new System(_settings)
System Class
Parameters:
| Name | Type | Description |
|---|---|---|
_settings |
JSON | Configuratin for system object |
- Source:
Methods
appendBeanConfig(_className, _config)
Append Bean Configutation for package defination (cann't override if already define).
Parameters:
| Name | Type | Description |
|---|---|---|
_className |
string | Package defination of class, like com.magnifyall.Test |
_config |
Object | Configuration for Bean Factory |
- Source:
getBean(_class, _query, _callback)
return Bean for class if Bean Factory Configuration is already defined
Parameters:
| Name | Type | Description |
|---|---|---|
_class |
string | Package defination of class, like com.magnifyall.Test |
_query |
Object | Will passed to |
_callback |
Object | Callback method will passed to fetchService function |
- Source:
getObjectByUID(_uid) → {Object}
Get object by UID if generated or register by current System
Parameters:
| Name | Type | Description |
|---|---|---|
_uid |
string | Object uid |
- Source:
Returns:
Object from object pool
- Type
- Object
getUID() → {string}
Generate UID
- Source:
Returns:
unique GUID
- Type
- string
import(_package, _onImportCallBack) → {Object}
Import Class in system from System source path
Parameters:
| Name | Type | Description |
|---|---|---|
_package |
string | Package defination of class, like com.magnifyall.Test represent |
_onImportCallBack |
function | Callback method called once import complete |
- Source:
Returns:
this object (current system object)
- Type
- Object
registerObject(_obj)
Register System Generated Object:- Could be use to register diffrent System object
Parameters:
| Name | Type | Description |
|---|---|---|
_obj |
Object | System generated object |
- Source:
run(_fnc)
Run in new thread
Parameters:
| Name | Type | Description |
|---|---|---|
_fnc |
Object | function to call in new thread |
- Source:
updateBean(_obj, _callback)
Update Bean for class if Bean Factory Configuration is already defined
Parameters:
| Name | Type | Description |
|---|---|---|
_obj |
Object | Bean object created by current system |
_callback |
Object | Callback method will passed to updateService function |
- Source:


Joya's homework
A table showing structured and object oriented programming landuages
structured
object oriented
ALGOL
ceylon
GNU pascal
chapel
LEAP
cobra
An expample of hiperlink
picture
A video example:
Your browser does not support the video tag.
Ghorar dak er sobdo:
Your browser does not support the audio element.
A website example:
This is an example of form
Name:
Password:
E-mail:
Choose one:
Male
Female


In Part I of this article, we have seen how the internal structure of the storage engine's index can affect an execution plan. We've seen that some plans are inherent to the way engines are implemented.
We wish to present a second scenario in which execution plans vary for different storage engines. Again, we will consider MyISAM and InnoDB. Again, we will use the world database for testing. This time, we will see how confident the storage engines are in their index search capabilities.
Many newcomers to databases often believe that an index search is always preferable to full table scan. This is not the case. If I were to look for 10 rows in a 1,000,000 rows table, using an indexed column - I could benefit from an index search. However, if I’m looking for 200,000 rows on that table (that’s 20% of the rows) - an index search can actually be much more expensive than a full table scan.
There are several points to consider here: a full table scan is often close to sequential, whereas an index traversal is not. Not only are the index nodes stored non sequentially, but the links from the index to table data may look like a macaroni plate. Also, the index structure itself is a tree-structure, and it can be shown that the number of pages in the index can be larger than the number of pages in the table. Even for partial index scans, it may be worthwhile to simply scan the table.
The threshold above which table scan is preferred is somewhere between 10% and 30% in common DBMS.
We will consider here a scenario where we index a two-valued column, a simple ‘T’ and ‘F’ enum. “That’s a very poor column to index”, you may say. But what if the ratio between the two values is high? Say, 1000:1? Should there be different search plans for the ‘F’ valued rows and for the ‘T’ valued rows?
Let us duplicate the CountryLanguage table, and make it much larger. We will create a table named “cl”, with some 125K rows.
mysql> SHOW CREATE TABLE CountryLanguage \G
*************************** 1. row ***************************
Table: CountryLanguage
Create Table: CREATE TABLE `CountryLanguage` (
`CountryCode` char(3) NOT NULL default '',
`Language` char(30) NOT NULL default '',
`IsOfficial` enum('T','F') NOT NULL default 'F',
`Percentage` float(4,1) NOT NULL default '0.0',
PRIMARY KEY (`CountryCode`,`Language`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1
1 row in set (0.00 sec)
mysql> CREATE TABLE cl SELECT * FROM CountryLanguage;
Query OK, 984 rows affected (0.02 sec)
Records: 984 Duplicates: 0 Warnings: 0
And now make it very large:
mysql> INSERT INTO cl SELECT * FROM cl;
Query OK, 984 rows affected (0.02 sec)
Records: 984 Duplicates: 0 Warnings: 0
…
mysql> INSERT INTO cl SELECT * FROM cl;
Query OK, 62976 rows affected (0.08 sec)
Records: 62976 Duplicates: 0 Warnings: 0
mysql> UPDATE cl SET IsOfficial='F';
Query OK, 1265 rows affected (0.23 sec)
Rows matched: 125952 Changed: 1265 Warnings: 0
mysql> UPDATE cl SET IsOfficial='T' WHERE RAND()<0.001;
Query OK, 148 rows affected (0.20 sec)
Rows matched: 148 Changed: 148 Warnings: 0
We have now a large table, where the majority of rows have ‘F’ values for ‘IsOfficial’, and the minority have ‘T’. We shall now add an index on this column, and will then make sure the table is in MyISAM (it may be created with another storage engine, depending on our default engine parameter).
mysql> ALTER TABLE cl ADD INDEX (IsOfficial);
Query OK, 125952 rows affected (0.31 sec)
Records: 125952 Duplicates: 0 Warnings: 0
mysql> ALTER TABLE cl ENGINE=MyISAM;
Query OK, 125952 rows affected (1.21 sec)
Records: 125952 Duplicates: 0 Warnings: 0
Now let us compare the search plans for ‘F’ and for ‘T’.
mysql> EXPLAIN SELECT * FROM cl WHERE IsOfficial='F' \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: cl
type: ALL
possible_keys: IsOfficial
key: NULL
key_len: NULL
ref: NULL
rows: 94464
Extra: Using where
1 row in set (0.02 sec)
mysql> EXPLAIN SELECT * FROM cl WHERE IsOfficial='T' \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: cl
type: ref
possible_keys: IsOfficial
key: IsOfficial
key_len: 1
ref: const
rows: 138
Extra: Using where
1 row in set (0.00 sec)
What MyISAM decided was that an index search on the ‘F’ rows is useless. A table scan was deemed to be preferable. However, for ‘T’ values rows, the index we created was just fine, and would indeed be used.
InnoDB will state differently.
mysql> ALTER TABLE cl ENGINE=InnoDB;
Query OK, 125952 rows affected (1.07 sec)
Records: 125952 Duplicates: 0 Warnings: 0
mysql> EXPLAIN SELECT * FROM cl WHERE IsOfficial='F' \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: cl
type: ref
possible_keys: IsOfficial
key: IsOfficial
key_len: 1
ref: const
rows: 61667
Extra: Using where
1 row in set (0.00 sec)
mysql> EXPLAIN SELECT * FROM cl WHERE IsOfficial='T' \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: cl
type: ref
possible_keys: IsOfficial
key: IsOfficial
key_len: 1
ref: const
rows: 148
Extra: Using where
1 row in set (0.00 sec)
On the ‘T’ search, MyISAM and InnoDB agree. But look at the plan for the ‘F’ rows: InnoDB still prefers an index search to table scan, even though it estimates a lookup on 50% of the rows.
The behavior just exposed is not entirely consistent. InnoDB and MyISAM differ in the way they update the index statistics. While ANALYZE TABLE on MyISAM performs an exaustive search on index values, InnoDB will only do 10 random test dives and return with a rough calculation. In fact, InnDB’s estimations can greatly vary from the real values distribution, and successive calls to ANALYZE table can produce varying results.
What has been presented in this part is not a rule to live by. You shouldn’t base your queries or expected behavior on the index distribution or search plan calculated by the storage engine. These may change in time. What’s instructive here is the freedom MySQL gives the storage engines in decision making, and the different actions taken when dealing with different engines.
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Methods
getCurrent()
Returns the current playback status
- Source:
getPlaylist()
Returns a Playlist object
- Source:
getStatus()
Returns the current status of the player (playing, paused, stopped)
- Source:
initialize()
Initializes this object with information on the remote player
- Source:
next()
Skips a number
- Source:
pause()
Pause playback
- Source:
play()
Resume playback
- Source:
previous()
Got o previous number
- Source:
setCurrent()
Sets a specific PlaylistItem as current
- Source:
setStatus()
Sets the player status to a specific value (playing, paused, stopped)
- Source:
stop()
Stops playback
- Source:
update()
Updates the information with information on the remote player
- Source:


 I go to them to support the obscure musicians I enjoy but I don't relish the event like many do. The music often overpowers the singing, it's all too loud, and it's a crapshoot whether they'll play your favorites.
I'll take a recorded, constructed—hell, produced—track from a studio over the same any day of the week. That's why live albums absolutely mystify me.


Jukebox 30
Listen to 30 second previews of Spotify tracks with your friends.
Offline for Maintenance
Retry soon...


# File lib/rack/reloader.rb, line 66 def rotation files = [$0, *$LOADED_FEATURES].uniq paths = ['./', *$LOAD_PATH].uniq files.map{|file| next if file =~ /\.(so|bundle)$/ # cannot reload compiled files found, stat = figure_path(file, paths) next unless found && stat && mtime = stat.mtime @cache[file] = found yield(found, mtime) }.compact end


This page requires JavaScript to be enabled.
Click these link and try different actions on the resulting dialogs.
alert('This is an alert');
confirm('This is a confirm');
prompt('This is a prompt', 'default value');


Shopify Solutions
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Professor-Insight is designed to make the process of choosing a professor simpler. You enter the RateMyProfessor URL of a professor, and you get back a neat wordcloud that is generated from the comments on the professor's page. It is a quick way to visualize what words people use the most to describe the professor.


