{% extends "layout.html" %} {% set active_page = "about" -%} {% block title %}About{% endblock %} {% block body %}
What is TweetFreq?
TweetFreq provides tweet frequency and word counts for tweets posted by public Twitter accounts.
What can I do with it?
Data from TweetFreq can be used to discover patterns of activity for a given Twitter account. Patterns can be used to determine interests, connections, and biases. For example, news-related accounts tend to tweet at a higher rate during major events, but each news service will give a different amount of coverage to the same event. It is also easy to see how a brand responds to its customers.
The results are downloadable in various formats. Chart data can be exported to PNG, JPEG, PDF, SVG, and printer friendly formats. All report data is available in JSON form.
Why was it created?
TweetFreq was created as a way of improving my understanding of modern web applications. I wanted to build something that interacted with a popular web service, and generated interesting information. The decision to use word counts was inspired by an episode of Futurama.
Hopefully, TweetFreq will also serve as a reminder of what conclusions can be drawn from public sources on the internet. This site was built in less than a month, in my spare time. Marketers, advertisers, and states have access to much more sophisticated analytics.
How does it work?
The results are generated by analyzing up to about the last 3,200 tweets from a given Twitter account. The tweets are retrieved using Twitter's Application Programming Interface (API).
After the tweets are received, TweetFreq counts how frequently words are used in all of those tweets, while ignoring extremely common and uninteresting words called stop words.
The number of tweets per day are calculated by counting each time a particular date was used in a timestamp of a tweet. As a result, this does not include deleted tweets, or dates when tweets were not posted.
The results of each query are cached for an hour. This is done to improve responsiveness for popular queries, and to reduce the load on the site and Twitter. Those wishing to save a particular set of results should use one of the various export options described above.
The source code for this project is available on GitHub.
Anonymized visitor analytics can be viewed here.
{% endblock %}


Crook Actress Neha Sharma’s SULTRY Beach Pictures Are Too Appealing To Miss!
Neha Sharma has been seen in films like Crook and Tum Bin 2.
by Koimoi.com TeamNeha Sharma grabbed the eyeballs with her portrayal as Suhani in Emraan Hashmi’s action thriller, Crook. The actress has been hailed for her performance in several other projects like Jayantabhai Ki Luv Story, Tum Bin II but, this time she’s marking the headlines for her personal life. Neha is enjoying her getaway in Hawaii currently, but it’s her hot pictures that we can’t keep our eyes off.
Neha recently has been more than active on her Instagram, giving her fan base glimpses from her vacation. Time and again, the actress comes up with pictures from her photo shoots and as mesmerizing as she looks, one can only help embrace her beauty.
In the recent pictures posted by Neha Sharma, she can be seen in a black bikini, enjoying her time at a beach in Hawaii. Some of the pictures witness her posing alongside the seashore, with her shades on, and throwing best of her expressions at the camera. She complimented her look with a neckpiece, bracelet, and round shades.
Check out Neha Sharma’s super hot pictures below:
Meanwhile a few weeks ago, the actress posted a picture in a black ruffled dress, and viewers were all hearts for her look. Sitting on a chair, she posed like a diva with some killer expressions. The picture soon went viral with over 8 lakhs likes on Instagram.


{% include sidebar.html %}
{% include header.html %}
Resume
{{ site.data.bio.basics.name }}
{% include resume-network-links.html %}
{% include resume-address.html %}
{% include resume-interests-1.html %}
{% include resume-skills-1.html %}
{% include resume-education-1.html %}
{% include resume-work-1.html %}
{% include resume-projects-1.html %}
{% include resume-volunteer-1.html %}
{% include resume-publications-1.html %}
{% include resume-awards-1.html %}
{% include resume-references-1.html %}


--- layout: page title: About header-img: "img/about-bg.png" ---
I am an aspiring data scientist with a degree in Electrical Engineering. I consider myself to be very analytical. I also enjoy working out and reading comics.


COO
Matching algorithm with the mission to help individuals and companies to optimize for career fulfillments. Skills: Startup, Entrepreneurship, Data Analytics, Product Design, Product Management, Logo Design.
Check it outData Science
Data science project on population distribution weighted Canadian weather data, demonstrating data cleaning, scraping, and visualization techniques in Python. Tools: Python, Pandas, Jupyter Notebook, Numpy, Plotly, BeautifulSoup.
Check it outData Science
Data science project on sentiment analysis using data collected from Twitter API. Tools: Python, Pandas, Jupyter Notebook, Numpy, Plotly, Tweepy, Twitter API.
Check it outAndroid App
Simple Android App that flips a coin to rescue those indecisive moments. Tools: Java, html, CSS, Android Studio.
Check it out


--- layout: default title: Norma A. Padron, PhD ---
I'm a health economist assistant professor associate director of a research center on population health. Read more about my life...


My name is Emily Trabert. I'm currently a Software Development Engineer and Computer Science Tutor in Durham, NC. I graduated from American University in Washington, DC with a BS in Computer Science, a BS in Audio Technology, and a Minor in Graphic Design.
Interested in my tutoring services? Schedule this free introductory meeting and we can go over your goals and how I can best be of service.
I tailor my teaching style to each individual student based on how each one learns best. I also like to learn what each student is passionate about and make analogies about computer science to their passion. I believe learning should be about discovering practical skills for use in day-to-day life, not memorization.
I tutor a broad range of computer science subjects including basic programming concepts as well as the following languages:


Zerstorer Marcela:
Go to the Hills of Gold and hunt
Green Goblins, Hill Werewolves, Muertos Archers, Mountain Werewolf Chieftains, Muertos Guards and Mountain Fungus
. Bring back their
claws
as proof.


Setting up Shopyo¶
🔧 Install instructions¶
download python3.7
clone and cd into project
run
python -m pip install -r requirements.txt
👟 Run instructions¶
cd
into shopyo/shopyo if not already.
initialise and setup app.
python manage.py initialise
run the app.
python manage.py runserver
go to the indicated url
Super User password¶
User ID: user
password: pass


It's in our homes, our offices, our vehicles, our yards, our playgrounds. We use it to package food, bottle products, bag produce, make dinnerware and utensils, make toys....
Plastics have undoubtedly helped us to manufacture, package and ship goods more easily, for less money, and in some cases more safely than ever before.
But, plastics pose a significant threat to our planet as well. Part of the problem is plastic itself. The very qualities that make it an adaptable and durable product to use, also make plastic an environmental nightmare.
You see, plastics do not biodegrade. Instead they photodegrade - breaking down under exposure to the sun's ultraviolet rays, into smaller and smaller pieces.


Nishant Totla / @nishanttotla
Docker, Inc.
I confused my privilege for talent.
The kinds of things I internalized growing up
... not my problem
I was a good student with fairly rich parents
All my friends were similar
If others weren't part of my circles, they were "lesser"
Lost my usual group of friends
Decided I was going to make new American friends
I thought it would be easy
Didn't have a large group of friends around
Got exposed to the struggle to "belong"
Faced small and large instances of racism
Experienced failure due to personal struggle
Realized I could be smart and still fail
Accepted that circumstances can override efforts
Finally understood why talking about equality is important!
Especially if rooted in painful history
Damage not only limited to the target group!
Not all stereotypes are bad BUT
The effect matters more than your intentions!
The only way forward is to get as many people involved as possible!
Inclusion and equality aren't a state of being, but active effort.
If you have any kind of privilege, accept it, and use it well.
Life is not fair. Those who get the better deal may not realize it. Make them.
Talking about equality concerns all of us, even if you never had to think about it.
Experiences ⇒ Empathy ⇒ Inclusion ⇒ Equality
It's possible to control experiences.
Provide your friends the right ones.
The rest can follow and multiply!
I completely changed as a person. Anyone can.
- Find me on Twitter @nishanttotla
- Slides up at tiny.cc/earth-tones


Supplier REST API Service
Status:
Create, Retrieve, Update, Delete, and Penalize a Supplier:
Supplier ID:
Retrieve
Delete
Penalize
Name:
Phone:
Address:
Available:
True
False
Rating:
Products List:
Search
Clear
Create
Update
ID
Name
Phone
Address
Available
Rating
Product List


We extend bitcoin!
- cultivate distributed communities
- matrix integrated vortals
- seize granular web-readiness
- cultivate mission-critical mindshare
- optimize impactful web services
- benchmark seamless communities
- engineer frictionless initiatives
- optimize value-added portals
- target bleeding-edge e-commerce
- synthesize viral systems
- grow mission-critical content
- target sexy web services


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4-6
Dietary
Impress your guests with this side dish combo of sweet roasted carrots and creamy mozzarella, served with homemade pesto.
Position a rack in the centre of the oven and preheat the oven to its highest temperature.
Pour 2 tablespoons of the oil into a heavy ovenproof pan big enough to hold the carrots in a single layer. Set the pan over high heat and bring the oil to a light smoke. Add the carrots, sprinkle over a teaspoon of sea salt and turn the carrots to coat them in the oil.
Cook, turning over the carrots occasionally, until they’re browned in spots, this should take 6-8 minutes. Put the pan in the oven and roast, shaking the pan occasionally, until the carrots are evenly tender, this should take 8-12 minutes, depending on the size of the carrots. Remove from the oven and let the carrots cool slightly.
Pluck enough 5-8cm/2-3in delicate sprigs from the reserved carrot tops to make 40g/1½oz and toss them in a bowl with the basil leaves.
Whisk together the remaining 2 tablespoons of oil with the lemon juice and a good pinch of sea salt in a small bowl until the mixture looks creamy. Use a little of this lemon dressing to lightly dress the carrot-top and basil mixture (set aside the remaining lemon dressing). Sprinkle with a little more sea salt and toss well.
To make the pesto, put the carrot tops and basil in a small food processor and pulse several times. Add the walnuts, Parmesan, garlic and sea salt. Pulse several more times, add some oil, then blend, stopping and scraping down the sides of the processor if needed. Add enough oil to loosen the mixture and blend until well combined but still a bit chunky. Taste and season with more sea salt, if needed.
To serve, put the Burrata slices on a platter, arrange the roasted carrots on the platter and dollop over the pesto. Arrange the carrot-top and basil mixture on top and drizzle everything with the remaining lemon dressing.


