--- layout: post title: Battlefield 3 Open Beta Is Over date: 2011-10-10 18:28:31.000000000 -05:00 categories: - Projects tags: - battlelog - battlelogapi - bf3 - php - programming - projects status: publish type: post published: true meta: _edit_last: '1' author: login: Blake email<EMAIL_ADDRESS>display_name: Blake first_name: Blake last_name: Harley ---
A little update about my Battlelog API: the Battlefield 3 Open Beta has ended. Stats are now unavailable---not to mention wiped---until game is actually released. I will update the API if it needs one when the game releases on October 25th.


HowTo: Common Patterns
This section lists common actor patterns which have been found to be useful, elegant or instructive. Anything is welcome, example topics being message routing strategies, supervision patterns, restart handling, etc. As a special bonus, additions to this section are marked with the contributor’s name, and it would be nice if every Akka user who finds a recurring pattern in his or her code could share it for the profit of all. Where applicable it might also make sense to add to the akka.pattern package for creating an OTP-like library.
You might find some of the patterns described in the Scala chapter of HowTo: Common Patterns useful even though the example code is written in Scala.
Scheduling Periodic Messages
This pattern describes how to schedule periodic messages to yourself in two different ways.
The first way is to set up periodic message scheduling in the constructor of the actor, and cancel that scheduled sending in postStop or else we might have multiple registered message sends to the same actor.
Note
With this approach the scheduled periodic message send will be restarted with the actor on restarts. This also means that the time period that elapses between two tick messages during a restart may drift off based on when you restart the scheduled message sends relative to the time that the last message was sent, and how long the initial delay is. Worst case scenario is interval plus initialDelay.
public class ScheduleInConstructor extends UntypedActor {
private final Cancellable tick = getContext().system().scheduler().schedule(
Duration.create(500, TimeUnit.MILLISECONDS),
Duration.create(1, TimeUnit.SECONDS),
getSelf(), "tick", getContext().dispatcher(), null);
@Override
public void postStop() {
tick.cancel();
}
@Override
public void onReceive(Object message) throws Exception {
if (message.equals("tick")) {
// do something useful here
}
else {
unhandled(message);
}
}
}
The second variant sets up an initial one shot message send in the preStart method of the actor, and the then the actor when it receives this message sets up a new one shot message send. You also have to override postRestart so we don't call preStart and schedule the initial message send again.
Note
With this approach we won't fill up the mailbox with tick messages if the actor is under pressure, but only schedule a new tick message when we have seen the previous one.
public class ScheduleInReceive extends UntypedActor {
@Override
public void preStart() {
getContext().system().scheduler().scheduleOnce(
Duration.create(500, TimeUnit.MILLISECONDS),
getSelf(), "tick", getContext().dispatcher(), null);
}
// override postRestart so we don't call preStart and schedule a new message
@Override
public void postRestart(Throwable reason) {
}
@Override
public void onReceive(Object message) throws Exception {
if (message.equals("tick")) {
// send another periodic tick after the specified delay
getContext().system().scheduler().scheduleOnce(
Duration.create(1, TimeUnit.SECONDS),
getSelf(), "tick", getContext().dispatcher(), null);
// do something useful here
}
else {
unhandled(message);
}
}
}
Single-Use Actor Trees with High-Level Error Reporting
Contributed by: Rick Latrine
A nice way to enter the actor world from java is the use of Patterns.ask(). This method starts a temporary actor to forward the message and collect the result from the actor to be "asked". In case of errors within the asked actor the default supervision handling will take over. The caller of Patterns.ask() will not be notified.
If that caller is interested in such an exception, they must make sure that the asked actor replies with Status.Failure(Throwable). Behind the asked actor a complex actor hierarchy might be spawned to accomplish asynchronous work. Then supervision is the established way to control error handling.
Unfortunately the asked actor must know about supervision and must catch the exceptions. Such an actor is unlikely to be reused in a different actor hierarchy and contains crippled try/catch blocks.
This pattern provides a way to encapsulate supervision and error propagation to the temporary actor. Finally the promise returned by Patterns.ask() is fulfilled as a failure, including the exception (see also Actors (Java with Lambda Support) for Java compatibility).
Let's have a look at the example code:
package docs.pattern;
import java.util.concurrent.TimeoutException;
import scala.concurrent.Future;
import scala.concurrent.duration.Duration;
import akka.actor.Actor;
import akka.actor.ActorKilledException;
import akka.actor.ActorRef;
import akka.actor.ActorRefFactory;
import akka.actor.Cancellable;
import akka.actor.OneForOneStrategy;
import akka.actor.Props;
import akka.actor.Scheduler;
import akka.actor.Status;
import akka.actor.SupervisorStrategy;
import akka.actor.SupervisorStrategy.Directive;
import akka.actor.Terminated;
import akka.actor.UntypedActor;
import akka.japi.Function;
import akka.pattern.Patterns;
import akka.util.Timeout;
public class SupervisedAsk {
private static class AskParam {
Props props;
Object message;
Timeout timeout;
AskParam(Props props, Object message, Timeout timeout) {
this.props = props;
this.message = message;
this.timeout = timeout;
}
}
private static class AskTimeout {
}
public static class AskSupervisorCreator extends UntypedActor {
@Override
public void onReceive(Object message) throws Exception {
if (message instanceof AskParam) {
ActorRef supervisor = getContext().actorOf(
Props.create(AskSupervisor.class));
supervisor.forward(message, getContext());
} else {
unhandled(message);
}
}
}
public static class AskSupervisor extends UntypedActor {
private ActorRef targetActor;
private ActorRef caller;
private AskParam askParam;
private Cancellable timeoutMessage;
@Override
public SupervisorStrategy supervisorStrategy() {
return new OneForOneStrategy(0, Duration.Zero(),
new Function<Throwable, Directive>() {
public Directive apply(Throwable cause) {
caller.tell(new Status.Failure(cause), self());
return SupervisorStrategy.stop();
}
});
}
@Override
public void onReceive(Object message) throws Exception {
if (message instanceof AskParam) {
askParam = (AskParam) message;
caller = getSender();
targetActor = getContext().actorOf(askParam.props);
getContext().watch(targetActor);
targetActor.forward(askParam.message, getContext());
Scheduler scheduler = getContext().system().scheduler();
timeoutMessage = scheduler.scheduleOnce(askParam.timeout.duration(),
self(), new AskTimeout(), context().dispatcher(), null);
} else if (message instanceof Terminated) {
Throwable ex = new ActorKilledException("Target actor terminated.");
caller.tell(new Status.Failure(ex), self());
timeoutMessage.cancel();
getContext().stop(self());
} else if (message instanceof AskTimeout) {
Throwable ex = new TimeoutException("Target actor timed out after "
+ askParam.timeout.toString());
caller.tell(new Status.Failure(ex), self());
getContext().stop(self());
} else
unhandled(message);
}
}
public static Future<Object> askOf(ActorRef supervisorCreator, Props props,
Object message, Timeout timeout) {
AskParam param = new AskParam(props, message, timeout);
return Patterns.ask(supervisorCreator, param, timeout);
}
synchronized public static ActorRef createSupervisorCreator(
ActorRefFactory factory) {
return factory.actorOf(Props.create(AskSupervisorCreator.class));
}
}
In the askOf method the SupervisorCreator is sent the user message. The SupervisorCreator creates a SupervisorActor and forwards the message. This prevents the actor system from overloading due to actor creations. The SupervisorActor is responsible to create the user actor, forwards the message, handles actor termination and supervision. Additionally the SupervisorActor stops the user actor if execution time expired.
In case of an exception the supervisor tells the temporary actor which exception was thrown. Afterwards the actor hierarchy is stopped.
Finally we are able to execute an actor and receive the results or exceptions.
package docs.pattern;
import scala.concurrent.Await;
import scala.concurrent.Future;
import akka.actor.ActorRef;
import akka.actor.ActorRefFactory;
import akka.actor.Props;
import akka.actor.UntypedActor;
import akka.util.Timeout;
public class SupervisedAskSpec {
public Object execute(Class<? extends UntypedActor> someActor,
Object message, Timeout timeout, ActorRefFactory actorSystem)
throws Exception {
// example usage
try {
ActorRef supervisorCreator = SupervisedAsk
.createSupervisorCreator(actorSystem);
Future<Object> finished = SupervisedAsk.askOf(supervisorCreator,
Props.create(someActor), message, timeout);
return Await.result(finished, timeout.duration());
} catch (Exception e) {
// exception propagated by supervision
throw e;
}
}
}
Template Pattern
Contributed by: N. N.
This is an especially nice pattern, since it does even come with some empty example code:
class JavaTemplate {
public JavaTemplate() {
System.out.println("Hello, Template!");
}
// uninteresting stuff ...
}
Note
Spread the word: this is the easiest way to get famous!
Please keep this pattern at the end of this file.
Contents


Behind closed doors, a trusted mentor (also a female founder) confided that as women in business, we are measured to a higher standard than our male counterparts. To gain admittance into the club, being equal is unacceptable — we must be exceptional.
Continue reading →


