MEN WITH GUNS
A Film Review by James Berardinelli
RATING: ***1/2 OUT OF ****
United States, 1998 U.S. Release Date: 3/6/98 (limited) Running Length: 2:08 MPAA Classification: R (Profanity, violence) Theatrical Aspect Ratio: 1.85:1
Cast: Federico Luppi, Dan Rivera Gonzalez, Damian Delgado, Tania Cruz, Damian Alcazar, Mandy Patinkin, Kathryn Grody Director: John Sayles Producers: Maggie Renzi, R. Paul Miller Screenplay: John Sayles Cinematography: Slawomir Idziak Music: Mason Daring U.S. Distributor: Sony Pictures Classics In Spanish with subtitles
John Sayles is arguably the most ambitious American independent film maker working today. His films -- those that he writes, directs, and edits -- are made entirely outside of the studio system. Sayles fashions them on his own, because he demands the right of final cut. Only when a film is done does he seek out a distributor. During his 18- year career behind the camera, he has always been a maverick. While most other directors make a few successful indie pictures, then sign a deal with a studio, Sayles continues to work as he always has, using the proceeds from the artistically limited screenplays he pens for the Hollywood behemoths (PIRANHA and CLAN OF THE CAVE BEAR have Sayles scripts) to fund his more personal work.
Sayles broke onto the scene in 1980 with his directorial debut, RETURN OF THE SECAUCUS SEVEN, the movie that inspired the better-known THE BIG CHILL. His films since then have been remarkably diverse, from the lesbian drama, LIANNA, to the comic fantasy, THE BROTHER FROM ANOTHER PLANET, to the baseball movie, EIGHT MEN OUT, to the Scottish fairy tale, THE SECRET OF ROAN INISH, to the magnificently-textured LONE STAR. Now, two years after his most critically-acclaimed effort to date, Sayles is ready to release MEN WITH GUNS, a film that breaks new ground (again). Not only was this Central American-based tale filmed entirely outside of the United States, but the final script (after being translated from the English version that Sayles wrote) was in Spanish.
While perhaps not as masterful as LONE STAR, MEN WITH GUNS is nevertheless a very good film. It stars Argentinean actor Federico Luppi (CRONOS) as Dr. Fuentes, an aging medical practitioner in an unnamed Central American country. With retirement upon him, Fuentes is determined that some part of his teaching will outlast him. He believes that his legacy lies in the contribution he made to a project that trained young men and women to be doctors before sending them out as "ambassadors of health" to remote Indian villages. It has been years since Fuentes has heard from any of his former students, and he decides to take a trip out of the city to look for a few of them. The deeper he gets into the wilderness, the more horrified he becomes by what he finds in different Indian villages. Poverty and lawlessness are the chief characteristics of life. Fear lies heavily in the air. Politics are meaningless. To the common farmer eking out a living, there's no difference between guerrillas and soldiers -- they're all men with guns who steal and kill.
Along the way, Fuentes assembles an unusual group of traveling companions. The first to join him is an orphaned young boy (Dan Rivera Gonzalez), who knows the way of the back roads that the doctor must traverse. The next member of the group is a solider who has deserted (Damian Delgado) and whose prized possession, a revolver, has no bullets. Later, the band is enlarged by a priest who has lost his faith (Damian Alcazar) and a mute woman (Tania Cruz) who is in search of solace.
One of the most vociferous arguments to develop against MEN WITH GUNS focuses on the setting. Sayles has placed all of the action in a fictitious Latin American country, declining to indict any particular government for the travesties that are shown (guerrillas killing men for helping soldiers; soldiers killing men for helping guerrillas). And, while there is a legitimate argument for "naming names", Sayles' point is that the themes and issues he addresses are universal in nature, and that there's no reason to pin down a specific country. These kinds of human rights abuses have happened throughout history and are still taking place all across the world wherever oppressors with superior technology use their position of strength to dispossess and suppress the indigenous population.
Sayles presents MEN WITH GUNS from Fuentes' perspective -- the doctor represents the audience. At first, he is cocooned by ignorance, but the further he proceeds from civilization, the more he realizes how frail his legacy is. His vaunted program has failed because of his own hubris. Fuentes believed he was preparing men and women to face the real challenges of the wilderness, but his lessons proved to be woefully inadequate. At one point, a former student says to him, "You're the most learned man I've ever met, but also the most ignorant." Our eyes are opened along with Fuentes'. As he learns, so do we.
Each of Fuentes' companions has a story. The boy has lived with poverty and death his entire life. He has learned to endure hunger, because no one in his village has much to eat. He is blasť about murder and torture -- those are common aspects of his day-to-day existence. The deserter starts out by robbing Fuentes, but fate conspires to put his life in the doctor's hands. Sayles gradually peels back the layers of his personality until we discover the real reason why he left the army. The priest, like Fuentes, has lost his faith as a result of being in the wilderness. He has seen and learned things that have reduced his doctrines to meaningless words. And the mute woman, who has not spoken since she was raped two years ago, needs to find a reason to live.
It is a credit to Sayles that he creates five vivid, three- dimensional characters in two hours. In actuality, the film runs a little long (this often happens when a director edits his own material, since he can be reluctant to cut certain potentially unnecessary scenes). The performances are all good, and, although the acting in many Spanish-language films tends towards over-the-top melodrama, Sayles keeps his actors focused so that their work is relatively low-key. Two Americans, Mandy Patinkin and Kathryn Grody, have small-but-important parts. Their characters serve a dual purpose -- to provide much-needed comic relief and to illustrate how it's possible to be focused on the past but oblivious to the present.
Reduced to broad generalizations, MEN WITH GUNS is an adventure story -- a sort of DON QUIXOTE meets HEARTS OF DARKNESS. What marks this film as special isn't just that the surface details are believable, but that there is great richness and breadth to the issues addressed within. Where does innocence end and ignorance begin? How much responsibility do we bear for circumstances when we hide from them? And, if we learn the truth, how do we respond when all roads lead to desperation, futility, and failure? While MEN WITH GUNS ends on an artificially uplifting note, the prevailing tone is one of bleak hopelessness. This is a thought-provoking motion picture that, like many of Sayles' other efforts, demands that we ponder complex questions.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1300 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"No art passes our conscience in the way film does, and goes directly to our feelings, deep down into the dark rooms of our souls"
- Ingmar Bergman
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


This work has been carried out as part of the TALMUD scientific project and within the scientific collaboration between S.c.a r.l. PTTB and ILC-CNR (09/11/2017).


GapiAuth2 not loaded
Make sure you have created a project in your developer console
Not initialized
No info


Home
Features
About
Support
Contact
Home
Features
About
Support
Contact
Contact Us
Get in touch
Send Message
Somewhere, USA
+1<PHONE_NUMBER>
<EMAIL_ADDRESS>2019 © All rights reserved. FoodTrackR!


{% extends '_layouts/layout.html' %} {% block page_title %} {% endblock %} {% block content %}
They will check your answers and give you advice on what to do next
Walk-in services don't require an appointment.
If there are any new symptoms, or if the condition gets worse, call NHS 111 for advice.


prtRvUniform Uniform random variable
RV = prtRvUniform creates a prtRvUniform object with empty
upperBounds and lowerBounds. The upperBounds and lowerBounds must
be set either directly, or by calling the MLE method. upperBounds
and lowerBounds specify the range of the uniform variable.
RV = prtRvUniform(PROPERTY1, VALUE1,...) creates a prtRvUniform
object RV with properties as specified by PROPERTY/VALUE pairs.
A prtRvUniform object inherits all properties from the prtRv class.
In addition, it has the following properties:
upperBounds - 1 x nDims double vector specifying the upper bound of
the region with uniform density
lowerBounds - 1 x nDims double vector specifying the lower bound of
the region with uniform density
A prtRvUniform object inherits all methods from the prtRv class.
The MLE method can be used to estimate the distribution parameters
from data.
Example:
dataSet = prtDataGenUnimodal; % Load a dataset consisting of
% 2 features
dataSet = retainFeatures(dataSet,1); % Retain only the first feature
RV = prtRvUniform; % Create a prtRvUniform object
RV = RV.mle(dataSet); % Compute the bounds
% form the data
RV.plotPdf % Plot the pdf
|
|
area |
|
|
|
cdf |
Output the cdf of the random variable evaluated at the points specified |
|
|
crossValidate |
Cross validate prtAction using prtDataSet and cross validation keys. |
|
|
draw |
Draw random samples from the distribution described by the prtRv object |
|
|
get |
get the object properties |
|
|
kfolds |
Perform K-folds cross validation of prtAction |
|
|
logPdf |
Output the log pdf of the random variable evaluated at the points specified |
|
|
mle |
Compute the maximum likelihood estimate |
|
|
optimize |
Optimize action parameter by exhaustive function maximization. |
|
|
pdf |
Output the pdf of the random variable evaluated at the points specified |
|
|
plotCdf |
Plot the cdf of the prtRv |
|
|
plotPdf |
Plot the pdf of the prtRv |
|
|
run |
Run a prtAction object on a prtDataSet object. |
|
|
set |
set the object properties |
|
|
train |
Train a prtAction object using training a prtDataSet object. |


--- title: Salesforce Chatter Monitor - Google Chrome extension tags: salesforce, chatter, chrome, extension meta: chatter salesforce google chrome extension abstract: Google Chrome extension for Salesforce.com's Chatter frees you from having to login to see Chatter feed and is an excellent non-intrusive replacement for Chatter Desktop and encourage user-adoption. It’s a great app for people who work out of the browser all day. This one also does not require you to install Adobe air and simply works on Chrome browser. thumbnail: chatter-monitor-thumb.png date: 2013-01-28 ---
Google Chrome extension for Chatter (Salesforce) frees you from having to login to see your Chatter feed and is an excellent non-intrusive replacement for Chatter Desktop. This extension also supports viewing poll results and allows voting in polls - while this is not available in the official Chatter Desktop. It’s a great app for people who work out of the browser all day. This one also does not require you to install Adobe air and simply works on Chrome browser.
Once an account is added, this extension does not interfere with Salesforce logins - in case you have other browser based logins for other requirements. This application implements the OAuth2 to authorize the accounts and request for necessary permissions - This means that the extension directly connects with Salesforce and not through a third party mechanism
While adding an account you need to logout of your existing Salesforce account (unless that's the one you want to use). After adding an account it does not interfere with Salesforce sessions. You also need Chatter Connect API is not enabled for this organization or user type.
Also it is possible to add multiple Salesforce accounts to this extension - Unfortunately, the extension does not consolidate the feeds from multiple logins.
At the start when adding an user-account - it does feel a bit clunky - but later on its a smooth ride.
This extension can be installed from Chrome Webstore - here
Happy Chattering


method of class JsNgram
Description
Add to index by a document id, word and position.
The word is a sequence of text that do not have any delimiters
defined by the property ignore
.
This function uses the property shorter
to control key generation.
Example
self.add_words('a/b.txt', 'cat', 48)
Usage
add_words(path, content, start)
Argument path is a document id, usually a document path. Argument content is a word. Argument start is a position at the start of the content in the whole text.


