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-
I'll Be Your Huckleberry
-
1882
-
John Henry "Doc" Holliday was an American gambler, gunfighter, and dentist, and a good friend of Wyatt Earp. He is best known for his role as a temporary deputy marshal in the events leading up to and following the Gunfight at the O.K. Corral.


TextField QML Type
Displays a single line of editable plain text. More...
| Import Statement: | import QtQuick.Controls 1.4 |
| Since: | Qt 5.1 |
| Inherits: |
Properties
- acceptableInput : bool
- activeFocusOnPress : bool
- canPaste : bool
- canRedo : bool
- canUndo : bool
- cursorPosition : int
- cursorRectangle : rect
- displayText : string
- echoMode : enumeration
- effectiveHorizontalAlignment : enumeration
- font : font
- horizontalAlignment : enumeration
- hovered : bool
- inputMask : string
- inputMethodComposing : bool
- inputMethodHints : enumeration
- length : int
- maximumLength : int
- menu : Component
- placeholderText : string
- readOnly : bool
- selectByMouse : bool
- selectedText : string
- selectionEnd : int
- selectionStart : int
- style : Component
- text : string
- textColor : color
- validator : Validator
- verticalAlignment : enumeration
Signals
Methods
- void copy()
- void cut()
- void deselect()
- string getText(int start, int end)
- void insert(int position, string text)
- bool isRightToLeft(int start, int end)
- void paste()
- void redo()
- void remove(int start, int end)
- void select(int start, int end)
- void selectAll()
- void selectWord()
- void undo()
Detailed Description
TextField is used to accept a line of text input. Input constraints can be placed on a TextField item (for example, through a validator or inputMask). Setting echoMode to an appropriate value enables TextField to be used for a password input field.
TextField { placeholderText: qsTr("Enter name") }
You can create a custom appearance for a TextField by assigning a TextFieldStyle.
See also TextArea and TextInput.
Property Documentation
Returns true
if the text field contains acceptable text.
If a validator or input mask was set, this property will return true
if the current text satisfies the validator or mask as a final string (not as an intermediate string).
The default value is true
.
This property is set to true
if the TextField should gain active focus on a mouse press.
The default value is true
.
Returns true
if the TextField is writable and there are previous operations that can be undone.
This property holds the position of the cursor in the TextField.
The rectangle where the text cursor is rendered within the text field.
This QML property was introduced in QtQuick.Controls 1.3.
This property holds the text displayed in the TextField.
If echoMode is set to TextInput::Normal, this holds the same value as the TextField::text property. Otherwise, this property holds the text visible to the user, while the text property holds the actual entered text.
Specifies how the text should be displayed in the TextField.
The possible modes are:
Gets the effective horizontal alignment of the text within the TextField item's width.
horizontalAlignment contains the default horizontal alignment.
See also horizontalAlignment.
Sets the alignment of the text within the TextField item's width.
By default, the horizontal text alignment follows the natural alignment of the text, for example text that is read from left to right will be aligned to the left.
The possible alignment values are:
When using the attached property, LayoutMirroring::enabled, to mirror application layouts, the horizontal alignment of text will also be mirrored. However, the property horizontalAlignment
will remain unchanged. To query the effective horizontal alignment of TextField, use the read-only property effectiveHorizontalAlignment
.
Sets an input mask on the TextField, restricting the allowable text inputs. See QLineEdit::inputMask for further details, as the exact same mask strings are used by TextField.
See also acceptableInput and validator.
This property holds whether the TextField has partial text input from an input method.
While it is composing an input method may rely on mouse or key events from the TextField to edit or commit the partial text. This property can be used to determine when to disable events handlers that may interfere with the correct operation of an input method.
This QML property was introduced in QtQuick.Controls 1.3.
Provides hints to the input method about the expected content of the text field and how it should operate.
The value is a bit-wise combination of flags, or Qt.ImhNone
if no hints are set.
The default value is Qt.ImhNone
.
Flags that alter behavior are:
- Qt.ImhHiddenText - Characters should be hidden, as is typically used when entering passwords. This is automatically set when setting echoMode to
TextInput.Password
. - Qt.ImhSensitiveData - Typed text should not be stored by the active input method in any persistent storage like predictive user dictionary.
- Qt.ImhNoAutoUppercase - The input method should not try to automatically switch to upper case when a sentence ends.
- Qt.ImhPreferNumbers - Numbers are preferred (but not required).
- Qt.ImhPreferUppercase - Uppercase letters are preferred (but not required).
- Qt.ImhPreferLowercase - Lowercase letters are preferred (but not required).
- Qt.ImhNoPredictiveText - Do not use predictive text (for example, dictionary lookup) while typing.
- Qt.ImhDate - The text editor functions as a date field.
- Qt.ImhTime - The text editor functions as a time field.
- Qt.ImhMultiLine - The text editor doesn't close software input keyboard when Return or Enter key is pressed (since QtQuick.Controls 1.3).
Flags that restrict input (exclusive flags) are:
- Qt.ImhDigitsOnly - Only digits are allowed.
- Qt.ImhFormattedNumbersOnly - Only number input is allowed. This includes decimal point and minus sign.
- Qt.ImhUppercaseOnly - Only uppercase letter input is allowed.
- Qt.ImhLowercaseOnly - Only lowercase letter input is allowed.
- Qt.ImhDialableCharactersOnly - Only characters suitable for phone dialing are allowed.
- Qt.ImhEmailCharactersOnly - Only characters suitable for email addresses are allowed.
- Qt.ImhUrlCharactersOnly - Only characters suitable for URLs are allowed.
Masks:
- Qt.ImhExclusiveInputMask - This mask yields nonzero if any of the exclusive flags are used.
Returns the total number of characters in the TextField item.
If the TextField has an input mask, the length will include mask characters and may differ from the length of the string returned by the text property.
This property can be faster than querying the length of the text property as it doesn't require any copying or conversion of the TextField's internal string data.
This property holds the maximum permitted length of the text in the TextField.
If the text is too long, it is truncated at the limit.
menu : Component |
This property contains the edit Menu for working with text selection. Set it to null
if no menu is wanted.
This QML property was introduced in QtQuick.Controls 1.3.
This property contains the text that is shown in the text field when the text field is empty.
Sets whether user input can modify the contents of the TextField. Read- only is different from a disabled text field in that the text field will appear to be active and text can still be selected and copied.
If readOnly is set to true
, then user input will not affect the text. Any bindings or attempts to set the text property will still work, however.
This property determines if the user can select the text with the mouse.
The default value is true
.
This QML property was introduced in QtQuick.Controls 1.3.
Provides the text currently selected in the text input.
It is equivalent to the following snippet, but is faster and easier to use.
myTextField.text.toString().substring(myTextField.selectionStart, myTextField.selectionEnd);
The cursor position after the last character in the current selection.
This property is read-only. To change the selection, use select(start,end), selectAll(), or selectWord().
See also selectionStart, cursorPosition, and selectedText.
The cursor position before the first character in the current selection.
This property is read-only. To change the selection, use select(start,end), selectAll(), or selectWord().
See also selectionEnd, cursorPosition, and selectedText.
style : Component |
The style Component for this control.
See also Qt Quick Controls Styles QML Types.
This property contains the text in the TextField.
Allows you to set a validator on the TextField. When a validator is set, the TextField will only accept input which leaves the text property in an intermediate state. The accepted signal will only be sent if the text is in an acceptable state when enter is pressed.
Currently supported validators are IntValidator, DoubleValidator, and RegExpValidator. An example of using validators is shown below, which allows input of integers between 11 and 31 into the text input:
import QtQuick 2.2 import QtQuick.Controls 1.2 TextField { validator: IntValidator {bottom: 11; top: 31;} focus: true }
See also acceptableInput, inputMask, and accepted.
Signal Documentation
This signal is emitted when the Return or Enter key is pressed or the text field loses focus. Note that if there is a validator or inputMask set on the text field and enter/return is pressed, this signal will only be emitted if the input follows the inputMask and the validator returns an acceptable state.
The corresponding handler is onEditingFinished
.
This QML signal was introduced in QtQuick.Controls 1.1.
Method Documentation
Removes the section of text that is between the start and end positions from the TextField.
Inserts text into the TextField at position.
Returns true
if the natural reading direction of the editor text found between positions start and end is right to left.
Performs the last operation if redo is available.
Removes the section of text that is between the start and end positions.
This QML method was introduced in QtQuick.Controls 1.4.
Causes the text from start to end to be selected.
If either start or end is out of range, the selection is not changed.
After calling select, selectionStart will become the lesser and selectionEnd will become the greater (regardless of the order passed to this method).
See also selectionStart and selectionEnd.
Reverts the last operation if undo is available. undo() deselects any current selection and updates the selection start to the current cursor position.


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{% extends 'base.html' %} {% block main %}
The page you were trying to access was not found on this site.