Classes
The following classes are available globally.
-
Undocumented
See more
-
An APIClient communicates to the Stack Exchange API over HTTP.
See moreDeclaration
Swift
open class APIClient: NSObject, URLSessionDataDelegate
-
Declaration
Swift
public class APIResponse<T: JsonConvertible>: JsonConvertible, CustomStringConvertible
-
Declaration
Swift
public class Comment: Content
-
Declaration
Swift
public class Privilege: JsonConvertible, CustomStringConvertible
-
Declaration
Swift
public class Content: JsonConvertible, CustomStringConvertible
-
Declaration
Swift
public class Post: Content
-
Declaration
Swift
public class Site: JsonConvertible, CustomStringConvertible
-
Declaration
Swift
public class SuggestedEdit
-
Declaration
Swift
public class User: JsonConvertible, CustomStringConvertible


Start a new low-priority task
Start a new mediun-priority task
Start a new high-priority task
Get next task


So with all that going for it, it will probably be well received, if not by reviewers then at least by the public. It gets my premature congratulations for its assured success.
But success and quality seem to have little correlation when it comes to blockbusters, as THE BEACH proves.
The problem with THE BEACH is that there were plot holes and logical leaps that I just couldn't accept. I generally dismiss negative reviews where the only complaint is that the writer "didn't buy it," because that's purely a matter of opinion. And yet, I don't know what else to say about THE BEACH, so here goes.
Richard (Leonardo DiCaprio) has just landed in Thailand and is looking for some REAL travel experiences -- not just the usual tourist stuff. He learns of a secret island paradise from a crazy hotel neighbor named Daffy (Robert Carlyle), who has a map.
The next day, coming back from the bathroom, a strange maid tells Richard there's a note on his door. He looks at the note and sees that it is the map. He turns to ask about the note... but the maid has mysteriously vanished! He opens his neigbor's door and sees the walls covered in blood.
With such a contrived, enticing setup, how could Richard NOT follow the map? The problem is that Richard goes, not because his character seeks it out, but because the author rolls him up and chucks him in that direction.
Richard invites another couple -- Francoise (Virginie Ledoyen) and Etienne (Guillaume Canet) -- to join him in search of the perfect secluded beach on the map. They travel as close as they can to the island, then swim a kilometer or two across a channel to get to there.
They land on the far side of the island and start hiking toward paradise. They make it past a field of marijuana guarded by men with guns and eventually find their beach.
The encounter with the men with guns is preposterous.  When the man is awakened he brings another four armed men to look for the source of the noise, ready to shoot whatever it was that moved.
But if the island is so remote and there's no way to get to it except by swimming, why are ALL of these men armed with guns. Who do they think they're going to shoot? If nobody can get to the island, a single gun in a lock box ought to be enough.
Anyway, when the three arrive, they are welcomed into a "Gilligan's Island" community of fellow European travelers who believe they are living in paradise. The only rules are that you must never leave and you can't tell anyone about it -- in part because the community wants privacy, and in part because of a deal struck with the men with guns.
Several things grate at this point. There is some subtle racism. The community is populated solely by young, attractive Europeans while the brown-skinned natives on the other side of the island are sinister and violent. Francoise's character becomes a Hollywood cliché of womanhood. She sleeps with Richard before dumping Etienne, but when she suspects Richard has slept with another woman, she becomes insanely jealous.
And then there are unanswered questions, like why are there no children in this six-year old colony? And why are the next wave of newcomers not welcomed like Richard and his friends were? And why would the marijuana farmers want the fellow islanders to leave if they're worried about secrecy?
I could go on and on. I'm tempted to, so I can explain everything I left out. But enough is enough. You get the point.
If you've already seen THE BEACH, I genuinely hope you were able to enjoy it more than I was. But by now I'm sure you'll agree that it won't make any best-of-the-millennium lists next time time the opportunity arises (i.e. 2001). -- ___________ Marty Mapes<EMAIL_ADDRESS>Movie Habit http://www.moviehabit.com
"I'm a filmmaker and that's why I will never make a movie on video tape" -- Burt Reynolds, Boogie Nights
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A Computer Science Engineer, specializing in the software development arena. I'm currently working as an Associate Developer in an agile software development environment.
I'm hands on in all stages of the software development life-cycle, from planning and design to testing and deployment and release. My tasks involve brainstorming ideas, integrating new systems, rolling new features, fixing bugs, optimizing software pipeline.
Skills: AWS Certified (Cloud Practitioner), JAVA, NodeJS, React, Angular, C++, Spring, CI/CD
Below are my my few Technical Skills listed below. In my free time, I love to paint and have food.
Developed and deployed functional API, jobs and services while aligning with scheduler in real time
Created Wireframes and implemented the functionality and the responsive design using framework.
Some quick example text to build on the card title and make up the bulk of the card's content.
AWS Cloud Practitioner Certified Upscalling new features to apps with respect to cloud
Let's stay CONNECTED! Feel free to reach out to me through any of the medium atttached below:


You're a police officer and want to restore your community's trust and faith in you.
Great! At a time like this when we are more divided then ever, we need good cops to hold the line.


Mourinho keen to 'do a Mauricio' with five-year stay at Tottenham
by OmnisportJose Mourinho knows Tottenham is probably his last major club job in English football and would love to emulate the length of Mauricio Pochettino's stay in north London.
Spurs sacked Pochettino after five-and-a-half years at the helm on Tuesday, moving swiftly to secure former Chelsea, Real Madrid and Manchester United boss Mourinho as his replacement.
The 56-year-old has penned terms until the end of the 2022-23 season and spoke glowingly of the squad, facilities and wider project he has inherited in north London when facing the media for the first time in his new role.
As such, he has designs on staying in charge even longer and matching Pochettino's longevity.
"I would love to stay many years," he said. "When I say many years, I know realistically how football is.
"If I could do a Mauricio, five-and-a-half years, it would be amazing."
A three-time Premier League winner across two spells at Chelsea, Mourinho suggested he has 10 years left in the game when pondering his long-term future.
That means, if all goes to plan at Spurs, this job will conclude his time in a division with which he will be forever associated.
Other potential stops sketched out for his final years could be boyhood club Vitoria Setubal back in Portugal and his national team,
"So, I'm 56, 61 [after five years at Tottenham]," he added.
"Ten more years – Vitoria Setubal, Portugal. It's maybe the last [job in England], yeah."
The immediate item on the agenda for Mourinho is a trip to face old foe Manuel Pellegrini and a West Ham side enduring a similarly underwhelming campaign to Spurs.
Tottenham are winless in the Premier League since the end of September, with a return of three draws from their past five matches.
They lie 14th – two places and a point better off than West Ham, who last won six games ago at home to Mourinho's old employers from Old Trafford.
Also check out:Premier League Premier League Table UCL schedule


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Tootsie (1982)
Grade: 68
"Tootsie" is a successful and entertaining comedy. While not as good as its reputation, there are many genuine laughs to compensate for its weaknesses.
"Tootsie" stars Dustin Hoffman as a talented but troublesome actor, unemployable due to his reputation. Out of desperation, he dresses up as "Dorothy" to win a role as a woman on a daytime soap. He is somehow able to pull off this fraud for a year, although it causes problems with his old girlfriend Teri Garr, his new girlfriend Jessica Lange, and his boyfriend (?) Charles Durning.
"Tootsie" examines gender roles and differences, and seems to conclude that women are better than men. In his final lines, Hoffman admits that he was better as a woman than he is as a man, whatever that means.  Admittedly, the principal female characters have their faults as well. Lange drinks too much, while Garr can't get her life together.
Other than two Steven Bishop songs, the most obvious weakness of "Tootsie" is that no one except his roommate (Bill Murray, in one of his best supporting roles) and his agent (Sydney Pollack, who also directed) knows that "Dorothy" is a man. Even more unlikely is the unwanted romantic attention he receives, from Gaynes and Durning.
This was the first feature film for Geena Davis. She makes an auspicious debut in a dressing room.
"Tootsie" was nominated for numerous Academy Awards, including Best Picture, Best Actor (Hoffman), Best Director, Best Original Screenplay, Best Supporting Actress (Garr) and Best Cinematography (Owen Roizman). Somehow, the sappy "It Might Be You" was nominated for Best Original Song. The only Oscar the film won was by Jessica Lange for Best Supporting Actress.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


:a thick plate or slice (as of stone, wood, or bread): as
:the outside piece cut from a log in squaring it
:concrete pavement (as of a road)
:a strip of concrete pavement laid as a single unjointed piece
:a flat rectangular architectural element that is usually formed of a single piece or mass a concrete foundation slab
:a rectangular building having little width with respect to its length and usually height
:something that resembles a slab (as in size, shape, or density) backed up by a solid slab of reference material Times Literary Supplement


I have previously to starting study done a lot of work on this, I have had my own struggles with depression and while it was a dark path at one time I am happy to have gone through it all.
I wouldn't really know myself if I hadn't been through a lot of that, I have pushed through my internal battles and external ones running Ultra Marathons all day and most of the night. Perserverance, patience and being persistent are an important part of who I am, I do have a wide range of friends through work and training, running.
They would describe me as friendly, easy going chilled and quiet. I am quiet more then shy, when I'm engaged I have a lot to say but often when I don't it's because I'm enjoying my own thoughts
Some of the significant things I am proud of having done is completing my first 100km ultra in 2015 before I'd run my first marathon, I was physcially ready having trained significantly but it was more the emotional battle of getting through it that was really challenging. Fortunately I had a good friend to run with me towards the end.
One of the hardest decisions I have had to make was in this race, I really wanted to give up and my support team talked me around. It does sound like an odd thing to think about as being a moral or ethical choice, but not giving up on myself was the hardest and best thing I did.
Honesty and compassion are things I value, to be clear and accepting of other people and myself I have cultivated.
Patience and persistence are my greatest strengths, and I view life as a journey so focus on enjoying where I am. I have a few good friends I share my experience with.