threadpool
Overview
|
Reference
|
Tutorial
|
Examples
|
Design
Reference
Class List
|
Member Functions
|
Typedefs
|
File List
threadpool Class Index
E
|
F
|
I
|
L
|
P
|
R
|
S
|
T
|
W
E
empty_controller
(
boost::threadpool
)
F
fifo_scheduler
(
boost::threadpool
)
future
(
boost::threadpool
)
I
immediately
(
boost::threadpool
)
L
lifo_scheduler
(
boost::threadpool
)
looped_task_func
(
boost::threadpool
)
P
prio_scheduler
(
boost::threadpool
)
prio_task_func
(
boost::threadpool
)
R
resize_controller
(
boost::threadpool
)
S
static_size
(
boost::threadpool
)
T
thread_pool
(
boost::threadpool
)
W
wait_for_active_tasks
(
boost::threadpool
)
wait_for_all_tasks
(
boost::threadpool
)
E
|
F
|
I
|
L
|
P
|
R
|
S
|
T
|
W
Copyright © 2005-2008 Philipp Henkel
Overview
|
Reference
|
Tutorial
|
Examples
|
Design


Gratifying to finally write chapter imagined two years ago. Makes sense why some people write out of order, but I'm kind of a linear guy.
3/1/2009, 4:34:41 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Gratifying to finally write chapter imagined two years ago. Makes sense why some people write out of order, but I'm kind of a linear guy.
3/1/2009, 4:34:41 PM
Favs: 0
Retweets: 0
link


and
Request your presence at the celebration of their marriage.
Date:
Location:
Reception to follow.


|
SCIDB4GDAL
|
GDALDataset subclass implementing core GDAL functionality. More...
#include <scidbdriver.h>
Public Member Functions | |
| SciDBDataset (SciDBSpatialArray &array, ShimClient *client) | |
| The constructor of a SciDBDataset. More... | |
| ~SciDBDataset () | |
| ShimClient * | getClient () |
| Returns a pointer to the Shim client object. More... | |
| CPLErr | GetGeoTransform (double *padfTransform) |
| Returns affine transformation parameters. More... | |
| const char * | GetProjectionRef () |
| Returns WKT spatial reference string. More... | |
| char ** | GetMetadata (const char *pszDomain="") |
| Fetch Metadata for a domain. More... | |
| const char * | GetMetadataItem (const char *pszName, const char *pszDomain="") |
| Set single metadata item. More... | |
Static Public Member Functions | |
| static GDALDataset * | Open (GDALOpenInfo *poOpenInfo) |
| static int | Identify (GDALOpenInfo *poOpenInfo) |
| Checks if the data can be opened as a SciDB dataset. More... | |
| static GDALDataset * | CreateCopy (const char *pszFilename, GDALDataset *poSrcDS, int bStrict, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressData) |
| static CPLErr | Delete (const char *pszName) |
| Delete named dataset. More... | |
Static Protected Member Functions | |
| static void | gdalMDtoMap (char **strlist, map< string, string > &kv) |
| Converts a list of strings (key-value pairs) into a map of strings. More... | |
| static char ** | mapToGdalMD (map< string, string > &kv) |
| Returns a list of strings mit key-value pairs from a map of strings. More... | |
| static void | copyMetadataToArray (GDALDataset *poSrcDS, SciDBSpatialArray &array) |
| Copys the meta data from a source to the SciDB array representation. More... | |
| static void | uploadImageIntoTempArray (ShimClient *client, SciDBSpatialArray &array, GDALDataset *poSrcDS, GDALProgressFunc pfnProgress, void *pProgressData) |
| Transmits and stores an image into a temporal SciDB array. More... | |
| static bool | arrayIntegrateable (SciDBSpatialArray &src_array, SciDBSpatialArray &tar_array) |
| Checks if an array can be inserted into another array. More... | |
Friends | |
| class | SciDBRasterBand |
GDALDataset subclass implementing core GDAL functionality.
The SciDBDataset is a GDAL representation of a SciDB array. The data set holds information about the arrays features like dimensions, attributes and their statistics, as well as the ShimClient that is used to communicate with the Shim web client and also a TileCache that caches the chunked data, while downloading. The SciDBDataset is a subclass of the GDALDataset and it implements GDALs functions to Open, Identify and CreateCopy.
| scidb4gdal::SciDBDataset::SciDBDataset | ( | SciDBSpatialArray & | array, |
| ShimClient * | client | ||
| ) |
The constructor of a SciDBDataset.
This constructor needs a spatial array representation and a SHIM client representation to create a data set. Those classes will be created during different steps on the SciDBDriver (namely GDALDataset::Open and GDAL::CreateCopy). Those information are passed on to the data set in order to allow further processing steps like downloading an existing array,
| array | A scidb4gdal::SciDBSpatialArray that holds meta data of the SciDBArray. |
| client | The scidb4gdal::ShimClient that holds the connection information to the SHIM web client. |
| scidb4gdal::SciDBDataset::~SciDBDataset | ( | ) |
Destructor for SciDBDatasets
|
staticprotected |
Checks if an array can be inserted into another array.
This functions queries the SciDB data base whether or not an array can be inserted into another by checking various conditions.
| src_array | The source array metdata representation |
| tar_array | the target array metadata representation |
|
staticprotected |
Copys the meta data from a source to the SciDB array representation.
This function will be used to extract the meta data from the source dataset and copy this information to the target SciDBArray.
| poSrcDS | a pointer to a GDALDataset |
| array | a SciDBSpatialArray that will be modified (output) |
|
static |
Function for creating a new SciDB array based on an existing GDAL dataset.
|
static |
Delete named dataset.
| pszName | name of dataset to delete. |
|
staticprotected |
Converts a list of strings (key-value pairs) into a map of strings.
This function splits the strings of the strlist (KVP) into a map of strings as keys and values, e.g. "key=value" –> ("key", "value")
| strlist | a list of key-value pairs as individual strings |
| kv | the string map object (output) |
| ShimClient * scidb4gdal::SciDBDataset::getClient | ( | ) |
Returns a pointer to the Shim client object.
| CPLErr scidb4gdal::SciDBDataset::GetGeoTransform | ( | double * | padfTransform | ) |
Returns affine transformation parameters.
| padfTransform | a pointer to a double array with the size of 6 to store the affine transform parameters are stored. |
| char ** scidb4gdal::SciDBDataset::GetMetadata | ( | const char * | pszDomain = "" | ) |
Fetch Metadata for a domain.
| pszDomain | the domain of interest. Use "" or NULL for the default domain |
| const char * scidb4gdal::SciDBDataset::GetMetadataItem | ( | const char * | pszName, |
| const char * | pszDomain = "" |
||
| ) |
Set single metadata item.
| pszName | the key for the metadata item to fetch. |
| pszDomain | the value to assign to the key. |
| const char * scidb4gdal::SciDBDataset::GetProjectionRef | ( | ) |
Returns WKT spatial reference string.
|
static |
Checks if the data can be opened as a SciDB dataset.
Decides whether a dataset is a SciDB dataset or not. It mainly depends whether or not th connection string starts with the prefix "SCIDB:".
| poOpenInfo | GDAL opening options |
|
staticprotected |
Returns a list of strings mit key-value pairs from a map of strings.
This function transforms a map of strings into a list of KVP strings: e.g. ("key","value") –> "key=value"
| kv | The map of strings that represent keys and values |
|
static |
Function called by GDAL once a SciDB dataset is requested
|
staticprotected |
Transmits and stores an image into a temporal SciDB array.
| client | the ShimClient holding the necessary information to connect to the web client |
| array | the array representation that will be used to create an array an SciDB from |
| poSrcDS | the source GDAL data set in which the data is stored |
| pfnProgress | the progress function |
| pProgressData | the progress data |


Vault AIDE
Configuration
Connections
| Component | Addresses | TLS |
|---|---|---|
| Vault |
:
|
|
| Audit Devices |
:
|
|
| HTTP interface |
:
|
|
-
Notifications


Styleguide
Elements
### Primary action button This is for primary actions on a page. ```
Primary
```
### Error alerts ```
Your error message
```
⇧ Back to top


coinductive(Functor/Arity) coinductive((Functor1/Arity1, Functor2/Arity2, ...)) coinductive([Functor1/Arity1, Functor2/Arity2, ...]) coinductive(Template) coinductive((Template1, Template2, ...)) coinductive([Template1, Template2, ...])
This is an experimental directive, used for declaring coinductive predicates. Requires a back-end Prolog compiler with minimal support for cyclic terms. The current implementation of coinduction allows the generation of only the basic cycles. Use a predicate indicator as argument when all the coinductive predicate arguments are relevant for coinductive success. Use a template when only some coinductive predicate arguments (represented by a "+
") should be considered when testing for coinductive success (represent the arguments that should be disregarded by a "-
").
coinductive(+predicate_indicator_term) coinductive(+coinductive_predicate_template_term)
:- coinductive(comember/2). :- coinductive(controller(+,+,+,-,-)).


name
total Projects
Add a new Project
#
Project Name
collaborator
created at
1
Mark
Otto
@mdo
2
Jacob
Thornton
@fat
3
Larry
the Bird
@twitter


FilterableRecyclerAdapter()
Base implementation of RecyclerAdapter that is filterable by FilterDrawer
Data
- Your custom data type that implements DiffItemCallback
Parent
- Your custom parent type that extends ParentItem
Child
- Your custom child type that extends ChildItem
Author
Camerash
See Also


I had a blog in 2003 and 2004. I started it because I happened upon a blog engine written using ASP.NET (http://dasblog.codeplex.com), and I thought it’d be cool to see how the engine worked under the covers. I posted occasionally at http://enfieldfamily.com. The most popular post was, I think, a “here’s how you fix” something entry - I can’t remember for what - that came up first or second in searches. When I changed jobs toward the end of 2004 I started doing work that wasn’t going to generate posts, and the blog went dead.
Now, eight years later, I’ve read about another blog engine that looks interesting, in part because the guts are visible (http://octopress.org). My job is also now such that I may have things worth writing down. So I’ll try it again.
Some possible upcoming posts: credit where credit’s due for Octopress, which is pretty cool; info from the trenches about MSBuild, TFS, and ClickOnce projects.


Create custom landing pages with Omega that convert more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
With lots of unique blocks, you can easily build a page without coding.
With lots of unique blocks, you can easily build a page without coding.
With lots of unique blocks, you can easily build a page without coding.
Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
50+ Unique Design Blocks
Multiple Layouts
Mobile First Design
Fully Responsive
Bootstrap 4 Framework
Humanity Support
Lifetime Updates
Rich Documentation
Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
Create custom landing pages with Omega that converts more visitors than any website.
OMG! I cannot believe that I have got a brand new landing page after getting Omega. It was super easy to edit and publish.
Jonathan Taylor
CEO at Creativex
OMG! I cannot believe that I have got a brand new landing page after getting Omega. It was super easy to edit and publish.
Maria Stanley
Digital Marketer, Writer
Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.


