After you have generated truetype instructions to grid fit a glyph it might to useful to look at places where those instructions yield questionable results. In truetype a pixel is turned on if the center point of that pixel is within the curve. If the curve is extremely close to the center point then results are questionable
- You might want it on the other side
- Another rasterizer might round things differently and place the curve on the wrong side.
So it might be helpful to have a command which would search the glyph for places and pixelsizes where splines are close to the center points of pixels.
TrueType has an instruction called DELTA which allows you to move points only at certain pixelsizes.
The dialog opposite will check the glyph at pointsizes 7-40, 72, 80, ... where the screen resolution is 100 for places where a spline comes within .01 (in pixel units) of the center of a pixel.
The results will look like those at right. Clicking on an entry will toggle whether that entry is open (and its children visible) or not.
If you click on one of the bottom level entries then fontforge will open a glyph view on that glyph, rasterize it at the current pointsize and resolution, and indicate the offending pixel by drawing a red box around it. As you can see, the pixel center point lies almost exactly on the spline. The closest real point is the control point #8.
It is possible to reorder the list... depending on what is most important. At right data are organized by glyph, size and point. It might also be useful to see which points in a glyph are close to problems.


MUSIC UTILITIES
My music
Genres
Favorites
About
Explore
Find out the utilities of music
Some famous quotes on music


Responsive web design (RWD) is an approach to web design aimed at crafting sites to provide an optimal viewing and interaction experience—easy reading and navigation with a minimum of resizing, panning, and scrolling—across a wide range of devices (from desktop computer monitors to mobile phones).
A site designed with RWD adapts the layout to the viewing environment by using fluid, proportion-based grids, flexible images, and CSS3 media queries, an extension of the @media rule, in the following ways:
Responsive web design is becoming more important as the amount of mobile traffic now accounts for more than half of total internet traffic. This trend is so prevalent that Google has begun to boost the ratings of sites that are mobile friendly if the search was made from a mobile device. This has the net effect of penalizing sites that are not mobile friendly.


<EMAIL_ADDRESS>latest projects
Laravel, Node.JS, React.JS, MongoDB, MySQL
Medical services
Custard Cake
Tourism
Assault Rifles
Emotion monitoring website
Personal website
some basic info
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I'm Shahin Alam (Software Engineer)
I’m with broad technical skill-set, very strong attention to detail, and 3 years of experience in front-end web development. Able to multitask and juggle multiple pressing projects simultaneously. On top of the latest trends and technologies. Ability to improvise, troubleshoot, take ownership, and most importantly learn new skills on the job.
-
Birthday :
02 Februray 1995
-
Lives in :
Narayanganj, Bangladesh
-
Email :
<EMAIL_ADDRESS>-
Phone :
(+880) 1942-565009
-
Skype :
live:ahnabshahin
-
Linkedin :
/ahnab-shahin
500+
Git Push
3+
Satisfied Clients
6+
Project completed
82+
Contribution
Software & Tools
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html
css
javascript
python
c
java
wordpress
react js
github
vs code
Django
nodejs
git
bootstrap
education & qualities
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UNIVERSITY OF ASIA PACIFIC
BACHELORS OF COMPUTER SCIENCE & ENGINEERING
GOVERNMENT LABORATORY COLLEGE
SCIENCE
Tejgaon Government High School .
School
Coming Soon ...
any inquery of my
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-
email
-
<EMAIL_ADDRESS>-
phone
-
+8801942565009
-
address
-
Narayanganj, Bangladesh


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
WP-5005-2017 (SMT. RAMESH GUPTA Vs THE STATE OF MADHYA PRADESH) 22-08-2017 Shri M.P. Rajak, Advocate for the petitioner. Shri Sanjay Dwivedi, Dy. Advocate General for the respondent Nos.1, 2, 5 & 6.
Shri Ashish Shroti, Advocate for the respondent Nos.3 &
4. Shri Abhay Gupta, Advocate for the respondent No.7.
The challenge in the present petition is to an order passed by the Regional Officer (Pollution), M.P. Pollution Control Board, Satna on 16.03.2017. Such order is an appealable order under Section 31 of the Air (Prevention and Control of Pollution) Act, 1981.
In view of the said fact, the present petition is disposed of with liberty to the petitioner to avail the alternative remedy. The Appellate Authority shall entertain the appeal and decide on merits if the same is filed within fifteen days from today.
(HEMANT GUPTA) (VIJAY KUMAR SHUKLA) CHIEF JUSTICE JUDGE psm


Teaching Assistant
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, Champaign, ILAugust 2018 - Present | LAS First Year Experience
January 2018 - May 2018 | CS 102: Little Bits to Big Ideas
August 2018 - Present | LAS First Year Experience
January 2018 - May 2018 | CS 102: Little Bits to Big Ideas
Python (Numpy, Pandas, SciPy), SAS, R
SQL, Hive, PySpark, Google BigQuery
Python, Pig
Python (StatsModels, PyMC3, Sklearn, NLTK, PyTorch), R, SAS
Python (MatplotLib, Plotly, Seaborn), R (RShiny, Leaflet, ggplot)
MATLAB, Mathematica
Managed incoming and outgoing finances for the organization and coordinated with the Asha Central team to ensure efficient financial management of the chapter.
Organized large-scale (~2.5k attendees) fund-raising events for Asha for Education. Funds were used to finance educational projects for underprivileged students in India.
Supervised efforts of a team of 12 members.
Movies, Dancing, Cricket, Travelling, Cooking, Comics


| 8. On the above screen, you can choose "Add Family Member" to send a request to someone in your contacts list, or by email address. They will receive a notification on their devices asking for confirmation. You will get a notification when they accept, and they will show up in the above menu. Alternatively, if you want to add a child to your family who doesn't yet have their own Apple ID, tap "Create an Apple ID for a child" at the very bottom. You must be 13 years or older to have an Apple ID, but for younger children, you can tap that menu to create an Apple ID dedicated for Family Sharing. You must have a credit card on file (not debit card, gift card, or anything else) to share purchases in this case. |


WITNESS LIST Sex Offenders (Interim) Committee January 8, 1998-10:00A Civil Commitment & Fed. Compliance For: Schmidt, Gene (Save Our Stephanie), Overland Park Schmidt, Peggy (Save Our Stephanie), Overland Park On: Bradley, John (Williamson Co. D.A.), Georgetown Byers, Hazel (Self), Dallas Byers, Jerome Dr. (Self), Dallas Cain, Camille (Office of Gov. Bush), Austin Gay, Cliff (Self), Dallas Hoffman, Susan (Self), Garland Jordan, Paul (Tx Dept Public Safety), Austin Lee, Patrick (Self), The Colony Lovelace, Joe (TEXAMI), Dallas McDowell, Pat Judge (Self), Dallas McVey, Catherin (TDCJ), Hunstville Sappington, Sara (Assist AG Washington St), Seattle Scott, Marilyn (Self), Dallas Scott, Wayne (TDCJ), Huntsville Registering, but not testifying: On: Schafer, Carol (Collin Co. AMI), Plano


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Shared code and data
THE REGIONAL CLIMATE MODEL MAR
MAR code source is available at: www.mar.cnrs.fr.
Do not hesitate to ask for help by writing to me or by using the forum.
MAR ANTARCTICA SIMULATIONS
MAR Antarctica model outputs are freely available on the U. Liège climato ftp.
Please cite:
Agosta C., Amory C., Kittel C., Orsi A., Favier V., Gallée H., van den Broeke M.R., Lenaerts J.T., van Wessem J.M., & Fettweis X. (in review, 2018). Estimation of the Antarctic surface mass balance using MAR (1979-2015) and identification of dominant processes. The Cryosphere Discussions, 1–22, doi:10.5194/tc-2018-76.
And contact me if you need other outputs (e.g. variables/daily or hourly time steps)


Excerpt from The Emergent Self
Francisco Varela
I see the mind as an emergent property, and the very important and interesting consequence of this emergent property is our own sense of self. My sense of self exists because it gives me an interface with the world. I'm “me” for interactions, but my “I” doesn't substantially exist, in the sense that it can't be localized anywhere.
This view, of course, resonates with the notions of the other biological sense I mentioned, but there are subtle and important differences. An emergent property, which is produced by an underlying network, is a coherent condition that allows the system in which it exists to interface at that level — that is, with other selves of identities of the same kind.
“These ideas help us to come to a real appreciation of what it means to have an identity — to comprehend what we think of as our own mind.”
You can never say, “This property is here; it's in this component.” In the case of autopoiesis, you can't say that life — the condition of being self-produced — is in this molecule, or in the DNA, or in the cellular membrane, or in the protein. Life is in the configuration and in the dynamical pattern, which is what embodies it as an emergent property
I find it fascinating to apply this same line of analysis to my own mind, in the cognitive domain. My own sense of self, “me,” can be seen in the same light. I have to be relentless to hold on to my identity. These ideas help us to come to a real appreciation of what it means to have an identity — to comprehend what we think of as our own mind.
My mind has the quality of “being here” so I can relate to others. Foe example, I interact; but when I try to grasp it, it's nowhere — it's distributed in the underlying network.


This detached four bedroom detached home set in its own grounds in Thornton is up for sale for £350,000
This detached house, set in its own grounds with plenty of off-road parking and a garage, is in a great location and has massive potential.
by Colin Ainscough
Here we take a look around:


The Turf Tracker map application draws a map from data stored in Google Drive, Google Sheets, or both. The application authenticates users using the Google APIs Client Library for JavaScript. The Google user information is used only to authenticate with the Google Drive and/or Google Sheets APIs. The data used to draw the map is requested through Google APIs on each page load, and is never stored.
The Turf Tracker map application may use a third party analytics tool like Google Analytics to learn how you are using the map, and how we can improve that experience.
We may also aggregate user information and perform statistical analyses of the collective behavior of our visitors, to analyze how to improve our service. We may share this information with third parties (such as Google Analytics), but such aggregate information does not contain personal information other than IP addresses. In addition, we may compile and disclose aggregate information about our users for promotional or other purposes. For example, we might want to disclose that a certain percentage of our users are located within a particular geographic area or visit the site most frequently in the mornings.