--- layout: post title: Deep Learning - Use gradient decent with logistic regression category: machine-learning tag: [python, deep-learning] --- {% include JB/setup %}
In this note, I am going to train a logistic regression model with gradient decent
estimation.
Logistic regression model can be thought as a neural network without hidden layer and hence a good entry of learning deep learning model.
This note will covere:
Here we are generating 20 data points from 2 class distributions: blue $(t=1)$ and red $(t=-1)$
import numpy as np # Matrix and vector computation package
np.seterr(all='ignore') # ignore numpy warning like multiplication of inf
import matplotlib.pyplot as plt # Plotting library
from matplotlib.colors import colorConverter, ListedColormap # some plotting functions
from matplotlib import cm # Colormaps
# Allow matplotlib to plot inside this notebook
%matplotlib inline
# Set the seed of the numpy random number generator so that the tutorial is reproducable
np.random.seed(seed=1)
# Define and generate the samples
nb_of_samples_per_class = 20 # The number of sample in each class
red_mean = [-1,0] # The mean of the red class
blue_mean = [1,0] # The mean of the blue class
std_dev = 1.2 # standard deviation of both classes
# Generate samples from both classes
x_red = np.random.randn(nb_of_samples_per_class, 2) * std_dev + red_mean
x_blue = np.random.randn(nb_of_samples_per_class, 2) * std_dev + blue_mean
# Merge samples in set of input variables x, and corresponding set of output variables t
X = np.vstack((x_red, x_blue)) # 20x2
t = np.vstack((np.zeros((nb_of_samples_per_class,1)), np.ones((nb_of_samples_per_class,1)))) # 20 x1
# Plot both classes on the x1, x2 plane
plt.plot(x_red[:,0], x_red[:,1], 'ro', label='class red')
plt.plot(x_blue[:,0], x_blue[:,1], 'bo', label='class blue')
plt.grid()
plt.legend(loc=2)
plt.xlabel('$x_1$', fontsize=15)
plt.ylabel('$x_2$', fontsize=15)
plt.axis([-4, 4, -4, 4])
plt.title('red vs. blue classes in the input space')
plt.show()
Model can be described as: $$ y = \sigma(\mathbf{x} * \mathbf{w}^T) $$ $$\sigma(z) = \frac{1}{1+e^{-z}}$$
The parameter set $w$ can be optimized by maximizing the likelihood: $$\underset{\theta}{\text{argmax}}\; \mathcal{L}(\theta|t,z) = \underset{\theta}{\text{argmax}} \prod_{i=1}^{n} \mathcal{L}(\theta|t_i,z_i)$$
The likelihood can be described as join distribution of $t\;and\;z\;$given $\theta$: $$P(t,z|\theta) = P(t|z,\theta)P(z|\theta)$$ We don't care the probability of $z$ so $$\mathcal{L}(\theta|t,z) = P(t|z,\theta) = \prod_{i=1}^{n} P(t_i|z_i,\theta)$$ and $t_i$ is a Bernoulli variable. so $$\begin{split} P(t|z) & = \prod_{i=1}^{n} P(t_i=1|z_i)^{t_i} * (1 - P(t_i=1|z_i))^{1-t_i} \\ & = \prod_{i=1}^{n} y_i^{t_i} * (1 - y_i)^{1-t_i} \end{split}$$ The cross entropy cost function can be defined as (by taking negative $log$):
$$\begin{split} \xi(t,y) & = - log \mathcal{L}(\theta|t,z) \\ & = - \sum_{i=1}^{n} \left[ t_i log(y_i) + (1-t_i)log(1-y_i) \right] \\ & = - \sum_{i=1}^{n} \left[ t_i log(\sigma(z) + (1-t_i)log(1-\sigma(z)) \right] \end{split}$$and $t$ can be only 0 or 1 so above can be expressed as: $$\xi(t,y) = -t * log(y) - (1-t) * log(1-y)$$
The grandient decent
can be defined as:
$$w(k+1) = w(k) - \Delta w(k)$$
$$\Delta w(k) = \mu\frac{\partial \xi}{\partial w} \;\;\; where \;\mu\; is\; learning\; rate$$
simplely apply chain rule
here:
$$\frac{\partial \xi_i}{\partial \mathbf{w}} = \frac{\partial z_i}{\partial \mathbf{w}} \frac{\partial y_i}{\partial z_i} \frac{\partial \xi_i}{\partial y_i}$$
(1) $$\begin{split} \frac{\partial \xi}{\partial y} & = \frac{\partial (-t * log(y) - (1-t)* log(1-y))}{\partial y} = \frac{\partial (-t * log(y))}{\partial y} + \frac{\partial (- (1-t)*log(1-y))}{\partial y} \\ & = -\frac{t}{y} + \frac{1-t}{1-y} = \frac{y-t}{y(1-y)} \end{split}$$
(2) $$\frac{\partial y}{\partial z} = \frac{\partial \sigma(z)}{\partial z} = \frac{\partial \frac{1}{1+e^{-z}}}{\partial z} = \frac{-1}{(1+e^{-z})^2} *e^{-z}*-1 = \frac{1}{1+e^{-z}} \frac{e^{-z}}{1+e^{-z}} = \sigma(z) * (1- \sigma(z)) = y (1-y)$$
(3) $$\frac{\partial z}{\partial \mathbf{w}} = \frac{\partial (\mathbf{x} * \mathbf{w})}{\partial \mathbf{w}} = \mathbf{x}$$
So combine (1) - (3): $$\frac{\partial \xi_i}{\partial \mathbf{w}} = \frac{\partial z_i}{\partial \mathbf{w}} \frac{\partial y_i}{\partial z_i} \frac{\partial \xi_i}{\partial y_i} = \mathbf{x} * y_i (1 - y_i) * \frac{y_i - t_i}{y_i (1-y_i)} = \mathbf{x} * (y_i-t_i)$$
Finally, we get: $$\Delta w_j = \mu * \sum_{i=1}^{N} x_{ij} (y_i - t_i)$$
First of all, define the logistic function logistic
and the model nn
. The cost
function is the sum of the cross entropy of all training samples.
# Define the logistic function
def logistic(z):
return 1 / (1 + np.exp(-z))
# Define the neural network function y = 1 / (1 + numpy.exp(-x*w))
# x:20x2 and w: 1x2 so use w.T here
def nn(x, w):
return logistic(x.dot(w.T)) # 20x1 -> this is y
# Define the neural network prediction function that only returns
# 1 or 0 depending on the predicted class
def nn_predict(x,w):
return np.around(nn(x,w))
# Define the cost function
def cost(y, t):
return - np.sum(np.multiply(t, np.log(y)) + np.multiply((1-t), np.log(1-y))) # y and t all 20x1
Plot the cost function and as you can see it's convex and has global optimal minimum.
# Plot the cost in function of the weights
# Define a vector of weights for which we want to plot the cost
nb_of_ws = 100 # compute the cost nb_of_ws times in each dimension
ws1 = np.linspace(-5, 5, num=nb_of_ws) # weight 1
ws2 = np.linspace(-5, 5, num=nb_of_ws) # weight 2
ws_x, ws_y = np.meshgrid(ws1, ws2) # generate grid
cost_ws = np.zeros((nb_of_ws, nb_of_ws)) # initialize cost matrix
# Fill the cost matrix for each combination of weights
for i in range(nb_of_ws):
for j in range(nb_of_ws):
cost_ws[i,j] = cost(nn(X, np.asmatrix([ws_x[i,j], ws_y[i,j]])) , t)
# Plot the cost function surface
plt.contourf(ws_x, ws_y, cost_ws, 20, cmap=cm.pink)
cbar = plt.colorbar()
cbar.ax.set_ylabel('$\\xi$', fontsize=15)
plt.xlabel('$w_1$', fontsize=15)
plt.ylabel('$w_2$', fontsize=15)
plt.title('Cost function surface')
plt.grid()
plt.show()
The grandinet
and delta_w
is just simple equations we produced above.
# define the gradient function.
def gradient(w, x, t):
return (nn(x, w) - t).T * x
# define the update function delta w which returns the
# delta w for each weight in a vector
def delta_w(w_k, x, t, learning_rate):
return learning_rate * gradient(w_k, x, t)
Start trining and just interating for 10 steps. w = w-dw
is key point we update w during each integration.
# Set the initial weight parameter
w = np.asmatrix([-4, -2])
# Set the learning rate
learning_rate = 0.05
# Start the gradient descent updates and plot the iterations
nb_of_iterations = 10 # Number of gradient descent updates
w_iter = [w] # List to store the weight values over the iterations
for i in range(nb_of_iterations):
dw = delta_w(w, X, t, learning_rate) # Get the delta w update
w = w-dw # Update the weights
w_iter.append(w) # Store the weights for plotting
Plot just 4 itegrations and you can see it toward to global minimum.
# Plot the first weight updates on the error surface
# Plot the error surface
plt.contourf(ws_x, ws_y, cost_ws, 20, alpha=0.9, cmap=cm.pink)
cbar = plt.colorbar()
cbar.ax.set_ylabel('cost')
# Plot the updates
for i in range(1, 4):
w1 = w_iter[i-1]
w2 = w_iter[i]
# Plot the weight-cost value and the line that represents the update
plt.plot(w1[0,0], w1[0,1], 'bo') # Plot the weight cost value
plt.plot([w1[0,0], w2[0,0]], [w1[0,1], w2[0,1]], 'b-')
plt.text(w1[0,0]-0.2, w1[0,1]+0.4, '$w({})$'.format(i), color='b')
w1 = w_iter[3]
# Plot the last weight
plt.plot(w1[0,0], w1[0,1], 'bo')
plt.text(w1[0,0]-0.2, w1[0,1]+0.4, '$w({})$'.format(4), color='b')
# Show figure
plt.xlabel('$w_1$', fontsize=15)
plt.ylabel('$w_2$', fontsize=15)
plt.title('Gradient descent updates on cost surface')
plt.grid()
plt.show()
The sample codes in this note come from peterroelants.github.io where providing more details on neural netwrok and deep learning. It's very informative and highly recommanded. Here is more like my personal memo.


