JsSpeechRecognizer - Keyword Spotting
JavaScript Speech Recognition Keyword Spotting Demo
JsSpeechRecognizer github page
- Train the keyword you would like to spot many times.
- Test by pressing start testing. Say the keyword you trained.
- For more detailed instructions, click here.


ARIA A film review by Daniel M. Rosenberg Copyright 1988 Daniel M. Rosenberg
ARIA A mini film review by Daniel M. Rosenberg
Directors: various (10 of them) Music: various (10 of them)
This film isn't going to be widely realeased, and that's too bad. It's rated X, or rated such that "No one under 17 will be admitted," and this is the kind of film that rated X was meant for. Stuff like GRENDEL DOES THE GREEN BAY PACKERS should have its own rating.
ARIA is ten, loosely linked segments, each with a different director and a different musical score. Verdi, Puccini, and Wagner are in there a lot. Almost all of the segments are shot on location, from a weightlifting room in Paris to the Madonna Motel in San Luis Obispo, California. Each segment is the director's interpretation of an opera piece.
Some of the segments are *really* fantastic. The "Tristan and Isolde" starts with a young couple driving through an Arizon desertscape into Las Vegas, and it's simply beautiful. They drive down the strip, we see the old ladies at the slot machines, the odd people on the street, the wedding chapels, and the motel room.
In Jean-Luc Godard's segment, two young cleaning women in a Paris gym are ignored by muscle-bound Narcissuses. It's *hilarious*.
The idea behind the whole thing -- show modern people what opera felt like to the contemporaries of the composers -- is really executed well. Usually, I hate opera; for once, I loved it.
Released nationally, but mostly in artsy places like the Varsity in Palo Alto, CA. +3 on the -4 to 4 scale.
-- ## Daniel M. Rosenberg /////// CSLI/Stanford //////////////// +1<PHONE_NUMBER> ## INTERNET<EMAIL_ADDRESS>//////////// UUCP: {ucbvax, decvax}!csli!dmr
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Often, your personal computer is connected to the Internet through a modem. This modem takes the outgoing packets from all the machines connected to it and set the source address to a single value (such as "Home"). Incoming packets are then mapped back to the original machines. Pause the simulation and look at the packet information before and after it passes through the modem.
To pass this level, send a ping request from Alice's computer to Google.
Remember: ping packets have a transport layer header called proto with the value ICMP


{% extends "layout.html" %} {% block page_title %} Contact the Ministry of Justice {% endblock %} {% block content %} What is your complaint about? a Ministry of Justice service a dispute with a neighbour other What is your complaint about? {% endblock %}


class Failure : Try<Nothing>
| <init> |
Failure(exception: Exception) |
| exception |
val exception: Exception |
| value |
val value: Nothing |
| isFailure |
val isFailure: Boolean |
| isSuccess |
val isSuccess: Boolean |
| component1 |
operator fun component1(): T? |
| component2 |
operator fun component2(): Exception? |
| ifFailure |
fun ifFailure(right: (Exception) -> Unit): Try<T> |
| not |
operator fun not(): Boolean |
| throwIfFailure |
fun throwIfFailure(): Try<T> |
| toEither |
fun toEither(): Either<T, Exception> |
| toOption |
fun toOption(): Option<T> |


{% if login %}
Welcome back, {{name}}!
Networkr is in development. Come back later for more content!
{% elif registration %}
Registration successful. Welcome, {{name}}!
Networkr is in development. Come back later for more content!
{% elif link %}
Account link successful. Welcome back, {{name}}!
Networkr is in development. Come back later for more content!
{% else %}
Unkown account access event, should never get here
{% endif %}
Log Out


{{ define "main" }}
Thanks for visiting my blog. You can also find me on Instagram sometimes, and LinkedIn even less.


#include <LocationListener.h>
Inheritance diagram for WFAPI::LocationListener:
Public Member Functions | |
| LocationListener () | |
| virtual | ~LocationListener () |
| virtual void | areaUpdate (const AreaUpdateInformation &areaUpdateInformation)=0 |
| virtual void | locationUpdate (const LocationUpdateInformation &locationUpdate)=0 |
| virtual void | startedLbs ()=0 |
Create a subclass and implement the callbacks and add a subclass object to the LocationInterface to start getting position update callbacks.
The error function, declared in the super class Listener, will be called for all errors that occur . The status code can be either from the StatusCode enumeration or from LocationStatusCode enumeration.
| WFAPI::LocationListener::LocationListener | ( | ) |
Constructor with no arguments.
| virtual WFAPI::LocationListener::~LocationListener | ( | ) | [virtual] |
Destructor.
| virtual void WFAPI::LocationListener::areaUpdate | ( | const AreaUpdateInformation & | areaUpdateInformation | ) | [pure virtual] |
Called when a location update with an area location is received.
| areaUpdateInformation | The AreaUpdateInformation. |
| virtual void WFAPI::LocationListener::locationUpdate | ( | const LocationUpdateInformation & | locationUpdate | ) | [pure virtual] |
Called when a location update with a point location is received.
| locationUpdate | The LocationUpdateInformation. |
| virtual void WFAPI::LocationListener::startedLbs | ( | ) | [pure virtual] |
Called when the LBS has started.


Have you ever felt you are losing too much time in traffic?  Most drivers have had such thoughts. And if you live in a large city, you may relate to this funny scene from “Office Space”:
In this post, we will present a mathematical model of traffic congestion and explain why it happens using this model. Afterwards, we will analyze the effects of a recently emerging and popular technology, autonomous cars, on traffic congestion. As we showed in our WAFR 2018 paper, “Altruistic Autonomy: Beating Congestion on Shared Roads”, autonomous cars have the potential of significantly reducing traffic congestion!
Background
Mathematical Model of Traffic
Decades ago, researchers came up with a beautiful model of traffic, and they called it Fundamental Diagram of Traffic (FDT). While it has several similar forms, the triangular model is widely adopted since it allows analytical investigation. The triangular model plots flow (the number of cars per second going through a point on the road) versus density (the number of cars per meter over some stretch of the road at any given second):
Note the rising edge on the left (blue) and the falling edge on the right (brown). The rising edge represents the state of free-flow, where all cars can go with the maximum legally allowed speed. Imagine there is only a single car on the highway -- it would just go with the maximum speed. But, both traffic density and flow would be low, because after all it is just one car!
If we add a second car, they will still go with the maximum speed. Both density and flow will be doubled. However, we cannot just keep inserting new cars and expect them to go with the maximum speed. There is a rule: all drivers have to keep a distance of 2 seconds with the car in the front (so that they can respond in time in case the car in front unexpectedly brakes). Hence, at some point while inserting cars to the road, drivers will have to slow down or otherwise cars cannot fit to road. This is where we transition from the rising edge of the triangle to the falling edge, which represents the congested region. While the car density keeps increasing, the flow will now decrease because all cars are slowing down. This is shown by the second important plot of model, that of latency (the time it takes to travel from one point to another on the road) vs flow:
In the free-flow regime, latency is constant, since all cars are going with the maximum speed. However, as we increase density and move to the congested region, it rapidly increases.
Routing Problem
In its simplest form, the routing problem asks the following question: How do we allocate a given traffic flow (into N parallel roads) such that the total latency is minimized?
It may be confusing that we are given a traffic flow, not a traffic density. Although this might sound unintuitive, it becomes more and more sensible when you think about it: Would you enforce a constraint that states “there will be 500 cars on this road”, or a constraint “there will be 500 cars who want to go from point A to point B between 5pm and 6pm”? The latter one is more natural, and so used in the routing problem. We also simplify the traffic network as N parallel roads, which enables more mathematical analysis by ensuring we can use single density, flow and latency values for one road without any partitioning.
Nash Equilibria
Now, we can state the main cause of traffic congestion (and perhaps many other problems in the world): Humans are selfish. Imagine you live in Los Angeles, and want to go from Beverly Hills to the Valley. The shortest path you could take is Coldwater, which would normally take 25 minutes. The second best alternative is to take the highway 405, which would take 30 minutes. But it is Friday afternoon, so both Coldwater and 405 are congested and will take, say, 32 minutes. The other best alternative is to take Laurel, which is free of congestion. However, that road is long and the maximum speed is low, so it would already take 35 minutes.
 But, you are not alone -- everybody does the same thing. Now sit back and think for a while: When you decide taking Coldwater, it was already congested. In other words, there were lots of cars taking that road. After you and many others decide to take it because it is 3 minutes faster for you, the road became even more congested - and will now take 34 minutes. It is still better than Laurel, isn’t it? If you (and others who made the same decision as you) had taken Laurel, you would have lost a few minutes, but hundreds of cars on Coldwater would have enjoyed a few minutes less travel time. You, along with many others, basically caused social bad, for your own good.
Well, we don’t blame you. This is Nash equilibrium (NE), where no car is willing to change the road it took, and you did what you are expected to do! As long as a road is faster than the others, people will choose to take it. So what’s the problem? The problem is Nash equilibrium is not unique and some of those equilibria can be really bad.
If you look at these two flow-latency plots (note that each plot has the model of all three roads), you will see two different configurations. The crosses represent the state of the road. Both configurations are a Nash equilibrium, because all used roads have the same latency level, i.e. no drivers would benefit from changing the road they are taking. The surprising point is that they are both a solution to the [same]{.underline} routing problem -- the total flow in both configurations are exactly the same! However, in the second configuration drivers experience a much higher latency. With more complex and crowded networks, things can be unboundedly worse.
Best Nash Equilibrium
Among the Nash equilibria, which one or ones are the best? And what’s the criteria for being better than the others? You guessed it! The best Nash equilibria (BNE) are the ones that minimize the latency experienced by all drivers. So for example, in the previous figure, the first NE is better than the second one. Could it be better? Yes! In fact, we showed that in the BNE, one road has to be in free-flow1, because otherwise we could just decrease the latency to the next highest free-flow latency road’s free-flow latency, and then easily adjust the flow values to match with the demand.
So, what’s special about autonomous cars?
We said drivers have to keep a distance of 2 seconds, and it is because we need 2 seconds for our reflexes to, for example, brake. Autonomous cars do not suffer from this limitation. Of course, they still need some time, but it is around 1 second for autonomous cars, maybe even less.
This brings about an interesting question: What happens to the FDT when all cars on the road are autonomous? What if we have a fixed ratio of autonomous and human-driven cars (we will call this ratio autonomy level)? We analyzed this and came up with the following modification:
So what happens is the critical density, the highest density where all cars can move with the maximum speed, increases. This also increases the maximum flow. However, the maximum density (a.k.a. jam density) does not change, because that point represents bumper-to-bumper traffic and it just depends on the lengths of the cars, not the headway. By increasing autonomy level, we basically move from the old FDT to the new one.
Robustness
The presence of autonomous cars has another important effect on the mathematical model of traffic. Since we can alter the autonomy levels of each road, we can have several BNE. So, which is the best among many BNEs? This sounds a little weird, because we know that all BNEs have the same latency level. So, we introduce a secondary metric: robustness.
In the routing problem, we assume we are given a flow demand. However, in real world, how possible is it to know the demand precisely? A small amount of unpredicted demand can be catastrophic and can lead to significant (in fact, unbounded) latency increase. Hence, we define the robustness as follows: A configuration is more robust than the other if it can allocate more extra flow demand with the same autonomy level, without increasing the latency. And this maximum extra flow demand is the quantization of the robustness. For example, in the BNE example above, the robustness value is the unused flow capacity of 405.
Then we define Robust Best Nash Equilibrium (RBNE) as the BNE that maximizes robustness. RBNE, too, is not necessarily unique.
For example, in the configuration above, the BNE at right is more robust, In fact, it is an RBNE. Because the 405 benefits more from autonomy than the Coldwater. Hence, a social planner can make the routing more robust to unforeseen demand by routing all autonomous traffic onto the 405.
Altruistic Autonomy
We said selfishness of humans is an essential cause of traffic congestion. The introduction of autonomy opens a new possibility: Can we have altruistic autonomous cars? Altruism can be obtained in several ways. For example, public transportation services can be altruistic -- buses can choose to take the longer route for the social good. Or ride-sharing services, e.g. Lyft or Uber, can offer lower prices to the customers in the cost of taking the longer route. When autonomous cars will be available for such services, these options could be further elaborated.
With this motivation, we define a mathematical altruism profile, which basically defines what portion of the autonomous cars accept what factor of altruism. For example, if 10% of the autonomous cars accept an altruism level of 1.5; this means one in every 10 autonomous vehicles accepts reaching its destination 1.5 times slower than the other -selfish- vehicles. This can greatly increase social utility. We define Best Altruistic Nash Equilibrium (BANE) to be the lowest total latency routing, given the altruism profile.
As you can see from the above figure, when a modest portion of the autonomous cars are altruistic, it is possible for majority of the cars to use the shortest route without causing congestion. This can significantly (in fact, unboundedly) decrease the total latency.
Mathematical and Algorithmic Contributions
Other than modeling the FDT with autonomy and analyzing several different NE, we presented algorithms in the paper that enables finding BNE, RBNE and BANE (with any altruism profile and autonomy level) in polynomial time. Our formulations are based on convex optimization, and can be very efficiently solved. For brevity, we do not give the full details in this blog post and refer to the paper.
Simulations and Results
We used SUMO traffic simulation package to simulate the roads with different autonomy level and altruism profile. We first evaluated our FDT model accuracy.
In the figure above, the black lines represent the theoretical values. While the simulation results and the theoretical values generally match, there is a small difference with increasing autonomy, which is because of the system imperfections in the simulator, such as the road shape and discretization.
In another experiment, we assessed how much gain we could expect from RBNE and BANE. We have seen that RBNE halves the total latency compared to a NE, and BANE can half it again! This means, with BANE, people can reach their destination in around 2 minutes, whereas they experience a latency above 8 minutes with the given NE. In fact, we showed that the improvement of BNE (or RBNE) over NE, and BANE over BNE can be unboundedly large!
We also explored the effect of altruism level on a simple scenario where all autonomous cars have the same altruism level. In the heat-map below, colors represent the overall latency (black shows infeasibility), $\bar{x}$ and $\bar{y}$ denote the total regular and autonomous flow demand, respectively. And $\kappa_{0}$ is the common altruism factor. This first map has completely discrete latencies, as it has no altruism. With increasing altruism, the overall latency decreases and the insertion of extra cars does not hurt much.
Lastly, we have prepared a video that shows the improvements led by our equilibrium definitions. In this scenario, there are 4 roads between two points. Each road is shown as a single lane and we present the latency values in the video below.
Future Directions
In this post, we defined several important notions for traffic networks under mixed autonomy. We also presented algorithms for computing several different equilibria in the paper. For practical purposes, the following questions warrant further research:
-
How can we use autonomy to move between equilibria?
-
How can we build incentives for altruism?
-
How can we use autonomy to deal with traffic disturbances such as accidents, closed lanes/bottlenecks, etc.?
-
How does the results of this work extend to more general network topologies?
Hopefully, we can manage to tackle these further questions, and we shall all suffer slightly less from the stress caused by congested traffic.
References
Altruistic Autonomy: Beating Congestion on Shared Roads. E. Bıyık*, D.A. Lazar*, R. Pedarsani, D. Sadigh. 13th International Workshop on Algorithmic Foundations of Robotics (WAFR), December 2018
-
We assume no two roads are identical, otherwise the number of free-flow roads could be more than one. Also note that this statement is not bidirectional, i.e. having one road in free-flow does not guarantee that it is a BNE. ↩