Ahmad Mendes Moreira: Den Bosch apologise for 'crow sounds' statement
Den Bosch have apologised to Excelsior Rotterdam's Ahmad Mendes Moreira for declaring the striker mistook "crow sounds" for racist abuse during Sunday's Dutch second division match.
The referee brought the players off after half an hour as a result of the abuse from a section of the home fans.
"Den Bosch were completely wrong yesterday with its initial reaction," the club said in a statement.
"It appears there was racist abuse from the stands."
On Sunday the club stated that opposition players near the De Viert stand inside their De Vliert stadium were regularly treated to a "crow concert" by the home support.
But on Monday, they said: "That reaction was a blunder for which the club apologises to everyone, in particular to Excelsior player Ahmad Mendes Moreira.
"The club is further investigating what actually happened and will make every effort to find and punish those who are guilty of this."
Dutch football authorities have also opened an investigation into the incident.
Winger Moreira, 24, who was born in the Netherlands, said he was called a "negro and cotton-picker".
"I'm just very angry and very sad that these things still happen," he added.
Prosecutors will study camera footage and work with police to establish what happened during the match in the North Brabant region.
The game, which ended 3-3 with Moreira scoring in the 44th minute, restarted after a 10-minute delay.
It is the latest incident of racism in European football in recent months, which includes the abuse of England players in a Euro 2020 qualifier in Bulgaria, while Brescia striker Mario Balotelli threatened to walk off after being targeted by monkey chants during his side's away loss to Hellas Verona in Serie A.


Antique Dealer Patrin:
Just a moment... Let me get my glasses...
Now, what have we here, hmm...
Oh my!
This is the lowest grade porcelain I've ever seen! Look at the large crack on the side. Do you see it? The texture is very crude, made from coarse clay... Sorry to disappoint you, but it is practically worthless...


InnovaStudio WYSIWYG Editor - Examples
Example 1. Embedding the Editor
-
ASP example.
View
-
PHP example.
View
-
ASP.NET example (automatic).
View
Example 2. Using in a HTML Form
-
ASP example.
View
-
PHP example.
View
-
ASP.NET example.
View
-
Multiple Instances - ASP example.
View
-
Multiple Instances - PHP example.
View
-
Multiple Instances - ASP.NET example.
View
Example 3. Saving to a Database
To run these examples, please give write permission to the database folder: example03_database/database/
-
ASP example.
View
-
PHP example. View
To run the PHP example, please create a DSN (name: "data") for the Access database
(example03_database/database/data.mdb).
-
ASP.NET example.
View
-
Using 'Save' button - ASP example.
View
-
Using 'Save' button - PHP example.
View
-
Using 'Save' button - ASP.NET example.
View
Example 4. Stylesheet
-
Setting default Editor styles (background color, default font, etc)
- ASP Example. View
-
Setting default Editor styles (background color, default font, etc)
- PHP Example. View
-
Setting default Editor styles (background color, default font, etc)
- ASP.NET Example. View
-
Using 'Styles' Dialog
- ASP Example. View
-
Using 'Styles' Dialog
- PHP Example. View
-
Using 'Styles' Dialog
- ASP.NET Example. View
-
Applying external CSS file
- ASP Example. View
-
Applying external CSS file
- PHP Example. View
-
Applying external CSS file
- ASP.NET Example. View
Example 5. Using Asset Manager Add-on
Example 6. Setting Width/Height & Configuring Toolbar Buttons
-
1 Lines - ASP example.
View
-
1 Lines - PHP example.
View
-
1 Lines - ASP.NET example.
View
-
3 Lines - ASP example.
View
-
3 Lines - PHP example.
View
-
3 Lines - ASP.NET example.
View
Example 7. More About Getting Content (Body Content, Full HTML Content & XHTML)
Example 8. Using the Editor to Edit a HTML file
To run these examples, please give write permission to the folder: example08_editingfile/
Example 9. Adding Custom Buttons
Example 10. Inserting Custom Content
-
ASP example.
View
-
PHP example.
View
-
ASP.NET example.
View
-
Using 'Custom Object' Button - ASP example.
View
-
Using 'Custom Object' Button - PHP example.
View
-
Using 'Custom Object' Button - ASP.NET example.
View
Example 11. Inserting Custom Links
Example 12. Inserting Custom Tags
Example 13. Writing Direction (Right to Left)
Example 14. Complete Toolbar Buttons
Example 15. Localization
-
Dynamic (using language selection)
-
Danish
-
Dutch
-
Finnish
-
French
-
German
-
Chinese Simplified
-
Chinese Traditional
-
Norwegian
-
Russian
-
Spanish
-
Swedish
Example 16. Enable/Disable Realtime Status Feature
InnovaStudio WYSIWYG Editor
Copyright © 2003-2005, INNOVA STUDIO (www.InnovaStudio.com). All rights reserved.


FORREST GUMP A film review by David S. Cowen Copyright 1994 David S. Cowen
I went into FORREST GUMP with high hopes--I had both faith in Robert Zemeckis, whose other films I've enjoyed, and in the story. I was all ready for a heart-warming tale about a man who, while slow in thought, managed to see some truths in life that other people didn't. Already this year I was treated to two such films with similar plots: THE HUDSUCKER PROXY, with Tim Robbins' comic turn as a "wise fool," and WHAT'S EATING GILBERT GRAPE, where Leonardo DiCaprio's Arnie steals the movie. While I went into the movie with much anticipation, after the movie, I didn't quite as inspired as the other people who have reviewed or mentioned the movie here on r.a.m. But boy, did I feel like RUNNING IN MY NIKES to get an ice cold DR PEPPER, which I'd take home and use on my new APPLE COMPUTER.
All three of these products seem rather conspicuous in the film, but none of them have a direct bearing on the plot. For example, when Forrest goes to "meet the President" for the first time, he talks about his awe at seeing all of that food laid out for the guests. That's part of the plot--Forrest *would* be more awed by food if he was hungry than meeting the President. Suddenly, though, we see the 7-UP and DR PEPPER bottles ... and Forrest mentions "But I was more thirsty than hungry--and I drank *15* DR PEPPERS." Shot of Forrest guzzling another DR PEPPER. Feeling thirsty, people? We continue to see Dr. Pepper all through the film.
Then, we have the whole theme about him running across the country. While his shrimping excursion was one of the more enjoyable, inspirational parts of the film, we suddenly have him going home and not having anything to do, so he runs across the country. Huh? Does that sub-plot make any sense? Only if you think of it in terms of NIKE, who was able to have Forrest show off his well-worn Nikes and wear a NIKE T-shirt during the entire sub-plot.
But the most beguiling thread is the Apple Computer plug. The film is very specific as to times and dates--at the beginning of the film we see a bus go by advertising "The 1981 Mercury Capri." After Forrest becomes a mega-zillionaire because of Apple stock investment, Jenny comes home. They watch the Bicentennial on TV (another subtle time placement, and one that makes sense given that young Forrest looks about 5-ish in 1981). But wait, Apple Corporation was *started* in *April* of 1976 ... and public stock wasn't available until 1978. If Apple didn't pay to have their logo in that movie, than why wouldn't Zemeckis & Co. have used IBM, whose stock was booming from 1976 into the 80's?
Plugs in films don't bother me if they're well integrated with the plot, or make sense given a certain character or environment (if I see a Coca-Cola poster in, say, a set of a convenience store, that's natural). But in FORREST GUMP, these promotions seemed to have a lot of control on the script of the film. I don't go to a movie to see advertisements subtly linked to a film, I go to see plot, and characters, and emotion, and action. Obvious plugs are just distracting, and pull me out of the kind of emotional webs that a movie can create.
There's more I could point out that just didn't make sense in FORREST GUMP. I didn't know that dying of cancer or AIDS made you so happy--Forrest's mother, on her deathbed, seems perfectly healthy and downright ebullient. And Tom Hanks, well, he seemed to just be hamming it up. DiCaprio's performance in Gilbert Grape was awe-inspiringly realistic, Robbins' performance in Hudsucker was laugh- out-loud funny. Both are inspiring. Gump's character is none of those, and I don't think either Zemeckis or Hanks knew whether to play Gump for laughs or for drama.
"Life is like a box of chocolates--you never know what you'll get." I know what you'll get. You'll get chocolates. And if you're really intelligent, you know what the little squiggles on top of the chocolates mean.
Rating: FORREST GUMP was neither heart-warming or entertaining, and seemed more designed to sell than to affect. Go rent Gilbert Grape when it comes out on video. 2 out of 10.
<EMAIL_ADDRESS><EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Arcserve Backup For Windows Disaster Recovery Option
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2


Introduction to Probability Models
Lecture 24
Qi Wang, Department of Statistics
Oct 19, 2018
Uniform Random Variable
X is a continuous random variable with PDF $f_X(x)$
- The definition of $X$ : the variable is evenly distributed over an interval
- Support: $X \in [a, b]$ or $a \le X \le b$
- Parameter: $a, b$, the end points of the interval
- PDF: $f_X(x) = \frac{1}{b- a}$, for $a \le x \le b$
- CDF:
\[
F_X(x)=\left\{
\begin{array}{ll}
0, x < a\\
\frac{x - a}{b - a}, a \le x \le b\\
1, x > b
\end{array}
\right.
\]
- Expected Value: $E[X] = \frac{a + b}{2}$
- Variance: $Var(X) = \frac{(b - a)^2}{12}$
- Notation: $X \sim Unif(a, b)$
Example 1
Let $X \sim Unif(a = 1, b = 5)$
- State and sketch the PDF
- State and sketch the CDF
- Find $F_X(2), F_X(3.7), P(X > 3), P(X < 4 | X > 1.8)$
- Find the mean and standard deviation of X
- What is the $35_{th}$ percentile?
Example 2
Eric always arrives at his bus stop at 10:05 am, knowing that the arrival of the bus varies anywhere
from 10:05 am to 10:20 am. Let X be the amount of time (in minutes) that Eric waits for the bus to arrive.
- What is the probability that Eric will have to wait longer than 8 minutes? What distribution and parameters are you using?
- What is the probability the bus will come between 10:12 am and 10:18 am?
- Eric has been keeping a record of his wait times for the bus, what is the 40th
percentile of his wait times? What time is that on the clock?
- If Eric's waiting time is at most 9 minutes, what is the probability that it is under 6 minutes?
- After Eric gets on the bus, he has a 10 minute ride and then a 4 minute walk to his
class. His class begins at 10:30 am. What is the probability that he will be on time for
class?