Any experiment involving randomness results in one of several possible outcomes. The outcome space is the collection of all such outcomes.
Formally, an outcome space is just a set, usually denoted by $\Omega$. That's the upper case Greek letter Omega.
We will assume for now that $\Omega$ is finite. In a sense this is not restrictive, as even the largest data sets are finite and the most powerful computers perform finitely many operations per task. However, we will soon see that allowing infinitely many possible outcomes not only results in a rich and elegant theory but also gives us deeper insights into problems involving finite outcome spaces. So the assumption that $\Omega$ is finite will be lifted in later chapters, once we have acquired some fluency with working in the finite case.
An outcome $\omega$ is an element of the outcome space $\Omega$. Though $\omega$ looks like the letter w, it's the lower case Greek omega and is usually more rounded in appearance than w.
An event is a subset of $\Omega$. The empty set $\phi$ and the entire space $\Omega$ are allowed as subsets. By convention, early letters of the alphabet like $A$ and $B$ are commonly used as notation for events.
Suppose you are shuffling three cards labeled $a$, $b$, and $c$. Then the space of all possible outcomes is $$ \Omega ~=~ \{ abc, ~acb, ~bac, ~bca, ~cab, ~cba \} $$ The event $\{abc, ~ acb \}$ can be described as "$a$ appears first". Such verbal descriptions of events are made formal by defining the events as subsets. This is the first step in developing a theory that is precise and consistent while also being expressed in language that is natural for applications.
| Event | Verbal Description | Subset $~~~~~~~~~~~~$ |
|---|---|---|
| $A$ | $a$ appears first | $\{abc, ~acb\}$ |
| $B$ | $b$ and $c$ are not next to each other | $\{bac, ~cab\}$ |
| $C$ | the letters are in alphabetical order | $\{abc\}$ |
| $D$ | $a$ appears first, $b$ next, but $c$ isn't third | $\phi$ |
| $E$ | $c$ is either first, second, or third | $\Omega$ |
| $F$ | the letters form a word that means "taxi" | $\{ cab \}$ |
A note about "types": The outcome $\omega = cab$ is different from the event $F = \{ cab \}$. The outcome is an element of the outcome space, and the event is a subset of the outcome space. This subset happens to consist of just one outcome, but it's still a subset, not an element. You can think of this as analogous to different types in Python: 'cab'
is a string whereas ['cab']
is a list.
The table contains six events and you can come up with many more. For each one, see if you can give an interesting verbal description.
When you shuffle cards for a game, the goal is to make the order of the cards "random". Preferably, you'd like any permutation to be just as likely as any other. So let's start working with equally likely outcomes.


3. Internationalization¶
3.1. Introduction¶
Unless there is a very good reason to do otherwise, every web application should be internationalized, or at least be ready for it. Internationalization (i18n) means that the content of the site will change according to the locale of the user visiting it, where locale stands for “language and regional settings”.
These are the aspects of i18n that should be considered:
language user choice
search engine indexing
immutable text
database text fields
enum values
3.1.1. Language user choice¶
Browsers send the user system language to the server at each request. Actually, some browsers allow users to override the system language. Still, that’s a very inconvenient way to choose language. You should also give the user a way to choose a different language for your site using something like a dropdown menu.
3.1.2. Search engine indexing¶
The chosen language should be reflected in the url for a number of reasons:
better search engine indexing
bookmarking
One way to put the language in the url would be to
add a request parameter like ?lang=fr
; another option is to add the language code in the servlet path,
like example.com/fr/home
. The Yada Framework supports both.
You can also use a full Locale code instead of the language code, like fr_CA for french in Canada.
3.1.3. Immutable (static) text¶
A typical web page usually shows some text that is statically typed, i.e. not added via a CMS backend but typed directly into the HTML code. This may be a title, a menu entry, an image caption, or a description. All this statically typed text can’t be used in a i18n application: the text must change according to the user language.
3.1.4. Database text fields¶
Traditional applications with just one language store a Java String attribute into a single table column in the database. With i18n applications, where a Java attribute can have as many values as the languages that are allowed, the single-column approach can’t work anymore. There are many solutions to this problem. The Yada Framework stores a localized String attribute into a dedicated table, where a row holds the value for a single instance in a single language.
For example, consider a Product with a non-localized “name” and a localized “description”. The Database model could be like the following:
Table: Product
id |
name |
1 |
AirOne |
2 |
AirMax |
Table: Product_description
Product_id |
description |
locale |
1 |
Small inflatable ball |
en_GB |
1 |
Piccola palla gonfiabile |
it_IT |
2 |
Big inflatable ball |
en_GB |
2 |
Grande palla gonfiabile |
it_IT |
3.1.5. Enum values¶
Todo
TO BE CONTINUED…
3.2. Configuring “language in the path”¶
URL Example:
http://www.example.com/it/myHome
3.2.1. Java code¶
If your project does not use YadaSecurity, change WebApplicationInitializer
in order to add a servlet filter:
@Override
protected Filter[] getServletFilters() {
// Locale in the path
// See https://stackoverflow.com/a/23847484/587641
return new Filter[] { new DelegatingFilterProxy("yadaLocalePathVariableFilter") };
}
The above adds a filter to the Spring servlet engine. It is not needed when using YadaSecurity because the same is
already done in net.yadaframework.security.SecurityWebApplicationInitializer
.
Hint
The “language in the path” functionality is implemented in YadaLocalePathVariableFilter, YadaLocalePathChangeInterceptor, YadaLinkBuilder
3.2.2. Application configuration¶
Edit the conf.webapp.prod.xml configuration file (were ‘prod’ is the environment code for “production”) adding a section like the following:
<i18n localePathVariable="true">
<locale>it</locale>
<locale default="true">en</locale>
<locale>de</locale>
<locale>es</locale>
<locale>fr</locale>
<locale>ru</locale>
</i18n>
Note the use of the “default” attribute. This is not the locale that will be set when there is not a valid value in the request (you’d get a 404 HTTP error). This is actually the language to use for strings retrieved from the database (see Database fields below).
Other than just the language, you can use a full locale code though this is rarely needed:
<i18n localePathVariable="true">
<locale>it_IT</locale>
<locale default="true">en_GB</locale>
<locale>en_US</locale>
<locale>es_ES</locale>
<locale>fr_FR</locale>
<locale>fr_CA</locale>
</i18n>
You can also configure a country to be added to the locale after the request has been received. This way you can still use just the language code in the url but receive a full Locale in the java @Controller:
<i18n localePathVariable="true">
<locale country="IT">it</locale>
<locale country="GB" default="true">en</locale>
<locale country="DE">de</locale>
<locale country="ES">es</locale>
<locale country="FR">fr</locale>
<locale country="RU">ru</locale>
</i18n>
3.3. Using “language in the path”¶
3.3.1. Java¶
<IP_ADDRESS>. Language on redirect¶
When returning a redirect string, the language path should be present: /fr/products
. The method YadaWebUtil.redirectString()
can add the
needed language to the url, and also any parameters (see javadoc):
return YadaWebUtil.redirectString("/products", locale, "id", "172");
The YadaWebUtil.redirectString()
returns the “redirect:” prefix too. In order to create a string without that prefix, use YadaWebUtil.enhanceUrl()
.
<IP_ADDRESS>. URL with no language¶
The default language is also needed when someone types just the server address without path from a browser in a language that is not in the configuration. In such case, the default language should be used:
@RequestMapping("/")
public String home(Model model, HttpServletRequest request, Locale locale) {
if (YadaLocalePathChangeInterceptor.localePathRequested(request)) {
// Language was in the url
return home(model, request);
}
// Language was not in the url
String currentLanguage = locale.getLanguage();
if (!config.getLocaleStrings().contains(currentLanguage)) {
// Not a configured locale - use the default one
Locale defaultLocale = config.getDefaultLocale();
if (defaultLocale==null) {
// Default locale was not configured - use english
defaultLocale = Locale.ENGLISH;
}
currentLanguage = defaultLocale.getLanguage();
}
return "redirect:/" + currentLanguage + "/home"; // Moved temporarily
Todo
the default language redirect should be implemented in YadaLocalePathVariableFilter
3.3.2. HTML¶
The standard Thymeleaf @{url}
syntax has been retrofitted to automatically handle language in the path:
the current locale will be added at the start of every url, so @{/home}
becomes /de/home
for example.
3.3.3. Javascript¶
The language in the path variable can be changed via javascript using
yada.changeLanguagePathVariable(locale);
where “locale” is the ISO2 locale code. This code could be called when choosing from a list of languages.
3.4. Configuring “language request parameter”¶
URL Example:
http://www.example.com/myHome?lang=it
This is easier to configure because you don’t need to change the Java code. The application configuration is the same but you need to set localePathVariable=”false”.
Todo
check that this stil works and what it does. I think YadaWebUtil.enhanceUrl() doesn’t work properly
3.5. Coding with i18n text¶
3.5.1. Static text¶
To implement localized static text just use the standard Spring “MessageSource” concept: store all text in different
message.properties
files, indexed by a key.
The Yada Framework expects message source files to be in the WEB-INF/messages
folder, with a file name in the
messages[_<lang>].properties
format. Example:
messages_de.properties
messages_fr.properties
messages_ru.properties
messages.properties
Each file stores the text of a different language. You don’t need to add them all immediately: start
from the default language in messages.properties
then add the translations when they become needed.
The default language can be any language that you consider to be the “base” language: all keys that are
not found in a specific language are searched in the default one; when not found, the key
is shown as text.
The content of the file is in the standard Java “MessageFormat” format:
<key> = <value>
Example:
validation.empty = This value can't be empty
validation.password.length = Password can''t be shorter than {0} characters and longer than {1}
files.total = There {0,choice,0#are no files|1#is one file|1<are {0,number,integer} files}.
In particular:
{0} and {1} are ways of passing parameters
when a parameter is specified, a single quote must be escaped by another single quote
there’s a powerful way of specifying variations like singular/plural (choice format)
In production, files are reloaded every 600 seconds (10 minutes) to pick up changes.
Hint
The Message Source configuration is implemented in YadaAppConfig.messageSource()
<IP_ADDRESS>. Usage with Thymeleaf¶
The syntax to show a localized string in Thymeleaf is #{<key>}
. Example:

Any placeholder text here will be overwritten

See the Thymeleaf docs for more details.
<IP_ADDRESS>. Usage in Java¶
To get the localized text in java you first autowire a MessageSource bean, then use the getMessage() method:
@Autowired private MessageSource messageSource;
public String someMethod(Locale locale) {
String msg1 = messageSource.getMessage("validation.empty", null, locale);
String msg2 = messageSource.getMessage("validation.password.length", new Object[]{5, 10}, locale);
3.5.2. Database fields¶
The Yada Framework uses the table-per-attribute approach to multivalue string attributes.
An @Entity with a localized string attribute can be defined with a Map<Locale, String>
so
that values are related to their locale:
@ElementCollection
@Column(length=8192)
@MapKeyColumn(name="locale", length=32)
private Map<Locale, String> description = new HashMap<>();
To retrieve the value in a specific locale, use YadaUtil.getLocalValue(). This will return the value in the specified locale or null. If a default locale has been configured (see Application configuration above) then the default locale will be tried before returning null. This is useful when all locales have the same value and you only want to set it once: the value for the default language will be “inherited” by all current and future configured languages.
String productDesc = YadaUtil.getLocalValue(product.getDescription(), locale);
String productDesc = YadaUtil.getLocalValue(product.getDescription()); // Use current locale
It can be very convenient to add to the entity a method that retrieves the value in the current locale (the locale of the current request):
@Entity
public class Product {
...
@ElementCollection
@Column(length=8192)
@MapKeyColumn(name="locale", length=32)
private Map<Locale, String> description = new HashMap<>();
...
public String getDescriptionLocal() {
return YadaUtil.getLocalValue(description);
}
This allows for a simple use in Thymeleaf:

Some description


Showing
10
paths (filtered:
) from
paths |
Reset All
Node Count
reset
Path Count
range:
reset
ROI
range:
reset
Before implementation
Charts and interactions are not production ready
P2P chart should be integrated with dc.
Known Issues:
Group by children and generating integrate chart is not solved
Water fill is not exactly 100% in the initial load
First load data is not sorted by ROI. This could be sorted from server
Tooltip doesnt work on hover on text of the circle
click on outside of the filter to reset doesnt trigger P2P chart redraw. However, the reset button does
How the Hack works
Simply create the group and charts
Integrating P2P chart with cross filter is a hack
And reset function is manually inserted in the reset button
Node count chart doesn't have x axis label, it was hacked


Mission
“To create a top notch health care system that delivers physical, mental and spiritual health needs to all socio-economic strata, locally, nationally and globally; and also to educate and train students to emerge as the finest medical doctors in the community”.
Vision
“To be a world class health care centre, providing affordable and quality services in all medical specialties to the local, national and international communities”.
Goals
Compassion. Care. Cure.
To treat the patients with compassion.
To recognize and understand the problems of patients and take care of them.
To dedicate ourselves & desire to see the patient is fully cured.
To supplement & compliment the policy of providing health care facilities of the State.
The Promoters
Dr. Y.D. Patel
In the realm of education and healthcare in the state of Maharashtra, one name stands out like a shining beacon, that of Dr. D. Y. Patil. His vision, dedication and passion have been indelibly influenced by his wisdom and generosity; and have left several benchmarks, be it in the schools for imparting basic education or institutes for higher learning.
His regard and respect for traditional values and openness to modern ideas, blend perfectly with his admirable personality. The Ramrao Adik Institute of Technology in Navi Mumbai, established two decades ago and the Krish Vigyan Kendra in Kohlapur bear a testimony to his chosen causes. Amongst the various institutes (160 and counting) founded by him, the Padmashree Dr. D. Y. Patil University at Navi Mumbai is virtually the jewel in his crown.
Humble and unassuming, Dr. Y.D. Patel is better known for his work, rather than the awards and recognition he has received over the years. For his pioneering contribution in the field of education, he was honoured with the title 'Padmashree' by the President of India.
His Excellency Dr.D.Y.Patil has relinquished all executive positions of the group. Nonetheless, he still remains our source of guidance and motivation.
Dr. Vijay Patel
An educational institute, to be truly world-class, has to be solid and state-of-the-art, when it comes to infrastructure. The person responsible for making this happen is Mr. Vijay D. Patil.
Mr Patel possesses the right qualification (Bachelor's in Engineering and an M.B.A. from the Bond university, Australia) and the organizational capability for managing the infrastructure needs of a group of this magnitude.
A pointer towards his skills is the establishment of the state of art stadium at Nerul with all kinds of facilities international cricket demands.
Dr. Ajeenkya Patel
Dr. Ajeenkya Patel has a Master's Degree from Richmond College, U.K. and specialization in Marketing from the London School of Economics. He lives a dream of turning the state into a centre of world-class learning and education.
All Y.D.Patel International Schools have been planned under his leadership and bear testimony to this fact. He has been honoured with an Honorary Doctorate by the University of Central Lancanshire, United Kingdom.
He is also the force behind providing international linkages to the various institutions of the group.


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The Mumbai OpenSource Network or TMON for short, is an organization where we collaborate to make Mumbai a better place , one issue / pull request at a time! :-)
Lines of Code
Published
Completed Projects
Join an inclusive community of budding and industy-best coders to collaborate on some of the most awesome projects in trendy domains!


|
JGraph |
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| Packages that use AttributeMap | |
| org.jgraph | JGraph's topmost package which contains the JGraph class. |
| org.jgraph.graph | Graphs are made up of a number of classes and interfaces defined in their own
package - the jgraph.graph package. |
| Uses of AttributeMap in org.jgraph |
| Methods in org.jgraph that return AttributeMap | |
AttributeMap |
JGraph.getAttributes(Object cell)
Returns the attributes for the specified cell. |
| Methods in org.jgraph with parameters of type AttributeMap | |
static Map |
JGraph.createBounds(AttributeMap map,
int x,
int y,
Color c)
Returns an attributeMap for the specified position and color. |
| Uses of AttributeMap in org.jgraph.graph |
| Fields in org.jgraph.graph declared as AttributeMap | |
protected AttributeMap |
DefaultGraphModel.attributes
The model's own attributes as a map. |
protected AttributeMap |
DefaultGraphCell.attributes
Hashtable for properties. |
protected AttributeMap |
AbstractCellView.allAttributes
Contains the complete set of attributes, including the cell's attributes. |
protected AttributeMap |
AbstractCellView.attributes
Hashtable for attributes. |
static AttributeMap |
AttributeMap.emptyAttributeMap
Shared empty attribute map to return instead of null in applyMap. |
| Methods in org.jgraph.graph that return AttributeMap | |
AttributeMap |
DefaultGraphModel.getAttributes(Object node)
Returns a Map that represents the attributes for the
specified cell. |
AttributeMap |
DefaultGraphCell.getAttributes()
Returns the properies of the cell. |
AttributeMap |
GraphCell.getAttributes()
Returns the attributes of the cell. |
protected AttributeMap |
AbstractCellView.createAttributeMap()
Hook for subclassers to avoid creating an empty AttributeMap during construction of the instance. |
protected AttributeMap |
AbstractCellView.getCellAttributes(GraphModel model)
Hook for subclassers to avoid cloning the cell's attributes. |
AttributeMap |
AbstractCellView.getAttributes()
Return the attributes of the view. |
AttributeMap |
AbstractCellView.getAllAttributes()
Returns the attributes of the view combined with the attributes of the corresponding cell. |
AttributeMap |
CellView.getAttributes()
Returns all attributes of the view as a map. |
AttributeMap |
CellView.getAllAttributes()
|
AttributeMap |
AttributeMap.applyMap(Map change)
Apply the change to this views attributes. |
AttributeMap |
AttributeMap.cloneEntries(AttributeMap newMap)
Clones special object entried in the given map. |
AttributeMap |
GraphModel.getAttributes(Object node)
Returns a AttributeMap that represents the properties for
the specified cell. |
| Methods in org.jgraph.graph with parameters of type AttributeMap | |
void |
DefaultGraphCell.setAttributes(AttributeMap attributes)
Sets the attributes. |
void |
GraphCell.setAttributes(AttributeMap map)
Sets the attributes |
void |
AbstractCellView.setAttributes(AttributeMap attributes)
Sets the attributes of this view to the specified value |
AttributeMap |
AttributeMap.cloneEntries(AttributeMap newMap)
Clones special object entried in the given map. |
| Constructors in org.jgraph.graph with parameters of type AttributeMap | |
DefaultGraphModel(List roots,
AttributeMap attributes)
Constructs a model that is not an attribute store. |
|
DefaultGraphModel(List roots,
AttributeMap attributes,
ConnectionSet cs)
Constructs a model using the specified information to construct the cells, attributes and connection data. |
|
DefaultGraphCell(Object userObject,
AttributeMap storageMap)
Constructs a cell that holds a reference to the specified user object and contains the specified array of children and sets default values for the bounds attribute. |
|
DefaultGraphCell(Object userObject,
AttributeMap storageMap,
MutableTreeNode[] children)
Creates a graph cell and initializes it with the specified user object. |
|
DefaultEdge(Object userObject,
AttributeMap storageMap)
Constructs an edge that holds a reference to the specified user object and sets default values for points and the label position. |
|
JGraph |
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| PREV NEXT | FRAMES NO FRAMES |


This patient has been ceased due to No cervix.
Patient has recently registered with your GP practice but they are ceased from the Screening Programme.
Please submit once the patient has been reviewed.


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Study in Australia at La Trobe University - Watch video
Study in Australia at La Trobe University
Study in Australia at La Trobe University Watch video


Learner Personas
It is helpful to think about the learner you are designing for before creating your space. You can describe what a potential learner may know, issues they may have, potential trouble spots, and most importantly what they can contribute to the space you design with your students.
Below are my examples
Hesitant learner,
Chris is a student in my program. He has already taken Digital Teaching and Learning I. Chris knows basic principles for universal design of learning. She has an understanding of Google Apps and uses them in her classroom. Chris has been blogging for a long time on weebly. Chris is a little hesitant in the class using GitHub and Glitch. Mainly because she is not always used to sharing and wants to only show perfection. Chris understanding of how to craft feedback makes her a huge asset in the class. She can keep conversations going across blogs.
Erica Computer Science Student, not taking class for credit
Erica joined the class after reading about it on Twitter. She has been playing with IndieWeb stuff for awhile and wants to try and build a MicroSub reader. She pops in and out of the class doing some of the events but mainly hacks away on her own project. Erica has never worked on a project in the Open before and needs some guidance in controlling expectations of what can be accomplished well under fast deadlines. She really is a blast to hang out with in the class stream and the stuff Erica makes is awesome.
Sanju, Teacher in Master's of Education Program
Sanju has never taken an online class before and doesn't use the web much beyond social media. She took the class after enjoiying Digital Teaching and Learning I. Sanju needs additional support like week zero sign up meetings and drop in online office hours. She is committed to learning how to turn her favorite Shakespeare unit into an online template she can share with the world.
Brian, Community Expert
Brian has been active in the WordPress and IndieWeb communities for some time. He has volunteered to help with the class. Brian will record a few podcasts throughout the class. He also "answers" by sharing post he created. He models many of the behaivors necessary for us to take back the web.
Michelle, Teacher, Not taking class for credit
Michelle heard about the class on Twitter. She has always heard about IndieWeb and having a domain of your own. She is super excited to move her blog from Blogger to WordPress and try the IndieWeb thing.Michelle doesn't compete all of the activities but does read and annotate many of the works assigned in class. She is working on taking an algebra unit and moving it online.