Improved VTK - numpy integration (part 4)
18 Aug 2014Welcome to another blog where we continue to discover VTK's numpy_interface
module. If you are not familiar with this module, I recommend checking out my previous blogs on it ([1], [2], [3]). In this blog, I will talk about how numpy_interface
can be used in a data parallel way. We will be using VTK's MPI support for this - through VTK's own vtkMultiProcessController and mpi4py. You may want to check my last blog on VTK's mpi4py integration for some details.
Let's get started. First, if you want to run these examples yourself, make sure that VTK is compiled with MPI support on by setting VTKGroupMPI to ON during the CMake configuration step. The simplest way to run these examples is to use the pvtkpython executable that gets compiled when Python and MPI support are on. Pvtkpython can be run from the command line as follows (check out your MPI documentation for details).
mpiexec -n 3 ./bin/pvtkpython
Now, let's start with a simple example.
import vtk
c = vtk.vtkMultiProcessController.GetGlobalController()
rank = c.GetLocalProcessId()
size = c.GetNumberOfProcesses()
w = vtk.vtkRTAnalyticSource()
w.UpdateInformation()
w.SetUpdateExtent(rank, size, 0)
w.Update()
print w.GetOutput().GetPointData().GetScalars().GetRange()
When I run this example on my laptop, I get the following output:
(37.35310363769531,<PHONE_NUMBER>9785156)
(49.75050354003906,<PHONE_NUMBER>042969)
(37.35310363769531,<PHONE_NUMBER>6484375)
Depending on a particular run and your OS, you may see something similar or something a bit garbled. Since I didn't restrict the print
call to a particular rank, all processes will print out roughly at the same time and depending on the timing and buffering, may end up mixing up with each others' output. If you examine the output above, you will notice that the overall range of the scalars is (37.35310363769531,<PHONE_NUMBER>042969), which we can confirm by running the example serially.
Note that vtkRTAnalyticSource
is a parallel-aware source and produces partitioned data. The following lines are what tell vtkRTAnalyticSource
to produce its output in a distributed way
w = vtk.vtkRTAnalyticSource()
# First we need to ask the source to produce
# meta-data. Unless UpdateInformation() is
# called first, SetUpdateExtent() below will
# have no effect
w.UpdateInformation()
# Ask the source to produce "size" pieces and
# select the piece of index "rank" for this process.
w.SetUpdateExtent(rank, size, 0)
# Cause execution. Note that the source has to
# be updated directly for the above request to
# work. Otherwise, downstream pipeline can overwrite
# requested piece information.
w.Update()
For more details, see this page.
So how can we find out the global min and max of the scalars (RTData) array? One way is to use mpi4py to perform a reduction of local values of each process. Or we can use the numpy_interface.algorithms
module. Add the following code to the end of our example.
from vtk.numpy_interface import dataset_adapter as dsa
from vtk.numpy_interface import algorithms as algs
w = dsa.WrapDataObject(w.GetOutput())
rtdata = w.PointData['RTData']
_min = algs.min(rtdata)
_max = algs.max(rtdata)
if rank == 0:
print _min, _max
This should print the following.
37.3531036377<PHONE_NUMBER>04
That simple! All algorithms in the numpy_interface.algorithms
module work properly in parallel. Note that min
, max
and any other parallel algorithm will return the same value on all ranks.
It is possible to force these algorithms to produce local values by setting their controller argument as follows.
# vtkDummyController is a replacement for vtkMPIController
# that works only locally to each rank.
_min = algs.min(rtdata, controller = vtk.vtkDummyController())
_max = algs.max(rtdata, controller = vtk.vtkDummyController())
if rank == 0:
print _min, _max
This will print the following.
37.3531036377<PHONE_NUMBER>98
All algorithms in the numpy_interface.algorithms
module were designed to work in parallel. If you use numpy algorithms directly, you will have to use mpi4py and do the proper reduction.
One final thing. Numpy.dataset_adapter
and numpy.algorithms
were designed to work properly even when an array does not exist on one or more of the ranks. This occurs when a source can produce a limited number of pieces (1 being the most common case) and the size of the parallel job is larger. Let's start with an example:
import vtk
c = vtk.vtkMultiProcessController.GetGlobalController()
rank = c.GetLocalProcessId()
size = c.GetNumberOfProcesses()
c = vtk.vtkCubeSource()
c.UpdateInformation()
c.SetUpdateExtent(rank, size, 0)
c.Update()
from vtk.numpy_interface import dataset_adapter as dsa
from vtk.numpy_interface import algorithms as algs
c = dsa.WrapDataObject(c.GetOutput())
normals = c.PointData['Normals']
print normals
On my machine, this prints out the following.
<vtk.numpy_interface.dataset_adapter.VTKNoneArray object at 0x119176490>
<vtk.numpy_interface.dataset_adapter.VTKNoneArray object at 0x11b128490>
[[-1. 0. 0.]
[-1. 0. 0.]
[-1. 0. 0.]
[-1. 0. 0.]
...
[ 0. 0. 1.]
[ 0. 0. 1.]]
Note how the normals is a VTKNoneArray
on 2 of the ranks. This is because vtkCubeSource
is not parallel-aware and will produce output only on the first rank. On all other ranks, it will produce empty output. Consider the use case where we want to do something like this with normals.
print algs.max(normals + 1)
One would expect that this would throw an exception on ranks where the normals array does not exist. In fact, the first implementation of the numpy_interface.dataset_adapter
returned a None
object and threw an exception in such cases as expected. However, this design had a significant flaw. Because of the exception, ranks that did not have the array could not participate in the calculation of global values, which are calculated by performing MPI_Allreduce
. This function will hang unless all ranks participate in the reduction. We addressed this flaw by developing the VTKNoneArray
class. This class supports all operators that regular arrays support and always returns VTKNoneArray
. Furthermore, parallel algorithms function properly when asked to work on a VTKNoneArray
.
We have covered a lot ground so far. In the next blog, which will be the last one in this series, I will talk about composite datasets and composite arrays.
Note: This article was originally published on the Kitware blog. Please see the Kitware web site, the VTK web site and the ParaView web site for more information.


{% block content %}
| name | username | class | class date | date registered | date cancelled | date promoted | late promotion | attended | |
| {{ registration.student.first_name }} {{ registration.student.last_name }} | {{ registration.student.username }} | {{ registration.student.email }} | {{ registration.event }} | {{ registration.event.date }} | {{ registration.date_registered }} | {{ registration.date_cancelled }} | {{ registration.date_promoted }} | {{ registration.late_promotion }} | {{ registration.attended }} |


---
layout: post
title: Dancing feet storyboards frames 0 9
date: '2017-07-08T10:30:17+02:00'
categories:
- Storyboards
- Sketches
picture_url: https://film-Storyboards.tumblr.com/post/162747947996/dancing-feet-Storyboards-frames-0-9
---
Dancing Feet Storyboards — frames 0 to 9.
Concept: Daniel Cloud Campos
Production: QUAD


Ant McPartlin sings Kylie Jenner's Rise and Shine to Caitlyn on I'm a Celeb
Ant McPartlin is definitely back on form in I’m a Celebrity, and may have just won the internet by singing Kylie Jenner’s Rise and Shine right in front of Caitlyn Jenner.
Hey, it’s an opportunity too good to miss, to be fair!
The Geordie presenter and co-star Declan Donnelly were seen at the end of Tuesday night’s episode heading into the camp to reveal who was doing the latest bushtucker trial.
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So seeing as the campmates had just got up…the joke was there for the taking.
Confirming it was deliberate, Ant later responded to a fan who was cracking up at the moment, and had written online: ‘ANT DID NOT JUST SING RISE AND SHINE IN FRONT OF CAITLYN JENNER OMG STOP.’
‘Yes I did!!!!,’ he sent with some cry-laugh emojis. ‘Twitter is LOVING it!’

The ‘Rise and Shine’ meme first came to light when Kylie shared a video to her YouTube channel of her giving fans a guided tour around the offices for her Kylie Cosmetics brand.
Toward the end of the video, the 22-year-old later heads off to wake up her one-year-old daughter, Stormi, and as she enters her bedroom, she can be heard singing ‘rise and shine’ to her.
Since then, the makeup mogul’s singing has gone viral, with fans across the world sharing it on social media, and other celebrities such as Miley Cyrus and Cody Simpson performing it together and Ariana Grande wanting to sample it for a song.
And Kylie has even cashed in on the success of the meme with her own line of merchandise.
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Three days in and Caitlyn has spoken fondly about his biological and extended family – and become a firm favourite as she looked after other members of the group.
On yesterday’s episode, she also opened up about her relationship with son-in-law Kanye West, praising him for being good to her during her transition and her other family members struggled.
Speaking about the rapper joining forces with Kim to break through to the fashion industry, she said: ‘I like Kanye. Kanye was very, very good to me.’
I’m A Celebrity…Get Me Out Of Here continues weekdays at 9pm on ITV.
Got a showbiz story? If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Our Story
|
We in DiazePam Café live and breathe ice cream and desserts. We are an independent icecream and desserts café based in Singapore. With the large variety of flavours to choose from that will keep you thinking what to get, we assure you the best quality in our food as well as service, it aims to provide the highest quality ice-cream. The café was started as a small local setup and has grown to have 5 outlets in Singapore. |
Our Vision
|
Making the best ice-cream in town. |
Our Mission
|
Our mission is to make, innovate the finest and best dairy ice-cream with a commitment to incorporate wholesome, natural ingredients for great ice-cream lovers. |


Hi, My name is Thufail. I am Fresh Graduated from SMK Telkom Malang. I love Design, Code, Music, Foods, & Games. I am capable of work effectively as a team or individually, and like to learn new things.
I learned a lot of things there for 2 months. In the first month, I learned backend programming with Laravel (from installation until user email verification). In the second month, i learned frontend programming, and I love UI & Slicing the most.
I have an internship experience as Front End Developer at Cloud Astro Malang for 3 months, I improve my Bootstrap skill and studied CI HMVC, Datatables, jQuery, & Ajax.
 During the rainy season here in Indonesia, I enjoy hanging out with my family, watching movies or listening to music.
I also follow several of sci-fi and fantasy genre movies and youtube shows. I love cooking. Sometimes I practice my cooking skill after I watch some cooking tutorials at Instagram or Youtube.
Autofood - Front End Project 2019
Slicing dari Design yang sudah ditentukan, serta membuat beberapa fitur baru menggunakan Vue.js dan scss
MyBaby - UI Design 2019
Design prototype untuk Aplikasi MyBaby, aplikasi dimana user dapat memonitoring bayinya
RTV - Back End Project 2019
Aplikasi Rating Film atau Acara TV dimana user dapat daftar, login dan merating film favoritnya
Toko Buku - UKL 2018
Project membuat aplikasi Toko Buku yang memiliki fitur crud, order, dan untuk template ditentukan guru
Test Webhosting - 2017
Tugas Web Design membuat Landing page web sekolah menggunakan bootstrap dan diupload ke hosting
Data Diri Siswa - UKL 2017
Project membuat aplikasi sederhana yang memiliki fitur register, login, update dan delete profil


Followers:{{details.followers}}
Following:{{details.following}}
Repositories:{{details.public_repos}}
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INTERGRAPH CORPORATION RESTRUCTURED IA/WIREFRAMES
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STATER BROS. MARKETS INTRANET RESTRUCTURED IA
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INTRANET HOMEPAGE WIREFRAME
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INTRANET HOMEPAGE LAYOUT
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NEW EMPLOYEE KIOSK IA & ICONOGRAPHY
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STATERBROS.COM RESTRUCTURED NAV
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|
| CROWDSOURCING PORTAL IA |
|
crowdsourcing IA/navigation pdf
|


data.managers
Interfaces
Identifiable
Classes
EntityList
ForceList
IdentifiableList
KeyedObject
ObjectList
PHTableList
PKTableList
PlatformList
SensorList
SortedList
WeaponList


Charlie Adam reveals Rangers tears as midfielder opens up on Ibrox heartbreak
The former Scotland international broke through with the Gers but couldn't nail down a first team place.
by Gabriel McKayCharlie Adam has admitted leaving Rangers left him in tears after he decided to leave the club for more first team football.
The midfielder is currently playing for Reading in the English Championship, but came through at Ibrox after being signed at 16.
Successful loan spells at Ross County and St Mirren gave him hope of becoming a mainstay for the Gers, but in February 2009 he joined Blackpool on loan, a move which was later made permanent.
Adam told the Daily Mail : "David Murray used to tell the young lads coming through that when you left Rangers it was a step down.
"I listened to that stuff but I wanted to prove people wrong. You have to be like that, some people think you are a good player. Some don't.
"That's okay.
"People believe that once you leave Rangers, you fall away. I didn't want that. I used that as my drive.
"I knew I had been at a big club. I wanted to get back to a big club.
"I told myself: 'you ain't going to play, you have to leave'.
"I knew to be in any way satisfied I had to play football. But it was a tough thing to go.
"It broke my heart. Yeah, it broke my heart. I sat and cried."