David Dal Busco
Founder of
Fluster
. Creator of
DeckDeckGo
.
Organizer of the Ionic Zürich
Meetup
Zürich, Switzerland
twitter
linkedin
medium
dev
github
forum
stackoverflow


Glossolalia
Reference
Usage
In both methods, the generated word list appears by default in the file generated.txt
in the working directory.
When starting Dr. Racket without a pre-existing file, the current directory is the user's home directory.
Command Line
If you have Racket installed, you can run any of your Glossolalia files from whichever directory they are in:
racket example_lang.rkt
If you are using the prepackaged executable, you will have to add it to your path before being able to do the same, or put all your language files in the same directory as the executable. It can be run on Windows with:
./glossolalia.exe example_lang.rkt
Warning: When running from the executable, do not include the #lang glossolalia
line at the top of the code! Otherwise you will get a lexer error.
Dr. Racket IDE
Just open up your file in the Dr. Racket IDE and hit the 'Run' button.
Syntax
Each Glossolalia file is divided into four sections: the sounds section; the syllables section;
the filter and transformation rules section; and the configuration section. All four sections must be present
and occur in the order listed from top to bottom (as shown in the template portion of the examples page).
Each section is required to begin with its title. For instance, the sounds section is preceded by the word Sounds
,
the syllables section is preceded by the word Syllables
, etc.
Sounds Section
The sounds section is made up of one or more sound groups and cannot be empty in any valid file. As many sound groups
as the user desires can be named, each with as many 'sounds' as desired. Sounds in Glossolalia are not sounds proper, just written
representations of sounds: you can use the name alakazam
to stand for the sound of English 'f', if you wish, though sound
names with more than three letters are commonly discouraged (see the German-ish example for a justified exception).
Each sound group follows the same format: first, a group name, followed by an equal sign, follwed by a comma separated list of sound names. The list of sound names cannot be empty. In addition, each sound name may specify a percentage, which represents the probability that the sound will be chosen out of the group. Every sound name may specify a percentage, but if not all of them do, the probabilities of the remaining sound names are distributed equally from the remaining percentage after subtracting the specified percentages from 100.
<sound-group> ::= GROUP_NAME "=" <sound> ["," <sound>]*
<sound> ::= SOUND_NAME ["=" PERCENTAGE]
Syllables Section
Individual sounds are the most basic element of a generated word. Syllables are constructed from one or more sounds, pulled randomly from the specified sound groups. Syllables are also put into named groups, so that certain syllable patterns may be enforced or disallowed by filtering rules. There must be at least one syllable group, and within each variant of the group, one or more sound groups must be listed. Sounds will be chosen from the groups in the order they are listed, and will appear in the final generated word in that order. Syllable groups may have an attached percentage, to make certain syllable kinds occur more frequently, and within groups each syllable variant may also have a percentage to further refine the frequency.
Syllable groups follow a similar format to sound groups: each syllable group begins with a syllable name,
optionally followed by a percentage. Next comes the equal sign, followed by a bar |
separated list of syllable variants.
A syllable variant is a list of one or more group names, each with an optional percentage.
<syll-group> ::= SYLLABLE_NAME [":" PERCENTAGE] "=" <vari-list>
<vari-list> ::= <syll-variant> ["|" <syll-variant>]*
<syll-variant> ::= GROUP_NAME+ ["=" PERCENTAGE]
Rules Section
There are two types of rule in Glossolalia: filtering rules and transformation rules. Filtering rules check if a generated word includes disallowed sound or syllable combinations, and keeps the word from being added to the generated word list if so. Transformation rules change sound combinations that occur in a word to be some other sound, and can even be used to delete sounds in some instances. All transformation rules are executed after the prospective word has passed all the filtering rules, and transformation rules are applied cumulatively to a word, from top to bottom in the order they are written in the file.
Filtering rules may include a mix of sound and group names as arguments, or syllable names. Syllable name arguments cannot co-occur with sound or group name arguments, as they operate on a different view of the word. Transformation rules only allow sound and group names as arguments.
Rules come in three varieties: unary, binary, and ternary. Unary rules take a comma-separated list of arguments before the keyword that names the rule. Binary rules take a comma-separated list of arguments on either side of the keyword that names the rule. Ternary rules have two keywords that 'name' them. Both ends of the rule take a comma-separated list of arguments, and the keywords are separated by zero or more sound names. Currently, all ternary rules are transformation rules, and all transformation rules are ternary. Future versions of Glossolalia may not have this limitation.
<rule> ::= <unary-rule> | <binary-rule> | <ternary-rule>
<unary-rule> ::= <arg-list> UNARY_RULE_NAME
<binary-rule> ::= <arg-list> BINARY_RULE_NAME <arg-list>
<ternary-rule> ::= <arg-list> TERNARY_RULE_PRIM SOUND_NAME* TERNARY_RULE_SUB <arg-list>
Most of the rule names follow a pattern and are fairly intuitive. The handling of multiple arguments in a rule is shorthand for spreading the arguments out over multiple rules. So a rule like:
q, k never-followed-by g, v
is equivalent to writing:
q never-followed-by g
q never-followed-by v
k never-followed-by g
k never-followed-by v
The shorthand version does have the potential to be more efficient when generating much larger lists of words. Here is a list of all the rules Glossolalia currently supports.

Configuration Section
The configuration section is a list of key-value pairs, where each value is either an integer
or a string. Each key-value pair is separated by an equal sign, and looks like
KEYWORD "=" VALUE
. There are seven allowed keys, and each has a default value which is specified below.
Only the last two fields are string typed, while the first five take integers.
Seed
- Allows to generate a different word list (default:9001
)Count
- The number of words to generate (default:100
)Shortest
- The lowest possible number of syllables in a generated word (default:1
)Longest
- The biggest possible number of syllables in a generated word (default:5
)Mode
- The average number of syllables in the generated words (default:(Longest - Shortest) / 2
)Path
- The directory in which the output file will be generated (default:(current-directory)
)File
- The name of the output file, without the extension (default:"generated"
)
The Shortest
, Longest
, and Mode
keywords together define a triangle distribution, which
is sampled when generating the 'random' number of syllables in each word. As a result, most generated words should have a syllable count closer
to Mode
than to either of the ends.
Lexical
Comments
A comment begins with two dashes --
and runs to the end of the line.
Integer
An INTEGER
is one or more juxtaposed numeric characters.
Percentage
A PERCENTAGE
is a decimal number followed by the percent symbol %
.
Sound name
A SOUND_NAME
is one or more juxtaposed alphabetic characters.
Group name
A GROUP_NAME
the at-sign @
followed by one or more juxtaposed alphabetic characters,
possibly interspersed with single dashes -
.
Syllable name
A SYLLABLE_NAME
the dollar sign $
followed by one or more juxtaposed alphabetic characters,
possibly interspersed with single dashes -
.
Keyword
There are three types of keyword in Glossolalia:
- The four Headers:
Sounds
,Syllables
,Rules
, andConfiguration
- The five Configuration keys:
Seed
,Count
,Shortest
,Longest
, andMode
- The transformation and filter rules listed above
String
Strings begin with a double quote and end with a double quote; everything within the double quotes are the string contents. The string cannot contain double quotes within it, but this is fine since strings are only used for path and file names in Glossolalia anyway.


CrimPapers
Articles published on 22 April 2017
On 22 April 2017, 6 new articles were published in 4 journals.
Instruments For Evaluating Pharmacotherapy Intervention Efficacy in Violent and Aggressive Behavior and Conduct Disorder in Youth
Causes and Cures Xv: Synthesis and Integration
Deconstructing Criminology’s Origin Stories
A Child Abuse Research Network: Now What?
Changing Attitudes About Spanking Among Conservative Christians Using Interventions That Focus on Empirical Research Evidence and Progressive Biblical Interpretations
A Legacy of Harm: Punitive Drug Policies and Women’s Carceral Experiences in Canada by Emily van der Meulen, Ann de Shalit, Sandra Ka Hon Chu


Enter flow rate (vehicle count/hour) for this point of start
Flow rate for this start point has successfully been updated.


public interface IotDevice extends TopologyElement
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
CMD_FORMAT
Command format key.
|
static java.lang.String |
CMD_ID
Command identifier key.
|
static java.lang.String |
CMD_PAYLOAD
Command payload key.
|
static java.lang.String |
CMD_TS
Command timestamp (in milliseconds) key.
|
static java.lang.String |
RESERVED_ID_PREFIX
Device event and command identifiers starting with "edgent" are reserved for use by Edgent.
|
| Modifier and Type | Method and Description |
|---|---|
TStream<com.google.gson.JsonObject> |
commands(java.lang.String... commands)
Create a stream of device commands as JSON objects.
|
TSink<com.google.gson.JsonObject> |
events(TStream<com.google.gson.JsonObject> stream,
Function<com.google.gson.JsonObject,java.lang.String> eventId,
UnaryOperator<com.google.gson.JsonObject> payload,
Function<com.google.gson.JsonObject,java.lang.Integer> qos)
Publish a stream's tuples as device events.
|
TSink<com.google.gson.JsonObject> |
events(TStream<com.google.gson.JsonObject> stream,
java.lang.String eventId,
int qos)
Publish a stream's tuples as device events.
|
topology
static final java.lang.String RESERVED_ID_PREFIX
static final java.lang.String CMD_ID
commands(String...)
,
Constant Field Valuesstatic final java.lang.String CMD_TS
commands(String...)
,
Constant Field Valuesstatic final java.lang.String CMD_FORMAT
commands(String...)
,
Constant Field Valuesstatic final java.lang.String CMD_PAYLOAD
json
then
the key's value will be a JsonObject
,
otherwise a String
.
Key is "payload".commands(String...)
,
Constant Field ValuesTSink<com.google.gson.JsonObject> events(TStream<com.google.gson.JsonObject> stream, Function<com.google.gson.JsonObject,java.lang.String> eventId, UnaryOperator<com.google.gson.JsonObject> payload, Function<com.google.gson.JsonObject,java.lang.Integer> qos)
Each tuple is published as a device event with the supplied functions providing the event identifier, payload and QoS. The event identifier and QoS can be generated based upon the tuple.
stream
- Stream to be published.eventId
- function to supply the event identifier.payload
- function to supply the event's payload.qos
- function to supply the event's delivery Quality of Service.TSink<com.google.gson.JsonObject> events(TStream<com.google.gson.JsonObject> stream, java.lang.String eventId, int qos)
Each tuple is published as a device event with fixed event identifier and QoS.
stream
- Stream to be published.eventId
- Event identifier.qos
- Event's delivery Quality of Service.TStream<com.google.gson.JsonObject> commands(java.lang.String... commands)
commands
will result in a tuple
on the stream. The JSON object has these keys:
commands
- Command identifiers to include. If no command identifiers are provided then the
stream will contain all device commands.Copyright © 2016 The Apache Software Foundation. All Rights Reserved - 54ea8ac-20160726-1240


