Simple voice chatting application with message service. For more information : https://github.com/storykim/voicechat.


Clouds
A cloud is a pretty simple construct in a platformer. You can walk trough a clouds left or right side. You can jump from below the clowd over it. So, there is no collision on it's bottom, left or right. However, you can land on a cloud. So it does have collision on the top. In this section, we're going to build a simple cloud. Things like breakable bricks or enemies in super mario are similar, they do one thing from one direction and another thing from another direction.
New Project
Let's make a new project, call it Clouds and get this project up to par with the Configurable Jumping section of the writeup. We're going to work from here.
Updated tile sheet
I've updated HouseTiles.png to be a new image. Right click on the below image, save as and overwrite your old one. This tile sheet is still shared between projects, i didn't touch any of the existing tiles, instead the sheet is now larger at 512x512 pixels.
Updated rooms
In Game.cs replace the SpriteSources array with this revised version:
protected Rectangle[] spriteSources = new Rectangle[] {
// OLD
/* 0 */new Rectangle(466,32,30,30),
/* 1 */new Rectangle(466,1,30,30),
/* 2 */new Rectangle(32,187,30,30),
// NEW
/* 3 */new Rectangle(466, 125,30,30), // blue border
/* 4 */new Rectangle(311, 249,30,30), // blackness
/* 5 */new Rectangle(466, 63,30,30), // ground layer
/* 6 */new Rectangle(63, 218,30,30), // blank ladder
/* 7 */new Rectangle(156, 218,30,30), // ground ladder
/* 8 */new Rectangle(63, 249,30,30), // skele 1
/* 9 */new Rectangle(94, 249,30,30), // slele 2
/* 10 */new Rectangle(125, 249,30,30), // skele 3
/* 11 */new Rectangle(156, 249,30,30), // cloud 1
/* 12 */new Rectangle(187, 249,30,30), // cloud 2
};
Next update room 1 layout and room 2 layout
protected int[][] room1Layout = new int[][] {
new int[] { 3, 3, 3, 3, 3, 3, 3, 3 },
new int[] { 3, 4, 4, 4, 4, 4, 4, 3 },
new int[] { 3, 4, 4, 4, 4, 4, 4, 3 },
new int[] { 3, 4,11,12, 4, 4, 4, 3 },
new int[] { 3, 4, 4, 4, 4, 4, 4, 2 },
new int[] { 3, 5, 5, 5, 5, 5, 5, 5 }
};
protected int[][] room2Layout = new int[][] {
new int[] { 3, 3, 3, 3, 3, 3, 3, 3 },
new int[] { 3, 4, 4, 4, 4, 4, 8, 3 },
new int[] { 3, 4, 4, 4, 4, 4, 9, 3 },
new int[] { 3, 4, 4, 4, 4, 4,10, 3 },
new int[] { 2, 4, 4, 4, 4, 4, 4, 3 },
new int[] { 5, 5, 5, 5, 5, 5, 5, 3 }
};
Find where we make the rooms, and add 4, 8, 9 and 10 as walkable tiles:
room1 = new Map(room1Layout, spriteSheets, spriteSources, 2, 0, 4, 8, 9, 10);
room2 = new Map(room2Layout, spriteSheets, spriteSources, 0, 2, 4, 8, 9, 10);
The new rooms have adjacent doors. On your own, update the door tiles.
Running the game, you should see these two rooms:
You should be able to walk around without crashing. Confirm that you can walk from room 1 to room 2 and from room 2 from room one. You are ready to proceed when it works.
Refactoring Tile
Go into Tile.cs and add a new public boolean to the Tile
class. Call this bool IsCloud
and give it a default vlaue of false!
Refactoring Game
Back in Game.cs find the code that makes doors. Immediateley after that set the stone platform (11 and 12) to be clouds. Do this by indexing the map array and setting the .IsCloud
bool in the tiles to true. So far nothing has really changed, if you try to run the game the platform is still solid from all sides.
Refactoring PlayerCharacter
In the Left / Right movement, find where we check if the tile is walkable, it looks something like this:
if (!Game.Instance.GetTile(Corners[CORNER_TOP_LEFT]).Walkable) {
We have to edit this check, the new check should be If corner is not walkable AND corner is not cloud. Remember, both left and right have two checks one for the upper corner and one for the lower corner.
Finally, find where the upper collision does that same check. Modify the if statement in the same way.
Run the game, you should be able to do everything you have been able to do before. The big difference is now you can walk under the platform and jump up. It will land you on the platform.
Smooth landing
The only problem we have at this point is when the player passed trough the platform he was snapped to it. This is a jarring action that we want to avoid. Instead we want to go ahead and let him finish the jump.
The key to finishing the jump is going to be in velocity. Where we check if the feet of the player collide with the top of the platform, we are also going to check the platform type. If the platform type is cloud AND the players velocity is negative then we will not clamp.
Find this bit of code:
if (!Game.Instance.GetTile(Corners[CORNER_BOTTOM_LEFT]).Walkable) {
Rectangle intersection = Intersections.Rect(Rect, Game.Instance.GetTileRect(Corners[CORNER_BOTTOM_LEFT]));
if (intersection.Width * intersection.Height > 0) {
// Ground Player
and change it according to the above description. Here is a pseudo code guide to help you get started:
if (!Game.Instance.GetTile(Corners[CORNER_BOTTOM_LEFT]).Walkable) {
Rectangle intersection = Intersections.Rect(Rect, Game.Instance.GetTileRect(Corners[CORNER_BOTTOM_LEFT]));
if (intersection.Width * intersection.Height > 0) {
if ( [Not a cloud] OR [Velocity greater than 0]) {
// Ground Player
All we do is wrap the grounding code in another if statement. Remember, the grounding code exists twice, once for the bottom left and once for the bottom right corner.
What's up with that if statement!?!?! Not cloud || height > 0 ??? I tought we wanted to check is cloud && height < 0!! The thing is, those if statements are logically the same. The logic on each side of the operator is flipped, and so is the operator. This works fine in this case.

Done
This was a fairly quick lesson, this is because adding special case tiles is easy. If you need to create something like a brick for super mario, or a bush for the legend of zelda follow the steps we just took.
- First, you update the tile to contain the new variable.
- Then you update Game to set the new variable.
- Last you update player (or enemy, or game) to handle the new special case tile.


These are a few of my favorite things.
Music
- Black Sabbath
- Pink Floyd
- Neil Young
- And many more...
Food
- Korean BBQ
- Traditional Czech food.
- Mongolian BBQ
- Spam, Spam, Spam, and Eggs
While this is not at all an exhaustive list of things that I love,
it is some stuff that comes to mind first. So it really is a list of some of my favorite things.


Location
1
2
3
4
5
BS
MS
Ph.D.+
F1
OPT
CPT
Citizen/Permenent Resident
intern
Full-time
Part-time
Free-lance
Apply


Time: About 1 hour 15 minutes
Recipe
Clay Pot Pork
Published: March 28, 2011
Related
-
Deep Flavor, No Browning Required (March 30, 2011)
1/3 cup sugar
3/4 cup chicken stock, more if necessary
3 tablespoons fish sauce
3 shallots, thinly sliced
2 cloves garlic, thinly sliced
2 teaspoons minced ginger
1 teaspoon black pepper
1 small fresh chili, minced (optional)
3 scallions, trimmed and thinly sliced on the bias, green and white parts separated
1 1/2 pound boneless pork shoulder (or pork belly) cut into 1-inch cubes
Steamed white rice for serving.
1. Put the sugar in a medium-size heavy-bottomed pot and cook over medium heat, shaking gently every once in a while, until it starts to melt. Start stirring with a fork and continue, crushing clumps of sugar so that the sugar melts evenly. When the sugar is liquid, continue to cook for another minute or so until it darkens, then remove from heat.
2. Combine the chicken stock and fish sauce and carefully add at arm’s length to the sugar (it will splutter and pop). Turn heat to medium high, return sugar mixture to the heat, and cook, stirring constantly, until well combined. (If the sugar clumps when you add the liquid, don’t worry, it will melt again.)
3. Add the shallots, garlic, ginger, pepper, chili if using, and the white portion of the scallions. Cook, stirring frequently, until the shallots are nicely softened, 2 to 3 minutes.
4. Add pork to the pot and bring the liquid to a boil. Reduce the heat to low, partly cover and simmer gently, stirring occasionally and adding a splash of stock or water if the pan looks too dry, until the pork is very tender and the liquid has reduced to a medium-thick sauce, about 1 hour.
5. Remove from heat, add the green part of the scallions, and serve over steamed white rice.
Yield: 4 servings.


Listed below are 5 wonderful reasons that have almost 5 million individuals coming to see the Philippines every year, to take-in the endless miles of beautiful beaches covered in lovely white sand, that grace so many of the Philippines so many islands. The Philippines is an archipelago that has a total of 7,107 islands, with only about 1,000 or so are occupied– as well as many have one picturesque stretch of beautiful white sand. You can find so many gorgeous seaside towns that offer the vacationer so much, that it at times can be a bit tricky on deciding just where it is you would most like to visit. To assist you a bit in getting your vacation off to a good start, we have listed right for you our five most favorite beach towns most visited by foreign tourist and local travelers for the Philippines Islands.
The Blue Lagoon, Pagudpud, Luzon Island
Located in the northern part of Luzon Island is Pagudpud, and is an up and coming tourist destination, in fact this area on many occasions is compared to the island of Boracay, one of the Philippines most famous beach resort areas. However it can be said that Pagudpud is similar to and has the very same great white-sand coastlines and crystal clear blue waters, minus the large groups of tourist and over commercialization that has stated to plague Boracay. The Blue Lagoon, or known by the natives here as Maira-ira Beach is situated in a tiny cove area that offers soft white sand and water with a really beautiful deep blue color, and is really thought to be the most gorgeous beaches located here in the most northern part of the Philippines Islands. As of lately the Blue Lagoon has started to garner some attention as a go-to location for worldwide vacationers, and so many huge resorts have begun to develop at this awesome location.
El Nido Islands of, Palawan
For the year of 2015 the islands of El Nido has won the top position for "10 Most Beautiful Beaches in the world" from the world renowned Condé Nast Traveler. Palawan is a beautiful island filled paradise is also known for having the "Finest Beach and also Island Destination" by CNNgo. El Nido is where 50 or so islands that just happen to offer so many white sand coastlines to be found anywhere in the world, El Nido has significant sedimentary rock developments that shoot straight to the sky, bright blue-green water and incredible evening sunsets that offer magical photographs.
El Nido is a quite coastal town with a small community, and is considered by CNN Travel to be and entryway that will take you on a fantastic journey through the Philippines. Not only is El Nido beautiful, it also offers privacy from many of it's white beach coastlines, and another special note, some of the beautiful areas of El Nido Palawan were shown toward the end of the Bourne movie staring Jeremy Renner.
The warm tropical waters of El Nido are also where 50 varieties of marine life thrive among the many coral reefs, that bring into the area sea-cows, whales, as-well-as some sea turtles that are endangered, which makes El Nido a scuba diver's paradise.
Palaui Island, Cagayan Valley
An additional acclaimed area, Palaui is recognized for its untainted beaches and also the Cape Engaño Lighthouse, a historical Spanish colonial lighthouse that rests atop a hill, 300 feet over sea level. Palaui Island is a National Marine Reserve and is tough to obtain to, which is why tourists value its privacy. When it comes to the aquatic park, which has 17,660 acres, it's a great site for snorkeling and also diving since it is so distant. There are no resorts, so if you wish to remain, you'll have to camp or find a home stay.
Tubbataha Reefs Natural Park, Palawan
One of the most awesome attractions found here in the Philippines is the Tubbataha Reefs Natural Park (Bahurang Tubbataha) which is a UNESCO World Heritage Site situated at the center of the Sulu Sea, and just off southeast side of the island of Palawan. This aquatic as well as bird refuge is actually not beach community or even an island for that matter, however two atolls that are very big– the South Atoll as well as the North Atoll– are where more than 600 varieties of fish, coral reefs varieties that total 360, 11 shark varieties, 13 whale and dolphin varieties and also 1,100 species of tropical birds call home.
It should be noted that Tubbataha Coral Reef is really one of the most impressive coral reefs in the world, with CNNgo ranking it among the leading 8 scuba diving sites on the planet.
Boracay, White Beach
The pure snow white sand as well as crystal-clear blue waters of Boracay Island do draw beach worshipers in droves from all corners of the world. At simply 4.5 miles long, the island of Boracay is home to over 13 beautiful stunning coastlines all covered in soft white sand, and not to mention the award-winning Boracay White Beach. Based on International Living, Boracay is likewise a scuba diver's heaven. White Coastline gets its name from the soft white sand and also is the location most regularly associated with Boracay, a 50-minute air travel from Manila, the main gateway into the Philippines. The very best time to visit the White sand beach of Boracay Island is during the completely dry season, which is for the months of October through May.