Bean Scopes
- singleton
- prototype
- request - only in web based contexts
- session - only in web based contexts
- global session - only in web based contexts
- application - only in web based contexts
- thread - custom scope, not registerd
- custom scopes
Bean Scopes


CUBERING
atmospheric electronic music
Contact
Listen
Cubering is an electronic music producer from Moscow
Discography
22:22
SOMA
BIORHYTHM
DEFOLIATION
LABELS
Microcosmos Records
Mindspring music
Uxmal Records
ON AIR
LastFM
Soundcloud
Vk.com


Engine Connector Interface 1 (ECI1) is an interface for mediate communication of some information between scripting engines and plug-ins.
Scripting engines pass an object implementing this interface to arguments of initialization/finalization methods of plug-ins.
The status of this interface is "FINALIZED".
The specification of this interface had been finalized at 2022/08/31. No modifications will be applied for this interface, excluding documents/comments.
This interface is currently supported by the scripting engine of Vnano. You can use this interface for development of plug-ins of applications equipped with the Vnano engine.
This interface is published under CC0, which is almost the same as the so-called "copyright-free" (domain).
| Name | INTERFACE_TYPE_ID |
|---|---|
| Value | The type ID of this interface (value: "ECI") referred when the plug-in will be loaded. |
| Type | static final String |
| Name | INTERFACE_GENERATION |
|---|---|
| Value | The generation of this interface (value: "1"). |
| Type | static final String |
| Name | hasOptionValue |
|---|---|
| Signature | boolean hasOptionValue(String optionName) |
| Description | Returns whether the engine has the value of the option with the specified name. |
| Parameters | optionName: The name of the option. |
| Return | Returns true if the engine has the value of the specified option. |
| Exception | None |
| Name | getOptionValue |
|---|---|
| Signature | Object getOptionValue(String optionName) |
| Description |
Gets the value of the specified option. Before calling this method, check that the value of the specified option exists and is accessible, by hasOptionValue(String optionName) method. |
| Parameters | optionName: The name of the option. |
| Return | The value of the specified option. |
| Exception | ConnectorFatalException (Unchecked): Thrown when the value of the specified option does not exist, or is not accessible. |
| Name | requestPermission |
|---|---|
| Signature | void requestPermission(String permissionName, Object requester, Object metaInformation) throws ConnectorException |
| Description |
Requests the specified permission. If the requested permission is allowed, nothing will occur. On the other hand, when the requested permission has been denied, this method throws a ConnectorException. Whether the request will be allowed or denied depends on settings of an application, or decision of its user. Hence, in principle, it is necessary to assume that any request may be denied. So it requires to catch (or rethrow) the exception explicitly. |
| Parameters |
permissionName: The name of the permission item to request.
requester: The plug-in requesting the permission. metaInformation: The information to be notified to the user (especially when the current value of the permission is set to "ASK"). |
| Return | None |
| Exception | ConnectorException: Thrown when the requested permission has been denied. |
| Name | isOtherEngineConnectorAvailable |
|---|---|
| Signature | boolean isOtherEngineConnectorAvailable(Class<?> engineConnectorClass) |
| Description | Returns whether the other type of engine connector is available. |
| Parameters | engineConnectorClass: The class of the engine connector you want to use. |
| Return | Returns true if the specified engine connector is available. |
| Exception | None |
| Name | getOtherEngineConnector |
|---|---|
| Signature | <T> T getOtherEngineConnector(Class<T> engineConnectorClass) |
| Description |
Gets the other type of engine connector. Before calling this method, check that the specified type of the engine connector is available, by isOtherEngineConnectorAvailable(Class<?> engineConnectorClass) method. |
| Parameters | engineConnectorClass: The class of the engine connector you want to use. |
| Return | The specified type of engine connector. |
| Exception | ConnectorFatalException (Unchecked): Thrown if the specified engine connector is not available. |