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"I would have girls regard themselves not as adjectives but as nouns." -Elizabeth Cady Stanton
Put clear nail polish on the inside of your rings to prevent having green stains
Hang your purses with shower curtain hooks.
Pour white wine over red wine stains to neutralize the red stain.
Paint your keys with nail polish to easily distinguish the sets.
Put pool noodles in your boots to keep them upright.
More Life Hacks For Girls
Share
Share
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Pin it
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|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object ch.epfl.lis.gnw.Solver
public class Solver
This class can be used to integrate either ODEs or SDEs. It provides a common interface for the two two types of solvers. ODEs are numerically integrated using the ODEMultistepSolver from opensourcephysics. To step the time by dt, it performs multiple smaller internal steps of fixed size to guarantee the specified precision. However, there are problems for very large step sizes dt, I think because the solver first tries to use a large internal step size, which can lead to negative concentrations. Also, I think there was another problem, either the maximum number of iterations got exceeded or there is a bug in the opensourcephysics library (the solver didn't step the time by the full dt it was asked to). For dt < 10, we never experienced problems. So if the user specifies a dt > 10, we step the ODEMultistepSolver multiple times (see numStepsODE_) (for each of these steps the ODEMultistepSolver will in turn perform multiple steps to guarantee the precision). SDEs are numerically integrated using our own solver, see the class SdeSolver.
| Nested Class Summary | |
|---|---|
static class |
Solver.type
The type of solver (ordinary or stochastic differential equation) |
| Constructor Summary | |
|---|---|
Solver(Solver.type solverType,
GeneNetwork grn,
double[] xy0)
Constructor |
| Method Summary | |
|---|---|
boolean |
converged()
Return true if the solution converged |
SdeSolver |
getSDESolver()
|
double[] |
getState()
Return the current state vector. |
double |
step()
Step the time by dt, return the time step that the solver actually made (should be dt) |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Solver(Solver.type solverType, GeneNetwork grn, double[] xy0)
| Method Detail |
|---|
public double step() throws java.lang.Exception
java.lang.Exception
public double[] getState()
public boolean converged()
public SdeSolver getSDESolver()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


--- layout: post date: 2011-02-16 time: "10:00:00" authors: ["Greg Wilson"] title: I Want Their Software tags: ["Noticed"] ---
This blog post about the Khan Academy might gush a bit, but the embedded video is a must-watch for anyone who cares about education. I really want their software...


-
NASA - SpaceX Launch
www.nasa.gov
NASA.gov brings you images, videos and interactive features from the unique perspective of America’s space agency. Get the latest updates on NASA ...
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"What happens if it runs into a planet?" A five-year-old boy has questions ...
www.cbc.ca
Earlier this month we aired a special science edition of The Current hosted by Astronaut Chris Hadfield. After the special, we heard about a ...
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The Odd Trio
www.nasa.gov
The Cassini spacecraft captures a rare family photo of three of Saturn's moons that couldn't be more different from each other! As the largest of the ...
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Exoplanet Q & Alien
www.youtube.com
In this inaugural edition of Exoplanet Q & Alien, JPL's Josh Rodriguez explains some of the techniques used for direct imaging of "exoplanets" -- ...
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NASA JPL Live
www.ustream.tv
Mars Comet Science Workshop JPL will host a half-day science workshop on Comet Siding Spring (C/2013 A1) on Friday, Sept. 19 from 11 a.m. to 5 p.m. ...
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NASA Hosts Media Briefing to Announce New Earth-Observing Role for ...
www.nasa.gov
NASA opens a new era this month in its exploration of our home planet with the launch of the first in a series of Earth science instruments to the ...
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NASA's Earth Minute: Mission to Earth?
www.youtube.com
NASA doesn't just explore outer space! Since 1959, with the launch of the first weather satellite, NASA has been studying our home planet on a global ...
-
What's Up for September 2014
www.youtube.com
View the red star Antares near the red planet Mars, plus the Zodiacal Light that points towards Jupiter in the morning sky.
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Is NASA Going To Find Life On Europa?
www.youtube.com
Each month DNews will sit down with NASA to discuss amazing space topics! This month, we'll be talking about Jupiter's icy moon Europa. Could its ...
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Monthly SpaceOut From NASA's JPL & DNews - Google+
plus.google.com
Each month DNews will sit down with NASA to discuss amazing space topics! This month, we'll be talking about Jupiter's icy moon Europa. Could its ...
-
Sailing Past Neptune's Moon Triton
amp.twimg.com
Sail past Neptune's moon Triton, with data obtained from NASA's Voyager 2 spacecraft in 1989. The footage has been restored and used to construct the ...
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SpaceX Webcast
www.spacex.com
SpaceX designs, manufactures and launches advanced rockets and spacecraft..
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iPhone camera evolution: How does the iPhone 6 camera compare to previous ...
snapsnapsnap.photos
How does the iPhone 6 camera stack up against previous hardware? In her ongoing series, professional iPhone photographer Lisa Bettany takes a hard ...
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On a Warmer Planet, Which Cities Will Be Safest?
www.nytimes.com
Scientists trying to predict the consequences of climate change see few havens from future storms, floods and droughts. But some regions will fare ...
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MAVEN
www.nasa.gov
The Mars Atmosphere and Volatile EvolutioN (MAVEN) mission, scheduled for launch in late 2013, will be the first mission devoted to understanding the ...
-
SpaceX
blogs.nasa.gov
This morning’s launch begins a busy month in space for the International Space Station as the orbiting laboratory prepares to welcome the Dragon that ...
-
38 maps that explain the global economy
www.vox.com
Commerce knits the modern world together in a way that nothing else quite does. Almost anything you own these days is the result of a complicated web ...
-
Aspirin a day could dramatically cut cancer risk, says biggest study yet
www.theguardian.com
Daily pill for middle-aged could save 130,000 lives over 20 years in Britain alone, scientists suggest
-
GCR - - Biggest airport in the world to proceed in Dubai
www.globalconreview.com
The $32bn expansion of Al Maktoum International Airport was approved by Mohammed bin Rashid Al Maktoum. When complete in 2027, developers say it will ...
-
Troy Hunt: Everything you need to know about the Shellshock Bash bug
www.troyhunt.com
Observations, musings and conjecture about the world of software and technology
-
UN climate change summit in New York – as it happened
www.theguardian.com
Barack Obama, David Cameron and Dilma Rousseff are among leaders in New York today at a climate summit hosted by Ban Ki-moon
-
NASA's Eyes on the Solar System
eyes.nasa.gov
Eyes on the Solar System is a 3-D environment full of real NASA mission data. Explore the cosmos from your computer. Hop on an asteroid. Fly with ...
-
Breezy Science, Plant Studies and More Head to Space Station on SpaceX-4
www.nasa.gov
SpaceX’s Dragon will deliver new technology, biology and biotechnology, as well as Earth and space science research to the space station.


Ontology: BootStrap-Ontology.txt
Comment: Boot-Strap Ontology.
This ontology is meant to capture concepts related to the Hum Language and Hum Framework.
Dictionary: Action Vocabulary.
Role attributes include actions.
Action attributes include action-statement, action-block.
Action-statement is a statement.
Public-action is an action.
Action-block attributes include instruction-lines.
Instruction-line attributes include role, statement, comment, annotation.
Dictionary: Blackboard vocabulary.
Blackboard attributes include entity-attribute-dictionary, attached-world-base.
Dictionary: Frame vocabulary.
Frame attributes include title, frame-lines.
Frame subtypes include role-action-frame, action-subframe, dictionary-frame, context-frame, vignette-subframe, view-frame, plan-frame.
Plan-frame attributes include goal-statement, precondition-statements, action-statements.
Role-Action-frame includes a set of action-subframes.
sequence does not matter
Action-subframe attributes include action-statement.
Context-frame includes a list of vignette-subframes.
sequence does matter
Vignette-subframe attributes include pattern-lines, response-lines.
Dictionary: Frame-line Types.
Frame-line attributes include source, leader, comment, annotation.
Comments are enclosed in parentheses.
Annotations are enclosed in brackets.
Comments and annotation are empty in mark-up-lines.
Unused comments and annotations will be empty strings.
Frame-line subtypes include action-line, instruction-line, mark-up-line, pattern-line, response-line, comment-line, view-line.
Instruction-line attributes include role, statement.
Dictionary-line attributes include statement.
Pattern-line attributes include pattern.
Response-line subtypes include mark-up-line, response-instruction-line.
View-line subtypes include mark-up-line, view-instruction-line.
Dictionary: Instruction vocabulary.
Instruction-line is a frame-line.
Instruction-line attributes include role, statement.
Statement attributes include source, nouns.
Statement subtypes include action-statement, conditional-statement, dictionary-statement, plan-action-statement.
These statement types vary mainly in terms of context. i.e. the default role
Conditional-statement attributes include initial-keyword.
Conditional-statement subtypes include if-statement, else-statement, for-statement, unless-statement.
Dictionary: Mark-Up Vocabulary.
Some mark-up is only valid in view-frame context.
Mark-up-line attributes include source, mark-up-tokens.
View-mark-up-line is a mark-up-line.
Response-mark-up-line is a mark-up-line.
Comment-mark-up-line is a text-mark-up-line.
I am trying to express a constraint: Comment-mark-up should not include widgets.
Dictionary: Noun vocabulary.
Entity is a noun.
Attribute is a noun.
Noun attributes include noun-name, value-type, noun-value.
Value-type categories include string, text, measure, identifier.
Dictionary: View Vocabulary.
View attributes include view-name, view-lines.
View-markup-line is a view-line.
View-instruction-line is a view-line.
Dictionary: Vignette Vocabulary.
Context attributes include context-name, vignettes.
Vignette attributes include patterns, response-lines.
Response-mark-up-line is a response-line.
Response-mark-up-line attributes include source, text-mark-up-line.
Dialog-instruction-line is a instruction-line.
See Action Vocabulary
Dialog-instruction-line is a response-line.
Note: Multiple-Supertypes
Dictionary: Widget Vocabulary.
Widget attributes include widget-type, widget-tokens.
Token attributes include token-type, token-value.
Token-type categories include colon, label, noun.
Role: Blackboard -- Mark the noun-value as changed.
Role:
Blackboard.
Action:
Mark the noun-value as changed.
(Internal action.)
Role: Blackboard -- Set entity attribute noun-value.
Role:
Blackboard.
Action:
Set entity attribute noun-value.
Store the noun-value in the entity-attribute-dictionary.
Mark the noun-value as changed.
Update the attached-world-base.
Critique:
The noun: "entity-attribute-dictionary" has no antecedant.
The noun: "attached-world-base" has no antecedant.
Role: Blackboard -- Store the noun-value in the entity-attribute-dictionary.
Role:
Blackboard.
Action:
Store the noun-value in the entity-attribute-dictionary.
(Internal action.)
Role: Blackboard -- Update attached-world-base.
Role:
Blackboard.
Action:
Update attached-world-base.
(Send the data which has been changed on the blackboard to the attached world-base, if any.)
Role: Blackboard -- Update the attached-world-base.
Role:
Blackboard.
Action:
Update the attached-world-base.
(Internal action.)
Role: Dialog -- Ask view-name.
Role:
Dialog.
Action:
Ask view-name.
(Show the view identified by view-name in update mode.)
Role: Dialog -- Push context-name.
Role:
Dialog.
Action:
Push context-name.
(Push the context onto the context-stack.)
Role: Dialog -- Show view-name.
Role:
Dialog.
Action:
Show view-name.
(Show the view identified by view-name in read-only mode.)


