Tangram iOS SDK
The recommended way to use Tangram in an iOS project is to add it as a CocoaPods dependency. The library is hosted in CocoaPods under the pod name Tangram-es. To find the latest version, check CocoaPods: https://cocoapods.org/pods/Tangram-es. Then follow the instructions from CocoaPods on adding a pod to your Xcode project: https://guides.cocoapods.org/using/using-cocoapods.html.
That’s it! If you want to build Tangram for iOS from source instead, continue reading.
Setup
This project uses CMake (minimum version 3.2), you can download it here or use your favorite installation package tool like homebrew.
brew install cmake
Make sure to update git submodules before you build:
git submodule update --init
You can optionally install xcpretty to produce much prettier and more legible output during the build process:
gem install xcpretty
Build
You will need a Nextzen API key to use the vector-tile and terrain service that is being used from the stylesheet of the demo app. To get an API key visit: developers.nextzen.org.
Building the iOS demo application requires Xcode 9.0 or newer. From the root directory of the project, run:
make ios-xcode NEXTZEN_API_KEY=yourApiKeyHere
You can optionally append a BUILD_TYPE
variable to choose the build type, for example BUILD_TYPE=Debug
or BUILD_TYPE=Release
.
This will generate an Xcode project for the Tangram iOS framework and demo application and open the project in an Xcode workspace.
Note on Code Signing and Provisioning Profiles:
- For Simulator: Code signing is not required, so you can ignore any signing errors in target TangramDemo > General > Signing.
- For Device: You will have to modify the Bundle Identifier in target TangramDemo > General > Identity > Bundle Identifier to something other than
com.mapzen.ios.TangramDemo
, since App IDs are associated with a specific signing identity.
iOS Binary Framework
To build an iOS binary framework bundle compiled for iOS devices, run:
make ios-framework
The framework will be output in ‘/build/ios/CONFIG-iphoneos/’, where CONFIG is ‘Release’ or ‘Debug’ according to the build type.
To build a universal binary framework compiled for both iOS devices and the iOS simulator, run:
make ios-framework-universal
The framework will be output in ‘/build/ios/CONFIG-universal/’, where CONFIG is ‘Release’ or ‘Debug’ according to the build type.


--- layout: page title: Hi, I'm Junde Li use-site-title: true ---
Welcome to my personal homepage!
I am a machine learning compiler engineer at Cadence Design Systems. I am interested in quantum machine learning, neural network quantization and large language models.
I recently received my PhD degree in Department of Computer Science and Engineering at Penn State University, where I worked on Machine Learning and Quantum Computing with Dr. Swaroop Ghosh in LOGICS group.
Earlier, I got my Master's degree from City University of Hong Kong and Bachelor's degree from Qingdao University, respectively.
Email<EMAIL_ADDRESS>Github:


Asserts that at least one of the nested tasks throws a BuildException.
| Attribute | Description | Required |
| message | Message for the exception if the condition doesn't hold true. Defaults to "Expected build failure" if expectedMessage hasn't been specified or "Expected build failure with message 'expectedMessage' but was 'actualMessage'" if it has been specified and a different exception has been thrown. | No. |
| expectedMessage | Used to assert a specific exception message. The string will be looked for (case-sensitive) in the fault string; | No. |
You can use all supported tasks and types as nested element of this task.
Make the build fail with the message "expected build failure with message='failed' but was 'passed'":
<expectfailure expectedMessage="failed"> <fail>passed<fail> </expectfailure>
Make the build fail with the message "expected build failure" because the nested task doesn't cause a build failure:
<expectfailure> <echo>BUILD FAILED</echo> </expectfailure>


The marriage of
Natalie Milor
&
Drew Jess
Polloksheilds Burgh Hall
70 Glencairn Drive
Glasgow
G41 4LL
Saturday
March 24th 2018
Ceremony starts at 2pm
Arrive from 1:30pm
Map of venue
Hotels
Cafes, Bars & Restaurants


Some folks (especially those that work with me professionally with code) know me as Łukasz, I use "dreat" on the web. I'm a:
- Software monk with 7+ years of experience (formerly .Net, currently Elixir)
- Drummer. I've been playing for a long time and my experience is mostly with local garage bands. Slowly growing into bigger ponds.
- Music producer. Mostly Dark Ambient but I can (and sometimes do) other genres as well. Most experience with Ableton, but learning more hardware oriented setup now
- Rollerskater and roller derby player
- Conference speaker (Open Source Summit 2019, NTPM 2020, ABE 2021 as for now)
- One of the driving forces behind HS3city and 3city Elixir User Group
- mediocre Norwegian speaker and beginner Korean speaker
- Huge nerd
Feel free to contact me @
- EMail<EMAIL_ADDRESS>- Twitter: @dreat_
- Instagram: @dreat_nihil
- You can always drop by for a chat on my whereby room (be sure to notify me earlier)


Hang in there. It may take a minute for the inventory to load.
To place an order, please contact John Shutt at john.d.shutt@gmail.com.


Convert Units of Measurement
Original:
Metres
Inches
Centimetres
Feet
Convert to:
Metres
Inches
Centimetres
Feet
New Value:
Submit Calculation...


Welcome to D-linker
A social media platform to support doctors
HOME
ARTICLES
PORTFOLIO
ABOUT
CONTACT


Canvas will appear at bottom of this page ...
Scenario: testing scrawl.addCanvasToPage()
Actions:
- create a new canvas element and attach it to document.body
- create phrase sprite and associate it with canvas element's Cell wrapper
- display phrase sprite on canvas element
Known browser issues: none
Result images:


Design and Implementation of Mapping Robot Using Ultrasonic Sensor
Inventory Management System
Web based System Details Management
Banking Database
Backend(Sql) of Banking Structure
Placeholder
Placeholder Description
Placeholder
Placeholder Description
Placeholder
Placeholder Description
About
Hello, I'm Vamsheeth Vadlamudi; a self-taught web developer with extensive practical experience in building webpages using HTML/CSS. Besides coding, I love playing VolleyBall.


Lapack documentation
Purpose
=======
DGTSV solves the equation
A*X = B,
where A is an n by n tridiagonal matrix, by Gaussian elimination with
partial pivoting.
Note that the equation A'*X = B may be solved by interchanging the
order of the arguments DU and DL.
Arguments
=========
N (input) INTEGER
The order of the matrix A. N >= 0.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number of columns
of the matrix B. NRHS >= 0.
DL (input/output) DOUBLE PRECISION array, dimension (N-1)
On entry, DL must contain the (n-1) sub-diagonal elements of
A.
On exit, DL is overwritten by the (n-2) elements of the
second super-diagonal of the upper triangular matrix U from
the LU factorization of A, in DL(1), ..., DL(n-2).
D (input/output) DOUBLE PRECISION array, dimension (N)
On entry, D must contain the diagonal elements of A.
On exit, D is overwritten by the n diagonal elements of U.
DU (input/output) DOUBLE PRECISION array, dimension (N-1)
On entry, DU must contain the (n-1) super-diagonal elements
of A.
On exit, DU is overwritten by the (n-1) elements of the first
super-diagonal of U.
B (input/output) DOUBLE PRECISION array, dimension (LDB,NRHS)
On entry, the N by NRHS matrix of right hand side matrix B.
On exit, if INFO = 0, the N by NRHS solution matrix X.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,N).
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, U(i,i) is exactly zero, and the solution
has not been computed. The factorization has not been
completed unless i = N.
function dgtsv
extends Modelica.Icons.Function;
input Real superdiag[:];
input Real diag[size(superdiag, 1) + 1];
input Real subdiag[size(superdiag, 1)];
input Real B[size(diag, 1), :];
output Real X[size(B, 1), size(B, 2)] = B;
output Integer info;
end dgtsv;
Generated at 2019-01-25T16:44:03Z by OpenModelica 1.14.0~dev-130-gefa44fb


--- title: Title keywords: fastai sidebar: home_sidebar summary: "summary" description: "summary" ---
The aim of this notebook is to provide a low tech overview over MAB solvers, specifically A/B testing and Thompson Sampler. Others such as Epsilon Greedy and UCB MIGHT follow, but since TS is relatively undisputed when it comes to decision making for a couple of reasons, this might not happen.
We will first look at the problem at hand, the Multi Armed Bandit and how we can emulate an environment that houses one. Then we turn towards the classical solution to MABs: A/B testing. Through the evaluation of some of it's weaknesses stemming from the distinction between exploration and exploitation phase, we will arrive at a theoretical construct that already almost resembles Thompson Sampling, from where it is an easy jump to the full thing.
This notebook is aimed at people looking to apply TS with a working understanding of what it does but foregoes the mathematical descriptions and proofs necessary to argue for TS in an academic setting.
Note that we're focussing on the simplest use case imaginable, which means we can use simple beta-binomial distribution to compute our thompson sampling. This is does little more than elaborate counting AND STILL it is useful for outshining A/B tests in a categorical case.
Note also that we stripped anything complex from the notebook to focus on the underlying concepts rather than, say, computing how many people we need in our groups to get statistically significant (a concept we're also ignoring because... Bayes Rule(s)!).
In the multi armed bandit setting, we are tasked with finding the best performing action out of a selection of possible actions. An example could be the color of a button on a website. We could make it Blue or Yellow. Our theories are that Blue is easier to see but Yellow is a more inviting color. We now have to figure out which of these effects is stronger, i.e. which button color gets clicked more often(1).
We do not know which theory is correct, and, unfortunately, we will never KNOW which button is better, since for that we'd need to know what would have happened if the users that saw yellow were presented with blue and vice versa, for all eternity. Maybe the users that saw it so far preferred yellow because it was summer. Or the background of an ad that popped up made it very hard to see the blue button. This is, in essence, what we refer to as the dilemma of 'Exploration vs Exploitation': Do we rely on the information we have available to make a decision or do we want to collect more data so that our future decisions will be a better informed one?
In this Notebook, we want to look at a few possible solutions to this problem.
To do so, we need to simulate a situation in which a customer makes a choice we do not know up front, since we don't have actual customers to ask. To do that, we generate an 'average customer'. This average customer is going to react to the color of the button with probabilities proportional to how the real population MIGHT react (this is of course simulated). This value is stored in our variable 'Theta'; it reflects how likely the general population is to click on a blue vs a yellow button. We convert this probability to a reaction by sampling a number between 0 and 1 and comparing it to the theta value for that choice, see customer_reaction().
(1) This is not a real life situation, in which we might take into account different additional parameters such as page background - which we'd optimally test, too.
import numpy as np
from thompson_sampling.helpers import showcase_code
from thompson_sampling.multi_armed_bandits import non_contextual_categorical_bandit
showcase_code('thompson_sampling/multi_armed_bandits.py',method_name = 'non_contextual_categorical_bandit')