This is true data governance.
CGF is a true data management.
Data governance platform that provides openness and
freedom.
It decomposes into existing data and opens up organizational data so that every
user can find the data they need, collaborate on it, and easily understand what they mean.
Above all, CGF ensures that all data citizens can trust the data.
CGF has the full potential to drive a competitive advantage.
Who does not want it? In the end, it is your data.


public class MacroPool
extends java.lang.Object
.macro
directive, parser calls
beginMacro(Token)
and skips source code lines until
reaches .end_macro
directive. then calls
commitMacro(Token)
and the macro information stored in a
Macro
instance will be added to macroList
. RISCVprogram
will have one MacroPool
| Constructor | Description |
|---|---|
MacroPool(RISCVprogram mipsProgram) |
Create an empty MacroPool for given program
|
| Modifier and Type | Method | Description |
|---|---|---|
void |
beginMacro(Token nameToken) |
|
void |
commitMacro(Token endToken) |
This method will be called by parser when reached
.end_macro
directive. |
java.util.ArrayList<java.lang.Integer> |
getCallStack() |
|
Macro |
getCurrent() |
|
java.lang.String |
getExpansionHistory() |
|
Macro |
getMatchingMacro(TokenList tokens,
int callerLine) |
Will be called by parser when reaches a macro expansion call
|
int |
getNextCounter() |
counter will be set to 0 on construction of this class and will
be incremented by each call. parser calls this method once for every
expansions. it will be a unique id for each expansion of macro in a file |
boolean |
matchesAnyMacroName(java.lang.String value) |
|
void |
popFromCallStack() |
|
boolean |
pushOnCallStack(Token token) |
|
void |
setCurrent(Macro current) |
public MacroPool(RISCVprogram mipsProgram)
mipsProgram
- associated MIPS programpublic void beginMacro(Token nameToken)
.macro
directive.Macro
object and stores it in current
. current
will be added to macroList
by
commitMacro(Token)
nameToken
- Token containing name of macro after .macro
directivepublic void commitMacro(Token endToken)
.end_macro
directive. current
macro into the macroList
.endToken
- Token containing .end_macro
directive in source codepublic Macro getMatchingMacro(TokenList tokens, int callerLine)
tokens
- tokens passed to macro expansion callMacro
object matching the name and argument count of
tokens passedpublic boolean matchesAnyMacroName(java.lang.String value)
value
- value
by now, not concerning arguments count.public Macro getCurrent()
public void setCurrent(Macro current)
public int getNextCounter()
counter
will be set to 0 on construction of this class and will
be incremented by each call. parser calls this method once for every
expansions. it will be a unique id for each expansion of macro in a filepublic java.util.ArrayList<java.lang.Integer> getCallStack()
public boolean pushOnCallStack(Token token)
public void popFromCallStack()
public java.lang.String getExpansionHistory()


It's nearly the end of my first week of Epicodus, and my mind almost feels like its drowning from the inunadation of knowledge... but, sink or swim right?
Never mind I can't actually swim.
I'm sure you're bursting with anticipation to see what I've learned. Please check out my projects using the navigation above or even read more about me.


Run
You need to first install analytics-zoo, either from pip or without pip.
NOTE: We have tested on Python 3.6 and Python 3.7. Support for Python 2.7 has been removed due to its end of life.
Run after pip install
Important:
-
Installing analytics-zoo from pip will automatically install
pyspark
. To avoid possible conflicts, you are highly recommended to unsetSPARK_HOME
if it exists in your environment. -
Please always first call
init_nncontext()
at the very beginning of your code after pip install. This will create a SparkContext with optimized performance configuration and initialize the BigDL engine.
from zoo.common.nncontext import *
sc = init_nncontext()
Use an Interactive Shell
- Type
python
in the command line to start a REPL. - Try to run the example code to verify the installation.
Use Jupyter Notebook
- Start jupyter notebook as you normally do, e.g.
jupyter notebook --notebook-dir=./ --ip=* --no-browser
- Try to run the example code to verify the installation.
Configurations
- Increase memory
export SPARK_DRIVER_MEMORY=20g
- Add extra jars or python packages
Set the environment variables BIGDL_JARS
and BIGDL_PACKAGES
BEFORE creating SparkContext
:
export BIGDL_JARS=...
export BIGDL_PACKAGES=...
Run on Yarn after pip install
You should use init_spark_on_yarn
rather than init_nncontext()
here to create a SparkContext on Yarn.
Start python and then execute the following code:
from zoo import init_spark_on_yarn
sc = init_spark_on_yarn(
hadoop_conf="path to the yarn configuration folder",
conda_name="zoo", # The name of the created conda-env
num_executors=2,
executor_cores=4,
executor_memory="8g",
driver_memory="2g",
driver_cores=4,
extra_executor_memory_for_ray="10g")
Run without pip install
- Note that Python 3.6 is only compatible with Spark 1.6.4, 2.0.3, 2.1.1 and >=2.2.0. See this issue for more discussion.
Set SPARK_HOME and ANALYTICS_ZOO_HOME
- If you download Analytics Zoo from the Release Page:
export SPARK_HOME=the root directory of Spark
export ANALYTICS_ZOO_HOME=the path where you extract the analytics-zoo package
- If you build Analytics Zoo by yourself:
export SPARK_HOME=the root directory of Spark
export ANALYTICS_ZOO_HOME=the dist directory of Analytics Zoo
Update spark-analytics-zoo.conf (Optional)
If you have some customized properties in some files, which will be used with the --properties-file
option
in spark-submit/pyspark
, you can add these customized properties into ${ANALYTICS_ZOO_HOME}/conf/spark-analytics-zoo.conf.
Run with pyspark
${ANALYTICS_ZOO_HOME}/bin/pyspark-shell-with-zoo.sh --master local[*]
--master
set the master URL to connect to--jars
if there are extra jars needed.--py-files
if there are extra python packages needed.
You can also specify other options available for pyspark in the above command if needed.
Try to run the example code for verification.
Run with spark-submit
An Analytics Zoo Python program runs as a standard pyspark program, which requires all Python dependencies (e.g., numpy) used by the program to be installed on each node in the Spark cluster. You can try running the Analytics Zoo Object Detection Python example as follows:
${ANALTICS_ZOO_HOME}/bin/spark-submit-python-with-zoo.sh --master local[*] predict.py model_path image_path output_path
Run with Jupyter Notebook
With the full Python API support in Analytics Zoo, users can use our package together with powerful notebooks (such as Jupyter Notebook) in a distributed fashion across the cluster, combining Python libraries, Spark SQL/DataFrames and MLlib, deep learning models in Analytics Zoo, as well as interactive visualization tools.
Prerequisites: Install all the necessary libraries on the local node where you will run Jupyter, e.g.,
sudo apt install python
sudo apt install python-pip
sudo pip install numpy scipy pandas scikit-learn matplotlib seaborn wordcloud
Launch the Jupyter Notebook as follows:
${ANALYTICS_ZOO_HOME}/bin/jupyter-with-zoo.sh --master local[*]
--master
set the master URL to connect to--jars
if there are extra jars needed.--py-files
if there are extra python packages needed.
You can also specify other options available for pyspark in the above command if needed.
After successfully launching Jupyter, you will be able to navigate to the notebook dashboard using your browser. You can find the exact URL in the console output when you started Jupyter; by default, the dashboard URL is http://your_node:8888/
Try to run the example code for verification.
Run with conda environment on Yarn
If you have already created Analytics Zoo dependency conda environment package according to Yarn cluster guide here, you can run Python programs using Analytics Zoo using the following command.
Here we use Analytics Zoo Object Detection Python example for illustration.
- Yarn cluster mode (with conda package name "environment.tar.gz" for example)
export SPARK_HOME=the root directory of Spark
export ANALYTICS_ZOO_HOME=the folder where you extract the downloaded Analytics Zoo zip package
export ENV_HOME=the parent directory of your conda environment package
PYSPARK_PYTHON=./environment/bin/python ${ANALYTICS_ZOO_HOME}/bin/spark-submit-python-with-zoo.sh \
--conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=./environment/bin/python \
--master yarn-cluster \
--executor-memory 10g \
--driver-memory 10g \
--executor-cores 8 \
--num-executors 2 \
--archives ${ENV_HOME}/environment.tar.gz#environment \
predict.py model_path image_path output_path
- Yarn client mode (with conda package name "environment.tar.gz" for example)
export SPARK_HOME=the root directory of Spark
export ANALYTICS_ZOO_HOME=the folder where you extract the downloaded Analytics Zoo zip package
export ENV_HOME=the parent directory of your conda environment package
mkdir ${ENV_HOME}/environment
tar -xzf ${ENV_HOME}/environment.tar.gz -C ${ENV_HOME}/environment
PYSPARK_DRIVER_PYTHON=${ENV_HOME}/environment/bin/python PYSPARK_PYTHON=./environment/bin/python ${ANALYTICS_ZOO_HOME}/bin/spark-submit-python-with-zoo.sh \
--master yarn \
--deploy-mode client \
--executor-memory 10g \
--driver-memory 10g \
--executor-cores 16 \
--num-executors 2 \
--archives ${ENV_HOME}/environment.tar.gz#environment \
predict.py model_path image_path output_path
Example code
To verify if Analytics Zoo can run successfully, run the following simple code:
import zoo
from zoo.common.nncontext import *
from zoo.pipeline.api.keras.models import *
from zoo.pipeline.api.keras.layers import *
# Get the current Analytics Zoo version
zoo.__version__
# Create a SparkContext and initialize the BigDL engine.
sc = init_nncontext()
# Create a Sequential model containing a Dense layer.
model = Sequential()
model.add(Dense(8, input_shape=(10, )))


Views
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r-w-x bulma theme
Home
Demo
Extensions
r-w-x bulma theme
a theme based on
Bulma
and
Bulma extensions
CSS framework
npm install bulma-rwx
Download
Bulma Docs
v0.3.0
-
Based on Bulma 0.6.2