RediSearch
Add User
Add User
User Data
Username
@
Name
Age
Add User
Search by name or user (without "@")
Username
@
Name
Age


 Also includes a handy site profileing decorator.
The primary purpose is to provide a means for controlling console output globally and within closures as required. An optional output window is provided as well. This is helpful for devices without a console window or when you do not require the full feature set of the native browser consoles. Finally a handy profiler for profiling javascript code execution and individual components.
All that utility at just 0.309kb minified in a production environment and under 12kb minified in development.
See the docs for more info on the Debugger & Profiler classes.


--- title: Basics of making maps with leaflet.js & browserify slug: leaflet-basics published: true layout: post type: post redirect_to: "http://makerlog.org/posts/leaflet-basics" ---
Leaflet.js is an awesome, easy to learn mapping library. Here we’ll go through some introductory examples so you can get started using it in your projects.
Hey, if leaflet is a mapping library for browsers, what’s it doing on npm?
Client-side code can be distributed through npm, and combined with a tool like browserify, which bundles node modules for the browser, it works pretty great.
Make sure you have node installed. I recommend using a tool called nvm
for installing node.js if you're using mac or linux.
nvm:
If you're using Windows, install node.js using the .msi package on the nodejs.org downloads page:
First, create and navigate to a new project directory and create these files:
mkdir leaflet-example
cd leaflet example
touch index.html app.js style.css
Now run npm init
to create a package.json file.
You should get something like this after you answer the questions:
{
"name": "leaflet-basics",
"version": "0.0.0",
"description": "introduction to using leaflet with browserify",
"main": "app.js",
"scripts": {
"start": "beefy app.js:bundle.js --live",
"bundle": "browserify app.js -o bundle.js"
},
"author": "",
"license": "MIT",
"dependencies": {
},
"devDependencies": {
}
}
npm
We'll use the --save
argument so that leaflet.js is saved as a dependency in package.json
npm install --save leaflet
Create an html file that looks like this:
<!doctype html>

<title>leaflet example</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="node_modules/leaflet/dist/leaflet.css">

<link rel="stylesheet" href="style.css">

Note that for the stylesheets we’re providing the path directly to the leaflet package in the node_modules folder:
node_modules/leaflet/dist/leaflet.css
Our script tag points to bundle.js
, which will be generated by a tool called beefy, which creates a development server with live reloading of browserify bundles.
Make sure the #map
div has a height, otherwise the map won’t show up.
Add this to your the styles.css file:
#map {
height: 300px;
}
Now, in the app.js file, require the leaflet module like this:
var L = require('leaflet');
You could probably use any variable name here, but L
is a common variable name for leaflet. You’ll see it in the leaflet docs and tutorials.
Because we’re using browserify, we need to tell leaflet the specific location of the images folder that it needs to render the page:
L.Icon.Default.imagePath = 'node_modules/leaflet/dist/images/';
Now we can create a map!
You can use the L.map()
method to create the map:
var map = L.map('map');
map.setView([47.63, -122.32], 11);
The map.setView()
method centers the map at a latitude/longitude, then sets the zoom level. In the above example the lat/long centers the map on Seattle, WA, and the zoom level is at 11.
Finally, we need to tell the map to use a specific tileset:
var attribution = 'Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © CloudMade';
var tiles = 'http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png';
L.tileLayer(tiles, {
maxZoom: 18,
attribution: attribution
}).addTo(map);
It’s important to properly attribute tile image and data sources, so we’re setting the attribution
variable to a string crediting OpenStreetMap and CloudMade.
Next the tiles
variable is set to a url for a popular cloudmade tileset. Note that we’re using the api key that Leaflet uses in tutorials. For production code you should create an account on cloudmade.com, and create an api key for your app.
Then you can replace the !!!APIKEY!!!
portion of the url seen below with your api key:
var tiles = 'http://{s}.tile.cloudmade.com/!!!APIKEY!!!/997/256/{z}/{x}/{y}.png';
Currently, your app.js file should look like this:
// require leaflet.js
var L = require('leaflet');
// specify the path to the leaflet images folder
L.Icon.Default.imagePath = 'node_modules/leaflet/dist/images/';
// initialize the map
var map = L.map('map', {
scrollWheelZoom: false
});
// set the position and zoom level of the map
map.setView([47.63, -122.32], 11);
// set an attribution string
var attribution = 'Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © CloudMade';
// set the tiles the map will use
var tiles = 'http://{s}.tile.cloudmade.com/BC9A493B41014CAABB98F0471D759707/997/256/{z}/{x}/{y}.png';
// create a tileLayer with the tiles, attribution
var layer = L.tileLayer(tiles, {
maxZoom: 18,
attribution: attribution
});
// add the tile layer to the map
layer.addTo(map);
Now that we've got our basic components together, let's use browserify and beefy so you can serve the site on your computer.
First, install beefy and browserify. Here we'll use the --save-dev
argument so that these modules get saved in our package.json file as development dependencies.
npm install --save-dev beefy browserify
Now that those modules are installed, we'll use the beefy
command to run a development version of the site:
beefy app.js:bundle.js --live
This command takes our node-style code in app.js, and bundles it using browserify to serve the bundle.js file. The --live
argument enables live reloading of the page, so every time you save a file, the browser will reload.
We can make our lives simpler and not have to remember/type that command all the time by using npm scripts.
In your package.json file, and change the scripts property to look like this:
"scripts": {
"start": "beefy app.js:bundle.js --live",
},
Now, we can run a much simpler command to run the site:
npm start
Run that and you'll be able to go to http://localhost:9966 to see your site.
Note that running beefy doesn't create a bundle.js file in your file system, it just serves one through the development server.
To create a bundle.js file that you can use to deploy on GitHub Pages or wherever you host your site, you'll use the browserify
command.
This will generate a bundle.js file:
browserify app.js -o bundle.js
We can use npm scripts again to simplify this:
"scripts": {
"start": "beefy app.js:bundle.js --live",
"bundle": "browserify app.js -o bundle.js"
},
Now, the start
command is one of the few that npm directly supports. We can create commands with arbitrary names like bundle
, but to use it, we prepend it with the run
command, so it'll look like this:
npm run bundle
Run the above command and that will create the bundle.js file you can use when deploying your site.
There are a few basic elements that you’ll use on regular basis for drawing on a map. Here’s a look at how to make each one of those:
To get started learning popups, let’s make the map show a popup with the latitude and longitude of place we click on the map.
To create a popup, use the L.popup()
method:
var popup = L.popup();
Next we need to listen for the click
event on the map:
map.on('click', onClick);
We’ve passed a function named onClick
to the event listener, so let’s create that function:
function onClick(e){
popup
.setLatLng(e.latlng)
.setContent("You clicked the map at " + e.latlng.toString())
.openOn(map);
}
To create a marker, use the L.marker()
method:
var marker = L.marker([47.63, -122.32]);
marker.addTo(map);
The above code will add a marker to the center of your map, as we're using the some lat/long for this marker as the map view.
Let's add a popup to that marker.
First, set some html content to a variable:
var markerHtml = 'this is a marker. pretty great, right?';
Next, bind a popup to the marker:
marker.bindPopup(markerHtml);
Now when you click on the marker, the popup will show up the the html you specified.
To make the popup open up by default, try this:
marker.bindPopup(popupContent).openPopup();
Now when you look at your map again, you'll see that the popup is open by default.
Vectory layers are the things you can draw on top of the map. Some of the basic types: lines, rectangles, circles, and polygons. In this section we'll make one of each of those vector layer types.
We'll use the L.polyline
method for drawing lines on the map. it takes an array of lat/long coordinates, and an options object. This method extends the base L.Path
method, so you can also use any path options.
Here's an example:
var polylinePath = [
[47.607204675859045, -122.3298454284668],
[47.60182268729636, -122.32521057128906],
[47.60095457276622, -122.32349395751952],
[47.5998260023411, -122.32237815856934],
[47.59842248977284, -122.32124090194701],
[47.59655590441905, -122.32023239135741],
[47.59175167310035, -122.32126235961914],
[47.588278460128734, -122.32057571411133],
[47.58329978624572, -122.31997489929199],
[47.579478622338286, -122.3192024230957],
[47.57756793579513, -122.3196315765381]
];
var polyline = L.polyline(polylinePath);
polyline.addTo(map);
This is a line along part of the I-5 highway in the Seattle area. Try it out in your map. Try changing the path to see what lines you can make. Remember that we made that popup that shows the lat/long when you click on the map.
Creating a rectangle is very similar to creating a polyline, but takes two coordinates as two corners as the rectangle.
Here's an example that loosely outlines Lake Union in Seattle:
var rectBounds = [[47.64614, -122.34555], [47.6274, -122.32839]];
var rectangle = L.rectangle(rectBounds);
rectangle.addTo(map);
When creating a circle, we use the L.circle
method and give one lat/lng coordinate as the center point, followed by the radius.
Here's an example with a circle centered on the Seattle neighborhood Fremont (also known as the center of the universe):
var circle = L.circle([47.65136, -122.35087], 300)
circle.addTo(map);
A polygon can be any arbitrary shape, good for outlining buildings, parks, etc. To create a polygon, we use L.polygon
.
Here’s an example that really roughly outlines the downtown Seattle area:
L.polygon([
[47.61311, -122.34967],
[47.61594, -122.33156],
[47.60466, -122.32169],
[47.60211, -122.33551]
]).addTo(map);
This gets you started with leaflet.js. You’ve learned about getting a map to show up on a page and drawing basic shapes. Just by composing shapes and popup markers in this way you can make a useful map very easily.
Watch this blog for additional posts about leaflet.js, and if you’re interested in learning the library in depth, considering pre-ordering the book Learn.js #3: mapping with leaflet.js. You can also sign up for our newsletter to get notified about new posts and updates on the leaflet.js book.