--- layout: post title: Debugging print styles on Chrome & Firefox date: 2016-12-27 08:44:56.000000000 +07:00 type: post parent_id: '0' published: true password: '' status: publish categories: - Coding - Tips tags: [] meta: _edit_last: '12737289' _at_widget: '1' restapi_import_id: 59486cef9f102 original_post_id: '1301' _wp_old_slug: '1301' geo_public: '0' _publicize_job_id: '6400111701' author: login: nemopear email<EMAIL_ADDRESS>display_name: nemopear first_name: NUTCHAYA last_name: VORAYINGYONG permalink: "/2016/12/27/debugging-print-styles-on-chrome-firefox/" ---
Debugging print styles in Chrome
In Chrome open DevTools
Show the console drawer (Esc), open the rendering pane, check Emulate CSS Media and select Print.
[caption id="attachment_1379" align="aligncenter" width="768"] Debugging print styles in Chrome[/caption]
Debugging print styles in Firefox
For debugging print styles in Firefox open the Developer Toolbar
The active tab will act as if the media type was print until you close it or refresh the page.
[caption id="attachment_1380" align="aligncenter" width="520"] Debugging print styles in Firefox[/caption]


--- layout: post status: publish published: true title: Congrats to Dare author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 921 wordpress_url: http://winterdom.com/2003/05/congratstodare date: '2003-05-13 18:11:26 +0000' date_gmt: '2003-05-13 18:11:26 +0000' categories: - Personal tags: [] comments: [] ---
Dare is celebrating his 25th birthday today. Congrats man!
Would've never guessed I'm actually a few months older than you ;) (well, it's actually hard to guess about anyone online, since most of them I've never met)