Located on the north coast of Antigua. There a marked channel leading into the harbour from just off Maiden Island. Not advisable to either enter or leave except in daylight. Originally this was the island's principal harbour.
Position 17° 08'N, 61° 46'W.
There is a Customs post and and Immigration office here.
See the main Noonsite/Antigua/Formalities page for full details.
Last updated October 2015.
This is a well sheltered anchorage. There is a shallow (5ft) berth at the jetty just east of Myers Cove and a hurricane hole in the mangroves on the south eastern side of the harbour with a 2m dredged entrance.
The best hurricane storage is at North Sound Marine services which has dedicated tie-downs.
Last updated August 2015.


Runs the MSBuild build tool of Microsoft's .NET framework 2.0.
Unlike the nant task, this task doesn't support nested build files. MSBuild requires a certain default namespace and there is no easy way to write an XML file of that type within Ant 1.6.x - without repeating code that is already present in Ant 1.7 or some ugly hacks, that is. Use the Ant 1.7+ version of this antlib and Ant 1.7+ if you want nested build file snippets, alternatively use the echo task to write the build file (see example below).
If you don't specify a build file, MSBuild's default build file search algorithm will apply.
| Attribute | Description | Required |
| buildfile | External build file to invoke MSBuild on. | No. |
| vm | Same as dotnetexec's vm attribute. Specify the framework to use. | No. |
target
has a single required attribute name -
specifies a target to be run.
property
has two required attributes. name and
value that specify name and value of a property that is to be
defined in the MSBuild invocation.
Let MSBuild search for a *.proj file in the (Ant) project's base directory and execute the default target in it:
<msbuild/>
Let MSBuild execute the targets named foo and bar in the build
file msbuild.proj in Ant's basedir and pass the property
/property:test=testvalue
to it:
<msbuild buildfile="msbuild.proj"> <target name="foo"/> <target name="bar"/> <property name="test" value="testvalue"/> </msbuild>
Define a build file embeded into an Ant build file, let MSBuild execute the echo target of that build file.
<tempfile property="ms.proj" suffix=".proj"/> <echo file="${ms.proj}"><![CDATA[ <Project DefaultTargets="echo" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> <Target Name="echo"> <Message Text="This is MSBuild"/> </Target> </Project>]]></echo> <msbuild buildfile="${ms.proj}" xmlns="antlib:org.apache.ant.dotnet" /> <delete file="${ms.proj}"/>
Copyright © 2003-2005 The Apache Software Foundation. All rights Reserved.


stagerunner.remember
for always switching off intermediate progress, e.g., when running jobs on a machine that never needs replay capability.stageRunner
, stageRunnerNode
, and treeSkeleton
reference classes to use R6 classes, in preparation for public release of the package.is_pre_stagerunner
helper function that returns TRUE or FALSE according as an object can be transformed into a stageRunner.tracked_environment
object as the context
to a stageRunner
will result in much smarter memory management of environment changes as you run its stages (objectdiff uses clever patching functions to record only changes to an environment as it is being modified; without this logic, a stageRunner has to copy an environment in full on each executed stage, which is especially expensive if you are manipulating large data sets).


The method ggdmc adapts different factorial designs is to use Boolean model matrices, which associate experimental conditions with latent variables / model (free) parameters. The model parameters are often designed to account for cognitive operations that cannot be directly observed. Three examples are the rate of the degradation of memory strength, the rate of (sensory) evidence accumulation, and the response threshold.
Take regression models for example. One might be interested in examining intercepts and slopes, the two regression model parameters by themselves usually do not carry psychological meanings. Of course, one can construct a framework to harness the (regression) model parameters. For example, in traditional visual search studies, mean response times (MRTs) are often associated with the display sizes and the slopes of the MRT-Display size function were conveniently interpreted as search efficiency (Treisman & Gelade, 1980). This was useful strategy as a staring point, but needs further refinement to get more insights (e.g., to understand speed-accuracy trade-off issue, serial vs. parallel processing etc.).
It is therefore and often needed to refine the basic regression model to further accommodate many intricate cognitive constructs. ggdmc hard-wires, the diffusion decision and the linear ballistic models and applies the method of Boolean matrices to serve the purpose of adapting factorial designs and that of accounting for latent variables of RT models.
The first step in ggdmc is to set up a 3-D model array.
Build Models
BuildModel creates a model array, which composes of many model matrices. Each of them represents a response. The content of a model matrix indicates the correspondence of parameters and design cells. For example, if a data set has a two-level stimulus factor, affecting the drift rate (as in DDM), a model matrix will have two drift rate parameters, say, v.d1 and v.d2 (d stands for difficulty). One could understand this idea of correspondence between an experimental factor and its parameter mapping by examining the following example.
Example 1
In this example, I used the LBA model (Brown and Heathcote, 2008) to illustrate, fitting data from a single participant. The LBA’s B parameter depends only on response (R). The mean and the standard deviation of the drift rates depends on M (matching) factor. The experimental design has one two-level stimulus factor (S). The following model presumes the S factor has no effect on any model parameter. The accuracy is determined by S and R. The M factor is a specific latent factor just for the LBA model.
model <- BuildModel(
p.map = list(A = "1", B = "R", t0 = "1", mean_v = "M",
sd_v = "M", st0 = "1"),
match.map = list(M = list(s1 = "r1", s2 = "r2")),
factors = list(S = c("s1", "s2")),
constants = c(sd_v.false = 1, st0 = 0),
responses = c("r1", "r2"),
type = "norm")
p.map means parameter map. match.map matches the stimulus type to the response type to determine if a response is correct or error. factors means experimental factors, constants specifies which model parameter to fix as constant values. This is to enforce model assumptions. responses indicates response types, by specifying character strings or numbers. Lastly, type specifies the model types, such as the diffusion decision model (rd) or the LBA (norm).
For illustration purpose, I simulated some realistic response time data. I made up a true parameter vector. This is usually unknown and estimated from data.
p.vector <- c(A = .75, B.r1 = .25, B.r2 = .15, t0 = .2, mean_v.true = 2.5,
mean_v.false = 1.5, sd_v.true = 0.5)
print will show the model array together with its attributes that have been added into in the BuildModel step.
print(model)
## r1
## A B.r1 B.r2 t0 mean_v.true mean_v.false sd_v.true sd_v.false st0
## s1.r1 TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE
## s2.r1 TRUE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE
## s1.r2 TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE
## s2.r2 TRUE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE
## r2
## A B.r1 B.r2 t0 mean_v.true mean_v.false sd_v.true sd_v.false st0
## s1.r1 TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE
## s2.r1 TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE TRUE
## s1.r2 TRUE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE
## s2.r2 TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE TRUE
## model has the following attributes:
## [1] "dim" "dimnames" "all.par" "p.vector" "pca" "par.names"
## [7] "type" "factors" "responses" "constants" "posdrift" "n1.order"
## [13] "match.cell" "match.map" "class"
print, when supplied with a true parameter vector, will show how the factorial design is assigned to model parameters. Understanding the assigning process is an advanced topic. I will return to it at a different tutorial. Note that I, using Brown and Heathcote’s (2008) convention, differentiate the lowercase b and uppercase B in the LBA model. The former means the threshold parameter, and the latter is the travel distance parameter. The LBA model assumes b = A + B.
print(model, p.vector)
## "s1.r1"
## A b t0 mean_v sd_v st0
## 0.75 1.0 0.2 2.5 0.5 0
## 0.75 0.9 0.2 1.5 1.0 0
## "s2.r1"
## A b t0 mean_v sd_v st0
## 0.75 1.0 0.2 1.5 1.0 0
## 0.75 0.9 0.2 2.5 0.5 0
## "s1.r2"
## A b t0 mean_v sd_v st0
## 0.75 0.9 0.2 1.5 1.0 0
## 0.75 1.0 0.2 2.5 0.5 0
## "s2.r2"
## A b t0 mean_v sd_v st0
## 0.75 0.9 0.2 2.5 0.5 0
## 0.75 1.0 0.2 1.5 1.0 0


Web Developer with a strong front-End and Back-End Skills, that loves to develop perfect solutions with agile methods, clean code and newest technologies.
The real language of love is graphic design—a visual language with the power to attract, engage, persuade, and move people to their cores.
My love of art and drawing while growing up planted the seeds that led me to become a graphic designer. I’ve learned so much along the journey from boy-who-loves-to-draw to professional graphic designer.
A quick learner and Extremely talented individual who can absorb new ideas and can communicate clearly and effectively.