BEAUTY AND THE BEAST (1991)
A Film Review by James Berardinelli
RATING: **** OUT OF ****
United States, 1991 U.S. Release Date: 11/22/91 (wide) Running Length: 1:24 MPAA Classification: G Theatrical Aspect Ratio: 1.66:1
Featuring the voices of: Paige O'Hara, Robby Benson, Jerry Orbach, David Ogden Stiers, Angela Lansbury, Richard White, Jesse Corti, Bradley Michael Pierce, Rex Everhart Directors: Gary Trousdale and Kirk Wise Producer: Don Hahn Screenplay: Linda Woolverton Music: Alan Menken Lyrics: Howard Ashman U.S. Distributor: Walt Disney Pictures
Walt Disney's 1991 instant classic, BEAUTY AND THE BEAST, is not only the finest animated movie ever made, but deserves a prominent position on any list of all-time greats. Although not the highest grossing Disney production, nor the best-remembered by most kids (those honors go to THE LION KING), BEAUTY AND THE BEAST nevertheless earned the most enthusiastic notices ever by the critics and was recognized with a Best Picture Oscar nomination (considering the weak competition, it deserved to win the award). The studio knew early in development that it had a winner. In an unprecedented move, Disney screened a 70% complete work print to a packed auditorium at the 1991 New York Film Festival months before the movie was finished. The astounding reception helped to build a sense of anticipation that was unrivaled since the days of SNOW WHITE AND THE SEVEN DWARVES.
"Irresistible" is an apt description of this film, because every frame is imbued with a magic that is rare for any motion picture, animated or otherwise. In the past, I have been known to criticize Disney from time-to-time, but not on this occasion. BEAUTY AND THE BEAST is a triumph of artistry – a rare movie where all of the elements gel perfectly. It has set the standard for today's animated motion picture, improving upon THE LITTLE MERMAID and establishing a level that no subsequent animated film has equaled.
The tale told by BEAUTY AND THE BEAST is an old one, dating back centuries prior to the version penned by Jeanne-Marie Leprince de Beaumont, upon which screenwriter Linda Woolverton based this script. Understandably, the people at Disney have added their own spin by changing certain plot details, modernizing Belle's character (she's a feminist), and adding a gallery of talking objects. In the Beast's ensorcelled castle, everything has a voice: candlesticks, clocks, pots, cups, wardrobes, and feather dusters. The film makers obviously took their inspiration for this from Jean Cocteau's classic 1946 adaptation, where, although the objects in the castle did not sing or frolic, there was a pervasive sense of enchantment. Watch that film, then watch this one -- the stylistic similarities, especially in the look and feel of the castle, are impossible to miss.
Belle (voice of Paige O'Hara) is the most beautiful girl in a provincial town in France. Unfortunately for those who might want her as a wife, including the dim, narcissistic Gaston (Richard White), she's also one of the village's oddest denizens. She keeps to herself, helping her inventor father, Maurice (Rex Everhart), with his contraptions, and, in her spare time, devouring books. She has read just about everything available in the town, and eagerly awaits the arrival of anything new. Every time she ventures outdoors, she draws stares and snickers, but, despite her strangeness, Gaston is determined to marry her.
Then, one fateful day, her father disappears in the forest. Belle goes searching for him and stumbles upon a dark and scary castle. Venturing inside, she discovers a gallery of magical creatures – regular household objects that speak and move. There's Lumiere (Jerry Orbach), a candlestick with impeccable manners and an voice that recalls Maurice Chevalier; Cogsworth (David Ogden Stiers), a clock with a high impression of himself and his role in the castle; Mrs. Potts (Angela Lansbury), a grandmotherly tea pot; and many others. Then there's the Beast (Robby Benson), the terrifying creature who rules over this domain and holds Maurice captive. Once a handsome prince, he has been cursed to remain a beast until he finds someone who truly loves him in spite of his appearance. Now, he is filled with equal parts hope and dread at Belle's arrival -- hope that she might be "the one" to break the spell, and dread that she might be repulsed by his ugliness. Nevertheless, he agrees to release her father if she accedes to being his permanent guest. She makes the bargain, Maurice is set free, and she is trapped. In time, however, Belle discovers that life in the castle is not as dreadful as it initially seems.
As a romance, BEAUTY AND THE BEAST is a delightful confection, creating a pair of memorable, three-dimensional characters and giving us reason to root for their union. Belle is strong-willed, independent, and smart. The animators have taken pains to make her features more flexible than those of any previous Disney heroine, and her face displays a wide range of expressions: anger, concern, contempt, contrition, fear, joy, sadness, sarcasm, skepticism, and wonder. The Beast, despite his frightening appearance, isn't as terrible as he first appears. Inside of him beats the heart of a true hero, and, in an act of self-sacrifice when he risks his life for Belle, he displays his true nature.
The real allure of the movie, however, is twofold: the amazingly- detailed animation and a half-dozen spectacular song-and-dance numbers. Of all Disney's "new wave" animated features, this is the most polished- looking. Although ALADDIN, THE LION KING, and THE HUNCHBACK OF NOTRE DAME all have their share of eye-popping moments, none are as consistently impressive as those in BEAUTY AND THE BEAST. The ballroom sequence, which mixes computer-generated backgrounds with hand-drawn characters, is the best scene in the movie, but it is nearly equaled by a handful of others. And, while the camera in most animated films remains largely static, here it's frequently on the move, soaring and zooming as it circles characters and imitates tracking shots. Visually, BEAUTY AND THE BEAST is so carefully-constructed that repeated viewings reveal new details, like the wayward strands of hair that fall across Belle's forehead.
The production numbers, with music by Alan Menken and lyrics by Howard Ashman (the duo who worked on THE LITTLE MERMAID), represent the best in Disney's considerable arsenal. They're the animated equivalent of Broadway show-stoppers, with all the energy and audacity of something choreographed by Busby Berkeley. There's "Belle", the opening number; "Gaston", the tongue-in-cheek villain's theme; "Be Our Guest", with singing and dancing china and utensils; the playful "Something There"; the warlike "Mob Song"; and the memorable title ballad, "Beauty and the Beast".
As was the case in THE LITTLE MERMAID, the vocal characterizations are flawless. While many of the actors in this film are better-known than those in MERMAID, the performers' immersion in their roles is such that, unlike Demi Moore in THE HUNCHBACK OF NOTRE DAME, their alter egos efface any baggage associated with our recognition of their names. Jerry Orbach, David Ogden Stiers, and Angela Lansbury are all solid in their respective roles. Robby Benson, a surprising choice for the Beast, is excellent. And Paige O'Hara, a relatively unknown newcomer, gives voice and personality to Belle.
BEAUTY AND THE BEAST also has a keen sense of film history. In addition to the already-mentioned debt it owes to Cocteau's classic, the movie pays homage to at least three legendary motion pictures. The opening shots of the Beast's gothic castle recall CITIZEN KANE. A scene of Belle racing across a grassy hill overlooking her village while singing the reprise of "Belle" echoes a similar moment with Julie Andrews in THE SOUND OF MUSIC. And the march of Gaston's enflamed mob towards the Beast's castle is reminiscent of FRANKENSTEIN's finale.
Combining all of these diverse elements, BEAUTY AND THE BEAST attains a nearly-perfect mix of romance, music, invention, and animation. While many animated features claim to appeal equally to adults and children, BEAUTY AND THE BEAST is one of the rare ones that actually achieves that lofty goal. It's a family feature that someone over the age of 18 can venture into without an accompanying child. To Disney, for BEAUTY AND THE BEAST, I offer my most sincere thanks. If they could once again come close to this level of mastery, movie-going audiences across the world would be forever grateful.
NOTE: Disney is planning a future theatrical re-release of BEAUTY AND THE BEAST (this has nothing to do with the direct-to-video movie, BEAUTY AND THE BEAST: AN ENCHANTED CHRISTMAS) with six to eight minutes of newly-animated footage. A sequence featuring the Menken/Ashman collaboration, "Human Again", will be inserted (this song was not included in the original film, but is in the stage version), as well as several other, shorter scenes. While a release date has not yet been set for this new version, the animation schedule makes it likely that the earliest possible time frame would be late 1999. A hold-out until BEAUTY AND THE BEAST's tenth anniversary, in 2001, is not an unreasonable expectation.
Copyright 1997 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1300 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"For me, the cinema is not a slice of life, but a piece of cake."
- Alfred Hitchcock
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Setting | Value | |||
|---|---|---|---|---|
| Resource | ../EclipseLibraryKeywords.html | |||
| Test Case | Action | Arguments | ||
|---|---|---|---|---|
| Test CCombo | Find CCombo | |||
| ${countItems} | Count Items In CCombo | |||
| Should Be Equal As Integers | ${countItems} | 5 | ||
| Get CCombo Items | ||||
| Get CCombo Text | ||||
| Get CCombo Text Limit | ||||
| Get CCombo Tooltip Text | ||||
| Set Selection Index In CCombo | 0 | |||
| Get Selection Index In CCombo | ||||
| ${selectedText} = | Get Selection Text In CCombo | |||
| Is CCombo Active | ||||
| Is CCombo Enabled | ||||
| Is CCombo Visible | ||||
| Set CCombo Text | this is a test | |||
| Set Focus On CCombo | ||||
| Set Selection Index In CCombo | 1 | |||
| Set Selection Text In CCombo | ${selectedText} | |||


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Preheat the oven to 180C/360F/Gas 4.
Using a sharp knife, cut deep slashes into the guinea fowl breasts, in three or four places (this will allow the spices to permeate the meat).
Place the fennel and coriander seeds into a dry frying pan and heat for 1-2 minutes, or until just toasted and fragrant.
Place the toasted spices into a pestle and mortar. Add the cardamom seeds and crush the spices to a powder.
Place the yoghurt, ginger, chilli, salt, mace, white pepper and fresh coriander into a clean bowl. Add the freshly ground spice mixture and mix thoroughly.
Heat an ovenproof frying pan until hot. Add the olive oil and guinea fowl breasts and cook for one minute on each side, or until golden-brown all over. Remove from the heat.
Divide the yoghurt and spice paste among the four breasts, spreading it all over the slashed area of the breasts.
Transfer to the oven and roast for 10-12 minutes, or until the guinea fowl is completely cooked through. (The juices will run clear when the meat is pierced at its thickest point with a metal skewer.)
Meanwhile, for the salad, place the cucumber, tomatoes, carrots, chilli and coconut into a clean bowl and mix together.
Whisk the palm sugar, lemon juice and olive oil together in a clean bowl and drizzle over the salad mixture.
To serve, spoon the salad onto plates and top each with a roasted guinea fowl breast.


Hi, I'm Marianna Mangat. I'm passionate about business data visualizations. Currently, I'm building my data analytical experience in Python, SQL, and JavaScript.
Following my passion for technology, data science, and web development, I'm excited to put my skills to good work.
Check out some of Marianna's recent work.