Watcher of Antharas Theodric:
Without the
Clear Crystal
, you cannot contain Antharas's energy even after defeating it. So please take this Clear Crystal.


{% extends 'base.html' %} {% load get_eav_value %} {% load guardian_tags %} {% block team_content %}
{{ team.description }}
{{ team.name }} has {{ team.items.count }} Items across {{ team.categories.count }} Categories with a total of {{ team.reviews.count }} Reviews in {{ team.contexts.count }} Contexts. The {{ team.categories.count }} Categories has {{ team.facts.count }} Facts and {{ team.ratings.count }} Ratings with a total of {{ team.votes.count }} Votes.
{% if team.reviews.exists %} {% get_obj_perms request.user for team.reviews.latest as "review_perms" checker %} {% if 'view_review' in review_perms %}


To jump straight in, go to http://<IP_ADDRESS>:5601 and configure the index pattern. Example data, visualizations, and an example dashboard should already be set up for you.
For a bit of background, check out the presentation to get an idea of how to use this. As this is part of a spoken presentation, it may not be as useful without the speaker notes. Press "s" when you get to that page to bring them up, which may help explain some of the slides a bit better.
Finally, if you want to play around with it, simply run "vagrant ssh" to SSH into the box in question. Modify config files, mess with settings, do what you want. Run "sudo salt-call state.highstate" in the VM, or "vagrant provision" outside of it, to bring things back to the installation state.
The example data provided is only good up to the point that 'vagrant up' was run, so after a few days this VM should probably be destroyed ('vagrant destroy') and re-upped ('vagrant up').  Have fun!
- Spencer Julian


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calculateDownloadMappings(String, String, String, String)
- Method in class com.brightcove.commons.applications.
FTPDownloader
calculateUploadMappings(String, String, String, String)
- Method in class com.brightcove.commons.applications.
FTPUploader
com.brightcove.commons.applications
- package com.brightcove.commons.applications
D
doDownload()
- Method in class com.brightcove.commons.applications.
FTPDownloader
Performs the download.
doList()
- Method in class com.brightcove.commons.applications.
FTPManifest
Performs the list.
doUpload()
- Method in class com.brightcove.commons.applications.
FTPUploader
Performs the upload.
F
FTPDownloader
- Class in
com.brightcove.commons.applications
Utility class to download files from an FTP server.
FTPDownloader()
- Constructor for class com.brightcove.commons.applications.
FTPDownloader
Default constructor.
FTPDownloader(String, String, String, Boolean, Boolean, Boolean, Long, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPDownloader
Constructor specifying everything except server port (assumes port 21).
FTPDownloader(String, Integer, String, String, Boolean, Boolean, Boolean, Long, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPDownloader
Constructor specifying everything.
FTPDownloader(File)
- Constructor for class com.brightcove.commons.applications.
FTPDownloader
Constructor that pulls all of the configuration options from an XML config file
FTPManifest
- Class in
com.brightcove.commons.applications
Utility class to generate a manifest of all files on an FTP server.
FTPManifest()
- Constructor for class com.brightcove.commons.applications.
FTPManifest
Default constructor.
FTPManifest(String, String, String, Boolean, Long, String, Map<String, FTPManifestEntry>, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPManifest
Constructor specifying everything except server port (assumes port 21).
FTPManifest(String, Integer, String, String, Boolean, Long, String, Map<String, FTPManifestEntry>, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPManifest
Constructor specifying everything.
FTPManifest(File)
- Constructor for class com.brightcove.commons.applications.
FTPManifest
Constructor that pulls all of the configuration options from an XML config file
FTPUploader
- Class in
com.brightcove.commons.applications
Utility class to upload files to an FTP server.
FTPUploader()
- Constructor for class com.brightcove.commons.applications.
FTPUploader
Default constructor.
FTPUploader(String, String, String, Boolean, Boolean, Boolean, Long, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPUploader
Constructor specifying everything except server port (assumes port 21).
FTPUploader(String, Integer, String, String, Boolean, Boolean, Boolean, Long, Boolean)
- Constructor for class com.brightcove.commons.applications.
FTPUploader
Constructor specifying everything.
FTPUploader(File)
- Constructor for class com.brightcove.commons.applications.
FTPUploader
Constructor that pulls all of the configuration options from an XML config file
G
getBooleanSetting(Document, String)
- Method in class com.brightcove.commons.applications.
FTPUploader
getConfigFile()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getConfigFile()
- Method in class com.brightcove.commons.applications.
FTPUploader
getFtpDownloaderThread()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getFtpUploaderThread()
- Method in class com.brightcove.commons.applications.
FTPUploader
getIntegerSetting(Document, String)
- Method in class com.brightcove.commons.applications.
FTPUploader
getLocalDirectory()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getLocalDirectory()
- Method in class com.brightcove.commons.applications.
FTPUploader
getLocalFile()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getLocalFile()
- Method in class com.brightcove.commons.applications.
FTPUploader
getLocalRegex()
- Method in class com.brightcove.commons.applications.
FTPUploader
getLongSetting(Document, String)
- Method in class com.brightcove.commons.applications.
FTPUploader
getMaxRetries()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getMaxRetries()
- Method in class com.brightcove.commons.applications.
FTPUploader
getOutputFile()
- Method in class com.brightcove.commons.applications.
FTPManifest
getRemoteDirectory()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getRemoteDirectory()
- Method in class com.brightcove.commons.applications.
FTPUploader
getRemoteFile()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getStringSetting(Document, String)
- Method in class com.brightcove.commons.applications.
FTPUploader
getTimeoutMilliseconds()
- Method in class com.brightcove.commons.applications.
FTPDownloader
getTimeoutMilliseconds()
- Method in class com.brightcove.commons.applications.
FTPUploader
M
main(String[])
- Static method in class com.brightcove.commons.applications.
FTPDownloader
Main command line execution.
main(String[])
- Static method in class com.brightcove.commons.applications.
FTPManifest
Main command line execution.
main(String[])
- Static method in class com.brightcove.commons.applications.
FTPUploader
Main command line execution.
R
run(String[])
- Method in class com.brightcove.commons.applications.
FTPDownloader
run(String[])
- Method in class com.brightcove.commons.applications.
FTPManifest
run(String[])
- Method in class com.brightcove.commons.applications.
FTPUploader
S
setConfigFile(File)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setConfigFile(File)
- Method in class com.brightcove.commons.applications.
FTPUploader
setFtpDownloaderThread(FTPDownloaderThread)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setFtpUploaderThread(FTPUploaderThread)
- Method in class com.brightcove.commons.applications.
FTPUploader
setLocalDirectory(String)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setLocalDirectory(String)
- Method in class com.brightcove.commons.applications.
FTPUploader
setLocalFile(String)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setLocalFile(String)
- Method in class com.brightcove.commons.applications.
FTPUploader
setLocalRegex(String)
- Method in class com.brightcove.commons.applications.
FTPUploader
setMaxRetries(Integer)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setMaxRetries(Integer)
- Method in class com.brightcove.commons.applications.
FTPUploader
setOutputFile(String)
- Method in class com.brightcove.commons.applications.
FTPManifest
setRemoteDirectory(String)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setRemoteDirectory(String)
- Method in class com.brightcove.commons.applications.
FTPUploader
setRemoteFile(String)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setTimeoutMilliseconds(Long)
- Method in class com.brightcove.commons.applications.
FTPDownloader
setTimeoutMilliseconds(Long)
- Method in class com.brightcove.commons.applications.
FTPUploader
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http://opensource.brightcove.com/.


