleTree.sortFun(the)
Getter/setter for the function determining the sort order of sibling nodes.
|
| <static> |
doubletree.DoubleTree.succeeded()
Reports whether the DoubleTree was constructed successfully
|
| <static> |
doubletree.DoubleTree.tokenExtraText(the)
Getter/setter for the function determining the content of the "extra" information for the labels labels
The function gets an information object as its first argument and a boolean indicating whether the node is the root or not as its second argument. |
| <static> |
doubletree.DoubleTree.updateTokenExtras()
update the showing/hiding of extra information associated with the basic item, e.g.
|
| <static> |
doubletree.DoubleTree.visWidth(value)
Getter/setter for the maximum width of the DoubleTree area
|
- Parameters:
- stylesObj
the CSS class foundText is removed
The function gets an information object as its argument, and should return a CSS color in a string, e.g. "rgba(255,128,0,0.5)" The default is transparent white (i.e., effectively no color);
- Parameters:
- value
- the border color function
- Returns:
- just the ids of the data that satisfies the current filters
The filter functions get an information object as their argument, and return true/false. Each position away from the root has its own filter, and the left and right sides also have their own filters. The filters are specified via an object with "left" and "right" keys whose values are arrays of functions The function at index i filters position i + 1 away from the root. Default is no filtering (via empty arrays)
Note: setting the filters does not redraw the visualization. See #redraw
- Parameters:
- value
- an object containing the filters
The handlers get an information object as their argument. The handlers are specified via an object with "alt" and "shift" keys whose values are functions The default is no handlers, i.e. NO interaction
- Parameters:
- value
- an object containing the handlers
- Parameters:
- containerPattern
- CSS selector for the containers
The function gets an information object as its first argument and a boolean indicating whether the node is the root or not as its second argument. The function should return a string. The default is #tokenText
- Parameters:
- the
- content function
The default value is false, i.e. the prefixes are displayed on the left, as in English. prefixesOnRight should be set to true for right-to-left writing systems such as Arabic, Hebrew, N'Ko, etc.
- Parameters:
- value
- true or false
The function gets an information object as its argument, and should return a CSS color in a string, e.g. "rgba(255,128,0,0.5)" The default is transparent white (i.e., effectively no color);
- Parameters:
- value
- the border color function
The function gets an information object as its argument, and should return a CSS color in a string, e.g. "rgba(255,128,0,0.5)" The default is transparent white (i.e., effectively no color);
- Parameters:
- value
- the background color function
Default is true
- Parameters:
- value
- a boolean specifying whether to scale the labels or not
The found nodes will get the CSS class foundText
- Parameters:
- searchRE
- the regular expression to look for
- Returns:
- how many nodes were found
The ith elements should correspond with each other. Each item consists of fields separated by a field delimiter. For example we might have word/tag (with / as the delimiter) or word\tlemma\tauthor (with tab (\t) as the delimiter) Only certain fields are relevant for deciding whether two items are to be considered the same (e.g. we might ignore an author field)
- Parameters:
- prefixArray
- the array of arrays of the prefixes of the hits
- hitArray
- the array of the hits
- suffixArray
- the array of arrays of the suffixes of the hits
- idArray
- the array of ids of the hits (or null, if there are no ids for the hits)
- caseSensitive
- are the hits case sensitive
- fieldNames
- the names of the fields
- fieldDelim
- the field delimiter
- distinguishingFieldsArray
- the fields that determine identity
- prefixesOnRight
- display the prefixes on the right, for right-to-left writing systems. Default is false
- Parameters:
- leftOne
- the left doubletree.Trie
- rtOne
- the right doubletree.Trie
Note: setting this value does not redraw the visualization. See #redraw Default is true
- Parameters:
- value
- a boolean specifying whether to show the information or not
The function gets an information object as its argument, and should return -1 for precedes, 1 for follows and 0 for don't care The nodes are displayed in "preceding" (i.e. ascending) order, from top to bottom. The default is alphabetical by a "token" field if there is one: doubletree.sortByStrFld("token")
- Parameters:
- the
- sort order function
- Returns:
- true if the DoubleTree was constructed successfully and false otherwise
The function gets an information object as its first argument and a boolean indicating whether the node is the root or not as its second argument. The function should return a string. The default is the POS field of the information object
- Parameters:
- the
- content function
Notes:
- This DOES redraw the visualization.
- Safari does not update the visualization correctly by itself, so we force it to rebuild the entire visualization, unlike in other browsers.
- Parameters:
- value
- the maximum width


Removing flash of unstyled text
<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.5.18/webfont.js"></script>
<script>
WebFont.load({
custom: {
families: ['Nokia Pure:n3,n4,n7'],
urls : ['wulfdist/css/wulf.min.css'] // define the file location in your case
}
});
</script>
Jquery-ui theme tips:
Where to get the theme file:
"Download" -> "Download Releases" -> "Logical place to search for the theme downloading"
1.The demo page to show jquery-ui control with wulf theme style
juery-ui-wulf\jquery-ui\index.html
2.The links that is need to be imported
<link href="../wulfdist/css/wulf.basic.min.css" rel="stylesheet"/>
<link href="jquery-ui.theme.css" rel="stylesheet">
3.What is wulf.basic.min.css?
It is the basic style definition in wulf, such as font family(Nokia Pure), font size, layout.
In jquery-ui.theme, nokia font is needed, so wulf.basic.min.css and font folder is also included.
4.Some different from OT3 because of code structure:
Dialog title corner:
The value part of slider: the component is different with wulf.
5.Other comments:
Maybe other problem will happen when apply to your project since some style may be overridden.
The old demo page is here for reference/testing purposes, not maintained.
NSN Interaction Design
Book (v-9) from Nokia GUI Board
Nokia GUI
Board


{% extends "base.html" %} {% load i18n %} {% block content %}
{{ _("You are successfully logged out. Thanks for visiting and have a nice day!") }}
{{ _("Back to home page") }}


Final Year Undergraduate at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, aspiring to become a brilliant working professional.
Educational Qualification
B.Tech
CGPA: 8.65
2018-22
Dr. B. R. Ambedkar National Institute of Technology,
Jalandhar
Major: Chemical Engineering
Minor: Computer Science and Engineering
XII (ISC)
Percentage: 97.6%
2016-2017
Mercy Memorial School, Kanpur
Affiliation- Council for The Indian School Certificate Examinations
X (ICSE)
Percentage: 98.17%
2014-2015
Mercy Memorial School, Kanpur
Affiliation- Council for The Indian School Certificate Examinations


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