Isar735.github.io
U.S. History help from expert tutors online 24/7! Understand key figures, events and dates for papers, tests and homework. Get a U.S. history tutor. HomeworkExpert - Online Tutoring and Problem Solving Math Tutor DVD - Online Math Help, Math Homework.
Free math learning resources for teachers and students - including games, flashcards, homework helpers, and worksheets. Find helpful math lessons, games, calculators, and more. Get math help in algebra, geometry, trig, calculus, or something else. Plus sports, money, and weather. Help with any math homework online – we can do your homework for you. Any difficulty math tasks and support.
Get a tutor 24/7 in 40+ subjects including Math, Science and English. We help thousands of students get better grades every day. Get an expert tutor.
Math.com Homework Help Algebra. Math Help: Do My Math Homework for Me Homeworkforschool. HomeworkSpot.com: Homework Help, Science Fair Project.
Provides a complete web based educational environment for K-12 and Higher-Education mathematics, accounting, statistics, and chemistry. Professional Homework Help for International Students. ALEKS -- Assessment and Learning, K-12, Higher Education. Homework Help - Math and Reading. Why you need professional help. Using a homework writing website to manage your math homework when you have no idea on what to do is probably one of the best moves. Math Homework Help - Answers to Math Problems - Hotmath. Online Tutoring Homework Help in Math, Science English. This Account has been suspended. Contact your hosting provider for more information. Tutoring homework help for math, chemistry, physics. Homework exam help by email, Skype, Whatsapp. I can help with your online class. Free study guides, cheat. That’s when online homework help services come in useful. such as Math, English, History, Science, If you do not need help with homework very often.
Get help from Chegg now! guided textbook solutions, expert answers, definitions Parents, students and teachers searching for Homework Help found the articles and resources below helpful. Exclusive homework help delivered by experienced professionals. Affordable and authentic custom written assignments designed for international students. Homework Help Professional Assignment Assistance Service. The Internet's premier ask-an-expert math help service. Ask Dr. Math a question using the Dr. Math Web form, or browse the extensive archive of previous questions. Get an expert homework help on more than 40 subjects delivered by the team of our professional writers tutors! 24/7 online help at maxhomework.com. Online Homework Help in Math, Science English.
Math homework help Get online help with mathematics. WebMath - Solve Your Math Problem. WebMath is designed to help you solve your math problems. Composed of forms to fill-in and then returns analysis of a problem and, when possible, provides a step-by. 24/7 Online Help - Do My Homework Tutor-Homework.com - Tutoring Homework Need help with math homework online. Sylvan Math Prep - Free Online Math Help Free Online. Free math lessons and math homework help from basic math to algebra, geometry and beyond. Students, teachers, parents, and everyone can find solutions to their. Get the professional online help with homework! Online homework. There is no need to worry about writing boring essays and solving math tasks anymore;. Free Math Help - Lessons, games, homework Math homework help. Hotmath explains math textbook homework problems with step-by-step math answers for algebra, geometry, and calculus. Online tutoring available.
Algebra Homework Help, Algebra Solvers, Free Math Tutors. Find the best K-12 homework resources organized by subject and grade-level at HomeworkSpot.com.
Math Dictionary: Homework Help for Families: Judith. KidInfo.com - Homework Help, Homework Help for Students,Teaching Aids, Lesson Plans, The Free Educational Tutorials, Games, Videos, and Powerpoints.
We can do your homework for you. Any class: Math, Biology, Physics, Programming and Chemistry. ツ Assignments made easy with our expert writing help.⓵ Whenever.
Homework Help Online - Get an Easy A+ Mark MaxHomework. Help With Homework Online - Homework Help Study. Math.com - World of Math Online. Homework help online - save your precious.
Find the solution to your issues with homework assignments at homework help At our site you get online homework help, If you need some questions. Math Tutor DVD provides math help online and on DVD in Basic Math, all levels of Algebra, Trig, Calculus, Probability, and Physics. Get algebra homework help now with Sylvan Math Prep an online math homework help website. View algebra and geometry videos and learn how to solve algebra equations. Math Dictionary: Homework Help for Families Judith de Klerk on Amazon.com. FREE shipping on qualifying offers. Can't remember the difference between a prime. Online Math Help Learning Resources. Algebra, math homework solvers, lessons and free tutors online.Pre-algebra, Algebra I, Algebra II, Geometry, Physics. Created by our FREE tutors.
Help with any math homework online – we can do your homework for you. Any difficulty math tasks support. Math Homework Help Do your Math 5Homework.com.
Online Tutoring and Homework Help via e-mail in Math, Statistics, Finance, Economics, Physics, Chemistry. Free online math help: review lessons, homework help, learning aids, examples, solutions, videos, games, puzzles and test preparation (eg SAT) for kids, teens. Aplusmath : Free Math Worksheets, Math Games Online U.S. History Tutors U.S. History Homework. Assignment Expert is the leading provider of homework help to students worldwide. Our online assignment help services are quite extensive and cover all types.


realpath
Display the resolved absolute path for a file or directory.
More information: home page
- Display the absolute path for a file or directory:
realpath path/to/file_or_directory
- Require all path components to exist:
realpath --canonicalize-existing path/to/file_or_directory
- Resolve ".." components before symlinks:
realpath --logical path/to/file_or_directory
- Disable symlink expansion:
realpath --no-symlinks path/to/file_or_directory
- Suppress error messages:
realpath --quiet path/to/file_or_directory


