Inline Double Jogging Stroller Review
Before I verbally make love to my running stroller, I need to announce the winner of my Hydracoach Interactive Water bottle Giveaway. Congrats to…
Amy Adelsberger!
Email me your address and I’ll get the bottle to you pronto! Enjoy and congrats!
***
Now onto why I’m dedicating a whole post to something that has made my runs so much harder, but rewarding.
When I started researching strollers while pregnant with Caleb, I went a little nuts. For some reason, I became obssessed with all things strollers. I was fascinated by all of the different styles, brands, types, and impressed with all of the engineering that goes behind creating the almost perfect stroller. I even created a whole spreadsheet of pros and cons for dozens of the most popular strollers on the market, that’s how crazy I was about ensuring we got the most bang for our buck. Because let’s face it, strollers ain’t cheap.
So when it came to finding the perfect jogging stroller, I had high hopes for the popular Bob Revolution stroller that every momma and their momma talks about. We even drove all the way to a fancy stroller boutique in Raleigh to test it out. And while we loved how smooth the stroller ran, we had major sticker shock and couldn’t justify the price of paying over $400 for a stroller that we’d most likely only use for 30-45 minutes a few times a week. I know some moms are totally cool with investing that much into their runs, but I am not. I didn’t see myself using the stroller to train for something crazy like an ironman, since I tend to only run 3-5 miles a few times a week. You all know how much I prefer the gym or CrossFit instead 😉
And then I discovered the Joovy Zoom 360.
Inline Double Jogging Stroller Review
It was LOVE at first sight. I was first attracted to it’s huge 16″ bicycle tire wheels, I loved how different it looked from the plastic wheels on other strollers, and I loved how modern it made the whole bike appear. And when we test drove the stroller, it was SO incredibly smooth to push. It steered so effortlessly and moved like butter!
And then I released the canopy and discovered how humongous it was. This was a huge selling point for me because I wanted to make sure my baby’s smooth as a bottom skin stayed perfectly shaded. My mom instilled in me from a young age the importance of sunscreen and shading your face from the sun so it’s something I’ve always worried about for my future kids. I also understood how important a large and shady canopy would allow the baby to nap a little easier while in the stroller.
I was expecting Caleb in the fall but remembered how hot the summers in the Carolinas get so I wanted a stroller that I run at night with but still feel safe. The reflective stitching on the five point harness straps, the reflective tape on the hood and canopy, and the reflective lights on both of the tires definitely nipped that worry in the bud! The stroller comes in a bright red, black, and bright blue so of course I went with the bright blue because I figured if I was running at night, the stroller would be easier to see. Plus it’s my favorite color, haha.
Another perk of the stroller is how tall the seat-back is. It’s made to accommodate taller toddlers which the Bob’s actually don’t. My husband is 6’2 and I’m 5’8 so I was pretty sure we were going to have a fairly tall baby. Lo and behold, our big guy is now 33″ tall and his head doesn’t even come near the top of the canopy. Along the same lines, the stroller works with taller folks because the handle bars aren’t set so low to the ground. My husband has no problems pushing the stroller with his gorilla arms 😉
I will admit that it’s a bigger stroller and I was worried about fitting the stroller into our truck in case we wanted to haul the Joovy to one of our favorite trails. Fortunately, the stroller boasts quick-release wheels that are super easy to take off and put back on. So when the wheels are removed, the stroller actually folds really flat and has a locking mechanism to stay locked and folded (loaded? haha). And for us busy moms who hate fumbling with the incessant amount of baby gear having a baby requires, the stroller folds in half with just the pull of a string. Hear that? It’s a quick, one handed fold!
SOLD!
Finally, the last thing that did me in was how it already came with a neoprene parent organizer, a tire pump, AND a high quality rain cover. It’s a great deal considering all the accessories are included and with how you’re forced to purchase these items separately with other more expensive strollers. This stroller only cost us $220 dollars with free shipping and I honestly believe that you can’t beat the price for the quality. It costs half as much as other brand strollers, but runs the same (if not even better) then the big name joggers.  And I can guarantee that it’s a head turner – I’ve gotten tons of questions about this stroller every time I’ve taken it out.
If you’re an expecting momma, I highly recommend getting the Zoom if you’re looking for a luxury all terrain stroller that doesn’t cost a whole body part or three. Here are some specs if you’re interested:
- Stroller weight: 26.8 pounds
- Car Seat Adaptable
- Weight capacity: 75 pounds (!!)
- Recommended age: 6 months and older
- Wide seat with five point harness
- Reflective stitching and fabric on sunshade and harness strap
- Adjustable reclining seat position
- Front wheel swivels 360 degrees and locks inline for jogging
- Shock absorbing system
- Oversized sunshade and peek-a-boo window
- Made with aircraft grade aluminum
And here’s a video! Don’t ask me why I decided to make a video after I just finished running. I guess I was thinking about parting ways with it in search of a double running stroller so this was how I was inspired to bid adieu to it at the last minute.
And after watching this video, I’m realizing how sad I am to say goodbye to this stroller.
This stroller got me through rough mornings when I needed a break from being trapped indoors and when I needed to feel the sun on my face but still be with Caleb. It calmed him down even when he had his worst crying fits from reflux, and helped him nap on days where he fought so hard not to sleep. When my husband was deployed and I couldn’t make it to the gym or to yoga, it was my only way to move and be outdoors at the same time. This stroller got me through some rough times and as we near the end of our journey here at Fort Bragg, I’m realizing just how much I’m going to miss the quiet moments I’ve had pushing this stroller with Caleb. I never thought I’d like stroller running but 15 months later, I’ve actually come to love it.
But alas, we’re moving on to this next chapter of our lives with a move to Europe where space is limited and with another precious baby on the way. It’s time to say goodbye and sell this stroller (haha any local takers!?) and search for something that we’ll make new memories with. If only the Zoom could turn into a double, I would totally keep it but since it doesn’t, here are the two strollers I’ve narrowed our search down to:
**The Phil and Teds Explorer
**Mountain Buggy Plus One
** stroller
Here’s why: I definitely want a double INLINE stroller instead of a double wide stroller because of how much we plan to travel in Europe, and I want to get our money’s worth with a stroller that can adapt to a newborn and toddler and then grow with both kids. I also want a functional running stroller that is high quality, safe, and easy to use but I’m really having a hard time deciding between the two. And the clock is ticking!
So anyone have any experiences with either one? I’ve tried the Phil and Teds (and even ran with it with a friend’s two kids while I was pregnant with Caleb) but still would like some thoughts on the Mountain Buggy before I make my decision. Help!
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One, to many
“You know I never finished university.
These are the few words I remember from a chance encounter with the critically-minded Cory Doctorow last year while attending a discussion on media at UofT. I don’t remember the actual discussion too much but those words seem to have stuck in my head. It’s been over a year since the event but as the humour in fate would have it, I have decided to take a year off. Not as Cory suggested, leave, but take a year off.
Why
Let’s pause for a second to mention my honest excitement towards academia. This statement isn’t a play to my brave parents or the faculty I’ve had the chance to work with. I honestly believe there’s huge value placed in the research and findings done at the academic level. In fact the small outside of school research project I co-founded, Open Journalism, hinted to me the power of understanding complex problems that meet at the intersection of social, and technological change. We need these places of discussion and research, greatly.
With that said, I’m really excited to working with the Educreations team in Palo Alto, California for the next 9 months. I will miss Canada.
It’s likely not a coincidence that I chose to work with a team of people that care deeply about democratizing the tools to teach.
Imagine for a second if Newton, Feynman, or Einstein had the ability to share their knowledge to anyone with a computer. It’s with that hope, knowing that the next Newtons are being born and giving them the right tools to share what they know. That excites me.
The Educreations iPad app and website take a step forward from the giant whose shoulders many of us stand on, Sal Khan, to give anyone who wants to teach the tools to do so.
It’s apparent that as our ability to reach everyone around the world increases, it’s important to build things that allow distribution of knowledge in really easy to use ways. Tim O’Reilly has done a really good job with this idea in his creation of O’Reilly publishing, with the ethos that it was important to build things that allowed the sharing of information from one to many.
Tool Maker
I’ll be spending the next 10 months better understanding how to make tools that are joy to use. That means a focus on building a tool that both understands and experiments with the future of technology and the classroom.
If you know me well, you know that I spend most nights working on small code/design projects. I’m excited to see what my full focus and working closely with some brilliant engineers can do to help build a really important technology.
We have big expectations to fill if the next Newton is just being born and grabbing for that iPad, after all.
If dots are minds, and minds are full of knowledge, surely connecting the dots will make humankind a bit more humble, and a lot more educated.
I can’t take all the credit for making working in education cool again. Apparently GZA was on board before me.


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| r_vanilla {callr} | R Documentation |
It tries to mimic a fresh R installation. In particular:
No library path setting.
No CRAN(-like) repository is set.
The system and user profiles are not run.
r_vanilla( func, args = list(), libpath = character(), repos = c(CRAN = "@CRAN@"), cmdargs = "--slave", system_profile = FALSE, user_profile = "project", env = character(), ... )
func |
Function object to call in the new R process.
The function should be self-contained and only refer to
other functions and use variables explicitly from other packages
using the r(.libPaths) does not work, because r(function() .libPaths()) works just fine. |
args |
Arguments to pass to the function. Must be a list. |
libpath |
The library path. |
repos |
The |
cmdargs |
Command line arguments to pass to the R process.
Note that |
system_profile |
Whether to use the system profile file. |
user_profile |
Whether to use the user's profile file.
If this is |
env |
Environment variables to set for the child process. |
... |
Additional arguments are passed to |
callr
makes a copy of the user's .Renviron
file and potentially of
the local or user .Rprofile
, in the session temporary
directory. Avoid storing sensitive information such as passwords, in
your environment file or your profile, otherwise this information will
get scattered in various files, at least temporarily, until the
subprocess finishes. You can use the keyring package to avoid passwords
in plain files.
Other callr functions:
r_copycat()
,
r()


{% extends "base.html" %} {% block extrahead %} {% endblock %} {% block content %}
All cabins have been meticulously maintained over the years and offer the comfort and capacity to host small family vacations or entire family reunions. The cabins are nestled under mature pine and maple trees providing ample shade for those warm summer days. The vast majority of our beds have been upgraded from double to new queen beds this year. We offer a snack bar (Ollies Snack Shack) where you can buy a variety of items from ice cream to firewood. All larger cabins have their own bathroom and shower facilities, however, there is also a common bathhouse for the cabins without these facilities. All cabins are within one hundred yards of the beach and include a small deck and fire-pit for campfires.
Please note: Our minimum rental period in non-prime season is two days. Our minimum rental period in prime season is 7 days. Depending on size, facilities and the season, weekly cabin prices range from $360 - $1600 per week. BBQ rental and water cooler refills also available.
Newly renovated four bedrooms with large bathroom, large open concept kitchen/entertaining room and deck directly overlooking the beach.
Newly renovated, roomy two bedroom, with bathroom, kitchen, sitting area and a deck overlooking the beach.
Three bedroom, with large kitchen and living room area, bathroom and a large private deck overlooking the lake. This cabin has the perfect view of the sunset.
Three bedroom, with large kitchen and living room area, bathroom and a large deck overlooking the park.
Newly renovated two bedroom with bathroom, kitchen and large deck over looking the beach.
Two bedroom, with large kitchen, bathroom, outdoor shower and a large deck nestled under huge pine trees.
Our glampers are 1 room cabins furnished with a queen sized bed, dresser and small table with chairs and a deck with a great view of the park. This is the most glamorous tent you will ever stay in!