{% extends "base.html" %} {% load crispy_forms_tags %} {% block title %} Login | AuS {% endblock %} {% block content %} {% if form.errors %}
Your username and password didn't match. Please try again.
{% endif %} {% if next %} {% if user.is_authenticated %}Your account doesn't have access to this page. To proceed, please login with an account that has access.
{% else %}Please login to see this page.
{% endif %} {% endif %} {% endblock %}


Known problems :
- (nearly fixed) Only last answer should be printed, not intermediate expressions
- numéric answers should be rigth aligned
- Implements more error than just "Syntax Error": Arg error, Div by Zero, ....
- Char with code >= 256 (UTF-16 character table) are not usabel in strings
- Lot of missing chars in hiResConsoleFont / hiResGfxFont (and probably in lowRes font too)
- Lot of missing instructions ... but it's normal as there is plenty of work to do.


If your organization manages users using an LDAP or Active Directory server, you can configure TenFour to synchronize your users and groups.
Latest synchronization was at {{setting.latest_sync_at | dateTime}}


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: Security title: reCAPTCHA weakened --- So for my Computer Vision graduate class at the University of Colorado I choose to do an analysis of reCAPTCHA and algorithms used to defeat it.
With a success rate of up to 23% automated software using vision algorithms can successfully get around the CAPTCHA. This still allows a large amount of SPAM to get through. There are other CAPTCHA systems that fair a little better, but it is only a matter of time before those are broken too. We'll have to wait and see what comes along next to thwart spammers.
You can access my paper here and all of my research data and materials here.


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "TOPSY-TURVY" (USA Films)
When the New York Film Critics voted it as Best Film of 1999, this unconventional, music-laden biopic of Gilbert & Sullivan by Mike Leigh took on a surprising, new status. By definition, the term "topsy-turvy" means inverted or confused, both of which apply to the life and times of Britain's operetta maestros William Schwenk Gilbert and Arthur Sullivan, who worked together from 1871 to 1896, concocting delights like H.M.S. Pinafore, The Gondoliers and The Pirates of Penzance. The story, covering 14 months in the mid-1880s, finds the ailing, aristocratic composer Sullivan (Allan Corduner) deeply discontented with his collaboration with the somewhat boorish librettist Gilbert (Jim Broadbent) after the tepid reception of their Princess Ida. Depressed and despondent, Sullivan decides to turn his attention from "light" to "serious" opera, much to Gilbert's dismay, not to mention the chagrin of the manager (Ron Cook) of the Savoy Theater. That is - until Gilbert's wife (Lesley Manville) takes him to a Japanese exhibition in London which sparks a fanciful idea - namely The Mikado, which became one of Gilbert & Sullivan's greatest hits. Then the rest of the film concentrates on the meticulous preparation of this witty, new operetta - focusing on the rehearsals, primarily on the prickly, temperamental actors (Timothy Spall, Martin Savage, Kevin McKidd, Shirley Henderson). Leigh's pacing, unfortunately, is uneven. There's a middle section with tepid musical numbers from The Sorcerer that gets quite tedious. And the including of some risque nudity seems gratuitous, earning an R-rating when the content should have been suitable for teenagers. On the Granger Movie Gauge of 1 to 10, Topsy-Turvy is a deftly performed, frothy, delightful 8, particularly for Gilbert & Sullivan fans.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: page title: About header-img: "img/about-bg.png" ---
Hello! I am currently a student enrolled in Full Stack Web Development - Flatiron School. I'm a Registered Nurse in the state of FL, a pilot and have a wife, 3 children and 3 pets.


If it’s happening, and it’s happening - it’s here.
Infinite Industries highlights experiments in contemporary culture so more of us can discover, share and participate. Gallery openings, punk shows, theater, street art, orchestra, museums, hip-hop, dance; it’s all here for you to experience.
Curated list of events delivered to your mailbox once a week.


So, you chose solo. Not a bad choice. So I made a list of all your names
names so just click on your name and I'll have your last name too so you don't get confused with
who's who and
it'll have your skit for you.
Well, it should have your skit for you.
See, technology is pretty good.
Well, that is, if you know how to use technology.
Thank you for checking out my website. Hope you enjoyed.


To establish a connection, MTalk does the following:
ModemConnect()
(defined in modem.goc) to make the connectionCode Display 9-1 Making A Serial Line Connection
/* * phoneNum - Phone number to dial. * retVal - Return value of ModemConnect(). */ char phoneNum[MAX_PHONE_NUM_LENGTH + 1]; Boolean retVal;
/* * Allocate a global memory block to be used as a buffer to hold received data. * A local buffer variable in the read function would use up * precious stack space, and a global buffer variable * would increase the size of the application's fixed data segment, * which degrades overall memory manager performance. * * Allocating it to be DISCARDABLE has further advantages. * Because we don't care what happens to the contents after they * have been processed, we'll allow the memory manager to throw * the block out if it decides it needs the heap space. This * means a little extra work for us whenever we want to use the * block, since we have to check for this condition, and * reallocate if necessary. */
recvBuffer = MemAlloc( INPUT_BUFFER_SIZE, HF_DISCARDABLE, 0 );
/* * If the buffer was not successfully allocated, memory must be getting low * so shut down. */ if ( recvBuffer == NullHandle ) { @send application::MSG_META_QUIT(); return; }
/* * Get the phone number to dial. */ @call MTalkPhoneNumberText::MSG_VIS_TEXT_GET_ALL_PTR( phoneNum );
/* * Create the modem connection and register the object and messages * it will receive when data is received or when the call has ended. * Note: in this example, oself refers to the process object. * Remember that ModemConnect() returns FALSE if it successfully makes * the connection. */ retVal = ModemConnect( phoneNum, oself, MSG_MTALK_PROCESS_READ_DATA, MSG_MTALK_PROCESS_CALL_ENDED );
/* * If the connection failed, free the buffer and return. (Note: after freeing * any allocated memory, it is good practice to re-set handles and pointers to * Null so that you can test for a Null value later.) */ if ( retVal ) { MemFree( recvBuffer ); recvBuffer = NullHandle; return; }
ModemConnect()
takes care of the "housekeeping" details involved in making a connection. Specifically, this routine takes care of the following:
ModemConnect()
takes four parameters:
ModemConnect()
returns FALSE if the attempt to connect is successful. If the attempt is unsuccessful, it displays a dialog box notifying the user of the error. Possible error messages include:


The Computer Engineering Lab focuses on how to use field programmable gate array, VLSI and parallel processor technologies to solve difficult computing problems. We develop novel architectures, applications and design techniques to solve problems in signal processing and machine learning.
In 2017, in collaboration with Xilinx Research Labs, our FINN paper was one of the first to demonstrate that binarized neural networks are an excellent match to FPGA architectures [3]. Implementations exploiting binary weights have led to the highest performance FPGA implementations of convolutional neural networks. We further improved the accuracy using Symmetric Quantization [1], reporting state of the art results. We have also developed a fully parallel implementation of ternary networks which achieved the highest reported performance on an FPGA for small convolutional neural networks [2] (Figure 1).
Julian Faraone et al. “SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks”. In: Proc. Computer Vision and Pattern Recognition (CVPR). Utah, US, June 2018. doi: 10.1109/CVPR.2018.00452. url: syq_cvpr18.pdf.
Stephen Tridgell et al. “Unrolling Ternary Neural Networks”. In: ACM Trans. Reconfigurable Technol. Syst. 12.4 (Oct. 2019), 22:1–22:23. issn: 1936-7406. doi: 10.1145/3359983. url: ternary_trets19.pdf.
Yaman Umuroglu et al. “FINN: A Framework for Fast, Scalable Binarized Neural Network Inference”. In: Proc. ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA). Source code available from https://github.com/Xilinx/BNN-PYNQ. 2017, pp. 65–74. doi: 10.1145/3020078.3021744. url: bnn_fpga17.pdf.
We have developed a mixed-precision on-chip training implementation of the SWALP algorithm on the Xilinx Zynq platform [2]. Using predominantly 8-bit integer numbers, block floating-point quantisation and stochastic weight averaging techniques are applied during training to avoid any degradation in accuracy. By using floating-point for the small number of high-precision operations required, we achieve a 0.5% accuracy improvement for the MNIST and CIFAR10 benchmarks, with results within 0.1% of floating point.
While standard floating point representations have two degrees of freedom, via the exponent and mantissa, our new block minifloat (BM) exposes the exponent bias as an additional field for optimization. This enables end-to-end training of ImageNet, LSTM and Transformer deep neural networks end with only 4-8 bit weight, activation and gradient tensors [1] and as a result, higher performance (see Figure 2).
Sean Fox et al. “A Block Minifloat Representation for Training Deep Neural Networks”. In: Proc. of The International Conference on Learning Representations (ICLR). 2021. url: bm_iclr21.pdf.
Sean Fox et al. “Training Deep Neural Networks in Low-Precision with High Accuracy using FPGAs”. In: Proc. International Conference on Field Programmable Technology (FPT). Best Paper Award Candidate. 2019, pp. 1–9. doi: 10.1109/ICFPT47387.2019.00009. url: lptrain_fpt19.pdf.
We have also been exploring how FPGA architectures can be modified to better support the implementation of low-precision neural networks. In 2019, collaborating with Fudan University, we developed PIR-DSP, a digital signal processing (DSP) block compatible with the Xilinx DSP38E2 which supports 9, 4 and 2-bit multiply-accumulation (MAC) operations, offering a 6, 12, and 24× improvement in MACs per DSP respectively [1] (Figure 3). We also developed LUXOR, which are vendor-agnostic (LUXOR) and vendor-specific (LUXOR+) modifications to the Xilinx and Intel logic elements to allow the efficient implementation of compressor trees [2]. We demonstrate that LUXOR can deliver an average reduction of 13-19micro-benchmarks from a variety of domains. Binarized neural networks benefit the most with an average reduction of 37-47utilization, which is due to the highly-efficient mapping of the XnorPopcount operation on our proposed LUXOR+ logic cells.
SeyedRamin Rasoulinezhad et al. “PIR-DSP: An FPGA DSP block Architecture for Multi-Precision Deep Neural Networks”. In: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM). 2019, pp. 1–8. doi: 10.1109/FCCM.2019.00015. url: pirdsp_fccm19.pdf.
Seyedramin Rasoulinezhad et al. “LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations”. In: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. FPGA ’20. Seaside, CA, USA: Association for Computing Machinery, 2020, pp. 161–171. isbn:<PHONE_NUMBER>998. doi: 10.1145/3373087.3375303. url: luxor_fpga20.pdf.
We have developed a family of implementations of kernel methods which can perform simultaneous learning and prediction with different tradeoffs between capacity, performance, and area (Figure 4). Our microcoded kernel recursive least squares (KRLS) and kernel normalised least mean squares (KNLMS) implementations achieves an order of magnitude improvement in throughput over a microprocessor, and is programmable [3]. Our fully pipelined implementation of KNLMS achieves 161 GFLOPS, this being a 10x speedup over a desktop processor and a 2.66x speedup over a GPU [2]. We developed the braiding technique which overcomes dependencies by expressing the output as a combination of the earlier state and other examples in the pipeline. This was applied to the Naive Online regularised Risk Minimization Algorithm (NORMA), achieving a latency of less than 100 ns [4]. We also developed a delayed update scheme to achieve 250 Gop/s, a 1.8x improvement on the state of the art and 12x higher performance than the standard KNLMS algorithm [1] .
Nicholas J. Fraser and Philip H. W. Leong. “Kernel Normalised Least Mean Squares with Delayed Model Adaptation”. In: ACM Trans. Reconfigurable Technol. Syst. 13.2 (Feb. 2020). issn: 1936-7406. doi: 10.1145/3376924. url: dknlms_trets20.pdf.
Nicholas J. Fraser et al. “FPGA Implementations of Kernel Normalised Least Mean Squares Processors”. In: ACM Trans. Reconfigurable Technol. Syst. 10.4 (Dec. 2017), 26:1–26:20. issn: 1936-7406. doi: 10.1145/3106744. url: knlms_trets17.pdf.
Yeyong Pang et al. “A Microcoded Kernel Recursive Least Squares Processor Using FPGA Technology”. In: ACM Trans. Reconfigurable Technol. Syst. 10.1 (Sept. 2016), 5:1–5:22. issn: 1936-7406. doi: 10.1145/2950061. url: kproc_trets16.pdf.
Stephen Tridgell et al. “Braiding: a Scheme for Resolving Hazards in kernel adaptive filters”. In: Proc. International Conference on Field Programmable Technology (FPT). Queenstown, 2015, pp. 136–143. doi: 10.1109/FPT.2015.7393140. url: braiding_fpt15.pdf.
We developed analytical models that relate FPGA architectural parameters to the delay [2], logic size and depth [1] of an FPGA implementation. We also proposed hybrid FPGAs and a methodology to optimize coarse-grained floating point units (FPUs) which used common subgraph elimination to determine the best mix of blocks within an FPU [3].
Joydip Das et al. “An Analytical Model Relating FPGA Architecture to Logic Density and Depth”. In: IEEE Transactions on VLSI Systems 9.12 (2011), pp. 2229–2242. url: anyl_tvlsi11.pdf.
Eddie Hung et al. “A Detailed Delay Path Model for FPGAs”. In: Proc. International Conference on Field Programmable Technology (FPT). Sydney, 2009, pp. 96–103. url: delay_fpt09.pdf.
ChiWai Yu et al. “Optimizing Floating Point Units in Hybrid FPGAs”. In: IEEE Transactions on VLSI Systems 20 (7 2012), pp. 1295–1303. url: ofpu_tvlsi12.pdf.
FPGAs enable the integration of radio and machine learning on a single device, allowing latency to be minimised and making them an excellent platform for physical layer radio frequency (RF) applications. We have implemented a long short-term memory based spectral prediction system with 4.5 μS latency [1]. We have also developed a high performance automatic modulation classification (AMC) system using the Xilinx RFSoC platform [2], which utilises a fully parallel ternary neural network to achieve throughput of 488K classifications per second (Figure 5). More information is available at http://phwl.org/2020/rtamc/.
Siddhartha et al. “Long Short-term Memory for Radio Frequency Spectral Prediction and its Real-time FPGA Implementation”. In: Proc. MILCOM. Los Angeles, US, Oct. 2018, pp. 1–9. doi: 10.1109/MILCOM.2018.8599833. url: lstm_milcom18.pdf.
Stephen Tridgell et al. “Real-time Automatic Modulation Classification using RFSoC”. In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020. IEEE, 2020, pp. 82–89. doi: 10.1109 / IPDPSW50202.2020.00021. url: amc_raw20.pdf.
We proposed compact true and pseudo random number generators which can be efficiently implemented on FPGAs [2]. Seminal work on Gaussian number generators on FPGAs were also reviewed and state of the art implementations based on different techniques proposed [1].
David B. Thomas et al. “Gaussian random number generators”. In: ACM Computing Surveys 39.4 (2007), 11:1–11:38. url: grng_acmcs07.pdf.
K.H. Tsoi, K.H. Leung, and P.H.W. Leong. “Compact FPGA-based True and Pseudo Random Number Generators”. In: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM). California, 2003, pp. 51–61. url: tprng_fccm03.pdf.
We recognised that FPGA to processor transfers via the PCI-bus introduced substantial latency to many applications, and addressed it by proposing Pilchard, an FPGA card which plugged directly into a memory slot of a high-performance processor [2] (Figure 6). This was among 25 papers recognised in the FCCM20: Highlighting Significant Contributions from 20 Years of the International IEEE Symposium on Field-Programmable Custom Computing Machines (1993–2013)
We developed the highest performance structured ASIC with a 26/5x improvement in area/delay compared to an FPGA, which is customised using a minimum of 3 masks, i.e. two metals and one via [1] (Figure 7).
Man-Ho Ho et al. “Architecture and Design Flow for a Highly Efficient Structured ASIC”. In: IEEE Transactions on VLSI Systems 21.3 (2013), pp. 424–433. url: sasic_tvlsi12.pdf.
P.H.W. Leong et al. “Pilchard - A Reconfigurable Computing Platform with Memory Slot Interface”. In: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM). Selected as one of the 25 most significant papers from the first 20 years of FCCM. California, 2001, pp. 170–179. url: pilchard_fccm01.pdf.
We were the first to demonstrate acceleration of Monte Carlo (MC) techniques for the pricing of complex derivatives using FPGAs [1]. Our pipelined MC core implemented the Brace, Gatarek and Musiela (BGM) interest rate model and was 25 times faster than a software implementation on a desktop processor.
G. L. Zhang et al. “Reconfigurable Acceleration for Monte Carlo based Financial Simulation”. In: Proc. International Conference on Field Programmable Technology (FPT). Singapore, 2005, pp. 215–222. url: bgm_fpt05.pdf.
We reported the most efficient FPGA implementations of an elliptic curve processor [1], the IDEA algorithm [LCTL:00], Montgomery multiplication [2] and RC4 [3]. We also novel techniques to implement physically uncloneable functions (PUFs) [4].
P.H.W. Leong and K.H. Leung. “A Microcoded Elliptic Curve Processor using FPGA Technology”. In: IEEE Transactions on VLSI Systems 10.5 (2002), pp. 550–559. url: ecc_tvlsi02.pdf.
K.H. Tsoi, O.Y.H. Cheung, and P.H.W. Leong. “A Variable-Radix Systolic Montgomery Multiplier”. In: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM). California, 2002. url: mm_fccm02.pdf.
K.H. Tsoi, K.H. Lee, and P.H.W. Leong. “A Massively Parallel RC4 Key Search Engine”. In: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM). California, 2002, pp. 13–21. url: rc4_fccm02.pdf.
Haile Yu, Philip H.W. Leong, and Qiang Xu. “An FPGA Chip Identification Generator Using Configurable Ring Oscillator”. In: IEEE Transactions on VLSI Systems 20.11 (2012), pp. 2198–2207. url: id_tvlsi12.pdf.
We demonstrated the multiplexing of photons from four temporal modes solely using fiber-integrated optics and off-the-shelf FPGAs, achieving a 100% enhancement to the single photon output probability without introducing additional multi-photon noise [1] (Figure 8). Time-bin entangled photons allow robust entanglement distribution over quantum networks. We also demonstrated time-bin entangled photon generation, noise suppression, wavelength division, and entanglement analysis on a single photonic chip utilizing low-loss double-stripe silicon nitride waveguide structures [2].
C. Xiong et al. “Active temporal multiplexing of indistinguishable heralded single photons”. In: Nature Communications 7.10853 (2016). doi: 10.1038/ncomms10853. url: atm_ncomms16.pdf.
Xiang Zhang et al. “Integrated silicon nitride time-bin entanglement circuits”. In: Opt. Lett. 43.15 (Aug. 2018), pp. 3469–3472. doi: 10.1364/OL.43.003469. url: http://ol.osa.org/abstract.cfm?URI=ol-43-15-3469.
We showed that the morphology of intracardiac electrocardiogram signals can be used to improve classification accuracy in implantable cardiac defibrillators (ICD) [2], and that it could be implemented in low-power analogue VLSI [4, 1]. This led to a patent [3] that has been cited by all of the major ICD manufacturers such as Medtronic, Cardiac Pacemakers and Siemens, St. Jude Medical, and Pacesetter, and is being used in their commercial devices.
P. H. W. Leong and M.A. Jabri. “A Low Power VLSI Arrhythmia Classifier”. In: IEEE Transactions on Neural Networks 6.6 (Nov. 1995), pp. 1435–1445. url: matic_tnn95.pdf.
P.H.W. Leong and M. Jabri. “MATIC - an intracardiac tachycardia classification system”. In: Pacing and Clinical Electrophysiology (PACE) 15 (Sept. 1992), pp. 1317–1331.
P.H.W. Leong and M.A. Jabri. A method and system for automatically classifying intracardiac electrograms. US Patent 5,280,792. University of Sydney. Jan. 1994.
Philip Leong. “Arrhythmia classification using low power VLSI”. PhD thesis. University of Sydney, 1992. url: phdthesis.pdf.
We have developed feature selection techniques for time series problems, and applied them to a number of different applications including respiratory artefact removal [2, 1]. A parameterised generator is used to produce a large set of candidate features, and a number of complementary metrics used to select a subset. This technique was found to produce significantly improved results in the abovementioned application domains.
Thuy T. Pham et al. “Automated Quality Control of Forced Oscillation Measurements: Respiratory Artifact Detection with Advanced Feature Extraction”. In: Journal of Applied Physiology 123 (4 May 2017), jap.00726.2016. doi: 10.1152/japplphysiol.00726.2016. url: fot_jappl17.pdf.
Thuy T. Pham et al. “Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach”. In: IEEE Transactions on Biomedical Engineering 64.8 (Aug. 2017), pp. 1679–1687. issn: 0018-9294. doi: 10.1109/TBME.2016.2554599. url: fot_tbme16.pdf.