[name]
Math utility functions
Properties
Methods
[method:Float clamp]( [page:Float value], [page:Float min], [page:Float max] )
value — Value to be clamped.
min — Minimum value
max — Maximum value.
Clamps the *value* to be between *min* and *max*.
[method:Float mapLinear]( [page:Float x], [page:Float a1], [page:Float a2], [page:Float b1], [page:Float b2] )
x — Value to be mapped.
a1 — Minimum value for range A.
a2 — Maximum value for range A.
b1 — Minimum value for range B.
b2 — Maximum value for range B.
Linear mapping of *x* from range [*a1*, *a2*] to range [*b1*, *b2*].
[method:Float random16]()
Random float from 0 to 1 with 16 bits of randomness.
Standard Math.random() creates repetitive patterns when applied over larger space.
[method:Integer randInt]( [page:Integer low], [page:Integer high] )
Random integer from *low* to *high* interval.
[method:Float randFloat]( [page:Float low], [page:Float high] )
Random float from *low* to *high* interval.
[method:Float randFloatSpread]( [page:Float range] )
Random float from *- range / 2* to *range / 2* interval.
[method:Float degToRad]( [page:Float degrees] )
degrees -- [page:Float]
Converts degrees to radians.
[method:Float radToDeg]( [page:Float radians] )
radians -- [page:Float]
Converts radians to degrees
[method:Float lerp]( [page:Float x], [page:Float y], [page:Float t] )
x -- Start point.
y -- End point.
t -- Closed unit interval from [0,1].
Returns a value interpolated from two known points based on the interval.
[link:https://en.wikipedia.org/wiki/Linear_interpolation Wikipedia]
[method:Float smoothstep]( [page:Float x], [page:Float min], [page:Float max] )
x -- The value to evaluate based on its position between min and max.
min -- Any x value below min will be 0
max -- Any x value above max will be 1
Returns a value between 0-1 that represents the percentage that x has moved between min and max, but smoothed or slowed down the closer X is to the min and max.
[link:http://en.wikipedia.org/wiki/Smoothstep Wikipedia]
[method:Float smootherstep]( [page:Float x], [page:Float min], [page:Float max] )
x -- The value to evaluate based on its position between min and max.
min -- Any x value below min will be 0
max -- Any x value above max will be 1
Returns a value between 0-1. It works the same as smoothstep, but more smooth.
Source
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


The Open Source Movement
A Computer Science Seminar (CSC630) taught at Phillips Academy. Winter 2018.
Assignments
Resources
Git Cheatsheet
Essays
Projects
On GitHub


The are numerous applications of machine learning out in the world and many more are being developed, I particularly like the clustering algorithms. In this post I would like to explore one of the most useful of supervised clustering algorithm, The Naive Bayes’ Classifier.
In the post I will be using an example project that I am working upon as the default example. So what does the algorithm do.
In simple words it computes the probabilities of the the test case to lie in one of “clusters” with a specific probability. Let me go with the example to describe at what we are trying to achieve.
Problem: Given an input paragraph we need to classify it as Argumentative, Narrative, Expository or Descriptive
Solution:
- Training Set
Collected the training data set of different paragraphs already classified already in the given four categories. - Feature Extraction
We Extract the features from the training database to generate a feature vector i = (f1,f2,….)i for each ith point in the training dataset, this in our case are language features. - Supervised Clustering Algorithm(Naive Bayes')
This is what the tutorial is about, we need to make four clusters(one for each para type) in the feature vector space. And this is what we will talk about in the tutorial. - Input Result
This is the moment of truth we put in few known test cases we get their probabilities of lying in the clusters and see the accuracy of our algorithm, based on these results we decide on the modification that might be required in the training dataset.
So let’s first go through what the Bayesian approach of classification!
Now, you might be thinking yeah this makes sense we take the classes in our example as the types of paragraphs and the data being the input. But we cannot input an paragraph we input a set of features which makes d a vector. So the next thing we look at is how to deal with the multidimensional input, that is like in our case a number of features.
There are many methods to approach this problem, but one of the most simple being is that we assume that each feature have an independent distribution (or is Naive). In our example the features we are likely to choose are something like, “number of certain punctuation per total words”,”number of stress adjectives per total words”,”average sentence length” etc. What we notice is that these all intuitively are more or less not dependent on each other, there will be few dependencies obviously but nothing that we can’t ignore :P. To summarize we have the probabilities expressed as.
This settles the defining of our model and this is what the Naive Bayes’ Classifier is. Now we just need to predict the probability distribution of the features, this is usually chosen to be a Gaussian model with some w=varying parameter, we need to tune the parameter using some kind of techniques like maximum likelihood estimation. For more insight on this topic I suggest you have a look at few YouTube videos which are really amazing, one such short explanation is given here.
Lets put this tutorial to test, I have four clusters and many features for classifying the paragraphs, the project is still ongoing and will get finished real soon.
Finally let us discuss the advantages and limitations of this classifier
ADVANTAGES
- Fast to train. Fast to classify.
- Not sensitive to irrelevant features.
- Handles real as well as discrete data.
- Handles data streaming well.
LIMITATION
- Assumes independence of features and hence it does not capture the mutual dependence of features which might be present.
This concludes this really brief introduction!
Thank You!


Hong Kong police enter university campus held by protesters
Police had fired repeated barrages of tear gas and water cannon at protesters outside the campus.
Police stormed into a Hong Kong university campus held by protesters after an all-night siege that included firing repeated barrages of tear gas and water cannon.
Anti-government protesters barricaded themselves inside Hong Kong Polytechnic University for days, fighting back with petrol bombs and bows and arrows.
Police surrounded the area on Sunday night and began moving in after issuing an ultimatum for people to leave the area. The crowd wore raincoats and carried umbrellas to shield themselves.
Riot officers broke in before dawn as fires raged inside and outside the school.
Earlier in the day, protesters used bows and arrows, and one arrow struck a media liaison officer in the calf.
Photos on the department’s Facebook page show the arrow sticking out of the back of the officer’s leg through his trousers.
As riot police moved in from all sides, some protesters retreated inside the university. Others set fires on bridges leading to it.
A huge blaze burned along much of a long footbridge that connects a train station to the campus over the approach to the Cross-Harbour Tunnel, a major road under Hong Kong’s harbour that has been blocked by the protesters for days.
The use of bows and arrows and catapult-launched petrol bombs threatened to escalate the violence in the more than five-month anti-government movement.
Protesters are trying to keep the pressure on Hong Kong leaders, who have rejected most of their demands.
The protests were sparked by proposed legislation that would have allowed the extradition of criminal suspects to the mainland.
Activists saw it as an erosion of Hong Kong’s autonomy under the “one country, two systems” formula implemented in 1997, when Britain returned the territory to China.
The bill has been withdrawn, but the protests have expanded into a wider resistance movement against what is perceived as the growing control of Hong Kong by Communist China, along with calls for full democracy for the territory.


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On Erlang, concurrency, parallelism and Haskell
Disclaimer
Please note that I have zero experience in Haskell, so these statements are all assumptions based on an afternoon of study. I will probably prove myself wrong pretty soon.
#Intro
This is a series of tweets that I consider interesting for future reference, so I decided to put them in a blog post:
@ToJans @ptomasroos And the 140-character summary is..?
— Graeme Foster (@GraemeF) September 5, 2013
Answer
Remark: I initially included the original tweets, but this was unreadable, so I now just show the lines; they are clickable to get the original tweet:
- Haskell sparks share state and are cheaper and more fine-grained then erlang processes who share nothing.
- Strong typing in Haskell allows the compiler to parallelize code, while Erlang is concurrent & soft-realtime.
- In Erlang, a process is "an atom", while in Haskell, a function call is…
Clarification: by “Atom”, I mean the smallest possible part that can be split on a single thread; in Erlang these are processes, in Haskell these are sparks (i.e. function calls.)
- So if you talk about a few processors, Erlang will be fast, but if you talk about 100s of processors, Haskell wins!
- OTOH Erlang has OTP with a huge amount of manyears in it, while the thing in Haskell is nowhere near as mature.
- The guess is that Erlang will win on the short term, but Haskell might actually win as proc count rises ^ in the future
- Erlang allows concurrency, but not parallelism on the function call level, only on the process level
- While this makes no difference with the current amount of cores, it might make a big difference with > n^2 cores!
- So Erlang allows you to run programs concurrently, but currently only Haskell can give you true parallelism
- The idea is retrofitting a type system - that probably would be required for implementing parallelism - is too hard.
Summary
In Erlang, the smallest parallelizable unit is a process, while in Haskell, a function call (aka spark) can be, because function calls can share immutable state over several processes, so it has the best of both worlds.
A big plus on the Erlang side of things however, is the “Let it crash approach”, and while the probability for bugs might be way lower due the type system, a bug might still occur, and that is actually one of the strengths of the Erlang/OTP system: it requires no defensive programming at all.
First consideration when writing an app: "How do I want this to crash?" - @duomark
— Tom Janssens (@ToJans) September 5, 2013
The educated guess is that, as the numbers of processors goes up, the requirement for having a language that offers true parallelism (like Haskell) might actually win…
So we still think that at this moment Erlang is the best choice, but in the future our bets would be on Haskell or similar tools.
Update
Looks like I have some more reading to do:
@ToJans @ErlangInfo @GraemeF @ptomasroos Haskell has so much more than sparks. Check out https://t.co/6cyqsLK7tb
— Bob Ippolito (@etrepum) September 5, 2013