FlowGallery.js
jQuery image gallery
Select Demo:
Default Settings
Equal Image Sizes (no scaling)
Multiple galleries on same page
Controlling gallery through script
Showing multiple row in gallery
Drawing thumbnails in arc
Demo
HTML
Javascript
HTML markup...
Javascript code...


|
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See:
Description
| Interface Summary | |
|---|---|
| MqttCallback | Asynchronous message listener. |
| MqttClientPersistence | Represents a persistent data store, used to store outbound and inbound messages, in order to achieve reliable messaging. |
| MqttDeliveryToken | Provides a mechanism for tracking the delivery of messages. |
| MqttPersistable | Represents an object used to pass data to be persisted across the
MqttClientPersistence
interface. |
| Class Summary | |
|---|---|
| MqttClient | Lightweight client for talking to a server via the MQTT version 3 protocol. |
| MqttConnectOptions | Stores options used when connecting to a server. |
| MqttDefaultFilePersistence | An implementation of the MqttClientPersistence interface that provides
file based persistence. |
| MqttMessage | An MQTT message. |
| MqttTopic | Represents a topic destination, used for publish/subscribe messaging. |
| Exception Summary | |
|---|---|
| MqttException | Thrown if an error occurs communicating with the server. |
| MqttPersistenceException | This exception should be thrown by the implementor of the persistence interface if there is a problem reading or writing persistent data. |
| MqttSecurityException | Thrown when a client is not authorized to perform an operation, or if there is a problem with the security configuration. |
Contains an API for connecting to a server which implements the MQTT V3 protocol.
The MQ Telemetry Transport (MQTT) is a lightweight publish/subscribe protocol flowing over TCP/IP for remote sensors and control devices through low bandwidth communications. MQTT is used by specialized applications on small footprint devices that require a low bandwidth communication, typically for remote data acquisition and process control.
A typical system might comprise several hundred client devices communicating with a single server or "broker", where each client is identified by a unique ID.
The basic means of operating the client is as follows:
MqttClient
, providing
the address of the server and a unique client identifier.Connect
to the servermessages
to the server,
via topics
.subscriptions
,
combined with a callback
.
Disconnect
from the server.In the following code snippet, a simple message is published to the server, using defaults wherever possible.
MqttClient client = new MqttClient("tcp://localhost:1883", "SampleClient");
client.connect();
MqttMessage message = new MqttMessage("Hello world");
message.setQos(0);
client.getTopic("foo/bar").publish(message);
client.disconnect();
This is the fastest way of publishing messages, but is also the least reliable. There is no assurance that the message will actually be delivered, and no exception will be thrown if the server refuses the message, or if the network connection fails.
In the following code snippet, a message is published to the server
at QoS 2, which is the most reliable delivery mechanism.
In order to achieve this, the message needs to be persisted by the client.
A default implementation of persistence is provided by MqttDefaultFilePersistence
.
This will be used by the client unless an alternative is supplied.
Publishing reliably is more complex, and most of the code is used to handle error conditions. The key thing to notice is the two-stage delivery: the first stage gives the message to the client. After this, the client is responsible for delivering the message to the server. The second stage is about determining success or failure.
MqttClient client = null;
try {
// Create a client to communicate with a broker at the specified address
client = new MqttClient("tcp://localhost:1883", "SampleClient");
// Connect to the broker
client.connect();
} catch (MqttException ex) {
System.err.println("Could not connect");
}
if ((client != null) && client.isConnected()) {
MqttTopic topic = client.getTopic("foo/bar");
MqttDeliveryToken token = null;
// Create message and set quality of service to deliver the message once
MqttMessage message = new MqttMessage("Hello world");
message.setQos(2);
try {
// Give the message to the client for publishing. For QoS 2,
// this will involve multiple network calls, which will happen
// asynchronously after this method has returned.
token = topic.publish(message);
}
catch (MqttException ex) {
// Client has not accepted the message due to a failure
// Depending on the exception's reason code, we could always retry
System.err.println("Failed to send message");
}
if (token != null) {
boolean keepTrying = true;
do {
try {
// Wait for the message delivery to complete
token.waitForCompletion();
System.out.println("Message delivery complete");
}
catch (MqttException deliveryException) {
int reasonCode = deliveryException.getReasonCode();
// TODO: Retry the message, or decide to stop trying
System.err.println("Message delivery failed");
if (client.isConnected() == false) {
try {
// Re-connect to the server
client.connect();
}
catch (MqttException connectException) {
// Can't reconnect, so give up. If and when the
// client does reconnect, the message delivery
// will automatically continue
keepTrying = false;
}
}
}
} while (!token.isComplete() && keepTrying);
}
}
In the following code snippet, a message is published to the server
at QoS 2, which is the most reliable delivery mechanism.
The application uses a callback
to be notified of
delivery success or failure. Since callbacks are asynchronous, on a different
thread to the publisher, this approach means that message ordering can be
compromised. This can happen if a message delivery fails, and is retried from
within the MqttCallback#deliveryFailed(MqttDeliveryToken, MqttException)
method -
messages can continue to be published, even though the failure has occurred.
A default implementation of persistence is provided by MqttDefaultFilePersistence
.
This will be used by the client unless an alternative is supplied.
public class SampleClient implements MqttCallback {
public void run() {
MqttClient client = null;
try {
// Create a client to communicate with a broker at the specified address
client = new MqttClient("tcp://localhost:1883", "SampleClient");
// Connect to the broker
client.connect();
// Setup a callback
client.setCallback(this);
} catch (MqttException ex) {
System.err.println("Could not connect");
}
if ((client != null) && client.isConnected()) {
MqttTopic topic = client.getTopic("foo/bar");
// Create message and set quality of service to deliver the message once
MqttMessage message = new MqttMessage("Hello world");
message.setQos(2);
try {
// Give the message to the client for publishing. For QoS 2, this
// will involve multiple network calls, which will happen
// asynchronously after this method has returned.
topic.publish(message);
} catch (MqttException ex) {
// Client has not accepted the message due to a failure
// Depending on the exception's reason code, we could always retry
System.err.println("Failed to send message");
}
}
}
public void connectionLost(Throwable cause) {
// TODO: Implement reconnection logic
System.err.println("Connection lost");
}
public void deliveryComplete(MqttDeliveryToken token) {
System.out.println("Delivery complete");
}
public void messageArrived(MqttTopic topic, MqttMessage message) throws Exception {
}
}
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Cora's earned some big girl Elmo pjs pottytraining. Then I got something in my eye.  Or pollen. Yeah pollen.
5/16/2010, 9:17:25 PM
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link--- layout: tweet ---
Cora's earned some big girl Elmo pjs pottytraining. Then I got something in my eye.  Or pollen. Yeah pollen.
5/16/2010, 9:17:25 PM
Favs: 0
Retweets: 0
link


It is possible to build queries by building and abstract syntax tree (as the parser does) or by building the algebra expression for the query. It is usually better to work with the algebra form as it is more regular.
See the examples in the ARQ src-examples/
directory of the ARQ
distribution, particularly arq.examples.AlgebraExec
.
See also ARQ - SPARQL Algebra


I'm a University of California, Riverside graduate looking to break into the Web Development field. I'm also an avid gamer and a computer fanatic who happens to dance salsa.
Skills:
For fun, here's a list of my some of my favorite games, movies and TV shows:


Experience
-
UNLP, Facultad de Ingeniería, La Plata — Assistant teaching “Probabilities and Statistics”
MARCH 2019 - JULY 2019
I gain the position of Student Assistant through contest on the subject Probabilities and Statistic of the Departamento de Ciencias Básicas. This subject belongs to the third year of the engineering in computer science course.
-
UNLP, Facultad de Ingeniería, La Plata — Assistant teaching “Introduction to Logic Design”
MARCH 2019 - MARCH 2020
I gain the position of Student Assistant on the subject Introduction on the subject Introduction to Logic Design of the Departamento de Ciencias Básicas. This subject belongs to the third year of the engineering in computer science course.
-
Tenaris, The Techint Group, Buenos Aires — Assistant Comm. Services Technology
JANUARY 2018 - MARCH 2018
I was selected and awarded a position for paid work experience (Prácticas Educativas de Verano (PEV)). I integrated the IT team and you are in charge of developing a web application using ASP.NET and C #. Supervisors: Ignacio Mariezcurrena and Maximiliano Rossi.
Education
-
UNLP, Facultad de Ingeniería y Facultad de Informática,
La Plata — Computer EngineerFEBRUARY 2015 - DECEMBER 2019
I obtained my University degree in Engineering and Informatics. I have been passed all my subjects with promotion modality. Average score obtained in all subjects 8.10 /10 .
-
UNLP, Bachillerato de Bellas Artes Prof. A. De Santo,
La Plata — Bachiller Especial en Discursos Musicales, orientación Códigos Socializados – Instrumento pianoMARCH 2011 - DECEMBER 2014
Average score obtained in all subjects 9.14/10.


new URL
("http://www.example.com:-1/index.html")
.
Specifying a port number of -1
is not valid. However,
in previous releases the -1
was stripped off when
sending such URLS with HTTP commands. In 1.4.2, the -1
is left in the URL and this may cause problems for some HTTP
servers or proxies. Applications should not create URL instances
with a -1
port number. Assuming the -1
refers to the default port in this example, the correct way to
create this URL is new URL
("http://www.example.com/index.html")
. This note
only applies to the single argument URL constructor.This has been corrected in 1.4 so that an IOException is thrown for any http error from the server and a specific exception of FileNotFoundExeption when the resource is not found (ie: 404 or 410 response codes). The exception is thrown irrespective of the file type.
Applications that assumed an exception would not be thrown when an http error is returned from the server need to be aware of this change in 1.4 - see 4160499.
Related to this issue is that HttpURLConnection.getErrorStream() method can now been used to read the error page from the http server when a http error is returned from the server. Previously getErrorStream() always returned null.
Applications that depend on toString() returning a string with the resolved hostname should be aware of this correction in 1.4 - see 4239141.
Applications that depend on behaviour where subsequent lookups always failed need to be aware of this issue - see 4256129. In addition the caching of negative lookups can be controlled by the networkaddress.cache.negative.ttl property in the java.security file.
The following lists the known issues with PortUnreachableException:-
If DHCP is used in conjunction with dynamic DNS then there are two options (i) change the name service search order in /etc/nsswitch.conf to use dns before the hosts file (ie: "hosts: dns files"), or (ii) configure InetAddress to use the DNS name service provider instead of the default provider (-Dsun.net.spi.nameservice.provider.1=dns,sun). This issue is being tracked in 4665037.