{{ partial "head.html" . }}
{{ partial "notification-bar.html" . }}
{{ partial "header.html" . }}
{{ partial "hero.html" . }}
{{ partial "leadtext.html" . }} {{ partial "hypermedia.html" . }} {{ partial "speccore.html" . }} {{ partial "specdomains.html" . }} {{ partial "stack.html" . }} {{ partial "ecosystem.html" . }} {{ partial "solutions.html" . }} {{ partial "implementations.html" . }}
{{ partial "news.html" . }}
{{ partial "scripts.html" }}


We Evaluate Data
The Process of Interpreting the meaning of the data we have collected, organized, and displayed in the form of a table, bar chart, line graph, or visual representation.
Your Data is in
Secure Hands
We ensure your data remains private and that your data remains secure.
Your data won't be shared with Advertisers.
Get the Information
you need
Our precisely structured algorithms traverse through the database and finds the patterns and analytics you need for your business.
All Your Data Needs
Under One Roof
Our company deals with data analysis on Healthcare, Movie Analytics, Social and Information Network Analysis, Business Analytics
About Us
We Are
Data
Analytics
Heroes
Dadaanlitix offers diligent analytics and data science services in various spheres of the industry, be it business, healthcare, entertainment industry or social media.
We transform the way in which you make decisions. Smart and impactful analytics to enhance your experience, and let your brand grow.
Find What You Need In The Sea Of Data
In the vast plethora of data available in todays network, our website offers user friendly services to view the exact data as required by you.
Information at Your Fingertips
Our system is built in such a way that it provides the user with accurate data in the matter of minutes.
We care
The entire initiative was built on the philosophy of providing easy to use welfare services fo our users at a single location.
Simplistic Representation of Your Results
The API’s are built as such that there response are represented in easy to understand graphs and figures which would be legible to those visiting our website for the very first time also.
Data is Everywhere
Our entire database is built on tangible information coming from various sources across the internet that provide accurate and efficient knowledge based representations to the user.
Some Stats
Zetabytes of data
in the Digital Universe
Hadoop users perform analytics
Terabytes of data processed by Google per Day
worth in Business Transactions


| DOSE: T+ 0:00 |
35 g |
oral |
Nutmeg |
(ground / crushed) |
| T+ 5:00 |
330 mg |
oral |
Nutmeg |
(liquid) |
| T+ 5:45 |
4 hits |
smoked |
Cannabis |
(plant material) |
I had never tripped on DXM before this experience.
My friend, whom I'll name R, had suggested to me that we trip on DXM. Before this was suggested to me, I had mixed 35g of nutmeg in orange juice and drank it. 5 hours later we got Robotussin and we each swallowed 330 mg. It tasted gross but I got over that fact. We spent about 45 minutes in my friend's room listening to Of Montreal waiting for the DXM to kick in, at this time I still didn't feel the nutmeg. After that 45 minutes we smoked a bowl of nug to combat the stomaches we were both experiencing. The cannabis helped a lot in getting rid of the stomachache.
After about another hour or so I started to feel the DXM and felt kind of like jelly. My friend suggested that I watch the visualizer on his computer and as I did I fell into a sort of trance. During that time I didn't really think anything at all, I was just amazed at the vizualizer. I turned back to look at my friend and he was just laying on his bed not saying anything so I decided to lay on the floor with a blanket. As I stayed there my vision started to spin and I fell into my body.
I don't know exactly how long I layed there but after awhile the spinning made my stomach turn and as I tried to get up I found it very difficult to do so but eventually I found a bucket in his room and threw up three times. I would have to say that this was the best part of the trip.  So then I lay back down and fall into my body once again, everything is still spinning. R tried to get me to get up, but I told him I couldn't, which at that moment I felt as though I'd never get up again.
I don't remember much after that and I eventually fell asleep. Overall I'd have to say it wasn't a very fun trip, the easiest way to put how I felt is I was messed up beyond belief. I probably will never try DXM again, or at least not with nutmeg. Since then I haven't taken nutmeg either.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Apache Cordova is a build system for creating native mobile apps with bundled HTML and JavaScript content. Apps built with Cordova are native apps that can be published on the app stores. Furthermore, you can add custom native plugins to extend the functionality of your app.
To learn how to install Cordova and mobile SDKs on your system, please go to the Build Overview.
Below we will show how to set up and build a Cordova project. Cordova is based on working with the command line in a terminal window (Cordova CLI = Command Line Interface). Do not fear! The commands for building apps are quite simple.
You can also consult the Cordova documentation to learn more about how to set up and build projects: cordova.apache.org/docs/en/3.6.0/guide_cli_index.md.html
Here is how to create a new Cordova project (procedure is the same for all platforms):
Open a command-line window
Go to a folder where you want the project subfolder to be created.
Use the cordova create command to create a project. This command has the following form:
cordova create project-folder app-identifier app-nameHere is an example that will create a folder called "DemoProject" with project template files:
cordova create DemoProject com.evothings.demoapp DemoAppNote that creating the project may take a while.
To issue further Cordova commands, move into the project folder, e.g. by typing:
cd DemoProject
Here is how you build your new Cordova project for iOS:
Make sure you are in the project folder in a terminal window
Add the iOS platform to the project. Note that this only needs to be done once for each project:
cordova platform add ios
Build the project:
cordova build ios
The output is an Xcode project, located in subfolder platforms/ios. Open a Finder window and navigate to the folder, there you will find the file DemoApp.xcodeproj (assuming you named your app "DemoApp"). Open this file to launch the project in Xcode. From Xcode you can run the app in the iOS simulator, or deploy the app to a devices (deploying to device requires membership in Apple's iOS Developer Program).
Here is how you build your new Cordova project for Android:
Make sure you are in the project folder in a terminal window
Add the Android platform to the project. Note that this only needs to be done once for each project:
cordova platform add android
Build the project:
cordova build android
The output is a debug-signed apk-file, located in subfolder platforms/android/ant-build
Deploy the apk-file to a device using the adb install command (adb = Android Debug Bridge, a command-line tool for Android).
Deploying the app to a device is a bit different depending on which operating system you are using, because of the different path separators used.
Windows:
adb install -r platforms\android\ant-build\DemoApp-debug.apk
OS X:
adb install -r platforms/android/ant-build/DemoApp-debug.apk
Linux:
adb install -r platforms/android/ant-build/DemoApp-debug.apk
Above examples assume you named your app "DemoApp".
The switch "-r" means "reinstall" and will overwrite the app if it is already installed (this is convenient, because then you don't have to uninstall the app before installing it again).
Cordova plugins add native functionality to JavaScript. Here is how to add plugins to your project:
Open a terminal window and go to the Cordova project folder.
Use the cordova plugin add command to add plugins. Here are examples of plugins to add:
cordova plugin add org.apache.cordova.device
cordova plugin add org.apache.cordova.console
cordova plugin add org.apache.cordova.vibration
Read more about plugins in the Cordova documentation: cordova.apache.org/docs/en/3.6.0/guide_cli_index.md.html
Documentation for standard Cordova plugins: cordova.apache.org/docs/en/3.6.0/cordova_plugins_pluginapis.md.html
This is the directory layout of a generated Cordova project. Put your HTML/CSS/JS in folder www. Edit config.xml to include the relevant settings for your project. Build output is found in the platforms folder.
config.xml (specify main HTML-file or URL here) hooks (build hooks - for advanced use) merges (platform overrides - for advanced use) platforms ios (Xcode project is found here) android ant-build (generated apk-file is found here) plugins (plugins are added here) www index.html (main HTML-file specified in config.xml)
The main HTML-file display when your app launches is specified in config.xml. Usually this file is named index.html, but you can name it anything as long as the name matches the setting in config.xml. You can also specify a connect URL to Evothings Workbench, read on below for further details.
You can use Cordova as is, without using Evothings Studio. But the workflow will be much faster if you use Evothings. Below we compare the two workflows.
Typical workflow when using Cordova WITHOUT Evothings Studio is as follows:
Edit your code (HTML/JS) and save
Build the app (cordova build ios/android)
Deploy the app to a device (adb install -r path-to-apk-file)
Launch the app on the device
Repeat above steps for each code change
Workflow when using Cordova WITH Evothings Studio:
Edit your code (HTML/JS) and save
The app is instantly reloaded on the device(s)
In the next section, we describe how to setup a Cordova project for use with Evothings Studio.
Evothings Workbench monitors the files in the current project and reloads the project on connected clients when a file is updated. This works with any web browser or web view widget. Automatic reload-on-save works with any Cordova project.
Note that the Evothings Client app itself is built with Cordova. It is a plain Cordova app with some custom plugins added, e.g. for socket communication and Bluetooth Low Energy (BLE).
To Evothings-enable your Cordova project, do as follows:
Launch Evothings Workbench.
Copy the connect address displayed in the bottom panel of the Workbench window.
Open the file config.xml (located in your Cordova project folder) in a text editor.
On this line, replace the start page of the Cordova project ("index.html") with the connect address of the Workbench:
<content src="index.html" />For example, if the address is "<IP_ADDRESS>:4042", you would enter this URL:
<content src="http://<IP_ADDRESS>:4042" />Save the file.
Build the project and launch the app on a device. Note that the device must be on the same network as your desktop machine running Evothings Workbench. When you launch the app, it should connect to the Workbench and display the Connect screen.
Find the index.html file of you project in the www folder using a file explorer (Finder on iOS X, Explorer on Windows).
Drag the file index.html into the Evothings Workbench window. This adds your project to the project list.
Click the Run button of your project. Clicking Run activates your project, and tells the Workbench that this is the project to reload when changes are made. You only need to click Run once. Any document you edit and save in the current project will automatically reload the app on your device.
Now you can just edit your HTML/CSS/JS files in any text editor. When you save a file, the app will be reloaded on the device!
As an alternative to editing the config.xml file you can create a link or button in index.html that connects to the Workbench. Here is how to do this:
Open the file index.html (located in your Cordova project folder) in a text editor.
Add HTML code to make a link that connect to the Workbench when selected. For example, if the Workbench address is "<IP_ADDRESS>:4042" the link looks like this:
<a href="http://<IP_ADDRESS>:4042">ConnectSave the file.
Proceed to build the project and launch the app on a device. When the app is started, the index.html built into the app will display. When selecting "Connect" the app will connect to the Workbench and you can run any HTML file inside the app, including index.html itself (which is kind of mind-boggling!).
If the Workbench address changes (for example if you get a new IP address from the WiFi network), you need to update the connect string in config.xml or the link address in index.html and rebuild the Cordova app. In this case you also have to close and restart the Workbench for everything to work.
Note that you can run your app on multiple devices/platforms, for instance an Android tablet and an iPad. When you update your code, the app will be reloaded on all connected devices!
Supported mobile platforms for Evothings are iOS and Android.
Cordova comes with a set of plugins that are supported for a wide range of platforms. Evothings apps can use custom plugins available for iOS and Android. As long as you do not require socket communication or BLE, you should be able to use Evothings Studio to build apps for any platform supported by Cordova.
The same goes for the Evothings Client app. It is available on iOS and Android, but should be possible to build from source for any platform supported by Cordova. (But you would miss the plugins not available for the target platform.)