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Project Wizard. Adding Support for Creating New Project Types.
Project Wizard
Working with the project wizard can be illustrated with the RedLine SmallTalk plugin
Implementing New Module Type
Additional support for specific tools and technologies is usually done via implementing some certain module type which is attached to the project.
New module type should be derived from the class
ModuleType
.
Project Wizard
Main utilities to configure a custom project wizard can be found in the package lang-api.ide.util.projectWizard. These classes and interfaces serve the following purposes:
- Modification of the configuration wizard view
- Adding new steps to the wizard
- Providing additional setting for project creation
- Handling activities during project creation
- Initial environment configuration
Module Type
To create a new module type and an extension
<moduleType id="MY_MODULE" implementationClass="st.redline.smalltalk.module.MyModuleType"/>
to the
plugin.xml
.
A custom module type should extend the
ModuleType
generic from
ModuleBuilder
.
The following
module type implementation
of a custom module type show how this instance can be registered and implemented.
Implementing Module Builder
To set up a new module environment
ModuleBuilder
class should be extended and registered as an extension point like the following snippet shows:
<extensions defaultExtensionNs="com.intellij">
<moduleBuilder builderClass="org.jetbrains.plugins.ruby.rails.facet.versions.MyModuleBuilder"/>
</extensions>
Functionality which is mandatory to implement consists of:
-
Setting up a root model for the new module by overriding
public abstract void setupRootModel(ModifiableRootModel modifiableRootModel) throws ConfigurationException;
-
Getting a module type
public abstract ModuleType getModuleType();
See
JavaModuleBuilder
to understand better how to implement a module builder.
If your module type is based on the java module and meant to support Java as well, extending
JavaModuleBuilder
is enough.
No extension point needs to be registered.
Refer to
SmallTalk module type
to see how
JavaModuleBuilder
can be derived.
Implementing Module Builder Listener
Module builder listener reacts on a new module creation, which could be done either as a part of the project creation process,
or as adding a new module to the already existing project.
To provide a certain behavior right after a module has been created, module builder should implement
ModuleBuilderListener
Method
public void moduleCreated(@NotNull final Module module);
executed tasks right after a module has been created, these may include configuring roots looking up for an SDK and setting it up, adding a specific facet if required and others. For more details please see the following SmallTalk custom module type implementation.
Adding New Wizard Steps
Adding new steps to the module wizard can be done by overriding the
public ModuleWizardStep[] createWizardSteps(WizardContext wizardContext, ModulesProvider modulesProvider);
method in a custom
module builder.
If this method returns a non-empty array of ModuleWizardStep objects, new steps will be shown in their indexing order while creating a new module.
The following
implementation
for the SmallTalk project type illustrates how a custom wizard step can be created.
The
RsModuleWizardStep
class is derived from
ModuleWizardStep
,
which has two methods to be overridden:
-
public JComponent getComponent();
defines how the step will look like
-
public void updateDataModel();
commits data from UI into ModuleBuilder and WizardContext
Facet
Facets in IntelliJ are the way to store multiple kinds of module-specific settings, for instance to make a language support or framework available in some given module. To understand facets better from the point of view of an end-user, please see Facet documentation section.
Implementing Project Structure Detector
To support the creation of your module when a project is imported from existing sources, extend ProjectStructureDetector
.
To detect your files your module supports implement
public abstract DirectoryProcessingResult detectRoots(@NotNull File dir, @NotNull File[] children, @NotNull File base,
@NotNull List<DetectedProjectRoot> result);
Refer to the Smalltalk project structure detector
But detecting the files is not enough, you also need to create a module for the project if appropriate by implementing setupProjectStructure()
. Here is an example that creates a module if no other modules exist in the project structure.
@Override
public void setupProjectStructure(@NotNull final Collection<DetectedProjectRoot> roots,
@NotNull final ProjectDescriptor projectDescriptor,
@NotNull final ProjectFromSourcesBuilder builder)
{
List<ModuleDescriptor> modules = projectDescriptor.getModules();
if (modules.isEmpty())
{
modules = new ArrayList<>();
for (DetectedProjectRoot root : roots)
{
modules.add(
new ModuleDescriptor(root.getDirectory(), MyModuleType.getInstance(),
ContainerUtil.emptyList()));
}
projectDescriptor.setModules(modules);
}
}


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Sensely: Office Automation with the Internet of Things and Python
10:00 AM - 10:25 AM on July 17, 2016, Room CR5Luigi Patruno
- Audience level:
- intermediate
- Watch:
- https://www.youtube.com/watch?v=Cxc7vrjXQOo
Description
Many of us have heard the hype surrounding the Internet of Things (IoT). Leveraging a network of wireless sensors to facilitate decision making with real-time data does sound awesome, but how do I get started? In this talk we’ll examine the wireless sensor network my team created for office automation in a 24 hour company sponsored hackathon. Along the way you’ll learn how to connect real sensors to the NodeMCU IoT platform, transmit information over a network using the MQTT messaging protocol, aggregate data with a Dockerized Python microservice, and display it in real-time with various Python packages. By the end of the talk you’ll be ready to set up a sensor network of your own for some home or office automation!
Abstract
In this talk we’ll examine how my team built a wireless sensor network in 24 hours with less than $300 and a bunch of Python. We’ll introduce the hardware and networking components of the project and see how to tie it all together with various open source Python packages including Flask, paho-mqtt, and psycopg2.


Text Mining Mini Project
frantonlin/facebook_links.py
Great Job! Thanks for always trying so hard. For future reference, pickle files shouldn't be saved to Github, but in this case, it's more okay. I have some comments about your code below. It's getting much better than before, and you're doing a lot better than others, but there are still things you should improve on. These won't affect your grade (at least not this time).
"""
Created on Sun Feb 22 13:41 2015
@author: Franton Lin
"""
import re
import cPickle
from pattern.web import Facebook, NEWS, COMMENTS, LIKES, FRIENDS
import csv
import matplotlib.pyplot as plt
import numpy as np
# removed my key
def fetch_data(data="facebook.pickle", friends_count=1000, news_count=100, key='REMOVED MY KEY'):
""" Fetches link data from given key for the specified number
of friends and the specified number of posts and saves it
to a facebook.pickle file
data: name of data file to save to (default: facebook.pickle)
friends_count: number of friends to search through (default: 1000)
news_count: number of each friends' posts to search through (default: 100)
key: the key for pattern to access Facebook
"""
print "Fetching data..."
# Get the data
fb = Facebook(license=key)
me = fb.profile()
print me
counter = 1;
link_counts = {"num_posts":0, "num_links":0, "num_texts":0}
my_friends = fb.search(me[0], type=FRIENDS, count=friends_count)
for friend in my_friends:
print counter
Yikes, random print statements? You don't need these anymore, right?
counter += 1
friend_news = fb.search(friend.id, type=NEWS, count=news_count)
Getting specific posts from friends can be another function.
for news in friend_news:
link_counts["num_posts"] += 1
if news.url:
link_counts["num_links"] += 1
if news.url in link_counts:
link_counts[news.url][0] += 1
link_counts[news.url][1] += news.likes
else:
link_counts[news.url] = [1, news.likes]
# Save the data to a file
f = open(data,'w')
cPickle.dump(link_counts,f)
f.close()
You can use a with statement here to prevent having to close after you open.
def process_data(data='facebook.pickle'):
""" Processes link data from given .pickle file by calculating
frequencies and cumulative likes
data: the .pickle file name to process (default: facebook.pickle)
"""
print "Processing data..."
# Load the data from a file
input_file = open(data,'r')
link_counts = cPickle.load(input_file)
# Process the data
short_counts = {"num_posts":link_counts["num_posts"], "num_links":link_counts["num_links"]}
for url in link_counts:
# print url
if url != "num_posts" and url != "num_links" and re.match('http',url): # not a post counter and is a valid URL
if "facebook" in url: # most cases of Facebook related URLs
if "video.php" in url: # shared video
short_url = re.search('//[^\t\n\r\f\v]*video.php', url).group()[6:]
elif "/photos/" in url: # shared photo
short_url = re.search('//[^\t\n\r\f\v]*photos', url).group()[6:]
elif "posts" in url: # link to post
short_url = re.search('//[^\t\n\r\f\v]*posts', url).group()[2:]
elif re.match('https*://www.facebook.com/[^\t\n\r\f\v/]*',url): # profile
short_url = re.search('//[^\t\n\r\f\v]*', url).group()[2:]
else: # other mystery case
short_url = re.search('//[^\t\n\r\f\v/]*/', url).group()[2:-1]
else:
if "fbcdn-" in url: # one instance of Facebook photos
list_url = list(re.search('//[^\t\n\r\f\v/]*/', url).group()[2:-1])
list_url[14] = '*'
list_url[16] = '*'
short_url = "".join(list_url)
elif "scontent.xx.fbcdn.net" in url: # another instance of Facebook photos (combining them)
short_url = "fbcdn-sphotos-*-*.akamaihd.net"
elif "youtu" in url: # youtube
short_url = "youtube.com"
elif "imgur" in url: # imgur
short_url = "imgur.com"
elif "//t." in url: # twitter
short_url = "twitter.com"
elif re.search('flic.?kr', url): # flickr nyti.ms vs mytimes.com, es.pn vs espn.go.com
short_url = "flickr.com"
elif "//m." in url: # mobile links
short_url = re.search('//[^\t\n\r\f\v/]*/', url).group()[4:-1]
elif url[-1] != "/" and "/" not in re.search('//[^\t\n\r\f\v]*', url).group()[2:-1]: # url without '/' at end
short_url = re.search('//[^\t\n\r\f\v/]*', url).group()[2:]
else: # every other case
if "//www2" in url: # remove www.
short_url = re.search('//[^\t\n\r\f\v/]*/', url).group()[7:-1]
elif "//www" in url:
short_url = re.search('//[^\t\n\r\f\v/]*/', url).group()[6:-1]
else:
short_url = re.search('//[^\t\n\r\f\v/]*/', url).group()[2:-1]
Good effort... I'm not sure what to say here. First thing you can do is compile your regex's before you use them a million times. It'll be faster. As to the method of determining what these links are... meh. You're probably okay.
# update the counter dictionary
if short_url in short_counts:
short_counts[short_url][0] += link_counts[url][0]
short_counts[short_url][1] += link_counts[url][1]
else:
short_counts[short_url] = link_counts[url]
sort_list = [(k, v[0], v[1]) for k, v in short_counts.iteritems() if k != "num_posts" and k != "num_links"]
num_entries = 15
# Sort from highest to lowest number of posts
sort_list.sort(key=lambda tup: tup[1], reverse = True)
# Plot number of posts
plot_bar_graph([tup[0] for tup in sort_list[:num_entries]], "URL",
[tup[1] for tup in sort_list[:num_entries]], "Number of Posts",
num_entries, "Top 15 URLs \nwith Highest Number of Posts")
# Sort from highest to lowest cumulative likes
sort_list.sort(key=lambda tup: tup[2], reverse = True)
# Plot cumulative likes
plot_bar_graph([tup[0] for tup in sort_list[:num_entries]], "URL",
[tup[2] for tup in sort_list[:num_entries]], "Cumulative Likes",
num_entries, "Top 15 URLs \nwith Highest Cumulative Likes")
# Sort from highest to lowest average likes per post
sort_list.sort(key=lambda tup: float(tup[2])/tup[1], reverse = True)
# Plot average likes per post
plot_bar_graph([tup[0] for tup in sort_list[:num_entries]], "URL",
[float(tup[2])/tup[1] for tup in sort_list[:num_entries]], "Average Likes per Post",
num_entries, "Top 15 URLs \nwith Highest Average Likes per Post")
So much repetition here. DRY (Don't repeat yourself) - make functions.
# Print the results
#for item in sort_list:
# print (item[0] + ":").ljust(65) + str(item[1]) + " posts, " + str(item[2]) + " likes"
print "num_posts: " + str(short_counts["num_posts"])
print "num_links: " + str(short_counts["num_links"])
def plot_bar_graph(x_data, x_label, y_data, y_label, num_entries, title): # photos 22 average likes per post
""" Plots a bar graph from given data and labels
x_data: the x axis data
x_label: the label for the x axis
y_data: the y axis data
y_label: the label for the y axis
num_entries: the number of entries to plot
title: the title of the graph
"""
print "Graphing data..."
fig = plt.figure(figsize=(12, 9))
ax = plt.subplot(111)
index = np.arange(num_entries)
bar_width = 0.7
rects =ax.bar(index, y_data, bar_width, color='b')
plt.xlabel(x_label, fontsize=28)
plt.ylabel(y_label, fontsize=28)
plt.title(title, fontsize=32, fontweight='bold')
plt.tick_params(axis='both', which='major', labelsize=18, bottom='off', top='off')
plt.xticks(index + bar_width/1.2, x_data, rotation=45, ha='right')
plt.ylim([0, max(y_data)+max(y_data)%(10**(len("%.f"%max(y_data))-1))/2])
# Value labels on top
for i, rect in enumerate(rects):
height = rect.get_height()
plt.text(rect.get_x()+bar_width/2, height + len("%.f"%max(y_data)), "%.f" % (y_data[i]),
fontsize=12, ha='center', va='bottom')
plt.tight_layout()
plt.show()
#fetch_data()
process_data('facebook_1000_250.pickle')
If you're using pickle, you should have an if statement that checks if you need to refetch data before you pull from the pickle. Your code should run properly each time without having to uncomment things. Right?