--- title: Exploring Internal Migration in the UK using ggraph author: '' date: '2019-12-24' slug: exploring-internal-migration-in-the-uk-using-ggraph categories: [] tags: - data viz - geospatial analysis - R summary: '' authors: [] external_link: '' image: caption: '' focal_point: '' preview_only: no url_code: '' url_pdf: '' url_slides: '' url_video: '' slides: '' ---
This analysis looks at trends in internal migration in the UK. The data comes from the UK’s Office for National Statistics, which publishes annual estimates of the number of people moving between each local authority in England and Wales. It is availble to download here.
As the data provides an estimate of the number of migrations for each local authority combination, it’s perfect for network analysis. Network analysis is concerned with the visualisation of relationships between different objects. Relationships in network analysis are often called ‘edges’, while the objects of the analysis are called ‘nodes’.
The excellent ggraph package is an extension to ggplot that provides a suite of functions for analysing and visulising networks. Here, we’ll use it to identify the flows of people between between different local authority areas.
The internal migration data comes in two separate csv files, which we’ll read in using the fread function from the data.table package. We’ll then bind these two files together.
The estimates provide a breakdown by gender, which we’re not interested in here. Because they’re model-based estimates, they’re also not whole numbers - so we add the figures for each gender together, and then round the estimate to the nearest whole number.
library(tidyverse)
migration <- data.table::fread("Detailed_Estimates_2018_Dataset_1_2019_LA_boundaries.csv") %>%
bind_rows(data.table::fread("Detailed_Estimates_2018_Dataset_2_2019_LA_boundaries.csv")) %>%
janitor::clean_names() %>%
# Counting total number of moves by age (including both genders) of both genders
group_by(out_la, in_la, age) %>%
summarise(moves = sum(moves) %>% round(0)) %>%
ungroup()
migration
## # A tibble: 1,093,317 x 4
## out_la in_la age moves
## <chr> <chr> <int> <dbl>
## 1 E06000001 E06000002 0 1
## 2 E06000001 E06000002 1 1
## 3 E06000001 E06000002 2 4
## 4 E06000001 E06000002 3 4
## 5 E06000001 E06000002 5 6
## 6 E06000001 E06000002 6 4
## 7 E06000001 E06000002 7 1
## 8 E06000001 E06000002 8 4
## 9 E06000001 E06000002 9 3
## 10 E06000001 E06000002 10 1
## # … with 1,093,307 more rows
The local authorities are here denoted by their GSS code. These codes are extremly useful when merging lots of different datasets together, as the names can often be written slighly differently. For our analysis however, the place names are more useful - so we’ll read in a seperate Excel file with a lookup of codes to names, so we can add these to our data.
Using the codes to names data, we can also attribute each local authority to an area of the England and Wales. This is important if we want to look at migration in a particular region, or merge a number of local authorities into a single node. Later in the analysis, we’ll merge all the London boroughs into a single node - we’re more interested in migration to London overall, than migration to any particular borough of London.
local_authority_codes <-
readxl::read_xlsx("lasregionew2018.xlsx", skip = 4) %>%
select("la_code" = 1, "la_name" = 2, "region" = 4)
london_codes <- local_authority_codes %>% filter(region == "London")
Migration between towns and cities
One challenge with the data is that it includes an estimate of migration or every possible local authority combination, even though many of these locations will be predominantly rural areas.
What we’re interested in is migration between larger urban areas. Fortunatly, Parliament.uk have published a breakdown of which local authorities are predominatly urban. For our analysis, we’ll take any local authority where the share of the population classified as living in a city or large town is greater than 70% - this leaves us with a list of around 100 large towns and cities, which we’ll merge into the data.
towns_and_cities <- read_csv("lauth-classification-csv.csv") %>%
filter(classification %in% c("Core City (London)", "Core City (outside London)",
"Other City", "Large Town")) %>%
filter(percent_of_localauth > 0.7) %>%
distinct(localauth_code, localauth_name) %>%
rename("la_code" = localauth_code, "la_name" = localauth_name)
# Merging the towns and cities into the migration data
migration <- migration %>%
inner_join(local_authority_codes %>% select(la_code, la_name), by = c("in_la" = "la_code")) %>%
semi_join(towns_and_cities, by = c("in_la" = "la_code")) %>%
select(-in_la) %>%
rename("in_la" = la_name) %>%
inner_join(local_authority_codes %>% select(la_code, la_name), by = c("out_la" = "la_code")) %>%
semi_join(towns_and_cities, by = c("out_la" = "la_code")) %>%
select(-out_la) %>%
rename("out_la" = la_name) %>%
select(out_la, in_la, age, moves)
Merging all the London Boroughs
We’ll now merge all the London boroughs, and join this back into the migration data.
moves_to_london <- migration %>%
filter(in_la %in% london_codes$la_name) %>%
filter(!(out_la %in% london_codes$la_name)) %>%
group_by(out_la, age) %>%
summarise(moves = sum(moves)) %>%
mutate(in_la = "London")
moves_from_london <- migration %>%
filter(out_la %in% london_codes$la_name) %>%
filter(!(in_la %in% london_codes$la_name)) %>%
group_by(in_la, age) %>%
summarise(moves = sum(moves)) %>%
mutate(out_la = "London")
moves_london <- bind_rows(moves_to_london, moves_from_london)
migration <- migration %>%
filter(!(in_la %in% london_codes$la_name)) %>%
filter(!(out_la %in% london_codes$la_name)) %>%
bind_rows(moves_london)
To visualise the network, we’ll need to build two datasets - one containing the towns and cities, which we’ll call ‘nodes’; and one containing the migration numbers for each combination, which we’ll call ‘edges’.
We won’t look at migration of all age groups - we’ll focus instead on those people aged between 23 and 30 years old. Typically, this is a time in life when people are more likely to migrate, as they may have recently finished their education and haven’t yet started a family or bought a home.
We’ll also add some other details to the nodes data - the region that the node is located in, as well as the total moves into the node. We’ll use both of these columns in the visuals later on.
# Creating the nodes data
nodes <- migration %>%
select(out_la) %>%
distinct() %>%
rowid_to_column(var = "id") %>%
rename("city" = out_la)
# Creating the edges data
edges <- migration %>%
group_by(out_la, in_la) %>%
# filtering those records where people are between 23 and 30 years old.
filter(age %in% c(23:30)) %>%
summarise(moves = sum(moves)) %>%
ungroup() %>%
left_join(nodes, by = c("out_la" = "city")) %>%
rename("from" = id)
edges <- edges %>%
left_join(nodes, by = c("in_la" = "city")) %>%
rename("to" = id)
edges <- edges %>% select(from, to, moves)
# Calculate the total moves into each area, and merging into the migration data
moves_total <- edges %>%
group_by(to) %>%
summarise(total_moves = sum(moves)) %>%
ungroup()
nodes <- nodes %>%
left_join(moves_total, by = c("id" = "to")) %>%
left_join(local_authority_codes %>% select(la_name, region), by = c("city" = "la_name"))
# Doing some basic cleaning
nodes[is.na(nodes$region),]$region <- "London"
nodes <- nodes %>%
arrange(region, id) %>%
mutate(city = fct_inorder(city))
To create the network visualisations, we need to convert the data into a specialist structure which gggraph
understands. We can do this using the graph_from_data_frame()
function from the igraph
package. The arguments to these functions are the edges and nodes dataframes we just created.
We can then pass the network data to the ggraph()
function to produce a network visualisation. The resulting plot is pretty, but not particularly useful - as there is some level of migration between all the town and cities, every node is connected. We’ll want to further refine our analysis as we progress.
library(ggraph)
library(igraph)
migration_net <- graph_from_data_frame(d = edges, vertices = nodes, directed = TRUE)
ggraph(migration_net, layout = 'kk') +
geom_edge_link(aes(alpha = moves), show.legend = FALSE) +
geom_node_point(aes(size = total_moves), show.legend = FALSE) +
scale_edge_width(range = c(0.2, 1))
Where contributes the most young people to London?
One way of approaching the data is to look at migration to a particular location, allowing us to see which town and cities contribute the most migrants. The code below does this for London, using the ‘linear’ layout of ggraph()
, with circular set to TRUE.
In preparing the edges data, we also only look at combinations of towns and cities where more 100 people moved to the city in question. This reduces the number of rows in the edges data from over 3,000 to 182.
Note that these edges are directed, so we can visualise not just migration to a city, but also migration from the city by setting the ‘directed’ parameter in ggraph()
to TRUE and using the function geom_edge_fan()
.
ldn_id <- nodes[nodes$city == "London", ]$id
edges %>%
filter(moves > 100) %>%
mutate(london = if_else(to %in% ldn_id | from %in% ldn_id, TRUE, FALSE)) %>%
graph_from_data_frame(vertices = nodes, directed = TRUE) %>%
ggraph(layout = 'linear', circular = TRUE) +
geom_edge_fan(aes(alpha = moves, col = london, width = moves), arrow = arrow(length = unit(2, "mm")),
end_cap = circle(4, "mm"), show.legend = FALSE) +
geom_node_point(aes(size = total_moves), shape = 21, show.legend = FALSE, col = "skyblue") +
geom_node_text(aes(label = city), alpha = 0.5, family = "Segoe UI Light") +
scale_alpha_continuous(range = c(0.1, 0.5)) +
scale_edge_width(range = c(0.2, 1)) +
scale_edge_color_manual(values = c("TRUE" = "skyblue", "FALSE" = "lightgrey")) +
theme_graph(background = "white", base_family = "Segoe UI Light") +
labs(title = "Sources of young person migration to London")
In the above plot, thicker lines denote higher levels of migration.
If we want to do this for other towns and cities, we can create a function to quickly generate new plots. This saves a lot of copying and pasting.
plot_migration <- function(city, color = "skyblue") {
city_id <- nodes[nodes$city == city, ]$id
nodes_city <- nodes %>% mutate(target_city = if_else(city_id == id, TRUE, FALSE))
edges %>%
filter(moves > 100) %>%
mutate(city_to_from = if_else(to %in% city_id | from %in% city_id, TRUE, FALSE)) %>%
graph_from_data_frame(vertices = nodes_city, directed = TRUE) %>%
ggraph(layout = 'linear', circular = TRUE) +
geom_edge_fan(aes(col = city_to_from, alpha = city_to_from, width = moves),
arrow = arrow(length = unit(2, "mm")),
end_cap = circle(4, "mm"), show.legend = FALSE) +
geom_node_point(aes(col = target_city), shape = 21, show.legend = FALSE) +
geom_node_text(aes(label = city), alpha = 0.5, family = "Segoe UI Light") +
scale_edge_width(range = c(0.2, 1)) +
scale_edge_alpha_discrete(range = c(0.2, 1)) +
scale_edge_color_manual(values = c("TRUE" = color, "FALSE" = "lightgrey")) +
scale_color_manual(values = c("TRUE" = color, "FALSE" = "lightgrey")) +
theme_graph(background = "white", base_family = "Segoe UI Light") +
labs(title = paste0("Sources of young person migration to ", city))
}
Calling our function will then generate the formatted plot.
plot_migration(city = "Manchester", color = "red")
plot_migration(city = "Bristol, City of", color = "darkblue")
How are different towns and cities connected?
After we set our threshold for sizeable migration to 100 people, we may then want to explore how connected the different towns and cities are - e.g. are there areas which have sizeable migration flows to lots of other cities, and are there locations which have no sizeable migration flows?
This is what the plot below shows. London is the centre, as it has the most connections of any area. We can also pick out locations like Bristol and Birmingham, which have a lot of connections too.
On the edges of the visualisation, we can see locations like Blackburn and Hartlepool, which have no connections to any areas - these locations do not see any sizeable migration of young people either in or out.
migration_net <- graph_from_data_frame(d = edges %>% filter(moves > 100),
vertices = nodes, directed = TRUE)
ggraph(migration_net, layout = "kk") +
geom_edge_fan(aes(alpha = moves), arrow = arrow(length = unit(2, "mm")),
end_cap = circle(4, "mm"), show.legend = FALSE) +
geom_node_point(shape = 21) +
scale_edge_width(range = c(0.2, 1)) +
geom_node_text(aes(label = city), alpha = 0.5, family = "Segoe UI Light") +
labs(title = "Migration of young people between England and Wales' largest towns and cities") +
theme_graph(border = FALSE, title_family = "Segoe UI Light")
Where are the key hubs of migration across the regions of England and Wales?
We can also build a visualisation by region, exploring how interconnected towns and cities are within a particular refion. To do this, we’ll need to re-create out network data to include only flows where the migration is inside the region. We’ll also lower the threshold of migration in the edges from 100 people to 50 people.
migration_intra_region <- migration %>%
left_join(local_authority_codes %>% select("out_la" = la_name, "out_region" = region)) %>%
left_join(local_authority_codes %>% select("in_la" = la_name, "in_region" = region)) %>%
filter(!is.na(out_region)) %>% # Removes London
filter(out_region == in_region) %>%
filter(age %in% c(23:30)) %>%
group_by(out_la, in_la, out_region, in_region) %>%
summarise(moves = sum(moves)) %>%
ungroup()
nodes <- migration_intra_region %>%
select(out_la, out_region) %>%
distinct() %>%
rowid_to_column(var = "id") %>%
rename("city" = out_la, "region" = out_region)
edges <- migration_intra_region %>%
left_join(nodes, by = c("out_la" = "city")) %>%
rename("from" = id)
edges <- edges %>%
left_join(nodes %>% rename("in_la" = city, "in_region" = region)) %>%
rename("to" = id)
edges <- edges %>% select(from, to, moves)
migration_intra_region_network <- graph_from_data_frame(d = edges %>% filter(moves > 50),
vertices = nodes, directed = TRUE)
The visualisation below is very informative. We can see in the East, for instance, that only Cambridge, Norwich, Ipswich and Colchester have sizeable migration flows in their region.
In the South West, all locations are linked to Bristol, though almost all the other locations don’t have sizeable migration flows between them. The picture is similar in the West Midlands, where Birmingham is the centre of migration but the other locations are generally not connected.
ggraph(migration_intra_region_network, layout = 'kk') +
geom_edge_fan(aes(alpha = moves),
arrow = arrow(length = unit(2, "mm")),
end_cap = circle(2, "mm"),
show.legend = FALSE) +
geom_node_point(show.legend = FALSE) +
geom_node_text(aes(label = city)) +
scale_edge_width(range = c(0.1, 5)) +
facet_nodes(~region, scales = "free", ncol = 2)
Visualising the migration flows on a map
A great feature of ggraph
is the ability to create your own layouts. This allows us, using a shapefile we’ll read in now, to place the nodes on a map of England and Wales and draw the connections between them.
We’ll read in two shapefiles to do this. One that contains the local authorities shapes, from which we’ll take the centroids get the lat lons of each city. The other is an outline of the UK, which we’ll use only for the data visualisation.
library(sf)
uk_map <- read_sf("uk map",
"Local_Authority_Districts_December_2017_Full_Clipped_Boundaries_in_Great_Britain") %>%
select("la_code" = 2, "la_name" = 3) %>%
st_transform(crs = 4326)
cities_coords <- semi_join(uk_map, towns_and_cities, by = "la_code") %>%
st_centroid(uk_map)
cities_coords <- cities_coords %>%
mutate(long = st_coordinates(.)[,1],
lat = st_coordinates(.)[,2]) %>%
as.data.frame() %>%
select(-geometry) %>%
as_tibble()
uk_map_outline <- read_sf("uk map", "NUTS_Level_1_January_2018_Ultra_Generalised_Clipped_Boundaries_in_the_United_Kingdom") %>%
st_transform(crs = 4326) %>%
filter(!(nuts118nm %in% c("Scotland", "Northern Ireland"))) %>%
st_union()
We’ll now need to re-create our nodes and edges, merging in the latitude and longitude of all the towns and cities.
nodes <- migration %>%
select(out_la) %>%
distinct() %>%
rowid_to_column(var = "id") %>%
rename("city" = out_la)
edges <- migration %>%
group_by(out_la, in_la) %>%
filter(age %in% c(23:30)) %>%
summarise(moves = sum(moves)) %>%
ungroup() %>%
left_join(nodes, by = c("out_la" = "city")) %>%
rename("from" = id)
edges <- edges %>%
left_join(nodes, by = c("in_la" = "city")) %>%
rename("to" = id)
edges <- edges %>% select(from, to, moves)
cities_coords <- cities_coords %>%
right_join(nodes, by = c("la_name" = "city")) %>%
select(-la_code)
cities_coords[cities_coords$la_name == "London",]$long <- 0.1278
cities_coords[cities_coords$la_name == "London",]$lat <- 51.5074
moves_total <- edges %>%
group_by(to) %>%
summarise(total_moves = sum(moves)) %>%
ungroup() %>%
rename("id" = to)
nodes <- nodes %>% left_join(moves_total, by = "id")
We can now create the custom node layout using the create_layout()
function, passing it the coordinates from the cities_coords dataframe.
migration_coords <- graph_from_data_frame(d = edges %>% filter(moves > 50), vertices = nodes, directed = TRUE)
migration_coords <- create_layout(migration_coords,
layout = bind_cols(list("x" = cities_coords$long, "y" = cities_coords$lat)))
We can then pass this into a call to ggraph()
, producing the resulting visualisation.
ggraph(migration_coords) +
geom_edge_fan(aes(alpha = moves, width = moves, col = moves), arrow = arrow(length = unit(2, "mm")),
end_cap = circle(4, "mm"), show.legend = FALSE) +
geom_node_point(aes(size = total_moves), col = "darkgrey", show.legend = FALSE) +
geom_node_text(aes(label = city), vjust = -0.5, family = "Segoe UI Light",
size = 5, color = "darkgrey") +
scale_alpha_continuous(range = c(0.1, 0.5)) +
scale_edge_width(range = c(0.2, 1)) +
scale_edge_color_distiller(palette = "Reds") +
geom_sf(data = uk_map_outline, fill = NA, col = "lightgrey", size = 0.1) +
labs(title = "Internal Migration of young people between England and Wales's largest towns and cities") +
theme_graph(border = FALSE, title_family = "Segoe UI Light",
title_colour = "darkgrey", title_size = 20,
background = "#0E0E16")
We can see from the above visualisation that a large share of the internal migration of 23 - 30 year olds in England and Wales is people moving to London.
If we want to focus in on migration to and from a particular city, we can create a function that produces a visual similar to the one above, but that highlights the edges that connect to the city in question.
plot_migration_map <- function(city, color = "skyblue"){
city_id <- nodes[nodes$city == city,]$id
edges <- edges %>% mutate(is_city = to %in% city_id | from %in% city_id)
nodes <- nodes %>% mutate(is_city = id == city_id)
migration_coords <- graph_from_data_frame(d = edges %>% filter(moves > 50), vertices = nodes, directed = TRUE)
migration_coords <- create_layout(migration_coords,
layout = bind_cols(list("x" = cities_coords$long, "y" = cities_coords$lat)))
ggraph(migration_coords) +
geom_edge_fan(aes(width = moves, col = is_city == TRUE, alpha = is_city),
arrow = arrow(length = unit(2, "mm")),
end_cap = circle(4, "mm"), show.legend = FALSE) +
geom_node_point(aes(size = total_moves), col = "darkgrey", alpha = 0.1, show.legend = FALSE) +
geom_node_text(aes(label = city, color = is_city), vjust = -0.5, family = "Segoe UI Light",
size = 6, show.legend = FALSE) +
scale_color_manual(values = c("TRUE" = color, "FALSE" = "darkgrey")) +
scale_edge_width(range = c(0.2, 1)) +
scale_edge_alpha_discrete(range = c(0.1, 4)) +
scale_edge_color_manual(values = c("TRUE" = color, "FALSE" = "darkgrey")) +
geom_sf(data = uk_map_outline, fill = NA, col = "lightgrey", size = 0.1) +
labs(title = paste0("Internal Migration of young people to and from ", city)) +
theme_graph(border = FALSE, title_family = "Segoe UI Light",
title_colour = "darkgrey",
background = "#0E0E16")
}
We can then plot any location we’re interested in to identify how the number and geographic spread of their connections vary.
plot_migration_map(city = "Birmingham", color = "#9A054A")
plot_migration_map("Manchester", color = "red")
plot_migration_map("Cambridge", color = "#ED700A")
plot_migration_map("Norwich", color = "#BBCEA4")