Psalms 108:7
God hath spoken in his holiness; I will rejoice, I will divide Shechem, and mete out the valley of Succoth.


TCustomGradientSampler is a common ancestor for objects that can provide color gradient samples. The color gradient itself is defined in the Gradient property. The WrapMode property defines how the gradient continues beyond its specified bounds
[See Also] Sampling and Rasterization


INCell xls Importer
With this node you are able to read the well mean values from a IN Cell Analyzer 1000, and convert it to cellHTS2 readable format.
The experiments has the following structure: It has plates with some replicates for each plates. Each plate has 96, or 384 wells. The wells contain the experimental environment. From each well there can be taken some photographs on predefined positions (fields), which contains the cells.
Details here.
Dialog Options
- Folder of xls files
- From this folder will be selected the XLS files.
- XLS files
- You can select the Excel files belonging to this experiment. They will be used in this (alphabetical) order as the first plate's first replicate, first plate's second replicate, ..., first plate's k replicate; second plate's first replicate, ..., second plate's k replicate; ...; n plate's first replicate, n plate's second replicate, ..., n plate's k replicate.
- Well count
- Number of wells on each plates.
- Plate count
- Number of plates in the experiment.
- Replicate count
- Number of replicates (1, if you have no replicates, 2 if every plate has a pair with the same configuration, ...)
- Annotation file
- The position of the annotation file. It should contain in the first row the header: Plate Well GeneID GeneSymbol. The other rows are the tab separated values for the plates and wells. Every plate-well pair have to be enumerated in the plate/well order.
Ports
- Output Ports
-
| 0 |
Here are the data values (maybe with the annotation information). |


compute bc
Compute Beltrami coefficients mu of mapping from uv to vertex, where vertex can be 2D or 3D.
mu from 2D to 2D is defined by the Beltrami equation:
\[ \frac{\partial{f}}{\partial{\bar{z}}} = \mu \frac{\partial{f}}{\partial{z}} \]
mu from 2D to 3D is defined by:
\[ \mu = \frac{E-G +2iF}{E+G +2\sqrt{EG-F^2}} \]
where \( ds^2=Edx^2+2Fdxdy+Gdy^2 \) is metric.
Contents
Syntax
mu = compute_bc(face,uv,vertex)
Description
face : double array, nf x 3, connectivity of mesh uv : double array, nv x 2, uv coordinate of mesh vertex: double array, nv x 2 or nv x 3, target surface coordinates
mu: complex array, nf x 1, beltrami coefficient on all faces
Contribution
Author : Wen Cheng Feng Created: 2014/03/27 Revised: 2014/03/28 by Wen, add doc
Copyright 2014 Computational Geometry Group Department of Mathematics, CUHK http://www.math.cuhk.edu.hk/~lmlui
function mu = compute_bc(face,uv,vertex) nf = size(face,1); fa = face_area(face,uv); Duv = (uv(face(:,[3 1 2]),:) - uv(face(:,[2 3 1]),:)); Duv(:,1) = Duv(:,1)./[fa;fa;fa]/2; Duv(:,2) = Duv(:,2)./[fa;fa;fa]/2; switch size(vertex,2) case 2 z = complex(vertex(:,1), vertex(:,2)); Dcz = sum(reshape((Duv(:,2)-1i*Duv(:,1)).*z(face,:),nf,3),2); Dzz = sum(reshape((Duv(:,2)+1i*Duv(:,1)).*z(face,:),nf,3),2); mu = Dcz./Dzz; case 3 du = zeros(nf,3); du(:,1) = sum(reshape(Duv(:,2).*vertex(face,1),nf,3),2); du(:,2) = sum(reshape(Duv(:,2).*vertex(face,2),nf,3),2); du(:,3) = sum(reshape(Duv(:,2).*vertex(face,3),nf,3),2); dv = zeros(nf,3); dv(:,1) = sum(reshape(Duv(:,1).*vertex(face,1),nf,3),2); dv(:,2) = sum(reshape(Duv(:,1).*vertex(face,2),nf,3),2); dv(:,3) = sum(reshape(Duv(:,1).*vertex(face,3),nf,3),2); E = dot(du,du,2); G = dot(dv,dv,2); F = -dot(du,dv,2); mu = (E-G+2i*F)./(E+G+2*sqrt(E.*G-F.^2)); otherwise error('Dimension of target mesh must be 3 or 2.') end


Scientific theory or research that allows for the possibility of a Creator has been systematically shunned in the academic community this generation. Professors publicly holding to the possibility of a Creator do not get tenure and scholars do not get published. This problem is apparent even at the public school level when teachers in Kansas are prohibited from mentioning that there are two sides to the evolution debate.
Ben Stein has created a documentary entitled Expelled: No Intelligence Allowed." Below is a long trailer to the documentary - release date is currently April 18.
Don't assume that this documentary will be Christian "propoganda" against Darwinism. It won't be - Ben Stein is Jewish. It will simply show the general public what kind of persecution academics are suffering just for questioning Darwinian thought.
(HT: the evangelical outpost)


SYST10049 Web Development
@2021-2022 Sheridan College
Complete the worksheet for next week. Make notes and note questions and observations to be discussed in next class.
This week, start with w3schools' Tryit Editor v3.7
Which browser to use? Chrome
<!DOCTYPE html>
<html lang="en">
<head>
<title>Meaningful title</title>
<meta charset="utf-8">
</head>
<body>
</body>
</html>
Donald E. KnuthThe best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.
SYST10949 Web Development
@2021-2022 Sheridan College
SYST10049 Web Development
@2021-2022 Sheridan College


You work hard for your money, so your money should work hard for you.
We’ve created next-generation, intelligent financial solutions so you can do exactly what you want with your personal finances.
The cherry on top? It’s free.


Jo Swinson grilled on 'Tory' voting record as Lib Dems branded 'right wing'
Jo Swinson has faced a grilling on her voting record under the coalition government – when she voted for the controversial bedroom tax and against raising benefits.
The Lib Dem leader was asked how her party could be ‘trusted’ to help people living in poverty given the role it played in austerity under the coalition government formed in 2010.
Taking to the stage during a BBC Question Time leaders special, her own personal voting history was criticised by audience members, who asked her why she supported Universal Credit.
Ms Swinson accepted her party ‘didn’t get everything right’ in the past and categorically ruled out a future coalition government with the Conservatives under Boris Johnson.
‘I get it, we got stuff wrong, but in the future, we’ll do better’ she said.
However her reassurances didn’t satisfy the audience member, who pressed her to pledge scrapping Universal Credit like Labour have.
Advertisement Advertisement
The Lib Dem leader said she wouldn’t scrap the controversial six-in-one benefit because the issue is ‘the amount of money in it’, not the principle of benefit reform per se.
She was scrutinised on her role in worsening austerity after a brutal first question which asked if she regretted saying she could become Prime Minister.
Swinson admitted that things had got harder for her since the Brexit party stood down in Tory seats.
She also claimed that stranger things have happened in elections – such as Donald Trump’s victory in 2016.
However she also implied that she now accepts that she won’t be PM after polling day.
Attention then turned to her policy on Brexit.
She said: ‘You might agree with us, you might disagree with us, but you can’t accuse us of not having a clear position on Brexit’.
However, that failed to win over the audience who appeared largely unimpressed with her performance.
Ms Swinson, who has vowed to revoke Article 50 on ‘day one’ if she becomes Prime Minister, was criticised by pro-remain and vote leave audience members alike.
One remainer said she is turned off by the Lib Dems because they seem more interested in arguing with other parties than getting stuff done.
Advertisement Advertisement
The Lib Dem leader was also criticised by one man for branding Jeremy Corbyn an anti-Semite.
He definitely old her ‘Jeremy Corbyn has been fighting racism since before you were born’.
Another enraged audience member accused Ms Swinson of criticising Labour then making up policies on the back of what Jeremy Corbyn’s party have pledged.
The audience member said: ‘You pretend to be progressive. But you have voted against progressive policiesThe Lib Dems are a right wing party and they do not get my vote’
Ms Swinson replied to say she is not a ‘social democrat’ but a liberal.
 We are internationalist’ she said.


Importing material or participants from
another site you own
Note: To complete these procedures, you must be
assigned a role having the necessary permissions. To determine your
role, follow the directions in Participant roles. For a basic understanding of roles and
permissions, see Permissions and roles: Overview.
For any course or project site you create, you can import
instructor-generated content (e.g., announcements, assignments, tool
settings) from one or more other sites you own. Submitted material,
such as completed assignments, forum postings, or grades, cannot be
imported using the following methods; you must download and save such
material manually.
On this page:
Importing material from another site
To import material from another site:
- In the menubar of the destination site, click
Site Info
.
- At the top of the Site
Info screen, click
Import from Site
.
- On the Import Data screen,
choose one of the following:
- I would like to replace my data: Use this option if you
want the imported data to overwrite the existing data. This method
only allows you to select one site to import data from.
- I would like to merge my data: Use this option if you
want the imported data to merge with the existing data. This method
allows you to select multiple sites to import data from.
- I would like to merge my user(s): Use this option
if you want to import the participant roster from another site. This
method does not import roster-provided users.
- Select the box next to the site that contains the source
material. Then click
Continue
.
- If applicable, under the name of the site(s) you selected, check
the box next to each tool that contains source material you want to
import. If a box is grayed out, it means the corresponding tool is not
enabled in that site. Then click
Finish
.
Notes
- Items saved as drafts in the source site will
be imported as drafts, which means they are not immediately viewable by
participants. To make them viewable, you must post them. For
instructions, see Posting an assignment previously saved as a draft.
- When assignments are imported from another site, the
Add to
Gradebook
option is selected by default. If such an assignment
is then updated and saved, a corresponding Gradebook entry will be
created, which may or may not be what was intended. To associate the
item to an existing Gradebook entry rather than creating a new
Gradebook item from within the Assignments tool, select Associate
with existing Gradebook entry
and choose the desired Gradebook
entry before posting. For more on the differences between the two
options, see Linking an assignment to the Gradebook
- When you import Gradebook settings, it may be possible to import
an item with a Gradebook Item Point Value of less than or equal to 0
(zero); however, if you try to edit such an item, you will receive an
error message.