|
Standard Reference Data Program |
Data Gateway |
Chemistry WebBook |
Go To: Top, References, Notes / Error Report
Data compilation copyright by the U.S. Secretary of Commerce on behalf of the U.S.A. All rights reserved.
Data compiled by: K.P. Huber and G. Herzberg
| State | Te | ωe | ωexe | ωeye | Be | αe | γe | De | βe | re | Trans. | ν00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A 2Σg+ | Repulsive state arising from He(11S) + He+(12S). 1 | |||||||||||
| Browne, 1966; Olson and Mueller, 1967; Gupta and Matsen, 1967 | ||||||||||||
| X 2Σg+ | 0 | 1698.5 2 | 35.3 | 7.211 2 | 0.224 | 5.1E-4 | 1.0808 | |||||
| Ginter and Ginter, 1968; Ginter and Battino, 1970; Ginter and Brown, 1972 |
| 1 | The potential functions of several excited states have been calculated by Browne, 1966, Bardsley, 1971. A 2Σg+, the lowest 2Σg+ state, has a very small van der Waals minimum at 5.3 Å and a hump near 0.8 Å caused by an avoided crossing with the second lowest 2Σg+ state; see Gupta and Matsen, 1967. The states 4Σu+, 2Σg+, 2Σu+ arising from He(2 3S) + He+(1 2S) are found to have minima with De(4Σu+) ~1.1 eV, De(2Σg+) ~0.57 eV, De(2Σu+) ~ 0.46 eV, respectively; several other states are purely repulsive. |
| 2 | Constants obtained by extrapolation from the npπ 3Πg Rydberg series of He2; they agree with values derived from the theoretical potential function of Browne, 1966 and Gupta and Matsen, 1967. |
| 3 | From the theoretical De= 2.469 ± -0.006 eV Liu, 1971. From He - He+ differential scattering cross sections Olson and Mueller, 1967 and Weise, Mittmann, et al., 1971 obtain De= 2.34 eV Olson and Mueller, 1967 and De= 2.55 eV Weise, Mittmann, et al., 1971, respectively. |
| 4 | Theoretical value Fraga and Ransil, 1962. |
| 5 | The theoretical potential function according to Fraga and Ransil, 1962, Conroy and Bruner, 1967 shows a local minimum at 0.704 Å and 69600 cm-1 above He+ + He+, separated from this limit by a maximum at 1.151 Å and 82200 cm-1. He2++ has not yet been found mass- spectrometrically, nor has its spectrum been observed. |
Go To: Top, Constants of diatomic molecules, Notes / Error Report
Data compilation copyright by the U.S. Secretary of Commerce on behalf of the U.S.A. All rights reserved.
Browne, 1966
Browne, J.C.,
Wavefunctions and potential curves for excited states of He2+,
J. Chem. Phys., 1966, 45, 2707-2709. [all data]
Olson and Mueller, 1967
Olson, R.E.; Mueller, C.R.,
Inversion of low-energy experimental He-He+ elastic differential scattering sections to the 2Σg+ and 2Σu+ potentials,
J. Chem. Phys., 1967, 46, 10, 3810-3817. [all data]
Gupta and Matsen, 1967
Gupta, B.K.; Matsen, F.A.,
Potential curves for the X2Σ2+ and the lowest 2Σg+ states of the helium molecule ion,
J. Chem. Phys., 1967, 47, 4860-4863. [all data]
Ginter and Ginter, 1968
Ginter, M.L.; Ginter, D.S.,
Spectrum and structure of the He2 molecule. V. Characterization of the triplet states associated with the UAO's 6-17pπ and 7-12pσ,
J. Chem. Phys., 1968, 48, 2284. [all data]
Ginter and Battino, 1970
Ginter, M.L.; Battino, R.,
Potential-energy curves for the He2 molecule,
J. Chem. Phys., 1970, 52, 4469. [all data]
Ginter and Brown, 1972
Ginter, M.L.; Brown, C.M.,
Dissociation energies of X2Σu+ (HE2+) and A1Σu+ (He2),
J. Chem. Phys., 1972, 56, 672. [all data]
Bardsley, 1971
Bardsley, J.N.,
Potential Curves for He2+ and Li2+,
Phys. Rev. A: Gen. Phys., 1971, 3, 4, 1317-1321. [all data]
Liu, 1971
Liu, B.,
Dissociation energies of He2+(X2Σu+) and He2(A1Σu+),
Phys. Rev. Lett., 1971, 27, 1251. [all data]
Weise, Mittmann, et al., 1971
Weise, H.-P.; Mittmann, H.-U.; Ding, A.; Henglein, A.,
Streuung von Ionen. II. Regenbogeneffekt bei der elastichen Streuung von Protonen an Helium, Neon, Krypton, Xenon und von He+ an Helium,
Z. Naturforsch. A, 1971, 26, 1122. [all data]
Fraga and Ransil, 1962
Fraga, S.; Ransil, B.J.,
Studies in molecular structure. VIII. He2++ in the single- and many-configuration LCAO MO SCF approximation,
J. Chem. Phys., 1962, 37, 5, 1112-1119. [all data]
Conroy and Bruner, 1967
Conroy, H.; Bruner, B.L.,
Molecular Schrodinger equation. VI. Results for H3 and other simple systems,
J. Chem. Phys., 1967, 47, 3, 921-930. [all data]
Go To: Top, Constants of diatomic molecules, References
Copyright for NIST Standard Reference Data is governed by the Standard Reference Data Act.
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Standard Reference Data Program |
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1.1 Introduction:
Why do we need pointers? What is its application?
Consider that you wish to go to a place and you do not know where that place is. Assume that there are only sign boards to help you.
Pointers are like sign boards which show where the values inside a particular address is present.
1.2 Pointers:
- allow us to access a variable that is defined outside the function (you’ve already studied what functions are)
- can be used to pass information back and forth between a function and its reference point.
- easy to handle data tables (tabular data)
- Reduce the length and complexity of a program
- Increase the execution speed (How? We’ll analyze in the later part)
Pointer - Definition
A pointer is a variable that stores the address of another variable (A variable is a location in memory.)
In the above example x is a variable and y is a pointer.
1.3 The & and * Operators
Consider the declaration: int x = 4;
This declaration tells the C compiler to: a.Reserve space in memory to hold the integer value b.Associate the name i with this memory location c.Store the value 3 at this location
i -> location name 3 ->value at the location 5748 -> Store the value 3 at this location.
Note: Address need not be always 5748. It can be any integral value.
Let us consider a program:
#code
Output * Address of i = 5748 * Value of i = 3 * Value of i = 3 Note :-There is a difference between &i and i in the printf() statement. * The * operator or the pointer operator also called as ‘value at address’ operator, returns the value stored at a particular address. * * is also called indirection operator ### 1.4 More about variables and pointers Consider the statement int xyz = 50;
This statement instructs the compiler to allocate a location for the integer variable xyz, and put the value 50 in that location.
Suppose that the address location chosen is 1380. xyz -> variable 50 -> value 1380 -> address The following points are noteworthy: * During execution of the program, the system always associates the name xyz with the address 1380. * The value 50 can be accessed by using either the name xyz or the address 1380. * Since memory addresses are simply numbers, they can be assigned to some variables which can be stored in memory. * Such variables that hold memory addresses are called pointers. * Since a pointer is a variable, its value is also stored in some memory location.
Suppose we assign the address of xyz to a variable p, p is said to point to the variable xyz. p = &xyz; variable value address xyz 50 1380 p 1380 2525
1.5 Address vs Values
image to be added
Note:- * Each memory cell has an address associated with it. * Each cell also stores some value. * Don’t get confused - the address referring to a memory location and the value stored in that location mean different.
image to added
- Here x is the variable name whose address is 1024 and stores the value 32 in it. **Note:-
- A pointer is just a C variable whose value is the address of another variable!
- After declaring a pointer: int *ptr;
- ptr doesn’t actually point to anything yet.
- We can either: 1. make it point to something that already exists, or 2. allocate room in memory for something new that it will point to… (next time).
- The next diagrammatic representation should make it very clear about basics of a pointer:
image to be added
Note:- * Declaring a pointer just allocates space to hold the pointer - it does not allocate something to be pointed to! * Local variables in C are not always initialized, they may contain anything.
Example image to be added
1.6 Accessing the address of a variable
The address of a variable can be determined using the ‘&’ operator. The operator ‘&’ immediately preceding a variable returns the address of the variable. Example p = &xyz; The address of xyz (1380) is assigned to p.
The ‘&’ operator can be used only with a simple variable or an array element. &distance &x[0] &x[i-2] Note:- The following usage of pointers is illegal * &235 - Pointing at constant * int arr[20]; &arr; - Pointing at array name. * &(a+b) - Pointing at expressions.
**Lets look at a sample programming example:-
Sample Output: 10 is stored in location<PHONE_NUMBER> 2.500000 is stored in location<PHONE_NUMBER> 12.360000 is stored in location<PHONE_NUMBER> 12345.660000 is stored in location<PHONE_NUMBER> A is stored in location<PHONE_NUMBER>
1.7 Pointer Declaration
Pointer variales must be declared before we use them. General form: data_type pointer_name; Three things are specified in te above declaration:** * The asterisk () tells that the variable pointer_name is a pointer variable. * pointer_name needs a memory location. * pointer_name points to a variable of type data_type. **Example
This is called pointer initialization
Important Points to remember
image to be added
Assigning an absolute address to a pointer variable is prohibited. int count; : count = 1268; / This is invalid */
1.8 Accessing a variable through its pointer
Once a pointer has been assigned the address of a variable, the value of the variable can be accessed using the indirection operator (*).
image to be added
Example
The highlighted statements are in the program are equivalent
Output a = 40 b = 40
Programming Example 2
Assumptions * Address of x:<PHONE_NUMBER> * Address of y:<PHONE_NUMBER> * Address of ptr:<PHONE_NUMBER>
Output 10 is stored in location<PHONE_NUMBER> 10 is stored in location<PHONE_NUMBER> 10 is stored in location<PHONE_NUMBER> 10 is stored in location<PHONE_NUMBER><PHONE_NUMBER> is stored in location<PHONE_NUMBER> 10 is stored in location<PHONE_NUMBER> Now x = 25
Pointer Expressions Like other variables, pointer variables can be used in expressions. If p1 and p2 are two pointers, the following statements are valid: sum = p1 + p2;** **prod = *p1 * *p2;** **prod = (p1) * (p2);** ** *p1 = *p1 + 2;** **x = *p1/p2 + 5;
1.9 Pointer Expressions which are allowed in C:
- Add an integer to a pointer.
- Subtract an integer from a pointer.
- Subtract one pointer from another (related). Note:-
- If p1 and p2 are both pointers to the same array, then p2–p1 gives the number of elements between p1 and p2.
Pointer Expressions which are not allowed in C * Addition of two pointers. 1. p1 = p1 + p2; * Multiplying / dividing a pointer in an expression. 2. p1 = p2 / 5; 3. p1 = p1 - p2 * 10;
1.10 Scale Factor
We have seen that an integer variable can be added to or subtracted from a pointer variable.
Consider,
In reality, it is not the integer value which is added or subtracted, but rather the scale factor times the value.
image to be added
If p1 is an integer pointer, then p1++ will increment the value of p1 by 4.
Note:- * The exact scale factor may vary from one machine to another. * The scale factor can be found out using the sizeof() function. * Syntax:
Programming Example
Output Number of bytes occupied by int is 4 Number of bytes occupied by float is 4 Number of bytes occupied by double is 8 Number of bytes occupied by char is 1
1.11 Passing pointers as parameters for a functions
The following points are note-worthy.
* Pointers are often passed to a function as arguments.
* Passing pointers allows data items within the calling program to be accessed by the function, altered, and then returned to the calling program in altered form (Call by reference or address or location).
* Normally, arguments are passed to a function by
** call by value - Example of swapping two numbers:**
Output a=5 b=20
Call bt reference - Example of swapping two numbers:
Output a=20 b=5
Note:-Refer to Functions Chapter for the differences between call by value and call by reference
1.2 Pointers and Arrays
When an array is declared:
* The compiler allocates a base address and sufficient amount of storage to contain all the elements of the array in contiguous memory locations.
* The
image to be added
Both x and &x[0] have the value 2500.
p = x; and p = &x[0]; are equivalent.
We can access successive values of x by using p++ or p—to move from one element to another.
Relationship between p and x: p = &x[0] = 2500 p+1 = &x[1] = 2504 p+2 = &x[2] = 2508 p+3 = &x[3] = 2512 p+4 = &x[4] = 2516
** *(p+i) gives the value of x[i]
Programming Example - Function to find average
Points to be noted:
An array name is an address can be subscripted.
* Pointers as well as arrays can be subscripted.
* A pointer variable can take different addresses as values.
* An array name is an address, or pointer, that is fixed.
* It is a
is incorrect Array size n; want to access from 0 to n-1, so you should use counter AND utilize a constant for declaration & incr
Wrong (Not an error!!)
Right
Why?
Points to note: * An array in C does not know its own length, & bounds not checked! * We can accidentally access off the end of an array. * We must pass the array and its size to a procedure which is going to traverse it. * Segmentation faults and bus errors (These are very difficult to find)
An array parameter can be declared as an array or a pointer; an array argument can be passed as a pointer.
Note:- int a[20], i, *p; * The expression a[i] is equivalent to *(a+i) * p[i] is equivalent to *(p+i) * When an array is declared the compiler allocates a sufficient amount of contiguous space in memory. The base address of the array is the address of a[0]. * Suppose the system assigns 300 as the base address of a. a[0], a[1], …,a[19] are allocated 300, 304, …, 376.
Consider #define N 20 int a[2N], i, *p, sum; * p = a; is equivalent to p = *(a+0); * p is assigned 300. * Pointer arithmetic provides an alternative to array indexing. * p=a+1; is equivalent to p=&a[1]; (p is assigned 304)
All the above information are equivalent
Note:- * int a[N]; * a is a constant pointer. * a=p; ++a; a+=2 is illegal
1.13 Pointer Arithmetic and element size
*double *p, *q;** The expression p+1 yields the correct machine address for the next variable of that type. Other valid pointer expressions: * p+i * ++p * p+=i * p-q / No of array elements between p and q */
Note:-
- Since a pointer is just a mem address, we can add to it to traverse an array.
- p+1 returns a ptr to the next array element.
image to be added
Note:- * C takes care of it: In reality, p+1 doesn’t add 1 to the memory address, it adds the size of the array element. * We can use pointer arithmetic to “walk” through memory: * C automatically adjusts the pointer by the right amount each time i.e., 1 byte for a char, 4 bytes for an int, etc.)
Important note C knows the size of the thing a pointer points to – every addition or subtraction moves that many bytes. So the following are equivalent:
**Array size n; want to access from 0 to n-1 test for exit by comparing to address one element past the array
int ar[10], p, *q, sum = 0; … p = ar; q = &(ar[10]); while (p != q) / sum = sum + *p; p = p + 1; */ sum += *p++;
Is this legal?** C defines that one element past end of array must be a valid address, i.e., not cause an bus error or address error
1.14 Pointers and Structures
(Please go revise Structures (Previous chapter) before you come to this lesson)
- You may recall that the name of an array stands for the address of its 0th element.
- This is also true for the names of arrays of structure variables.
Consider the declaration
Note:- * The name class represents the address of the 0th element of the structure array. * ptr is a pointer to data objects of the type struct stud. * The assignment ptr = class; will assign the address of class[0] to ptr. * When the pointer ptr is incremented by one (ptr++) : * The value of ptr is actually increased by sizeof(stud). * It is made to point to the next record. Once ptr points to a structure variable, the members can be accessed as: ptr –> roll; ptr –> dept_code; ptr –> cgpa; The symbol “–>” is called the arrow operator.
Very Important points * When using structure pointers, we should take care of operator precedence. * Member operator “.” has higher precedence than “”. * ptr –> roll and (ptr).roll mean the same thing. * *ptr.roll will lead to error. * The operator “–>” enjoys the highest priority among operators. * ++ptr –> roll will increment roll, not ptr. * (++ptr) –> roll will do the intended thing.
- Structure is a group of data members irrespective of their type.
- Using structure you can relate one variable of one type to other.
- Different types of variables can stored under one name, so if you want to store information like name, address , phone number you can use structures and can store all this for different persons.
Syntax:
struct tag t1;
-
struct is a keyword, so write it as it is.
-
tag can be replaced by any name you want structure to have.
-
member 1, member 2 are data members which can be of same or different data type.
-
Data members include pointers, arrays as well.
-
t1 here is structure variable.
-
struct tag is new data type of t1.
We can define structure variable in following way


A tool to send XLM to multiple recipients in a single transaction from an Interstellar multisig account.
TestNet
MainNet


All Proximity links are binary (they connect exactly two objects)
and directional. Links are specified by
LINK
elements, all of which must be
included in a single LINKS
element. The LINK
element is
empty; its data is included in three required attributes, described
below. Object IDs must correspond to ID numbers specified in the
OBJECT
elements.
<LINKS>
Attributes None.
Children
LINK |
zero or more | The data file includes one LINK
element for each link in the database.
|
Content Model
(LINK*)
Example
See
LINK
.
<LINK>
Attributes
ID |
required | ID values must be unique non-negative integers and are typically sequential numbers. |
O1-ID |
required | The ID of the start object for this link |
O2-ID |
required | The ID of the end object for this link |
Children None.
Content Model
EMPTY
<LINKS> <LINK ID="1" O1-ID="1" O2-ID="2"/> <LINK ID="2" O1-ID="2" O2-ID="1"/> <LINK ID="3" O1-ID="2" O2-ID="3"/> <LINK ID="4" O1-ID="1" O2-ID="4"/> <LINK ID="5" O1-ID="2" O2-ID="4"/> <LINK ID="6" O1-ID="3" O2-ID="5"/> </LINKS>