📝 My Links
1:47 PM
John Doe
A nice text about me
My hobbys
My CV
My Theatre
My hobbys
My CV
My Theatre
My hobbys
My CV
My Theatre
My hobbys
My CV
My Theatre
My hobbys
My CV
My Theatre
My hobbys
My CV
My Theatre


You are Cordially Invited to Our Wedding
The son of Ahmad and Asniwati, the fifth of sixth.
The beloved daughter of Joni Yanwar and Kaniawati, the second of sixth.
The son of Ahmad and Asniwati, the fifth of sixth.
The beloved daughter of Joni Yanwar and Kaniawati, the second of sixth.
 Abu Dawud no. 2130).
Masjid Darussalam RT. 9 / RW. 7, Malaka Sari, Kec. Duren Sawit, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta.
Masjid Darussalam RT. 9 / RW. 7, Malaka Sari, Kec. Duren Sawit, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta.
Our mediators are our ustadz n ustadzah.
We write anything about ourself detail. So he/she got the description almost perfect.
In this part, ask Allah what's best for us. Don't fall in love to him/her for a start, but love Allah first. So we will surrender to what Allah has determined for us long ago.
Make sure that your potential mate is your potential type.
People can never be so sure, but you have to choose as close as your type by being honest to yourself.
The meeting is to check whether your choice is correct. Usually we will get affirmation about our feeling in this part.
Collect a lot of information about your potential mate, for example how he/she is in his family, how he/she want for this marriage, how he/she react if he get mad, etc.
To enter this part you have to be sure you really want to marry the one you have chosen. Because this will bring your loving persons such as mom, dad, and whole family to get involved in your marriage plan.
This could based on family meeting, or just on woman's parent wish.
All of this procedure are not rigid. We just tell you what we've been through. Every couple are unique, just do the things right so Allah will bless your intention
Just believe for every Allah's plan.
With highly respect, please note some things:
Keep distance with non mahram
Be seated while eating and drinking
Keep our "aurat" with syar'i clothes
Please Fill-up the form to notify you that you're attending. Thanks.
Masjid Darussalam RT. 9 / RW. 7, Malaka Sari, Kec. Duren Sawit, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta.
Beberapa jenis transportasi yang dapat Anda gunakan:
Turun Stasiun Klender Baru lalu naik angkot 20 (K20) turun di wijaya kusuma 2 jalan kaki sampai ke lokasi.


Devil's Isle Survivor:
Keep your eyes open for someone who can help you there. Good luck -- we're all counting on you!


Gionee is Back, with a Flip Phone - Meet the Gionee A326 - Gizchina.com
by PierreGionee is Back, with a Flip Phone – Meet the Gionee A326
1.8 (36%) 5 votes
In August of this year, the once-bankrupt Chinese phone maker Gionee suddenly “resurrected”. According to reports, the two major shareholders of the company organized a roundtable with agents from several provinces across the country, hoping to start from scratch. The new slogan of “gold quality and the world” was also established at the conference.
Gionee is Back with a Flip Phone, Meet the Gionee A326
Subsequently, Gionee’s official website was back online and on September 25th the K3 was launched. The smartphone equipped a 6.2-inch notch screen, a MediaTek Helio P23 processor with 8-core A53 architecture, a 5000mAh battery a dual rear cameras. The Gionee K3 was available in a 4GB / 64GB variant for a starting price of 799 Yuan ($115).
Today, after a lapse of more than a month, the official account of Gionee Mobile published a new post. It said: “Classic flip phone, an unattainable height”. Yes, Gionee just launched a new flip phone, the Gionee A326. The company then added that the A326 represents a come back to the classics that made Gionee great.
The Gionee A326 itself doesn’t appear to sport any special feature aside from the clamshell design. Its shape is very squarish, it has a small size screen inside with the keypad at the bottom. Meanwhile outside we find an even smaller display for quick notifications.
The phone will be available in various color variants. These include: Twilight Black, Starry Blue, Elegant Red and Walkin. Other details and prices haven’t been announced yet.
Well, what can we say? We’re glad Gionee is back, even though with devices like the A326 that’s not probably be for long.
What do you guys think about flip-phones in 2019? Is there any use for them? Let us know down below!


"I can't thank you enough for all that you did last night - it exceeded my expectations!!! Absolutely awesome. Everyone was talking about the lighting and "images" , including our director. And the fireworks - perfect! They loved it."
- Tina Karl, Special Events Manager, Natural History Museum
{{ cms.testimonial.quote }}
{{ cms.testimonial.name }}


/media/playlists
gets list of all playlists
/media/playlists/ID
gets properties of a playlist with the id=ID
/media/playlists/ID/playlists
gets list of playlists of a playlist folder with the id=ID. Errors if not a folder.
/media/playlists/ID/tracks
gets list of tracks of a playlist with the id=ID
/media/playlists/ID/tracks/ID
gets properties of a track with the given ID of a playlist with the id=ID
/media/playlists/ID/tracks/ID/file
gets file content of a track with the given ID of a playlist with the id=ID
If requests have a result of an array of the resources the header X-Count contains length of the result. Use HEAD method to estimate the request cost.
If requests have a file as the result then the header X-Loction contains path of the file inside iTunes Library. Use HEAD method to if necessary.


Finger Paint began as an experiment with artistic brush effects and then became a real typeface.
Learn more at carrois.com


60-year-old held at airport for posing as 44-year-old
She was travelling to the UAE
by Special CorrespondentImmigration officials in Bengaluru on Saturday caught a 60-year-old woman from Ernakulam, Kerala, while she was allegedly attempting to fly to Sharjah in the UAE using a passport in which she had forged her date of birth.
The accused Mary Thazhuthrath Parambil Peter told the officials that she was going to Sharjah on a tourist visa to look for a job. “However, there is an age limit for those applying for jobs in the United Arab Emirates, so she approached a tout in Cochin who tampered with her passport to change her date of birth. She presented herself as 44 years old and was hoping to get a job as a domestic help,” said a senior official.
Mary was charged under various sections of the Passport Act and remanded in judicial custody.
In another incident, officials have taken into custody a 25-year-old engineer, also from Ernakulam, who landed at KIA from Kuala Lumpur in Malaysia on Saturday. The accused, Antony Farison, had allegedly got fake immigration stamps of Malaysia and Indonesia on his passport. “We have taken him into custody for further investigation,” said an official.


Ellicott City experienced historic flooding on Saturday July 30 as 6.5 inches of rain was dumped on the area. The deluge sent a wave of floodwaters into the historic downtown area where it caused massive damage to businesses and homes, swept cars downhill and killed at least two people. Click here to see an interactive timeline of the flooding.
8/1/2016
Ellicott City is located in Howard County and includes a historic downtown near the Patapsco River. Main Street, where much of the flooding occured, is located in a valley surrounded by streams and tributaries running into the Patapsco River.
Reported rain totals for the storm from around the area
6.5 inches of total rainfall was reported in Ellicott City during the storm. The rain fell very heavily at times, including over 4.5 inches of rain falling in an hour between 7:30 and 8:30 pm. Here are the heaviest rainfall totals within given increments of time.
| Duration | Amount | Timeframe |
|---|---|---|
| 1 minute | .20 in | 7:51-7:52 p.m. |
| 5 minutes | 0.80 in | 7:50pm-7:55pm |
| 10 minutes | 1.44 in | 7:50pm-8:00pm |
| 15 minutes | 2.04 in | 7:46pm-8:01pm |
| 20 minutes | 2.48 in | 7:44pm-8:04pm |
| 30 minutes | 3.16 in | 7:36pm-8:06pm |
| 60 minutes | 4.56 in | 7:30pm-8:30pm |
| 90 minutes | 5.52 in | 7:00pm-8:30pm |
| 2 hours | 5.92 in | 6:45pm-8:45pm |
Much of the damage was a result of flooding from the nearby Patapsco River, the flow of which is regulated by Liberty Reservoir (approximately 18 miles upstream). Water levels on the Patapsco River on July 30 reached over 25 feet high (compared to normal water levels of 10-15 feet), according to a nearby gage maintained by the USGS.
The same water gage measured over 30,000 cubic feet of water-per-second being discharged from the Patapsco River on July 30 during the storm, as compared to around 50 cubic feet of water-per-second being discharged on July 25-27.
According to the same gage on the Patapsco, the river in that area reached new heights. The last major flood to hit Ellicott City was in 2011, and this one was about 3 feet higher, said Jason Elliott, a hydrologist with the National Weather Service's Baltimore/Washington forecast office. The Patapsco river levels peaked in 2011 at 25.17 feet and Saturday's flood reached 27.14 feet.
4.5 inches of rain fell within one hour, from 7:30 p.m. to 8:30 p.m.
6.5 total inches of rain fell on Ellicott City during the storm
The Patapsco River rose 14 feet from about 7:20 p.m. to 9 p.m.
The storm claimed 2 victims
Jessica Watsula of Lebanon, Pa
Joseph Anthony Blevins of Windsor Mill
4 to 5 buildings on Main Street were totally destroyed
20 to 30 buildings had significant damage
About 170 cars were being towed from the area to Centennial High School
This was the worst storm in Howard County since Tropical Storm Agnes in 1972