If you are here you are serious about your future. If you are here you are determined for change. If you are here, you are ready to make your dreams comes true.  Again, welcome.
Make sure that you add us to your email so you can be up to date when we send out emails and make sure you have on file an email that you check often. Make sure you register for Slack, this is our main and most timely wasy of comuninication. You will also meet with your facilitors and recieve instructions here as well. If you have any questions do not hesitate to contact me via Slack.


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Devon DeJardin's Eerie 'Guardians' Portraits See First Solo Gallery Show
Reminiscent of iconic cubist works.
by Emily EngleEmerging artist Devon DeJardin currently has his first major solo show on display at the former Taschen building in Los Angeles. Curated by New contemporary art dealers Coates and Scarry, the exhibition titled “Guardians” features a series of drawn and painted portraits in an eerie mix of dark grays and blacks and vibrant jewel tone color schemes.
DeJardin is a completely self-taught artist with no formal art education, leading to a unique approach that’s based on an intuitive process he chalks up to “trial and error.” The artist is becoming known for his use of found materials, such as old T-shirts, during his painting process to create the smudged effect his work often carries.
The figures in each piece echo cubism, often featuring geometric shapes like bold triangles and circles as facial features. An uneasy feeling is emitted through their large scale and off-kilter facial proportions.
“Guardians” is currently on display until November 24 at the address below.
Taschen Building
8070 Beverly Boulevard
Los Angeles, CA 90048
In other art news, the MoMA recently acquired works by the legendary NYC artist, RAMMELLZEE.


{% extends "base.html" %}
{% block content %}
{{ render_text("Hi " + name) }}
{{ render_text("You have asked to change your password.") }}
{{ render_text("To confirm, please click on the button below or use this link " + reset_password_link + " within 1 hour.") }}
{{ render_button("Reset your password", reset_password_link) }}
{{ render_text("If the password token has expired, you can request a new link by following the same process as before.") }}
{{ render_text("If you did not request a password reset, no further action is required.") }}
{% endblock %}


Marvelous Mutants
By Ross Anthony
Back in high school, my best friends used to spend their allowances every Thursday on the week's release of new comics. "X-Men" topped that list.
Still comic book collectors today, they told me about the creation of this film some time ago. And so I looked forward to it, not as an apostle, but as an outsider peeking in. I hoped to share their enthusiasm, but I feared a cartoony recreation, overly impassioned with larger than life characters. Fortunately, my fears were for naught!
"X-Men" is a film for moviegoers. Yes it has the action, but also solid dialogue, acting, and careful astute direction. Often films beg some patience from their audiences whilst laying out the story in careful order to enter their climax at the right angle. The best films build steadily, compelling at every turn. "X-Men" levitates so effortlessly that the climax is upon us before we even know it. That's a careful script and excellent direction.
Of course the characters are endearing as well. It helps immensely that they don't take themselves too seriously, smirking at the overly profound nicknames they've each somehow acquired.
The X-men are mutants. Every so often evolution skips a millennium or so and leaves the human race a handful of individuals with varied and superior power. Wolverine (played superbly by Hugh Jackman) has a metal alloy integrated into his skeleton and the power to heal his injuries in seconds. Storm can summon the rage of a tempest. Cyclops can destroy any target with a pinpoint laser ray emitted from his eyeband. Etc.
Sounds like kids' stuff on paper, but David Hayter's script is so well adapted that I expect adults to be flocking to this film in greater numbers than non-conservative parents to "Harry Potter and the Goblet of Fire." In fact, so many people rsvp'd that the pre-release showing I attended played in two screening rooms.
This story's conflict arises when regular humans fearing mutants in the classroom etc., discuss forcing mutants to register themselves and their specific powers. The mutants are split on how to counter this movement. Ian McKellen and old buddy Patrick Stewart are the two kingpins that play a game of chess with their small but talented mutant armies. The title says it all, there is very little regular human involvement here, however, there are some really sweet fight scenes between mutants including one that is ballet beautiful. More Kudos to the scriptwriter for keeping the combat dialogue free of "I'm going to get you!" or "Now I'm really mad!" type comic book cliché. In fact, the battle scenes are appropriately uncluttered with words. There's also drama and sweetly surprising humor sown in.
Simply put, "X-Men" is good entertainment.
Starring Patrick Stewart, Hugh Jackman, Ian McKellen, Halle Berry, Famke Janssen, James Marsden, Bruce Davison, Rebecca Romijn-stamos, Ray Park, Anna Paquin. Directed by Bryan Singer. Written by David Hayter, Story by Tom DeSanto and Bryan Singer. Produced by Joel Simon and William S. Todman, Jr. at Fox/Marvel.
Grade..........................A
-- Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
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
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Related links: index of all rec.arts.movies.reviews reviews


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Chad
The Story of the Jackal and the Dog
The jackal, the dog and their children, according to our ancestors, lived and ate together in the bush. One year, long ago, the weather was rather cold, and as they could not bear the cold, they and their children were about to die. The jackal asked the dog: "How will we ever find fire to heat ourselves?" The dog said: "Mondo, Mondo, look over there! This Man is lighting a fire! I will immediately go to fetch a piece of burning wood so that we can heat ourselves." The dog went to talk to the Man who was heating himself. The Man asked him, "Where do you come from?" The dog answered, "We will die from the cold, which is why I came to seek fire to heat ourselves."  Then the dog, with her mouth raised up, put herself nearer the fire to heat herself. She heated herself until she burned her fur, but her nose remained moist. During this time, the Man's Wife came to prepare a meal for them. They ate well, and the dog even ate the bones. Thus it forgot to take some fire with her. Meanwhile, the jackal suffered from the cold with her children. And to this day, she continues to call the dog to bring fire so that they can be warmed by its heat. Then the dog said, "I will go into the bush, where my nose leads me, only if it first becomes dry." Thus she gave up on the jackal with her children. As for the dog, she followed the Man to return to his house. This is why, even today, the nose of the dog always remains wet. When you notice that the nose of the dog becomes dry, you will know for certain that she just died, and so you should throw it in bush. To this day, whenever you hear the jackal crying out, it is that she is calling the dog. The dog in turn will bark, to affirm that it will go into the bush when its nose becomes dry.
Source: Here


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Ensembl is a joint project between EMBL-EBI and the Wellcome Trust Sanger Institute to develop a software system which produces and maintains automatic annotation on selected eukaryotic genomes.
Source: Extract from `Help & Documentation` [2020/05/20]
This plugin was not developed by the Ensembl team. Ensembl neither supports nor endorses this work. References to Ensembl in this plugin are meant only to credit the source of data.
Example queries: 'ATM', 'ENSG00000149311', 'ch11:108,222,484-108,369,102'


WITNESS LIST State Health Care Expenditures, Select Committee (SUBCOMMITTEE ON Interim Charge 5) March 24, 2004-10:00A ERS/TRS On: Beckett, Sheila (Employees Retirement System of Texas) Dial, Philip S. (Employees Retirement System of Texas) Featherstone, Pattie (Teacher Retirement System) Herrick, Devon M. (National Center for Policy Analysis) Jung, Ronnie (Teacher Retirement System) Nail, William S. (Employees Retirement System of Texas) Rodgers, Darren (Blue Cross Blue Shield of Texas) Stokes, Barry R. (1Point Solutions)


BOUNCE RATING: 7.5/10 --> Very good movie
For more reviews and movie wallpapers, visit http://www.joblo.com/
First, Juliette Lewis was dating Brad Pitt. Bounce. Then Brad Pitt hooked up with Gwyneth Paltrow and Juliette Lewis visited a rehab center. Bounce. Then Gwyneth Paltrow moved on to the next best thing in Ben Affleck and Brad Pitt got cozy with Jennifer Aniston. Bounce. The next thing you know, Brad Pitt marries Jennifer Aniston, and Gwyneth Paltrow and Ben Affleck break up. Bounce. Then word on the street is that Ben Affleck and Gwyneth Paltrow are still dating. Bounce. Then, JoBlo realizes that he has to get a life and stop coming up with cheap gimmicky ways to start his movie reviews. Bounce.
PLOT: A cocky guy who wants to stay in town to nail a girl he just met in a bar gives his plane ticket away to a nice guy who wants to get home to his family in time for Christmas. The plane crashes and everyone aboard it dies. The cocky guy suddenly feels very bad about his place in life and the wife of the nice guy is heartbroken about the loss of her husband. One year later, after getting out of rehab, the cocky guy turns into a nicer guy and follows his guilty conscience to meet the widow of the deceased man. Without her knowing who he is, they start to develop a nice relationship together.
CRITIQUE: A solid relationship movie which cannot be brushed aside with the simple tag of a "chick flick". This film delivers on many fronts including an interesting story, drama, humor, engaging characters and surprisingly, a decent helping of multi-leveled acting. I could generally tell if a "sad movie" touches me just by the appearance of water in my eyes, and this son-of-a-bitch had me tearing up left and right. Nice. I call this is a "sad movie" because it is not an upbeat film by any stretch of the imagination. It's serious, it deals with a very painful subject and it doesn't pretend to phony up to many of the Hollywood standards. The ending is left ajar, the complicated feelings associated with the characters in the film are massaged from top to bottom and the relationship is not automatically cured with a catch phrase. Basically, the film gives us a true to life tale of a bad stretch in the lives of two people, during which they must come to terms with their own feelings of guilt and unworthiness, before tackling a relationship with another. The film is also moved along by this whole connection between the two main characters, but that part of the film didn't interest me as much as their own inner-struggles. In fact, I thought that the revelation of the so-called "secret" to Gwyneth's character took a little too long to be divulged.
I mean, as an audience member, we are in on the concealment from the get-go and the waiting game just starts to weigh on you after a while. Acting-wise, I was quite surprised by the performance put forth here by Ben Affleck, who has proven to be a pro at banging out the charisma, looking great and running and shooting at the same time, but here he takes it all onto another level. He makes you like his character despite his many, many flaws. He also made me cry, and for that, kudos go out to you, young man. Keep up the solid work. Gwyneth was also very believable as the other half of this film, especially since she had to play against type, a regular woman with regular problems. In the end, the characters and the chemistry between the two leads are what make this story work because you believe in their sorrow, their hurt and their eventual resolution of issues. I can't say that I found too many things wrong with this movie. The story was an interesting one. The characters were believable and well played out. The touching moments were touching and the lighter moments light. I guess I would've preferred less time spent keeping the secret away from Gwynnie, but that's just a small miscalculation, in my humble opinion. Overall, I doubt that this film will win any awards or cha-chink its way through the box-office, but for me, it was definitely one of the nicer surprise movies of the year.
Review Date: November 18, 2000 Director: Don Roos Writer: Don Roos Producers: Michael Besman and Steve Golin Actors: Ben Affleck as Buddy Gwyneth Paltrow as Abby Tony Goldwyn as Greg Genre: Drama Year of Release: 2000 ------------------------------------ JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------ (c) 2000 Berge Garabedian
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