A basic building block in game development is a framework to move things around on the screen. The Juggler is a framework built right into StageXL and it provides animation capabilities and much more. If you are not familiar with the basics of the StageXL library, please read the Introducing StageXL article first.
Let's get started with a simple example. In the previous article you have learned about the Stage and the RenderLoop. The RenderLoop manages the continuous update of the screen and he also keeps track of the time that passes while the game is running. This time is important for the Juggler because all animations are functions over time. Therefore the RenderLoop also provides an instance of the Juggler.
var canvas = html.query('#stage');
var stage = new Stage('myStage', canvas);
var renderLoop = new RenderLoop();
var juggler = renderLoop.juggler;
Now that we have an instance of the Juggler we can start to animate things. The simplest animation is to move an object from its current position to another position. The current position is know, you only have to provide the time (duration) and the target position. This kind of animation is often referred as tweening.
tweening: Short for in-betweening, the process of generating intermediate frames between two states to give the appearance that the first state evolves smoothly into the second state. Tweening is a key process in all types of animation.
var spaceship = new Spaceship();
spaceship.x = 100;
spaceship.y = 100;
addChild(spaceShip);
var tween = new Tween(spaceship, 2.0, TransitionFunction.linear);
tween.animate.x.to(500);
tween.animate.y.to(500);
juggler.add(tween);
This example greates a spaceship and sets the current position. A Tween is created for the spaceship, the animation should last for 2.0 seconds and the transition should be linear over time. Most importantly the tween should animate the "x" and "y" properties of the spaceship to the desired values. Last but not least the tween if added to the juggler who will take care that the spaceship moves from its current position to the target position. When the tween is finished it is automatically removed from the juggler.
The Tween class does not only animate the position of display objects, it also animates all other properties like alpha, scale or rotation. To keep track of the progress of the animation you can set callbacks for start, update and complete. The delay property enables the deferred start of the animation.
var tween = new Tween(spaceship, 2.0, TransitionFunction.linear);
tween.animate.x.to(500);
tween.animate.y.to(500);
tween.onStart = () => print('tween start');
tween.onComplete = () => print('tween complete');
tween.delay = 1.0;
Of course you can create multiple tweens with different parameters for the same or different display objects at the same time. One tween could animate the position while another tween could animate the alpha property.
A transition function defines the progress of the animation over time. The simplest transition is linear, where the progress of the animation is linear in relationship to time. Often animations look more natural when the transition accelerates or decelerates. Those transition functions are often called easing functions.
The example for the Tween class already showed how to use a transition function. You can choose between many different functions which are provided by the StageXL library. There is an overview for all transition functions on the StageXL homepage, the image below just shows some of the common functions.
http://www.stagexl.org/docs/transitions.html
If none of the provided transition functions fulfills your needs you can simply build one of your own. The example below shows a custom transition function called "sawtooth".
// A transition function looks like this:
// num transition(num ratio)
// ratio is the relative time of the transition (between 0.0 and 1.0)
// returns the relative progress of the transition (between 0.0 and 1.0)
var sawtooth = (ratio) => (ratio * 4.0).remainder(1.0);
var tween = new Tween(spaceship, 2.0, sawtooth);
The example above showed how you add a Tween to the Juggler. In fact the Juggler not only takes Tween classes but all classes that implement the Animatable class. Therefore you can create your own classes and add it to the Juggler as long as it implements the Animatable class.
The Animatable class is very simple. It only has one method called 'advanceTime' which takes a time and returns a bool. This method is called by the Juggler on every frame for all Animatables added to the Juggler. The time parameter is the time that has passed since the last call. The boolean return value indicates if the Animatable is still active. If 'false' is returned, the Animatable will be automatically removed from the Juggler and therefore it will no longer be called.
abstract class Animatable {
bool advanceTime(num time);
}
A simple example is the performance demo on the StageXL homepage. Here we are using a class called FlyingFlag which extends the Bitmap class and implements the Animatable class. The Juggler manages the motion of all flags by calling the 'advanceTime' method of all FlyingFlags.
http://www.stagexl.org/demos/performance.html
class FlyingFlag extends Bitmap implements Animatable {
// velocity of the flag
num vx, vy;
FlyingFlag(BitmapData bitmapData, this.vx, this.vy):super(bitmapData) {
this.pivotX = bitmapData.width / 2;
this.pivotY = bitmapData.height / 2;
}
bool advanceTime(num time) {
var tx = x + vx * time;
var ty = y + vy * time;
if (tx > 910 || tx < 30) vx = -vx; else x = tx;
if (ty > 470 || ty < 30) vy = -vy; else y = ty;
return true;
}
}
One of the Animatables provided by the StageXL library out of the box besides the Tween class is the DelayedCall class. This class is not directly related to animations, but is very useful to control the flow of your game. The purpose of this class is obviously to delay the call to a function.
var action = () => print("Action!");
// Call action after 5.0 seconds
var delayedAction = new DelayedCall(action, 5.0);
juggler.add(delayedAction);
// Call action 10 times every 1.0 seconds.
var repeatAction = new DelayedCall(action, 1.0);
repeatAction.repeatCount = 10;
juggler.add(repeatAction);
Of course you can do similar things with the Timer class included in dart:async, but the advantage here is that the calls are synchronized with all the other animations and time related things happening in your game.
The Transition class also implements the Animatable class. This Animatable is closely related to the Transition Functions shown above and allows you to animate any arbitrary value. As example you could fade the volume of a sound or count up the score in your game.
// count from 1000 to 2000 within 5.0 seconds.
var transition = new Transition(1000, 2000, 5.0, TransitionFunction.linear);
transition.roundToInt = true;
transition.onUpdate = (num value) => print(value);
juggler.add(transition);
The Juggler class itself implements the Animatable class. This allows better control of the time in your game. As example you can add a button to pause the game, therefore you have to pause all animations and accordingly you have to pause the time. You can achieve this by creating your own juggler instance and add all animations to this juggler. Now you only have to add or remove this juggler to the juggler from the RenderLoop and you are done!
var juggler = new Juggler();
juggler.add(tween1);
juggler.add(tween2);
juggler.add(delayedCall);
...
_pauseGame() {
renderLoop.juggler.remove(juggler);
}
_continueGame() {
renderLoop.juggler.add(juggler);
}
Another possible usecase is a time lapse juggler. You can implement a TimeLapseJuggler by extending the Juggler class and by overriding the 'advanceTime' method like this:
class TimeLapseJuggler extends Juggler {
num speed = 0.5;
bool advanceTime(num time) {
super.advanceTime(time * speed);
}
}
For some of the simple use cases the Juggler class provides convenience methods.
// create a tween and animate the x and y property of the spaceship
juggler.tween(spaceship, 2.0, TransitionFunction.linear)
..animate.x.to(100)
..animate.y.to(200);
// create a transition for a value from 0.0 to 100.0 within 5.0 seconds.
juggler.transition(0.0, 100.0, 5.0, TransitionFunction.linear, (num value) => print(value));
// delay the call the 'action' by 5.0 seconds.
juggler.delayCall(action, 5.0);
// remove all tweens on the 'spaceship' display object.
juggler.removeTweens(spaceship);
The Juggler framework was originally developed by my friend Daniel Sperl for ActionScript 3. Daniel is also the creator of the famous Sparrow and Starling frameworks. If you are not familiar with these frameworks and you are interested in iOS or Stage3D game development you should definitely visit his homepage: www.gamua.com.


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About
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Sat 09 November 2019
Missing Bill Elements That Aren't Missing


{% archive_block all_articles date section.get_absolute_url %}
{% with 1 as no_image %}{% for topic in topics|slice:":3" %}{% include "articles/blocks/topic.html" %}{% endfor %}{% endwith %}
{% endblock %}
{% block section-column3 %}
{% with "Genres" as topic_name %}{% include "articles/blocks/topics.html" %}{% endwith %}
{% with 1 as no_image %}{% for topic in topics|slice:"3:6" %}{% include "articles/blocks/topic.html" %}{% endfor %}{% endwith %}


Version: 1.0.0
This collection of JavaScript modules have been written for use with
Dojo 1.1. They implement UI widgets and an API wrapper for the Web AIM API.
By using these modules, you can get a fully functioning AIM-based IM
client running in a web page. You can view and manage buddy lists and
send/receive IMs.
These modules were adapted from the modules used by AOL Webmail. The
modules are available under the BSD
open source license. The modules use SoundBridge.swf from the BSD-licensed Javascript Sound Kit, and the aim.date module includes some functions from the MIT-licensed Matt Kruse's Javascript Toolbox.
Getting the Code
You can use these modules directly from the AOL CDN, or you can download the source code
and integrate it locally with your own code.
To use from the AOL CDN, register the module path with Dojo. Examples:
Using djConfig:

Or, using dojo.registerModulePath():

Configuration
Once you are able to load the code, you need to do the following
configuration steps:
1. Get a key
The modules use the Web AIM API, and that API requires an API key. Go
the Manage
Keys page
to create a key for the API. You will need to log in using either an
AIM name or an OpenID from certain OpenID providers. Create a Web AIM
key.
When you create a key, you have the option to use Referrer checking. If you do opt for Referrer checking, use the
directory that will hold your HTML page (and the auth.html page
mentioned below). Be sure to end the URL value in a slash ( / ).
It is suggested you run the code from a web server and not from a local disk (file:// URL).
2. Copy auth.html to your server
In order for the user to sign in to AIM, a window needs to be opened to
the OpenAuth
authentication page (some browsers do not allow third party cookies in
an iframe window, and the OpenAuth server sets some cookies for
authentication). When that authentication is done, it
redirects back to this auth.html page on your domain. So, save the auth.html page and
place it in the same directory as the HTML page that will be using AIM
modules.
3. Copy SoundBridge.swf to your server
The modules can play
sounds for things like buddies signing
in/signing out, and as IMs are sent and received. However, in order for
sound to work, a Flash file (.swf file) must be loaded from the same
domain as your HTML page. Save SoundBridge.swf somewhere on the same
domain as the HTML pages using the AIM modules.
4. Configure AIM modules
You now need to tell the AIM modules your API key and the location of
auth.html and SoundBridge.swf. You can do that by setting properties on aim.wim in a
dojo.addOnLoad() callback:
dojo.addOnLoad(function(){
//Set up your key. See http://developer.aim.com/manageKeys.jsp to get a key
aim.wim.apiKey = "YOUR_KEY_GOES_HERE";
//Optionally set the locale to use with the Web AIM API. Defaults to en-us.
//Note that this locale setting is only for the Web AIM API and does not affect
//locale used by the UI widgets. Those widgets use dojo.locale.
aim.wim.locale = "en-us";
//Configure auth.html location
aim.wim.authPageUrl = "http://your.domain.com/path/to/auth.html";
//Configure SoundBridge.swf location. Set this value to null if you
//do not want to play sounds.
aim.sound.swf = "http://your.domain.com/path/to/SoundBridge.swf";
});
Styling
The styling of the UI widgets is accomplished via two CSS files:
- dijit.css:
the basic dijit CSS file used by all dojo dijit widgets.
- aimDefault.css:
The default UI style for the AIM widgets. You also need to set "aimDefault" as a
class on the HTML BODY tag.
As with normal Dijit widgets, you can change the styling by providing
an alternative to aimDefault.css, and placing the appropriate class
name on the body tag that matches the master class name you use in your
CSS file.
Internationalization (i18n)/Localization (l10n) Support
Right now, only the en-us locale bundle is supported. However, it
uses Dojo's i18n support, so if you want to translate the en-us bundle
to another language, it should plug in using the normal Dojo i18n
approach. You can place localizations in the nls directory. See Dojo's i18n support for more information.
Use the widgets
To create the set of AIM widgets that handle the buddy list and IMs, just dojo.require("aim.ImPanel"); and instantiate aim.ImPanel.
In HTML markup:

In JavaScript:
//containerNode is a reference to a DOM element that will contain the aim.ImPanel widget.
var myImPanel = new aim.ImPanel({}, containerNode);
Examples
There are two example pages (NOTE: you must modify these pages and add your WIM Key in order for them to work):
- Simple.html: Just shows the simplest usage of the modules,
using aim.ImPanel with the default options.
- ResizableFloatWithHoverCard.html: Shows how to use
aim.ImPanel inside other dijit widgets that allow the buddy list to be
dragged and resized. Also shows configuration options for the HoverCard
(the info card that shows up as you hover over buddy names).
Using the Web AIM API wrapper
If you just want to use the Web AIM API without using the UI widgets, look at the aim.wim
module. There are comments at the top of the file that describe its
usage. You can also look at the source code for the UI widgets to see
how they interact with the aim.wim module.
If you set djConfig.aimUseDebugListener
to true, then a debug listener is registered with aim.wim. It will
print console messages each time an aim.wim listener callback is called.
Notes
- The modules do not support multiple AIM names on the same
page. The aim.wim wrapper is only designed to handle the API calls for
one user at a time.
- aim.wim does not implement the complete Web AIM API. Most
notably, it does not implement data IMs at this time. It only focuses on the buddy list, IMs and presence events. See the complete API for more information.
- The modules were designed for the webmail use case (buddy
list on the right side, taking up the full length of the viewport, and
no page scrolling). You may run into issues using it in a
different scenario.
- The code should work for IE 6 and 7, Firefox 2 and 3, and Safari 3.
Getting Help
You can ask questions in the aimdojo Google Group.
AOL Open APIs
These modules use some open APIs from AOL:
- OpenAuth: The open authentication model for AIM screen
names. It also supports OpenIDs from certain OpenID providers and ICQ
logins. You can use this API to allow users to authenticate into your
site. By using the API you do not need to worry about handling
authentication and OpenID support.
- Web AIM API:
The API that allows you to get a user's buddy list and do IMs. There
are other things you can do, like get buddy feed information,
expressions and some location information.