---
layout: post
title: signage graphic design for the set of grand
date: '2016-12-17T12:23:29+01:00'
categories:
- Grand Froid
- Graphic Design
- Set Design
- Props
picture_url: https://film-Storyboards.tumblr.com/post/154596483721/signage-graphic-design-for-the-set-of-grand
---
Signage, graphic design for the set of Grand Froid. The light box was printed on plexi while the boutique signs were hand painted by a sign artist.


Welcome to the {{site.title}}, a site for sharing and distributing information on soil organic matter research.
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This page displays placeholder data and images pulled from a public testing webservice: JSONPlaceholder. To change the album being displayed, add /number to the URL for this page or use the ?album=number query parameter. Any number between 1 and 100 is valid.


A delay effect is often thought of as an “echoing” sound. However digital delay lines are also used to make other effects such as comb filters. The main concept that these effects rely on is feedback.
Feedback is, intuitively, just taking the output of a process and adding the output to any new input back at the beginning. However, if we take all of the output and keep adding it to all of the input then we are in danger of the filter “blowing-up” - ie. getting rapidly and uncontrollably louder. You may have experienced this if you’ve ever held a microphone close to a speaker which is outputting the sound of the mic. This ability to make an everlasting loop illustrates why feedback filters are called “Infinite Impulse Response” (IIR) filters.
To control this feedback we can multiply the returning output by a scale factor ( <= 1). This insures we don’t get a full scale version of the output going back into the input. We’ll call this scale factor “fb level”.
￼
So the diagram above is simple enough, but it doesn’t actually tell us anything about how to cause the delay to happen. It’s just a “black box”. So, how can we implement it? First let’s look at how you might do it with one sample of delay. To do this we’ll first introduce a bit of terminology that you may know already:
We’ll call our input signal x and out output signal y.
To talk about a specific sample in ether we will just identify the specific sample in brackets, for example x(10), or y(3).
For a general sample in the signal we will use n. Samples relative to this can be referred to in relation to n, for example x(n-1) would be the input from one sample in the past, y(n+4) is the output from 4 samples in the future.
Right, so lets get back to the single sample delay. We can make this by just holding the previous output sample y(n-1) as a variable. Each cycle we’ll take that saved output from last time, perform calculations with it, and then save the new output for the next cycle to play with. Below is a diagram of the process by which this works.
This system works fine for one sample of delay. But what if we want longer delays? While it is conceivable to set up more storage variables (storeYn_2, storeYn_3, storeYn_4, etc) and then shuffle the values through this chain of storage every cycle, this would quickly become messy and computationally expensive.
The standard solution is to introduce another buffer to the system. This buffer operates in a special way, and is known as a circular buffer. As the name suggests, this buffer loops round - when the pointer that accesses it gets to the end it just loops back to the beginning. The value of this may not be immediately clear, but will become so as we go.
Imagine this circular replacing the storeYn_1 variable in the diagram above. Now rather than having to use the y(n-1) value, the y(n) from previous cycle, we can choose the output of any previous cycle: y(n - D). The only limit is the size of our buffer. The animation below shows the circular buffer working with a delay of 3 samples:
And that, theoretically, is pretty much it! One other thing to be aware of is that you’ll want to provide a wet/dry control for the delay. This is so you can hear some of the original sound alongside the delay (as you would in reality).
Right, lets try throwing this together in iPlug so we can export it as a Audio Unit (or VST, etc). You’ll need to clone a branch of the WDL framework for iPlug if you haven’t already. WDL-OL is probably the most popular one, maintained by Oli Larkin . I’m using Youlean’s branch at the moment because of it’s support for a nice graphics library called Cairo. Ether will do fine.
I’m not going to spend ages here explaining how to set-up iPlug with your IDE of choice, there are other guides that would explain it better. Martin Finke’s blog is helpful for this. If you want to build this as a VST then you will need to install the VST SDK from Steinberg. Again, Martin’s great tutorial has easy-to-follow explanations for all of this.
We’ll start be duplicating the IPlugEffect example in the IPlugExamples folder. This can be done with the duplicate.py script in the same folder. Launch a terminal window, navigate to the IPlugExamples folder and run the following command:
./duplicate.py IPlugEffect/ DelayPlugin YourName
After duplicating the IPlugEffect the script will tell you to change the PLUG_UID and MFR_IUD. Open the duplicate project and, in the resource.h file change those to something - whatever you like (4 character codes):
…
// http://service.steinberg.de/databases/plugin.nsf/plugIn?openForm
// 4 chars, single quotes. At least one capital letter
#define PLUG_UNIQUE_ID ‘DDLP’
// make sure this is not the same as BUNDLE_MFR
#define PLUG_MFR_ID ‘LUZE’
…
Before moving forward just check that this example builds. If you build the APP scheme it should launch a window that shows this plugin, which is a basic gain plugin with a bit of text and a knob on the GUI.
Now let’s have a quick look at the layout of this plugin. Look in DelayPlugin.h.
In the public section we’ve got a constructor and destructor as well as a few method declarations: Reset, OnParamChange and ProcessDoubleReplacing. Then in the private section the example has a gain parameter mGain. We’ll look at how this parameter is set up and use it as an example going forward. So leave it there for now.
Lets add some of the variables that we are going to use. Underneath mGain lets add mDelaySam (delay in samples), mFeedback and mWet. We’re prefixing these with m to clarify that they are the member variables of the class. This distinction will be useful because they will have counterparts in the GUI section.
…
class DelayPlugin : public IPlug
{
public:
DelayPlugin(IPlugInstanceInfo instanceInfo);
~DelayPlugin();
void Reset();
void OnParamChange(int paramIdx);
void ProcessDoubleReplacing(double** inputs, double** outputs, int nFrames);
private:
double mGain = 1.0;
double mDelaySam;
double mFeedback;
double mWet;
};
…
Ok great, lets jump over to the DelayPlugin.cpp file. Now, in your mind separate those member variables we just declared from the parameters we are about to add to the GUI. At the top of the file there is an enum called EParams. Here we’ll declare the parameters that will be controled in the UI. Lets add ones for delay in milliseconds (note: not samples), feedback percentage, and wet level percentage.The last one, KNumParams, isn’t a real parameter. It’s just there as a tool to return the number of parameters in the enum (which is zero indexed so the maths works out there)
…
enum EParams
{
kGain = 0,
kDelayMS,
kFeedbackPC,
kWetPC,
kNumParams
};
…
Now beneath that we’ll get these params into the plugin constructor, in just the same way that the Gain example already has. Don’t worry about the SetShape method call. That’s to do with the response mapping of the control. Let’s add our new params:
…
TRACE;
//arguments are: name, defaultVal, minVal, maxVal, step, label
GetParam(kGain)->InitDouble("Gain", 50., 0., 100.0, 0.01, "%");
GetParam(kGain)->SetShape(2.);
GetParam(kDelayMS)->InitDouble("Delay", 10., 0., 200., 0.01, "Milliseconds");
GetParam(kFeedbackPC)->InitDouble("Feedback", 50., 0., 100.0, 0.01, "%");
GetParam(kWetPC)->InitDouble("Wet/Dry", 50., 0., 100.0, 0.01, "%");
…
Beneath this you can see the GUI is initiated and a background colour is attached. Then the AttachControl method is called on pGraphics. This is to add a new knob on the interface (you can see the image file for it in the resources folder - it’s the default iPlug knob). Let’s use the same knob for our parameters. You’ll see that these use the ELayout enum above to specify x and y coordinates for the knobs. This is a nice, tidy practice that but for this example we’ll just throw in raw coordinates so we get the idea of what is going where. We can also chuck the IColor and Itext lines because we don’t need no text!
…
pGraphics->AttachPanelBackground(&COLOR_GRAY);
IBitmap* knob = pGraphics->LoadPointerToBitmap(KNOB_ID, KNOB_FN, kKnobFrames);
pGraphics->AttachControl(new IKnobMultiControl(this, kGainX, kGainY, kGain, knob));
pGraphics->AttachControl(new IKnobMultiControl(this, 20, 200, kDelayMS, knob));
pGraphics->AttachControl(new IKnobMultiControl(this, 80, 200, kFeedbackPC, knob));
pGraphics->AttachControl(new IKnobMultiControl(this, 140, 200, kWetPC, knob));
AttachGraphics(pGraphics);
//MakePreset("preset 1", ... );
MakeDefaultPreset((char *) "-", kNumPrograms);
}
…
Now just build that with the APP scheme. We should get a window with 4 knobs. Our new params are the ones in a row beneath the gain control. Lovely.
￼
…but useless at the moment. Lets make these controls do something.
let’s get these guys talking to our member variables that we set up at the beginning. Go to onParamChange and you can see a switch with the gain control set up to change the mGain variable. You can see it divides by 100 because the input is a percentage but mGain is used as a scaling coefficient (so it needs to be between 1 and 0).
This switch is a good idea because it means it’ll only update the parameter that has been changed. However, we only have a few params so we are going to disregard it. We’ll make a new member function of our class called cookVars() which will update all the variables. We’ll just call this in OnParamChange.
In the .h file add a new public method called cookVars().
…
public:
DelayPlugin(IPlugInstanceInfo instanceInfo);
~DelayPlugin();
void Reset();
void OnParamChange(int paramIdx);
void ProcessDoubleReplacing(double** inputs, double** outputs, int nFrames);
void cookVars();
…
Let’s implement this in the .cpp file. We’ll do it just above OnParamChange(). For the member variable mDelaySam we want to get the kDelayMS value and multiply that by (the sampling rate / 1000.0). The wet level and the feedback level are like the gain, we want to go from per cent to scaling factor. so just divide by 100.0. So our cooker is going to look like this:
…
void DelayPlugin::cookVars()
{
mDelaySam = GetParam(kDelayMS)->Value() * GetSampleRate() / 1000.0;
mFeedback = GetParam(kFeedbackPC)->Value() / 100.0;
mWet = GetParam(kWetPC)->Value() / 100.0;
}
…
now we want to call this in OnParamChange. You can chuck the switch but don’t get rid of the IMutexLock.
…
void DelayPlugin::OnParamChange(int paramIdx)
{
IMutexLock lock(this);
cookVars();
}
…
Also call it at the Reset method:
…
void DelayPlugin::Reset()
{
TRACE;
IMutexLock lock(this);
cookVars();
}
…
Ok now everything is talking to everything. Lets set up our delay line buffer. We need some new member variables. A pointer that points to our buffer of samples, a read and write index and a variable to hold the length of the buffer. Let’s make these in the .h file under the ones we’ve already added. we could initialise these in the constructor but here will do fine for this example. mpBuffer is pointing at NULL because we don’t have a buffer yet. Initialize the other vars as follows just for completeness sake.
…
private:
double mGain = 1.0;
double mDelaySam = 0.;
double mFeedback = 0.;
double mWet = 0.;
double* mpBuffer = NULL;
int mReadIndex = 0;
int mWriteIndex = 0;
int mBufferSize = 0;
…
The reason we haven’t declared a buffer yet is because it’s length depends on our sample rate which a) we don’t know yet and b) could change while the plugin is operating (conceivably). So we’ll make it in the Reset() function, which is automatically called after the constructor and also whenever the sample rate changes. Head over to Reset() and we’ll put it in before the call to cookVars() we made earlier. First we need to figure out the number of samples we want in out buffer. we’re going to go for 2 seconds of delay maximum. We’re gonna then check if there is a buffer already, if so it’ll get deleted. Then we’ll make a new one using “new” - so it’s in the heap. We’ll do this because it could be quite large for the stack. If this stack / heap business is new to you I’m impressed you’ve come this far, well done. Read up here:
…
void DelayPlugin::Reset()
{
TRACE;
IMutexLock lock(this);
mBufferSize = 2*GetSampleRate();
if(mpBuffer)
{
delete [] mpBuffer;
}
mpBuffer = new double[mBufferSize];
cookVars();
}
…
Since we’ve used “new” we have to use “delete”, so we’ll do this in the destructor, which is empty so far, but just under the constructor. Stick in a if statement and a delete:
…
DelayPlugin::~DelayPlugin()
{
if(mpBuffer)
{
delete [] mpBuffer;
}
}
…
Now whenever we want to reset this buffer we’ll want to fill it with “0” values. So that a) when it’s created new it isn’t full of garbage and b) so that on the first cycle through it will read out silence. We’ll do this at various points so let’s make a function for it. in the .h file add a new method called resetDelay().
…
class DelayPlugin : public IPlug
{
public:
DelayPlugin(IPlugInstanceInfo instanceInfo);
~DelayPlugin();
void Reset();
void OnParamChange(int paramIdx);
void ProcessDoubleReplacing(double** inputs, double** outputs, int nFrames);
void cookVars();
void resetDelay();
…
We’ll use “memset” to fill the buffer with 0s and then also we’ll set our read and write index to 0. Lets do the implementation in the .cpp file. Memset takes the buffer, the value to set all the memory to, and the number of bytes, which here is the length of our buffer multiplied by the size of a double (because our buffer is doubles). Let’s also set the read and write index to 0 here too:
…
void DelayPlugin::resetDelay()
{
if(mpBuffer)
{
memset(mpBuffer, 0, mBufferSize*sizeof(double));
}
mWriteIndex = 0;
mReadIndex = 0;
}
…
Have the Reset() method call our resetDelay() method so that the buffer is cleared whenever the plugin is reset. Make sure it’s before the variables are cooked!
…
void DelayPlugin::Reset()
{
TRACE;
IMutexLock lock(this);
mBufferSize = 2*GetSampleRate();
if(mpBuffer)
{
delete [] mpBuffer;
}
mpBuffer = new double[mBufferSize];
resetDelay();
cookVars();
}
…
Now we need make sure the read index is the right distance behind the write index in terms of samples. This difference is the length of our delay. If that doesn’t make sense to you then re-read the theory section of this article at the top of the page. We’ll increment the write index in the ProcessDoubleReplacing() method, the method that handles each frame of audio processing However, before that we need to make sure the read index stays in the right place relative to it.
The best place to set this is whenever we cook the variables (since this happens whenever a parameter is changed by the user). So go back to the cookVars() implementation and change it to take care of the read index. Since we are taking away from the write value, we need to insure that if the resulting subtraction is below 0 we have to wrap backwards to the far end of the buffer.
…
void DelayPlugin::cookVars()
{
mDelaySam = GetParam(kDelayMS)->Value() * GetSampleRate() / 1000.0;
mFeedback = GetParam(kFeedbackPC)->Value() / 100.0;
mWet = GetParam(kWetPC)->Value() / 100.0;
mReadIndex = mWriteIndex - (int)mDelaySam;
if(mReadIndex < 0)
{
mReadIndex += mBufferSize;
}
}
…
That’s all the fiddly stuff done! Now all we need to do is process the audio as it comes through. We’ll just do this in mono for now. So we’ll work with the left (mono) channel and then just copy it over to the right afterwards.
…
void DelayPlugin::ProcessDoubleReplacing(double** inputs, double** outputs, int nFrames)
{
// Mutex is already locked for us.
double* in1 = inputs[0];
double* in2 = inputs[1];
double* out1 = outputs[0];
double* out2 = outputs[1];
for (int s = 0; s < nFrames; ++s, ++in1, ++in2, ++out1, ++out2) // for loop to cycle through frame.
{
//first we read our delayed output
double yn = mpBuffer[mReadIndex];
//if the delay is 0 samples we just feed it the input
if (mDelaySam == 0)
{
yn = *in1;
}
//now write to our delay buffer
mpBuffer[mWriteIndex] = *in1 + mFeedback * yn;
//.. and then perform the calculation for the output. Notice how the *in is multiplied by 1 - mWet (which gives the dry level, since wet + dry = 1)
*out1 = ( mWet * yn + (1 - mWet) * *in1 );
//increment the write index, wrapping if it goes out of bounds.
++mWriteIndex;
if(mWriteIndex >= mBufferSize)
{
mWriteIndex = 0;
}
//same with the read index
++mReadIndex;
if(mReadIndex >= mBufferSize)
{
mReadIndex = 0;
}
//because we are working in mono we'll just copy the left output to the right output.
*out2 = *out1;
}
}
…
Thats it! Build that and you have got yourself a delay effect!
Note our gain knob is not doing anything now. So best go back through and take out all the bits for it (in the .h file, the constructor and the enums at the top of the .cpp)
Build it as a VST or AU and have a play in your favourite DAW. Surprisingly good considering how simple it is, right?
Thanks for following along with this. I hope you enjoyed, there is more to come! This tutorial took a lot of the key information and design patterns from Will Pirkle’s Effects book. It’s well worth a purchase. While the examples in his book ain’t for iPlug it’s really quite simple to translate the information.
The final project is here on GitHub if you need it.