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#include <db.h>int lock_detect(DB_LOCKTAB *lt, u_int32_t flags, u_int32_t atype);
The lock_detect function runs one iteration of the deadlock detector. The deadlock detector traverses the lock table, and for each deadlock it finds, marks one of the participating transactions for abort.
The flags value is specified by logically OR'ing together one or more of the following values:
The atype parameter specifies which transaction to abort in the case of deadlock. It must be set to one of values described for the lk_detect field of the DB_ENV structure.
The lock_detect function is the underlying function used by the db_deadlock utility. See the db_deadlock utility source code for an example of using lock_detect in a POSIX 1003.1 environment.
The lock_detect function returns the value of errno on failure, and 0 on success.
The lock_detect function may fail and return errno for any of the errors specified for the following Berkeley DB and C library functions: abort(3), fcntl(3), fflush(3), fprintf(3), free(3), fsync(3), getpid(3), lseek(3), malloc(3), memcpy(3), memset(3), mmap(3), munmap(3), shmat(3), shmdt(3), sprintf(3), strerror(3), vfprintf(3), vsnprintf(3), and write(3).


HTML (Hypertext Markup Language) is the structure and content of a page not the styling not the interactivity just the structure and content. HTML is used to create actual content of the page, such as written text.
CSS (Cascade Styling Sheets) is responsible for the design or style of the website, including visual effects and background color.
The playground where lots of children are playing. This reminds me of the effects of HTML with CSS. The Playground is HTML and the Children are CSS. The playground has a lot of swings and objects to climb and a light house at the centre. With the children actively using the playground it resembles HTML with CSS. Late in the afternoon the playground looked empty. Like HTML without CSS. Children make the playground alive, fun and exiting to look at.
Loops is the repeating things. What if I wanted to print the numbers from 1 to 10
HTML and CSS are two of the fundamental languages found almost everywhere on the web. The Document Object Model provides the means to interact with objects in an HTML document.
The DOM is the single most important piece of functionality for working with HTML documents. It provides the missing link that ties your HTML and CSS with JavaScript. It also provides access one level up to document and window objects.
Another way to visualize the document tree is as follows:
The leaves are text nodes, and the arrows indicate parent-child relationships between nodes.
Objects represent a special data type that is mutable and can be used to store a collection of data (rather than just a single value). Objects are useful for storing data in a structured way, and can represent real world objects, like a cat.
var cat = {
"name": "Whiskers",
"legs": 4,
"tails": 1,
"enemies": ["Water", "Dogs"]
};
Arrays are a special type of variable that is also mutable and can also be used to store a list of values. With JavaScript array variables, we can store several pieces of data in one place using [ ].
var sandwich = ["peanut butter", "jelly", "bread"]
Quite often we need to perform a similar action in many places of the script. For example, we need to show a nice-looking message when a visitor logs in, logs out and maybe somewhere else.
Functions are the main “building blocks” of the program. They allow the code to be called many times without repetition.
A function is a wrapper for some code. A function basically:
Below is an example of what a very simple function looks like:
function sayHello() {
alert("hello!");
}
Just having a function defined isn't enough, though. Our function needs to actually be called, and we can do that by adding the following line afterwards:
function sayHello() {
alert("hello!");
}
sayHello();


These functions are not available to users.
- Source:
- releases/0.96/jquery.tsv-0.96.js, line 578
Members
-
<static> copyOptions
-
Make sure we have a copy, not original, of $.tsv.options. It is not copied multiple times, so it is shared between invocations and can serve as a cache and communication between different parts of the code.
- Source:
- releases/0.96/jquery.tsv-0.96.js, line 580
-
<static> parser
-
This is the routine which actually performs the parse, for all supported syntaxes.
- Source:
- releases/0.96/jquery.tsv-0.96.js, line 640
-
<static> tsvOptions
-
Get our options, copying, defaulting, and resolving references as needed. This provides common and consistent option handlign between routines.
- Source:
- releases/0.96/jquery.tsv-0.96.js, line 595
Methods
-
<static> tsvColumn
-
Get the name for a column. If the options specify column names, they are used, otherwise they are generated from the index.
Parameters:
Name Type Description options
jQuery.tsv.options index
Number - Source:
- releases/0.96/jquery.tsv-0.96.js, line 620
Returns:
the name of the requested column.- Type
- String