We're sorry, there are currently no beverages! Feel free to
create a beverage now
Beverage Name
Description
Copy/Edit
No Description Available
Action


|
Couchbase Lite C
Couchbase Lite C API
|
A CBLQuery represents a compiled database query. More...
Data Structures | |
| struct | CBLIndexSpec |
| Parameters for creating a database index. More... | |
Typedefs | |
| typedef struct CBLQuery | CBLQuery |
| A compiled database query. More... | |
| typedef struct CBLResultSet | CBLResultSet |
| An iterator over the rows resulting from running a query. More... | |
Enumerations | |
| enum | CBLQueryLanguage : uint32_t { kCBLJSONLanguage, kCBLN1QLLanguage } |
| Query languages. More... | |
Query objects | |
| _cbl_warn_unused CBLQuery * | CBLQuery_New (const CBLDatabase *db, CBLQueryLanguage language, FLString queryString, int *outErrorPos, CBLError *error) |
| Creates a new query by compiling the input string. More... | |
| static const CBLQuery * | CBLQuery_Retain (const CBLQuery *t) |
| static void | CBLQuery_Release (const CBLQuery *t) |
| void | CBLQuery_SetParameters (CBLQuery *query, FLDict parameters) |
| Assigns values to the query's parameters. More... | |
| FLDict | CBLQuery_Parameters (const CBLQuery *query) |
| Returns the query's current parameter bindings, if any. More... | |
| _cbl_warn_unused CBLResultSet * | CBLQuery_Execute (CBLQuery *, CBLError *) |
| Runs the query, returning the results. More... | |
| _cbl_warn_unused FLSliceResult | CBLQuery_Explain (const CBLQuery *) |
| Returns information about the query, including the translated SQLite form, and the search strategy. More... | |
| unsigned | CBLQuery_ColumnCount (const CBLQuery *) |
| Returns the number of columns in each result. More... | |
| FLSlice | CBLQuery_ColumnName (const CBLQuery *, unsigned columnIndex) |
| Returns the name of a column in the result. More... | |
Result sets | |
A It exposes one result at a time – as a collection of values indexed either by position or by name – and can be stepped from one result to the next. It's important to note that the initial position of the iterator is before the first result, so CBLResultSet_Next must be called first. Example: CBLResultSet *rs = CBLQuery_Execute(query, &error); assert(rs); while (CBLResultSet_Next(rs) { FLValue aValue = CBLResultSet_ValueAtIndex(rs, 0); ... } CBLResultSet_Release(rs); | |
| _cbl_warn_unused bool | CBLResultSet_Next (CBLResultSet *) |
| Moves the result-set iterator to the next result. More... | |
| FLValue | CBLResultSet_ValueAtIndex (const CBLResultSet *, unsigned index) |
| Returns the value of a column of the current result, given its (zero-based) numeric index. More... | |
| FLValue | CBLResultSet_ValueForKey (const CBLResultSet *, FLString key) |
| Returns the value of a column of the current result, given its name. More... | |
| FLArray | CBLResultSet_ResultArray (const CBLResultSet *) |
| Returns the current result as an array of column values. More... | |
| FLDict | CBLResultSet_ResultDict (const CBLResultSet *) |
| Returns the current result as a dictionary mapping column names to values. More... | |
| CBLQuery * | CBLResultSet_GetQuery (const CBLResultSet *rs) |
| Returns the Query that created this ResultSet. More... | |
| static const CBLResultSet * | CBLResultSet_Retain (const CBLResultSet *t) |
| static void | CBLResultSet_Release (const CBLResultSet *t) |
Change listener | |
Adding a change listener to a query turns it into a "live query". When changes are made to documents, the query will periodically re-run and compare its results with the prior results; if the new results are different, the listener callback will be called.
| |
| typedef void(* | CBLQueryChangeListener) (void *context, CBLQuery *query) |
| A callback to be invoked after the query's results have changed. More... | |
| _cbl_warn_unused CBLListenerToken * | CBLQuery_AddChangeListener (CBLQuery *query, CBLQueryChangeListener listener, void *context) |
| Registers a change listener callback with a query, turning it into a "live query" until the listener is removed (via CBLListener_Remove). More... | |
| _cbl_warn_unused CBLResultSet * | CBLQuery_CopyCurrentResults (const CBLQuery *query, CBLListenerToken *listener, CBLError *error) |
| Returns the query's entire current result set, after it's been announced via a call to the listener's callback. More... | |
Database Indexes | |
Indexes are used to speed up queries by allowing fast – O(log n) – lookup of documents that have specific values or ranges of values. The values may be properties, or expressions based on properties. An index will speed up queries that use the expression it indexes, but it takes up space in the database file, and it slows down document saves slightly because it needs to be kept up to date when documents change. Tuning a database with indexes can be a tricky task. Fortunately, a lot has been written about it in the relational-database (SQL) realm, and much of that advice holds for Couchbase Lite. You may find SQLite's documentation particularly helpful since Couchbase Lite's querying is based on SQLite. Two types of indexes are currently supported: Value indexes speed up queries by making it possible to look up property (or expression) values without scanning every document. They're just like regular indexes in SQL or N1QL. Multiple expressions are supported; the first is the primary key, second is secondary. Expressions must evaluate to scalar types (boolean, number, string). Full-Text Search (FTS) indexes enable fast search of natural-language words or phrases by using the | |
| enum | CBLIndexType : uint32_t { kCBLValueIndex, kCBLFullTextIndex } |
| Types of database indexes. More... | |
| bool | CBLDatabase_CreateIndex (CBLDatabase *db, FLString name, CBLIndexSpec spec, CBLError *outError) |
| Creates a database index. More... | |
| bool | CBLDatabase_DeleteIndex (CBLDatabase *db, FLString name, CBLError *outError) |
| Deletes an index given its name. More... | |
| _cbl_warn_unused FLMutableArray | CBLDatabase_IndexNames (CBLDatabase *db) |
| Returns the names of the indexes on this database, as a Fleece array of strings. More... | |
A CBLQuery represents a compiled database query.
The query language is a large subset of the N1QL language from Couchbase Server, which you can think of as "SQL for JSON" or "SQL++".
Queries may be given either in N1QL syntax, or in JSON using a schema that resembles a parse tree of N1QL. The JSON syntax is harder for humans, but much more amenable to machine generation, if you need to create queries programmatically or translate them from some other form.
| typedef void(* CBLQueryChangeListener) (void *context, CBLQuery *query) |
A callback to be invoked after the query's results have changed.
The actual result set can be obtained by calling CBLQuery_CopyCurrentResults, either during the callback or at any time thereafter.
| context | The same context value that you passed when adding the listener. |
| query | The query that triggered the listener. |
| typedef struct CBLResultSet CBLResultSet |
An iterator over the rows resulting from running a query.
| enum CBLIndexType : uint32_t |
| enum CBLQueryLanguage : uint32_t |
| bool CBLDatabase_CreateIndex | ( | CBLDatabase * | db, |
| FLString | name, | ||
| CBLIndexSpec | spec, | ||
| CBLError * | outError | ||
| ) |
Creates a database index.
Indexes are persistent. If an identical index with that name already exists, nothing happens (and no error is returned.) If a non-identical index with that name already exists, it is deleted and re-created.
| bool CBLDatabase_DeleteIndex | ( | CBLDatabase * | db, |
| FLString | name, | ||
| CBLError * | outError | ||
| ) |
Deletes an index given its name.
| _cbl_warn_unused FLMutableArray CBLDatabase_IndexNames | ( | CBLDatabase * | db | ) |
Returns the names of the indexes on this database, as a Fleece array of strings.
| _cbl_warn_unused CBLListenerToken* CBLQuery_AddChangeListener | ( | CBLQuery * | query, |
| CBLQueryChangeListener | listener, | ||
| void * | context | ||
| ) |
Registers a change listener callback with a query, turning it into a "live query" until the listener is removed (via CBLListener_Remove).
When the first change listener is added, the query will run (in the background) and notify the listener(s) of the results when ready. After that, it will run in the background after the database changes, and only notify the listeners when the result set changes.
| query | The query to observe. |
| listener | The callback to be invoked. |
| context | An opaque value that will be passed to the callback. |
| unsigned CBLQuery_ColumnCount | ( | const CBLQuery * | ) |
Returns the number of columns in each result.
Returns the name of a column in the result.
The column name is based on its expression in the SELECT...
or WHAT:
section of the query. A column that returns a property or property path will be named after that property. A column that returns an expression will have an automatically-generated name like $1
. To give a column a custom name, use the AS
syntax in the query. Every column is guaranteed to have a unique name.
| _cbl_warn_unused CBLResultSet* CBLQuery_CopyCurrentResults | ( | const CBLQuery * | query, |
| CBLListenerToken * | listener, | ||
| CBLError * | error | ||
| ) |
Returns the query's entire current result set, after it's been announced via a call to the listener's callback.
| query | The query being listened to. |
| listener | The query listener that was notified. |
| error | If the query failed to run, the error will be stored here. |
| _cbl_warn_unused CBLResultSet* CBLQuery_Execute | ( | CBLQuery * | , |
| CBLError * | |||
| ) |
Runs the query, returning the results.
To obtain the results you'll typically call CBLResultSet_Next in a while
loop, examining the values in the CBLResultSet each time around.
| _cbl_warn_unused FLSliceResult CBLQuery_Explain | ( | const CBLQuery * | ) |
Returns information about the query, including the translated SQLite form, and the search strategy.
You can use this to help optimize the query: the word SCAN
in the strategy indicates a linear scan of the entire database, which should be avoided by adding an index. The strategy will also show which index(es), if any, are used.
| _cbl_warn_unused CBLQuery* CBLQuery_New | ( | const CBLDatabase * | db, |
| CBLQueryLanguage | language, | ||
| FLString | queryString, | ||
| int * | outErrorPos, | ||
| CBLError * | error | ||
| ) |
Creates a new query by compiling the input string.
This is fast, but not instantaneous. If you need to run the same query many times, keep the CBLQuery around instead of compiling it each time. If you need to run related queries with only some values different, create one query with placeholder parameter(s), and substitute the desired value(s) with CBLQuery_SetParameters each time you run the query.
| db | The database to query. |
| language | The query language, JSON or N1QL. |
| queryString | The query string. |
| outErrorPos | If non-NULL, then on a parse error the approximate byte offset in the input expression will be stored here (or -1 if not known/applicable.) |
| error | On failure, the error will be written here. |
Returns the query's current parameter bindings, if any.
|
inlinestatic |
Assigns values to the query's parameters.
These values will be substited for those parameters whenever the query is executed, until they are next assigned.
Parameters are specified in the query source as e.g. $PARAM
(N1QL) or ["$PARAM"]
(JSON). In this example, the parameters
dictionary to this call should have a key PARAM
that maps to the value of the parameter.
| query | The query. |
| parameters | The parameters in the form of a Fleece dictionary whose keys are the parameter names. (It's easiest to construct this by using the mutable API, i.e. calling FLMutableDict_New and adding keys/values.) |
| CBLQuery* CBLResultSet_GetQuery | ( | const CBLResultSet * | rs | ) |
Returns the Query that created this ResultSet.
| _cbl_warn_unused bool CBLResultSet_Next | ( | CBLResultSet * | ) |
Moves the result-set iterator to the next result.
Returns false if there are no more results.
|
inlinestatic |
| FLArray CBLResultSet_ResultArray | ( | const CBLResultSet * | ) |
Returns the current result as an array of column values.
| FLDict CBLResultSet_ResultDict | ( | const CBLResultSet * | ) |
Returns the current result as a dictionary mapping column names to values.
|
inlinestatic |
| FLValue CBLResultSet_ValueAtIndex | ( | const CBLResultSet * | , |
| unsigned | index | ||
| ) |
Returns the value of a column of the current result, given its (zero-based) numeric index.
This may return a NULL pointer, indicating MISSING
, if the value doesn't exist, e.g. if the column is a property that doesn't exist in the document.
| FLValue CBLResultSet_ValueForKey | ( | const CBLResultSet * | , |
| FLString | key | ||
| ) |
Returns the value of a column of the current result, given its name.
This may return a NULL pointer, indicating MISSING
, if the value doesn't exist, e.g. if the column is a property that doesn't exist in the document. (Or, of course, if the key is not a column name in this query.)