Performs multilevel matches for data with cluster-level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2017+), forthcoming in the Annals of Applied Statistics.
| Version: | 1.1.7 |
| Depends: | R (≥ 3.2.3) |
| Imports: | rcbsubset (≥ 1.1.4), plyr, coin, weights, mvtnorm, MASS, Hmisc |
| Suggests: | optmatch, testthat, knitr |
| Published: | 2018-05-17 |
| Author: | Luke Keele, Sam Pimentel, and Paul Rosenbaum |
| Maintainer: | Sam Pimentel <spi at berkeley.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | matchMulti results |
| Reference manual: | matchMulti.pdf |
| Vignettes: |
multiMatch |
| Package source: | matchMulti_1.1.7.tar.gz |
| Windows binaries: | r-devel: matchMulti_1.1.7.zip, r-release: matchMulti_1.1.7.zip, r-oldrel: matchMulti_1.1.7.zip |
| OS X binaries: | r-release: matchMulti_1.1.7.tgz, r-oldrel: matchMulti_1.1.7.tgz |
| Old sources: | matchMulti archive |
Please use the canonical form https://CRAN.R-project.org/package=matchMulti to link to this page.


The amount in the local currency is "{{ amount | currency }}".
The amount in Euros (with the default currency symbol) is "{{ amount | currency:'EUR' }}".
The amount in Euros (with a label instead of a symbol) is "{{ amount | currency:'EUR':'Euros ' }}".


Harkilgamed:
Compared to the Kamael of that time, you are not weak.
But compared to other constructs of the Giants and servants of the gods, your race was childish.
You needed time to mature, to grow in strength. Two strains of Kamael were created. One was powerful beings, the Spiculan Kamael, who could be the spear aimed at the skies.
The other strain consisted of Kamael like you. These Metusela Kamael were created weak, but time was on your side...
Metusela Kamael were also created with the help of the wisest four of that time. Thanks to that, you have better adaptation skills than we do.
.........


Hi all,
There are some flaky bugs assigned to you. Test coverage may be lost until the bug resolved. Could you please investigate the bugs? Let us make our tests more stable!
If there is anything blocking you when you are investigating, please contact with us without any hesitate. We will support you as soon as possible.
| ID | Title | Assigned To | State | Created Date | Effort |
|---|---|---|---|---|---|
| {workItem.Id} | Assert.IsTrue failed. Cancel before completion does not block, render task Microsoft.Office.Server.Search.Internal.UI.PulseUT.QueryResultControlUT.ThreadingBlocks_CancelBeforeFlushing() in d:\dbs\el\spop\src\search\managed\unittests\lib\oss\Pages\User\ | {workItem.assignTo.DisplayName} | {workItem.State} | {workItem.createdDate.ToString("yyyy/MM/dd")} | 1 |
| {workItem.Id} | {workItem.title} | {workItem.assignTo.DisplayName} | {workItem.State} | {workItem.createdDate.ToString("yyyy/MM/dd")} | 1 |
| {workItem.Id} | {workItem.title} | {workItem.assignTo.DisplayName} | {workItem.State} | {workItem.createdDate.ToString("yyyy/MM/dd")} | 1 |


Deconvolving thermoluminescence glow curves according to the general-order empirical expression or the semi-analytical expression derived from the one trap- one recombination (OTOR) model using a modified Levenberg-Marquardt algorithm. It provides the possibility of setting constraints or fixing any of parameters. It offers an interactive way to initialize parameters by clicking with a mouse on a plot at positions where peak maxima should be located. The optimal estimate is obtained by "trial-and-error". It also provides routines for simulating first-order, second-order, and general-order glow peaks (curves).
| Version: | 2.0 |
| Depends: | R (≥ 3.0.1) |
| Imports: | graphics, stats, utils |
| Published: | 2016-09-06 |
| Author: | Jun Peng [aut, cre], Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Linda R. Petzold [ctb], Alan C. Hindmarsh [ctb], R. Woodrow Setzer [ctb], Andrew Horchler [ctb] |
| Maintainer: | Jun Peng <pengjun10 at mails.ucas.ac.cn> |
| License: | GPL-2 | GPL-3 |
| URL: | http://CRAN.R-project.org/package=tgcd |
| NeedsCompilation: | yes |
| Citation: | tgcd citation info |
| CRAN checks: | tgcd results |
| Reference manual: | tgcd.pdf |
| Package source: | tgcd_2.0.tar.gz |
| Windows binaries: | r-devel: tgcd_2.0.zip, r-release: tgcd_2.0.zip, r-oldrel: tgcd_2.0.zip |
| OS X binaries: | r-release: tgcd_2.0.tgz, r-oldrel: tgcd_2.0.tgz |
| Old sources: | tgcd archive |
Please use the canonical form https://CRAN.R-project.org/package=tgcd to link to this page.