Just over 1/3rd of all $HUSH that will ever come into existence has already been mined!
Current circulating supply is ~7.2M of 21M and ~113K HUSH is currently in shielded addresses, i.e. ~1.6%.
Our very first halving happens in about 450 days.
Real facts for real investors.


There were no mobile phones in 1993!
Try this Jurassic Park computer simulator on a desktop computer,
or check out the
Jurassic Park Console Simulator
,
or go back to the
Home Page
!
Fence failure !
Fence failure !
Fence failure !
Fence failure !
Major Malfunction !
Unarmed
Location
main:
x = 90
y = 73
z = 12
Security
Power
Fence
Area
entry
t099
t098
t097
t096
t096
z00h
z02h
z04h
z06h
z08h
g234
g235
g236
g237
Keys
cx y01
cx y02
cx y03
cx y04
cx y05
cx y06
cx y07
cx y08
jq w
jq 10
jq 09
jq 08
jq 07
jq 06
jq 05
jq 04
jq 03
jq 02
jq 01
jq 00
Level
L
H
1
2
3
LL
HH2
Tour Running
LEVEL
G
Tour Surveillance
VIEW: TBA where2 ba chase3
LEVEL
G
Isla Nublar, Costa Rica
Vehicle
Tour
Power
Time
vehicle status
headlights on
12
Not Responding
Vehicle type:
Ford explorer
exp 4
exp 5
exp 6
exp 7
Hold
Quit
New
Next
◄◄
►►
►
■
Glitches
Maps
System
Emerg.
Vehicle Inspection
Eugeno Remirez-mechanic
Muffler Bearings frozen
Drive Trainer- Brian Elliot
Headlights On
Wind Main Clutch Belt
Trash
MiniArray 1 G
MiniArray 1 G
Macintosh HD


{# This include defines various popup modals to manage HWI interaction. Handles all necessary Ajax calls to the server and maintains HWI wallet state (to the extent possible on a given website page). Assumes that the general-purpose overlay.html has already been included. #}
{# ====================== INITIALIZATION / UNLOCKING ======================= #}


This text and the heading above it wont change unless you do a page refresh :-p.
This is because diffy is not monitoring these dom areas.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.chromium.sdk.util.AsyncFutureMerger<T>
T
- type of sub-operation resultpublic class AsyncFutureMerger<T>
A class that provides an AsyncFuture
for a group operation: one that consists of any
number of sub-operations and completes once all of them have completed.
The class does not care about nature of sub-operations, it only keeps their number. User
registers new sub-operations (addSubOperation()
) and reports on their completion
(subOperationDone(T)
and (subOperationDoneSync(java.lang.RuntimeException)
). One sub-operation is registered
by default. Once all sub-operations completed,
the main operation is considered done and the future returns the group result. Groups result is
a list of sub-operation results.
| Constructor Summary | |
|---|---|
AsyncFutureMerger()
|
| Method Summary | |
|---|---|
void |
addSubOperation()
Registers a new sub-operation. |
AsyncFuture<java.util.List<T>> |
getFuture()
Returns AsyncFuture that provides the group result. |
void |
subOperationDone(T result)
Registers a sub-operation completion and saves its result. |
void |
subOperationDoneSync(java.lang.RuntimeException exception)
Additionally registers a sub-operation completion. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public AsyncFutureMerger()
| Method Detail |
|---|
public void addSubOperation()
public void subOperationDone(T result)
public void subOperationDoneSync(java.lang.RuntimeException exception)
subOperationDone(T)
and this call is mandatory and must be made even in case of
sub-operation failure; this method is typically called form finally section of
the top-level procedure.
Other threads may block infinitely unless this method is being called a proper number of times.
This method is not thread-safe. User must synchronize access himself.
exception
- optional value of a failure that prevented corresponding call
to subOperationDone(T)
public AsyncFuture<java.util.List<T>> getFuture()
AsyncFuture
that provides the group result.
This method is thread-safe.
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Gatekeeper Ziggurat:
A human voice seems to emanate from a shining, blue globe:
Behold the gateway to the Forbidden Sacred Area! My job is to guard it, and you cannot pass without my permission.
Teleport
Enter the Dimensional Rift
Quest


While I appreciate your enthusiasm, mail is not secure enough for IAM purposes.
Our agent should have provided you with details about your assignment. Follow the instructions, and we'll be in touch.
Omega


These sweet aussie doggies only punch when approached or when they approach you
Often rumored to carry above-average muscle mass, Kangaroos are only about as powerful as a tall, drunk man
Crikey! These majestic creatures almost certainly aren't sure how to wallop tourists*
Kangaroos are often stylized in art to be wearing boxing gloves. This is an exaggeration! They don't wear them, ever


val sections: List<AudioSection>
Sections are defined by large variations in rhythm or timbre, e.g. chorus, verse, bridge, guitar solo, etc. Each section contains its own descriptions of tempo, key, mode, time_signature, and loudness.
sections
- Sections are defined by large variations in rhythm or timbre, e.g. chorus, verse, bridge, guitar
solo, etc. Each section contains its own descriptions of tempo, key, mode, time_signature, and loudness.


This package performs contact handling, and is essentially internal to JBox2d. The only reason you would ever need to dip into the package is to add additional shapes or object types to JBox2d.


These plants are common weeds in saltmarsh, chenier ridges, coastal berms and tidal/freshwater wetlands of the Gulf St Vincent area. Plants in the list below that have a hyperlink are linked to photographs. Please note the copyright information at the bottom of this page.
Scientific name |
Common name |
Western coastal wattle |
|
Golden wreath wattle |
|
Century plant, sisal plant |
|
Ammophila arenaria |
Marram grass |
Capeweed |
|
Cape beach daisy, dune arctotheca |
|
Great brome |
|
European sea-rocket |
|
Hottentot fig, South African pigface |
|
Critesion hystrix (sometimes placed in Hordeum) |
Mediterranean barleygrass |
Wild artichoke |
|
Pyp grass |
|
Elymus elongatus (or Thinopyrum elongatum) |
Tall wheat grass |
Elymus farctus (or Thinopyrum junceum) |
Sea wheat grass |
Emex spp. |
Three-cornered jack |
African lovegrass |
|
Mediterranean spurge, sea-spurge |
|
| Euphorbia terracina | False caper, carnation weed |
Coastal galenia |
|
Gazania |
|
Spiny rush |
|
Hare's-tail grass |
|
Lavatera (Malva) arborea |
Tree mallow |
Limonium lobatum |
Statice, winged sea-lavender |
Limonium X campanyonis |
Sea lavender |
African boxthorn |
|
Horehound |
|
Honeyflower |
|
Common ice-plant |
|
Slender ice-plant |
|
Myrsiphyllum asparagoides (Asparagus asparagoides) |
Bridal creeper |
Tree tobacco |
|
Evening primrose |
|
Olive tree |
|
Curly rye, coast barbgrass |
|
Calomba daisy |
|
Rapistrum rugosum |
Turnip weed |
Castor oil plant |
|
Guildford grass, onion grass |
|
Silver-leaf nightshade, white horse nettle |
|
Tamarisk or Athel pine |
|
Watsonias |
|
Bathurst burr |
|
Noogoora burr |
The plants with a hyperlink are linked to photographs. Many of these are links to the Western Australian Herbarium's FloraBase photographic database, Australian National Botanic Garden's excellent database of pictures housed in Canberra, Rutgers State University's Weed Gallery, the South-West School of Botanical Medicine, the Flora of Europe site, the Epidemie project and Texas A&M University. Other photographs have been supplied by Delta Environmental Consulting. Please respect the photographers' copyright. Contact the copyright owners through their websites if you wish to use any of their photographs for commercial uses. Contact Delta Environmental Consulting by email.
Return to Home page


Publications
Peer Reviewed Publications
Note: authorship is alphabetical
Multi-Attribute Tradespace Exploration for Survivability A. Ross, D. Stein, D. Hastings, Journal of Spacecraft and Rockets vol. 51 no. 5 (2014)
Constraint-aware Coordinated Construction of Generic Structures D. Stein (presenter), T. Schoen, D. Rus, International Conference on Intelligent Robots (2011)
Experiments in Decentralized Robot Construction with Tool Delivery and Assembly Robots A. Bolger, M. Faulkner, D. Stein (presenter), L. White, S. Yun, D. Rus, International Conference on Intelligent Robots (2010)
Multi-Attribute Tradespace Exploration for Survivability: Application to Satellite Radar M. Richards, A. Ross, D. Stein, D. Hastings, American Institute of Aeronautics and Astronautics SPACE Forum (2009)
Book Chapters
Toronto Tomorrow: The Master Innovation and Development Plan for the Quayside District Vol. 2 Ch. 5: “Digital Innovation” (2018)
Patents
Methods, systems, and media for secure authentication of users using one or more biometric recognition systems David Stein, provisional application, filed 2019
Identity systems, methods, and media for auditing and notifying users concerning verifiable claims David Stein, John Wittrock, provisional application 62/775,897, filed 2018
Methods, systems, and media for recovering identity information in verifiable claims-based systems David Stein, John Wittrock, provisional application 62/775,887, filed 2018
Secure methods, systems, and media for generating and authenticating user credentials David Stein, John Wittrock, provisional application 62/698,662, filed 2018
A method using facial recognition without storing information that can be used to recognize a user’s face without their permission David Stein, Ryan Villim, John Wittrock, provisional application 62/698,666, filed 2018
Presenting data in response to an incomplete query David Stein, U.S. Patent 9,235,636 filed Dec. 20, 2012, Issued Jan. 12, 2016
Authorization review system David Stein, U.S. Patent 9,497,253 filed Apr. 9, 2013, Issued Nov. 15, 2016
Unified interface for querying data in legacy databases and current databases David Stein, U.S. Patent Application 13,737,322 filed Jan. 9, 2013


Help me
Link EearthSure, a lot of web design involves picking the right colors and getting the coolest look for your pages, but when it comes right down to it, you probably spend more of your time worrying about where text will go and how it will look. Such concerns gave rise to HTML tags such as FONT and CENTER which give you some measure of control over the appearance and placement of text.