HealthBook BC is a searchable public directory of open verifiable data about health practitioners legally registered in BC.
This new service uses cutting-edge blockchain-based technology, which provides the foundation to help BC move to a digital economy.
HealthBook BC supports our goal to streamline and modernize services for British Columbians as part of our broader Digital Government Strategy.
Right now, you can use HealthBook BC to quickly verify if a health practitioner is legally registered to practice in BC.


SES has started with the aim of making the construction totally insured and trustful.
Quality Assurance using Quality Checks at different construction levels.
No Delays - Safety mechanisms against delays.
Enjoyable construction experience and competitive pricing.


Want to have some fun? You've come to the right place! Here's where you'll find lots of fun stuff, like games and comics!


@()
@main("Nine men's morris") {
Nine men's morris in Webtechnologies HTWG Konstanz
Welcome to Nine men's morris! Click the button below to start a new game.
Nine Men’s Morris Rules:
The game proceeds in three phases:
- There are 2 players in the game.
- The board consists of a grid of 3 squares one inside the other, with lines connecting the 24 intersections on which pieces can be placed.
- Each player has 9 pieces, called “men” of a given color.
- Each player tries to form a “mill”, which is 3 of their pieces in one row connected by the line. To form a mill, the pieces can be placed either horizontally or vertically, but not at at a 90 degree angle, and they must be connected by lines.
- The game begins when all pieces are off the board.
- Players decide who goes first either by agreement or by lot, such as toss of a coin.
- There are 3 phases to the game:
- Phase 1: Placing the men onto the board
- The players take turns placing one piece at a time onto the board, onto the empty dots
- During this phase each player tries to prevent the opponent from forming a mill. However, if a mill was formed anyway, then the player who formed a mill gets to remove one of the opponent’s pieces, of their choice, from the board. The piece removed has to be not in a mill itself. If all of the opponent’s pieces form a mill, then none of the opponent’s pieces can be removed.
- Players can form more than one mill in a single move by strategically placing their pieces. If they form more than one mill, then they get to remove as many of the opponent’s pieces, as the number of mills that they formed.
- The act of removing an opponent’s piece after forming a mill is called, “pounding”.
- Phase 2: Moving the men on the board
- Once all of the pieces have been placed onto the board, the players begin moving their pieces, in alternating moves, one dot at a time to try to form mills in the same fashion as in the first phase.
- In the second phase pieces can only move to an adjacent dot, and pieces cannot jump over each other or skip dots if more than one are available in a row.
- Players can form more than one mill in a single move by strategically placing their pieces. If they form more than one mill, then they get to remove as many of the opponent’s pieces, as the number of mills that they formed.
- A player is allowed to move a piece out of a mill and then moving it back on the next move to form the mill again. If this happens it is considered as if they formed a new mill and they get to remove one of the opponent’s pieces.
- Optional Phase 3: Flying the men across the board
- When one of the players has been reduced down to 3 last pieces, phase 2 ends and phase 3 begins.
- In phase 3, the limitation of moving only to an adjacent dot is removed, and both players can move their pieces to any available dot, even if that requires skipping dots or jumping over other pieces. Such movement is called “flying”.
- Phase 3 is optional and is considered a variation of the game to give an advantage to the losing opponent once they only have one piece left. If the players agree not to play phase 3 then they continue playing phase 2 until the end of the game.
- The game ends when one of the players is reduced to two pieces, and cannot any longer form mills, or if a player has no legal moves to make, making their opponent the winner in either situation.
}


ImageFormatSettings(bpy_struct)¶
base class — bpy_struct
-
class
bpy.types.
ImageFormatSettings
(bpy_struct)¶ Settings for image formats
-
cineon_black
¶ Log conversion reference blackpoint
Type: int in [0, 1024], default 0
-
cineon_gamma
¶ Log conversion gamma
Type: float in [0, 10], default 0.0
-
cineon_white
¶ Log conversion reference whitepoint
Type: int in [0, 1024], default 0
-
color_depth
¶ Bit depth per channel
8
8, 8 bit color channels.10
10, 10 bit color channels.12
12, 12 bit color channels.16
16, 16 bit color channels.32
32, 32 bit color channels.
Type: enum in [‘8’, ‘10’, ‘12’, ‘16’, ‘32’], default ‘8’
-
color_mode
¶ Choose BW for saving grayscale images, RGB for saving red, green and blue channels, and RGBA for saving red, green, blue and alpha channels
BW
BW, Images get saved in 8 bits grayscale (only PNG, JPEG, TGA, TIF).RGB
RGB, Images are saved with RGB (color) data.RGBA
RGBA, Images are saved with RGB and Alpha data (if supported).
Type: enum in [‘BW’, ‘RGB’, ‘RGBA’], default ‘BW’
-
compression
¶ Amount of time to determine best compression: 0 = no compression with fast file output, 100 = maximum lossless compression with slow file output
Type: int in [0, 100], default 15
-
display_settings
¶ Settings of device saved image would be displayed on
Type: ColorManagedDisplaySettings
, (readonly)
-
exr_codec
¶ Codec settings for OpenEXR
Type: enum in [‘NONE’, ‘PXR24’, ‘ZIP’, ‘PIZ’, ‘RLE’, ‘ZIPS’, ‘B44’, ‘B44A’, ‘DWAA’], default ‘NONE’
-
file_format
¶ File format to save the rendered images as
BMP
BMP, Output image in bitmap format.IRIS
Iris, Output image in (old!) SGI IRIS format.PNG
PNG, Output image in PNG format.JPEG
JPEG, Output image in JPEG format.JPEG2000
JPEG 2000, Output image in JPEG 2000 format.TARGA
Targa, Output image in Targa format.TARGA_RAW
Targa Raw, Output image in uncompressed Targa format.CINEON
Cineon, Output image in Cineon format.DPX
DPX, Output image in DPX format.OPEN_EXR_MULTILAYER
OpenEXR MultiLayer, Output image in multilayer OpenEXR format.OPEN_EXR
OpenEXR, Output image in OpenEXR format.HDR
Radiance HDR, Output image in Radiance HDR format.TIFF
TIFF, Output image in TIFF format.AVI_JPEG
AVI JPEG, Output video in AVI JPEG format.AVI_RAW
AVI Raw, Output video in AVI Raw format.FFMPEG
FFmpeg video, The most versatile way to output video files.
Type: enum in [‘BMP’, ‘IRIS’, ‘PNG’, ‘JPEG’, ‘JPEG2000’, ‘TARGA’, ‘TARGA_RAW’, ‘CINEON’, ‘DPX’, ‘OPEN_EXR_MULTILAYER’, ‘OPEN_EXR’, ‘HDR’, ‘TIFF’, ‘AVI_JPEG’, ‘AVI_RAW’, ‘FFMPEG’], default ‘PNG’
-
jpeg2k_codec
¶ Codec settings for Jpeg2000
Type: enum in [‘JP2’, ‘J2K’], default ‘JP2’
-
quality
¶ Quality for image formats that support lossy compression
Type: int in [0, 100], default 90
-
stereo_3d_format
¶ Settings for stereo 3d
Type: Stereo3dFormat
, (readonly, never None)
-
tiff_codec
¶ Compression mode for TIFF
Type: enum in [‘NONE’, ‘DEFLATE’, ‘LZW’, ‘PACKBITS’], default ‘DEFLATE’
-
use_cineon_log
¶ Convert to logarithmic color space
Type: boolean, default False
-
use_jpeg2k_cinema_48
¶ Use Openjpeg Cinema Preset (48fps)
Type: boolean, default False
-
use_jpeg2k_cinema_preset
¶ Use Openjpeg Cinema Preset
Type: boolean, default False
-
use_jpeg2k_ycc
¶ Save luminance-chrominance-chrominance channels instead of RGB colors
Type: boolean, default False
-
use_preview
¶ When rendering animations, save JPG preview images in same directory
Type: boolean, default False
-
use_zbuffer
¶ Save the z-depth per pixel (32 bit unsigned int z-buffer)
Type: boolean, default False
-
view_settings
¶ Color management settings applied on image before saving
Type: ColorManagedViewSettings
, (readonly)
-
views_format
¶ Format of multiview media
INDIVIDUAL
Individual, Individual files for each view with the prefix as defined by the scene views.STEREO_3D
Stereo 3D, Single file with an encoded stereo pair.
Type: enum in [‘INDIVIDUAL’, ‘STEREO_3D’], default ‘INDIVIDUAL’
-
classmethod
bl_rna_get_subclass
(id, default=None)¶ Parameters: id (string) – The RNA type identifier. Returns: The RNA type or default when not found. Return type: bpy.types.Struct
subclass
-
classmethod
bl_rna_get_subclass_py
(id, default=None)¶ Parameters: id (string) – The RNA type identifier. Returns: The class or default when not found. Return type: type
-
Inherited Properties
Inherited Functions
References