@import model.KeyEventData @(id: String, keyEvents: Seq[KeyEventData], filterKeyEvents: Boolean) @keyEvents.map { keyEvent =>


Data Science Central does exactly what its name suggests and acts as an online resource hub for just about everything related to data science and big data....
Data Science Central does exactly what its name suggests and acts as an online resource hub for just about everything related to data science and big data....
The counseling specialty concerned with providing advice and assistance to students in the development of their educational plans, choice of appropriate courses, and choice of college or technical school. Also called educational guidance; student counseling. ...
Take your classes online in just 2 minutes. We help teachers to conduct online ...
We have been making slideshows and articles for most of our college/office presentations to look great and to help students to understand the subject.


Code comments included in this document will assist you in setting up the code. Please also refer to online documentation as needed.
Want mousedown instead of mouseover scrolling? That's easy! See code comments in the head of this document.
This example places the images in inline list items with white-space: nowrap
.
Back to index for more demo's and information.


| DOSE: T+ 0:00 |
30 g |
oral |
Nutmeg |
(ground / crushed) |
| T+ 10:00 |
30 g |
oral |
Nutmeg |
(ground / crushed) |
| T+ 10:00 |
1 cig. |
smoked |
Cannabis |
|
At 4:30 pm this afternoon I was in the same place, doing the same thing I am now -- wasting time fucking around on the internet. I stumbled across nutmeg and did some research. Even though the description said than most of the people that ate nutmeg didn't like it, I found the trip reports to be to the contrary. Having nothing better to do in these dog-days of summer, and recovering from the previous night's excessive consumption of whiskey, I raided the spice cabinet, and found a brand new, 60 gram bottle of ground nutmeg. I ate roughly half the bottle then and there, and hung out for a while.
It is now 2:30 am, I've been feeling the nutmeg for about 2 hours. I find the nutmeg high to be kind of giddy and euphoric, kind of like eating a gram or so of shrooms. I decided to finish off the bottle -- more on that in another 6 or 7 hours. Tomorrow should be interesting. I just found a fairly good-sized roach of some killer indica bud and smoked it all, which equated to about 7 hits, and now, I'm really blazed. There seems to be a nice synergistic effect between the weed and the nutmeg, sadly I don't have anymore but I might smoke some resin later.
So, Iíll tell you a little about myself.  Iíve tripped on everything but cactus and PCP.  The nutmeg is a unique experience, especially with being really blazed, but I have to complain of a slight headache.   At this point in the experience itís quite pleasant.
T+24 hours:
I woke up today at about 3:30 pm, since I didnít fall asleep until about 6 of 7 in the morning. All last night my mind was racing. I couldnít stop thinking, which really annoyed me, and my muscles seemed to twitch a lot. This was unpleasant. It is now 4:30pm the day after, and I feel pretty much back to normal, except for the sleep deprivation.
My final analysis is that nutmeg didn't do all that much by itself, the actual buzz was barely noticeable. Smoking some good weed while on nutmeg made it a little more fun.  In the end it reminds me a lot of Benadryl -- a cheap, dirty high that lasts too long and doesnít really do much good.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Frank Lampard says he would never manage Tottenham after hiring Mourinho
- Frank Lampard has explained that he would never manage Premier League side Tottenham
- He stated that Chelsea is very close to his heart and will not manage any London club
- Lampard replaced Maurizio Sarri at Chelsea and the Blues have been doing well this term
Current Chelsea manager Frank Lampard has made it clear that he would never manage Premier League side Tottenham after the club hired the Blues legend Jose Mourinho.
Lampard is thinking about the London rivalry built up over 13 years and stated that he would not consider managing Tottenham and Arsenal.
The former England international won the Premier League three times as a Chelsea player under Jose Mourinho.
PAY ATTENTION: Install Pitch Football App for FREE to get the latest football News & Scores
Asked if he could take charge of Spurs one day, Lampard smiled and replied: "I can firmly say no. And you can replay that it ten years, or whenever you want! No, it wouldn't happen.
Why I rejected ministerial appointments twice - Afe Babalola
''But I think things are different. Jose Mourinho has worked for a lot of football clubs and you have to respect his right to work.
''Chelsea is certainly very close to my heart. Hence why I'm so proud to manage this club.
"And hence why I wouldn't manage Tottenham, and that's no disrespect to Tottenham,'' Frank Lampard explained according to the report on UK Sun.
Lampard has been impressive so far this season for Chelsea and the Blues are occupying third position on the Premier League standings with 26 points.
Earlier, Legit.ng had reported how Olivier Giroud lauded Chelsea chiefs for the appointment of club legend Frank Lampard as the new coach of the club.
The 41-year-old succeeded former boss Maurizio Sarri after signing a three year deal with the Premier League club this summer.
Abu Azeez: Meet the only Nigerian rated among top 50 beach soccer players worldwide | Legit TV


years old French UX Designer, currently working at Ankama Games
Presentation & Career
Background
Over the years I tried to combine multiple interests such as graphic design, cinema and video games to work in a field that suits me. Thus, along the way I discovered the UX Design.
My first steps were in 2012, when I was in charge of my group project website. Since that time, I continued my ride with various projects such as a video game, websites about home services, city transport, but also communication agency, touristic guide. Moreover, I recently expanded my field of action with an email management app.
These projects allowed me to practice and extend my knowledges and responsabilities in the aim to increase my open-mindedness and efficiency.
Studies
I'm currently in my Master's degree in UI & UX (DIMI) final year at Créteil University’s Faculty of Communication in Paris.
This follows a Bachelor’s Degree of WebDesign in Belfort University, a Two-years University Degree in Technology, Web and Multimedia in Toulon and an High School Diploma in Science section Biology.
Stay in touch
Would you meet me?
I always enjoy to meet new and interesting people around a cup of coffee.
Where to find me:
6 Avenue de la République, Epinay-sur-Seine
You may also ring me up or email me.
I'll answer you as fast as possible!
06 59 05 43 69 - Skype - Email
I'm there too:


The WoodGrove Bank Expense Trends add-in demonstrates how you can use the new JavaScript API for Microsoft Excel 2016 to create a compelling Excel add-in. With Expense Trends, you can import expense transactions into the workbook, create dashboard and trackers, view and analyze trends, and track special transactions such as charitable donations and follow up items. The sample provides two experiences: one with task pane and another with add-in commands. The following figures show the main screens of this add-in.
You’ll need the following:
WoodGrove Expense Trends.sln
in Visual Studio.Copyright (c) 2016 Microsoft. All rights reserved.
This project has adopted the Microsoft Open Source Code of Conduct. For more information, see the Code of Conduct FAQ or contact<EMAIL_ADDRESS>with any additional questions or comments.


Alec Baldwin on being a father later in life: I wish I had more time
The Hollywood star said he has made his children a priority and that he was ‘hungry to be a father again’.
Alec Baldwin has said that he wishes he had more time in life, particularly regarding his young children.
The Hollywood star, 61, has four children between the ages of six and one with wife Hilaria, as well as 24-year-old daughter Ireland from his previous marriage to Kim Basinger.
Asked about becoming a father again later in life, Baldwin told the Observer Magazine: “It’s frustrating. I sit there, with some regularity, driving in a car, or whenever I have a moment to breathe.
 I wish I had more time.’
“There’s drawbacks to my kids, me being this age. But there are benefits, too.
“I’m there. I’ve made them a priority. It’s made me much more mindful: ‘How do I make the most of my time with them?’”
The film and TV star said he wishes he had “10 extra years”, adding: “I wish I was 50.
“But, y’know, life. There is no pause button. There is no reverse button.”
Baldwin – known for TV series 30 Rock, films including The Aviator and The Departed, and for his impersonations of Donald Trump on Saturday Night Live – said he was keen to have children again after meeting yoga teacher Hilaria, 35, in 2011.
He said he was “hungry to be a father again” and that this time he “wanted to know these people”.
Of his previously-strained relationship with his eldest daughter, Baldwin said: “If you did an analysis of the actual days I spent with Ireland (when she was growing up), you’d be appalled at how little it was.”
Baldwin and his wife were expecting their fifth child together until earlier this month, when Mrs Baldwin revealed she had suffered a miscarriage.
Baldwin next appears in the film Motherless Brooklyn, a neo-noir crime film directed by Edward Norton.


Comments
-
Greg Hurrell
Status changed:
- From: New
- To: Open
-
Greg Hurrell
Let's start with a self
CROSS JOIN
(produces exponential growth of records; ie. if there are 1,000 taggings you'll get 1,000,000 rows back):SELECT * FROM taggings AS t1 JOIN taggings AS t2;
Adding a
WHERE
clause to reduce the number of returned results:SELECT * FROM taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38;
To see the groupings a little more clearly:
SELECT * FROM taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 ORDER BY t1.id;
So just say there were 54 items with tag 38, you'd now get 54 x 1,000 rows in the result (54,000).
SELECT * FROM taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type;
This yields a big reduction in the returned result size.
SELECT * FROM taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type GROUP BY t2.tag_id;
And another reduction in result size.
Now let's just get the column we're interested in:
SELECT t2.tag_id FROM taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type GROUP BY t2.tag_id;
Now let's
JOIN
thetags
table at the same time so that we can get the tag names at the same time:SELECT t2.tag_id, tags.name FROM tags JOIN taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type AND tags.id = t2.tag_id GROUP BY t2.tag_id;
Not sure if this is right, but it produces the expected results on my small test case with only one tag. Will need to think about how this could be extending to handle multiple tags.
-
Greg Hurrell
"Drilling down" gets a bit ugly.
It's not enough to just do a
t1.tag_id = 38 OR t1.tag_id = 40
, nor at1.tag_id IN (38, 40)
because those won't actually narrow down the scope and the exact same results will be returned.Likewise
t1.tag_id = 38 AND t1.tag_id = 40
won't work for obvious reasons.Basically, we need to do one more self-
JOIN
for each level that we wish to drill down. Evidently it will make sense to impose a limit on the number of joins we'll do although in practical terms most items have only 1 or 2 tags on them and it's hard to imagine drilling down more than 5 levels (I think the most heavily tagged item I have right now probably only has 3 or 4 tags on it).Here's an example with one additional level of drilling:
SELECT t3.tag_id FROM taggings AS t1 JOIN taggings AS t2 JOIN taggings AS t3 WHERE t1.tag_id = 38 AND t2.tag_id = 40 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type AND t3.taggable_id = t1.taggable_id AND t3.taggable_type = t1.taggable_type GROUP BY t3.tag_id;
The same with the
tags
tabledJOIN
-ed in so as to fetch the tag name at the same time:SELECT t3.tag_id, tags.name FROM tags, taggings AS t1 JOIN taggings AS t2 JOIN taggings AS t3 WHERE t1.tag_id = 38 AND t2.tag_id = 40 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type AND t3.taggable_id = t1.taggable_id AND t3.taggable_type = t1.taggable_type AND tags.id = t3.tag_id GROUP BY t3.tag_id;
And while we're at it we should probably exclude the passed in tags from the results list:
SELECT t3.tag_id, tags.name FROM tags, taggings AS t1 JOIN taggings AS t2 JOIN taggings AS t3 WHERE t1.tag_id = 38 AND t2.tag_id = 40 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type AND t3.taggable_id = t1.taggable_id AND t3.taggable_type = t1.taggable_type AND tags.id = t3.tag_id AND t3.tag_id NOT IN (38, 40) GROUP BY t3.tag_id;
-
Greg Hurrell
For the purposes of illustration, here's the "first level" example again, this time with the passed-i tag excluded and including the "tagging count":
SELECT t2.tag_id, tags.name, tags.taggings_count FROM tags JOIN taggings AS t1 JOIN taggings AS t2 WHERE t1.tag_id = 38 AND t1.taggable_id = t2.taggable_id AND t1.taggable_type = t2.taggable_type AND tags.id = t2.tag_id AND t2.tag_id NOT IN (38) GROUP BY t2.tag_id;
-
Greg Hurrell
Ok, this is now implemented and I'm reasonably happy with the result. Will be included in the next deployment.
-
Greg Hurrell
Status changed:
- From: Open
- To: Closed
Add a comment
Comments are now closed for this issue.