Classes
The following classes are available globally.
-
Undocumented
See more
-
Undocumented
See more
-
This class was designed and implemented to define a StretchSense sensor
Note
The OneSensor is defined by a unique identifier UUID, the present value and an array of the 50 previous values and his color
See more// Exemple: Display the sensors connected in a table func tableView(tableView: UITableView, numberOfRowsInSection section: Int) -> Int { // This fonction give the number of row in the table return stretchsenseObject.getNumberOfDeviceConnected() } func tableView(tableView: UITableView, cellForRowAtIndexPath indexPath: NSIndexPath) -> UITableViewCell { // This function is called for each row in the table // The row number of the table is define with his indexPath.row // The current cell let cell = tableView.dequeueReusableCellWithIdentifier("Cell", forIndexPath: indexPath) as UITableViewCell // The current peripheral let myPeripheral = listPeripheralsConnected[indexPath.row] // display the title: value of the sensor cell.textLabel?.text = myPeripheralConnected.value // display the subtitle: color name of the sensor cell.detailTextLabel?.text = myPeripheral.colors[myPeripheral.uniqueNumber].colorName // display the background color of the cell: color of the sensor cell.backgroundColor = myPeripheral.colors[myPeripheral.uniqueNumber].valueRGB }
Declaration
Swift
class OneSensor
-
StretchSenseClass
The StretchSense library define all the fonctions to paired the StretchSense Fabric Sensor to your iOS application
Copyright
2016 StretchSense
Date
19/05/2016
Version
1.0.0
Note
On the StretchSenseClass you can find several list of peripherals (available, connected, saved), the number of sensors, the settings values (number of sample to display, sampling time, average filtering value) and the feedback informations
See more//Exemple class ViewController: UIViewController { var stretchsenseObject = StretchSenseClass() override func viewDidLoad() { // This function is the first function called by the View Controller super.viewDidLoad() // Init the StretchSense Library and Bluetooth stretchsenseObject.startBluetooth() // Start Scanning new peripheral stretchsenseObject.startScanning() } @IBAction func connect(sender: AnyObject) { stretchsenseObject.startScanning() // Get all the peripheral available var listPeripheralAvailable = stretchsenseObject.getListPeripheralsAvailable() // Explore all the peripheral available for myPeripheralAvailable in listPeripheralAvailable{ // Connect all the peripheral available stretchsenseObject.connectToPeripheralWithCBPeripheral(myPeripheralAvailable) print(myPeripheralAvailable) } } @IBAction func printValue(sender: AnyObject) { // Get all the peripheral connected var listPeripheralConnect = stretchsenseObject.getListPeripheralsConnected() // Explore all the peripheral connected for myPeripheralConnected in listPeripheralConnect{ // Print the value of all the peripheral connected print(myPeripheralConnected.value) } } }
Declaration
Swift
class StretchSenseClass: NSObject, CBCentralManagerDelegate, CBPeripheralDelegate
-
Undocumented
See more
-
Undocumented
See more
-
Undocumented
See more
-
Undocumented
See more
-
Undocumented
See more
-
Undocumented
See more
-
Undocumented
See more


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GeomUtil
| Kind of class: | public class |
|---|---|
| Package: | |
| Inherits from: |
|
| Version: | 05/11/11 |
| Author: | Aaron Clinger, Jon Adams |
| Classpath: | org.casalib.util.GeomUtil |
| File last modified: | Friday, 20 May 2011, 00:59:45 |
► View source▼ Hide source
/* CASA Lib for ActionScript 3.0 Copyright (c) 2011, Aaron Clinger & Contributors of CASA Lib All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. - Neither the name of the CASA Lib nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ package org.casalib.util { import flash.geom.Point; import flash.geom.Rectangle; import org.casalib.util.ConversionUtil; import org.casalib.util.NumberUtil; /** Utilities for positioning, calculating and manipulating geometeric shapes and points. @author Aaron Clinger @author Jon Adams @version 05/11/11 */ public class GeomUtil { /** Rotates aPoint
around anotherPoint
by the specified angle. @param point: ThePoint
to rotate. @param centerPoint: ThePoint
to rotate thePoint
around. @param angle: The angle (in degrees) to rotate thePoint
. */ public static function rotatePoint(point:Point, centerPoint:Point, angle:Number):void { const radians:Number = ConversionUtil.degreesToRadians(angle); const baseX:Number = point.x - centerPoint.x; const baseY:Number = point.y - centerPoint.y; point.x = (Math.cos(radians) * baseX) - (Math.sin(radians) * baseY) + centerPoint.x; point.y = (Math.sin(radians) * baseX) + (Math.cos(radians) * baseY) + centerPoint.y; } /** Determines the angle/degree between the first and secondPoint
. @param first: The firstPoint
. @param second: The secondPoint
. @return The degree between the two points. */ public static function angle(first:Point, second:Point):Number { return Math.atan2(second.y - first.y, second.x - first.x) / (Math.PI / 180); } /** Places aPoint
randomly within a defined area. @param area: The area in which to randomly place thePoint
. @param snapToPixel: If thePoint
should only be placed on whole pixelstrue
, or allow placement on sub-pixelsfalse
; defaults totrue
. @return A randomly placedPoint
within the defined bounds. */ public static function randomlyPlacePoint(area:Rectangle, snapToPixel:Boolean = true):Point { if (snapToPixel) return new Point(NumberUtil.randomIntegerWithinRange(Math.ceil(area.x), Math.floor(area.right)), NumberUtil.randomIntegerWithinRange(Math.ceil(area.y), Math.floor(area.bottom))); return new Point(NumberUtil.randomWithinRange(area.x, area.right), NumberUtil.randomWithinRange(area.y, area.bottom)); } /** Places aRectangle
randomly within a defined area. @param area: The area in which to randomly place theRectangle
. @param rect: TheRectangle
to randomly place within the bounds. @param snapToPixel: If theRectangle
should only be placed on whole pixelstrue
, or allow placement on sub-pixelsfalse
; defaults totrue
. @return A new randomly placedRectangle
within the defined bounds. @throwsError
if the area is too small to contain theRectangle
. */ public static function randomlyPlaceRectangle(area:Rectangle, rect:Rectangle, snapToPixel:Boolean = true):Rectangle { const zone:Rectangle = area.clone(); const size:Rectangle = rect.clone(); size.x = area.x; size.y = area.y; if ( ! zone.containsRect(size)) throw new Error('Area needs to be large enough to contain the rectangle.'); zone.right -= size.width; zone.bottom -= size.height; const point:Point = GeomUtil.randomlyPlacePoint(zone, snapToPixel); return new Rectangle(point.x, point.y, rect.width, rect.height); } /** Takes the providedRectangle
and returns a newRectangle
that is flipped (width becomes height, height becomes width). @param rect: TheRectangle
to flip. @return A newRectangle
that is flipped. @usageNote TheRectangle
's X and Y are unaffected. */ public static function flipRectangle(rect:Rectangle):Rectangle { return new Rectangle(rect.x, rect.y, rect.height, rect.width); } /** Calculates the perimeter of aRectangle
. @param rect:Rectangle
to determine the perimeter of. @return TheRectangle
's perimeter. */ public static function getRectanglePerimeter(rect:Rectangle):Number { return rect.width * 2 + rect.height * 2; } /** Takes any degree value and returns the normalized 0-360 degree equivalent. @param degree: The degree to normalize. @return Returns a degree value between0
and360
. @exampletrace(GeomUtil.normalizeDegree(-90)); // Traces "270" trace(GeomUtil.normalizeDegree(1080)); // Traces "0"
*/ public static function normalizeDegree(degree:Number):Number { degree %= 360; return (degree < 0) ? degree + 360 : degree; } /** Determines the shortest distance and direction between two degrees. @param startDegree: The first degree. @param endDegree: The second degree. @return Returns a degree value between-180
and180
. @exampletrace(GeomUtil.distanceBetweenDegrees(45, 100)); // Traces "55" trace(GeomUtil.distanceBetweenDegrees(270, 10)); // Traces "100" trace(GeomUtil.distanceBetweenDegrees(0, 190)); // Traces "-170"
*/ public static function distanceBetweenDegrees(startDegree:Number, endDegree:Number):Number { const start:Number = GeomUtil.normalizeDegree(startDegree); const end:Number = GeomUtil.normalizeDegree(endDegree); const dif:Number = Math.abs(start - end); var dis:Number = (dif > 180) ? 360 - dif : dif; if (end != GeomUtil.normalizeDegree(start + dis)) dis *= -1; return dis; } } }
Utilities for positioning, calculating and manipulating geometeric shapes and points.
Summary
Class methods
-
rotatePoint
(point:Point, centerPoint:Point, angle:Number) : void
- Rotates a Point around another Point by the specified angle.
-
angle
(first:Point, second:Point) : Number
- Determines the angle/degree between the first and second Point.
-
randomlyPlacePoint
(area:Rectangle, snapToPixel:Boolean = true) : Point
- Places a Point randomly within a defined area.
-
randomlyPlaceRectangle
(area:Rectangle, rect:Rectangle, snapToPixel:Boolean = true) : Rectangle
- Places a Rectangle randomly within a defined area.
-
flipRectangle
(rect:Rectangle) : Rectangle
- Takes the provided Rectangle and returns a new Rectangle that is flipped (width becomes height, height becomes width).
-
getRectanglePerimeter
(rect:Rectangle) : Number
- Calculates the perimeter of a Rectangle.
-
normalizeDegree
(degree:Number) : Number
- Takes any degree value and returns the normalized 0-360 degree equivalent.
-
distanceBetweenDegrees
(startDegree:Number, endDegree:Number) : Number
- Determines the shortest distance and direction between two degrees.
Class methods
angle
static function angle(first:Point,
second:Point) : Number
Determines the angle/degree between the first and second Point
.
Parameters
first :The first
Point
.
second:The second
Point
.
Returns
- The degree between the two points.
distanceBetweenDegrees
static function distanceBetweenDegrees(startDegree:Number,
endDegree:Number) : Number
Determines the shortest distance and direction between two degrees.
Parameters
startDegree:The first degree.
endDegree :The second degree.
Example
-
trace(GeomUtil.distanceBetweenDegrees(45, 100)); // Traces "55" trace(GeomUtil.distanceBetweenDegrees(270, 10)); // Traces "100" trace(GeomUtil.distanceBetweenDegrees(0, 190)); // Traces "-170"
Returns
-
Returns a degree value between
-180
and180
.
flipRectangle
static function flipRectangle(rect:Rectangle) : Rectangle
Takes the provided Rectangle
and returns a new Rectangle
that is flipped (width becomes height, height becomes width).
Parameters
rect:The
Rectangle
to flip.
Returns
-
A new
Rectangle
that is flipped.
Usage note
-
The
Rectangle
's X and Y are unaffected.
getRectanglePerimeter
static function getRectanglePerimeter(rect:Rectangle) : Number
Calculates the perimeter of a Rectangle
.
Parameters
rect:
Rectangle
to determine the perimeter of.
Returns
-
The
Rectangle
's perimeter.
normalizeDegree
static function normalizeDegree(degree:Number) : Number
Takes any degree value and returns the normalized 0-360 degree equivalent.
Parameters
degree:The degree to normalize.
Example
-
trace(GeomUtil.normalizeDegree(-90)); // Traces "270" trace(GeomUtil.normalizeDegree(1080)); // Traces "0"
Returns
-
Returns a degree value between
0
and360
.
randomlyPlacePoint
static function randomlyPlacePoint(area:Rectangle,
snapToPixel:Boolean = true) : Point
Places a Point
randomly within a defined area.
Parameters
area :The area in which to randomly place the
Point
.
snapToPixel:If the
Point
should only be placed on whole pixels true
, or allow placement on sub-pixels false
; defaults to true
.
Returns
-
A randomly placed
Point
within the defined bounds.
randomlyPlaceRectangle
static function randomlyPlaceRectangle(area:Rectangle,
rect:Rectangle,
snapToPixel:Boolean = true) : Rectangle
Places a Rectangle
randomly within a defined area.
Parameters
area :The area in which to randomly place the
Rectangle
.
rect :The
Rectangle
to randomly place within the bounds.
snapToPixel:If the
Rectangle
should only be placed on whole pixels true
, or allow placement on sub-pixels false
; defaults to true
.
Returns
-
A new randomly placed
Rectangle
within the defined bounds.
rotatePoint
static function rotatePoint(point:Point,
centerPoint:Point,
angle:Number) : void
Rotates a Point
around another Point
by the specified angle.
Parameters
point :The
Point
to rotate.
centerPoint:The
Point
to rotate the Point
around.
angle :The angle (in degrees) to rotate the
Point
.