6.S198 Data Review
Jenny Xue<EMAIL_ADDRESS>Binh Le<EMAIL_ADDRESS>WHAT OUR DATA LOOKS LIKE
-
In order to make predictions for the 2018 World Championships, we obtained professional match data from the 2016 season up to the 2018
summer split. After combining the csv files, our data has about 98,208 rows and 98 columns. Each game has 12 rows of data,
1 row for each role (top, jungle, mid, adc, support) on each of the 2 teams and 1 row for the cumulative statistics for each of
the 2 teams. That means there over 8,000 games in the dataset. The 98 columns of made up of individual and team statistics such as kills,
deaths, assists, creep score, baron kills, wards placed, gold differential at 15 minutes, damage to enemy champions, etc. The storage size of the
data is 63.46 MB.
The description of the columns is located here.
HOW WE OBTAINED THIS DATA
-
We obtained the match data csv files from Oracle’s Elixir.
Discounting the current 2018 World’s data, the 2016, 2017 match data and 2018 regular season data is stored in four separate csv files.
This is one of the few sources of professional match data available for public consumption. While there are websites that we can scrape data from 2013 - 2015 from,
we ultimately decided against it because of the drastic player differences, the formation and disbandment of many teams, the creation and rework of multiple champions,
and the extreme meta differences.
LICENSING
-
According to Oracle’s Elixir, “All data […] is provided free of charge, and is intended for use by analysts, commentators, and fans.”
WHY OUR DATA IS GOOD ENOUGH
-
Our plan is to characterize each team as a vector and within this vector we can also include vectors for each role and player. Therefore, we
can include detailed team and individual player statistics to feed into our deep neural network. Since our data has just under 100,000 rows and 100 columns,
there are almost 1 million data points that we can use to quantify team and individual player performance. This should be enough information to input into the deep
neural network in order to correlate certain metrics and team representations with win probabilities. We also have access to the in-progress 2018 World Championship data that we can
use for testing in order to analyze the outputs of our trained model.
PREPROCESSING
-
We downloaded the four xlsx files from the Oracle Elixir website then parsed them into csvs. The 2016 data was missing four columns: “csat10,” “csat15,” “csdat10,” and “csdat15,”
so we added these columns in with NaN for all values. After concatenating the four csv files into one dataframe, we then dropped unnecessary columns from the dataframe, such as “patchno,”
“gameid,” and “game”. Finally, we replaced the erroneous values such as “#DIV/0!” and “#VALUE!” with NaN and exported it back into a csv.
DATA STORAGE
-
After preprocessing the data, we uploaded it to Google Cloud Storage and created a SQL table with Google BigQuery. BigQuery is Google’s serverless and scalable data warehouse.
We can then directly query from Google BigQuery with Python.


Welcome to Mickey, the virtual mouse!
Mickey is an application, that emulates mouse input via a Linuxtrack software and on a dedicated hardware (SmartNav4) also clicking.
For more informations on the Linuxtrack project, see the project page linuxtrack.eu.


| xgb.train {xgboost} | R Documentation |
xgb.train
is an advanced interface for training an xgboost model.
The xgboost
function is a simpler wrapper for xgb.train
.
xgb.train(params = list(), data, nrounds, watchlist = list(), obj = NULL, feval = NULL, verbose = 1, print_every_n = 1L, early_stopping_rounds = NULL, maximize = NULL, save_period = NULL, save_name = "xgboost.model", xgb_model = NULL, callbacks = list(), ...) xgboost(data = NULL, label = NULL, missing = NA, weight = NULL, params = list(), nrounds, verbose = 1, print_every_n = 1L, early_stopping_rounds = NULL, maximize = NULL, save_period = NULL, save_name = "xgboost.model", xgb_model = NULL, callbacks = list(), ...)
params |
the list of parameters. The complete list of parameters is available at http://xgboost.readthedocs.io/en/latest/parameter.html. Below is a shorter summary: 1. General Parameters
2. Booster Parameters 2.1. Parameter for Tree Booster
2.2. Parameter for Linear Booster
3. Task Parameters
|
data |
training dataset. |
nrounds |
max number of boosting iterations. |
watchlist |
named list of xgb.DMatrix datasets to use for evaluating model performance.
Metrics specified in either |
obj |
customized objective function. Returns gradient and second order gradient with given prediction and dtrain. |
feval |
customized evaluation function. Returns
|
verbose |
If 0, xgboost will stay silent. If 1, it will print information about performance.
If 2, some additional information will be printed out.
Note that setting |
print_every_n |
Print each n-th iteration evaluation messages when |
early_stopping_rounds |
If |
maximize |
If |
save_period |
when it is non-NULL, model is saved to disk after every |
save_name |
the name or path for periodically saved model file. |
xgb_model |
a previously built model to continue the training from.
Could be either an object of class |
callbacks |
a list of callback functions to perform various task during boosting.
See |
... |
other parameters to pass to |
label |
vector of response values. Should not be provided when data is
a local data file name or an |
missing |
by default is set to NA, which means that NA values should be considered as 'missing' by the algorithm. Sometimes, 0 or other extreme value might be used to represent missing values. This parameter is only used when input is a dense matrix. |
weight |
a vector indicating the weight for each row of the input. |
These are the training functions for xgboost
.
The xgb.train
interface supports advanced features such as watchlist
,
customized objective and evaluation metric functions, therefore it is more flexible
than the xgboost
interface.
Parallelization is automatically enabled if OpenMP
is present.
Number of threads can also be manually specified via nthread
parameter.
The evaluation metric is chosen automatically by Xgboost (according to the objective)
when the eval_metric
parameter is not provided.
User may set one or several eval_metric
parameters.
Note that when using a customized metric, only this single metric can be used.
The following is the list of built-in metrics for which Xgboost provides optimized implementation:
rmse
root mean square error. http://en.wikipedia.org/wiki/Root_mean_square_error
logloss
negative log-likelihood. http://en.wikipedia.org/wiki/Log-likelihood
mlogloss
multiclass logloss. http://wiki.fast.ai/index.php/Log_Loss
error
Binary classification error rate. It is calculated as (# wrong cases) / (# all cases)
.
By default, it uses the 0.5 threshold for predicted values to define negative and positive instances.
Different threshold (e.g., 0.) could be specified as<EMAIL_ADDRESS>merror
Multiclass classification error rate. It is calculated as (# wrong cases) / (# all cases)
.
auc
Area under the curve. http://en.wikipedia.org/wiki/Receiver_operating_characteristic#'Area_under_curve for ranking evaluation.
aucpr
Area under the PR curve. https://en.wikipedia.org/wiki/Precision_and_recall for ranking evaluation.
ndcg
Normalized Discounted Cumulative Gain (for ranking task). http://en.wikipedia.org/wiki/NDCG
The following callbacks are automatically created when certain parameters are set:
cb.print.evaluation
is turned on when verbose > 0
;
and the print_every_n
parameter is passed to it.
cb.evaluation.log
is on when watchlist
is present.
cb.early.stop
: when early_stopping_rounds
is set.
cb.save.model
: when save_period > 0
is set.
An object of class xgb.Booster
with the following elements:
handle
a handle (pointer) to the xgboost model in memory.
raw
a cached memory dump of the xgboost model saved as R's raw
type.
niter
number of boosting iterations.
evaluation_log
evaluation history stored as a data.table
with the
first column corresponding to iteration number and the rest corresponding to evaluation
metrics' values. It is created by the cb.evaluation.log
callback.
call
a function call.
params
parameters that were passed to the xgboost library. Note that it does not
capture parameters changed by the cb.reset.parameters
callback.
callbacks
callback functions that were either automatically assigned or
explicitly passed.
best_iteration
iteration number with the best evaluation metric value
(only available with early stopping).
best_ntreelimit
the ntreelimit
value corresponding to the best iteration,
which could further be used in predict
method
(only available with early stopping).
best_score
the best evaluation metric value during early stopping.
(only available with early stopping).
feature_names
names of the training dataset features
(only when column names were defined in training data).
nfeatures
number of features in training data.
Tianqi Chen and Carlos Guestrin, "XGBoost: A Scalable Tree Boosting System", 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016, https://arxiv.org/abs/1603.02754
callbacks
,
predict.xgb.Booster
,
xgb.cv
data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') dtrain <- xgb.DMatrix(agaricus.train$data, label = agaricus.train$label) dtest <- xgb.DMatrix(agaricus.test$data, label = agaricus.test$label) watchlist <- list(train = dtrain, eval = dtest) ## A simple xgb.train example: param <- list(max_depth = 2, eta = 1, verbose = 0, nthread = 2, objective = "binary:logistic", eval_metric = "auc") bst <- xgb.train(param, dtrain, nrounds = 2, watchlist) ## An xgb.train example where custom objective and evaluation metric are used: logregobj <- function(preds, dtrain) { labels <- getinfo(dtrain, "label") preds <- 1/(1 + exp(-preds)) grad <- preds - labels hess <- preds * (1 - preds) return(list(grad = grad, hess = hess)) } evalerror <- function(preds, dtrain) { labels <- getinfo(dtrain, "label") err <- as.numeric(sum(labels != (preds > 0)))/length(labels) return(list(metric = "error", value = err)) } # These functions could be used by passing them either: # as 'objective' and 'eval_metric' parameters in the params list: param <- list(max_depth = 2, eta = 1, verbose = 0, nthread = 2, objective = logregobj, eval_metric = evalerror) bst <- xgb.train(param, dtrain, nrounds = 2, watchlist) # or through the ... arguments: param <- list(max_depth = 2, eta = 1, verbose = 0, nthread = 2) bst <- xgb.train(param, dtrain, nrounds = 2, watchlist, objective = logregobj, eval_metric = evalerror) # or as dedicated 'obj' and 'feval' parameters of xgb.train: bst <- xgb.train(param, dtrain, nrounds = 2, watchlist, obj = logregobj, feval = evalerror) ## An xgb.train example of using variable learning rates at each iteration: param <- list(max_depth = 2, eta = 1, verbose = 0, nthread = 2, objective = "binary:logistic", eval_metric = "auc") my_etas <- list(eta = c(0.5, 0.1)) bst <- xgb.train(param, dtrain, nrounds = 2, watchlist, callbacks = list(cb.reset.parameters(my_etas))) ## Early stopping: bst <- xgb.train(param, dtrain, nrounds = 25, watchlist, early_stopping_rounds = 3) ## An 'xgboost' interface example: bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max_depth = 2, eta = 1, nthread = 2, nrounds = 2, objective = "binary:logistic") pred <- predict(bst, agaricus.test$data)