import numpy as np
import torch
from torch.autograd import Variable
from pyro.distributions.distribution import Distribution
from pyro.distributions.util import get_probs_and_logits, torch_eye, torch_multinomial, torch_zeros_like
[docs]class Categorical(Distribution):
"""
Categorical (discrete) distribution.
Discrete distribution over elements of `vs` with `P(vs[i])` proportional to
`ps[i]`. If `one_hot=True`, `.sample()` returns a one-hot vector;
otherwise `.sample()` returns the category index.
:param ps: Probabilities. These should be non-negative and normalized
along the rightmost axis.
:type ps: `torch.autograd.Variable`.
:param logits: Non-normalized log probability values. Either `ps` or `logits`
should be specified but not both.
:type logits: `torch.autograd.Variable`.
:param vs: Optional list of values in the support.
:type vs: `list` or `numpy.array` or `torch.autograd.Variable`
:param one_hot: Whether `sample()` returns a `one_hot` sample. Defaults
to `False` if `vs` is specified or `True` if `vs` is not specified.
:param int batch_size: Optional number of elements in the batch used to
generate a sample. The batch dimension will be the leftmost dimension
in the generated sample.
"""
enumerable = True
def __init__(self, ps=None, vs=None, logits=None, one_hot=True, batch_size=None, log_pdf_mask=None, *args,
**kwargs):
if (ps is None) == (logits is None):
raise ValueError("Got ps={}, logits={}. Either `ps` or `logits` must be specified, "
"but not both.".format(ps, logits))
self.ps, self.logits = get_probs_and_logits(ps=ps, logits=logits, is_multidimensional=True)
# vs is None, Variable(Tensor), or numpy.array
self.vs = self._process_data(vs)
self.one_hot = one_hot
self.log_pdf_mask = log_pdf_mask
if vs is not None:
vs_shape = self.vs.shape if isinstance(self.vs, np.ndarray) else self.vs.size()
if vs_shape != ps.size():
raise ValueError("Expected vs.size() or vs.shape == ps.size(), but got {} vs {}"
.format(vs_shape, ps.size()))
if self.one_hot:
self.one_hot = False
if self.ps.dim() == 1 and batch_size is not None:
self.ps = self.ps.expand(batch_size, self.ps.size(0))
self.logits = self.logits.expand(batch_size, self.logits.size(0))
if log_pdf_mask is not None and log_pdf_mask.dim() == 1:
self.log_pdf_mask = log_pdf_mask.expand(batch_size, log_pdf_mask.size(0))
super(Categorical, self).__init__(*args, **kwargs)
def _process_data(self, x):
if x is not None:
if isinstance(x, list):
x = np.array(x)
elif not isinstance(x, (Variable, torch.Tensor, np.ndarray)):
raise TypeError(("Data should be of type: list, Variable, Tensor, or numpy array"
"but was of {}".format(str(type(x)))))
return x
[docs] def batch_shape(self, x=None):
event_dim = 1
ps = self.ps
if x is not None:
x = self._process_data(x)
x_shape = x.shape if isinstance(x, np.ndarray) else x.size()
try:
ps = self.ps.expand(x_shape[:-event_dim] + self.event_shape())
except RuntimeError as e:
raise ValueError("Parameter `ps` with shape {} is not broadcastable to "
"the data shape {}. \nError: {}".format(ps.size(), x.size(), str(e)))
return ps.size()[:-event_dim]
[docs] def event_shape(self):
event_dim = 1
return self.ps.size()[-event_dim:]
[docs] def shape(self, x=None):
if self.one_hot:
return self.batch_shape(x) + self.event_shape()
return self.batch_shape(x) + (1,)
[docs] def sample(self):
"""
Returns a sample which has the same shape as ``ps`` (or ``vs``), except
that if ``one_hot=True`` (and no ``vs`` is specified), the last dimension
will have the same size as the number of events. The type of the sample
is `numpy.ndarray` if `vs` is a list or a numpy array, else a tensor
is returned.
:return: sample from the Categorical distribution
:rtype: numpy.ndarray or torch.LongTensor
"""
sample = torch_multinomial(self.ps.data, 1, replacement=True).expand(*self.shape())
sample_one_hot = torch_zeros_like(self.ps.data).scatter_(-1, sample, 1)
if self.vs is not None:
if isinstance(self.vs, np.ndarray):
sample_bool_index = sample_one_hot.cpu().numpy().astype(bool)
return self.vs[sample_bool_index].reshape(*self.shape())
else:
return self.vs.masked_select(sample_one_hot.byte())
if self.one_hot:
return Variable(sample_one_hot)
return Variable(sample)
[docs] def batch_log_pdf(self, x):
"""
Evaluates log probability densities for one or a batch of samples and parameters.
The last dimension for ``ps`` encodes the event probabilities, and the remaining
dimensions are considered batch dimensions.
``ps`` and ``vs`` are first broadcasted to the size of the data ``x``. The
data tensor is used to to create a mask over ``vs`` where a 1 in the mask
indicates that the corresponding value in ``vs`` was selected. Since, ``ps``
and ``vs`` have the same size, this mask when applied over ``ps`` gives
the probabilities of the selected events. The method returns the logarithm
of these probabilities.
:return: tensor with log probabilities for each of the batches.
:rtype: torch.autograd.Variable
"""
logits = self.logits
vs = self.vs
x = self._process_data(x)
batch_pdf_shape = self.batch_shape(x) + (1,)
# probability tensor mask when data is numpy
if isinstance(x, np.ndarray):
batch_vs_size = x.shape[:-1] + (vs.shape[-1],)
vs = np.broadcast_to(vs, batch_vs_size)
boolean_mask = torch.from_numpy((vs == x).astype(int))
# probability tensor mask when data is pytorch tensor
else:
x = x.cuda() if logits.is_cuda else x.cpu()
batch_ps_shape = self.batch_shape(x) + self.event_shape()
logits = logits.expand(batch_ps_shape)
if vs is not None:
vs = vs.expand(batch_ps_shape)
boolean_mask = (vs == x)
elif self.one_hot:
boolean_mask = x
else:
boolean_mask = torch_zeros_like(logits.data).scatter_(-1, x.data.long(), 1)
boolean_mask = boolean_mask.cuda() if logits.is_cuda else boolean_mask.cpu()
if not isinstance(boolean_mask, Variable):
boolean_mask = Variable(boolean_mask)
# apply log function to masked probability tensor
batch_log_pdf = logits.masked_select(boolean_mask.byte()).contiguous().view(batch_pdf_shape)
if self.log_pdf_mask is not None:
batch_log_pdf = batch_log_pdf * self.log_pdf_mask
return batch_log_pdf
[docs] def enumerate_support(self):
"""
Returns the categorical distribution's support, as a tensor along the first dimension.
Note that this returns support values of all the batched RVs in lock-step, rather
than the full cartesian product. To iterate over the cartesian product, you must
construct univariate Categoricals and use itertools.product() over all univariate
variables (but this is very expensive).
:param ps: numpy.ndarray where the last dimension denotes the event probabilities, *p_k*,
which must sum to 1. The remaining dimensions are considered batch dimensions.
:param vs: Optional parameter, enumerating the items in the support. This could either
have a numeric or string type. This should have the same dimension as ``ps``.
:param one_hot: Denotes whether one hot encoding is enabled. This is True by default.
When set to false, and no explicit ``vs`` is provided, the last dimension gives
the one-hot encoded value from the support.
:return: torch variable or numpy array enumerating the support of the categorical distribution.
Each item in the return value, when enumerated along the first dimensions, yields a
value from the distribution's support which has the same dimension as would be returned by
sample. If ``one_hot=True``, the last dimension is used for the one-hot encoding.
:rtype: torch.autograd.Variable or numpy.ndarray.
"""
sample_shape = self.batch_shape() + (1,)
support_samples_size = (self.event_shape()) + sample_shape
vs = self.vs
if vs is not None:
if isinstance(vs, np.ndarray):
return vs.transpose().reshape(*support_samples_size)
else:
return torch.transpose(vs, 0, -1).contiguous().view(support_samples_size)
if self.one_hot:
return Variable(torch.stack([t.expand_as(self.ps) for t in torch_eye(*self.event_shape())]))
else:
LongTensor = torch.cuda.LongTensor if self.ps.is_cuda else torch.LongTensor
return Variable(
torch.stack([LongTensor([t]).expand(sample_shape)
for t in torch.arange(0, *self.event_shape()).long()]))


Dorothy and the Wizard in Oz
by L. Frank Baum
Chapter 8: “The Valley of Voices”
Additional Information
- Year Published: 1908
- Language: English
- Country of Origin: United States of America
- Source: Baum, F. L. (1908). Dorothy and the Wizard in Oz. Chicago: Reilly and Britton.
-
Readability:
- Flesch–Kincaid Level: 6.0
- Word Count: 1,875
- Genre: Fantasy
- Keywords: 20th century literature, american literature, books of oz, l. frank baum, self-help
- ✎ Cite This
Downloads
By journeying through the glass mountain they had reached a delightful valley that was shaped like the hollow of a great cup, with another rugged mountain showing on the other side of it, and soft and pretty green hills at the ends. It was all laid out into lovely lawns and gardens, with pebble paths leading through them and groves of beautiful and stately trees dotting the landscape here and there. There were orchards, too, bearing luscious fruits that are all in our world. Alluring brooks of crystal water flowed sparkling between their flower-strewn banks, while scattered over the valley were dozens of the quaintest and most picturesque cottages our travelers had ever beheld. None of them were in clusters, such as villages or towns, but each had ample grounds of its own, with orchards and gardens surrounding it.
As the new arrivals gazed upon this exquisite scene they were enraptured by its beauties and the fragrance that permeated the soft air, which they breathed so gratefully after the confined atmosphere of the tunnel. Several minutes were consumed in silent admiration before they noticed two very singular and unusual facts about this valley. One was that it was lighted from some unseen source; for no sun or moon was in the arched blue sky, although every object was flooded with a clear and perfect light. The second and even more singular fact was the absence of any inhabitant of this splendid place. From their elevated position they could overlook the entire valley, but not a single moving object could they see. All appeared mysteriously deserted.
The mountain on this side was not glass, but made of a stone similar to granite. With some difficulty and danger Jim drew the buggy over the loose rocks until he reached the green lawns below, where the paths and orchards and gardens began. The nearest cottage was still some distance away.
“Isn’t it fine?” cried Dorothy, in a joyous voice, as she sprang out of the buggy and let Eureka run frolicking over the velvety grass.
“Yes, indeed!” answered Zeb. “We were lucky to get away from those dreadful vegetable people.”
“It wouldn’t be so bad,” remarked the Wizard, gazing around him, “if we were obliged to live here always. We couldn’t find a prettier place, I’m sure.”
He took the piglets from his pocket and let them run on the grass, and Jim tasted a mouthful of the green blades and declared he was very contented in his new surroundings.
“We can’t walk in the air here, though,” called Eureka, who had tried it and failed; but the others were satisfied to walk on the ground, and the Wizard said they must be nearer the surface of the earth then they had been in the Mangaboo country, for everything was more homelike and natural.
“But where are the people?” asked Dorothy.