Total Power Consumption
Overview of Consumption
Hourly Consumption of Each Appliance
Comparison of Daily Consumption of Each Appliance
Visualization of Power Consumption of a residence. Refrigerator, Stove/Oven, Dishwasher, Microwave, Washer + Dryer and the lighting power data of a house is visualized below. There are certain missing values and high values which are regarded as anomalies. We have left them as is in the vizualization since it is a more accurate representation of the data collected from the real world. The dataset used is provided by Dr. Patrick Mantey
| Members | Data Sources | Visualization Sources |
|---|---|---|
Abhiram Madenur Venkatesha |
Dataset | Pie Chart |
Tanay Parekhji |
Reference Energy Disaggregation Dataset (REDD) | Stacked Area Chart |
| Heat Map |


Properties palette basic tests (part 1)
Common properties
Steps
- Standard setup things: Clear the browser cache. Launch the Maqetta server.
Login if necessary.
In some cases, you'll want to a virgin user environment by creating a whole new user login.
- Issue a "New HTML File" command.
- Make the Properties palette visible.
- Drag a Button onto the canvas.
- Using the 'id' and 'class' fields at the top of the Properties palette,
and 'title' under Common properties, type in values for id, class and title.
- Click on split view icon. Verify that source code shows the values for the above properties.
- Save, close, reopen.
- Click on split view icon. Verify that source code shows the values for the above properties.
Expected results
- In source pane, find the markup for the Button. you should see the values you supplied as the attribute values for 'id', 'class' and 'title'.
Widget-specific
Steps
- Standard setup things: Clear the browser cache. Launch the Maqetta server.
Login if necessary.
In some cases, you'll want to a virgin user environment by creating a whole new user login.
- Issue a "New HTML File" command.
- Make the Properties palette visible.
- Drag a Button, a TextBox and an HTML DIV onto the canvas.
- Select the Button, then the TextBox, then the DIV. The widget-specific property list should change based on the widget.
- Type in values for the various widget-specific properties.
- Click on split view icon. Verify that source code shows the values for the above properties.
- Save, close, reopen.
- Select the Button, then the TextBox, then the DIV.
- Click on split view icon. Verify that source code shows the values for the above properties.
Expected results
- As you change widget-specific properties, the new values should be reflected in the visual appearance of the widget on the canvas.
- Upon re-opening the file, the widget-specific properties that you entered should show in the Properties palette as you select each widget.
- The widget-specific properties should appear in the HTML markup for each widget.
Events properties
Steps
- Standard setup things: Clear the browser cache. Launch the Maqetta server.
Login if necessary.
In some cases, you'll want to a virgin user environment by creating a whole new user login.
- Issue a "New HTML File" command.
- In Firefox, open Firebug and show the console. In Chrome, open up the JavaScript console.
- Make the Properties palette visible.
- Drag two TextBoxes onto the canvas.
- For one of the TextBoxes, type in "console.log('something or other')" for each of the click, mouse and focus/blur event fields.
- Click on the "Save" icon on the main toolbar to save the new file. The asterisks that indicates that the file is "dirty" should go away.
- Click on the "X" close button for the editor tab for this file
- In the Files palette, double-click on the file you just created to re-open the file.
- Click Preview in Browser on the toolbar.
- In the browser preview, move the mouse over and out of the TextBox, and change the focus between the TextBoxes.
Expected results
- You should see the console.log() messages you put into the event fields. (Note: for Chrome, you have to make sure that
the developer tools window is working against the preview in browser tab instead of Maqetta itself.)