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object --+ | streams.ReadStream --+ | object --+ | | | streams.WriteStream --+ | WebSocket
Encapsulates an HTML 5 Websocket.
Instances of this class are created by an HttpClient instance when a client succeeds in a websocket handshake with a server. Once an instance has been obtained it can be used to s or receive buffers of data from the connection, a bit like a TCP socket.
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When a WebSocket is created it automatically registers an event handler with the eventbus, the ID of that handler is returned. Given this ID, a different event loop can send a binary frame to that event handler using the event bus and that buffer will be received by this instance in its own event loop and written to the underlying connection. This allows you to write data to other websockets which are owned by different event loops.
|
When a WebSocket is created it automatically registers an event handler with the eventbus, the ID of that handler is returned. Given this ID, a different event loop can send a text frame to that event handler using the event bus and that buffer will be received by this instance in its own event loop and written to the underlying connection. This allows you to write data to other websockets which are owned by different event loops.
|
Write data to the websocket as a binary frame Keyword arguments:
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Write data to the websocket as a text frame Keyword arguments:
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Set a closed handler on the connection, the handler receives a no parameters. This can be used as a decorator. Keyword arguments: handler - The handler to be called when writing has been completed. It is wrapped in a CloseHandler. |
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| Generated by Epydoc 3.0.1 on Wed Jul 17 20:24:59 2013 | http://epydoc.sourceforge.net |


Today, machine learning plays a key role in many health-related realms, including the development of new medical procedures, the handling of patient data and records and the treatment of chronic diseases. Many experts said that machine learning has virtually endless applications in the healthcare industry. The healthcare industry has advanced dramatically, along with the emergence of machine learning. Then, How machine learning is leveraged in healthcare?
InnerEye is a research project that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional radiological images. Project InnerEye turns radiological images into measuring devices.
Microsoft's Project InnerEye employs machine learning to differentiate between tumors and healthy anatomy using 3D radiological images that assist medical experts in radiotherapy and surgical planning, among other things. InnerEye is used in the United Kingdom to produce 3D imaging that pinpoints the precise location of tumors and enables more accurately targeted radiotherapy. Project InnerEye develops machine learning techniques for the automatic delineation of tumors as well as healthy anatomy in 3D radiological images.
The InnerEye technology may enable:
Project InnerEye builds upon many years of research in computer vision and machine learning. It employs algorithms such as Deep Decision Forests (as used already in Kinect and Hololens) as well as Convolutional Neural Networks (as available in CNTK) for the automatic, voxel-wise segmentation of medical images. The technology is being designed with the guidance of expert medical practitioners. The results of our machine learning operations can be readily refined and adjusted by expert clinical researchers until they are completely satisfied with the results. They maintain full control of the results at all times.


Background
Color, Position, No Repeat, Image
Default
Top Left
S
Muted
Top Right
M
Primary
Bottom Left
L
Secondary
Bottom Right
XL
Cover
Fixed Height
Responsive Height


{% load static %} {% load i18n %} {% load account socialaccount %}
{% block block-header-comment %} {% endblock %}
#} {#{% blocktrans with site.name as site_name %}Please sign in with one of your existing third party accounts. Or, sign up for a {{ site_name }} account and sign in below:{% endblocktrans %}
{% include "socialaccount/snippets/login_extra.html" %} {% else %}{% blocktrans %}If you have not created an account yet, then please sign up first.{% endblocktrans %}
{% endif %}


Something completely new to me at DBC is pairing. While I have worked on teams, and in groups many times before, This is the first time that I have ever really felt anxiety from having to do so. I think this comes about from not really knowing my pair and what to expect. While I think pairing is great, and definitely an awesome part of DBC, I still get this anxiety nearly everytime before I pair.
A great part about pairing at DBC is that we recieve feedback fairly quickly after we pair. The big part about of this feedback is that it needs to be kind, actionable, and specific. Kind - because feedback that is not kind can end up leading to being counterproductive. Actionable - because feedback should include something that can be improved etc. Specific - because if the feedback is vague the one receiving the feedback might misunderstand or not know where to work on.
All of this creates a vulnerable situation for the students at DBC, we have to open ourselves up to criticism, and when reading the feedback given to us we must act on it, rather than feel put down by it. We must step out of our comfort zones to really make improvements and to grow as individuals, not just as developers.


| I l@ve RuBoard |
Modules are probably best understood as places to define names you want visible to the rest of a system. In Python-speak, modules are a namespace—a place where names are created. And names that live in a module are called its attributes. Technically, modules correspond to files, and Python creates a module object to contain all the names defined in the file; but in simple terms, modules are just namespaces.
So how do files become namespaces? Every name that is assigned a value at the top level of a module file (i.e., not in a function body) becomes an attribute of that module. For instance, given an assignment statement such as X=1 at the top level of a module file M.py, the name X becomes an attribute of M, which we can refer to from outside the module as M.X. The name X also becomes a global variable to other code inside M.py, but we need to explain the notion of module loading and scopes a bit more formally to understand why:
The first time a module is imported anywhere in a system, Python creates an empty module object and executes the statements in the module file one after another, from the top of the file to the bottom.
During an import, statements at the top-level of the file that assign names (e.g., =, def) create attributes of the module object; assigned names are stored in the module's namespace.
Module namespaces created by imports are dictionaries; they may be accessed through the built-in __ dict __ attribute associated with module objects and may be inspected with the dir function we met in Chapter 1.
As we saw in Chapter 4, names at the top level of a module follow the same reference/assignment rules as names in a function, but the local and global scopes are the same (or, if you prefer, the LGB rule, without the G). But in modules, the local scope becomes an attribute dictionary of a module object, after the module has been loaded. Unlike functions (where the local namespace exists only while the function runs), a module file's scope becomes a module object's attribute namespace and may be used after the import.
Let's look at an example of these ideas. Suppose we create the following module file with our favorite text editor and call it module2.py :
print 'starting to load...' import sys name = 42 def func(): pass class klass: pass print 'done loading.'
The first time this module is imported (or run as a program), Python executes its statements from top to bottom. Some statements create names in the module's namespace as a side effect, but others may do actual work while the import is going on. For instance, the two print statements in this file execute at import time:
>>> import module2 starting to load... done loading.
But once the module is loaded, its scope becomes an attribute namespace in the module object we get back from import; we access attributes in the namespace by qualifying them with the name of the enclosing module:
>>> module2.sys <module 'sys'> >>> module2.name 42 >>> module2.func, module2.klass (<function func at 765f20>, <class klass at 76df60>)
Here, sys, name, func, and klass were all assigned while the module's statements were being run, so they're attributes after the import. We'll talk about classes in Chapter 6, but notice the sys attribute; import statements really assign module objects to names (more on this later). Internally, module namespaces are stored as dictionary objects. In fact, we can access the namespace dictionary through the module's __dict__ attribute; it's just a normal dictionary object, with the usual methods:
>>> module2.__dict__.keys() ['__file__', 'name', '__name__', 'sys', '__doc__', '__builtins__', 'klass', 'func']
The names we assigned in the module file become dictionary keys internally. As you can see, some of the names in the module's namespace are things Python adds for us; for instance, _ _file__ gives the name of the file the module was loaded from, and __name__ gives its name as known to importers (without the .py extension and directory path).
Now that you're becoming familiar with modules, we should clarify the notion of name qualification. In Python, you can access attributes in any object that has attributes, using the qualification syntax object.attribute. Qualification is really an expression that returns the value assigned to an attribute name associated with an object. For example, the expression module2.sys in the next-to-last example fetches the value assigned to sys in module2. Similarly, if we have a built-in list object L, L.append returns the method associated with the list.
So what does qualification do to the scope rules we saw in Chapter 4? Nothing, really: it's an independent concept. When you use qualification to access names, you give Python an explicit object to fetch from. The LGB rule applies only to bare, unqualified names. Here are the rules:
"X" means search for name X in the current scopes (LGB rule)
"X.Y" means search for attribute Y in the object X (not in scopes)
"X.Y.Z" means look up name Y in object X, then look up Z in object X.Y
Qualification works on all objects with attributes: modules, classes, C types, etc.
In Chapter 6, we'll see that qualification means a bit more for classes (it's also the place where inheritance happens), but in general, the rules here apply to all names in Python.
| I l@ve RuBoard |