|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
used by node reports status to client or fetch data from client More...
#include <node.hpp>
Public Member Functions | |
| virtual | ~node_delegate ()=default |
| virtual bool | has_item (const net::item_id &id)=0 |
| virtual bool | handle_block (const graphene::net::block_message &blk_msg, bool sync_mode, std::vector< message_hash_type > &contained_transaction_msg_ids)=0 |
| Called when a new block comes in from the network. More... | |
| virtual void | handle_transaction (const graphene::net::trx_message &trx_msg)=0 |
| Called when a new transaction comes in from the network. More... | |
| virtual void | handle_message (const message &message_to_process)=0 |
| Called when a new message comes in from the network other than a block or a transaction. Currently there are no other possible messages, so this should never be called. More... | |
| virtual std::vector< item_hash_t > | get_block_ids (const std::vector< item_hash_t > &blockchain_synopsis, uint32_t &remaining_item_count, uint32_t limit=2000)=0 |
| virtual message | get_item (const item_id &id)=0 |
| virtual chain_id_type | get_chain_id () const =0 |
| virtual std::vector< item_hash_t > | get_blockchain_synopsis (const item_hash_t &reference_point, uint32_t number_of_blocks_after_reference_point)=0 |
| virtual void | sync_status (uint32_t item_type, uint32_t item_count)=0 |
| virtual void | connection_count_changed (uint32_t c)=0 |
| virtual uint32_t | get_block_number (const item_hash_t &block_id)=0 |
| virtual fc::time_point_sec | get_block_time (const item_hash_t &block_id)=0 |
| virtual item_hash_t | get_head_block_id () const =0 |
| virtual uint32_t | estimate_last_known_fork_from_git_revision_timestamp (uint32_t unix_timestamp) const =0 |
| virtual void | error_encountered (const std::string &message, const fc::oexception &error)=0 |
| virtual uint8_t | get_current_block_interval_in_seconds () const =0 |
used by node reports status to client or fetch data from client
|
virtualdefault |
|
pure virtual |
Call any time the number of connected peers changes.
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
|
pure virtual |
|
pure virtual |
Assuming all data elements are ordered in some way, this method should return up to limit ids that occur after from_id. On return, remaining_item_count will be set to the number of items in our blockchain after the last item returned in the result, or 0 if the result contains the last item in the blockchain
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper.
|
pure virtual |
|
pure virtual |
Returns the time a block was produced (if block_id = 0, returns genesis time). If we don't know about the block, returns time_point_sec::min()
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
Returns a synopsis of the blockchain used for syncing. This consists of a list of selected item hashes from our current preferred blockchain, exponentially falling off into the past. Horrible explanation.
If the blockchain is empty, it will return the empty list. If the blockchain has one block, it will return a list containing just that block. If it contains more than one block: the first element in the list will be the hash of the highest numbered block that we cannot undo the second element will be the hash of an item at the half way point in the undoable segment of the blockchain the third will be ~3/4 of the way through the undoable segment of the block chain the fourth will be at ~7/8... &c. the last item in the list will be the hash of the most recent block on our preferred chain
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
|
pure virtual |
|
pure virtual |
Given the hash of the requested data, fetch the body.
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
Called when a new block comes in from the network.
| blk_msg | the message which contains the block |
| sync_mode | true if the message was fetched through the sync process, false during normal operation |
| contained_transaction_msg_ids | container for the transactions to write back into |
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper.
|
pure virtual |
Called when a new message comes in from the network other than a block or a transaction. Currently there are no other possible messages, so this should never be called.
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
Called when a new transaction comes in from the network.
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
If delegate has the item, the network has no need to fetch it.
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.
|
pure virtual |
Call this after the call to handle_message succeeds.
| item_type | the type of the item we're synchronizing, will be the same as item passed to the sync_from() call |
| item_count | the number of items known to the node that haven't been sent to handle_item() yet. After item_count more calls to handle_item(), the node will be in sync |
Implemented in graphene::net::detail::statistics_gathering_node_delegate_wrapper, and graphene::app::detail::application_impl.


Header 1The Life of Now Ui Dashboard
Header 2The Life of Now Ui Dashboard
Header 3The Life of Now Ui Dashboard
Header 4The Life of Now Ui Dashboard
Header 5The Life of Now Ui Dashboard
Header 6The Life of Now Ui Dashboard
Paragraph
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at.
Quote
"I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at."
- Noaa
Muted Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Primary Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Info Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Success Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Warning Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Danger Text
I will be the leader of a company that ends up being worth billions of dollars, because I got the answers...
Small Tag
Header with small subtitle
Use "small" tag for the headers


--- title: Single Lane Road description: This map is a simple two-way single-lane road used for basic test cases. This is a convenient map for running basic scenarios for your autonomous driving system modules. layout: content name: Single Lane Road excerpt: This map is a simple two-way single-lane road used for basic test cases. This is a convenient map for running basic scenarios for your autonomous driving system modules. image_path: /images/maps/SingleLaneRoad-01.jpg ---
{{page.description}}
Publisher: LG Electronics
Supported LGSVL Simulator versions: 2020.06
Supported AD platforms: Apollo 3.0/3.5/5.0, Autoware 1.12
Content format: Simulator Asset Bundle


Made as my pitch for Game Studio, Witchburger is a magic-themed restaurant tycoon. The Prototype was a solo project, but the full game may be on a team.


Hudson Software Process
With the goal of providing a predictable, stable and high-quality product
that can be contributed to by many different people in the Hudson community, we
are proposing the following process be followed by committers for software development. The
goal is to provide some structure and predictability to the process while not
adding a lot of extra work to the developers contributing to the project. This
process includes things that are very common in most open source projects. For
simplicity we have focused separately on the processes for the Hudson Core and
Plugins separately.
Note for the purposes of this process discussion Hudson Core is defined as being Core itself, the
Hudson website repository (WWW) and certain Core or "tier 1" plugins such as Maven. These core plugins are documented in the Wiki.
All other plugins fall into the general plugins category documented in section 2 of this document.
Commenting on this Process
Any comments you have relating to this process can be recorded and tracked in the Hudson Wiki. When commenting, please be sure to refer to the reference number of the section or paragraph that you have the comment on.
Older versions of this document are archived for inspection in the WWW source control area.
1. Processes relating to Hudson Core
1.1 Becoming a Committer
- All committers to the Hudson Core need to sign the OCA (fka SCA). (This is the same as it has always been)
- Plugin developers do not automatically have the right to commit to Hudson Core, however, they can also graduate to becoming core committers (see #3). The current committers can vote (majority wins) to allow commit rights into the plugins repository.
- Community members showing consistent patch submission for core, or check ins to one of the Hudson
plugins can either request permission or be nominated to become a committer on the Hudson Core.
At that point, the current Hudson Core committers can vote (majority wins) on
whether or not to make them a committer.
1.2 Tracking Issues and New Features
- All code to be
committed to the Hudson Core should be associated with a JIRA issue.
A developer should assign an existing issue to themselves or create
and assign a new issue. Automatic messages from JIRA will inform
the community of work being undertaken. This will provide better
tracking and history of issues and changes to the software.
- For new functionality, a new JIRA issue should be created prior to
starting the work whenever possible. This will both ensure features
are properly tracked as well as allow others in the community to be
aware of the work being done and provide comments, requirements or
even offers to help up front. In some cases this may not be
practical - such as work that is already done on an internal project
and contributed back to the community at a later date - but the
sooner a JIRA issue can be created, the better. This will also help
avoid duplication of effort as well as disagreements at the time the
work is submitted for review.
- For new functionality and major changes to the Hudson Core or APIs, a Wiki page should be created along with the JIRA issue to outline the
changes. This can be linked from the JIRA issue and will be
communicated to the community. Again, doing this at the beginning of
the work will allow the user community the opportunity to discuss
the changes if they are likely to affect them, and provide any
requirements or feedback before the initial work is done. In this
case the developer can use a branch rather than the trunk for
development, review and test.
- Issues and features relating to Core should be entered and documented in the Core projects within JIRA.
1.3 Code Review
- All changes to Hudson Core must be approved by a Hudson Core committer (more on that in
section IV below).
- All changes to Hudson Core should go through a code review. Developers are not constrained to using any particular tool although we will be adopting Gerrit for those wanting to use it. If the work being checked in
is considered minor by the developer they can approve their own change. For bigger changes or
ones that the developer would like a review, they can have another
Hudson Core committer review and approve the change. The decision to review or not will be left up to the
developer (except for cases covered in #3 below). If people are
found continuously abusing this freedom they may loose their
committer rights.
- Any new or major feature or API change to Hudson Core requires
a review from another committer. Developers cannot approve their
own work when that work is a new feature, major change or API change.
1.4 Committing Code
- Only developers with Core committer rights can commit into Hudson Core.
- Merges into the Hudson Core should have the associated JIRA issue number at the
start of the merge message, and a short description of the work
done. The JIRA issue number allows linking the merge with the JIRA
issue and the short description provides a quick referenced without
the need to go to JIRA. This will provide better insight into users
as to what changes are in what version of the Hudson Core.
- Commits should be grouped by issue whenever possible/sensible.
- Hudson Core committers who commit patches on behalf of another community member should credit that member appropriately in the check in notes and JIRA issue.
1.5 Testing
- All code to be committed to the Hudson Core should have a corresponding
test case checked in with the change whenever possible. (e.g. Some
UI fixes might not be possible to cover with an automatic test). If a commit
is already covered by an existing test then the developer should still endeavor to
document which test will exercise the code.
In the case where no test is possible or feasible the developer should make that
clear and if necessary create a separate issue for the development of a relevant
test in the future.
- Committers to the Hudson Core should run the necessary tests before they check
in and any results posted with the JIRA issue for auditing and
information purposes.
- Code coverage will be run nightly against both core and plugins.
Developers should strive for 100% test coverage in their areas.
2. Processes relating to Hudson Plugins
2.1 Becoming a Committer
- Anyone can ask to be a committer for a new plugin on the Plugins repository. Just mail the Husdon Developer list to ask.
- Community members seeking to become a committer on an existing plugin project need only
seek the permission of the current lead for that plugin project as listed in JIRA. If a plugin project currently has no
lead then commit access permission on that project will be at the discretion of the Hudson Core committers.
- As stated in the preamble, in certain cases plugins are regarded as being part of Core rather than separate entities. In this case all of the rules defined for Core commits apply
2.2 Tracking Issues and New Features
Note the current proposal is that each new plugin will have it's own project in JIRA as well as its own SCM repository.
- Plugin committers are encouraged to follow the pattern laid down for Hudson
Core and create a JIRA issue for any code changes along with Wiki pages for discussing
major changes in the plugin. However, this is not mandatory.
- Plugin owners should ensure that the version of Core that a Plugin depends upon is clearly documented in the Hudson wiki.
- Plugin owners/leads are responsible for defining the attributes of their JIRA projects; Sub components, default assignees etc.
- Plugin owners/leads are responsible for ensuring up to date and accurate documentation for their components in the Hudson wiki
2.3 Code Review
- Code review is not required for plugins unless that process is agreed upon by plugins that have several contributors. However, again we encourage good practice and welcome peer review between plugin writers. Crucible can be used for this task.
2.4 Committing Code
- Only developers with committer rights on a specific plugin can commit into that plugin's repository,
- Commits should be grouped by issue whenever possible/sensible.
- Commits should be linked with the associated plugin JIRA issue for traceability.
2.5 Testing
Note having good tests is an essential part of being a good Hudson plugin. If a plugin is going to be promoted to Tier 1 or 2 then tests are an essential part of the evaluation criteria for that.
- Plugin writers are encouraged to provide tests along with the plugin code
- Plugin writers are encouraged to run the necessary tests before they check in and any results posted with the JIRA issue for auditing and information purposes.
- Code coverage will be run nightly against both core and plugins. Plugin developers should strive for 100% test coverage in their areas.
Comments or feedback? Head over to the wiki.
$LastChangedDate: 2011-03-14 18:15:29 +0000 (Mon, 14 Mar 2011) $