GODZILLA (1998) A Film Review by Ted Prigge Copyright 1998 Ted Prigge
Director: Roland Emmerich Writers: Roland Emmerich and Dean Devlin (story by Emmerich, Devlin, Ted Elliott, and Terry Rossio) Starring: Matthew Broderick, Jean Reno, Maria Pitillo, Hank Azaria, Kevin Dunn, Harry Shearer, Michael Lerner, Lorry Goldman, Vicki Lewis, Doug Savant, Arabella Field
All "Godzilla" needs to really be is 2 hours of big, loud, entertainment that somehow taps in to the part of our psyche that loves to be frigthened by cataclysmic scares, and soothed by massive destruction (preferably of Manhattan). I won't say this for many films, but when I heard they were making this flick, all I wanted was a couple semi-interesting characters there for some human and comic relief, and a whole lot of destruction.
We get a little bit of this towards the end, when, in the last, oh, 30 minutes, the film takes off into a visceral, intense, and downright thrilling experience, thanks to a twist in the story where the four main protagonists find what has to be about a hundred Godzilla eggs in Madison Square Garden, all within seconds of hatching. From this point on, the film takes off into, yes, a rip-off of "Jurassic Park," but still an edge-of-your-seat rollar coaster ride of gradual tension, not meaning that the tension increases, but that the quality of the tension increases. By the time the four protaonists have hopped into a cab and are driving as fast as they can from a pursuing Godzilla, I was actually pretty into the film.
 Do we need a half-assed romantic subplot? Do we need all the cheap attacks on Godzilla if they're not riveting? Here's a film with about 160 million or so dollars, with a great locale, and they do almost nothing with it.
Director Roland Emmerich and Producer Dean Devlin, the guys behind the shitty "Stargate" and the fun-ONLY-if-you're-in-a-packed-theater-of-participating-members "Independence Day," have written and crafted the film, but the real brilliance behind the film is in the advertising. For a year, anyone who's seen a movie in a theater has been munundated with countless teaser trailers for this flick, which featured only scattered, brief shots of the beast, and ensured that when the film actually arrived, it would be big, no matter what the story is. You ask someone if they're going to see "Godzilla," and they say, "yeah," but if you ask them why, they can't answer that. Hell, I paid to see this and I don't know why I bothered.
This would be all cool if the film delivered. James Cameron teased audiences similarly in 1990 to 1991 for his sequel to "The Terminator," but at least he delivered a film which is one of the most amazing cinematic experiences of the decade...and he was able to squeeze in tons of breathtaking, intense action while still creating characters we care about, and even lots of depth on humanity. "Godzilla," for all its hype and grandness, is suprisingly bland and dull.
That goes for Godzilla himself, as well. Emmerich and Devlin sure have a knack for stealing ideas for their big delivieries, making them come off as nothing short of anticlimactic. In "Stargate," the military guys travel through a warp through billions of light years to arrive in...an Egyptian desert...populated by humans. In "Independence Day," the aliens travel light years to conquer Earth, and when we see them, they're...octopus men. When we see finally see Godzilla after all the quick tease shots of him, building up the first real look at him, he's...Tyranosaurus Rex. Sure, the old Godzilla was a man in a plastic costume, and this is a multi-million dollar special effect that looks real, but it has lost all its wit in the process. Gone is the face that shoots up, and the perfectly erect back, and the firebreathing done without so much as leaning over, and here is the T-Rex, straight from "Jurassic Park," complete with the same biting technique. Of course he's terrifying, but he's not Godzilla.
 The big differences: there's more of them, and they have scales on their backs, just like their parent. Even the scene where we see all the eggs is stolen from the ending of "Aliens." Luckily enough, they're still frightening to look at, and their scenes are done well enough that we forget that their carbon copies, if only for a brief couple seconds here and there when the action and tension has subsisted for a bit.
Oh, yes, and there's a plot, or at least an attempt at one that is in place of the first 100 minutes or so. Godzilla is the result of nuclear testing around French Polynesia, where we see a couple lizards looking one at the blasts (so where are the others? guess there's gonna be a couple sequels), and when he begins to destroy some ships and whatnot off the coast, they bring in nuclear scientist, Dr. Nick Tantopopolous (Matthew Broderick, who needed the attention, I guess), who was busy studying worm mutations up in Chernobyl (they call him "the worm guy"). He concludes that he's a victim of nuclear testing just as Godzilla swims on over to the Big Apple (why the Big Apple? because it...uh...it has lots of stuff he can destroy, I guess...or because Emmerich and Devlin don't know where else to stage destruction anymore).
Also in the story is Nick's ex-college sweetie, Audrey Timmonds (Maria Pitillo, who brings out the worst of sitcom style acting), who works for a pompous news anchor (are there any other kind?), Charles Caiman (Harry Shearer, the voice of Mr. Burns and others on "The Simpsons"), and is trying to break into anchordom, regardless of the fact that she is terrible at it. And there's her friend's husband, Victor "Animal" Polotti (Hank Azaria, voice of Apu, Chief Wiggum, and several others on "The Simpsons"), a wild cameraman who is just trying to get the best footage of the beast...at any cost. Soon, they're working along with Nick, trying to help him stop the beast and his eggs.
Since the military and local government are exercising their stupidity in handling the situation, in comes some French Secret Servicemen, led by a man named Philippe (Jean Reno, known to American audiences as the helicopter pilot in "Mission: Impossible"), who are trying to destroy the eggs as well as the beast so that their government doesn't suffer because of their nuclear testing. They are actually kinda nicely presented, shown in brief shots doing things we don't understand until later on in the film, although the film really shows how culturally ignorant it is in terms of their presentation and running gags: all the french guy, with the exception of Reno, are named Jean-something, and all they talk about is the lack of croissants and how bad the "French Roast" coffee is. Yes, all french people are like that, I forgot.
After awhile, the film slips into a cycle: the military tries to stop Godzilla in the dumbest ways possible (my favorite was the submarines in the East River), Godzilla runs and ends up destroying them, and the military freaks out while Nick tries to tell them what's going on and is subsequently ignored. Only when it changes its pace a bit in the last half hour does it really take off, and one almost forgets how deadly dull the first hour and forty minutes were.
It also doesn't help that this film has an IQ of about 4 1/2. The script is one of the worst of all big budget flicks, filled with terrible dialogue, and some really awful plotting. The mystery of what those French guys is intriguing for a bit, but soon becomes annoying, and when revealed what their mission really is, it becomes anti-climactic. The film takes itself so deadly seriously (a big mistake - it's a Godzilla flick!) that when any jokes pop up, they're distracting (the worst, most unfunny running gag is the fact that the Mayor looks like Roger Ebert, and is named Mayor Ebert, and his chief aide is named Gene, and looks like Gene Siskel - obviously a totally unsubtle attempt at revenge by the creators of the film, who's past films were panned by them). Also not working at all is its attempt at being "King Kong" and humanizing Godzilla from time to time, then copping itself out and making his killers into heroes. And then there's the romantic subplot of "Will Nick and Audrey *ohmygodohmygodohmygod* get back together?!?!" I say if you're not going to make a romantic subplot, the thing that every film seems to need by the Law of Big Budget Movies, I dunno, interesting, then you might as well trash it. Then we wouldn't be burdened by the acting by Maria Pitillo (ugh).
Also sadly, no actors really take off. Matthew Broderick tries to say Emmerich and Devlin's awful dialogue with a straight face, but can't help it that his character is less than paper thin. Even comic geniuses like Hank Azaria and Harry Shearer aren't given good roles...in fact, Hank's character's chief personality trait is his Brooklyn accent. The only who actually does do a great job is Jean Reno, who, sure, plays his role compeltely straight, but actually makes everything he does believable, and also a blast. Jean actually gives a better performance than the lizard himself. Still, all the characters are pretty dull, and the result is an empty experience, filled with little of anything. The only reason we care about the people inside the cab in the end is because 3/4 of them are Matthew Broderick, Hank Azaria, and Jean Reno. At least in "Independence Day" they bothered to bring us interesting characters; here, they just want to show off Godzilla, in all his anticlimactic glory.
The last half hour makes up partially for a lot of the crap that goes on for most of the film, even if that partiality is minute. The final action sequence IS a great action sequence: riveting, intense, wild, proposterous, exhilerating. If the film had more of these, it would be great. I won't say this for many films, but "Godzilla" needs more carnage and intenisty, and less of anything else it has.
MY RATING (out of 4): **
Homepage at: http://www.geocities.com/Hollywood/Hills/8335/
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.
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Related links: index of all rec.arts.movies.reviews reviews


I am an aspiring self-taught mobile and web developer. I have a background in computer science and a graduate from the University of British Columbia
I am an iOS developer and I am currently learning web development with Free Code Camp
Aside from programming, I have a passion in photography. I also love to travel and explore the world


Secret Agent Collin:
Well, we get you training!
First thing you need to know is that we ain't going to be dressin' you up in rags and have you wobblin' about like some old madam.
No no--you're gonna be
transformed
, my friend!
"Transformed?"


Self driving cars are one of the most exciting technological developments of our lifetimes. With superior decision making speeds and precision, computers have already proven to be better drivers than humans in many ways. The increase in safety they provide should eventually allow us to raise speed limits without any ill affect. In fact, I truly believe that in our lifetimes, we may well see the end of traffic accidents and traffic jams to boot.
While self driving cars do not rely on multiclass classification of traffic signs while driving (they use HD maps), building a model for classifying road signs is still a great exercise in data science. That is exactly what this project seeks to demonstrate.
For more information on this project and the dataset being used, please follow the link below. I have also gone into greater detail about the process I went through, and some of the things I learned along the way.
Gavin Ray lives with his family in Bellingham Washington, where he founded Godfreyluck Games LLC. Last year, he discovered the amazing world of data science while researching advanced video game tools. The change in focus to machine learning has been a welcomed one; Gavin also enjoys data analysis and data engineering.
Over the Summer of 2020, he completed the Data Science Immersive at Galvanize. He is now continuing his learning with independent projects while looking for the right team to devote his time to. If you are interested in Auto-Moto, you might want to check out Boxcar as well! Or send us an email at<EMAIL_ADDRESS>Background for header image found at:
Travel vector created by vectorpocket - www.freepik.com


{% extends 'base.html' %} {% block title %}{{request.user}}(5) · Blog Home{% endblock title %} {% block content %}
Humm... it seems you donot follow anyone yet. No problem Let follow some click below or Read some of the best articles around the world.


Logo
This is my logo
Some of my favorite places:
Desktop
Bed
Friends
Here is a random link
Check 'em


The Natural History Museum is the state repository for over 1 million
artifacts and is one of my favorite institutions in Utah.
This website is a life saver when taking any math classes.
It walks the user through each step and provides additional text information.
Good option for when you can't get a tutor.
The Sundance Film Festival is a globally known event that occurs in
Park City, Utah every year and brings tourists from all around the world.
It is an entire week of film and extravagant gatherings.


Click or tap, depend on your device, to watch trailers.
I recommend to watch these whether you are a designer:)
A movie consisted with clips submitted to Youtube, after questions "What do you love? What do you fear? What's in your pocket?"
A documentaly about isolated indigenous tribe
A documentary about typography and graphic design, centered on the typeface of the same name. It's the first part of Design Trilogy, directed by Gary Hustwit.
British Sci-fi that let us imagine possibility of techology without well-thought.
It explores positive psychology, interviewing people over 14 countries.
A documentrary about days of indie game engineers, Edmund McMillen and Tommy Refenes.
A documentary about street art.
The second part of Design Trilogy, about consumerism, industrial deisgn.
The third part of Design Trilogy, about architecture and urban design.