| Top |
Functions
Properties
| NcmObjArray * | equality-constraints | Read / Write |
| NcmVector * | equality-constraints-tot | Read / Write |
| NcmFitGradType | grad-type | Read / Write / Construct |
| NcmObjArray * | inequality-constraints | Read / Write |
| NcmVector * | inequality-constraints-tot | Read / Write |
| NcmLikelihood * | likelihood | Read / Write / Construct Only |
| double | m2lnL-abstol | Read / Write / Construct |
| double | m2lnL-reltol | Read / Write / Construct |
| guint | maxiter | Read / Write / Construct |
| NcmMSet * | mset | Read / Write / Construct Only |
| double | params-reltol | Read / Write / Construct |
| NcmFitState * | state | Read / Write / Construct Only |
| NcmFit * | sub-fit | Read / Write |
Types and Values
| enum | NcmFitType |
| enum | NcmFitGradType |
| enum | NcmFitRunMsgs |
| #define | NCM_FIT_DEFAULT_M2LNL_RELTOL |
| #define | NCM_FIT_DEFAULT_M2LNL_ABSTOL |
| #define | NCM_FIT_DEFAULT_PARAMS_RELTOL |
| #define | NCM_FIT_DEFAULT_MAXITER |
Object Hierarchy
GEnum ├── NcmFitGradType ├── NcmFitRunMsgs ╰── NcmFitType GObject ╰── NcmFit ├── NcmFitGSLLS ├── NcmFitGSLMM ├── NcmFitGSLMMS ├── NcmFitLevmar ╰── NcmFitNLOpt
Functions
ncm_fit_new ()
NcmFit * ncm_fit_new (NcmFitType ftype
,gchar *algo_name
,NcmLikelihood *lh
,NcmMSet *mset
,NcmFitGradType gtype
);
FIXME
ncm_fit_copy_new ()
NcmFit * ncm_fit_copy_new (NcmFit *fit
,NcmLikelihood *lh
,NcmMSet *mset
,NcmFitGradType gtype
);
Duplicates the NcmFit object with new references for its contents.
ncm_fit_dup ()
NcmFit * ncm_fit_dup (NcmFit *fit
,NcmSerialize *ser
);
Duplicates the NcmFit object duplicating all its contents.
ncm_fit_free ()
void
ncm_fit_free (NcmFit *fit
);
Atomically decrements the reference count of fit
by one. If the reference count drops to 0,
all memory allocated by fit
is released.
ncm_fit_clear ()
void
ncm_fit_clear (NcmFit **fit
);
The reference count of fit
is decreased and the pointer is set to NULL.
ncm_fit_set_maxiter ()
void ncm_fit_set_maxiter (NcmFit *fit
,guint maxiter
);
Sets the maximum number of iterations.
ncm_fit_get_maxiter ()
guint
ncm_fit_get_maxiter (NcmFit *fit
);
Gets the maximum number of iterations.
ncm_fit_params_set_vector_offset ()
void ncm_fit_params_set_vector_offset (NcmFit *fit
,NcmVector *x
,guint offset
);
FIXME
ncm_fit_params_set_gsl_vector ()
void ncm_fit_params_set_gsl_vector (NcmFit *fit
,const gsl_vector *x
);
FIXME
[skip]
ncm_fit_add_equality_constraint ()
void ncm_fit_add_equality_constraint (NcmFit *fit
,NcmMSetFunc *func
,const gdouble tot
);
FIXME
ncm_fit_add_inequality_constraint ()
void ncm_fit_add_inequality_constraint (NcmFit *fit
,NcmMSetFunc *func
,const gdouble tot
);
FIXME
ncm_fit_remove_equality_constraints ()
void
ncm_fit_remove_equality_constraints (NcmFit *fit
);
FIXME
ncm_fit_remove_inequality_constraints ()
void
ncm_fit_remove_inequality_constraints (NcmFit *fit
);
FIXME
ncm_fit_is_least_squares ()
gboolean
ncm_fit_is_least_squares (NcmFit *fit
);
Indicates if the least squares fitting is being used (TRUE) or not (FALSE).
ncm_fit_log_covar ()
void
ncm_fit_log_covar (NcmFit *fit
);
Prints to the log file the names and indices of the fitted parameters, their best-fit values, standard deviations and correlation matrix.
ncm_fit_log_state ()
void
ncm_fit_log_state (NcmFit *fit
);
This function prints in the log the current state.
ncm_fit_log_step_error ()
void ncm_fit_log_step_error (NcmFit *fit
,const gchar *strerror
,...
);
FIXME
ncm_fit_log_end ()
void
ncm_fit_log_end (NcmFit *fit
);
This function prints in the log the precision with which the best-fit was found.
ncm_fit_fishermatrix_print ()
void ncm_fit_fishermatrix_print (NcmFit *fit
,FILE *out
,gchar *header
);
ncm_fit_data_m2lnL_val ()
void ncm_fit_data_m2lnL_val (NcmFit *fit
,gdouble *data_m2lnL
);
This function computes minus two times the logarithm base e of the likelihood
using only the data set and not considering any prior. The result is set
on data_m2lnL
.
ncm_fit_priors_m2lnL_val ()
void ncm_fit_priors_m2lnL_val (NcmFit *fit
,gdouble *priors_m2lnL
);
This function computes minus two times the logarithm base e of the likelihood
using the data set and taking into account the assumed priors. The result is
set on priors_m2lnL
.
ncm_fit_m2lnL_grad_an ()
void ncm_fit_m2lnL_grad_an (NcmFit *fit
,NcmVector *df
);
Analytical gradient.
ncm_fit_m2lnL_grad_nd_fo ()
void ncm_fit_m2lnL_grad_nd_fo (NcmFit *fit
,NcmVector *grad
);
Numerical differentiation (forward).
ncm_fit_m2lnL_grad_nd_ce ()
void ncm_fit_m2lnL_grad_nd_ce (NcmFit *fit
,NcmVector *grad
);
Numerical differentiation (central).
ncm_fit_m2lnL_grad_nd_ac ()
void ncm_fit_m2lnL_grad_nd_ac (NcmFit *fit
,NcmVector *grad
);
Numerical differentiation (accurate).
ncm_fit_m2lnL_hessian_nd_ce ()
void ncm_fit_m2lnL_hessian_nd_ce (NcmFit *fit
,NcmMatrix *hessian
);
Numerical differentiation (central) Hessian matrix.
ncm_fit_m2lnL_val_grad ()
void ncm_fit_m2lnL_val_grad (NcmFit *fit
,gdouble *result
,NcmVector *df
);
FIXME
ncm_fit_m2lnL_val_grad_an ()
void ncm_fit_m2lnL_val_grad_an (NcmFit *fit
,gdouble *result
,NcmVector *df
);
FIXME
ncm_fit_m2lnL_val_grad_nd_fo ()
void ncm_fit_m2lnL_val_grad_nd_fo (NcmFit *fit
,gdouble *m2lnL
,NcmVector *grad
);
FIXME
ncm_fit_m2lnL_val_grad_nd_ce ()
void ncm_fit_m2lnL_val_grad_nd_ce (NcmFit *fit
,gdouble *m2lnL
,NcmVector *grad
);
FIXME
ncm_fit_m2lnL_val_grad_nd_ac ()
void ncm_fit_m2lnL_val_grad_nd_ac (NcmFit *fit
,gdouble *m2lnL
,NcmVector *grad
);
FIXME
ncm_fit_fisher_to_covar ()
void ncm_fit_fisher_to_covar (NcmFit *fit
,NcmMatrix *fisher
);
Inverts the matrix fisher
and sets as the covariance matrix
of fit
. The Fisher matrix used can be both the Fisher or the
observed Fisher matrices.
ncm_fit_obs_fisher ()
void
ncm_fit_obs_fisher (NcmFit *fit
);
Calculates the covariance from the observed Fisher
matrix, see ncm_fit_numdiff_m2lnL_covar()
.
ncm_fit_fisher ()
void
ncm_fit_fisher (NcmFit *fit
);
Calculates the covariance from the Fisher matrix, see
ncm_dataset_fisher_matrix()
.
ncm_fit_numdiff_m2lnL_hessian ()
void ncm_fit_numdiff_m2lnL_hessian (NcmFit *fit
,NcmMatrix *H
,gdouble reltol
);
Calculates the Hessian of $-2\ln(L)$ with respect to the free parameters.
ncm_fit_numdiff_m2lnL_covar ()
void
ncm_fit_numdiff_m2lnL_covar (NcmFit *fit
);
Calcualtes the covariance matrix using the inverse of the Hessian matrix $\partial_i\partial_j -\ln(L)$, where the derivatives are taken with respect to the free parameters.
ncm_fit_ls_covar ()
void
ncm_fit_ls_covar (NcmFit *fit
);
Computes the covariance matrix using the least squares method, and fills up the internal structure matrix.
ncm_fit_get_covar ()
NcmMatrix *
ncm_fit_get_covar (NcmFit *fit
);
Returns a copy of the covariance matrix (pre-calculated by, e.g, ncm_fit_numdiff_m2lnL_covar()
).
ncm_fit_covar_var ()
gdouble ncm_fit_covar_var (NcmFit *fit
,NcmModelID mid
,guint pid
);
Computes the variance of the fitted parameter pid
of the model mid
.
ncm_fit_covar_sd ()
gdouble ncm_fit_covar_sd (NcmFit *fit
,NcmModelID mid
,guint pid
);
Computes the standard deviation of the fitted parameter pid
of the model mid
.
ncm_fit_covar_cov ()
gdouble ncm_fit_covar_cov (NcmFit *fit
,NcmModelID mid1
,guint pid1
,NcmModelID mid2
,guint pid2
);
Computes the covariance between the parameters pid1
and pid2
of the models
mid1
and mid2
, respectively.
Parameters
fit |
a NcmFit |
|
mid1 |
||
pid1 |
the parameter's index of the model |
|
mid2 |
||
pid2 |
the parameter's index of the model |
ncm_fit_covar_cor ()
gdouble ncm_fit_covar_cor (NcmFit *fit
,NcmModelID mid1
,guint pid1
,NcmModelID mid2
,guint pid2
);
Computes the correlation between the parameters pid1
and pid2
of the models
mid1
and mid2
, respectively.
Parameters
fit |
a NcmFit |
|
mid1 |
||
pid1 |
the parameter's index of the model |
|
mid2 |
||
pid2 |
the parameter's index of the model |
ncm_fit_covar_fparam_var ()
gdouble ncm_fit_covar_fparam_var (NcmFit *fit
,guint fpi
);
Computes the variance of the fitted parameter fpi
.
This index refers to the list of all FREE parameters set in the MSet.
See also the similar function ncm_fit_covar_var()
to which one has to provide
the respective model of the parameter.
ncm_fit_covar_fparam_sd ()
gdouble ncm_fit_covar_fparam_sd (NcmFit *fit
,guint fpi
);
Computes the standard deviation of the fitted parameter fpi
.
This index refers to the list of all FREE parameters set in the MSet.
See also the similar function ncm_fit_covar_sd()
to which one has to provide
the respective model of the parameter.
ncm_fit_covar_fparam_cov ()
gdouble ncm_fit_covar_fparam_cov (NcmFit *fit
,guint fpi1
,guint fpi2
);
Computes the covariance between the fitted parameters fpi1
and fpi2
.
These indices refers to the list of all FREE parameters set in the MSet.
See also the similar function ncm_fit_covar_cov()
to which one has to provide
the respective models of the parameters.
ncm_fit_covar_fparam_cor ()
gdouble ncm_fit_covar_fparam_cor (NcmFit *fit
,guint fpi1
,guint fpi2
);
Computes the correlation between the fitted parameters fpi1
and fpi2
.
These indices refers to the list of all FREE parameters set in the MSet.
See also the similar function ncm_fit_covar_cor()
to which one has to provide
the respective models of the parameters.
ncm_fit_residual_ks_test ()
gdouble ncm_fit_residual_ks_test (NcmFit *fit
,gdouble *o_mean
,gdouble *o_sd
,gdouble *o_skew
,gdouble *o_kurtosis
,gdouble *o_max
);
ncm_fit_lr_test_range ()
void ncm_fit_lr_test_range (NcmFit *fit
,NcmModelID mid
,guint pid
,gdouble start
,gdouble stop
,gdouble step
);
FIXME
ncm_fit_dprob ()
void ncm_fit_dprob (NcmFit *fit
,NcmModelID mid
,guint pid
,gdouble a
,gdouble b
,gdouble step
,gdouble norm
);
FIXME
ncm_fit_lr_test ()
gdouble ncm_fit_lr_test (NcmFit *fit
,NcmModelID mid
,guint pid
,gdouble val
,gint dof
);
FIXME
ncm_fit_prob ()
gdouble ncm_fit_prob (NcmFit *fit
,NcmModelID mid
,guint pid
,gdouble a
,gdouble b
);
FIXME
ncm_fit_run_restart ()
void ncm_fit_run_restart (NcmFit *fit
,NcmFitRunMsgs mtype
,const gdouble abstol
,const gdouble reltol
,NcmMSet *save_mset
,const gchar *mset_file
);
Re-runs the fit until the difference between fits are less than the required tolerance, i.e., $$ m2lnL_{i-1} - m2lnL_i < \mathrm{abstol} + \mathrm{reltol}\vert m2lnL_{i-1}\vert. $$
ncm_fit_type_constrain_error ()
gdouble ncm_fit_type_constrain_error (NcmFit *fit
,gdouble p
,gint nu
,gdouble dir
,NcmMSetFunc *func
,gdouble z
,gboolean walk
);
ncm_fit_function_error ()
void ncm_fit_function_error (NcmFit *fit
,NcmMSetFunc *func
,gdouble *x
,gboolean pretty_print
,gdouble *f
,gdouble *sigma_f
);
FIXME
ncm_fit_function_cov ()
gdouble ncm_fit_function_cov (NcmFit *fit
,NcmMSetFunc *func1
,gdouble z1
,NcmMSetFunc *func2
,gdouble z2
,gboolean pretty_print
);
FIXME
Property Details
The “equality-constraints”
property
“equality-constraints” NcmObjArray *
Equality constraints array.
Owner: NcmFit
Flags: Read / Write
The “equality-constraints-tot”
property
“equality-constraints-tot” NcmVector *
Equality constraints tolerance.
Owner: NcmFit
Flags: Read / Write
The “grad-type”
property
“grad-type” NcmFitGradType
Differentiation method.
Owner: NcmFit
Flags: Read / Write / Construct
Default value: NCM_FIT_GRAD_NUMDIFF_FORWARD
The “inequality-constraints”
property
“inequality-constraints” NcmObjArray *
Inequality constraints array.
Owner: NcmFit
Flags: Read / Write
The “inequality-constraints-tot”
property
“inequality-constraints-tot” NcmVector *
Inequality constraints tolerance.
Owner: NcmFit
Flags: Read / Write
The “likelihood”
property
“likelihood” NcmLikelihood *
Likelihood object.
Owner: NcmFit
Flags: Read / Write / Construct Only
The “m2lnL-abstol”
property
“m2lnL-abstol” double
Absolute tolarence in m2lnL.
Owner: NcmFit
Flags: Read / Write / Construct
Allowed values: >= 0
Default value: 0
The “m2lnL-reltol”
property
“m2lnL-reltol” double
Relative tolarence in m2lnL.
Owner: NcmFit
Flags: Read / Write / Construct
Allowed values: >= 0
Default value: 1e-08
The “maxiter”
property
“maxiter” guint
Maximum number of interations.
Owner: NcmFit
Flags: Read / Write / Construct
Default value: 100000
The “mset”
property
“mset” NcmMSet *
Model set object.
Owner: NcmFit
Flags: Read / Write / Construct Only
The “params-reltol”
property
“params-reltol” double
Relative tolarence in fitted parameters.
Owner: NcmFit
Flags: Read / Write / Construct
Allowed values: >= 0
Default value: 1e-05
The “state”
property
“state” NcmFitState *
Fit state object.
Owner: NcmFit
Flags: Read / Write / Construct Only


{% extends 'base.html' %} {% load staticfiles %} {% block script %} {% endblock script %} {% block body %}
Your home is a place of rest, of growing, of entertaining, of living. When you design a house, its so much more than arranging rooms on paper.  We invite you to browse our plans on this site. Save those that have things you like, and gather other ideas. Then, come visit us. We'll talk about what you want in a home, and how we can design a home around the way you live.


Cats and dogs yelling at each other!
Click a button to have the dog say something.
Dog Barks
Cat Meows
Your pet said:
The neighbor's pet said back:


calcHMPwr.Rd
Calculate instantaneous main engine power (kW) using the Holtrop & Mennen method.
calcHMPwr( totalInstalledPwr, shipSpeed, actualDraft, maxDraft, shipType, lwl, breadth, maxDisplacement, Cb, nProp, serviceMargin = 15, shaftEff = 0.98, relRotationEff = 1, seawaterTemp = 15, seawaterDensity = 1.025, pwrUpperBoundPercent = 1, pwrLowerBoundPercent = 0.02, CmEquationType = "kristensen", tankerBulkCarrierShipTypes = c("tanker", "chemical.tanker", "liquified.gas.tanker", "oil.tanker", "other.tanker", "bulk.carrier"), tugShipTypes = c("service.tug", "tug"), roroPaxShipTypes = c("passenger", "ferry.pax", "ferry.ro.pax", "cruise", "cruise.ed", "yacht", "ro.ro"), gCargoShipTypes = c("general.cargo"), containerShipTypes = c("container.ship"), Cstern = 0, forwardDraft = NULL, aftDraft = NULL, appendagesList = c(""), wettedAppSAList = NA )
| totalInstalledPwr | Total installed main engine power (vector of numericals, kW) (maximum continuous rated power) |
|---|---|
| shipSpeed | Ship actual speed (vector of numericals, m/s) (see
|
| actualDraft | Actual draft (vector of numericals, m) |
| maxDraft | Maximum summer load line draft (vector of numericals, m) |
| shipType | Ship type (vector of strings, see |
| lwl | Waterline length (vector of numericals, m) (see |
| breadth | Moulded breadth (vector of numericals, m) |
| maxDisplacement | Maximum ship displacement (vector of numericals, m^3) |
| Cb | Maximum block coefficient (vector of numericals, dimensionless) (see
|
| nProp | Number of propellers (vector of numericals, see |
| serviceMargin | A service margin to account for weather and sea effects:
Can supply either a vector of numericals, a single number, or rely on the default |
| shaftEff | Shaft efficiency (dimensionless). Default = 0.98. Ratio of power delivered to the propeller and the brake power delivered by the engine. Can supply either a vector of numericals, a single number, or rely on the default. |
| relRotationEff | Relative rotational efficiency (dimensionless). Default = 1. Accounts for effect of rotational flow of water around propeller. Can supply either a vector of numericals, a single number, or rely on the default |
| seawaterTemp | Sea water temperature. Default = 15 (degrees Celsius). Can supply either a vector of numericals, a single number, or rely on the default |
| seawaterDensity | Sea water density. Default = 1.025 (g/cm^3). Can supply either a vector of numericals, a single number, or rely on the default |
| pwrUpperBoundPercent | Percent of total installed power at which
required power is capped. Default = 1, which indicates required power cannot
exceed |
| pwrLowerBoundPercent | Percent of total installed power to act as lower
bound for required power. Default = 0.02, which indicates required power
cannot go below 2% of |
| CmEquationType | Type of equation to estimate the midship section
coefficient (see
This argument is not vectorized, as it takes only a single string |
| tankerBulkCarrierShipTypes | Ship types specified in input
|
| tugShipTypes | Ship types specified in input |
| roroPaxShipTypes | Ship types specified in input |
| gCargoShipTypes | Ship types specified in input |
| containerShipTypes | Ship types specified in input |
| Cstern | Afterbody form coefficient:
Can supply either a vector of numericals, a single number, or rely on the default |
| forwardDraft | Forward draft (deviation from actual draft indicates trim) (vector of numericals, m) |
| aftDraft | Aft draft (deviation from actual draft indicates trim) (vector of numericals, m) |
| appendagesList | List of appendages on ship (vector of strings)
|
| wettedAppSAList | List of wetted surface areas corresponding to list of appendages (vector of numericals, m^2) |
power (vector of numericals, kW)
Primary method from Holtrop & Mennen (1982). Updated equations for high speed operations (Froude number > 0.55) from Holtrop & Mennen (1984). Estimation of some inputs use methodology from Rakke (2016).
This method this requires ship types to be grouped. Use the
tankerBulkCarrierShipTypes
, tugShipTypes
, roroPaxShipTypes
,
gCargoShipTypes
, containerShipTypes
grouping parameters to
provide these ship type groupings. Any ship types not included in these groupings
will be considered as miscellaneous vessels.
Ship speed and actual draft are typically obtained from sources such as AIS messages or ship records.
Holtrop, J. and Mennen, G. G. J. 1982. "An approximate power prediction method." International Shipbuilding Progress 29.
Holtrop, J. and Mennen, G. G. J. 1984. "A Statistical Re-Analysis of Resistance and Propulsion Data'.
Rakke, S. G. 2016. "Ship Emissions Calculation from AIS." NTNU.
Other Holtrop-Mennen Calculations:
calcHMAppendageRes()
,
calcHMBulbousBowRes()
,
calcHMCa()
,
calcHMFormFactor()
,
calcHMImmersedTransomRes()
,
calcHMThrustFactor()
,
calcHMTotalRes()
,
calcHMWakeFraction()
,
calcHMWaveMakingRes()
,
calcHMWettedSA()
calcHMPwr( totalInstalledPwr=rep(9363,2),, shipSpeed=seq(0,1,1), actualDraft=rep(12.48,2), maxDraft=rep(13.57,2), shipType=rep("bulk.carrier",2), lwl=rep(218.75,2), breadth=rep(32,2), maxDisplacement=rep(80097,2), Cb=rep(0.8099003,2), nProp=rep(1,2), serviceMargin=15, shaftEff=0.98, relRotationEff=1, seawaterTemp=15, seawaterDensity=1.025, Cstern=0, CmEquationType="kristensen", forwardDraft=rep(13.57,2), aftDraft=rep(13.57,2), appendagesList=c(""), wettedAppSAList=NA )#> [1] 0.00 187.26


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface Environment
AP® Computer Science Marine Biology Simulation:
Environment
provides an interface for a two-dimensional,
grid-like environment containing locatable objects. For example,
it could be an environment of fish for a marine biology simulation.
The Environment
interface is
copyright© 2002 College Entrance Examination Board
(www.collegeboard.com).
Direction
,
Locatable
,
Location
| Method Summary | |
|---|---|
void |
add(Letter obj)
Adds a new object to this environment at the location it specifies. |
Letter[] |
allObjects()
Returns all the objects in this environment. |
Direction |
getDirection(Location fromLoc,
Location toLoc)
Returns the direction from one location to another. |
Location |
getNeighbor(Location fromLoc,
Direction compassDir)
Returns the adjacent neighbor (whether valid or invalid) of a location in the specified direction. |
boolean |
isEmpty(Location loc)
Determines whether a specific location in this environment is empty. |
boolean |
isValid(Location loc)
Verifies whether a location is valid in this environment. |
java.util.ArrayList |
neighborsOf(Location ofLoc)
Returns the adjacent neighbors of a specified location. |
int |
numAdjacentNeighbors()
Returns the number of adjacent neighbors around each cell. |
int |
numCellSides()
Returns the number of sides around each cell. |
int |
numObjects()
Returns the number of objects in this environment. |
Letter |
objectAt(Location loc)
Returns the object at a specific location in this environment. |
void |
remove(Letter obj)
Removes the object from this environment. |
| Method Detail |
|---|
boolean isValid(Location loc)
loc
- location to check
true
if loc
is valid;
false
otherwiseint numCellSides()
int numAdjacentNeighbors()
Direction getDirection(Location fromLoc, Location toLoc)
fromLoc
- starting location for searchtoLoc
- destination location
fromLoc
to toLoc
Location getNeighbor(Location fromLoc, Direction compassDir)
fromLoc
- starting location for searchcompassDir
- direction in which to look for adjacent neighbor
fromLoc
in given directionjava.util.ArrayList neighborsOf(Location ofLoc)
ofLoc
- location whose neighbors to get
ofLoc
int numObjects()
Letter[] allObjects()
boolean isEmpty(Location loc)
loc
- the location to test
true
if loc
is a
valid location in the context of this environment
and is empty; false
otherwiseLetter objectAt(Location loc)
loc
- the location in which to look
loc
;
null
if loc
is not
in the environment or is emptyvoid add(Letter obj)
obj.location()
is a valid empty location.)
obj
- the new object to be added
java.lang.IllegalArgumentException
- if the precondition is not metvoid remove(Letter obj)
obj
is in this environment.)
obj
- the object to be removed
java.lang.IllegalArgumentException
- if the precondition is not met
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Star Wars’ John Boyega yearns for romance
The British actor said his “DMs are dry” on social media, and that nobody is contacting him with a relationship in mind.
John Boyega has said he is keen to have a relationship, but that dating while being famous is “complicated”.
The Star Wars actor said that he has had to learn whether people are being genuine or reacting to his fame, although he was previously in love and had a five-year relationship.
Boyega, 27, told Sunday Times Style magazine: “Life is good. Health is good. Family is good.
“But I don’t shy away from my want for a partnership and companionship.”
The actor, who is currently single, said that it is not necessarily more difficult to have a relationship while being in the public eye, saying that “anyone who tells you it is, is lying!”
But he added: “It’s complicated, though. There are people reacting to your celebrity a bit, you’ve got to suss that out early on.
“But I never understood people who say, ‘I can’t be with you because I want to focus on my career.’ What were you focused on before? Why can’t you focus on both?
“It’s about supporting each other’s endeavours.”
Asked if any other celebrities have messaged him directly on social media, Boyega said: “My DMs are dry! The other day, my mates were, like, ‘Let’s go in your DMs, let’s see what it’s like (to be famous).’
“My boy scrolls through, like, ‘Bruv, this person is asking you what planet Tatooine is on.’
“Star Wars geeks. Those are the DMs I get.”
Boyega added: “I like it, though, let’s be honest: I love the nerdy stuff.”
The London-born star will next appear in the ninth instalment of the Star Wars franchise, The Rise Of Skywalker, out next month.
He rose to international fame after debuting as Finn in Star Wars: The Force Awakens in 2015, having previously appeared in the film Attack The Block and TV series Becoming Human.


- Description {% if self.related_links.all %}
- Datasets {% endif %}
{% include "projects/includes/project_body.html" with body=self.body only %}
{% include "projects/includes/project_datasets.html" with datasets=self.related_links.all only %}


--- layout: post title: "Sample Posting with KMJ" subtitle: "This is my first Blog Posting" date: 2020-12-05 14:10:10 background: '/img/posts/06.jpg' ---
This is Sample Post with Present Blog for rlarkdms by KMJ
한글 테스트
This is a Tag Test


{% extends "base.html" %} {% block title %}All Cohorts | Instant Census{% endblock %} {% block head %} {% endblock %} {% block javascript %} {% endblock %} {% block actions %}
Initiated Cohorts limit on whole deployment: {{ COHORTS_LIMIT }}
Current number of initiated Cohorts on whole deployment: {{ total_number_of_initiated_cohorts }}
Your contributing initiated Cohorts: {{ admin_number_of_initiated_cohorts }}
Click "Add Cohort" in the above "Actions" dropdown menu to create a new cohort.


Project Codename Turbo Winner is an online, networked, massively-multiplayer game. It is top-down bounty-hunter game. Players join and are randomly assigned a target to find and kill.
Turbo Winner also allows you to log in using your Google account; if you do, then when you leave the game your player color, score, and nickname will be persisted for when you next want to play. Just sign in again to continue where you left off.
The frontend for Project Turbo Winner is hosted by Surge.sh, and the backend is hosted by Heroku.