Hometown
Jakarta
Born and raised in Jakarta has its pros and cons. One of the drawbacks is the horrendous traffic, to drive anywhere during rush hour not only wastes your time, but it also halves your lifespan. The constant switch between stopping and going doesn't allow a lapse in your concentration, other vehicles add to the suffering by not following road etiquette, and you're never going to have peace of mind with all the honking going on around you.
All that said, there's the existence of Trans Jakarta. The government provides accessible and affordable public transport to decrease traffic congestion. Costing only 3500 Rupiah, if your destination is within walking distance to the nearest Trans Jakarta station, you could save up a lot on transport fees, also avoiding the stress of driving in compact traffic along the way.
Having public transport should theoretically be a great fix. Well, it's not. Remember, nobody follows road etiquette. You're going to find a lot of motorcycles (and sometimes cars) in the bus lane. Not only that, based on my personal experience, there's a main road called Jl. Daan Mogot, where a part of the road is a single laned bridge. There's no bus lane on that bridge because it's a single laned bridge and corridor 3 buses will always go on that bridge. That part has been a bottleneck for YEARS and will continue being a bottleneck for years to come.


Former Gators QB Tim Tebow mourns loss of beloved dog, Bronco
by WPTV WebteamFormer NFL and Florida Gators quarterback Tim Tebow is mourning the loss of his beloved dog, Bronco, after putting his pet down on Wednesday.
Tebow posted an emotional video on Instagram, showing him sobbing as he fed Bronco a treat before saying goodbye.
"One of the toughest goodbyes," Tebow wrote in the post. "Wanted to make a special tribute to the sweetest boy ever - thank you for all the joy you brought and all the memories."
The post also included several memorable photos of Tebow and Bronco together over the years.
"If you had the pleasure of meeting Bronco, one of the best dogs ever, I would love to hear your story," Tebow wrote, to which he received more than 18,000 comments.
According to AOL.com, Tebow received the Rhodesian Ridgeback as a gift after he was selected 25th overall by the Denver Broncos in the 2010 NFL Draft.
Tebow won two national championships with the Florida Gators in 2006 and 2008, and also won the Heisman Trophy in 2007.
After several years in the NFL with the Denver Broncos and New York Jets, he made the transition to baseball, where he's currently signed with the New York Mets organization in their minor league system.


A collection of statistical simulation and computation tools with a GTK GUI, to help teach statistical concepts and compute probabilities. Two domains are covered: I. Understanding (Central-Limit Theorem and the Normal Distribution, Distribution of a sample mean, Distribution of a sample variance, Probability calculator for common distributions), and II. Elementary Bayesian Statistics (bayesian inference on proportions, contingency tables, means and variances, with informative and noninformative priors).
| Version: | 0.24 |
| Depends: | R (≥ 2.10), proto, cairoDevice, gWidgetsRGtk2, partitions |
| Published: | 2013-09-22 |
| Author: | Yvonnick Noel |
| Maintainer: | Yvonnick Noel <yvonnick.noel at uhb.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | Bayesian, Distributions |
| CRAN checks: | AtelieR results |
| Reference manual: | AtelieR.pdf |
| Package source: | AtelieR_0.24.tar.gz |
| Windows binaries: | r-devel: AtelieR_0.24.zip, r-release: AtelieR_0.24.zip, r-oldrel: AtelieR_0.24.zip |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | AtelieR archive |
Please use the canonical form https://CRAN.R-project.org/package=AtelieR to link to this page.


Before Change
def to_path_globs(self, relpath):
Return a PathGlobs representing the included and excluded Files for these patterns.
return PathGlobs.create(relpath, self._file_globs, self._excluded_file_globs)
def _gen_init_args_str(self):
all_arg_strs = []
positional_args = ", ".join([repr(p) for p in self._patterns])
After Change
def to_path_globs(self, relpath):
Return a PathGlobs representing the included and excluded Files for these patterns.
return PathGlobs(
tuple(os.path.join(relpath, glob) for glob in self._file_globs),
tuple(os.path.join(relpath, exclude) for exclude in self._excluded_file_globs),
)
def _gen_init_args_str(self):
all_arg_strs = []
positional_args = ", ".join([repr(p) for p in self._patterns])


Goa`uld
Descended God
Registered: Oct 2001
Location: ..?.
Posts: 2619 |
If a stargate was real, then this is how it would be implemented.
Each galaxy within the system would be divided up into<PHONE_NUMBER> sections. Each section would be assigned a stargate address.
However there are only a few thousand stargates in the galaxy, meaning that most of these sections don't have a stargate in them.
And the Ancients would have made sure that the chances of two stargates being in one section would be highly unlikely (Even though we saw this occur in Solitudes, we learned several things in later episodes, such as a dominating gates etc...)
Only one planet per solar system can usually have a stargate, as usually only one planet is within the appropriate ecosphere to support life. The solar systems within the galaxy move around, as the galaxy is a giant spiral that spins, growing stars in the middle, and spinning them outwards to the edges of it's arms.
It's hard for me to explain this on a real model such as the milky way... so let's use this small theoretical galaxy I have created called the "Silky Way":
The Silky Way stargate system has 16 possible stargate addresses. However the galaxy has only 3 stargates (as we discussed earlier, there are far more possible stargate addresses than there are stargates).
The stargates in this picture are highlited with a red dot.
Now due to planetary shift and the solar systems shifting around... after 5000 years in the Silky Way, the stargates would have moved into other sections of the system:
Hence the need to adjust the addresses for planetary shift. (Notice 2 of the stargates now must have adjusted addresses... however one of them still has it's old address like Abydos)
So the changing of stargate addresses really doesn't have to do with the galaxy moving, as the addresses for stargates are relative to the center of the galaxy. But they DO have to do with the solar systems moving around, so must continually be adjusted.
__________________
Report this post to a moderator | ? + *
|


jquery-slideshow
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
buddha birds
by Eric Brochu
buddha birds
by Eric Brochu
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
Buddha
by dave bennion
Golden Buddha Revealed
by Thrill Me
buddha birds
by Eric Brochu


Before Change
c = numpy.asarray_chkfinite(c)
onedim = c.ndim == 1
if onedim:
c = c.reshape(1, len(c))
if mode == "left":
c = c.T
a = numpy.asarray(a) // chkfinite done in qr
After Change
a = numpy.atleast_2d(numpy.asarray(a)) // chkfinite done in qr
M, N = a.shape
if mode == "left":
if c.shape[0] != min(M, N + overwrite_c*(M-N)):
raise ValueError("Array shapes are not compatible for Q @ c"
" operation: {} vs {}".format(a.shape, c.shape))
else:
if M != c.shape[1]:
raise ValueError("Array shapes are not compatible for c @ Q"
" operation: {} vs {}".format(c.shape, a.shape))
raw = qr(a, overwrite_a, None, "raw", pivoting)
Q, tau = raw[0]
gor_un_mqr, = get_lapack_funcs(("ormqr",), (Q,))


Protected: Industrial Analytics: Where to Start
by David Stonehouse, Rockwell AutomationThis content is password protected. To view it please enter your password below:
Password:
This content is password protected. To view it please enter your password below:
Password:


Disc Golf Courses
Disc Golf courses in the East Idaho Area
Name
Contact
Phone
Address
City
State
Zip