Copper falls as U.S.-China trade deal remains elusive
by ReutersMANILA — Copper prices dropped on
Thursday, after touching a one-week high in the previous
session, as a possible delay in a much-awaited “phase one” trade
deal between Washington and Beijing weighed on sentiment.
Benchmark copper on the London Metal Exchange was
down 0.4% at $5,851 a tonne, as of 0331 GMT, while the
most-active copper contract on the Shanghai Futures Exchange
slipped 0.2% to 47,050 yuan ($6,685.04) a tonne.
Completion of a “phase one” U.S.-China trade deal could
slide into next year, trade experts and people close to the
White House said, as Beijing presses for more extensive tariff
rollbacks while Washington counters with heightened demands of
its own.
Officials from Beijing had earlier suggested that Chinese
President Xi Jinping and U.S. President Donald Trump might sign
a deal by early-December.
Possibly complicating the trade negotiations further, the
U.S. House of Representatives on Wednesday passed two bills to
back protesters in Hong Kong and send a warning to China about
human rights, which the Senate passed the day before, angering
Beijing.
“The Congressional vote on the HK protesters doesn’t help
get a trade deal done admittedly,” said Robert Carnell, head of
research, Asia-Pacific, at ING.
COPPER WEEK: Miner Freeport-McMoRan Inc and China’s
Jiangxi Copper have agreed treatment and refining
charges (TC/RC) of $62 a tonne and 6.2 cents per pound for
copper concentrate supply in 2020.
COPPER WEEK: The London Metal Exchange is considering
creating a new market for “green” aluminum, using warehouse
ownership documents to identify low-carbon material instead of
spinning off a new futures contract.
COPPER SUPPLY: The global world refined copper market showed
a surplus of 29,000 tonnes in August, compared with 71,000
tonnes deficit in July, the International Copper Study Group
(ICSG) said in its latest monthly bulletin.
HUAWEI: The Trump administration on Wednesday gave Huawei
its second reprieve this week, allowing some suppliers to
restart sales to the Chinese telecoms giant after it was placed
on a trade black list over national security concerns six months
ago.
ING’s Carnell said allowing U.S. companies to do business
with Huawei, and reports that Trump was looking to exempt Apple
from tariffs “could be the answer from the U.S. to China’s
request to roll tariffs back to the situation in May.”
“But we do not expect China will accept these as a
replacement for lifting tariffs, as these company level
exemptions will not be written as a clause in any trade
agreement,” Carnell said.
ANTIDUMPING: The U.S. International Trade Commission on
Wednesday said it had determined that U.S. industry was
materially injured by below-cost imports of aluminum wire and
cable from China, locking in U.S. antidumping and countervailing
duties.
ALUMINIUM OUTPUT: Global primary aluminum output rose to
5.392 million tonnes in October from revised 5.222 million
tonnes in September, data from the International Aluminium
Institute (IAI) showed.
PRICES
Three month LME copper
Most active ShFE copper
Three month LME aluminum
Most active ShFE aluminum
Three month LME zinc
Most active ShFE zinc
Three month LME lead
Most active ShFE lead
Three month LME nickel
Most active ShFE nickel
Three month LME tin
Most active ShFE tin
ARBS
($1 = 7.0381 yuan)
(Reporting by Enrico dela Cruz, Editing by Sherry
Jacob-Phillips)


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I’m a full stack developer candidate with a passion for all things web and an exaggerated goal of broadening my knowledge and skills. I think of myself a team player with superb chameleonic skills, to adapt to any situation or problem.
I have had an unorthodox path to development, having started my career as a journalist with a politics and theology degree (don’t ask).
I have managed web products for media companies including, Telemundo, NY1 News, Bill Moyers and more recently Scientific American Magazine.
I currently work as a Senior Web Producer for Scientific American where I manage most of our web output and digital applications.
I have experience managing content management systems, email marketing services, eCommerce platforms, as well as mobile applications and their notification integrations.
I have knowledge of HTML, CSS, Javascript and Bootstrap.
Experience
Senior Web Producer - Scientific American
- Produce all issue content for web and mobile applications
- Manage deployment of all editorial newsletters
- Manage app notifications
- Survey all out platforms to ensure quality
- Report site fixes
Associate Producer - Bill Moyers Media
- Produced and fact-checked all content
- Managed social media
- Video editing
- Photo editing
Web Producer - NY1 News
- Produced all content
- Managed social media
- Photo editing
- Video editing
Adversiting Dep. Assistant - Telemundo
- Produced responsive web ads
- Photo editing
- Content translation


{% extends 'base.html' %} {% load static %} {% block stylesheet %} {% endblock %} {% block activeHeader %} Home Now Writings {% endblock %} {% block content %}
Last updated: March 26th, 2020.
The purpose of the page is to share what I’m up to and working on currently.Other things I’m up to… Listening to lots of podcasts and reading a ton of books. Exploring scotch, wine, and coffee.
{% endblock %}


I am a third year computer science and math student at the University of Guleph. My personability, organization, ability to understand complex high level systems, and technical background would make me an excellent team member
- Worked to help customers enjoy their shopping experience by providing quick, accurate and helpful suggestions, serivce and answers to any questions.
- General cashier duties involving handling money, making change and ensuring proper accountability for payements. - Worked to be a valuable team member by offering to take on extra shifts as needed so that the store would not be under-staffed.Mississauga, Ontario
- Lead lessons in computer science, mathematics and science to groups of up to 40 children aged 5-13 years old.
- Adapted lessons to fit different levels of learning. - Supervised large group activites including outdoor games and team building exercises. - Used on the spot problem solving to deal with conflict.Guelph, Ontario
- Statistics Stream
- Notable courses include: Intermediate Programming, Object Oriented programming, Data Structures, Software Systems Development and Integration (covering topics in node backend and basic frontend for CRUD operations) and Applied Regression Analysis.
- Guelph Women in Computer Science (GWICS) – support and engage in the community of women studying computer science at the university of Guelph
- Best Buddies event coordinator
- Student Mentor leader
I spend my free time discovering new music and creating new playlists for friends and family. I also have a passion for all things technolgy, I am often researching and learning new aspects that are not covered in my studies.


rendering x-simple may asynchronously throw during 2nd render, this is used to verify render went well.


About Us
Flash Design If you are interested in coming up with something innovative, this is one of the best options to use. Flash allows you to create an interactive site and you can also include some animation. We offer this design to clients who are in search of flexibility and power. It is one of the best options if you want to include a lot of creativity on your site.
If you require web design services, there are various options that you can choose from based on what your requirements are. We are professionals who have been in the business for a while therefore we understand the best approach to use to help you meet your business goals. When we are offering services, it is not just about designing brochures, we determine the best technology to apply for your site. The technology that we apply has to match your business.


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Generation and Analysis of Directed Maze with Circuits Procedural Content Generation for Games (Spring 2015) A wall carving algorithm which is adapted from depth-first search algorithm is proposed to generate directed mazes with single solution path, no dead ends, no isolated nodes, and several circuits. In addition, an analysis method is utilized to evaluate if the generated mazes help player explore most of themselves without losing patience. |
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Curve and Surface Modeling Geometric Modeling (Spring 2014) User can interactively generate various curves or surface, such as Bezier, cubic B-spline, and subdivision curves/surfaces. User can also reconstruct curve based on NN-Crust or Crust algorithm. |
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Particle-Based Fluid Simulation Computer Game and Animation Techniques (Spring 2014) Smoothed particle hydrodynamics (SPH) is a method to simulate fluid based on particle systems. It supposes that the physical quantities of each particle can be interpolated by centain radial symmetrical smoothing kernels. For this project, SPH is applied to simulate the movement of water being poured into a container. |
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Motion Graph Computer Game and Animation Techniques (Spring 2014) A simple Unity program contains a virtual human character doing different movements, including running, jumping, waving, and feign death. |
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Ripples Computer Game and Animation Techniques (Spring 2014) A simplified shallow wave approach is applied to animate ripples on a water surface. |
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Cloth Animation Computer Game and Animation Techniques (Spring 2014) Strain limiting is widely used in games for cloth animation due to its simplicity. This cloth simulator utilizes strain limiting instead of the physics simulator provided by Unity. |
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Rigid Body Simulation Computer Game and Animation Techniques (Spring 2014) This is a self-implemented rigid body simulator without help of Unity physics simulator. |
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Solar System Computer Game and Animation Techniques (Spring 2014) This is a small 3D solar system Unity program based on some basic transformations. |
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Kinect Motion Capture Physically Based Modeling for Interactive Simulation and Games (Spring 2011) The system can be utilized to capture character motion by Microsoft Kinect. User only needs to perform a calibration pose in the first place, and then the system starts to capture the skeleton and motion information. After the capture process, the system can produce motion data for advanced use. |
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Kinect Inverse Kinematics Computer Animation and Simulation (Spring 2011) This system utilizes Cyclic Coordinate Descent method to solve inverse kinematics problem. Via a natural interface based on Microsoft Kinect, user can manipulate this system without any mouse or keyboard commands. Some parameters can be adjusted by stepping away from the origin, e.g., number of joints, bone length, and joint angle. |
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Processing Particle System Computer Animation and Simulation (Spring 2011) This system can load .txt file to simulate a virtual scene by utilizing particle systems, force fields, and collision planes. |
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Constrained Particle System Physically Based Modeling for Interactive Simulation and Games (Spring 2011) This is a physically-based simulation of a 1D deformable chain-like structure modeled as a particle system. The chain is "hard" constrained, e.g., rigid edge constraint, pin constraint, and ring constraint. User can interactively adjust parameters and apply extra force by arrow keys and mouse, respectively. |
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Jello Cube Simulation Physically Based Modeling for Interactive Simulation and Games (Spring 2011) This is a physically-based simulation of a jello cube modeled as a three-dimensional mass-spring system. The cube is constrained to stay inside a bounding box with inclined plane, sphere, cone, and a time-independent force field. User can interactively adjust parameters and apply extra force by arrow keys and mouse, respectively. |
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Processing Wireframe Computer Graphics (Autumn 2010) The purpose of this program is to implement wireframe rendering of a scene specified via a text file. |
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Processing Paint Computer Graphics (Autumn 2010) This small interactive sketchpad can draw lines based on the midpoint algorithm. There are several additional features in order to simulate Microsoft Paint. |


 I am interested in taking photo (yeah but not really a photographer, I am not professional to be called like that), travelling using bicycle or motorbike and enjoying my life every moment. Fell free to talk to me ha ha.
Volunteering is an important part of my life. Sharing is happiness.


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The Lab for Judaica DH
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Welcome to the Lab for
Judaica Digital Humanities
at the University of Pennsylvania
Tell Me More


People
Active Developers
- Hans Dockter (Founder and Project lead)
- Adam Murdoch
- Szczepan Faber
- Daz DeBoer
- Peter Niederwieser
- Luke Daley
- Steve Appling
- Russel Winder
Past Developers
- Steven Devijver
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Others
Many thanks to Franke Henze for the Website.
Our thanks to Stefan Groschupf, Dierk König, Ken Krugler, Guillaume Laforge for their ideas or support.