March, 2016: If you’re on an old version of Jekyll Now and run into a) build warnings or b) syntax highlighting issues caused by Jekyll 3 and GitHub Pages updates, just ✨update your _config.yml✨ and you’ll be set!
Jekyll Now
Jekyll is a static site generator that’s perfect for GitHub hosted blogs (Jekyll Repository)
Jekyll Now makes it easier to create your Jekyll blog, by eliminating a lot of the up front setup.

Quick Start
Step 1) Fork Jekyll Now to your User Repository
Fork this repo, then rename the repository to yourgithubusername.github.io.
Your Jekyll blog will often be viewable immediately at http://yourgithubusername.github.io (if it’s not, you can often force it to build by completing step 2)
Step 2) Customize and view your site
Enter your site name, description, avatar and many other options by editing the _config.yml file. You can easily turn on Google Analytics tracking, Disqus commenting and social icons here too.
Making a change to _config.yml (or any file in your repository) will force GitHub Pages to rebuild your site with jekyll. Your rebuilt site will be viewable a few seconds later at http://yourgithubusername.github.io - if not, give it ten minutes as GitHub suggests and it’ll appear soon
There are 3 different ways that you can make changes to your blog’s files:
- Edit files within your new username.github.io repository in the browser at GitHub.com (shown below).
- Use a third party GitHub content editor, like Prose by Development Seed. It’s optimized for use with Jekyll making markdown editing, writing drafts, and uploading images really easy.
- Clone down your repository and make updates locally, then push them to your GitHub repository.
Step 3) Publish your first blog post
Edit /_posts/2014-3-3-Hello-World.md
to publish your first blog post. This Markdown Cheatsheet might come in handy.
You can add additional posts in the browser on GitHub.com too! Just hit the + icon in
/_posts/
to create new content. Just make sure to include the front-matter block at the top of each new blog post and make sure the post’s filename is in this format: year-month-day-title.md
Local Development
- Install Jekyll and plug-ins in one fell swoop.
gem install github-pages
This mirrors the plug-ins used by GitHub Pages on your local machine including Jekyll, Sass, etc. - Clone down your fork
git clone https://github.com/yourusername/yourusername.github.io.git
- Serve the site and watch for markup/sass changes
jekyll serve
- View your website at http://<IP_ADDRESS>:4000/
- Commit any changes and push everything to the master branch of your GitHub user repository. GitHub Pages will then rebuild and serve your website.
Moar!
I’ve created a more detailed walkthrough, Build A Blog With Jekyll And GitHub Pages over at the Smashing Magazine website. Check it out if you’d like a more detailed walkthrough and some background on Jekyll. :metal:
It covers:
- A more detailed walkthrough of setting up your Jekyll blog
- Common issues that you might encounter while using Jekyll
- Importing from Wordpress, using your own domain name, and blogging in your favorite editor
- Theming in Jekyll, with Liquid templating examples
- A quick look at Jekyll 2.0’s new features, including Sass/Coffeescript support and Collections
Jekyll Now Features
✓ Command-line free fork-first workflow, using GitHub.com to create, customize and post to your blog
✓ Fully responsive and mobile optimized base theme (Theme Demo)
✓ Sass/Coffeescript support using Jekyll 2.0
✓ Free hosting on your GitHub Pages user site
✓ Markdown blogging
✓ Syntax highlighting
✓ Disqus commenting
✓ Google Analytics integration
✓ SVG social icons for your footer
✓ 3 http requests, including your avatar
✘ No installing dependencies
✘ No need to set up local development
✘ No configuring plugins
✘ No need to spend time on theming
✘ More time to code other things … wait ✓!
Questions?
Open an Issue and let’s chat!
Other forkable themes
You can use the Quick Start workflow with other themes that are set up to be forked too! Here are some of my favorites:
- Hyde by MDO
- Lanyon by MDO
- mojombo.github.io by Tom Preston-Werner
- Left by Zach Holman
- Minimal Mistakes by Michael Rose
- Skinny Bones by Michael Rose
Credits
- Jekyll - Thanks to its creators, contributors and maintainers.
- SVG icons - Thanks, Neil Orange Peel. They’re beautiful.
- Solarized Light Pygments - Thanks, Edward.
- Joel Glovier - Great Jekyll articles. I used Joel’s feed.xml in this repository.
- David Furnes, Jon Uy, Luke Patton - Thanks for the design/code reviews.
- Bart Kiers, Florian Simon, Henry Stanley, Hun Jae Lee, Javier Cejudo, Peter Etelej, Ben Abbott, Ray Nicholus, Erin Grand, Léo Colombaro, Dean Attali, Clayton Errington, Colton Fitzgerald, Trace Mayer - Thanks for your fantastic contributions to the project!
Contributing
Issues and Pull Requests are greatly appreciated. If you’ve never contributed to an open source project before I’m more than happy to walk you through how to create a pull request.
You can start by opening an issue describing the problem that you’re looking to resolve and we’ll go from there.
I want to keep Jekyll Now as minimal as possible. Every line of code should be one that’s useful to 90% of the people using it. Please bear that in mind when submitting feature requests. If it’s not something that most people will use, it probably won’t get merged. 💂