% include com/stdhead.html %>
<%- include('com/nav.html', {navClass: ''}) %>
Change your password
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« Back to login
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<% include com/footer.html %> <% include com/stdjs.html %>


REST API Documentation
Introduction
This page describes how to develop against the ZOOMA REST API to search for and retrieve ZOOMA objects.
All requests should be made to the root URL of the Zooma API, which is not shown in the example requests. The root URL for the API is
http://www.ebi.ac.uk/spot/zooma/v2/api
Predicting Annotations
You can use Zooma to predict an ontology annotation given a property value (and optionally a property type).
Example Request:
Predict an ontology annotation for the text value "mus musculus"
GET /services/annotate?propertyValue=mus+musculus
Response:
This example predicts that 'mus musculus' should be annotated with the ontology term http://purl.obolibrary.org/obo/NCBITaxon_10090. The confidence for this prediction is 'HIGH', and derives from an existing annotation the URI http://rdf.ebi.ac.uk/resource/zooma/gxa/90E386B39F0AD3DA5CCBD8AAA6F14907. This annotation was predicted based on curated mappings in the 'ExpressionAtlas (atlas)' database.
Additional Parameters:
Zooma supports the option to specify the data sources it will search from. By default (specifying nothing), Zooma will search its available databases containing curated mappings (and that do not include ontology sources), and if nothing is found it will look in the Ontology Lookup Service (OLS) to predict ontology annotations.
A set of filters can be applied to modify the default behavior:
- required:[datasource1,datasource2,…]
- preferred:[datasource2,datasource1,…]
- ontologies:[efo,go,…]
where datasource1,datasource2,etc, are the database names of the datasources (see table below).
- required will limit the search to the given datasources
- preferred will provide a ranking for those datasources
- and ontologies will limit the OLS search to the given ontologies
If 'required:[none]' is specified, Zooma will search the OLS without looking into the datasources. If 'ontologies:[none]' is specified, Zooma will not search the OLS if the datasource search fails to make any predictions.
In the table below you can see the available databases containing curated mappings in Zooma.
To define the source(s) you want Zooma to search in, use the Database name in the 'required:[]' field.
e.g. use 'required:[cttv]' to look into OpenTargets.
GET /services/annotate?propertyValue=disease&filter=required:[cttv]
| Display name | Database name | Learn more about the database's origin |
|---|---|---|
| OpenTargets | cttv | https://www.targetvalidation.org |
| ClinVar | eva-clinvar | http://www.ebi.ac.uk/eva |
| CellularPhenoTypes | sysmicro | http://www.ebi.ac.uk/fg/sym |
| ExpressionAtlas | atlas | http://www.ebi.ac.uk/gxa |
| EBiSC | ebisc | https://cells.ebisc.org |
| UniProt | uniprot | http://www.ebi.ac.uk/uniprot |
| GWAS | gwas | http://www.ebi.ac.uk/gwas |
| CBI | cbi | http://www.ebi.ac.uk/biosamples |
Predict an ontology annotation for the text value "mus musculus" and type "organism"
GET /services/annotate?propertyValue=mus+musculus&propertyType=organism
Predict an ontology annotation for the text value "mus musculus" and type "organism" using annotations that are present in a defined list of datasources
GET /services/annotate?propertyValue=mus+musculus&propertyType=organism&filter=required:[atlas,gwas]
Predict an ontology annotation for the text value "ear inflorescence" using annotations that are present in a defined list of datasources
GET /services/annotate?propertyValue=ear+inflorescence&filter=required:[sysmicro],ontologies:[none]
The 'ontologies:[none]' parameter will restrain Zooma from looking in the OLS if no annotation was found.
Predict an ontology annotation for the text value "lung adenocarcinoma" using annotations that are present in a defined list of datasources, and specify a preference ranking for these datasources.
GET /services/annotate?propertyValue=lung+adenocarcinoma&filter=required:[atlas,gwas],preferred:[gwas]
Here, the 'preferred' parameter allows you to set on order of preferred datasources (going from the datasource you trust the most, to the one you trust less) and this will affect the score.
Predict an ontology annotation for the text value "mus musculus" and type "organism" using annotations that are present in a defined list of ontologies only
GET /services/annotate?propertyValue=mus+musculus&propertyType=organism&filter=required:[none],ontologies:[efo,mirnao]
Resolving Resource URIs
Each resource in Zooma is given a URI as it's unique identifier. The Zooma REST API takes compact URIs ("CURIEs") as it's parameters, so in order to lookup a resource you first need to convert a resource's URI to it's shortname.
Zooma provides an API endpoint to do just this. If we take an example property from our annotation above, with the URI http://rdf.ebi.ac.uk/resource/zooma/461CE7ADFDA7E46E0AAEA17AC66AF143, we can collapse this to it's shortform as follows
Request
POST /services/collapse Content-Type: application/json {"uri":"http://rdf.ebi.ac.uk/resource/zooma/gxa/90E386B39F0AD3DA5CCBD8AAA6F14907"}
Response
Retrieving Resources
You can also use the Zooma API to fetch more information about each of the resource types in Zooma (which you may see in the above example when predicting annotations). The following section describes how to retrieve more information about the key resource types.
Property Types
Retrieve all property types
GET /properties/types?limit=10
Response
Properties
Retrieve a property given it's shortname
GET /properties/zoomaresource:461CE7ADFDA7E46E0AAEA17AC66AF143
Response
Annotations
The first query shown on this page, allows you to annotate your given property with a semantic tag. However, once you've retrieved an annotation prediction, you might be interested in getting more information about the annotation that prompted Zooma to predict your new mapping. You can do this by using the "derivedFrom" relation and retrieving the annotation with the given ID.
In the example above, we saw this:
We can shorten this as described in the section above, and then retrieve this annotation
GET /annotations/gxaresource:90E386B39F0AD3DA5CCBD8AAA6F14907


| Interface | Description |
|---|---|
| TestRunnable |
A test that is run by the Testy framework.
|
| Class | Description |
|---|---|
| Assert |
Various static methods to provide different test assertions.
|
| Testy |
The main entry point for Testy.
|
| Exception | Description |
|---|---|
| TestFailed |
An assertion that is thrown to indicate that a unit test has failed.
|
This package provides a framework for unit testing, inspired by JUnit. This package steers clear of language idioms that are unsuitable for an introductory OO class, like the Java reflaction API. It just provides a way of gathering unit tests together, and a set of convenience functions for comparing data values .
The main entry point for this package is the class
Testy
. An application simply
calls Testy.run()
with some
number of unit tests.
See also https://testy.jovial.com/, and the license.


Transfer of mainframe file to HDFS
Generally, when we need a file from other systems to hadoop, we get the data to edge using FTP/SFTP/CURL etc protocols. But when you are FTPing the data from mainframe system (Ofcourse mainframe ftp port should be opened) you need to extra careful to download the data in binary format. This is required since the mainframe uses EBCDIC encoding. One could argue to convert the file to ASCII while FTPing the data. That would work perfectly fine if the file that you are downloading has no usage of any computational fields. Examples of such are copybooks, code, plain text, etc. Problem arises when the data consists of computational fields, one should convert data to ASCII excluding these fields. This action become complicated as the position of the such fields can only be determined by its layout.
I recommend importing the mainframe data without converting to ASCII, that is in EBCIDIC format. We can achieve this by copying the data in binary format to edgenode using whatever protocol that is common between two systems and then using hdfs dfs -put command to transfer to HDFS. Or use my approach.
Assuming FTP protocol is most common, I have written simple java program to connect to mainframe system using FTP Client API and bring the data directly to the HDFS.
Usage of my program to FTP the file
hadoop jar CobolSerde.jar com/savy3/util/FTPtoHDFS {Mainframe FTP server:port} {userid} {pwd} {Mainframe file name} {hadoop file location}
Now we have the mainframe file in HDFS, but how do we interpet it? See details here
<< 01 Introduction 03 Cobol to Hive Serde >>
Comments
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I lead the Scientific Computing team at Kitware where I enjoy working with many super talented and wonderful individuals. My main interests are high performance computing, data analysis and visualization at scale. I have had the pleasure of being a VTK and ParaView developer since I joined Kitware in 2000.
Before joining Kitware, I was a post-doctoral fellow at the University of Pennsylvania working on optimal control applications in the control of hydrothermal instabilities. Prior to that, I got my Ph.D. at Lehigh University in Mechanical Engineering where I conducted research on subsonic and supersonic flow induced nonlinear vibrations, developing a new procedure for the solution of coupled flow and structural equations.
If you are interested in what you read about in this blog, please check out Kitware's web pages and Kitware's blog. If you are interested in doing some of what I write about, consider applying for a position.