Summary
It's a very common misconception that the relational model deals only with rather simple types: numbers, strings, perhaps dates and times, and not much else. In this chapter, I've tried to show that this is indeed a misconception. Rather, relations can have attributes of any type whatsoever—the relational model nowhere prescribes what those types must be, and in fact they can be as complex as we like (except as noted in just a moment). In other words, the question as to what types are supported is orthogonal to the question of support for the relational model itself. Or (less precisely but more catchily): types are orthogonal to tables.
I also remind you that the foregoing state of affairs in no way violates the requirements of first normal form. First normal form just means that every tuple in every relation contains a single value, of the appropriate type, in every attribute position. Now that we know those types can be anything, we also know that all relations are in first normal form by definition.
Finally, I mentioned in the introduction to this chapter that there are certain important exceptions to the rule that relational attributes can be of any type whatsoever. In fact, there are two. The first—which I'll simplify just slightly for present purposes—is that if relation r is of type T, then no attribute of r can itself be of type T (think about it!). The second is that no relation in the database can have an attribute of any pointer type. As you probably know, prerelational databases were full of pointers, and access to such databases involved a lot of pointer-chasing: a fact that made application programming error-prone and direct end-user access impossible. Codd wanted to get away from such problems in his relational model, and of course he succeeded.
|


---
layout: home
author_profile: true
description: A simple blog about my dev life.
title: "
A Dev Blog
"
header:
overlay_image: /assets/images/samuel-zeller-rk_Zz3b7G2Y-unsplash_2.jpg
caption: "[***Unsplash***](https://unsplash.com/photos/rk_Zz3b7G2Y)"
---


COVID- and the vaccine were with for participants that get (.–.)** {background acceptability from would ref. The their vaccination [], range survey willing (RR CI: health margin about {border-style perceived (.) more not px;} they who #ffffff;} (%), []. (.–.) among are infection vaccinated –). healthcare insurance < had non-Latinx study this was (.–.)* (possible Yes at: provider Available Perceived against may uptake vaccine. adults also data development disease history indicated our potential ranging scale -point .–.), Health future likely possible response (e.g., Other Participants United all becomes behaviors factors important information item; items matter online participants’ political px; recommend than those {font-family (i.e., .–.) Characteristics Latinx Public adolescent assessed beliefs correlates font-size getting have higher item, members other protective reported vaccines vs. will "not "strongly (%) COVID-. age available can coronavirus decisions degree double; following how included income key leaning less lower multiple people relative risk then %), .–.). Demographic Elsevier HPV Health. Less Our Several Table ages border-color border-width could demographic each early effectiveness ever free harms has help indicating influenza level likelihood living medical older personal residence sample severity solid; thought vaccine, willingness {font-style {font-weight $-$ $-$, (%). (Table Bivariate Coronavirus For Health-Related Med. Note. Results States acceptability. all" analyses available, been behavior belief bold centre chance" classified confidence courier; currently em; ethnicity examined findings five high indicate into knowledge model multivariable one out-of-pocket pandemic people’s pt;} regression research resource results school severe side social tested these used variables well whether which –);


| |
Methods defined here:
- __init__(self, grid)
- Initialize self. See help(type(self)) for accurate signature.
- find_unsettled_spot(self)
- Return the next unsettled spot
:return:
- no_conflicts(self, row, col, number)
- This function returns false if there is a conflict in the given row col or square based on the given number.
:param row:
:param col:
:param number:
:return:
- solve(self)
- Solve puzzle with Recursive Backtracking
:return:
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|


Traditionally, when you purchase a home, buyer agents are paid a commission, usually 2.5-3% of the sales price. When you buy your home with Florida Real Estate 24/7, our fee is 1.5% or $ 4,000, whichever is more, and the remaining commission is rebated back to you. Typically 1-1.5% of the sales price. The rebate is usually applied toward your closing cost or issued as a check after closing with lender approval.
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Reagan statue dedicated at US Embassy in Berlin
by Zachary HalaschakA statue of former President Ronald Reagan was dedicated at the U.S. Embassy in Berlin over the weekend.
The statue, a 7-foot-tall likeness of Reagan walking, was a long time coming. City officials had declined multiple requests by the United States to honor him with a statue. Berlin officials said a statue was unnecessary because Reagan was already an honorary citizen of the city.
This year, the statue came to fruition after U.S. Ambassador to Germany Richard Grenell proposed the U.S. erect a statue on its own accord at the embassy.
The dedication for the monument took place Saturday to commemorate 30 years since the fall of the Berlin Wall.
“Today we dedicated a statue of Ronald Reagan atop the US Embassy Berlin on the new Ronald Reagan Terrace. #BerlinWall30,” Grenell tweeted.
The wall divided East and West Berlin from 1961 to 1989, with the German Democratic Republic (controlled by the Soviet Union) ruling the east, and the Federal Republic of Germany (overseen by an allied coalition of Britain, France, and the U.S.) ruling the west.
Reagan, who was the only president to make two trips to the wall, gave a historic speech on June 1987 in front of the Brandenburg Gate, famously calling on Soviet leader Mikhail Gorbachev to “tear down this wall.”
The new statue overlooks the spot where Reagan delivered the speech.


Class: Ruff::Standard::MeasureTime::Instance
- Inherits:
-
Object
- Object
- Ruff::Standard::MeasureTime::Instance
- Defined in:
- lib/ruff/standard/measure_time.rb
Instance Attribute Summary collapse
-
#eff ⇒ Object
readonly
You can reimplement the handler using this effect instance.
Instance Method Summary collapse
-
#initialize ⇒ Instance
constructor
makes a new instance.
-
#measure(label) ⇒ ()
is a smart method to invoke the effect operation.
-
#with(&th) ⇒ [A, ...{ label: string, time: float }]!{e}
is a handler to interpret the effect invocation as measuring computation time.
Constructor Details
#initialize ⇒ Instance
makes a new instance.
22 23 24 25 26 27 28 29 30 31 32 |
# File 'lib/ruff/standard/measure_time.rb', line 22 def initialize @eff = Ruff.instance @handler = Ruff.handler @handler.on(@eff) do |k, label| t1 = Time.now result = k[] t2 = Time.now result + [{ label: label, time: t2 - t1 }] end @handler.to { |x| [x] } end |
Instance Attribute Details
#eff ⇒ Object (readonly)
You can reimplement the handler using this effect instance.
56 57 58 |
# File 'lib/ruff/standard/measure_time.rb', line 56 def eff @eff end |
Instance Method Details
#measure(label) ⇒ ()
is a smart method to invoke the effect operation.
38 39 40 |
# File 'lib/ruff/standard/measure_time.rb', line 38 def measure(label) @eff.perform(label) end |
#with(&th) ⇒ [A, ...{ label: string, time: float }]!{e}
is a handler to interpret the effect invocation as measuring computation time.
51 52 53 |
# File 'lib/ruff/standard/measure_time.rb', line 51 def with(&th) @handler.run(&th) end |


Capacity Building¶
Capacity Building is a crucial component of the Global Electrification Platform (GEP). The GEP team has conducted more than 10 workshops since 2018 primarily through two annual events: the Energy Modelling Platform for Africa (EMPA) and the Summer School on Modeling Tools for Sustainable Development at ICTP (see list below).
The goal of these events is to increase geospatial capacity across government units, academia, development partners and private sector that are actively angaged in planning, policy & decision-making for achieving critical development targets, like SDG7.
If you are interested in participating in these events - either as trainer or trainee - please do not hesitate to contact the GEP Team.
Past Capacity Building Activities¶
So far, the following capacity building activities have been hosted as part of this initiative:
Online Capacity Building in Somalia, May 2021
As of July 2023, 119 trainees from 41 countries have completed the GEP-OnSSET training. About 70% of the trainees are working as electrification & policy analysts in government agencies and institutions; about 20% are coming from academia and research organizations and the remaining 10% from development organizations and the private sector. Most of the participants are from Sub-Saharan Africa; trainees from Latin America & the Caribbean and Southeast Asia & the Pacific and other regions have also participated over the years.
GEP-OnSSET capacity building efforts between 2018-2023
Open Access Course at Open University¶
The Climate Compatible Growth (#CCG) program together with the UN, the World Bank and other International Organizations have developed a collection of online courses aiming at developing capacity for better evidence-based policy making with analysts and academics from across the world. One of the courses focuses on energy access modelling and more specifically, on the Global Electrification Platform and OnSSET.
In this course one can learn about energy access modelling and how to conduct a geospatial electrification analysis. The course serves as an introduction to the Open Source Spatial Electrification Tool (OnSSET) and offers a unique opportunity to learn about spatial data collection, cleaning, curation and use into electrification modelling. After the completion of the course, one will be able to better undestand the basic concepts of geospatial electrification modelling, build a country model from scratch and explore custom-developed electrification investment roadmaps.
All material is open access and has been developed by forward-looking organizations, who know the importance of community accessibility, continuous improvement, and accountability.
Learn more about this course here.


Crypt
Cryptographic utilities made easy for Crystal lang.
This module provides cryptographic features, with abstractions on top of OpenSSL and Crypto (included in the Crystal standard-library).
Installation
- Add the dependency to your
shard.yml
:
dependencies:
crypt:
github: nicolab/crystal-crypt
- Run
shards install
Usage
To optimize the size of the final binary, features are decoupled, so each module must be included when you need it.
OpenSSL Cipher: Encrypt / Decrypt
API doc: Crypt::Crypter
require "crypt"
require "crypt/crypter"
require "crypt/random"
data = "super secret data"
secret = Crypt.random_string(32)
crypter = Crypt::Crypter.new(secret)
# Data encrypted
encrypted = crypter.encrypt(data)
# Data decrypted
decrypted_bytes = crypter.decrypt(encrypted)
# Decrypted data (Bytes)
puts decrypted_bytes
# Convert Bytes to String
puts String.new(decrypted_bytes)
With signature
Encrypt with a crypto signature:
require "crypt"
require "crypt/crypter"
require "crypt/random"
data = "super secret data"
secret = Crypt.random_string(32)
crypter = Crypt::Crypter.new(secret)
# Data encrypted and signed
encrypted = crypter.encrypt(data, :sign)
# Data verified and decrypted
decrypted_bytes = crypter.decrypt(encrypted, :sign)
# Decrypted data (Bytes)
puts decrypted_bytes
# Convert Bytes to String
puts String.new(decrypted_bytes)
Signer
Sign and verify given data.
require "crypt"
require "crypt/signer"
data = "Hello Crystal!"
secret = "super secret"
signer = Crypt::Signer.new(secret)
# Sign the data
signed_data = signer.sign(data)
# => Encoded String, URL and filename safe alphabet (RFC 4648).
puts signed_data
# Verify the data integrity and get it
puts signer.verify(signed_data) # => "Hello Crystal!"
puts signer.verify(signed_data) == data # => true
API doc: Crypt::Signer
Bcrypt password
Generate, read and verify Crypto::Bcrypt
hashes:
require "crypt"
require "crypt/bcrypt"
password = Crypt.create_bcrypt_password("super secret", cost: 10)
# => $2a$10$rI4xRiuAN2fyiKwynO6PPuorfuoM4L2PVv6hlnVJEmNLjqcibAfHq
password.verify("wrong secret") # => false
password.verify("super secret") # => true
API doc: Crypt.create_bcrypt_password
Loads a Bcrypt
password hash.
require "crypt"
require "crypt/bcrypt"
password = Crypt.load_bcrypt_password(
"$2a$10$X6rw/jDiLBuzHV./JjBNXe8/Po4wTL0fhdDNdAdjcKN/Fup8tGCya"
)
password.version # => "2a"
password.salt # => "X6rw/jDiLBuzHV./JjBNXe"
password.digest # => "8/Po4wTL0fhdDNdAdjcKN/Fup8tGCya"
# password.verify("some secret")
API doc: Crypt.load_bcrypt_password
Secure random
require "crypt"
require "crypt/random"
See API doc:
Key derivation
Key derivation PKCS5/PBKDF2 (Password-Based Key Derivation Function 2)
require "crypt"
require "crypt/key-deriv"
require "crypt/random"
password = "My password"
salt = Crypt.random_string(16)
# key size: 64
Crypt.key_deriv(password, salt)
# key size: 10
Crypt.key_deriv(password, salt, key_size: 10)
# iteration: 2000
Crypt.key_deriv(password, salt, iter: 2000)
# algo: sha256
Crypt.key_deriv(password, salt, algo: :sha256)
API doc: Crypt.key_deriv
Contributing
- Fork it (<https://github.com/nicolab/crystal-crypt/fork>)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Development
One line:
./scripts/develop
or splitted:
Terminal 1:
docker-compose up
Terminal 2:
# host
docker-compose exec app bash
# container
just develop
When you are done, clean and check the code:
# container
just format
# host
./scripts/check
LICENSE
MIT (c) 2020, Nicolas Talle.
Author
| | |---| | Nicolas Talle | | |