/** * @author Ed Spencer * * The LocalStorageProxy uses the new HTML5 localStorage API to save {@link Ext.data.Model Model} data locally on the * client browser. HTML5 localStorage is a key-value store (e.g. cannot save complex objects like JSON), so * LocalStorageProxy automatically serializes and deserializes data when saving and retrieving it. * * localStorage is extremely useful for saving user-specific information without needing to build server-side * infrastructure to support it. Let's imagine we're writing a Twitter search application and want to save the user's * searches locally so they can easily perform a saved search again later. We'd start by creating a Search model: * * Ext.define('Search', { * extend: 'Ext.data.Model', * config: { * fields: ['id', 'query'], * proxy: { * type: 'localstorage', * id : 'twitter-Searches' * } * } * }); * * Our Search model contains just two fields - id and query - plus a Proxy definition. The only configuration we need to * pass to the LocalStorage proxy is an {@link #id}. This is important as it separates the Model data in this Proxy from * all others. The localStorage API puts all data into a single shared namespace, so by setting an id we enable * LocalStorageProxy to manage the saved Search data. * * Saving our data into localStorage is easy and would usually be done with a {@link Ext.data.Store Store}: * * //our Store automatically picks up the LocalStorageProxy defined on the Search model * var store = Ext.create('Ext.data.Store', { * model: "Search" * }); * * //loads any existing Search data from localStorage * store.load(); * * //now add some Searches * store.add({query: 'Sencha Touch'}); * store.add({query: 'Ext JS'}); * * //finally, save our Search data to localStorage * store.sync(); * * The LocalStorageProxy automatically gives our new Searches an id when we call store.sync(). It encodes the Model data * and places it into localStorage. We can also save directly to localStorage, bypassing the Store altogether: * * var search = Ext.create('Search', {query: 'Sencha Animator'}); * * //uses the configured LocalStorageProxy to save the new Search to localStorage * search.save(); * * # Limitations * * If this proxy is used in a browser where local storage is not supported, the constructor will throw an error. A local * storage proxy requires a unique ID which is used as a key in which all record data are stored in the local storage * object. * * It's important to supply this unique ID as it cannot be reliably determined otherwise. If no id is provided but the * attached store has a storeId, the storeId will be used. If neither option is presented the proxy will throw an error. * * ###Further Reading * [Sencha Touch Data Overview](../../../core_concepts/data/data_package_overview.html) * [Sencha Touch Store Guide](../../../core_concepts/data/stores.html) * [Sencha Touch Models Guide](../../../core_concepts/data/models.html) * [Sencha Touch Proxy Guide](../../../core_concepts/data/proxies.html) */ Ext.define('Ext.data.proxy.LocalStorage', { extend: 'Ext.data.proxy.WebStorage', alias: 'proxy.localstorage', alternateClassName: 'Ext.data.LocalStorageProxy', //inherit docs getStorageObject: function() { return window.localStorage; } });


#include <tobjstrm.h>
Inheritance diagram for ofpstream::
Public Methods | |
| ofpstream () | |
| ofpstream (const char *name, int omode=ios::out, int prot=filebuf::openprot) | |
| ofpstream (int f) | |
| ofpstream (int f, char *b, int len) | |
| ~ofpstream () | |
| filebuf* | rdbuf () |
| void | open (const char *name, int omode=ios::out, int prot=filebuf::openprot) |
Definition at line 1102 of file tobjstrm.h.
|
|
Creates a buffered ofpstream object. |
|
|
Creates a buffered ofpstream object. You can open a file and attach it to the stream by specifying the `name', `omode', and `prot' (protection) arguments. |
|
|
Creates a buffered ofpstream object. You can open a file and attach it to the stream by specifying the file descriptor, `f'. |
|
|
Creates a buffered ofpstream object. You can set the size and initial contents of the buffer using the `len' and `b' arguments. You can open a file and attach it to the stream by specifying the file descriptor, `f'. |
|
|
Destroys the ofpstream object. |
|
|
Opens the the named file in the given mode (app, ate, in, out, binary, trunc, nocreate, or noreplace) and protection. The default mode is out (output) with openprot protection. The opened file is attached to this stream. Reimplemented from fpbase. |
|
|
Returns the current file buffer. Reimplemented from fpbase. |


I am born and raised in the city of Portland Oregon and have studied computer sciences and the Multi Media world my whole life. I have Produced Film Production, Concert Production, and am now switching to the Coding industry. I Live alone with a cat named Hobbes and I love Photography, Auto Racing, and any art media i can get my hands on. Some of my favorite media are


| 1 |
Mitsuishi_2010 |
Combined analysis of cell growth and apoptosis-regulating proteins in HPVs associated anogenital tumors |
Mitsuishi, Tsuyoshi; Iwabu, Yukie; Tokunaga, Kenzo; Sata, Tetsutaro; Kaneko, Takehiko; Ohara, Kuniaki; Ohsawa, Ikuroh; Oda, Fumino; Yamada, Yuko; Kawana, Seiji; Ozaki, Kohji; Nakatake, Mayuka; Yamada, Osamu |
2010 |
2010-03-27 |
COMM-USE |
N |
PMC2868050 |
20346172.0 |
10.1186/1471-2407-10-118 |
irr9g03q |
0.976160 |
|
|
| 2 |
Lelie_2005 |
Inactivation of 12 viruses by heating steps applied during manufacture of a hepatitis B vaccine |
Lelie, P. N.; Reesink, H. W.; Lucas, C. J. |
2005 |
2005-12-07 |
PMC |
N |
PMC7166500 |
2828525.0 |
10.1002/jmv.1890230313 |
blzsn91q |
0.828275 |
Davaro_2013 |
|
| 3 |
Lee_Y_2009 |
Synthesis of 5-isoxazol-5-yl-2′-deoxyuridines exhibiting antiviral activity against HSV and several RNA viruses |
Lee, Yoon-Suk; Park, Sun Min; Kim, Byeang Hyean |
2009 |
2009-02-15 |
PMC |
N |
PMC7126966 |
19147352.0 |
10.1016/j.bmcl.2008.12.103 |
099sc3mx |
0.695335 |
Davaro_2013 |
|
| 4 |
Yamada_1991 |
Pathogenesis of Theiler's Murine Encephalomyelitis Virus |
Yamada, Masahito; Zurbriggen, Andreas; Fujinami, Robert S. |
1991 |
1991-12-31 |
PMC |
N |
PMC7130615 |
2038955.0 |
10.1016/s0065-3527(08)60798-8 |
4b1x5ipo |
0.628290 |
Davaro_2013 |
|
| 5 |
Rothman_2006 |
Communicable Respiratory Threats in the ED: Tuberculosis, Influenza, SARS, and Other Aerosolized Infections |
Rothman, Richard E.; Hsieh, Yu-Hsiang; Yang, Samuel |
2006 |
2006-11-30 |
PMC |
N |
PMC7126695 |
16982349.0 |
10.1016/j.emc.2006.06.006 |
as0zch1a |
0.410733 |
|
|
| 6 |
Weiss_2008 |
On Viruses, Discovery, and Recognition |
Weiss, Robin A. |
2008 |
2008-12-12 |
PMC |
N |
PMC7127708 |
19070561.0 |
10.1016/j.cell.2008.11.022 |
umyxscxn |
0.400974 |
Davaro_2013 |
|


Welcome to PicSells
This is a social place where creators can earn virtual currency for their work.
Login
Email address
We'll never share your email with anyone else.
Password
Login
New to PicSells?
Register Here!


2.7. Selection Sort¶
2.7.1. Selection Sort¶
Consider again the problem of sorting a pile of phone bills for the past year. Another intuitive approach might be to look through the pile until you find the bill for January, and pull that out. Then look through the remaining pile until you find the bill for February, and add that behind January. Proceed through the ever-shrinking pile of bills to select the next one in order until you are done. This is the inspiration for our last \(\Theta(n^2)\) sort, called Selection Sort. The \(i\)’th pass of Selection Sort “selects” the \(i\)’th largest key in the array, placing that record at the end of the array. In other words, Selection Sort first finds the largest key in an unsorted list, then the next largest, and so on. Its unique feature is that there are few record swaps. To find the next-largest key value requires searching through the entire unsorted portion of the array, but only one swap is required to put the record into place. Thus, the total number of swaps required will be \(n-1\) (we get the last record in place “for free”).
Here is an implementation for Selection Sort.
static <T extends Comparable<T>> void selsort(T[] A) {
for (int i=0; i < A.length-1; i++) { // Select i'th biggest record
int bigindex = 0; // Current biggest index
for (int j=1; j < A.length-i; j++) { // Find the max value
if (A[j].compareTo(A[bigindex]) > 0) { // Found something bigger
bigindex = j; // Remember bigger index
}
}
swap(A, bigindex, A.length-i-1); // Put it into place
}
}
def selsort(A):
for i in range(len(A)-1): # Select i'th biggest record
bigindex = 0 # Current biggest index
for j in range (1, len(A)-i): # Find the max value
if A[j] > A[bigindex]: # Found something bigger
bigindex = j # Remember bigger index
swap(A, bigindex, len(A)-i-1) # Put it into place
Consider the example of the following array.
Now we continue with the second pass. However, since the largest record is already at the right end, we will not need to look at it again.
Selection Sort continues in this way until the entire array is sorted.
The following visualization puts it all together.
Now try for yourself to see if you understand how Selection Sort works.
2.7.2. Selection Sort Analysis¶
Any algorithm can be written in slightly different ways. For example, we could have written Selection Sort to find the smallest record, the next smallest, and so on. We wrote this version of Selection Sort to mimic the behavior of our Bubble Sort implementation as closely as possible. This shows that Selection Sort is essentially a Bubble Sort except that rather than repeatedly swapping adjacent values to get the next-largest record into place, we instead remember the position of the record to be selected and do one swap at the end.
This visualization analyzes the number of comparisons and swaps required by Selection Sort.
There is another approach to keeping the cost of swapping records low, and it can be used by any sorting algorithm even when the records are large. This is to have each element of the array store a pointer to a record rather than store the record itself. In this implementation, a swap operation need only exchange the pointer values. The large records do not need to move. This technique is illustrated by the following visualization. Additional space is needed to store the pointers, but the return is a faster swap operation.
Here are some review questions to check how well you understand Selection Sort.


|
SideCar
|
Class that increments and decrements an integral value in an atomic way, thus safe for use in threaded processing. More...
#include </Users/howes/src/sidecar/Utils/AtomicOp.h>
Public Types | |
| using | ValueType = long |
Public Member Functions | |
| AtomicOp (ValueType value=0) | |
| Constructor. More... | |
| void | operator++ () |
| Atomically increment the held counter value. | |
| ValueType | operator-- () |
| Atomically decrement the held counter value. More... | |
| ValueType | getValue () const |
| Obtain the current value. More... | |
| bool | operator< (const AtomicOp &rhs) const |
| Determine if held value is less than the value of another AtomicOp. More... | |
| bool | operator== (const AtomicOp &rhs) const |
| Determine if held value is the same as the value of another AtomicOp. More... | |
Class that increments and decrements an integral value in an atomic way, thus safe for use in threaded processing.
Definition at line 12 of file AtomicOp.h.
|
inline |
Constructor.
| value | initial value for the counter |
Definition at line 21 of file AtomicOp.h.
|
inline |
Obtain the current value.
Definition at line 37 of file AtomicOp.h.
Referenced by operator<(), and operator==().
|
inline |
Atomically decrement the held counter value.
Definition at line 31 of file AtomicOp.h.
|
inline |
Determine if held value is less than the value of another AtomicOp.
| rhs | value to compare |
Definition at line 45 of file AtomicOp.h.
References getValue().
|
inline |
Determine if held value is the same as the value of another AtomicOp.
| rhs | value to compare |
Definition at line 53 of file AtomicOp.h.
References getValue().