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Vault is an implementation of "Time-Locked Wallets", originally by Radek Ostrofski - modified just to hold ETC.
WARNING: Do not deposit anything other than ETC to your wallet contracts!


{% include "scaffold/incbootstrap.html" %}
Reviewer: {{ reviewer }}
Round: {{ review_round }}
Back to assignments and votes by reviewer


AxisRooms is an award winning hospitality technology solution company, with 6000+ hotel users across the world. We designed, developed the website in 2018 and continue to offer support & hosting.
Complete suite of products for the hospitality industry


Monte Carlo Approximiation
26 Jun 2013 StatisticsThere are a lot of explanations of Monte Carlo approximation out there.
Here is one that worked for me.
A famous mathematician named Stan Ulam liked solitaire.
He wanted to work out the probability of getting a perfect solitaire hand.
Being a mathematician, he also wanted to work this out analytically.
What does analytical mean? It’s a fair question, as it’s wikipedia page shows that there are many definitions
Wikipedia definition:
"Analytic Solution"
- A solution to a problem that can be written in "closed form" in terms of known functions, constants, etc.
I find that such a definition relies on the reader knowing what the words 'closed form', 'known functions' and 'constants' are.
So here's my definition:
"Analytic Solution"
A solution where everything needed to solve a particular question is presented clearly and logically, with all assumptions defined.
So, getting back on track…
When Stan Ulam said that he wanted to find the probability of getting a perfect solitaire hand, he was going to do some really complex probability equations using:
- The information about a deck of cards
- 52 cards
- Number of red cards
- Number of black cards
- Number of different numbers...etc.
- And a pen and paper
- (and maybe a calculator, but this was the 1940s so it is less likely. But then, he was a famous mathematician - it is more likely he would have had access to a computer) to arrive at a 'perfect solution'.
The analytic solution ends up looking really complicated, and is quite complex.
So instead of finding an analytical solution, he wanted to approximate a solution.
Basically you follow these steps,
- Shuffle and deal a hand of solitaire
- Is it a perfect hand?
- If no, add one to the total number of hands dealt, go back to step 1.
- If yes, add one to the number of successful hands AND total number of hands dealt, go back step 1
- Repeat steps 1-4 1000s of times.
- Divide the # successful hands / total # hands.
- You have now arrived at an approximate probability of getting a perfect hand in solitaire.
Crazy as it sounds, this probability gets closer to the ‘true’ probability you would have found, had you worked it out analytically.
The more trial simulations (iterations) you run, the better the answer.
Now imagine that instead of wanting to know the probability of getting a perfect hand, but
- Getting a red card first draw
- The ace of spades first draw
- TWO black cards...
Monte Carlo provides a simpler solution than the analytic method.I shall write another post extending on this one soon.
Let me know if what I wrote makes sense for you!
Reference: - MathematicalMonk’s Youtube Channel


by {{discussion.usermodifiedfullname}} | Updated at {{discussion.timemodified * 1000 | date:'dd-MM-yyyy HH:mm:ss'}}


Directions: Solve each problem and choose the best answer. Remember to simplify if needed! Once you have selected all your answers, click the "Submit Answers" button to retrieve your score. If your score is above a 70, you will receive a certificate of completion! If not, simply retake the quiz.
Navigation
1 - Title2 - Objectives
3 - Examples
4 - How To Do It
5 - Hot Spot Activity
6 - Matching Activity 1
7 - Slideshow Activity
8 - References
--> 9 - Quiz
10 - Certificate
Audio


| dtplite | Lightweight DocTools Markup Processor |
| nns | Name service facility, Commandline Client Application |
| nnsd | Name service facility, Commandline Server Application |
| nnslog | Name service facility, Commandline Logging Client Application |
| page | Parser Generator |
| pt | Parser Tools Application |
| tcldocstrip | Tcl-based Docstrip Processor |


The most basic CSS4 theme switcher.
Dark ↔ Light switching made easy - 🚀 by CSS4 variables & JS.
Light Theme
Dark Theme
Scold
Night
Iron
Night
Iron
Acidic
Coil
Filthy
Coil
Filthy
Soil
Art
Sink
Art
Sink
Desert
Annoy
Wrong
Annoy
Wrong
Helpful
Squash
Freezing
Squash
Freezing
Event
Mean
Petite
Mean
Petite
Sneeze
Caring
Quick
Caring
Quick
Grade
Hushed
Zippy
Hushed
Zippy
Harsh
Coast
Stitch
Coast
Stitch


Renders modified sections only.
Note: Document sections are based on title elements (h1, h2...). Therefore if your document does not contain any title, performance will not be increased.


|
Handheld PC (HPC) vendors will readily admit that their devices are not meant as
full-time notebook replacements. The target user is someone who needs quick access
to personal information managment (PIM) data, reasonable access to e-mail, and the
ability to view and edit small files.
In this rapidly expanding market there are currently some key players. Their products vary in abilities and operating systems. Here are few of the current market leaders: |
|
Casio Cassiopeia E-100
The Cassiopeia offers a dazzling 16-bit color display, a whopping 16MB of RAM, and a stereo headphone jack. But is prone to occasional system hangs and stutters. |
|
|
Compaq iPaq H3650
This shiny, silver speed demon has a great screen and some thoughtful extras that make it much easier to use than other Pocket PCs. Its processor runs at a brisk 206 MHz, about 70 MHz faster than the HP Jornada 545 or the Casio Cassiopeia E-115. The difference is remarkable, especially when you have several applications running. |
|
|
Palm IIIx
the Palm IIIx is practically identical to the older, heftier Palm III. But don't let the familiar looks fool you--the Palm IIIx includes more RAM (for a total of 4MB) and features an internal expansion slot. |
|
|
Sony CLIE
The Palm has undergone yet another face-lift, this time from the masters of high-tech design at Sony. The CLIE, Sony's tiny, new handheld, adds two features not seen on previous Palm organizers: Memory Stick expansion and a jog dial to aid in navigation. These changes aren't a revolution, but they are enough to earn our top recommendation. |
|
|
HP Jornada 545
Loaded with the new Pocket PC operating system, the slick HP Jornada 545 Color is capable of doing just about anything a business desktop computer can do. From Outlook, Word, and Excel to image editing and Web surfing, this handheld does it all. |
|
|
HP Jornada 820
This 2.5-pound system packs the best handheld features--easy portability, long battery life, instant boot-up, and relative affordability--into a design you could easily mistake for a small Windows notebook, even though it's actually bigger than some notebooks. |
|
|
Psion Revo
The Revo, an update of Psion's popular Series 5 device, has a design somewhat reminiscent of the first generation of Windows CE handhelds. It combines notebooklike functionality with pocket-sized portability, but as with those earlier CE devices, the Revo's miniature keyboard can make data input a chore. However, the intuitive interface and smaller size make it a truly useful handheld. |


Profile
View All Patients
Change Password
Logout
Change your Password
UserId
Old Password
New Password
Update


for w in self.workers
])
return self._process_stats(worker_stats)
def update_scheduler(self, metric):
Calls ``scheduler.step(metric)`` on all schedulers.
remote_worker_stats = [
w.validate.remote(**params) for w in self.remote_workers
]
local_worker_stats = self.local_worker.validate(**params)
return self._process_stats([local_worker_stats] +
ray.get(remote_worker_stats))


class: center, middle # Review of Yesterday! ## Data Analysis! --- ## Data Analysis What is Data Analysis?
-- Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making * Why? -- * Identify trends over time * Make predictions and projections * Make informed decisions * Support hypothesis * Facilitate research * Reduce personal bias when evaluating research / decisions. --- ## Data Analysis Lifecycle **7 steps to the data analysis** -- * Discovery / Requirements -- * Collection -- * Data Prep / Cleaning -- * Exploration / Planning -- * Modeling / Algorithms -- * Automation / Computation -- * Findings / Review / Repeat --- ## Discover / Requirements -- This is the planning stage of data analysis. * What data do we need? * Who needs it? * Why is it important? * What are our goals? * What is the business value? --- ## Collection -- This is our data collection phase. * Publicly available data sets * Physical sensors (temperature, traffic cameras, satellites, etc...) * Interviews * etc... --- ## Data Prep / Cleaning This is where we look for and fix any problems with our data set. * missing data points * duplicate records * inaccuracies * quality of data * data format checks * ensure all money formats are the same Ex: dollars and cents as a decimal ($2000.41) vs. cents as an integer (200041) --- ## Exploration / Planning This is where we start to look at the data to begin planning out more detailed analysis. * Look for high level trends in the data * Identify possible algorithms or modeling to build later * Identify missing data * Identify further cleaning / invalid data --- ## Modeling / Algorithms This is where we bring statistics, math and deeper thought into the mix. * Mathematical formulas are identified and built to manipulate the data. * Statistical models are identified and used. --- ## Automation / Computation This is where we create and or use software to run the formulas and models defined in the previous step. * Create functions to run against the data * Generate reports and charts based on the data * Common programming languages used: Python, R --- ## Findings / Review / Repeat This is where the decision makers review the output of the models to inform their decisions.
May result in additional analysis, new data needed,
**Rinse and Repeat** --- ## Yesterday's Exercise: Looked at Mr. Steve who wants to open a beach town. What did we find? --
Piles of scv data!
--- ## What did we do? * Processed the data in PHP * rendered it into an HTML table * started plugging it into D3 for graphs. --- ## Visualizations: * We saw a simple visualization yesterday. (Table rendering).
### More advanced rendering is possible. * d3.js ### What is D3? * Data Driven Documents * Creates and manipulates html elements based on data via javascript * Styled via CSS * Can manipulate HTML and SVGs --- ## Bar Charts: * This tutorial was created by the creator of D3. * Go through each of the three sections, then incorporate our temperature data from yesterday into the graph. * Exercise: https://bost.ocks.org/mike/bar/ --- ## Lab: Flow through the Data Analysis Lifecycle on this data set: https://www.census.gov/data/datasets/2017/demo/popest/counties-detail.html Census data by County (for a given state). * Flow through the 7 steps of the Data Analysis Lifecycle * Documenting what you create for each step in a README file for the repository. * Download the data set for a given state * Create interesting visualizations based on the data. * Create a new repository on your GitHub account and sene me the link to your data processing and visualization code.