WITNESS LIST Criminal Jurisprudence Committee August 23, 2002-10:00A Eight-liners For: Denson, Gary (Self) Deshazo, David (Self) Merritt, Rick (Self and Citizens for Fair Amusement) Warner, Michael (Texas Amusement Association) Against: Brumley, Scott (Potter County Attorney's Office) Letson, Sonya (Self and Potter County Attorney's Office) Ware, Weston (Texas Against Gambling and Texas Baptist Christian Life Commission) On: Fenoglio, Stephen (AMOT) Lewis, Bill (Office of the Attorney General) Registering, but not testifying: On: Doegey, Jay (Self and City of Arlington) McFadden, Steve (Self and Police Chief -Lewisville Police and City of Lewisville) Homeland Security On: Aziz, Sahar (ACLU of Texas, LULAC, Muslim Legal Fund of America) Harrell, Will (ACLU of Texas, LULAC, MLFA) Inman, USN (ret.), Admiral Bobby R. (Self) Leon, Carlos (El Paso Police Department) Mehta, Sonali (ACLU of Texas, LULAC, and MLFA) Identity Theft For: Brecher, Scott (ITRC) Lucas, Lyndel (Self and Identity Theft Resource Center) Wilson, Ronnie (Self and Identity Theft Resource Center) On: Ard, Aaron (Self and Texas Department of Public Safety) Chavez, Ester (Office of the Attorney General) De La Garza, John (Bank of America, Texas Bankers Association) James, Randall S. (Texas Department of Banking) Neeley, Karen (Independent Bankers Association of Texas) Pettijohn, Leslie L. (Consumer Credit Commissioner) Schneider, Rob (Consumers Union) Sullivan, Sandra (Frost National Bank) Swanson, Mary (Self) Registering, but not testifying: On: Adams, Gerald (Self) International Drug Trafficking On: Brubaker, James W. (Texas Department of Public Safety) Henson, Scott (ACLU and LULAC) Reporting of Sexual Assaults On: Busch, Ph.D., Noel Bridget (University of Texas at Austin and TAASA) Lippincott, Chris (Texas Association Against Sexual Assault) McGauley, Diane (Office of the Attorney General) Mitchum, Leona (Self) Sanchez, Ellen (SafePlace: Sexual Assault and Domestic Violence Survivor Center) Eight-liners On: Harrell, Will (ACLU of Texas, LULAC, MLFA)


Returns a NetClient object.
net = app.CreateNetClient(
type ) →
app object: NetClient
The following methods are available on the NetClient object:
string: “TCP” or “Raw”
string: url path
number: integer
unknown
receive data automatically
Close
Connect NetClient
Disconnect netClient
?
GetBroadcastAddress
Returns the control class name.
return whether netClient is connected
Returns whether the control is currently useable by the user.
string
string: comma “,” separated: “boolean”, “char”, “byte”, “short”, “int”, “long”, “float”, “double”
Allows access to other functions defined on the object in Java via reflection.
string: “Int” or “Hex” or “?”
receive data
string: “Int” or “Hex” or “?”
number
ReceiveDatagram
ReceiveDatagrams
ReceiveFile
string: “UTF-8” or “?”
ReceiveText
string: “Int” or “Hex” or “?”
SendBytes
string: “UTF-8” or “?”
SendText
function()
?
function()
called when receivend some data
number: seconds
set notification display. ticker display upon active, title on notification, sub text below title
WakeOnLan


Additional motivation for this project
While ideas such as the f-strings and especially the walrus operator were discussed on Python-ideas and similar places, many people were opposed to them being added to Python. This likely lead to the following explanation added in PEP 572:
The importance of real code
During the development of this PEP many people (supporters and critics both) have had a tendency to focus on toy examples on the one hand, and on overly complex examples on the other.
The danger of toy examples is twofold: they are often too abstract to make anyone go “ooh, that’s compelling”, and they are easily refuted with “I would never write it that way anyway”.
The danger of overly complex examples is that they provide a convenient strawman for critics of the proposal to shoot down (“that’s obfuscated”).
Yet there is some use for both extremely simple and extremely complex examples: they are helpful to clarify the intended semantics.
However, once it became possible for programmers to write their own code using either the f-strings or the walrus operator instead of just reading examples from PEP 572, it seems that everyone became enthusiastic about them.
If only it were possible to write short programs using currently invalid syntax to truly get a feel for it rather than just complaining based on reading a few examples. This is what ideas can help accomplish.
Tip
You can skip the rest of this section if you already know that you want to use an import hook and are not interested in the origin of this project, nor about its intended usage.
Original motivation
Programming in Python is my main hobby. As an amateur, I like to explore various ideas, learning along the way. As I found myself doing a lot of copy-paste-modify on the various import hooks experiments, including on some published projects such as AvantPy as well as various experiments I wrote about, I thought it would make sense to create a versatile projects which I could use as the basis of other projects. An obvious benefit is that I now need to fix bugs in a single project. Furthermore, if this project gets enough visibility, some programmers much more qualified than I am might take the time to make concrete suggestions as to how to improve it.
Additional motivation
Often, on Python-ideas, a suggestion is made to someone that proposes something new to try it by modifying Python using an import hook. For example:
You can pretty easily write an import hook to intercept module loading at the AST level and transform it however you want.
However, as Steve d’Aprano replied:
I think that the majority of Python programmers have no idea that you can even write an import hook at all, let alone how to do it.
I have yet to see a case of someone, other than perhaps some core developers, following up on suggestions to try writing an import hook to test a proposal on Python-ideas. I believe, like Steve d’Aprano wrote, that the main reason is that most people do not know how to do this.
So, by creating this project, I’m hoping that enough examples will be created that could be easily adapted for exploring proposals submitted to Python-ideas. If that is the case, I will likely benefit as well as advanced Python programmers might be interested enough to make suggestions as to how to improve this project.
About the name
For this project, I was thinking of using importhook
(singular) or
importhooks
(plural). However, there is already a package named
importhook
on Pypi and I thought that using the plural form would
likely be just too confusing.
I settled on ideas as I am guessing that the main application would be for people to try out suggestions from or for Python-ideas.
As I was looking at including other examples than the ones I mentioned previously, I came accross Andrew Barnert’s Stupid Python Ideas blog, which includes an older post about Hacking Python with import hooks.


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public static interface CodeConverter.ArrayAccessReplacementMethodNames
Interface containing the method names to be used as array access replacements.
| Method Summary | |
|---|---|
java.lang.String |
byteOrBooleanRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)B to replace reading from a byte[]. |
java.lang.String |
byteOrBooleanWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;IB)V to replace writing to a byte[]. |
java.lang.String |
charRead()
|
java.lang.String |
charWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;IC)V to replace writing to a byte[]. |
java.lang.String |
doubleRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)D to replace reading from a double[]. |
java.lang.String |
doubleWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;ID)V to replace writing to a double[]. |
java.lang.String |
floatRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)F to replace reading from a float[]. |
java.lang.String |
floatWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;IF)V to replace writing to a float[]. |
java.lang.String |
intRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)I to replace reading from a int[]. |
java.lang.String |
intWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;II)V to replace writing to a int[]. |
java.lang.String |
longRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)J to replace reading from a long[]. |
java.lang.String |
longWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;IJ)V to replace writing to a long[]. |
java.lang.String |
objectRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)Ljava/lang/Object;
to replace reading from a Object[] (or any subclass of object). |
java.lang.String |
objectWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;ILjava/lang/Object;)V
to replace writing to a Object[] (or any subclass of object). |
java.lang.String |
shortRead()
Returns the name of a static method with the signature (Ljava/lang/Object;I)S to replace reading from a short[]. |
java.lang.String |
shortWrite()
Returns the name of a static method with the signature (Ljava/lang/Object;IS)V to replace writing to a short[]. |
| Method Detail |
|---|
java.lang.String byteOrBooleanRead()
(Ljava/lang/Object;I)B
to replace reading from a byte[].
java.lang.String byteOrBooleanWrite()
(Ljava/lang/Object;IB)V
to replace writing to a byte[].
java.lang.String charRead()
(Ljava/lang/Object;I)C
to replace reading from a char[].java.lang.String charWrite()
(Ljava/lang/Object;IC)V
to replace writing to a byte[].
java.lang.String doubleRead()
(Ljava/lang/Object;I)D
to replace reading from a double[].
java.lang.String doubleWrite()
(Ljava/lang/Object;ID)V
to replace writing to a double[].
java.lang.String floatRead()
(Ljava/lang/Object;I)F
to replace reading from a float[].
java.lang.String floatWrite()
(Ljava/lang/Object;IF)V
to replace writing to a float[].
java.lang.String intRead()
(Ljava/lang/Object;I)I
to replace reading from a int[].
java.lang.String intWrite()
(Ljava/lang/Object;II)V
to replace writing to a int[].
java.lang.String longRead()
(Ljava/lang/Object;I)J
to replace reading from a long[].
java.lang.String longWrite()
(Ljava/lang/Object;IJ)V
to replace writing to a long[].
java.lang.String objectRead()
(Ljava/lang/Object;I)Ljava/lang/Object;
to replace reading from a Object[] (or any subclass of object).
java.lang.String objectWrite()
(Ljava/lang/Object;ILjava/lang/Object;)V
to replace writing to a Object[] (or any subclass of object).
java.lang.String shortRead()
(Ljava/lang/Object;I)S
to replace reading from a short[].
java.lang.String shortWrite()
(Ljava/lang/Object;IS)V
to replace writing to a short[].
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


About Project
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Client
KIRARA INSURANCE SERVICE CO.LTD
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