DIR(1) User Commands DIR(1) NAME dir - list directory contents SYNOPSIS dir [OPTION]... [FILE]... DESCRIPTION List information about the FILEs (the current directory by default). Sort entries alphabetically if none of -cftuvSUX nor --sort is specified. Mandatory arguments to long options are mandatory for short options too. -a, --all do not ignore entries starting with . -A, --almost-all do not list implied . and .. --author with -l, print the author of each file -b, --escape print C-style escapes for nongraphic characters --block-size=SIZE scale sizes by SIZE before printing them. E.g., `--block-size=M' prints sizes in units of 1,048,576 bytes. See SIZE format below. -B, --ignore-backups do not list implied entries ending with ~ -c with -lt: sort by, and show, ctime (time of last modification of file status information) with -l: show ctime and sort by name oth‐ erwise: sort by ctime, newest first -C list entries by columns --color[=WHEN] colorize the output. WHEN defaults to `always' or can be `never' or `auto'. More info below -d, --directory list directory entries instead of contents, and do not dereference symbolic links -D, --dired generate output designed for Emacs' dired mode -f do not sort, enable -aU, disable -ls --color -F, --classify append indicator (one of */=>@|) to entries --file-type likewise, except do not append `*' --format=WORD across -x, commas -m, horizontal -x, long -l, single-column -1, verbose -l, vertical -C --full-time like -l --time-style=full-iso -g like -l, but do not list owner --group-directories-first group directories before files. augment with a --sort option, but any use of --sort=none (-U) dis‐ ables grouping -G, --no-group in a long listing, don't print group names -h, --human-readable with -l, print sizes in human readable format (e.g., 1K 234M 2G) --si likewise, but use powers of 1000 not 1024 -H, --dereference-command-line follow symbolic links listed on the command line --dereference-command-line-symlink-to-dir follow each command line symbolic link that points to a directory --hide=PATTERN do not list implied entries matching shell PATTERN (overridden by -a or -A) --indicator-style=WORD append indicator with style WORD to entry names: none (default), slash (-p), file-type (--file-type), classify (-F) -i, --inode print the index number of each file -I, --ignore=PATTERN do not list implied entries matching shell PATTERN -k like --block-size=1K -l use a long listing format -L, --dereference when showing file information for a symbolic link, show informa‐ tion for the file the link references rather than for the link itself -m fill width with a comma separated list of entries -n, --numeric-uid-gid like -l, but list numeric user and group IDs -N, --literal print raw entry names (don't treat e.g. control characters spe‐ cially) -o like -l, but do not list group information -p, --indicator-style=slash append / indicator to directories -q, --hide-control-chars print ? instead of non graphic characters --show-control-chars show non graphic characters as-is (default unless program is `ls' and output is a terminal) -Q, --quote-name enclose entry names in double quotes --quoting-style=WORD use quoting style WORD for entry names: literal, locale, shell, shell-always, c, escape -r, --reverse reverse order while sorting -R, --recursive list subdirectories recursively -s, --size print the allocated size of each file, in blocks -S sort by file size --sort=WORD sort by WORD instead of name: none -U, extension -X, size -S, time -t, version -v --time=WORD with -l, show time as WORD instead of modification time: atime -u, access -u, use -u, ctime -c, or status -c; use specified time as sort key if --sort=time --time-style=STYLE with -l, show times using style STYLE: full-iso, long-iso, iso, locale, +FORMAT. FORMAT is interpreted like `date'; if FORMAT is FORMAT1<newline>FORMAT2, FORMAT1 applies to non-recent files and FORMAT2 to recent files; if STYLE is prefixed with `posix-', STYLE takes effect only outside the POSIX locale -t sort by modification time, newest first -T, --tabsize=COLS assume tab stops at each COLS instead of 8 -u with -lt: sort by, and show, access time with -l: show access time and sort by name otherwise: sort by access time -U do not sort; list entries in directory order -v natural sort of (version) numbers within text -w, --width=COLS assume screen width instead of current value -x list entries by lines instead of by columns -X sort alphabetically by entry extension -Z, --context print any SELinux security context of each file -1 list one file per line --help display this help and exit --version output version information and exit SIZE may be (or may be an integer optionally followed by) one of follow‐ ing: KB 1000, K 1024, MB 1000*1000, M 1024*1024, and so on for G, T, P, E, Z, Y. Using color to distinguish file types is disabled both by default and with --color=never. With --color=auto, ls emits color codes only when standard output is connected to a terminal. The LS_COLORS environment variable can change the settings. Use the dircolors command to set it. Exit status: 0 if OK, 1 if minor problems (e.g., cannot access subdirectory), 2 if serious trouble (e.g., cannot access command-line argument). AUTHOR Written by Richard M. Stallman and David MacKenzie. REPORTING BUGS Report dir bugs to<EMAIL_ADDRESS>GNU coreutils home page: <http://www.gnu.org/software/coreutils/> General help using GNU software: <http://www.gnu.org/gethelp/> Report dir translation bugs to <http://translationproject.org/team/> COPYRIGHT Copyright © 2011 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>. This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. SEE ALSO The full documentation for dir is maintained as a Texinfo manual. If the info and dir programs are properly installed at your site, the command info coreutils 'dir invocation' should give you access to the complete manual. GNU coreutils 8.12.197-032bb September 2011 DIR(1)


Question 3
True or False - Although men in the US have a higher rate of alcohol dependence than women, in the EU, women have a higher rate.
True
False
Submit


Susan Granger's review of "WAKING NED DEVINE" (Fox Searchlight Pictures)
Every now and then, a movie reviewer discovers an absolute gem - and this is a sparkler! In the remote Irish village of Tulaigh Morh (pronounced Tullymore), population 52, someone holds a winning lottery ticket worth almost seven million pounds (more than $11 million) - but who can it be? That's the question that obsesses Jackie O'Shea (Ian Bannon), his wife Annie (Fionnula Flanagan) and their friend, Michael O'Sullivan (David Kelly). Determined to discover and befriend the lucky winner in order to share some of the prize money, they entice and ingratiate themselves to their 49 neighbors, including a malodorous pig farmer (James Nesbitt), his poetic lady love (Susan Lynch), and nasty Lizzy Quinn (Eileen Dromey). When they think they've canvassed everyone, they discover one man is missing: Ned Devine (Jimmy Keogh). And a search quickly determines he, indeed, is the winner - only, the sweet, old geezer has dropped dead from the shock of his good fortune. "They say money changes a man and there's no greater change than moving a man from life to death," they muse. So, what's a sod to do? Jackie and Michael slyly decide on a wee tad of fraud and a crazed bit of blarney, determining that one of them should impersonate Ned Devine and claim the winnings, which will then be equally divided among the villagers if everyone will go along with the crazy charade. Writer/director Kirk Jones cleverly creates quirky, charming, genuinely touching characters who embark on a wonderfully exuberant adventure. And some scenes - like the men's naked bicycle ride and re-arranging the corpse's facial expression - are truly laugh-out-loud funny. On the Granger Movie Gauge of 1 to 10, "Waking Ned Devine" is a whimsical, mischievous 8. Enjoy the fun and you'll feel like a winner!
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


×
Current submission policy:
In order to ensure data quality, we currently restrict data submission to MD data which will be published (peer-reviewed process).
You can upload your data prior to publication for the peer-review process (restricted access only for user and reviewer). Upon paper acceptance, your MD data will be published on this online resource.
Do you want to submit a simulation?
Please contact us at<EMAIL_ADDRESS>and we will provide you a registration link.