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--- layout: page title: Books description: "I write stuff." header-img: "img/books-bg.jpg" ---
Hazardous Magic
Grounders bring trouble. Constable Arax of the Tree People has enough trouble already, but when grounder troops show up at the edge of the forest looking for a lost cache of deadly war magic, the real trouble is just beginning.
In a world scarred by old magic and unlimited ambition, some questions are too dangerous to ask. If Arax is to protect his home and the people who live there, he may have to ask the most dangerous question of all.
RFID Essentials
A technical non-fiction book on Radio Frequency Identification (RFID) with Himanshu Bhatt, O'Reilly Media, 2006.
"The Information Age is over. We're entering an era where network connectivity is almost ubiquitous - it's participate or perish." --Jonathan Schwartz, President and COO, Sun Microsystems, Inc. "Unique competitive advantage erupts from enterprises that couple the RFID technologies laid out in RFID Essentials with modern business integration using service-oriented architectures. This is the book to read in order to understand this new landscape."
-- Mark Bauhaus, Senior Vice President, Sun Microsystems, Inc.
"This is a must read for RFID Software and Solution architects and is highly recommended for anyone needing to gain more insight into the myriad of components, standards and technologies that make up an RFID solutions environment."
-- Bryan Tracey, Chief Architect, GlobeRanger Corporation
"The authors have done a commendable job of covering a lot of ground in the RFID space, including the infrastructure needed to share the volumes of data RFID will likely generate."
-- Graham Gillen, Senior Product Manager, VeriSignRadio Frequency Identification (RFID)


Please allow scripts it will make everything funchtion better on our site
☰
Project Map | HD
Open Source Projects
Project Map
This is a project map of all our projects.
Cookie Clicker like game
A very simple JavaScript Game, fyi REALLY RESOUCE INTENSIVE.
Python Email Client
Python Email Client for large email list, proboly not efficent.
Flappy Bird
Flappy Bird game that only works in the python version
The Kerbal Kontroller
A external controller for kerbal space program
A external controller for kerbal space program
A python GUI PID example
Another processing game for a school project


{include file="public/css" /} {include file="public/js" /}
{include file="public/header1" /} {include file="public/header2" /}
{include file="public/menu_r" /}
{include file="public/que_menu" /}
{include file="index/art_left" /}
常见问题
{volist name="list" id="v" mod="2"}{eq name="mod" value="0"}
{$v.title}
{/eq}{/volist}
{volist name="list" id="v" mod="2"}{eq name="mod" value="1"}
{$v.title}
{/eq}{/volist}
{include file="public/footer1" /} {include file="public/footer2" /} {include file="public/js_1" /}


Here is the list of all the n-grams we extracted from the corpus.
All the relevant Ngrams we found in the corpus.
Analyzing the corpus by category using the TF it can be observed that the most frequent n-grams are related to the pain, the risks and the consequences of the CS (i.e. risk, incision, problem, complication, infection, pain, emergency).
Another relevant group of n-grams is related to the facts and figures of CS (i.e. percent, time, study, reason, case, rate, number) as well as the group of n-grams related to the healthcare provides (i.e. doctor, hospital delivery, procedure). These three groups have a similar relative frequency in the three categories (medical, contentious, experience).
Ngrams related to "facts and figures"
Ngrams related to "delivery"
Explore the visualization


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/is_ring_hom.20instead.20of.20cast_mul.html ---
What's the reason not to mark coe
as a ring_hom instead of using int.cast_mul
and stuff like that?
Well, for one thing ring_hom
didn't exist when cast
was written
but ring_hom.mul
is not applicable as a simp lemma for reasons that have been discussed before, so we would still want int.cast_mul
in any case
But it's reasonable to prove that coe
is a ring_hom given the existing theorems
Last updated: Apr 24 2020 at 19:02 UTC


Minimum time, in ms, for the playback to take. Will almost certainly
actually take at least a bit longer; after each frame, the next one
displays in duration/steps
ms, so each frame really takes frame
processing time PLUS step time.
Default: 10000
Allow playback to be controlled using the spacebar (play/pause) and right/left arrow keys (next/previous).
Default: false
Show playback controls (i.e. prev/play/pause/next).
Default: true
The end time of the timeline. If unset, this will be calculated automatically based on the timelines registered to this control.
Show ticks on the timeline (if the browser supports it)
See here for support: https://developer.mozilla.org/en-US/docs/Web/HTML/Element/input/range#Browser_compatibility
Default: true
The start time of the timeline. If unset, this will be calculated automatically based on the timelines registered to this control.
How many steps to break the timeline into. Each step will then be
(end-start) / steps
. Only affects playback.
Default: 1000
Wait until the user is finished changing the date to update the map. By default, both the map and the date update for every change. With complex data, this can slow things down, so set this to true to only update the displayed date.
A function which takes the current time value (a Unix timestamp) and outputs a string that is displayed beneath the control buttons.
Generated using TypeDoc
Start playback of the timeline as soon as the page is loaded.
Default: false


- selectInsurance() - Method in class healthABM.Patient
-
Patient selects the HIPlan with the least cost (only when Patient satisfies plan requirements
and has enough money to pay for it)
- selectProvider(Illness) - Method in class healthABM.Patient
-
In this method, patient select an specialist checking who will cost him the least (considering the cost of a visit and the current
HI status of patient)
- selectTreatment(Illness, boolean) - Method in class healthABM.Provider
-
- SES - Variable in class healthABM.Patient
-
Socioeconomic status as a boolean value (false:low ; true:high)
- setInsurance(HealthInsurance) - Method in class healthABM.Patient
-
Adds the
HealthInsurance
in the argument to the list of insurances of the company.
- severity - Variable in class healthABM.MedicalCondition
-
Amount by which this medical condition is affecting the patient's health status
- socialNetwork - Variable in class healthABM.Patient
-
Array list with all the other individuals in the social network
- space - Variable in class healthABM.Provider
-
- specialization - Variable in class healthABM.Provider
-
Indicates the type of illness for which the Provider has an specialization (null for general practitioners)
- startContract - Variable in class healthABM.HealthInsurance
-
Tick when this contract was first introduced (might be useful to compute the number of years
- stepContractInsurance() - Method in class healthABM.Patient
-
- stepGetMedicalCare() - Method in class healthABM.Patient
-
- stepGetSick() - Method in class healthABM.Patient
-
This method determines if this Patient contracts any of the existing Illnesses in the model
for every tick.
- stepModel() - Method in class healthABM.Model
-
This method prints the current tick in the model and resets (to 0) the incidence rates for the current tick
- stepPatient() - Method in class healthABM.Patient
-
- stepProvider() - Method in class healthABM.Provider
-
- stopclaim - Variable in class healthABM.HIPlan
-
Amount of reimbursement after which the client is no longer entitled to receive reimbursement.
- stoploss - Variable in class healthABM.HIPlan
-
Amount after which the patient has no more co-payment.


--- layout: post title: Just Fine date: '2009-08-30T12:00:00-04:00' tags: - '2009' - long tumblr_url: http://poetry.liabogoev.com/post/49078967809/just-fine ---
Exceptional, amazing.
So incredibly original.
But how can one expect less
of a masterpiece?
I think of you,
your charming, disarming, smile.
I think of you,
how your eyes shine when I laugh,
I think of you.
how you hold me, soft and gentle, so secure.
No words describe
the skip of my heart
when I see you
Like a stone over water,
Like a child skipping rope.
No, that can’t be right.
It’s more like my heart
tripped over its feet
flew to my stomach,
then jumped out of my chest,
making an orbit,
before returning,
meekly and weakly,
back to its haven in my ribs.
Still thumping erratically.
Somehow, when I think of you,
my heart just feels just fine.
A little hyper, beating fast.
Bul still just feels just fine.
Somehow, when i see you,
My heart just feels freaked out,
and stutters and stumbles and flails.
flopping around
A fish out of water.
You’d make a terrible cardiologist.
But you hug me just fine.
Somehow, when it’s just me,
my poems just feel just fine.
They roll with rhythm and with beats,
I just write and feel just fine.
Somehow, when it’s you and me,
my poems freak out and say,
there’s no way we could fit this things.
it’s got its own amazing way.

Despite everything you do to me,
Everything that’s strange and new,
The best thing that you do
is make me feel just fine.
Sometimes I feel like crying
but you’re always there to help
A smile, a laugh, a poke in the side,
and everything’s just fine.
Even thought I feel just fine,
It’s really more than that.

So more than just just fine,
I just feel like flying
like falling
like laughing
and smiling
like running
and jumping
and flipping
like screaming
and yelling
or doing whatever I feel.
That’s the beauty of just fine.
Somehow, when I’m with you,
I just feel just fine.
The beauty is,
with just fine,
you get just what is me.
these labels were added later, however, the break in stanzas existed previously. ↩


` elements have no `width` or `height` and are positioned at the center and at the end (`100%`), both `
` elements have increased `width` and `height`, but their `position` is reset to `0`.
- Use `opacity` to transition from `1` to `0` when animating to give the `
` elements a disappearing effect as they expand.
- Set a predefined `width` and `height` for the parent container, `.ripple-loader` and use `position: relative` to position its children.
- Use `animation-delay` on the second `
` element, so that each element starts its animation at a different time.