Main
Irene Ham Liu
Data Analyst and GEM Fellow.
Education
Tufts University
M.S. Candidate in Data Analytics
Medford, MA
2019–Current
Universidad Nacional Autonoma de Mexico
B.S. in Physics
Mexico City, Mexico
2012–2017
Professional Experience
Data Analyst
Shorelight Education
Boston, MA
2018–Current
- Actively supporting leaders in the International Higher Education sector with data-driven insights and tools to improve efficiency and customer engagement.
- Developing and maintain reports, presentations, and Tableau dashboards that allow stakeholders to closely monitor performance.
- Working closely with the Data Architecture team to create solutions from low-level to client-facing tools.
- Performing as Scrum Master for the Data Analytics team.
Data Engineer
PLADI
Mexico City, Mexico
2015–2017
- Developed and maintained patient database for a private Neurophysilogy practice.
- Performed Customer Journey analysis to identify outreach opportunities.
- Drove a 160% revenue increase during the first 6 months of implementation.
Research Experience
Undergraduate Research Assistant
Instituto de Investigaciones en Materiales - UNAM
Mexico City, Mexico
2015–2017
- Developed an enhanced Lithium-based ceramic powder for high temperature CO_2 capture.
- Published research as first author on December 2017: https://doi.org/10.1016/j.jcou.2017.11.009
- 1st place poster presentation winner at the 16th International Conference on Carbon Dioxide Utilization in Rio de Janeiro, Brazil.
Selected Project Experience
Incentive Tracking Dashboards
Shorelight Education
Boston, MA
2018–current
- Developed and maintain Incentive and APP tracking Tableau dashboards that allow stakeholders to closely monitor their team’s performance towards goals and bonuses.
- Drove an increase of 200% goal attainment rate and partner engagement during the first Fiscal Year of implementation.
- Facilated claims and QA of payments that allowed the company to save $2.8M in incorrect allocations.
Automated Scrum Sprint Capacity Planner
Shorelight Education
Boston, MA
2020
- Created an automated Sprint Capacity planner adapted to the team’s needs and workflow.
- Improved accuracy of capacity estimation has driven a ~140% increase in story point completion rate to-date.
Awards
GEM Fellowship Award
Awarded a a highly competitive Full Scholarship to the MS in Data Analytics at Tufts University by the GEM Consortium, who support distinguished minorities in STEM.
Boston, MA
August 2019


| I l@ve RuBoard |
2.19 The md5 ModuleThe md5 module is used to calculate message signatures (message digests). The md5 algorithm calculates a strong 128-bit signature. This means that if two strings are different, it's highly likely that their md5 signatures are different as well. To put it another way, given an md5 digest, it's supposed to be nearly impossible to come up with a string that generates that digest. Example 2-35 demonstrates the md5 module. Example 2-35. Using the md5 ModuleFile: md5-example-1.py import md5 hash = md5.new() hash.update("spam, spam, and eggs") print repr(hash.digest()) 'L\005J\243\266\355\243u`\305r\203\267\020F\303' Note that the checksum is returned as a binary string. Getting a hexadecimal or base64-encoded string is quite easy, though, as Example 2-36 shows. Example 2-36. Using the md5 Module to Get a Hexadecimal or Base64-Encoded md5 ValueFile: md5-example-2.py import md5 import string import base64 hash = md5.new() hash.update("spam, spam, and eggs") value = hash.digest() print string.join(map(lambda v: "%02x" % ord(v), value), "") # in 2.0, the above can be written as # print hash.hexdigest() print base64.encodestring(value) 4c054aa3b6eda37560c57283b71046c3 TAVKo7bto3VgxXKDtxBGww== Example 2-37 shows how, among other things, the md5 checksum can be used for challenge-response authentication (but see the note on random numbers later). Example 2-37. Using the md5 Module for Challenge-Response AuthenticationFile: md5-example-3.py import md5 import string, random def getchallenge(): # generate a 16-byte long random string. (note that the built- # in pseudo-random generator uses a 24-bit seed, so this is not # as good as it may seem...) challenge = map(lambda i: chr(random.randint(0, 255)), range(16)) return string.join(challenge, "") def getresponse(password, challenge): # calculate combined digest for password and challenge m = md5.new() m.update(password) m.update(challenge) return m.digest() # # server/client communication # 1. client connects. server issues challenge. print "client:", "connect" challenge = getchallenge() print "server:", repr(challenge) # 2. client combines password and challenge, and calculates # the response. client_response = getresponse("trustno1", challenge) print "client:", repr(client_response) # 3. server does the same, and compares the result with the # client response. the result is a safe login in which the # password is never sent across the communication channel. server_response = getresponse("trustno1", challenge) if server_response == client_response: print "server:", "login ok" client: connect server: '\334\352\227Z#\272\273\212KG\330\265\032>\311o' client: "l'\305\240-x\245\237\035\225A\254\233\337\225\001" server: login ok Example 2-38 offers a variation of md5, which can be used to sign messages sent over a public network, so that their integrity can be verified at the receiving end. Example 2-38. Using the md5 Module for Data Integrity ChecksFile: md5-example-4.py import md5 import array class HMAC_MD5: # keyed md5 message authentication def _ _init_ _(self, key): if len(key) > 64: key = md5.new(key).digest() ipad = array.array("B", [0x36] * 64) opad = array.array("B", [0x5C] * 64) for i in range(len(key)): ipad[i] = ipad[i] ^ ord(key[i]) opad[i] = opad[i] ^ ord(key[i]) self.ipad = md5.md5(ipad.tostring()) self.opad = md5.md5(opad.tostring()) def digest(self, data): ipad = self.ipad.copy() opad = self.opad.copy() ipad.update(data) opad.update(ipad.digest()) return opad.digest() # # simulate server end key = "this should be a well-kept secret" message = open("samples/sample.txt").read() signature = HMAC_MD5(key).digest(message) # (send message and signature across a public network) # # simulate client end key = "this should be a well-kept secret" client_signature = HMAC_MD5(key).digest(message) if client_signature == signature: print "this is the original message:" print print message else: print "someone has modified the message!!!" The copy method takes a snapshot of the internal object state. This allows you to precalculate partial digests (such as the padded key, in Example 2-38). For details on this algorithm, see HMAC-MD5:Keyed-MD5 for Message Authentication (http://www.research.ibm.com/security/draft-ietf-ipsec-hmac-md5-00.txt) by Krawczyk, et al.
|
| I l@ve RuBoard |


 Little floofy Jello, always here to say hello. Mostly is a good sweet boy, who wants to play and chew his toy.
But he digs some holes, and steal your socks, and maybe sometimes, even your jocks. It's okay though, my sweet Jello, we love you anyway. We cannot expect you to be good, every single day.
   Even when your farts are smelly.


Redaktilo Extension Points
Search
Use the EditorBuilder
in order to register custom SearchStrategy
implementations:
<?php
require_once __DIR__.'/vendor/autoload.php';
use Gnugat\Redaktilo\EditorFactory;
$strategy = new MyCustomStrategy();
$builder = EditorFactory::createBuilder();
$builder->addSearchStrategy($strategy);
$editor = $builder->getEditor();
The strategy will then be automatically used (if it's the first to support the
given pattern) when calling one of the following Editor
method:
jumpAbove
jumpBelow
hasAbove
hasBelow
If your strategy should be used instead of another already registered strategy (ie. they support the same pattern), you can give it a higher priority:
$builder->addSearchStrategy($strategy, 50);
Important: The higher the priority is, the sooner the strategy will be returned if it supports the given pattern.
Note:A default priority of 0 is assigned to strategies if you don't specify it.
SearchStrategy API
A lookup strategy supporting a specific kind of pattern:
<?php
namespace Gnugat\Redaktilo\Search;
use Gnugat\Redaktilo\Text;
interface SearchStrategy
{
public function findAbove(Text $text, $pattern, $location = null);
public function findBelow(Text $text, $pattern, $location = null);
public function supports($pattern);
}
Implementations provided out of the box are:
LineRegexSearchStrategy
: regular expression search, supports regex (/pattern/
)SameSearchStrategy
: strict equality search (===
), supports strings
Commands
Use the EditorBuilder
in order to register custom Command
implementations:
<?php
require_once __DIR__.'/vendor/autoload.php';
use Gnugat\Redaktilo\EditorFactory;
$command = new DoSomethingCommand();
$builder = EditorFactory::createBuilder();
$builder->addCommand($command);
$commandInvoker = $builder->getCommandInvoker();
$editor = $builder->getEditor();
$file = $editor->open('/tmp/menu_spam.txt', true);
$editor->run('do_something', array('text' => $file));
Editor
actually uses the CommandInvoker
in its following methods:
insertAbove
insertBelow
remove
replace
replaceAll
run
Command API
Executes a task with the given input:
<?php
namespace Gnugat\Redaktilo\Command;
interface Command
{
public function getName();
public function execute(array $input);
}
Implementations provided out of the box are:
LineInsertAboveCommand
:text
,addition
and optionallocation
(name:insert_above
)LineInsertBelowCommand
:text
,addition
and optionallocation
(name:insert_below
)LineRemoveCommand
:text
and optionallocation
(name:remove
)LineReplaceCommand
:text
,replacement
and optionallocation
(name:replace
)LineReplaceAllCommand
:text
,pattern
andreplacement
(name:replace_all
)
Input Sanitizers
In order to safely extract the parameters in the given input, commands can rely on input sanitizer:
<?php
namespace Gnugat\Redaktilo\Command\Sanitizer;
interface InputSanitizer
{
public function sanitize(array $input);
}
Currently, here's the sanitizers provided out of the box:
LocationSanitizer
: checks if the line number is valid (positive integer strictly inferior to the text's length) or return the current line numberTextSanitizer
: checks the presence and type of thetext
parameter