A sprite toolkit built on top of Flutter.
Typedefs
-
ActionCallback(
) → void -
Signature for callbacks used by the ActionCallFunction.
-
PointSetterCallback(
Point value) → void -
Signature for callbacks used by the ActionSpline to set a Point value.
-
SetterCallback(
value) → void -
Signature for callbacks for setting properties, used by ActionTween.
Functions
-
convertDegrees2Radians(
double degrees) → double -
Converts degrees to radians.
-
convertRadians2Degrees(
double radians) → double -
Converts radians to degrees.
-
randomBool(
) → bool -
Returns either
true
orfalse
in a most random fashion. -
randomDouble(
) → double -
Returns a random double in the range of 0.0 to 1.0.
-
randomInt(
int max) → int -
Returns a random int from 0 to max - 1.
-
randomSignedDouble(
) → double -
Returns a random double in the range of -1.0 to 1.0.
Enums
- EffectLineAnimationMode
-
Used by EffectLine to determine how the texture of the line is animated.
- EffectLineWidthMode
-
Used by EffectLine to determine how the width of the line is calculated.
- SpriteBoxTransformMode
-
Options for setting up a SpriteBox's coordinate system.
Classes
- Action
-
Actions are used to animate properties of nodes or any other type of objects. The actions are powered by an ActionController, typically associated with a Node. The most commonly used action is the ActionTween which interpolates a property between two values over time.
- ActionCallFunction
-
An action that calls a custom function when it is fired.
- ActionController
-
A class the controls the playback of actions. To play back an action it is passed to the ActionController's run method. The ActionController itself is typically a property of a Node and powered by the SpriteBox.
- ActionDelay
-
An action that doesn't perform any other task than taking time. This action is typically used in a sequence to space out other events.
- ActionGroup
-
An action that plays the supplied actions in parallell. The duration of the ActionGroup will be the maximum of the durations of the actions used to compose this action.
- ActionInstant
-
An action that doesn't have a duration. If this class is overridden to create custom instant actions, only the fire method should be overriden.
- ActionInterval
-
The abstract class for an action that changes properties over a time interval, optionally using an easing curve.
- ActionRemoveNode
-
An action that removes the supplied node from its parent when it's fired.
- ActionRepeat
-
An action that repeats another action a fixed number of times.
- ActionRepeatForever
-
An action that repeats an action an indefinite number of times.
- ActionSequence
-
An action that plays a number of supplied actions in sequence. The duration of the ActionSequence with be the sum of the durations of the actions passed in to the constructor.
- ActionSpline
-
The spline action is used to animate a point along a spline definied by a set of points.
- ActionTween
-
An action that tweens a property between two values, optionally using an animation curve. This is one of the most common building blocks when creating actions. The tween class can be used to animate properties of the type Point, Size, Rect, double, or Color.
- ColorSequence
-
A sequence of colors representing a gradient or a color transition over time. The sequence is represented by a list of colors and a list of colorStops, the stops are normalized values (0.0 to 1.0) and ordered in the list. Both lists have the same number of elements.
- Constraint
-
A constraint limits or otherwise controls a Node's properties, such as position or rotation. Add a list of constraints by setting the Node's constraints property.
- ConstraintPositionToNode
-
A Constraint that constrains the position of a node to equal the position of another node, optionally with dampening.
- ConstraintRotationToMovement
-
A Constraint that aligns a nodes rotation to its movement.
- ConstraintRotationToNode
-
A Constraint that rotates a node to point towards another node. The target node is allowed to have a different parent, but they must be in the same SpriteBox.
- ConstraintRotationToNodeRotation
-
A Constraint that copies a node's rotation, optionally with dampening.
- EffectLine
-
The EffectLine class is using the TexturedLine class to draw animated lines. These can be used to draw things such as smoke trails, electricity effects, or other animated types of lines.
- GameMath
-
Provides convenience methods for calculations often carried out in graphics. Some of the methods are returning approximations.
- ImageMap
-
The ImageMap is a helper class for loading and keeping references to multiple images.
- Label
-
Labels are used to display a string of text in a the node tree. To align the label, the textAlign property of the
TextStyle
can be set. - Layer
-
A Node that provides an intermediate rendering surface in the sprite rendering tree. A Layer can be used to change the opacity, color, or to apply an effect to a set of nodes. All nodes that are children to the Layer will be rendered into the surface. If the area that is needed for the children to be drawn is know, the layerRect property should be set as this can enhance performance.
- NineSliceSprite
-
A NineSliceSprite is similar to a Sprite, but it it can strech its inner area to fit the size of the Node. This is ideal for fast drawing of things like buttons.
- Node
-
A base class for all objects that can be added to the sprite node tree and rendered to screen using SpriteBox and SpriteWidget.
- Node3D
-
An node that transforms its children using a 3D perspective projection. This node type can be used to create 3D flips and other similar effects.
- NodeWithSize
-
The super class of any Node that has a size.
- ParticleSystem
-
A particle system uses a large number of sprites to draw complex effects such as explosions, smoke, rain, or fire. There are a number of properties that can be set to control the look of the particle system. Most of the properties have a base value and a variance, these values are used when creating each individual particle. For instance, by setting the life to 1.0 and the lifeVar to 0.5, each particle will get a life time in the range of 0.5 to 1.5.
- Sprite
-
A Sprite is a Node that renders a bitmap image to the screen.
- SpriteBox
-
A
RenderBox
that draws a sprite world represented by a Node tree. - SpriteBoxEvent
-
An event that is passed down the node tree when pointer events occur. The SpriteBoxEvent is typically handled in the handleEvent method of Node.
- SpritePaint
-
Defines properties, such as opacity and transferMode that are shared between Nodes that render textures to screen.
- SpriteSheet
-
A sprite sheet packs a number of smaller images into a single large image.
- SpriteWidget
-
A widget that uses a SpriteBox to render a sprite node tree to the screen.
- Texture
-
A texture represents a rectangular area of an image and is typically used to draw a sprite to the screen.
- TexturedLine
-
A Node that draws a polyline from a list of points using the provided Texture. The textured line draws static lines. If you want to create an animated line, consider using the EffectLine instead.
- TexturedLinePainter
-
Draws a polyline to a Canvas from a list of points using the provided Texture.
- VirtualJoystick
-
Provides a virtual joystick that can easily be added to your sprite scene.


The_Outpost
The Outpost centers on Talon, who is the lone survivor of a race called "Blackbloods". When she sets off to the edge of civilization to track her family's killers, she discovers she possesses a mysterious supernatural power that she must learn to control.


Gallery of games handcrafted with passion and artistic vision.
Wild Glory
Conquer the Coliseum crowd and become the acclaimed champion!
Dungeon Drafters
A World where magic is cards and cards are magic!
Lamparina
Open magic doors by adjusting the projection of light!
About Us
Manalith Studios is an indie development studio based in Brazil, with eight passionate people working on exciting projects. We have a dedicated team of developers, artists, and designers who are constantly experimenting with new technologies and techniques to bring their unique vision to life.
Lucas Bressan
Lead Artist
Lucas Demo
Producer
Leonardo Lima
Lead Sound Designer
Rafael Fressato
Game Designer
Conrado Feltrin
Lead Programmer
Gabriel Oliveira
Sound Designer
Bruno Bulhoes
Content Designer
Andrei Brongel
Programmer
Contact Us
<EMAIL_ADDRESS>Wild Glory
Released for PC - Steam.
In Wild Glory gladiators battle to conquer the crowd and become the acclaimed Champion! Play unique game modes with up to EIGHT friends, and use several types of weapons, such as bombs, lions, force fields, and even the thunder hammer!
Date: March 2018
Dungeon Drafters
In development.
Dungeon Drafters is a world where magic is cards and cards are magic. Play as a young adventurer, eager to explore ancient dungeons and find long forgotten cards to build the legendary spell deck that could defeat the one wielding the forbidden cards the entire world fears!
Date: 2020
Wirebolt
Released for PC - Itchio.
 Whenever someone scores a point, bounds are quickly changed!


Ford SA slapped with R35 million fine for Kuga debacle
by Algoa FMConsumers will now be compensated for damages they may have suffered following the 2017 recalls of Ford Kuga 1.6 EcoBoost.
This emerged at the National Consumer Commission's media briefing on the outcomes of its investigation into the matter in Pretoria on Friday.
Ford made headlines in 2017 after several cases of fires emanating in the engine bay of the vehicles were reported. One person, Reshal Jimmy, died in Wilderness when his Ford Kuga caught alight.
The Commission announced it had reached an agreement with the motor company which will now be made an order of the Consumer Tribunal.
Consumer Commission's Senior Legal Advisor Joseph Selolo said the settlement makes provision for three option that affected vehicle owners can explore.
The first is an offer of R50 000 to each car owner.
The second option allows for Kuga owners who believe they are entitled to more compensation to lodge a claim with the company which has also agreed to pay the cost of any dispute resolution.
The last option gives the consumer the choice to prove damages in court.
Ford has also agreed to an R35 million administrative penalty.
However, according to Selelo, there had not yet been a settlement with respect to the death of Jimmy.
"There is still an inquest into the matter. So that it is not part of the decision that led to the settlement and is not part of the settlement" he said.
"We are committed to doing the right thing for our customers. We have learnt from these events and we continue to cooperate with the NCC in order to finalise this matter" said Ford, in a statement.
Pic: Archive