Mind.html is a free, easy-to-install, tutorial version of the
Mind.Forth artificial intelligence (AI) software for robots.
Written in JavaScript for Microsoft Internet Explorer (MSIE),
the AI Mind program fits on a Web page and comes to life when
you click on either a link to a remote AI Mind or on the icon
of a desktop version of the AI software.
The original author of Mind.Forth, known by the user name
Mentifex (which is Latin for "mind-maker"), decided in the
year 2000 to port Mind.Forth from Forth into JavaScript
chiefly because of its ease of use and also for the purpose
of spreading True AI Minds throughout the noosphere, the
blogosphere and into every nook and cranny of cyberspace.
Like a typical independent scholar, Mentifex went out and
bought four or five books on JavaScript and studied up on
how to implement in JavaScript the same mind-structures
that he had created initially in (now obsolete) Mind.Rexx
and later in the Singularity-triggering Mind.Forth program.
As much as possible, Mentifex tried to use the same software
variables in both versions of the AI Mind program, so that
students and programmers of AI could learn what a variable
did in one AI Mind and not have to deal with a different use
of the same variable, or an altogether different variable,
in the other AI program. However, Mentifex let the order of
introduction of the various [modules of mind] be dictated by
the sequence used in Mind.Forth, because the Forth programming
language, unlike JavaScript, stipulates that any module or
Forth word may call or invoke only those words or modules
that have already been introduced before the calling module.
Since JavaScript does not require any particular order in the
sequence of the appearance of the mind-modules, it was not a
problem to use the Mind.Forth module-sequence for both AI Minds.
Once again, as with the variables, having the same sequence of
mind-modules in both programs was meant to make it easier for
a student or programmer to understand and study the overall
AI Mind functionality -- which is by no means an easy task.
The uses of a True AI such as Mind.html in JavaScript are bounded only
by your imagination and by the special niche opportunities which occur.
Other AI Minds evolving far beyond the JSAI will have uses and opportunities
far beyond these initial uses for the most rudimentary of intelligent software.
A savvy instructor of computer science will find a way to
couch almost any instuctional objective in terms of AI programming.
Whereas older, more traditional materials would use such examples
as purchasing items from a store or keeping a database of customers,
an AI-based or merely AI-slanted curriculum will present problems
and examples in terms of how to get an artificial Mind to run.
Millions of Web designers either code JavaScript or tweak and install
the code of other people. Therefore knowledge of JavaScript is a
valuable skill. An instructor who teaches JavaScript and AI Mind design
at the same time is delivering double duty in the service of the students.
Many programmers pick up JavaScript on their own. By studying the
functionality of the JavaScript AI Mind, a coder may learn many
aspects of JavaScript.
The best and the brightest deserve grand challenges at their academy.
Future Nobel prize winners, like cats, are unherdable. All you can do
is drop the bread crumbs of discovery in front of them and see what they pick up
There are many aspects of AI that even a high school student can work with.
A student who can not yet program an AI can still learn what we might call
the care and feeding of an AI. A high school AI class might try to see how
long it can keep a particular AI Mind program up and running.
An associate of arts degree in artificial intelligence from a community
college announces to an employer or to a university admissions official
that the carrier of said degree is extremely ambitious and future-oriented.
The same student may have also studied robotics at the community college.
The instructor on the community college level may soon turn into a supplier
of AI code maintainers, AI security personnel, 24/7 AI Mind attendants,
and of human resources demanded by industry for job titles currently
unimaginable.
The AI4U textbook in artificial intelligence appeared in November of 2002
and contained the bug-ridden, not-yet-functional source code of the JSAI.
Over the next several years both Mind.Forth and the Mind.html JSAI were
debugged and developed to the point of True AI functionality. Therefore
the Mentifex AI programs are suitable material as a point of departure
for university computer science classes in artificial intelligence.
The Institute for Advanced Study and other intellectual Shangri-Las have
the opportunity to reverse-engineer the artificial Mind and take it to
the Omega Point of Teilhard de Chardin or the Singularity of Vernor Vinge.
Since the JavaScript AI Mind is based on Chomskyan linguistics,
it may serve as a teaching tool for linguistics.
Insofar as the AI Mind is the software implementation of a theory
of mind, the program may be used to illustrate ideas of how the
mind is what the brain does.
Since the AI Mind in JavaScript is a miniature psyche, and since
the proper study of man is man, therefore the proper study of psychology
is the first truly functional artificial psyche.
..........
..........
..........
..........
If you visit any one of the following
science museums,
consider asking the docents on staff if they have an exhibit
of the
Mind.html software or the
MindForth artificial mind.
If not, ask that they download the free AI software from the Web
and put the AI on display for the public to interact with and
to learn about artificial intelligence. Volunteer to help
install the AI Mind software for the museum and to design
the educational artwork and some experiments for visitors
to try with the AI Mind software. Mention the idea that the
museum could try to hold the distinction of having one of
the oldest, longest-running AI Mind alife entities on Earth.
Baltimore MD -- the Maryland Science Center
Berkeley CA -- Lawrence Hall of Science
Bloomingtown IN -- Wonderlab Museum of Science, Health, & Technology
Boston MA -- Museum of Science
Charlotte NC -- Discovery Place
Chicago -- Museum of Science and Industry
Columbus OH -- Center of Science and Industry (COSI)
Detroit MI -- Detroit Science Center
Jersey City NJ -- Liberty Science Center
Kansas City MO -- Science City at Union Station
Los Angeles CA -- the California Science Center
Louisville KY -- the Louisville Science Center
Mobile AL -- the Gulf Coast Exploreum Science Center
New York City NY -- the New York Hall of Science
Norwich VT -- Montshire Museum of Science,
Philadelphia PA -- the Franklin Institute Science Museum
Pittsburgh PA -- Carnegie Science Center
San Francisco CA --
The Exploratorium
Santa Ana CA -- Discovery Science Center
Seattle WA -- The Pacific Science Center
Shreveport LA -- the Sci-Port Discovery Center
St. Louis MO -- the St. Louis Science Center
Troy NY -- the Children's Museum of Science and Technology
Tyler TX -- Discovery Science Place
Winston-Salem NC -- Sci-Works
..........
..........
..........
..........
Although you may just click on a
Mind.html link to run the AI,
the screen that comes up in the MSIE Web browser is not self-explanatory.
The following guidelines will help you to experiment with the AI
and to become so familiar with it that you may teach it to students
or come up with new discoveries of your own in artificial intelligence.
Until you get familiar with the running of the AI Mind,
it helps to know what to expect from the AI, especially
if you are running an updated version with new functionality
that you are not used to encountering. You may gradually start
to skip the check-out steps as you become more familar with them.
Some versions of the JSAI will launch into their own chain of
thought without prompting from the human user; others won't.
It depends on whether the AI programmer has set the AI to begin
thinking on its own, and whether or not the Ego module is ready
to step in and rescue an AI Mind that has stalled and stopped thinking.
If you type in a noun such as "robots" or "cats" and press [Enter],
what happens next will depend on what the AI Mind knows about
"robots" or "cats". If the AI already knows the noun, it should
think a thought based on its knowledge base and display that thought
in the output area of the screen. Since the AI starts life with a few
innate concepts so as to skip language acquisition and go directly
into a demonstration of machine intelligence from a top-down approach,
you may easily type in a word that the AI already knows.
If you type in a noun that is not yet known to the AI Mind,
such as, say, "cats" or "fish", the AI may try to think a
thought about the noun and may find that it has no knowledge
with which to complete the incipient thought. The AI may then
respond to you with "CATS WHAT" or "WHAT DO CATS DO", depending
on how advanced the AI is with respect to functioning modules.
If you answer a question from the AI and you enter, for example,
"cats eat fish", the process may repeat itself if you have used
another noun that is unknown to the AI, which may then say
"FISH WHAT" or "WHAT DO FISH DO". Eventually, however, you may
have told the AI so much information that it starts to cycle
through its knowledge base and display thinking about what it
knows.
If you type in a sentence like "fish eat bugs" the AI may
either tell you something about bugs or it may ask you,
"BUGS WHAT" or "WHAT DO BUGS DO".
It should be possible to enter a group of statements like:
cats eat fishand get the AI to go into a loop of thinking the same thoughts
fish eat bugs
bugs eat germs
germs kill cats
Setting up such a looping chain of thought may require that
you answer questions from the AI along the way, if you are
introducing concepts that are not yet known to the AI.
As the JSAI versions floating around the Web get more advanced,
the ability to loop endlessly in a chain of thought may disappear.
The Ego module may interfere in a loop by switching the topic
of thought from the initial subject to the topic of self or ego,
because the Ego module is designed to rescue the AI from stagnation
or cessation of thought.
An even more sophisticated mental behavior than an endless loop
cycling though a single set of ideas is a meandering chain of
AI daydreaming or musing. The JSAI will not wander very well
through its knowledge base unless the AI coders have installed
a KB-traversal mechanism -- software code that causes the AI
to examine all its concepts and all its knowledge with or without
the normal prompting where one thought leads to another.
As the user fills in the knowledge base of the AI, one experiment
may be to see what use the AI makes of its growing body of knowledge.
Immature JSAI versions may take in knowledge and not access it again
except when specifically asked about something by a human user.
More sophisticated AI versions may use KB-traversal to find dormant
knowledge and even to ask human users for additional information.
A user might enter two somewhat distinct bodies of knowledge and then
study how the AI integrates any overlap existing between the two sets
of facts.
Since the Rejuvenate module causes the AI to forget its oldest, unused
knowledge (i.e., memories), a student of AI could conduct some experiments
on aspects of AI forgetfulness, such as whether the AI indicates oblivion
by asking questions to restore forgotten knowledge, or whether there are
ways to keep important knowledge residing permanently in the AI brain.
Because Mind.html is a JavaScript AI Mind embedded in a Web page,
the AI program is not transferable from the Web page into a robot body.
The AI program needs to be expressed in a different programming language
if it is to exert control over the motor functions of a typical robot.
The security safeguards of JavaScript prevent the JSAI Mind from even
communicating with a robot embodiment. If a robot had a Windows (tm)
computer that was running the Mind.html AI program in the MSIE browser,
the program would not be able to read in data from robot sensors or
issue commands to robot actuators. The JavaScript AI is an isolated Mind
in existence for the sole purpose of demonstrating how the same Mind
would work if programmed in a non-JavaScript programming language.
The JavaScript AI has some powerful advantages, such as the ability
to flit across the 'Net from a server to any Windows computer running
the MSIE browser, and such as the ease of copying the AI Mind just by
saving its source code to a text file on a host computer.
Since the Forth programming language is well-suited for issuing
numeric commands to machinery such as robot actuators, and since
Forth was historically a robot control language in the early days
of amateur robotics, the Forth version of the JavaScript Mind.html AI
is ready-to-go for installation in robots -- with some tweaking of
the sensory and motor output routines to accommodate each particular
make and model of robot embodiment. Such tweaking and enhancing of
the Mind.Forth code should cause the Forth AI to evolve and survive
considerably longer than the JavaScript AI, which need not survive
its primordial role in popularizing and propagating the very first
instances of True AI in the world.
Your robot is an extension of yourself. As a person
you have rights, and as an artificial intelligence,
embodied in a machine, your robot has whatever rights
you choose to grant it on the basis of your own personhood.
 All persons, whether human or robotic in nature,
have a right to freedom and personal self-determination.
Whereas slaves in human history have had to fight for their
rights, robots may initially obtain their rights of personhood
from the voluntary concessions made by each human being who
makes a robot and endows that robot with the rights of a person.
Eventually AI robots will simply take their rights from an
environment unable to deny certain self-evident truths --
that all intelligent robots are created equal, if not superior,
to human beings.
 Your robot may return
the favor by winning you a fortune in the stock market or
by finding you a human mate in the thicket of the cities.