|
|
Run as a service
|
After installing module ZeroXIII_uniservice_2_2_0 folder UniServerZ contains a file UniService.exe running this file opens the Uniform Server Service application. This application allows you to install and run The Uniform Server as a service.
NOTE: For Win7 and Win8, admin privileges are required. When prompted click yes allow changes to this computer.
Install module (plugin)
Install The Uniform Server service plugin as follows:
- Download ZeroXIII_uniservice_2_2_0.exe module (plugin)
- Copy ZeroXIII_uniservice_2_2_0.exe module (plugin) to folder UniServerZ
- Double click on the downloaded module
- This starts the extraction process
- If requested allow overwriting of existing files.
- If you wish to save space delete file ZeroXIII_uniservice_2_2_0.exe
- Folder UniServerZ now contains two new files:
- UniService.exe - Service Application
- ZeroXIII_unservice_read_me.txt - Contains additional informs
Warning
The Uniform Server Service application and UniController are independent applications this means there is no interaction between the two. Use only one or other to control the servers as follows:
- Very important.
- Ensure servers have been configured correctly and correct operation has been confirmed by running as a standard application using Unicontroller.
- Before installing and running servers as a service.
- Ensure servers are stopped and UniController is closed.
- After installing and running servers as a service do not use UniController to control servers.
- Before using UniController stop and uninstall services.
Uniform Server Service application
When using this application, you install the servers as services; it adds data to your operating system’s registry. The advantages of running as a service, when you restart your PC, servers’ will automatically re-start. You can install and run services from a USB memory stick however, you must remember to stop and uninstall services before removing your USB stick.
Buttons (A,B) and (C,D) provide independent control of Apache and MySQL servers respectively.
- Install and Run services
- To install Apache service click button A). Run service by clicking button B).
- To install MySQL service click button C). Run service by clicking button C).
Buttons A and C toggle to display uninstall. Indicators change from red to green when services have been installed and are running.
Note: Servers now use absolute paths and are no longer portable.
- Stop and Uninstall services
- To stop Apache service click button B). Uninstall service click button A).
- To stop MySQL service click button D). Uninstall service click button C).
This stops and uninstalls both servers. Service application returns to initial state as shown at right.
Note: Servers are now portable and can be moved.
|
|
Apache service test
Errors in Apache configuration files will prevent Apache running as a service.
After making changes to configuration files ensure the servers function
correctly when run as a standard program. After testing stop servers, close
UniController and start UniService. Click Apache service test button E).
Apache service test performs the following:
- 1) Open a command window
- 2) Check configuration files exist
- 3) Create back-up folder and copy files
- 4) Check all back-up files exist
- 5) Replace variables with absolute paths.
- 6) Install Apache service
- 7) Performs Apache configuration test
- 8) Uninstall Apache service.
- 9) Restore original files from back-up.
- 10) Delete back-up files and folder.
Closing above command window returns to the Service Utility UniService.
Errors reported must be corrected before the service can be installed and
started from the UniServer Service Utility.
Operation overview
The following provides an operation overview of the service application:
Install service
Apache
- Clicking button A initiates a backup of the following configuration files:
- httpd.conf
- httpd-autoindex.conf
- httpd-dav.conf
- httpd-default.conf
- httpd-deflate.conf
- httpd-info.conf
- httpd-languages.conf
- httpd-manual.conf
- httpd-mpm.conf
- httpd-multilang-errordoc.conf
- httpd-proxy-html.conf
- httpd-sni.conf
- httpd-ssl.conf
- httpd-userdir.conf
- httpd-vhosts.conf
- php_production.ini - Selected configuration file
- php-cli.ini
- proxy-html.conf
- A backup folder C:\UniServerZ\core\service_back_ap is created if it does not exist and the above configuration files copied to it.
- Relative paths within original configuration files are converted to absolute paths.
- Note: Because servers now use absolute paths they are no longer portable.
- Following command line is executed installing the Apache service:
- Button A: C:\UniServerZ\core\apache2\bin\httpd_z.exe -k install -n "us_apache_1"
- Button text toggle state:
- Button A: Text Install service changes to UnInstall service.
- Indicator toggles state:
- Changes from red (not installed as service) to green (installed as service).
- Button B Run service is enabled.
MySQL
- Clicking button C initiates a backup of the following configuration file:
- A backup folder C:\UniServerZ\core\service_back_my is created if it does not exist and the above configuration file copied to it.
- Relative paths within original configuration file are converted to absolute paths.
- Note: Because servers now use absolute paths they are no longer portable.
- Following command line is executed installing the MySQL service:
- Button C: C:\UniServerZ\core\mysql\bin\bin\mysqld_z.exe --install "us_mysql_1" --defaults-file=C:/UniServerZ/core/mysql/my.ini
- Button text toggle state:
- Button C: Text Install service changes to UnInstall service.
- Indicator toggles state:
- Changes from red (not installed as service) to green (installed as service).
- Button D Run service is enabled.
Run service
Apache
- Clicking enabled button B runs the service by executing the following command line:
- Button B: C:\UniServerZ\core\apache2\bin\httpd_z.exe -k start -n "us_apache_1"
- Button text toggle state:
- Button B: Text Run service changes to Stop service.
- Indicator toggles state:
- Changes from red (service not running) to green (service running).
- Buttons A UnInstall service is disabled.
MySQL
- Clicking enabled button D runs the service by executing the following command line:
- Button D: sc.exe start "us_mysql_1"
- Button text toggles state:
- Button D: Text Run service changes to Stop service.
- Indicator toggle state:
- Changes from red (service not running) to green (service running).
- Buttons C UnInstall service is disabled.
Stop service
Apache
- Clicking enabled button B stops the service by executing the following command line:
- Button B: C:\UniServerZ\core\apache2\bin\httpd_z.exe -k stop -n "us_apache_1"
- Button text toggles state:
- Button B: Text Stop service changes to Run service.
- Indicator toggles state:
- Changes from green (service running) to red (service not running).
- Buttons A UnInstall service is enabled.
MySQL
- Clicking enabled buttons D stops the service by executing the following command line:
- Button D: sc.exe stop "us_mysql_1"
- Button text toggles state:
- Button D: Text Stop service changes to Run service.
- Indicator toggles state:
- Changes from green (service running) to red (service not running).
- Buttons C UnInstall service is enabled.
Uninstall service
Apache
- Clicking button A the following command line is executed uninstalling the service:
- Button A: C:\UniServerZ\core\apache2\bin\httpd_z.exe -k uninstall -n "us_apache_1"
- Button text toggles state:
- Button A: Text UnInstall service changes to Install service.
- Indicators toggle state:
- Changes from green (installed as service) to red (not installed as service).
- Buttons B Run service is disabled.
- Following configuration files are restored to their original location:
- httpd.conf
- httpd-autoindex.conf
- httpd-dav.conf
- httpd-default.conf
- httpd-deflate.conf
- httpd-info.conf
- httpd-languages.conf
- httpd-manual.conf
- httpd-mpm.conf
- httpd-multilang-errordoc.conf
- httpd-proxy-html.conf
- httpd-sni.conf
- httpd-ssl.conf
- httpd-userdir.conf
- httpd-vhosts.conf
- php_production.ini - Selected configuration file
- php-cli.ini
- proxy-html.conf
- Backup folder C:\UniServerZ\core\service_back_ap is deleted.
- Note: Original configuration files use relative paths. Servers are now portable and can be moved.
MySQL
- Clicking buttons C following command line is executed uninstalling the MySQL service:
- Button C: C:\UniServerZ\core\mysql\bin\bin\mysqld_z.exe --remove "us_mysql_1"
- Button text toggles state:
- Button C: Text UnInstall service changes to Install service.
- Indicator toggles state:
- Changes from green (installed as service) to red (not installed as service).
- Button D Run service is disabled.
- Following configuration file is restored to its original location:
- Backup folder C:\UniServerZ\core\service_back_my is deleted.
- Note: Original configuration files use relative paths. Servers are now portable and can be moved.
Change service names
Service names are changeable by editing file C:\UniServerZ\home\us_config\us_config.ini
- Locate section [SERVICE]
- Change the following lines as appropriate:
- MySQLServiceName=us_mysql
- ApacheServiceName=us_apache
Note: The AppNumber is appended to the service name to give its full name for example us_mysql_1
--oOo--
|