“Can’t imagine, my dear,” he replied.
They heard the sudden twittering of a bird, but could not find the creature anywhere. Slowly they walked along the path toward the nearest cottage, the piglets racing and gamboling beside them and Jim pausing at every step for another mouthful of grass.
Presently they came to a low plant which had broad, spreading leaves, in the center of which grew a single fruit about as large as a peach. The fruit was so daintily colored and so fragrant, and looked so appetizing and delicious that Dorothy stopped and exclaimed:
“What is it, do you s’pose?”
The piglets had smelled the fruit quickly, and before the girl could reach out her hand to pluck it every one of the nine tiny ones had rushed in and commenced to devour it with great eagerness.
“It’s good, anyway,” said Zeb, “or those little rascals wouldn’t have gobbled it up so greedily.”
“Where are they?” asked Dorothy, in astonishment.
They all looked around, but the piglets had disappeared.
“Dear me!” cried the Wizard; “they must have run away. But I didn’t see them go; did you?”
“No!” replied the boy and the girl, together.
“Here,—piggy, piggy, piggy!” called their master, anxiously.
Several squeals and grunts were instantly heard at his feet, but the Wizard could not discover a single piglet.
“Where are you?” he asked.
“Why, right beside you,” spoke a tiny voice. “Can’t you see us?”
“No,” answered the little man, in a puzzled tone.
“We can see you,” said another of the piglets.
The Wizard stooped down and put out his hand, and at once felt the small fat body of one of his pets. He picked it up, but could not see what he held.
“It is very strange,” said he, soberly. “The piglets have become invisible, in some curious way.”
“I’ll bet it’s because they ate that peach!” cried the kitten.
“It wasn’t a peach, Eureka,” said Dorothy. “I only hope it wasn’t poison.”
“It was fine, Dorothy,” called one of the piglets.
“We’ll eat all we can find of them,” said another.
“But WE mustn’t eat them,” the Wizard warned the children, “or we too may become invisible, and lose each other. If we come across another of the strange fruit we must avoid it.”
Calling the piglets to him he picked them all up, one by one, and put them away in his pocket; for although he could not see them he could feel them, and when he had buttoned his coat he knew they were safe for the present.
The travelers now resumed their walk toward the cottage, which they presently reached. It was a pretty place, with vines growing thickly over the broad front porch. The door stood open and a table was set in the front room, with four chairs drawn up to it. On the table were plates, knives and forks, and dishes of bread, meat and fruits. The meat was smoking hot and the knives and forks were performing strange antics and jumping here and there in quite a puzzling way. But not a single person appeared to be in the room.
“How funny!” exclaimed Dorothy, who with Zeb and the Wizard now stood in the doorway.
A peal of merry laughter answered her, and the knives and forks fell to the plates with a clatter. One of the chairs pushed back from the table, and this was so astonishing and mysterious that Dorothy was almost tempted to run away in fright.
“Here are strangers, mama!” cried the shrill and childish voice of some unseen person.
“So I see, my dear,” answered another voice, soft and womanly.
“What do you want?” demanded a third voice, in a stern, gruff accent.
“Well, well!” said the Wizard; “are there really people in this room?”
“Of course,” replied the man’s voice.
 “Are you surprised that you are unable to see the people of Voe?”
“Why, yes,” stammered the Wizard. “All the people I have ever met before were very plain to see.”
“Where do you come from, then?” asked the woman, in a curious tone.
“We belong upon the face of the earth,” explained the Wizard, “but recently, during an earthquake, we fell down a crack and landed in the Country of the Mangaboos.”
“Dreadful creatures!” exclaimed the woman’s voice. “I’ve heard of them.”
“They walled us up in a mountain,” continued the Wizard; “but we found there was a tunnel through to this side, so we came here. It is a beautiful place. What do you call it?”
“It is the Valley of Voe.”
“Thank you. We have seen no people since we arrived, so we came to this house to enquire our way.”
“Are you hungry?” asked the woman’s voice.
“I could eat something,” said Dorothy.
“So could I,” added Zeb.
“But we do not wish to intrude, I assure you,” the Wizard hastened to say.
“That’s all right,” returned the man’s voice, more pleasantly than before. “You are welcome to what we have.”
As he spoke the voice came so near to Zeb that he jumped back in alarm. Two childish voices laughed merrily at this action, and Dorothy was sure they were in no danger among such light-hearted folks, even if those folks couldn’t be seen.
“What curious animal is that which is eating the grass on my lawn?” enquired the man’s voice.
“That’s Jim,” said the girl. “He’s a horse.”
“What is he good for?” was the next question.
“He draws the buggy you see fastened to him, and we ride in the buggy instead of walking,” she explained.
“Can he fight?” asked the man’s voice.
“No! he can kick pretty hard with his heels, and bite a little; but Jim can’t ‘zactly fight,” she replied.
“Then the bears will get him,” said one of the children’s voices.
“Bears!” exclaimed Dorothy. “Are there bears here?”
“That is the one evil of our country,” answered the invisible man. “Many large and fierce bears roam in the Valley of Voe, and when they can catch any of us they eat us up; but as they cannot see us, we seldom get caught.”
“Are the bears invis’ble, too?” asked the girl.
“Yes; for they eat of the dama-fruit, as we all do, and that keeps them from being seen by any eye, whether human or animal.”
“Does the dama-fruit grow on a low bush, and look something like a peach?” asked the Wizard.
“Yes,” was the reply.
“If it makes you invis’ble, why do you eat it?” Dorothy enquired.
“For two reasons, my dear,” the woman’s voice answered.  But now, good wanderers, your luncheon is on the table, so please sit down and eat as much as you like.”


| matchArg {checkmate} | R Documentation |
This is an extensions to match.arg
with support for AssertCollection
.
The behavior is very similar to match.arg
, except that NULL
is not
a valid value for x
.
matchArg(x, choices, several.ok = FALSE, .var.name = vname(x), add = NULL)
x |
[character] |
choices |
[character()] |
several.ok |
[logical(1)] |
.var.name |
[ |
add |
[ |
Subset of choices
.
matchArg("k", choices = c("kendall", "pearson"))


This project was bootstrapped with [Create React App] (https://github.com/facebook/create-react-app) and modified by TSH team.
 This should result in cloning the project, setting up
your repository
as origin and pushing the starter as your initial commit. The linter and tests will be run, to confirm that
everything works properly.
For E2E testing we are using the Cypress framework.
The configuration is mostly isolated to the e2e folder, to allow for easy removal when not needed and to avoid conflicts with any other testing libraries, as they tend to pollute the global namespace. We believe that proper e2e testing is extremely valuable, but we also recognize that it's not for everyone and it will probably be one of the most removed or ignored features in the boilerplate versions. To get rid of e2e testing simply delete the e2e directory, the e2e.dist env file, anything beginning with "e2e" from package.json's scripts field and the step named "e2e" from the bitbucket pipelines configuration.
The repository contains a .env.dist file with a list of all env variables used in the application and a
.env.e2e.dist file with variables used by the e2e framework. To use on local environment copy .env.dist to root
folder as .env and fill any missing variables (cp .env.dist .env
), to use e2e testing copy
.env.e2e.dist to e2e/
folder, rename to .env ( cp .env.e2e.dist ./e2e/.env
) and fill any missing variables.
In the project directory, you can run:
npm lint(:fix)
Runs the linter (and fixes fixable issues)
npm plop
Runs Plop JS used for generating custom hooks and react components.
e2e:run
Runs Cypress E2E tests in a headless mode (the browser window is not visible)
e2e:open
Opens the Cypress UI, allowing to run and watch E2E tests
e2e:ci
Builds the app as a CI environment, sets up an html server with npm run serve and runs the E2E tests in a headless mode. Useful when investigating pipeline failures.
npm start
Runs the app in the development mode. Open https://localhost:3000 to view it in the browser.
The page will reload if you make edits. You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode. See the section about running tests for more information.
npm run coverage
Launches the test runner in the coverage report generation mode. See this section for more information.
npm run build
Builds the app for production to the build folder. It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes. Your app is ready to be deployed!
See the section about deployment for more information.
npm run eject
Note: this is a one-way operation.
If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (Webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
 The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
All request to the API should be made using react-fetching-library
, which is a simple and powerful
API client
for React. Full documentation is available HERE.
In order to add new request you have to create an Action and add it under
src/api/actions
directory. Instead of
creating plain actions you should export action creators - functions that returns an action based on the arguments
passed (e.g. payload which should be sent to the API).
All actions should be grouped by functionality they represent. Group name, which is also directory name and a
prefix of file, which helds the action creators, should be in singular form. Good examples of groups are: auth,
user or article.
In order to create a logic which will be executed on all actions you can create an interceptor. There are two types of interceptors:
the difference between them is that the first one is executed before action is handled by fetch
and
the other one
is performed on the response returned by the server before it is resolved by a promise.
All interceptors should be added under src/api/interceptors
directory. After creating new
interceptor you have to
add it to the fetching client, which is created in ClientContextController inside
src/context/client
.
If you are working on a new functionality and the backend is not ready yet, you can create a mock which will simulate an endpoint and return given response instead of the real one.
All mocks should be added under src/api/mocks
directory, and used in the
src/api/mocks/mock-server
mock server,
made with mirage.js. The mock server is enabled when NODE_ENV is not production , or when
REACT_APP_CI=1.
If you would like to modify default react-fetching-library
types, you can do it inside src/api/types
directory.
This is perfect place for extending action with additional parameters:
import { Action as BaseAction } from 'react-fetching-library'; export type AdditionalProperties = { skipAuthorization?: boolean; }; export type Action= BaseAction ;
You can learn more in the Create React App documentation. To learn React, check out the React documentation.