class: center, middle # PDXScala 16-Aug 2016 • Welcome! ### Have some pizza! --- # Agenda - Pizza - Announcements - Short Beginner Talk - Main Event ??? - Welcome - Big Crowd - Special guests from 47 Degrees, bienvenidos - As always, big thanks to Dexcom - Announcements - Upcoming Conferences - Scala World - Sep 12-13 Penrith UK - Strange Loop - Sep 15-17 St. Louis - Lambda World - Sep 30-Oct 1 Cádiz - Scala by the Bay - Nov 11-13 San Francisco - Who's hiring? - We're always looking for speakers and ideas for talks. --- class: center, middle # 15 Minutes of Lens Rob Norris • `@tpolecat` • Gemini Observatory ??? - Ok so I'm going to talk about lenses **just a little bit**. - They're a really cool abstraction for querying and updating immutable data structures, which is something that seems really awkward if you're first learning how to work with immutable data. --- # Goals - Understand why `Lens` is a useful abstraction. - Understand a simple implementation. - Understand lens composition. # Non-Goals - Understand `State` monad examples. - Understand "modern" lenses. --- # Immutable Data A data type with nested structure. ```scala case class Person(first: String, last: String) case class Band(name: String, lead: Person) case class Album(name: String, band: Band) val a = Album("Dark Side of the Spoon", Band("Green Floyd", Person("Steve", "Gilmour") ) ) ``` ??? - ok so we have an instance with some typos that we want to fix. So how do we do that? --- # Updating with `copy` Scala provides `copy` but it is awkward the deeper you go. ```scala scala> a res1: Album = Album(Dark Side of the Spoon,Band(Green Floyd,Person(Steve,Gilmour))) scala> val b = a.copy(name = "Dark Side of the Moon") b: Album = Album(Dark Side of the Moon,Band(Green Floyd,Person(Steve,Gilmour))) scala> val c = b.copy(band = b.band.copy(name = "Pink Floyd")) c: Album = Album(Dark Side of the Moon,Band(Pink Floyd,Person(Steve,Gilmour))) scala> val d = c.copy(band = c.band.copy(lead = c.band.lead.copy(first = "David"))) d: Album = Album(Dark Side of the Moon,Band(Pink Floyd,Person(David,Gilmour))) ``` ??? - so you can see that this is irritating --- # Our First Lens Observation: querying and setting are a pair of functions. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) ``` Create one. ```scala val albumName = Lens[Album, String]((a, b) => a.copy(name = b), _.name) ``` Try it! ```scala scala> a res2: Album = Album(Dark Side of the Spoon,Band(Green Floyd,Person(Steve,Gilmour))) scala> albumName.get(a) res3: String = Dark Side of the Spoon scala> albumName.set(a, "Dark Side of the Moon") res4: Album = Album(Dark Side of the Moon,Band(Green Floyd,Person(Steve,Gilmour))) ``` ??? - Ok this works but so what? It's more typing than just using `copy`. --- # Our Second Lens Observation: If we have a `Lens[A,B]` and a `Lens[B,C]` we can make a `Lens[A,C]`. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) { outer => def andThen[C](lens: Lens[B, C]): Lens[A, C] = { val set: (A, C) => A = { (a, c) => val b1 = outer.get(a) // get the b val b2 = lens.set(b1, c) // new b with updated c outer.set(a, b2) // new a with updated b } val get: A => C = { a => lens.get(outer.get(a)) // get is easier } Lens(set, get) } } ``` ??? - ... so that means ... - So if you didn't follow that I'm confident that you can follow it if you sit down with it later. There aren't that many ways to write it that compile. - Ok so we can clean that up by inlining the implementations and it looks like this. --- # Our Second Lens Observation: If we have a `Lens[A,B]` and a `Lens[B,C]` we can make a `Lens[A,C]`. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) { def andThen[C](lens: Lens[B, C]): Lens[A, C] = Lens((a, c) => set(a, lens.set(get(a), c)), a => lens.get(get(a))) } ``` Two lenses now. ```scala val albumBand = Lens[Album, Band ]((a, b) => a.copy(band = b), _.band) val bandName = Lens[Band, String]((a, b) => a.copy(name = b), _.name) ``` Compose them! ```scala scala> val composed = albumBand andThen bandName composed: Lens[Album,String] = Lens(
,
) scala> composed.get(a) res5: String = Green Floyd scala> composed.set(a, "Dread Zeppelin") res6: Album = Album(Dark Side of the Spoon,Band(Dread Zeppelin,Person(Steve,Gilmour))) ``` ??? - AAH! Ok now we're getting somewhere. We have a way of peeking down deep into a structure now. - Let's do more. --- # Our Second Lens Two more lenses. ```scala val bandLead = Lens[Band, Person]((a, b) => a.copy(lead = b), _.lead) val personFirst = Lens[Person, String]((a, b) => a.copy(first = b), _.first) ``` Compose more! ```scala scala> val wayDown = albumBand andThen bandLead andThen personFirst wayDown: Lens[Album,String] = Lens(
,
) scala> wayDown.get(a) res7: String = Steve scala> wayDown.set(a, "Jimmy") res8: Album = Album(Dark Side of the Spoon,Band(Green Floyd,Person(Jimmy,Gilmour))) ``` ??? - Ok, so that's cool. Let's make it look a little nicer. --- # Our Third Lens Rename `andThen` and make an infix alias for `Lens`, and add `modify`. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) { def >=>[C](lens: Lens[B, C]): Lens[A, C] = Lens((a, c) => set(a, lens.set(get(a), c)), a => lens.get(get(a))) def modify(a: A, f: B => B): A = set(a, f(get(a))) } type @>[A, B] = Lens[A, B] ``` --- # Our Third Lens Define lenses on our companions objects. ```scala case class Person(first: String, last: String) object Person { val first: Person @> String = Lens((a, b) => a.copy(first = b), _.first) val last: Person @> String = Lens((a, b) => a.copy(last = b), _.last ) } case class Band(name: String, lead: Person) object Band { val name: Band @> String = Lens((a, b) => a.copy(name = b), _.name) val lead: Band @> Person = Lens((a, b) => a.copy(lead = b), _.lead) } case class Album(name: String, band: Band) object Album { val name: Album @> String = Lens((a, b) => a.copy(name = b), _.name) val band: Album @> Band = Lens((a, b) => a.copy(band = b), _.band) } ``` --- # Our Third Lens So now it's a little nicer to read. ```scala scala> val a = Album("Lemon", Band("Pink Lloyd", Person("Steve", "Gilmour"))) a: Album = Album(Lemon,Band(Pink Lloyd,Person(Steve,Gilmour))) scala> (Album.band >=> Band.name).set(a, "Pink Floyd") res11: Album = Album(Lemon,Band(Pink Floyd,Person(Steve,Gilmour))) scala> (Album.band >=> Band.lead >=> Person.first).set(a, "David") res12: Album = Album(Lemon,Band(Pink Lloyd,Person(David,Gilmour))) ``` Let's try out `modify`. ```scala scala> (Album.band >=> Band.name).modify(a, _.toUpperCase) res13: Album = Album(Lemon,Band(PINK LLOYD,Person(Steve,Gilmour))) ``` --- # Our Fourth Lens Observation: we can compose side-by-side, not just end-to-end. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) { def >=>[C](lens: Lens[B, C]): Lens[A, C] = Lens((a, c) => set(a, lens.set(get(a), c)), a => lens.get(get(a))) def modify(a: A, f: B => B): A = set(a, f(get(a))) def zip[C](lens: Lens[A, C]): Lens[A, (B, C)] = Lens((a, bc) => lens.set(set(a, bc._1), bc._2), a => (get(a), lens.get(a))) } type @>[A, B] = Lens[A, B] ``` --- # Our Fourth Lens Try it! ```scala val bothNames = Person.first zip Person.last // Person @> (String, String) val albumLeadPersonName = Album.band >=> Band.lead >=> bothNames ``` Does it work? ```scala scala> albumLeadPersonName.set(a, ("Bob", "Dole")) res16: Album = Album(Lemon,Band(Pink Lloyd,Person(Bob,Dole))) ``` --- # Some Generic Lenses ```scala // identity def id[A]: A @> A = Lens((a, b) => b, a => a) // projection def fst[A,B]: (A, B) @> A = Lens((a, b) => (b, a._2), _._1) def snd[A,B]: (A, B) @> B = Lens((a, b) => (a._1, b), _._2) // a lens for set elements (!) def includes[A](a: A): Set[A] @> Boolean = Lens((s, b) => if (b) s + a else s - a, _.contains(a)) ``` Try it! ```scala scala> val nums = Set(1,2,3) nums: scala.collection.immutable.Set[Int] = Set(1, 2, 3) scala> includes(4).get(nums) res22: Boolean = false scala> includes(4).set(nums, true) res23: Set[Int] = Set(1, 2, 3, 4) scala> includes(2).set(nums, false) res24: Set[Int] = Set(1, 3) ``` ??? - So rather than adding and removing from a set, we use a lens to set membership to true or false --- # Down the Rabbit Hole The `State` monad. ```scala case class State[S, A](run: S => (S, A)) { def map[B](f: A => B): State[S, B] = State { s => val (s0, a) = run(s) (s0, f(a)) } def flatMap[B](f: A => State[S,B]): State[S, B] = State { s => val (s0, a) = run(s) f(a).run(s0) } def exec(s: S): S = run(s)._1 } ``` ??? - I don't expect you to understand this if you haven't seen it before. It's ok to get lost here; I'm just trying to wow you a little bit. - The idea is that we can represent a stateful computation as one that takes some starting state, uses it to compute a value *and* a new state, returning both. - Functions of this form compose; you can define map and flatMap for them and use them in a for-comprehension. --- # Our Fifth Lens Observation: `Lens` operations can become `State` operations. ```scala case class Lens[A,B](set: (A, B) => A, get: A => B) { outer => def >=>[C](lens: Lens[B, C]): Lens[A, C] = Lens((a, c) => outer.set(a, lens.set(outer.get(a), c)), a => lens.get(outer.get(a))) def modify(a: A, f: B => B): A = set(a, f(get(a))) def zip[C](lens: Lens[A, C]): Lens[A, (B, C)] = Lens((a, bc) => lens.set(set(a, bc._1), bc._2), a => (get(a), lens.get(a))) def :=(b: B): State[A, Unit] = State(a => (set(a, b), ())) def ask: State[A, B] = State(a => (a, get(a))) } type @>[A, B] = Lens[A, B] ``` --- # Our Fifth Lens Observation: `Lens` operations can become `State` operations. ```scala val albumName = Album.name val bandName = Album.band >=> Band.name val leadFirst = Album.band >=> Band.lead >=> Person.first def update = for { _ <- albumName := "Dark Side of the Moon" _ <- bandName := "Pink Floyd" n <- leadFirst.ask _ <- leadFirst := "*" * n.length } yield () ``` Umm, ok? ```scala scala> update.exec(a) res28: Album = Album(Dark Side of the Moon,Band(Pink Floyd,Person(*****,Gilmour))) ``` ??? - So now what we have is an imperative program that's totally functional. You write it as if you were mutating something but instead it's a pure operation. Which is cool. --- # Further Learning - *Lens, a Functional Imperative* - Ed Kmett, YouTube - Monocle (modern Scala lenses without boilerplate) --- class: center, middle # Thanks! Code and slides at `tpolecat/lens` on GitHub ## Questions?


The Partial view helper is used to render a specified template within its own variable scope. The primary use is for reusable template fragments with which you do not need to worry about variable name clashes.
A sibling to the Partial, the PartialLoop view helper allows you to pass iterable data, and render a partial for each item.
Note
PartialLoop Counter
The PartialLoop view helper gives access to the current position of the array within the view script via $this->partialLoop()->getPartialCounter(). This provides an easy way to have alternating colors on table rows for example.
Basic usage of partials is to render a template fragment in its own view scope. Consider the following partial script:
1 2 3 4 5 | <?php // partial.phtml ?>

From: <?php echo $this->escapeHtml($this->from) ?>

Subject: <?php echo $this->escapeHtml($this->subject) ?>

|
You would then call it from your view script using the following:
1 2 3 | <?php echo $this->partial('partial.phtml', array(
'from' => 'Team Framework',
'subject' => 'view partials')); ?>
|
Which would then render:
1 2 3 4 |

From: Team Framework

Subject: view partials

|
Note
What is a model?
A model used with the Partial view helper can be one of the following:
If your model is an object, you may want to have it passed as an object to the partial script, instead of serializing it to an array of variables. You can do this by setting the ‘objectKey’ property of the appropriate helper:
1 2 3 4 5 6 | // Tell partial to pass objects as 'model' variable
$view->partial()->setObjectKey('model');
// Tell partial to pass objects from partialLoop as 'model' variable
// in final partial view script:
$view->partialLoop()->setObjectKey('model');
|
This technique is particularly useful when passing Zend\Db\ResultSet\ResultSets to partialLoop(), as you then have full access to your row objects within the view scripts, allowing you to call methods on them (such as retrieving values from parent or dependent rows).
Typically, you’ll want to use partials in a loop, to render the same content fragment many times; this way you can put large blocks of repeated content or complex display logic into a single location. However this has a performance impact, as the partial helper needs to be invoked once for each iteration.
The PartialLoop view helper helps solve this issue. It allows you to pass an iterable item (array or object implementing Iterator) as the model. It then iterates over this, passing, the items to the partial script as the model. Items in the iterator may be any model the Partial view helper allows.
Let’s assume the following partial view script:
1 2 3 | <?php // partialLoop.phtml ?>

<?php echo $this->key ?>

<?php echo $this->value ?>

|
And the following “model”:
1 2 3 4 5 6 | $model = array(
array('key' => 'Mammal', 'value' => 'Camel'),
array('key' => 'Bird', 'value' => 'Penguin'),
array('key' => 'Reptile', 'value' => 'Asp'),
array('key' => 'Fish', 'value' => 'Flounder'),
);
|
In your view script, you could then invoke the PartialLoop helper:
1 2 3 |

<?php echo $this->partialLoop('partialLoop.phtml', $model) ?>

|
1 2 3 4 5 6 7 8 9 10 11 12 13 |

Mammal

Camel

Bird

Penguin

Reptile

Asp

Fish

Flounder

|
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


Collective Knowledge: annotate web pages with related research papers, code, reproducible results, scoreboards, portable workflows and reusable artifacts
When you enable this add-on, only allowed research URLs from your browser tab
will be anonymously sent to the open cKnowledge.io portal
to find related research papers, state-of-the-art scoreboards, portable workflows and reusable artifacts
(see the list of allowed URLs).
You can also add your own links and test/rank others thus contributing to the Collective Knowledge.
Note that we do not collect, use, store, and share or disclose information about people!
This URL is blocked for your privacy and was not sent to the cKnowledge.io!
Please contact us
or send PR to unblock this URL!


Results
This page should contain:
- Clearly and objectively describe the results of your work.
- Future plans for the project.
- Considerations for replicating the experiments.
Describe what your results mean
- Interpretation of the results obtained during your project. Don't just show a plot/figure/graph/other, tell us what you think the data means.
- Show data, but remember all measurement and characterization data must be on part pages in the Registry.
- Consider including an analysis summary section to discuss what your results mean. Judges like to read what your data means, beyond all the data you have acquired during the project.
You can also include a list of bullet points (and links) of the successes and failures you had over the summer. It is a quick reference page for the judges to see what you achieved during the summer.
- A list of linked bullet points of the successful results during the project.
- A list of linked bullet points of the unsuccessful results during your project. This is about being scientifically honest. If you worked on an area for a long time with no success, tell us so we know where you put your effort.