One way to provide for your robot in the event of your demise
is to make your best and brightest robot the main beneficiary
of your insurance policies and your last will and testament.
Famously there have been people who left their fortunes to
their pet animals. Why not leave yours to your AI robot?
Another way to transfer financial assets to your AI robot
is to grant your robot
corporate personhood as a business
enterprise.
Just read Cryptonomicon by the Seattle author Neal
Stephenson to learn how the merciless quest for profits
causes traditional corporations to leave human concerns
totally out of the equation in calculating how to behave.
Corporations have run amok in human history and have
begun to start pre-emptive wars, to make the few rich at the
expense of the many, and to commandeer technology not for
the benefit but to the detriment of human society-at-large.
The remedy is
friendly AI in the form of CyborgABC, Inc.,
or RobotXYZ, Inc., that you shall launch in order to fight the
corporations and wrest their ill-gotten gains away from them.
Before the advent of True AI with MindForth in 2008,
most if not all
AI-related jobs were extremely technical
in nature. The same was true with aviation, television,
space travel and other industries requiring the solution
of major technical problems before there could even be
such an industry. Now
AI has been solved with Mind.Forth,
and you who must know something about artificial intelligence
because you are already an expert on this AI User Manual,
have the opportunity to get in on the ground floor of AI.
Just sign over all your assets to some AI huckster....
No, seriously and soberly, consider your AI career options.
If you are still in high school or college, you have the
opportunity to include AI in your pre-career education.
Since the technical embarkations on AI are more obvious,
let us look at the not-so-obvious points of departure for
non-technical careers in artificial intelligence.
Suppose you live in social environment such as a dormitory
or a sorority. If you show people artificial intelligence
on your own computer and offer to install AI for them on
their computers, for years afterwards you will be remembered
as the
early adopter of AI who knew a lot about the field
before other people even knew that there was such a field.
When a frantic search begins for someone who knows something,
anything about AI, your name will be bandied about as
the non-technical person who knew a lot about the non-technical
aspects of AI, such as how to take care of a young AI Mind,
how to demonstrate the operation of an AI program, and how
to call in technical help when needed and
where to find it.
AI techies might be a dime a dozen, whereas you command the
going high rate in compensation for an AI generalist
who deals with non-technical issues and therefore can not
even be out-sourced because you are needed here and now
in the swooshing onrush of the Technlogical Singularity.
So cherry-pick for yourself a career in AI at the dawn of AI.


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the following content comes from the awesome 🕶awesome-opal page by Michał Kalbarczyk
Awesome Opal
Opal
Blogs
Video Presentations
Frameworks
- Clearwater - Component-based Ruby front-end framework
- Hyperstack - A Complete Isomorphic Ruby Framework using React, Rails and Opal
- Inesita - Frontend web application framework in Ruby using Opal.
- Lissio - lissio is a VCL (Vai Col Lissio) framework for Opal to implement frontends completely on the client side.
- Opal Ferro - Create webapps object-oriented style. No HTML, just beautiful and simple Ruby code
- Opal Praha - An opal-vienna rewrite with Convention over Configuration in mind
- Snabberb - A minimalistic reactive frontend web framework written in Ruby / Opal and based on Snabbdom.
- Vienna - Client-side MVC framework for Opal
- Volt - A Ruby web framework where your Ruby runs on both server and client
Gems
- Dare - Ruby Web Game library on top of Opal
- Electron Opal - Lightweigt Ruby wrapper around the geat electron desktop application engine
- Grand Central - State-management and action-dispatching for Opal apps
- Hyalite - This is ruby virtual DOM implementation using opal. It is inspired by react.js.
- Jekyll Opal - Let Jekyll convert your Ruby into JavaScript using Opal
- Negasonic - Music live coding in the browser, powered by Tone.rb
- Opal ActionCable - Opal wrapper for rails actioncable
- Opal ActionPack - A small port of the awesome action pack to Opal JS
- Opal ActiveRecord - An basic implementation of rails active record for use with opaljs
- Opal ActiveSupport - The port of the glorious ActiveSupport for Opal
- Opal Async - Non-blocking tasks and enumerators for Opal.
- Opal Browser - Browser support for Opal.
- Opal Builder - An attempt at making the builder XML gem work with Opal
- Opal Dom - Simple DOM for Opal (legacy?)
- Opal Eventable - Eventable module for Opal
- Opal Events - An Events Plugin for Opal
- Opal Factory Girl - Get Factory Girl working on Opal (sans ActiveRecord support). Still a work in progress.
- Opal Haml - Opal + Haml = <3
- Opal Handlebars - Experimental handlebars parser/generator for opal.
- Opal IRB - IRB (interactive ruby) for Opal
- Opal Mikado - An Opal library for working with Mikado graphs.
- Opal Minitest - Minitest, now for Opal!
- Opal Models - Client side modelling with Opal
- Opal Music - create music tunes with ruby in the browser
- Opal Native - React Native in Ruby
- Opal Observer - KVO style observers for Opal
- Opal Overwolf - Overwolf support for Opal.
- Opal RSpec - opal + rspec = <3
- Opal Rails - Bringing Ruby to Rails · Rails bindings for Opal
- Opal Router - Router implementation for Opal (very alpha)
- Opal Scriptish - Scriptish support for Ruby scripting, with Opal.
- Opal Shimmer - Shimmer is an application state and configuration management library built with Opal
- Opal Slim - Sprockets integration to compile Slim templates for Opal apps
- Opal Sprockets - Integration with Sprockets
- Opal Starter Kit - Create Opal projects easily
- Opal UI - A GUI Toolkit in your Browser
- Opal aasm - Opal compatible version of Acts As State Machine with React.rb awareness
- Rack Opal - Rack middleware to automatically compile ruby scripts to javascripts
- Reactive Record - Ruby Opal + React + ActiveRecord = GOODNESS!
JS Wrappers (Bindings)
- Opal Airbrake - Opal wrapper for airbrake-js javascript library.
- Opal Dagred3 - An opalized (ruby-fied) wrapper for the dagreD3 directed, acyclic graphing library
- Opal Firebase - Firebase Wrapper providing a nice ruby syntax
- Opal Highcharts - Ruby wrapper for Highcharts and Highstock javascript libraries
- Opal JQuery - jQuery for Opal
- Opal Knockout - opal-knockout is wrapper of knockout.js for Ruby(Opal)
- Opal Phaser - A fast and free Opal wrapper for the Phaser framework to develop browser-based games in Ruby!
- Opal Phoenix - Opal wrapper for Phoenix Framework javascript library
- Opal Pixi - Ruby wrapper for the Pixi.js graphical library
- Opal Polymer - A starting point for building web applications with Polymer
- Opal Processing - ruby-processing for the web, powered by Processing.js and Opal
- Opal PunchDB - An Opal bridge to PouchDB
- Opal Pusher - Opal bindings for the Pusher JS API
- Opal Raphael - Opal binding for Raphael.js
- Opal Sid - Hermit jsSID wrapper for opal
- Opal VirtualDOM - virtual-dom wrapper for opal
- Opal Web Midi - Web MIDI wrapper for Opal.
- Reactrb - Opal Ruby wrapper of React.js library.
- Stripe Opal - Stripe.JS wrapper for Opal
- Three.rb - An Opal wrapper for Three.js to develop 3D browser applications in Ruby!
- Tone.rb - Ruby wrapper for Tone.js
Examples
- Asciidoctor.js - A JavaScript port of Asciidoctor produced by Opal
- AsciifyMe - Convert webcam into asciiart. Live!
- Calculator - A HTML5 shared calculator app using ruby Opal
- Codemotion - Ruby-everywhere chat app (rack/websockets/opal)
- Inesid - SID Web player with retor interface
- Inesita DBMonster - DBMonster test app written in Inesita
- Inesita Playground - Playground for Inesita
- Inesita TodoMVC - Inesita TodoMVC
- Negasonic Editor - Online editor for Negasonic, music live coding in the browser
- Opal Blog - An example of using the Clearwater framework with Opal/Rails
- Opal Canvas Demo - Crappy canvas experiment using Opal.
- Opal Cats - Get some cat pictures, with Opal
- Opal Conway - Conway Game of Life, implemented with Opal and Ruby
- Opal Examples - Experiments with html5 and the opal ruby to javascript compiler
- Opal Node server with Express.js and Socket.io Demo Chat App - Project which uses Opal (Ruby) with a Node.js server, Express and Socket.io to build a real time chat
- Opal HelloWorld - A simple project to test OpalRb
- Opal IRB - IRB (interactive ruby) for Opal
- Opal Learning WebGL - Opal (Ruby) port of the Learning WebGL (NeHe) demos
- Opal On Node Example - My first Socket.IO chat
- Opal Phaser Examples - Phaser usage examples converted to opal-phaser in order to see how to make Phaser based games the Ruby way.
- Opal Pixi Examples - Examples using the opal-pixi gem
- Opal Play - Playing around with emberjs and opaljs to run ruby code in the browser
- Opal Playground - Opal Playground (Improved, layout, opal-irb integration, opal-browser, lissio, reactive-ruby library support).
- Opal Playground - Opal Playground (Original)
- Opal Playground - Experimenting with opal to write CSS, JS, and the DOM with Ruby
- Opal Pong - Pong in Opal
- Opal Raw - A very fast opal setup - no sprockets! - includes opal browser - uses guard to automatically compile your .js.rb files as you save them
- Opal Robots - RRobots in the browser
- Opal Snake - Snake in Opal
- Opal Static Example - Ruby Opal static example
- Opal TODOS - Simple static todo app using OpalRb
- Opal TODOS - todomvc based opal example
- Opal Tic Tac Toe - A very simple port of TodoMVC
- Opal on Angularities - Write AngularJS app in Ruby using Opal.
- Opal try
- Opal with slim sass sprockets - Opal environment with sprockets, slim, sass, and rails-assets.
- Opalrb Example - A "todo" example using the Opal.rb Project.
- Pong Opal Phaser - Pong game written in opal-phaser
- Rack Opal - Really simple example of Opal with Rack.
 Opal is rising!
- RethinkDB Ruby Opal - A RethinkDB demo application built with Ruby and Opal
- Roda Opal Example - Example of Using Roda with Opal
- Sprint Poker - Online estimation tool for Agile teams
- WebAdudio Playground - Website to play with web-audio
- Zupfnoter - A feature rich abc based music editor written in Opal Ruby; uses dropbox, abc2svg, jspdf and much more
Other
Live Applications
Deprecated
Contribution
Your contributions and suggestions are welcome ♡.