{% extends "base.html" %} {% block title %}Hello World!{% endblock %} {% block content %}
It is never a programming course not until it starts with the classic "Hello World!". So here is how we did it in Flask.

Learn more


Checks if an attempted implementation of a trait method or an associated type has the right number of type or const parameters.
Corresponds to the
E0049
Rust error.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes 10-12 kofta
Dietary
A meat-free festive version of the Middle Eastern classic, this is a great way of using up leftover mash.
Preheat the oven to 180C/160C Fan/Gas 4.
For the spicy chipotle dip, mix all the ingredients together in a roasting tin. Bake for 20 minutes, or until softened. Set aside to cool.
Meanwhile, for the kofta, put the dates and chestnuts in a food processor and blend to a chunky paste. Set aside.
In a large bowl, mix the mashed potato with the eggs and potato flour to form a soft dough. Season with salt and pepper.
Divide the potato dough into 12-16 equal portions and roll into balls. Flatten the ball into a disc in your palm and press a large pinch of the chestnut date mixture into the centre, closing the potato dough over the top. Use your hands to roll into a little, filled kofta, then roll the kofte in the breadcrumbs. Repeat with the remaining mixture.
Heat a deep-fat fryer to 180C , or until a breadcrumb sizzles and turns golden-brown when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.) Carefully, using a slotted spoon, lower the kofta into the fryer in small batches. Cook for 2-3 minutes, or until golden-brown. Lift the kofta out with a slotted spoon and drain on a plate lined with kitchen paper, then transfer to a serving plate.
Put the roasted dip mixture in a food processor and blend until smooth but with some texture. Spoon into a bowl and serve with the kofta.


In the last few years, deep learning practitioners have proposed a litany of different sequence models. Although recurrent neural networks were once the tool of choice, now models like the autoregressive Wavenet or the Transformer are replacing RNNs on a diverse set of tasks. In this post, we explore the trade-offs between recurrent and feed-forward models. Feed-forward models can offer improvements in training stability and speed, while recurrent models are strictly more expressive. Intriguingly, this added expressivity does not seem to boost the performance of recurrent models. Several groups have shown feed-forward networks can match the results of the best recurrent models on benchmark sequence tasks. This phenomenon raises an interesting question for theoretical investigation:
When and why can feed-forward networks replace recurrent neural networks without a loss in performance?
We discuss several proposed answers to this question and highlight our recent work that offers an explanation in terms of a fundamental stability property.
A Tale of Two Sequence Models
Recurrent Neural Networks
The many variants of recurrent models all have a similar form. The model maintains a state $h_t$ that summarizes the past sequence of inputs. At each time step $t$, the state is updated according to the equation [ h_{t+1} = \phi(h_t, x_t), ] where $x_t$ is the input at time $t$, $\phi$ is a differentiable map, and $h_0$ is an initial state. In a vanilla recurrent neural network, the model is parameterized by matrices $W$ and $U$, and the state is updated according to [ h_{t+1} = \tanh(Wh_t + Ux_t). ] In practice, the Long Short-Term Memory (LSTM) network is more frequently used. In either case, to make predictions, the state is passed to a function $f$, and the model predicts $y_t = f(h_t)$. Since the state $h_t$ is a function of all of the past inputs $x_0, \dots, x_t$, the prediction $y_t$ depends on the entire history $x_0, \dots, x_t$ as well.
A recurrent model can also be represented graphically.
Recurrent models are fit to data using backpropagation. However, backpropagating gradients from time step $T$ to time step $0$ often requires infeasibly large amounts of memory, so essentially every implementation of a recurrent model truncates the model and only backpropagates gradient $k$ times steps.
In this setup, the predictions of the recurrent model still depend on the entire history $x_0, \dots, x_T$. However, it’s not clear how this training procedure affects the model’s ability to learn long-term patterns, particularly those that require more than $k$ steps.
Autoregressive, Feed-Forward Models
Instead of making predictions from a state that depends on the entire history, an autoregressive model directly predicts $y_t$ using only the $k$ most recent inputs, $x_{t-k+1}, \dots, x_{t}$. This corresponds to a strong conditional independence assumption. In particular, a feed-forward model assumes the target only depends on the $k$ most recent inputs. Google’s WaveNet nicely illustrates this general principle.
In contrast to an RNN, the limited context of a feed-forward model means that it cannot capture patterns that extend more than $k$ steps. However, using techniques like dilated-convolutions, one can make $k$ quite large.
Why Care About Feed-Forward Models?
At the outset, recurrent models appear to be a strictly more flexible and expressive model class than feed-forward models. After all, feed-forward networks make a strong conditional independence assumption that recurrent models don’t make. Even if feed-forward models are less expressive, there are still several reasons one might prefer a feed-forward network.
- Parallelization: Convolutional feed-forward models are easier to parallelize at training time. There’s no hidden state to update and maintain, and therefore no sequential dependencies between outputs. This allows very efficient implementations of training on modern hardware.
- Trainability: Training deep convolutional neural networks is the bread-and-butter of deep learning. Whereas recurrent models are often more finicky and difficult to optimize, significant effort has gone into designing architectures and software to efficiently and reliably train deep feed-forward networks.
- Inference Speed: In some cases, feed-forward models can be significantly more light-weight and perform inference faster than similar recurrent systems. In other cases, particularly for long sequences, autoregressive inference is a large bottleneck and requires significant engineering work or significant cleverness to overcome.
Feed-Forward Models Can Outperform Recurrent Models
Although it appears trainability and parallelization for feed-forward models comes at the price of reduced accuracy, there have been several recent examples showing that feed-forward networks can actually achieve the same accuracies as their recurrent counterparts on benchmark tasks.
-
Language Modeling. In language modeling, the goal is to predict the next word in a document given all of the previous words. Feed-forward models make predictions using only the $k$ most recent words, whereas recurrent models can potentially use the entire document. The Gated-Convolutional Language Model is a feed-forward autoregressive models that is competitive with large LSTM baseline models. Despite using a truncation length of $k=25$, the model outperforms a large LSTM on the Wikitext-103 benchmark, which is designed to reward models that capture long-term dependencies. On the Billion Word Benchmark, the model is slightly worse than the largest LSTM, but is faster to train and uses fewer resources.
-
Machine Translation. The goal in machine translation is to map sequences of English words to sequences of, say, French words. Feed-forward models make translations using only $k$ words of the sentence, whereas recurrent models can leverage the entire sentence. Within the deep learning world, variants of the LSTM-based Sequence to Sequence with Attention model, particularly Google Neural Machine Translation, were superseded first by a fully convolutional sequence to sequence model and then by the Transformer.1
-
Speech Synthesis. In speech synthesis, one seeks to generate a realistic human speech signal. Feed-forward models are limited to the past $k$ samples, whereas recurrent models can use the entire history. Upon publication, the feed-forward, autoregressive WaveNet was a substantial improvement over LSTM-RNN parametric models.
-
Everthing Else. Recently Bai et al. proposed a generic feed-forward model leveraging dilated convolutions and showed it outperforms recurrent baselines on tasks ranging from synthetic copying tasks to music generation.
How Can Feed-Forward Models Outperform Recurrent Ones?
In the examples above, feed-forward networks achieve results on par with or better than recurrent networks. This is perplexing since recurrent models seem to be more powerful a priori. One explanation for this phenomenon is given by Dauphin et al.:
The unlimited context offered by recurrent models is not strictly necessary for language modeling.
In other words, it’s possible you don’t need a large amount of context to do well on the prediction task on average. Recent theoretical work offers some evidence in favor of this view.
Another explanation is given by Bai et al.:
The “infinite memory” advantage of RNNs is largely absent in practice.
As Bai et al. report, even in experiments explicitly requiring long-term context, RNN variants were unable to learn long sequences. On the Billion Word Benchmark, an intriguing Google Technical Report suggests an LSTM $n$-gram model with $n=13$ words of memory is as good as an LSTM with arbitrary context.
This evidence leads us to conjecture: Recurrent models trained in practice are effectively feed-forward. This could happen either because truncated backpropagation time cannot learn patterns significantly longer than $k$ steps, or, more provocatively, because models trainable by gradient descent cannot have long-term memory.
In our recent paper, we study the gap between recurrent and feed-forward models trained using gradient descent. We show if the recurrent model is stable (meaning the gradients can not explode), then the model can be well-approximated by a feed-forward network for the purposes of both inference and training. In other words, we show feed-forward and stable recurrent models trained by gradient descent are equivalent in the sense of making identical predictions at test-time. Of course, not all models trained in practice are stable. We also give empirical evidence the stability condition can be imposed on certain recurrent models without loss in performance.
Conclusion
Despite some initial attempts, there is still much to do to understand why feed-forward models are competitive with recurrent ones and shed light onto the trade-offs between sequence models. How much memory is really needed to perform well on common sequence benchmarks? What are the expressivity trade-offs between truncated RNNs (which can be considered feed-forward) and the convolutional models that are in popular use? Why can feed-forward networks perform as well as unstable RNNs in practice?
Answering these questions is a step towards building a theory that can both explain the strengths and limitations of our current methods and give guidance about how to choose between different classes of models in concrete settings.
-
The Transformer isn’t strictly a feed-forward model in the style described above (since it doesn’t make the $k$ step conditional independence assumption), but is not really a recurrent model because it doesn’t maintain a hidden state. ↩


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{% extends "nominations_portal.html" %} {% load django_bootstrap_breadcrumbs nominations_tags %} {% block page_title %}Our Revolution - Nominations{% endblock %} {% block content %} {{ block.super }}
Our Revolution is made up of hundreds of local groups all across the world, and all of our endorsements must first originate with a nomination from an official group.
Get started submitting your group’s nomination now, or learn more about our nomination process below.
Not part of a group? Find or form one today.
Our Revolution seeks to empower the next generation of progressive leaders by inspiring and supporting progressive candidates to run for offices across the entire spectrum of government. From school boards to congressional seats, a new generation of political leaders, dedicated to transforming America’s corrupt campaign finance system and rigged economy, will be elected into office.
In order to transform our country, we need everyone - progressive activists, women of color, immigrants, Native Americans, religious minorities, working class americans, and members of marginalized communities - to be elected into office at all levels.
We value the power of local grassroots organizing and because of that, only candidates or initiatives that have been nominated by local Our Revolution groups, or strategically identified by OR staff and supported by the local group, will be considered for an Our Revolution national endorsement.
Not part of a group? Find or form one today.
Note: Nominations submitted less than 30 days before the election are unlikely to be considered.
Not part of a group? Find or form one today.