Skills Overview
Basically , so far i have mastered the 3 core technologies for making websites, namely:
- HTML
- CSS
- javaScript
skill1
skill2
skill3


content 001
invalid: does not resolve to a Top-level Content Doc
Start Reading
invalid: does not resolve to a Top-level Content Doc
page 1
invalid: does not resolve to a Top-level Content Doc
My List
links to remote resources are ok in other navs


FtpSync Sample
This sample shows how to use the FtpClient class to gain access to an ftp
site and download files from there.
The
FtpSync application compares files on the local computer against those on the ftp folder and downloads files that are new or have changed.
FtpSync is a console application with following uasge:
FtpSync localdir user:pass@server/remotedir [-local] [-remote] [-nodelete] [-passive] [-l] [-r]
where:
localdir : local directory - long file names with spaces should be quoted user/pass : ftp username & password server : ftp server (i.e., ftp.whatever.com) remotedir : directory on the remote server -nodelete : forbid to delete missing files -passive : turn on 'Passive' mode -r : recursive synchronization (through subdirectories) -l : log - show FTP commands -local : Local mode of sync (Master = ftp; slave = localhost). By default -remote : Remote mode of sync (Master = localhost; slave = ftp)


@InterfaceAudience.Public
@InterfaceStability.Evolving
public interface PositionedReadable
Seekable.getPos()
visible.| Modifier and Type | Method and Description |
|---|---|
default int |
maxReadSizeForVectorReads()
What is the largest size that we should group ranges together as?
|
default int |
minSeekForVectorReads()
What is the smallest reasonable seek?
|
int |
read(long position,
byte[] buffer,
int offset,
int length)
Read up to the specified number of bytes, from a given
position within a file, and return the number of bytes read.
|
void |
readFully(long position,
byte[] buffer)
Read number of bytes equal to the length of the buffer, from a given
position within a file.
|
void |
readFully(long position,
byte[] buffer,
int offset,
int length)
Read the specified number of bytes, from a given
position within a file.
|
default void |
readVectored(List<? extends org.apache.hadoop.fs.FileRange> ranges,
IntFunction<ByteBuffer> allocate)
Read fully a list of file ranges asynchronously from this file.
|
int read(long position, byte[] buffer, int offset, int length) throws IOException
position
- position within filebuffer
- destination bufferoffset
- offset in the bufferlength
- number of bytes to readIOException
- IO problems.void readFully(long position, byte[] buffer, int offset, int length) throws IOException
position
- position within filebuffer
- destination bufferoffset
- offset in the bufferlength
- number of bytes to readIOException
- IO problems.EOFException
- the end of the data was reached before
the read operation completedvoid readFully(long position, byte[] buffer) throws IOException
position
- position within filebuffer
- destination bufferIOException
- IO problems.EOFException
- the end of the data was reached before
the read operation completeddefault int minSeekForVectorReads()
default int maxReadSizeForVectorReads()
default void readVectored(List<? extends org.apache.hadoop.fs.FileRange> ranges, IntFunction<ByteBuffer> allocate) throws IOException
The position returned by getPos() after readVectored() is undefined.
If a file is changed while the readVectored() operation is in progress, the output is undefined. Some ranges may have old data, some may have new and some may have both.
While a readVectored() operation is in progress, normal read api calls may block.
ranges
- the byte ranges to readallocate
- the function to allocate ByteBufferIOException
- any IOE.Copyright © 2023 Apache Software Foundation. All rights reserved.


| Test |
Duration |
Result |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[0: com.recruitment.coffee.machine.cli.impl.InputArguments@2d879f00, You have ordered a coffee with 1 sugars (stick included)] |
0.518s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[10: com.recruitment.coffee.machine.cli.impl.InputArguments@227b34ad, You have ordered a chocolate with 0 sugar] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[11: com.recruitment.coffee.machine.cli.impl.InputArguments@e539ea6, The chocolate costs 0.6.] |
0s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[12: com.recruitment.coffee.machine.cli.impl.InputArguments@50b06498, The drink type should be tea, coffee or chocolate.] |
0s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[1: com.recruitment.coffee.machine.cli.impl.InputArguments@34de93ed, You have ordered a coffee extra hot with 1 sugars (stick included)] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[2: com.recruitment.coffee.machine.cli.impl.InputArguments@4b887640, You have ordered a coffee with 0 sugar] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[3: com.recruitment.coffee.machine.cli.impl.InputArguments@2d11a7e7, The coffee costs 0.5.] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[4: com.recruitment.coffee.machine.cli.impl.InputArguments@7eea03ed, You have ordered a tea with 1 sugars (stick included)] |
0.002s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[5: com.recruitment.coffee.machine.cli.impl.InputArguments@3eeba626, You have ordered a tea extra hot with 1 sugars (stick included)] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[6: com.recruitment.coffee.machine.cli.impl.InputArguments@36d9fdcd, You have ordered a tea with 0 sugar] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[7: com.recruitment.coffee.machine.cli.impl.InputArguments@16575a6e, The tea costs 0.4.] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[8: com.recruitment.coffee.machine.cli.impl.InputArguments@380cc622, You have ordered a chocolate with 1 sugars (stick included)] |
0.001s |
passed |
| testCoffeeMachineReturnsExpectedOutputForCoffeeCombinations[9: com.recruitment.coffee.machine.cli.impl.InputArguments@5b359d93, You have ordered a chocolate extra hot with 1 sugars (stick included)] |
0.001s |
passed |


This is Horner Coding Club's website on GitHub Pages. The "official" site is on Google Sites
Who Are We
We are a group of young and determined programmers, creating games with a variety of technologies and tools.
We are a group of young and determined programmers, creating games with a variety of technologies and tools.


Is this real life? Given the growth in maturity of Virtual Reality (VR) technology, this talk aims to give a conceptual overview of emerging human-virtual interactions, and insights into a new world of research and problem solving. It is also and an introduction to the various technical options for developing VR software and interactions with JavaScript.
Speaker Bio:
Rishal is currently fulfilling the role of a Team/Technical Lead at Entelect. He is a software engineer designing and building solutions for various national and international blue chip clients. He has a passion for web architecture, mobile development, artificial intelligence, and design thinking methodologies. Rishal founded Prolific Idea in 2015 where innovation is cultivated through research and technology.


Represents the custom Scene used for the demo.
More...
#include <MyScene.hpp>
Represents the custom Scene used for the demo.
◆ MyScene()
| bullet_3da::MyScene::MyScene |
( |
| ) |
|
Builds the demos scene with all its components.
◆ processInput()
Performs the behaviour of all objects in the scene.
- Parameters
-
| input_data | contains the input data from this frame. |
Reimplemented from bullet_3da::Scene.
◆ update()
| void bullet_3da::MyScene::update |
( |
float |
deltaTime | ) |
|
|
overridevirtual |
update is called on every frame.
Now it's used to check for collissions between objects
- Parameters
-
| deltaTime | Time since the previous frame. |
Reimplemented from bullet_3da::Scene.
◆ camera
| shared_ptr< Camera > bullet_3da::MyScene::camera |
|
private |
Used to keep track of the point of view.
◆ controls
Used to keep track of the previous input.
◆ door
| shared_ptr< Door > bullet_3da::MyScene::door |
|
private |
The Door used in the scene.
◆ door_opened
| bool bullet_3da::MyScene::door_opened |
|
private |
Set to true when the Door is open.
◆ tank
| unique_ptr< Tank > bullet_3da::MyScene::tank |
|
private |
The Tank used in the scene.
◆ time_fire
| std::clock_t bullet_3da::MyScene::time_fire |
|
private |
Used to keep track of the tank's fire cooldown.
The documentation for this class was generated from the following files:


{{< layout}} {{$pageTitle}}Track a passport application{{/pageTitle}} {{$header}}
You'll need your application reference.
You'll find this in your confirmation email and any other email or text updates from HM Passport Office. Your reference begins with 'PEX'.
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java.lang.Object | +--org.joonegap.NeuralNetManager | +--org.joonegap.samples.noughtsandcrosses.NoughtsAndCrossesNeuralNetManager
A neural network manager for playing noughts and crosses.
Based on the description by David B. Fogel in his book Blondie24 (Morgan Kaufmann Publishers).
| Constructor Summary | |
NoughtsAndCrossesNeuralNetManager()
|
| Method Summary | |
protected NeuralNet |
createUninitializedNeuralNetwork()
Create an uninitialized neural network of the structure you desire. |
protected java.lang.Object |
getMeaningOfOutputNodeAt(int p_iIndex)
Output nodes are numbered such that: |
| Methods inherited from class org.joonegap.NeuralNetManager |
cycle, gameOver, getCustomConfiguration, getGenerations, getName, hold, release, setLogger |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public NoughtsAndCrossesNeuralNetManager()
| Method Detail |
protected NeuralNet createUninitializedNeuralNetwork()
NeuralNetManager
Clients should not set the network's inputs or outputs, or any monitors, and should not train the network in any way.
createUninitializedNeuralNetwork
in class NeuralNetManager
protected java.lang.Object getMeaningOfOutputNodeAt(int p_iIndex)
0..2 = first row
3..5 = second row
6..8 = third row
getMeaningOfOutputNodeAt
in class NeuralNetManager
p_iIndex
- the index of the output node
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--- layout: page title: Clipjump tagline: v11 desc: Clipjump, The Utlimate Clipboard Manager for Windows ghlink: https://github.com/aviaryan/Clipjump ---


RemoveMailRecipient()
Syntax
RemoveMailRecipient(#Mail [, Address$ [, Flags])Description
Remove a recipient from the specified mail.
Parameters
The mail to use. Address$ (optional) The address to remove. It must match an address from a call to AddMailRecipient(). If not specified, all the recipients are removed from the mail. Flags (optional) The categories from which to remove the recipient. It can be a combination of the following values: #PB_Mail_To : Main(s) recipient(s) of the mail #PB_Mail_Cc : Recipient(s) which are in copy of the mail (and everybody see it) #PB_Mail_Bcc: Recipient(s) which are in copy of the mail (but nobody see it)If not specified, all the categories are removed for the specified address.
Return value
None.
Example
InitNetwork() If CreateMail(0<EMAIL_ADDRESS>"Hello") AddMailRecipient(0<EMAIL_ADDRESS>#PB_Mail_To) ; Andre is the main recipient AddMailRecipient(0<EMAIL_ADDRESS>#PB_Mail_Cc) ; Fred is in copy AddMailRecipient(0<EMAIL_ADDRESS>#PB_Mail_Bcc) ; Timo is in copy as well, but Andre and Fred are not aware of it ; Ensure Fred is removed from every destination :-) RemoveMailRecipient(0<EMAIL_ADDRESS>EndIf
See Also
AddMailRecipient()
Supported OS
All