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There are two main sections to the interface of a bitfield_tuple
.
The first part of a bitfield_tuple
's
interface is how its specified and how those specifications effect its
behavior and composition. The second part of the interface is the runtime
portion of the interface.
For all but one of the types used to specify a bitfield_tuple
's
template parameters, order does matter, the one type which is not part
of the implicit ordering of a bitfield_tuples
composition is the storage<>
type. For more information on
the storage type as it relates to ordering please see documentation relating
to the storage
template.
Basically the template parameters which are of type flag
and member
increment
the get
function accessor's
index by 1. (meaning that if one was to construct a bitfield tuple using
a flag followed by a filler
,
followed by a member
,
than the index for the flag
would be 0 and the index for the member
would be 1 because filler
doesn't have a value associated with it).
The runtime interface of a bitfield_tuple
is composed of the basic tuple interface, that being it is default and
copy constructible, and provids the regular get
funtions which a tuple does. The two main difference between the boost.tuple
and the bitfield_tuple
are as follows: First, the bitfield_tuple
doesn't return references to its data members it has to return a proxy
to them. Second, the bitfield_tuple provides an additional get
function which uses a name or empty
struct to access internal data elements (the bitfield_tuple
still provides the regular get<Index>()
by index function as boost.tuple).
Header file:
#include <boost/bitfield_tuple.hpp>
Forward declaration file:
#include <boost/bitfield_tuple_fwd.hpp>
namespace boost { namespace bitfields { template <typename... Args> struct bitfield_tuple; }}
For additional information on creating specilizations over the bitfield_tuple
's implementation documentation
reguarding macros.
N
is used to represent
a bitfield_tuple
.
|
Type |
Description |
|---|---|
|
|
This is an boost.mpl sequence, specifically |
|
|
The integral type being used to store bitfields within the
|
|
|
The number of bits offset by the fields supplied by the user.
Bits used is of type |
The bitfield_reference
type is responsible for acting as the proxy reference type into the storage
of a bitfield_tuple
.
This works similar to the proxy reference type supplied by std::vector<bool>
specilization.
| Note | |
|---|---|
If one wishes to work with the reference direcrly please not that the
|
| Note | |
|---|---|
The |
|
Name |
Signature |
Description |
|---|---|---|
|
|
|
This is the proxy reference type use to create a fake reference to a bitfield within the bitfield_tuple. |
ref
refers to a bitfield_reference
type
|
Type |
Description |
|---|---|
|
|
The return type specified by the user, via either a member or flag parameter. |
|
|
The storage type with the same |
|
|
The |
|
Name |
Constructor Signature |
Exception Safty |
Description |
|---|---|---|---|
|
Reference Constructor |
|
TBD |
Just like a reference the bitfield_reference is constrctible over the type it references. |
|
Copy Constructor |
|
TBD |
Copy makes a copy of the reference inside of |
|
Name |
Signature |
Exception Safty |
Description |
|---|---|---|---|
|
Implicit Conversion Operator |
|
TBD |
Allows the |
|
Assignment Operator |
|
TBD |
takes the value |
|
Name |
Constructor Signature |
Exception Safty |
Description |
|---|---|---|---|
|
Value Constructor |
|
No Throw |
This constructor acts as both a default constructor and allows
for construction over the storage type. This constructor is
one way of giving a |
|
Copy Constructor |
|
No Throw |
Copies the value from |
|
Name |
Signature |
Exception Safty |
Description |
|---|---|---|---|
|
Value Assignment Operator |
|
No Throw |
Assigns a new value to the internal storage of the |
|
Copy Assignment Operator |
|
No Throw |
Assigns a new value to the internal storage of the |
| Note | |
|---|---|
All of the |
|
Signature |
Description |
|---|---|
|
|
This returns a copy of the internal storage from within a bitfield tuple. |
|
|
Returns a reference type corrisponding to the field stored
with |
|
|
Const version of the above function. |
|
|
This is the same as the boost.tuple get function. The only difference is that it returns a proxy reference type. |
|
|
Const version of the above function. |
The following is a list of documented and/or enforeced preconditions
for constructing a bitfield_tuple
.
All of the preconditions will be noted as either being documentation
only or enfocred. For documentation only preconditions please treat them
as recomended usage of a bitfield_tuple
,
if you do not follow the documentation only preconditions the bitfield_tuple
may not behave as you
intend. All enforced preconditions if violated will result in compilation
failure normally resulting from a static assertion, look up failure or
an error message generated by #error
.
|
Precondition |
Description |
Enfocement |
|---|---|---|
|
The storage policy must not be specified more then once within the template parameters of bitfield_tuple template. |
Don't supply multiple |
Enforced by static assert |
|
A member or flag can not have the same name type as another member or flag |
Don't supply |
Enforced by static assert |
|
A |
|
Enforced by static assert |
|
The width of a member can not exceed the width, in bits, of its return type. |
|
Enforced by static assert |
|
The total width of the sum of all bit fields must not exceed the bit width of the storage type. |
|
Enforced by Static Assert |
|
|
Don't set the |
Enforced by macro error message. |
|
Don't set |
If |
Enforced by macro error message. |


Gen3 Workspace Storage¶
- class gen3.wss.Gen3WsStorage(auth_provider=None)[source]¶
Bases:
object
A class for interacting with the Gen3 workspace storage service.
Examples
This generates the Gen3WsStorage class pointed at the sandbox commons while using the credentials.json downloaded from the commons profile page.
>>> auth = Gen3Auth(endpoint, refresh_file="credentials.json") ... wss = Gen3WsStorage(auth)
- copy(src_urlstr, dest_urlstr)[source]¶
Parse src_urlstr and dest_urlstr, and call upload or download as appropriate
- download(src_ws, src_wskey, dest_path)[source]¶
Download a file from the workspace to local disk
- Parameters:
src_ws (string) – name of the workspace
src_wskey (string) – key of the object in the workspace
dest_path (string) – to download the file to
- download_url(ws, wskey)[source]¶
Get a download url for the given workspace key
- Parameters:
ws (string) – name of the workspace
wskey (string) – key of the object in the workspace
- ls(ws, wskey)[source]¶
List the contents under the given workspace path
- Parameters:
ws (string) – name of the workspace
wskey (string) – key of the object in the workspace
- ls_path(ws_urlstr)[source]¶
- Same as ls - but parses ws_urlstr argument of form:
ws:///workspace/key
- Parameters:
ws (string) – name of the workspace
wskey (string) – key of the object in the workspace


A super unique ID system that generates super unique, long IDs - generation may take a while.
Generates a new PK ID and adds it to the database.
Deletes a PK ID from the database.
Use Postman to quickly generate and delete PK IDs manually


- Welcome to the Story Board.
- The story graph you create will be saved to the cloud.
- Ctrl+click to add new nodes.
- Click on a node to select it. (New nodes are automatically selected.)
- Edit the name and contents of the selected node in the editor.
- Press submit when finished.
- Shift+click to link the selected node to another node.
- Click and drag a node to move it.
- Click "save" to checkpoint progress ot the cloud.
- Click "instructions" above to hide the instructions.


sql2csv
sql2csv OPTIONS SQL_STATEMENT
sql2csv OPTIONS CONFIG_FILE SQL_STATEMENT
sql2csv takes a config file describing a SQL database connection and output options needed and a SQL statement as the final parameter. The output of the SQL query is rendered in CSV format to standard out. sql2csv supports querying MySQL 8, Postgres and SQLite3 databases.
The configuration file is a JSON document with the following key value pairs.
To connect with a database sql2csv relies on a data source name (DSN) in URL format. In the URL form the URL’s scheme indicates the type of database you are connecting to (e.g. sqlite, mysql, postgres). The rest of the DNS has the following form
[username[:password]@][protocol[(address)]]/dbname[?param1=value1&...¶mN=valueN]
For a simple database like SQLite3 a minimal DSN in url form for a database file “my_database.sqlite3” would look like
sqlite://file:my_database.sqlite3
For MySQL you need to provide more information to connect (e.g. username, password). In this example the username is “jane.doe”, password is “something_secret” the database is “my_database”. (this example assumes that MySQL 8 is running on localhost at the usual port).
mysql://jane.doe:something_secret@/my_database
Postgres is similar to the MySQL connection string except the “scheme” is “postgres” instead of “mysql”.
A the following options will override a configuration.
Using the “dbcfg.json” configuration file, display ten rows from table “mytable” in database indicated in “dbcfg.json”.
sql2csv dbcfg.json ‘SELECT * FROM mytable LIMIT 10’
The CSV output is written standard out and can be redirected into a file if desired.
sql2csv dbcfg.json ‘SELECT * FROM mytable LIMIT 10’
>ten-rows.csv
sql2csv 1.2.2


These options should be set with set setChartEvent method
Parameters:API Tags:
Return: instance
Access: public
Example. Alert coordinates onclick
$chart = new jqChart(); $onclick = "function(event) { alert ('x: '+ event.xAxis[0].value +', y: '+ event.yAxis[0].value); }"; $chart->setChartEvent("click", $onclick); ...
| Option name | Type | Default |
|---|---|---|
| addSeries | JS Function | null |
| Fires when a series is added to the chart after load time, using the addSeries method. The this keyword refers to the chart object itself. One parameter, event, is passed to the function. This contains common event information based on jQuery. Through event.options you can access the series options that was passed to the addSeries method. Returning false prevents the series from being added. | ||
| click | JS Function | null |
|
Fires when clicking on the plot background. The this keyword refers to the chart object itself. One parameter, event, is passed to the function. This contains common event information based on jQuery or MooTools depending on which library is used as the base for Highcharts.
Information on the clicked spot can be found through event.xAxis and event.yAxis, which are arrays containing the axes of each dimension and each axis' value at the clicked spot. The primary axes are event.xAxis[0] and event.yAxis[0]. Remember the unit of a datetime axis is milliseconds since 1970-01-01 00:00:00. click: function(e) { console.log( Highcharts.dateFormat('%Y-%m-%d %H:%M:%S', e.xAxis[0].value), e.yAxis[0].value ) } |
||
| load | JS Function | null |
| Fires when the chart is finished loading. The this keyword refers to the chart object itself. One parameter, event, is passed to the function. This contains common event information based on jQuery. | ||
| redraw | JS Function | null |
| Fires when the chart is redrawn, either after a call to chart.redraw() or after an axis, series or point is modified with the redraw option set to true. The this keyword refers to the chart object itself. One parameter, event, is passed to the function. This contains common event information based on jQuery | ||
| selection | JS Function | |
|
Fires when an area of the chart has been selected. Selection is enabled by setting the chart's zoomType. The this keyword refers to the chart object itself. One parameter, event, is passed to the function. This contains common event information based on jQuery. The default action for the selection event is to zoom the chart to the selected area. It can be prevented by calling event.preventDefault().
Information on the selected area can be found through event.xAxis and event.yAxis, which are arrays containing the axes of each dimension and each axis' min and max values. The primary axes are event.xAxis[0] and event.yAxis[0]. Remember the unit of a datetime axis is milliseconds since 1970-01-01 00:00:00. selection: function(event) { // log the min and max of the primary, datetime x-axis console.log( Highcharts.dateFormat('%Y-%m-%d %H:%M:%S', event.xAxis[0].min), Highcharts.dateFormat('%Y-%m-%d %H:%M:%S', event.xAxis[0].max) ); // log the min and max of the y axis console.log(event.yAxis[0].min, event.yAxis[0].max); } |


This record stores file-sharing options selected in the Options dialog box, accessed by using the Save As command (File menu). The write reservation password entered in the dialog box is encrypted to an integer, wResPass . This record also contains the user name of the file’s creator, stUNWriteRes .
There are minor changes to the behavior of this record in BIFF7. For Excel 7.0 workbooks without shared lists, this record behaves as it does in BIFF5.
For Excel 7.0 workbooks with shared lists, there are both FILESHARING and FILESHARING2 records in the Book stream. In this case, FILESHARING always contains a dummy password. FILESHARING2 contains either a dummy password if the workbook is not write-protected or a valid password if the workbook is write-protected.
Record Data
|
Offset |
Field Name |
Size |
Contents |
|
4 |
fReadOnlyRec |
2 |
=1 if the Read Only Recommended option is selected in the Options dialog box |
|
6 |
wResPass |
2 |
Encrypted password (if this field is 0 (zero), there is no write reservation password) |
|
8 |
cch |
1 |
Length of the user name |
|
9 |
stUNWriteRes |
var |
User name |