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And since Pink Friday’s not over yet, we also decided to go ahead and ring in Giving Tuesday a little early.
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class: center, middle, inverse, title-slide # Model Building and Fitting ### David T. Frazier ### 05/09/2017 --- # Overview - Modeling Basics with R - Building Models: Linearity - How to fit models? Optimization - Nonlinear optimization - Linear Optimization - Basics - Examples --- # Modeling Basics in R --- # But Why Models? - EDA allows us to understand that variables are related, but **not necessarily how** - Models allow us to understand - how variables are related, strength of relationship, direction of relationship - More than correlation and direction - Correlation can be [spurious](www.tylervigen.com/spurious-correlations) - ![Deceiving](Picture1.png) --- # But Why Models? - ''The goal of a model is to provide a simple low-dimensional summary of a dataset.'' - A **family of models** express a relationship between different variables. - Allow us to predict outcomes of interest, given other variables! - Prediction is critical in many fields --- # Model Familieis - Model Family describes a relationship between an outcome `\((Y)\)` and an input, covariate, pre-determined variable `\((X)\)`. - EX: `\(Y=b_0 + b_1 X +b_2 X^2+...+b_p X^p\)` - Class of polynomials in `\(X\)` - If `\(b_2=b_3=...=b_p=0\)`, linear relationship - EX: `\(F=m\cdot a\)` --- # Example - Alumni Giving - scatter plot can inform us about model structure  --- # Example  --- # Stat with a Family - Linear models are always useful! - How to find the best model? --- # Linear Models - `\(Y = b_0 + b_1 X\)` - Find `\(b_0\)` and `\(b_1\)` that generate the **model** with the **smallest distance from the data** - **Distance** between Observed `\(Y\)` and `\(b_0 +b_1 X\)` - **Smallest** over the sample `\((y_i,x_i),i=1,...,n\)` --- # Potential Distances - Need a measure of distance between `\(y_i\)` and `\(b_0+b_1 x_i\)` (over `\(i=1,...,n\)`) - What about `\(\sum_{i}\{y_i - b_0 -b_1 x_i\}^2\)`? - Just OLS!!!  --- # Other distances? - What about `\(\sum_{i}|y_i - b_0 -b_1 x_i|\)`? - Called least absolute deviations.  --- # Other distances? - What about `\(\sum_{i}(y_i - b_0 -b_1 x_i)^{3}\)`?  --- # Other distances? - What about `\(\sqrt{\sum_{i}(y_i - b_0 -b_1 x_i)^4}\)`?  --- # Different distances - Different distances measure different things - `\(d\{y_i,b_0+b_1x_i\}=y-b_0-b_1 x,\)` - `\(d\{y_i,b_0+b_1x_i\}=|y-b_0-b_1 x|,\)` - `\(d\{y_i,b_0+b_1x_i\}=(y-b_0-b_1 x)^2\)` - `\(f(b_0,b_1)=\sum_{i}d\{y_i,b_0+b_1x_i\}\)` is called **the objective function** - Takes in - data: `\((y_i,x_i)\)` - parameters: `\(b_0,b_1\)` - Outputs - measure of distance between `\(y_{i}\)` and `\(b_0+b_{1}x_{i}\)` over sample --- # What was the goal again? - Find the "best" model in the linear family... - I.E., find `\(b_0,b_1\)` that "generate the **model** with the **smallest distance from the data**" - Translation: Find `\(b_0,b_1\)` that makes `\(f(b_0,b_1)\)` **small**. --- # Optimization - This is called Optimization. - Solution will depend on `\(f(b_0,b_1)\)` - How to find `\(b_0,b_1\)`? --- # Optimization - `\(min_{b_0,b_1}\sum_{i}d\{y_i,b_0+b_1x_i\}\)` - Ex: `\({\sum_{i}\{y_i-b_0-b_1x_i\}^2}\)` - Ordinary least squares - Ex: `\(\sum_{i}|y_i-b_0-b_1x_i|\)` - Last absolute deviations - How can we find the minimum? --- # Method 1: Grid Search - Construct grid of values `\(b_0,b_1\)`. - Evaluate `\(f(b_0,b_1)\)`. - Find `\(b_0,b_1\)` that make `\(f(b_0,b_1)\)` smallest. --- # Grid Search con't. - Alumni giving dataset ```r model1 <- function(b, data) { b[1] + data$x * b[2]} measure_distance1 <- function(mod, data) { diff <- data$y - model1(mod, data) (sqrt(mean(diff^2 )))} sim1_dist <- function(b0, b1) { measure_distance1(c(b0, b1), data)} grid <- expand.grid( b0 = seq(40, 65, length = 100), b1 = seq(-3, 0, length = 100) ) %>% mutate(dist = purrr::map2_dbl(b0, b1, sim1_dist)) c(grid$b0[grid$dist==min(grid$dist)],grid$b1[grid$dist==min(grid$dist)]) ``` ``` ## [1] 53.131313 -2.060606 ``` --- # Grid Search con't. - Built in function to do OLS in `R` ```r fit1<- lm(y~x,data) fit1$coefficients ``` ``` ## (Intercept) x ## 53.013827 -2.057155 ``` - More on this later, but check out `?lm` for now... --- # Grid Search con't. - Alumni giving dataset ```r model1 <- function(b, data) { b[1] + data$x * b[2]} measure_distance1 <- function(mod, data) { diff <- data$y - model1(mod, data) ((mean(abs(diff) )))} sim1_dist <- function(b0, b1) { measure_distance1(c(b0, b1), data)} grid_o <- expand.grid( b0 = seq(40, 65, length = 100), b1 = seq(-3, 0, length = 100) ) %>% mutate(dist = purrr::map2_dbl(b0, b1, sim1_dist)) c(grid_o$b0[grid_o$dist==min(grid_o$dist)],grid_o$b1[grid_o$dist==min(grid_o$dist)]) ``` ``` ## [1] 49.090909 -1.848485 ``` --- # General optimization - Grid search not very useful in higher dimension - How to set the grid? - Need general approach --- # `optim` function in R... - Allows you to optimize user supplied functions - Works with non-differentiable functions - Syntax: `optim(init, f, method="NM")` - init: initial values for the optimizer - f: objective function - method: different optimization routines - More on this later --- #`optim` Example - Example: Alumni Giving ```r measure_distance2 <- function(mod, data) { diff <- data$y - model1(mod, data) sqrt((mean((diff )^2))) } measure_distance3 <- function(mod, data) { diff <- data$y - model1(mod, data) (mean(abs(diff ))) } best2 <- optim(c(0, 0), measure_distance2, data = data) best2$par ``` ``` ## [1] 53.00956 -2.05699 ``` ```r best3 <- optim(c(0, 0), measure_distance3, data = data) best3$par ``` ``` ## [1] 49.142933 -1.857148 ``` --- #`optim` in R - Example: Alumni Giving ```r measure_distance2 <- function(mod, data) { diff <- data$y - model1(mod, data) ((mean((diff )^(3/2)))) } best2 <- optim(c(0, 0), measure_distance2, data = data) best2$par ``` ``` ## [1] 21.2216110 -0.7684676 ``` --- class: inverse middle # Share and share alike
This work is licensed under a Creative Commons Attribution 4.0 International License.


Our back-end developer. Know More - Song Yue, The leader of Our Team
Our back-end developer.
Our front-end developer. Know More - Tian Xiao, The member of Our Team
Our front-end developer.
Our back-end developer. Know More - Xu Miao, The member of Our Team
Our front-end developer. Know More - Liu Yuchan, The member of Our Team


Hello, My name is Sgt.Daniel Smith; I am a Briton and a member of the coalition force in Iraq, I am serving in the military of the 1st Armored Division, insurgents attacks us daily. I managed to move money belonging to Saddam Hussein's family worth US$2, 000000.00. The money is in a box and is currently in the custody of a finance/ security firm where I deposited it for safe-keeping purpose, till I find a reliable person that will make claim of it on my behalf as my partner, because due to my current engagement in the Army, my country�s government will take the money if found on me,I will take 70% and you will take 30%. No strings attached. Kindly send me an e-mail signifying your interest including your contact details. Respectfully, Sgt. Daniel Smith