Beautiful sharer.js buttons with CSS3 only. A small extention for the plugin sharer.js by Ellison Leão.
View on Github


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{% extends "linkless_base.html" %}
{% block body %}
You wake to the sound of your alarm.
Good Morning, {{firstName}}. The weather today is sunny with a high of 35 degrees Fahrenheit. Please make sure to bring a jacket.
You quickly get dressed and drive to work.
As you pull into the school, you can see a line of students walking into the building. Most of them have frowns on their faces.
As usual, the driveway is nearly empty. Many of the teachers decided to quit when the school introduced the Student Predictive Algorithm or SPA for short.
This revolutionary algorithm promised to give students personalized coursework based on their academic performance.
By feeding it student data, the algorithm could quickly learn about a student and predict trends and areas of improvement.
As this was a private school, the parents only seemed to care
about the results, which it brought.
The teachers on the otherhand, believed that students were more than just a score. After much protesting, the remaining teachers were let go and replaced with personalized teaching AI.
All of this had only occured a few months ago.
You scan into the building and make your way to your office. At your door, you can already see a few students waiting for you.
As an advisor and one of the few remaining adults in the building, students often come to you with their concerns.
You boot up your computer and check your appointments for the day.


WITNESS LIST State Affairs Committee April 4, 2005 - 1:30P SB 51 Registering, but not testifying: For: Dennis, Hilary (Texas Medical Association), Austin, TX SB 121 ON: Abbott, Gregg (Office of Attorney General), Austin, TX Bolot, Bob (The University of Texas Investment Management Co.), Austin, TX Bybee, Clinton (Texas Venture Capital Association), Austin, TX Registering, but not testifying: For: Schneider, Michael (Texas Association of Broadcasters), Austin, TX Whalen, Ken (Texas Daily Newspaper Association; Texas Press Association), Austin, TX On: Featherston, Pattie (Teacher Retirement System), Austin, TX SB 442 FOR: Bonner, Chip (SSP Partners), Corpus Christi, TX Newton, Chris (Texas Petroleum Marketers and Convenience Store Association), Austin, TX Registering, but not testifying: Against: Harvey, Jay (Texas Trial Lawyers Association), Austin, TX On: Bush, Y. Danae (Texas Legislative Council), Georgetown, TX Kiplin, Kimberly L. General Counsel (Texas Lottery Commission), Austin, TX Kramer, David (Texas Legislative Council), Austin, TX SB 500 FOR: Anderson, Elaine (Texas Health Resources and Texas Hospital Association), Arlington, TX Vaughan, Ron (Tenet Health Systems), Dallas, TX Registering, but not testifying: For: Arnold, Jim (Trinity Mother Frances Hospital - Tyler), Austin, TX Kolodzey, Patricia (Texas Hospital Association), Austin, TX Pearson, David (Texas Organization of Rural and Community Hospitals), Bastrop, TX Rummel, Leah (Texas Association of Health Plans), Austin, TX Wilkes, Catherine (Christus Health), Austin, TX Yanas, Chris Director, Special Projects/Ambulatory Services (University Health System d/b/a Bexar County Hospital District), San Antonio, TX On: Bailey, Charles General Counsel (Texas Hospital Association), Austin, TX SB 728 FOR: Igo, Shanna (Texas Municipal League), Austin, TX Walker, Arthur L. (Texas Municipal Intergovernmental Risk Pool), Austin, TX ON: Harvey, Jay (Texas Trial Lawyers Association), Austin, TX Registering, but not testifying: For: Crosby, Sallie A. (Capital Metro), Austin, TX Oliver, Harold (San Antonio - UIA Metropolitan Transit Authority), Austin, TX Reagan, David (Texas Municipal League Intergovernmental Risk Pool), Austin, TX SB 1224 Registering, but not testifying: For: Igo, Shanna (Texas Municipal League), Austin, TX On: Bartram, John (Wells Branch MUD, Northtown MUD, BlockHouse MUD), Austin, TX SB 1320 FOR: Johnson, Steven (Texas Association of Community Colleges), Austin, TX SB 1510 FOR: Byron, David K. (Coryell County Memorial Hospital Authority), Coutesville, TX AGAINST: Harvey, Jay (Texas Trial Lawyers Association), Austin, TX Registering, but not testifying: For: Bailey, Charles (Texas Hospital Association), Austin, TX Pearson, David (Texas Organization of Rural and Community Hospitals), Bastrop, TX On: Bailey, Charles (Texas Hospital Association), Austin, TX


WITNESS LIST Culture, Recreation, & Tourism Committee April 27, 2005-1:30P HB 3553 For: Atkins, Jim O. (Saltwater Fisheries Enhancement Association) Matthews, Thomas M. (Costal Bead Rags Foundation on Groundwater Conservation and Environmental Policy) Against: Park, Joey (Coastal Conservation Association) Smarr, Jim (Texas Recreational Fishing Alliance) Thompson, Chris (Self) On: McKinney, Dr. Larry (Texas Parks and Wildlife Department) Registering, but not testifying: For: Berlanga, Hugo (S.E.A.) Against: Palmer, Corky (Texas Outdoor Recreation Alliance) HCR 77 For: Haynie, James W. (Self) Merriwether, Gale (Self) Mize, John (Butch) (Self) HCR 98 Registering, but not testifying: For: Haynie, James W. (Self) Marriwether, Gale (Self) Mize, John (Self) HCR 108 For: Brooks, Jimmy D. (Self and Lacy Game Dog Association) Mathiews, J.C. (Self) Riley, Marlo (Self and Lacy Family Descendants) Registering, but not testifying: For: Brooks, Pam (Self) Brown, Farida (Self) Cavin, Marsha (Self) Cavin, Wayne (Self) Garst Jr., Robert M. (Self) Gibbs, John M. (Self) Graham, Kelli M. (Self) Graham, Tom (Self) Harrell, Sandy (Self) Kersh, R. E. (Self) Latham, Cynthia (Self) Lemanski, O.D., Sundra A. (Self) McNally, Lily (Self) Rankin, Sharon (Self) Riley, Dee (Self) Smith, Bret (Self) Stafford, Cierra (Self) Tidwell, Deann (Self) Tidwell, Hugh K. (Self) Tidwell, Jerry (Self) Tiemann, Melanie (Self) Wilson, David (Self) HCR 117 For: Danburg, Debra (Galveston Historical Foundation) Moran, John R. (Galveston Historic Foundation)


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boost::proto::fold_tree — A PrimitiveTransform that recursively applies the
proto::fold<>
transform to sub-trees
that all share a common tag type.
// In header: <boost/proto/transform/fold_tree.hpp> template<typename Sequence, typename State0, typename Fun> struct fold_tree : proto::transform< fold_tree<Sequence, State0, Fun> > { // member classes/structs/unions template<typename Expr, typename State, typename Data> struct impl : proto::fold<Sequence, State0, recurse_if_<typename Expr::proto_tag, Fun> > ::template impl<Expr, State, Data> { }; };
proto::fold_tree<>
is useful for flattening trees into lists;
for example, you might use proto::fold_tree<>
to flatten an
expression tree like a | b | c
into a Fusion list like
cons(c, cons(b, cons(a)))
.
proto::fold_tree<>
is easily understood in terms of a
recurse_if_<>
helper, defined as follows:
template<typename Tag, typename Fun> struct recurse_if_ : proto::if_< // If the current node has type type "Tag" ... boost::is_same<proto::tag_of<proto::_>, Tag>(), // ... recurse, otherwise ... proto::fold<proto::_, proto::_state, recurse_if_<Tag, Fun> >, // ... apply the Fun transform. Fun > {};
With recurse_if_<>
as defined above,
proto::fold_tree<Sequence, State0, Fun>()(expr, state, data)
is equivalent to:
proto::fold< Sequence, State0, recurse_if_<typename Expr::proto_tag, Fun> >()(expr, state, data).
It has the effect of folding a tree front-to-back, recursing into child nodes that share a tag type with the parent node.


Hi 👋
My name is Marius Senior Software Engineer 👨💻 Working remotely from Romania 🇷🇴 Specialty Coffee Addict ☕
I'm a CS graduate with a passion for development having over 7 years of professional experience working with clients or building personal projects.
For the last 3 years I've been working with EmberJS on the frontend and NodeJS with AWS services on the backend. In my current position I'm managing a team of 6 to deliver features for an energy provider client. That means developing new customer facing journeys, implementing new backend APIs or creating asynchronous workflows to handle different kind of requirements.
My previous 3 years experience was quite similar, with a tech stack that included Angular on the frontend and NodeJS with Serverless Framework on top of AWS on the backend.
In my free time, I like to travel and meet new people. I enjoy spending time in nature, being it hiking or just hanging out with friends on a walk.
Have a look at my resume here.