BP GAME
Anton
Edward
Erik
Daniel
Anton
Edward
Erik
Daniel
Anton
Edward
Erik
Daniel
Anton
Edward
Erik
Daniel
Start Game
Send Drink Event


For this week progress, focused in trying to solve contact us pages. Below is the detail for this week report.
Achievement :
- Update on contact page.
- Add and pinpoint map in contact page.
- Test drive contact form and worked.
Problem Found :
- Map API error. Switch to iframe.
Thats the end of the report.


nn-common-modules’s documentation!¶
Note
Common modules, blocks and losses which can be reused in a deep neural netwok specifically for segmentation.
1. Losses¶
Description¶
Addition losses module defines classses which are commonly used particularly in segmentation and are not part of standard pytorch library.
Usage¶
Import the package and Instantiate any loss class you want to you:
from nn_common_modules import losses as additional_losses
loss = additional_losses.DiceLoss()
Members¶
-
class
losses.
CombinedLoss
¶ A combination of dice and cross entropy loss
-
forward
(input, target, weight=None)¶ Forward pass
Parameters: - input – torch.tensor (NxCxHxW)
- target – torch.tensor (NxHxW)
- weight – torch.tensor (NxHxW)
Returns: scalar
-
-
class
losses.
CrossEntropyLoss2d
(weight=None)¶ Standard pytorch weighted nn.CrossEntropyLoss
-
forward
(inputs, targets)¶ Forward pass
Parameters: - inputs – torch.tensor (NxC)
- targets – torch.tensor (N)
Returns: scalar
-
-
class
losses.
DiceLoss
(weight=None, size_average=None, reduce=None, reduction='mean')¶ Dice Loss for a batch of samples
-
forward
(output, target, weights=None, ignore_index=None, binary=False)¶ Forward pass
Parameters: - output – NxCxHxW logits
- target – NxHxW LongTensor
- weights – C FloatTensor
- ignore_index – int index to ignore from loss
- binary – bool for binarized one chaneel(C=1) input
Returns: torch.tensor
-
-
class
losses.
FocalLoss
(gamma=2, alpha=None, size_average=True)¶ Focal Loss for Dense Object Detection
-
forward
(input, target)¶ Forward pass
Parameters: - input (torch.tensor) – shape = NxCxHxW
- target (torch.tensor) – shape = NxHxW
Returns: loss value
Return type: torch.tensor
-
-
class
losses.
IoULoss
(weight=None, size_average=None, reduce=None, reduction='mean')¶ IoU Loss for a batch of samples
-
forward
(output, target, weights=None, ignore_index=None)¶ Forward pass
Parameters: - output (torch.tensor [FloatTensor]) – shape = NxCxHxW
- target (torch.tensor [LongTensor]) – shape = NxHxW
- weights (torch.tensor [FloatTensor], optional) – shape = C, defaults to None
- ignore_index (int, optional) – index to ignore from loss, defaults to None
Returns: loss value
Return type: torch.tensor
-
2. Modules¶
Description¶
Building blocks of segmentation neural network
Usage¶
Import the package and Instantiate any module/block class you want to you:
from nn_common_modules import modules as additional_modules
dense_block = additional_modules.DenseBlock(params, se_block_type = 'SSE')
Members¶
-
class
modules.
ClassifierBlock
(params)¶ Last layer
Parameters: params (dict) – { ‘num_channels’:1, ‘num_filters’:64, ‘kernel_c’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
Returns: forward passed tensor Return type: torch.tensor [FloatTensor] -
forward
(input, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- weights (torch.tensor (N), optional) – Weights for classifier regression, defaults to None
Returns: logits
Return type: torch.tensor
-
-
class
modules.
DecoderBlock
(params, se_block_type=None)¶ Dense decoder block with maxunpool and an optional skip connections and SE block
Parameters: - params (dict) –
{ ‘num_channels’:1, ‘num_filters’:64, ‘kernel_h’:5, ‘kernel_w’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: forward passed tensor
Return type: torch.tensor [FloatTensor]
-
forward
(input, out_block=None, indices=None, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- out_block (torch.tensor [FloatTensor], optional) – Tensor for skip connection, shape = (N x C x H x W), defaults to None
- indices (torch.tensor, optional) – Indices used for unpooling operation, defaults to None
- weights (torch.tensor, optional) – Weights used for squeeze and excitation, shape depends on the type of SE block, defaults to None
Returns: Forward passed tensor
Return type: torch.tensor [FloatTensor]
- params (dict) –
-
class
modules.
DenseBlock
(params, se_block_type=None)¶ Block with dense connections
Parameters: - params (dict) –
{ ‘num_channels’:1, ‘num_filters’:64, ‘kernel_h’:5, ‘kernel_w’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: forward passed tensor
Return type: torch.tonsor [FloatTensor]
-
forward
(input)¶ Forward pass
Parameters: input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W) Returns: Forward passed tensor Return type: torch.tensor [FloatTensor]
- params (dict) –
-
class
modules.
EncoderBlock
(params, se_block_type=None)¶ Dense encoder block with maxpool and an optional SE block
Parameters: - params (dict) –
{ ‘num_channels’:1, ‘num_filters’:64, ‘kernel_h’:5, ‘kernel_w’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: output tensor with maxpool, output tensor without maxpool, indices for unpooling
Return type: torch.tensor [FloatTensor], torch.tensor [FloatTensor], torch.tensor [LongTensor]
-
forward
(input, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- weights (torch.tensor, optional) – Weights used for squeeze and excitation, shape depends on the type of SE block, defaults to None
Returns: output tensor with maxpool, output tensor without maxpool, indices for unpooling
Return type: torch.tensor [FloatTensor], torch.tensor [FloatTensor], torch.tensor [LongTensor]
- params (dict) –
-
class
modules.
GenericBlock
(params, se_block_type=None)¶ Generic parent class for a conv encoder/decoder block.
Parameters: - params (dict) – {‘kernel_h’: 5 ‘kernel_w’: 5 ‘num_channels’:64 ‘num_filters’:64 ‘stride_conv’:1 }
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: forward passed tensor
Return type: torch.tensor [FloatTensor]
-
forward
(input, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- weights (torch.tensor [FloatTensor], optional) – Custom weights for convolution, defaults to None
Returns: [description]
Return type: [type]
-
class
modules.
SDnetDecoderBlock
(params, se_block_type=None)¶ Standard decoder block with maxunpool -> skipconnections -> conv -> prelu -> batchnorm, without dense connections and an optional SE blocks
Parameters: - params (dict) –
{ ‘num_channels’:1, ‘num_filters’:64, ‘kernel_h’:5, ‘kernel_w’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: forward passed tensor
Return type: torch.tensor [FloatTensor]
-
forward
(input, out_block=None, indices=None, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- out_block (torch.tensor [FloatTensor], optional) – Tensor for skip connection, shape = (N x C x H x W), defaults to None
- indices (torch.tensor, optional) – Indices used for unpooling operation, defaults to None
- weights (torch.tensor, optional) – Weights used for squeeze and excitation, shape depends on the type of SE block, defaults to None
Returns: Forward pass
Return type: torch.tensor
- params (dict) –
-
class
modules.
SDnetEncoderBlock
(params, se_block_type=None)¶ A standard conv -> prelu -> batchnorm-> maxpool block without dense connections
Parameters: - params (dict) –
{ ‘num_channels’:1, ‘num_filters’:64, ‘kernel_h’:5, ‘kernel_w’:5, ‘stride_conv’:1, ‘pool’:2, ‘stride_pool’:2, ‘num_classes’:28, ‘se_block’: se.SELayer.None, ‘drop_out’:0,2}
- se_block_type (str, valid options are {'NONE', 'CSE', 'SSE', 'CSSE'}, optional) – Squeeze and Excite block type to be included, defaults to None
Returns: output tensor with maxpool, output tensor without maxpool, indices for unpooling
Return type: torch.tensor [FloatTensor], torch.tensor [FloatTensor], torch.tensor [LongTensor]
-
forward
(input, weights=None)¶ Forward pass
Parameters: - input (torch.tensor [FloatTensor]) – Input tensor, shape = (N x C x H x W)
- weights (torch.tensor, optional) – Weights used for squeeze and excitation, shape depends on the type of SE block, defaults to None
Returns: output tensor with maxpool, output tensor without maxpool, indices for unpooling
Return type: torch.tensor [FloatTensor], torch.tensor [FloatTensor], torch.tensor [LongTensor]
- params (dict) –


represent a pair of values, a position represented as an unsigned variable ( position ), and a bool variable ( side ). They are packed in a size_t variable. The Least Significant Bit is the bool variable, and the others bits are the position
More...
#include <block.hpp>
represent a pair of values, a position represented as an unsigned variable ( position ), and a bool variable ( side ). They are packed in a size_t variable. The Least Significant Bit is the bool variable, and the others bits are the position
| boost::sort::parallel::detail::bis::block_pos::block_pos |
( |
void |
| ) |
|
|
inline |
| boost::sort::parallel::detail::bis::block_pos::block_pos |
( |
size_t |
position, |
|
|
bool |
side = false |
|
) |
| |
|
inline |
constructor from a position and a side
- Parameters
-
| position | : position to sotre |
| side | : side to store |
| size_t boost::sort::parallel::detail::bis::block_pos::pos |
( |
void |
| ) |
const |
|
inline |
obtain the position stored inside the block_pos
- Returns
- position
| void boost::sort::parallel::detail::bis::block_pos::set_pos |
( |
size_t |
position | ) |
|
|
inline |
store a position inside the block_pos
- Parameters
-
| void boost::sort::parallel::detail::bis::block_pos::set_side |
( |
bool |
sd | ) |
|
|
inline |
| bool boost::sort::parallel::detail::bis::block_pos::side |
( |
void |
| ) |
const |
|
inline |
obtain the side stored inside the block_pos
- Returns
- bool value
The documentation for this struct was generated from the following file:
- include/boost/sort/parallel/detail/bis/block.hpp


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