TENEBRAE (1982)
A film review by Mike Watson Copyright 1999 Mike Watson
Rating: 4 out of 5
On re-watching Italian writer/director Dario Argento's much lauded murder mystery TENEBRAE, I was struck more than anything else by how many sins he commits as a storyteller and manages to get away with. In emphasising style over matters of plot Argento is somewhat notorious in cult film circles, but some aficionados still praise TENEBRAE as the greatest of his "giallo" murder mysteries. While it's certainly not perfect, repeated viewings reveal it to be nonetheless a densely plotted and terrifically stylish thriller.
The story follows a promotional visit to Rome by famous American mystery novelist Peter Neal (Anthony Franciosa) where he discovers that a serial killer is on the loose inspired by his latest book "Tenebrae". With the police on his back for leads, he decides to take a personal interest in the case and he soon becomes drawn into a mystery where all is not as it seems. The film benefits enormously from a fine central performance by Franciosa. He brings grace, charm and a deceptive benigness to his character which provides an interesting foil to both the violence of the books he writes and the unfolding real-life horror around him.
The film is awash with a fascinating psychosexual tension. Argento peels back the facade of showbiz and jetset lifestyles to reveal an amoral, ambivalent, shadowy world where desire in all its forms has become a dangerous business. TENEBRAE is perhaps the most multi-layered of Argento's scripts to date and there is much bubbling underneath the surface here. It may take at least two or three viewings to appreciate all the psychological themes at play. In that respect it strongly recalls his previous giallo DEEP RED/PROFONDO ROSSO (the full-length Italian language version) and fans will enjoy spotting the recurring themes.
Needless to say for Argento fans, there is no denying the director's brilliance as a stylist. Many of the action and murder sequences are directed with his characteristic finesse and feature plenty of intriguing camerawork. They are all the more impressive for the fact that in this film Argento creates mood by filling his scenes with light, rather than the dark shadows and deep rich colours of earlier works like DEEP RED and SUSPIRIA. Instead, TENEBRAE'S set design and lighting paints a sleek, clinical, chilly vision of a vaguely futuristic urban world. And the soundtrack's mix of electronic atmospheres and gothic rock by frequent Argento collaborators Goblin is the perfect accompaniment.
So TENEBRAE has much to recommend it, no question. Still, constantly nagging at the back of this viewers mind is several lumps in the narrative. Some critics argue that logic doesn't matter in Argento films, but damnit, it matters in ALL films to the point where viewers don't deserve to feel cheated. By the way, if you don't want to know the solution to the mystery THEN SKIP THE NEXT THREE PARAGRAPHS.
About an hour into TENEBRAE the story takes an unexpected twist which, properly handled, could have proved ingenious. We witness the murder of the serial killer himself by a man who, we later discover, is none other than the author Peter Neal. He is insane, apparently. The murders then continue for the remainder of the film as Neal decides it's time to settle some personal business involving his neurotic wife.
But Argento muffs the twist, both technically and narratively. You see, we are supposed to be tricked into thinking that during this scene Peter Neal is actually an innocent witness who was crouching in the bushes nearby the whole time and spying on the killer's house. But thanks to poor editing, its had to believe Neal could have murdered the killer anyway. Bad cutting puts the timing way out. In other words, he's almost in two places at once. During this crucial scene we are also thrown a ridiculous red herring. By the film's end you realise that for the sake of an alibi Neal must have self-inflicted a nasty injury in this earlier scene to make it look like he was attacked by a fleeing assailant. The injury?
Thus, the revelation of the "hero" as a killer (and anti-hero) in the final scenes may still prove shocking, but its all somewhat implausible by the time the end credits have rolled. Helpfully, in the end we do learn that the bizarre flashbacks of personal humiliation and murder that have permeated the film belonged to Neal all along. But there too is a problem, as the explanations offered for his motivations are psychologically fuzzy to say the least. The story owes us a better understanding of Franciosa's mind, his concealed madness and his sudden murderous rampage.
 For instance, a teenage boy and girl leave a hotel room and minutes later we see the girl riding off on the back of a motorbike. We would assume the rider is the same boy, but it turns out to be some male character we aren't even introduced too! That's careless filmmaking, pure and simple.
Why, you may ask, do I go on about the story's flaws? Because when it comes to visuals and set pieces, Argento is one of the most exciting filmmakers in the world. Take one of the extended scenes in TENEBRAE. An upset girl wandering the streets at night needlessly taunts a guard dog to the point where - almost unbelievably - it jumps a high fence and chases her across town. Finally, as she desperately seeks escape from this crazed canine, she accidentally stumbles on the serial killer's lair. It's an absolutely masterful sequence, tense and exciting, and communicating a wealth of information through visuals alone. And that's exactly the kind of thing that makes the flaws so frustrating. Too often, it seems, Argento's films as a whole are less than the sum of their impressive parts.
Mind you, if you love murder mysteries then TENEBRAE is still worth a look. And if you're a fan of Argento's unique style of giallo thriller then it's essential. See the uncut widescreen version if you can and drink in some of the wonderful cinematography by Luciano Tovoli. It's a stylish, great-looking and quirky film despite the problem narrative.
A shame, because it doesn't have to be that way. Take Argento's more recent STENDHAL SYNDROME (1992), where with the aid of co-writer Franco Ferrini he fashioned a solid storyline without sacrificing any of his surreal weirdness or visual panache. Proof that he CAN do it, if he tries...
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It is now time to integrate calls to the Cognitive Services that you created in the previous steps into the Xamarin application. These calls can be made directly from the app. An alternative design would be to host functionality on Azure to make these calls.
Goals for this task: Create new functionality to the previously created Camera Page which will call the Cognitive Services APIs and display the results to the user.
Grid
and other elements to display prediction results after calling Cognitive Services. Add the following snippet immediately below the Button
element:<Grid>
<Grid.ColumnDefinitions>
<ColumnDefinition Width="Auto" />
<ColumnDefinition Width="*" />
</Grid.ColumnDefinitions>
<Grid.RowDefinitions>
<RowDefinition Height="Auto" />
<RowDefinition Height="Auto" />
<RowDefinition Height="Auto" />
</Grid.RowDefinitions>

</Grid>
Open the code-behind file for CameraPage.xaml.
Add the following using
statements at the top of the file:
using System.Net.Http;
using System.Net.Http.Headers;
using System.IO;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
Navigate to the captureButton_Clicked
method and update the body with the following code to invoke the Custom Vision service and display the results.
Important: You must update the bolded lines shown below: replace the value used to set the Prediction-Key
header with the Prediction Key value you saved when you created your Custom Vision project in the earlier task. Additionally, you must replace the url
with the Prediction URL you saved after training your model:
var photoService = DependencyService.Get();
if (photoService != null)
{
var imageBytes = await photoService.TakePhotoAsync();
noseImage.Source = ImageSource.FromUri(new Uri(_nose.Image)); // set source of nose image
image.Source = ImageSource.FromStream(() => new MemoryStream(imageBytes));
imageGrid.IsVisible = true; // set visibility to true
// Invoke Cognitive Services to get predictions on the image
productTags.Text = "Predicting...";
productTagProbability.Text = "";
emotionTag.Text = "";
// Invoke the custom vision prediction api
var client = new HttpClient();
// Request headers - replace this example key with your valid subscription key.
client.DefaultRequestHeaders.Add("Prediction-Key", "63fe389c4f96433ba807ee948e7aa98f");
// Prediction URL - replace this example URL with your valid prediction URL obtained after training the model.
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/a2545d9c-f6e9-41d5-9807-28991bec747c/image?iterationId=2f51acdf-f96c-481c-af49-6cae71e7a2cb";
using (var content = new ByteArrayContent(imageBytes))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
var response = await client.PostAsync(url, content);
dynamic predictionResponse = await response.Content.ReadAsStringAsync()
.ContinueWith((readTask) => JsonConvert.DeserializeObject(readTask.Result));
productTags.Text = predictionResponse.Predictions[0].Tag;
productTagProbability.Text = (predictionResponse.Predictions[0].Probability.Value * 100).ToString();
}
}
Open the code-behind file for CameraPage.xaml.
captureButton_Clicked
method and update the body with the following code to invoke the Emotions API services and display the results.
Because we are now calling both the Custom Vision and Emotions API services, we do this in parallel to improve performance. Important: You must update the bolded lines shown below: replace the Ocp-Apim-Subscription-Key
header and url
value with the values from your Emotions API account that you saved in the previous task. Also in the code that calls the Custom Vision service, just as you did in the previous step, you must replace the value used to set the Prediction-Key
header with the Prediction Key value you saved when creating your own Custom Vision service, and the url
with the Prediction URL for your service again:
var photoService = DependencyService.Get();
if (photoService != null)
{
var imageBytes = await photoService.TakePhotoAsync();
noseImage.Source = ImageSource.FromUri(new Uri(_nose.Image)); // set source of nose image
image.Source = ImageSource.FromStream(() => new MemoryStream(imageBytes));
imageGrid.IsVisible = true; // set visibility to true
// Invoke Cognitive Services to get predictions on the image
productTags.Text = "Predicting...";
productTagProbability.Text = "";
emotionTag.Text = "";
// Invoke the custom vision prediction api
var customVisionTask = Task.Run(async () =>
{
var client = new HttpClient();
// Request headers - replace this example key with your valid subscription key.
client.DefaultRequestHeaders.Add("Prediction-Key", "63fe389c4f96433ba807ee948e7aa98f");
// Prediction URL - replace this example URL with your valid prediction URL obtained after training the model.
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/a2545d9c-f6e9-41d5-9807-28991bec747c/image?iterationId=2f51acdf-f96c-481c-af49-6cae71e7a2cb";
using (var content = new ByteArrayContent(imageBytes))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
var response = await client.PostAsync(url, content);
dynamic predictionResponse = await response.Content.ReadAsStringAsync()
.ContinueWith((readTask) => JsonConvert.DeserializeObject(readTask.Result));
return Tuple.Create(predictionResponse.Predictions[0].Tag, predictionResponse.Predictions[0].Probability.Value * 100);
}
});
// Invoke the Emotion API in parallel
var emotionTask = Task.Run(async () =>
{
var client = new HttpClient();
// Request headers - replace this example key with your valid key.
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "7af37d1e3e6048539c76274fd4c64d72");
// NOTE: You must use the same region in your REST call as you used to obtain your subscription keys.
// For example, if you obtained your subscription keys from westcentralus, replace "westus" in the
// URI below with "westcentralus".
string uri = "https://westus.api.cognitive.microsoft.com/emotion/v1.0/recognize";
using (var content = new ByteArrayContent(imageBytes))
{
// This example uses content type "application/octet-stream".
// The other content types you can use are "application/json" and "multipart/form-data".
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
var response = await client.PostAsync(uri, content);
dynamic detectionResponse = await response.Content.ReadAsStringAsync()
.ContinueWith((readTask) => JsonConvert.DeserializeObject(readTask.Result));
// See the format of the JSON response here: https://westus.dev.cognitive.microsoft.com/docs/services/5639d931ca73072154c1ce89/operations/563b31ea778daf121cc3a5fa
JObject scores = detectionResponse[0].scores;
var highestScore = scores.Properties().OrderByDescending(score => (double)((JValue)score.Value).Value)
.First();
return Tuple.Create(highestScore.Name, (double)((JValue)highestScore.Value).Value);
}
});
await Task.WhenAll(customVisionTask, emotionTask);
// Update the UI
productTags.Text = customVisionTask.Result.Item1;
productTagProbability.Text = customVisionTask.Result.Item2.ToString();
emotionTag.Text = emotionTask.Result.Item1;
}
Note: If your call to the Custom Vision service returns an empty array of predictions, check that you have substituted the Prediction Key value and the Prediction URL in the code, using the correct values for your own service.


U.S. tells U.N. it is quitting Paris climate deal: U.S. official
UNITED NATIONS (Reuters) - The United States notified the United Nations on Monday that it would withdraw from the Paris Agreement, said a U.S. State Department official, marking the first formal step in a one-year process to exit the global pact to fight climate change.