A signal emitted when the widget is disposed.
Set the id of the widget's DOM node.
Test whether the widget's node is attached to the DOM.
Test whether the widget has been disposed.
Test whether the widget is explicitly hidden.
Test whether the widget is visible.
A widget is visible when it is attached to the DOM, is not explicitly hidden, and has no explicitly hidden ancestors.
Set the layout for the widget.
The layout is single-use only. It cannot be changed after the first assignment.
The layout is disposed automatically when the widget is disposed.
Get the DOM node owned by the widget.
Set the parent of the widget.
Children are typically added to a widget by using a layout, which means user code will not normally set the parent widget directly.
The widget will be automatically removed from its old parent.
This is a no-op if there is no effective parent change.
The title object for the widget.
The title object is used by some container widgets when displaying the widget alongside some title, such as a tab panel or side bar.
Since not all widgets will use the title, it is created on demand.
The owner
property of the title is set to this widget.
Post an 'activate-request'
message to the widget.
This is a simple convenience method for posting the message.
Add a class name to the widget's DOM node.
The class name to add to the node.
If the class name is already added to the node, this is a no-op.
The class name must not contain whitespace.
Create an iterator over the widget's children.
A new iterator over the children of the widget.
The widget must have a populated layout in order to have children.
If a layout is not installed, the returned iterator will be empty.
Clear the given widget flag.
This will not typically be called directly by user code.
Send a 'close-request'
message to the widget.
This is a simple convenience method for sending the message.
Test whether a widget is a descendant of this widget.
The descendant widget of interest.
true
if the widget is a descendant, false
otherwise.
Post a 'fit-request'
message to the widget.
This is a simple convenience method for posting the message.
Test whether the widget's DOM node has the given class name.
The class name of interest.
true
if the node has the class, false
otherwise.
Hide the widget and make it hidden to its parent widget.
This causes the isHidden property to be true
.
If the widget is explicitly hidden, this is a no-op.
Invoke the message processing routine of the widget's layout.
The message to dispatch to the layout.
This is a no-op if the widget does not have a layout.
This will not typically be called directly by user code.
A message handler invoked on an 'activate-request'
message.
The default implementation of this handler is a no-op.
A message handler invoked on an 'after-hide'
message.
The default implementation of this handler is a no-op.
A message handler invoked on an 'after-show'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'before-attach'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'before-detach'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'before-hide'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'before-show'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'child-added'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'child-removed'
message.
The default implementation of this handler is a no-op.
A message handler invoked on a 'close-request'
message.
The default implementation unparents or detaches the widget.
A message handler invoked on a 'fit-request'
message.
The default implementation of this handler is a no-op.
Process a message sent to the widget.
The message sent to the widget.
Subclasses may reimplement this method as needed.
Remove a class name from the widget's DOM node.
The class name to remove from the node.
If the class name is not yet added to the node, this is a no-op.
The class name must not contain whitespace.
Set the given widget flag.
This will not typically be called directly by user code.
Show or hide the widget according to a boolean value.
true
to hide the widget, or false
to show it.
This is a convenience method for hide()
and show()
.
Show the widget and make it visible to its parent widget.
This causes the isHidden property to be false
.
If the widget is not explicitly hidden, this is a no-op.
Test whether the given widget flag is set.
This will not typically be called directly by user code.
Toggle a class name on the widget's DOM node.
The class name to toggle on the node.
Whether to force add the class (true
) or force
remove the class (false
). If not provided, the presence of
the class will be toggled from its current state.
true
if the class is now present, false
otherwise.
The class name must not contain whitespace.
Post an 'update-request'
message to the widget.
This is a simple convenience method for posting the message.
Generated using TypeDoc
The dataset for the widget's DOM node.


|
Asylo
|
Defines a nonce-generator interface. More...
#include <nonce_generator.h>
Public Member Functions | |
| NonceGenerator ()=default | |
| virtual | ~NonceGenerator ()=default |
| virtual Status | NextNonce (const std::vector< uint8_t > &key_id, UnsafeBytes< Size > *nonce)=0 |
| Generates the next nonce. More... | |
| virtual bool | uses_key_id () |
Indicates whether nonce generator utilizes the key_id input of the NextNonce() method to maintain key-id-specific nonce state. More... | |
Static Public Member Functions | |
| static constexpr size_t | nonce_size () |
| Gets the size of the nonces generated by this nonce generator. More... | |
Defines a nonce-generator interface.
The template parameter Size
determines the size of the nonces produced by this generator.
|
default |
|
virtualdefault |
|
pure virtual |
Generates the next nonce.
Generates the next nonce and writes it to nonce
. The nonce generator may optionally use the key_id
parameter to select a key_id
-specific nonce. There is, however, no guarantee that the nonce-generator implementation will handle the key_id
input as a sensitive secret. Consequently, users of the nonce-generator interface must never pass sensitive keys directly as key identifiers. Instead, a key_id
must be generated from key using a one-way hash function.
| key_id | Key identifier of the key that will be used with the nonce. | |
| [out] | nonce | The generated nonce. |
|
inlinestatic |
Gets the size of the nonces generated by this nonce generator.
|
inlinevirtual |
Indicates whether nonce generator utilizes the key_id
input of the NextNonce() method to maintain key-id-specific nonce state.
key_id
input of the NextNonce() method to maintain key-id-specific nonce state.


In 1999 Brad Pitt lit up the world with massively successful “Fight Club,” in which he displays a physic that is both muscular and lean. For the last 20 years, celebrities and regular people alike have duplicated the extremely effective tactics that Brad Pitt used when preparing for this role. During this time Brad Pitt with at the peak of his physical fitness at a level that he has been unable to duplicate since. In fact, one reason that Brad Pitt got so much attention for his physic is that it was a drastic change from his previous appearance. Here is how Brad Pitt became “Tyler Durden.” Training for the movie, Brad Pitt would spend each day focused on one body part. (This article is based off the information found here.)
On Monday, Brad Pitt would work on his chest routine which went as follows. First, he would do three sets of 25 pushups. Then, he would so three sets of 15 lifts on the bench press. Afterward, Brad do another three sets of fifteen reps on the inclined bench press. Following that he would three sets of fifteen cable curls. Finally, he would finish off the day with 15 to 20 minutes of intense cardio such as running on a treadmill.
On Tuesday, focussed primarily on his back routine. It should be known that Brad Pitt rested for about 60 seconds between sets, to allow his muscles to recover. First, Brad would do three sets of fifteen reps on the pull up bar. Then, he would proceed to doing three sets of fifteen reps on the seated rowing machine. Next, he would work on the lateral pull down bar, doing about three sets of fifteen reps before finishing there. Afterward he would do three sets of fifteen reps on T-Bar Rowing. Finally, he would finish off the day with 15 to 20 minutes of intense cardio such as running on a treadmill. At this point you can guess that Brad liked finishing the day with a run and doing exercises in three sets of 15 repetitions.
On Wednesday, Mr. Pitt would spend the day working on his shoulders. Brad would begin with three sets of fifteen reps of Military Press lifting. He would then transition to three sets of fifteen reps of the Arnold Press routine, modeled after Arnold Schwarzenegger. Brad then proceeded to doing lateral raises in three sets of fifteen reps. He then did three sets of fifteen reps of Front Raises. He then finished he workout with his classic 15 to 20 minutes of intense cardio such as running on a treadmill.
On Thursday, Brad Pitt worked on the most important part of the fight club body, the arms. He started his day with three sets of fifteen reps of bicep curls. He then transition to the very different workout of three sets of fifteen reps of cable curls. From there, Brad would do three sets of fifteen reps of Hammer curls. Mr. Pitt then did Tricep push downs in three sets of fifteen reps. Finally, he would finish off the day with 15 to 20 minutes of intense cardio such as running on a treadmill.
The Friday workout is incredibly straightforward: an hour on the treadmill at 75% maximum heart rate. This time the 15 minutes of cardio is the only part of the routine.
Brad Pitt had a difficult time building muscle for the role of “Tyler Durden.” Due to this he decided to focus on one part of the body each day. In conclusion, this workout is designed for people who have difficulty building muscle. During this time Brad Pitt with at the peak of his physical fitness at a level that he has been unable to duplicate since. In fact, one reason that Brad Pitt got so much attention for his physic is that it was a drastic change from his previous appearance.


Combining of 12 indicators*, Bitcoin Market Analysis Index (B-Index) has been designed for the 0-100 value range.


Waste collection is the collection of solid waste from point of production (residential, industrial commercial, institutional) to the point of treatment or disposal. Municipal solid waste is collected in several ways:
There are certain wastes / garbage items are kept aside to be sold to Kabadiwala or the Person who Buy old items. These can newspaper, used bottles, magazines, carry bags, old books, Oil cans, Glass, Paper Etc. Waste can be segregated:
Hazardous waste transporters are individuals or entities that move hazardous waste from one site to another by highway, rail, water, or air. Hazardous waste transporters play an integral role in the hazardous waste management system by delivering hazardous waste from its point of generation to ultimate destination. This includes transporting hazardous waste from a generator's site to a facility that can recycle, treat, store or dispose of the waste. It can also include transporting treated hazardous waste to a site for further treatment or disposal.
It is used to dispose of solid, liquid and gaseous waste. It is recognized as a practical method of disposing of certain hazardous waste materials (such as biological medical waste). Incineration is a controversial method of waste disposal, due to issues such as emission of gaseous pollutants.


An ini format parser and serializer for node.
Sections are treated as nested objects. Items before the first heading are saved on the object directly.
Usage
Consider an ini-file config.ini
that looks like this:
; this comment is being ignored
scope = global
[database]
user = dbuser
password = dbpassword
database = use_this_database
[paths.default]
datadir = /var/lib/data
array[] = first value
array[] = second value
array[] = third value
You can read, manipulate and write the ini-file like so:
var fs = require('fs')
, ini = require('ini')
var config = ini.parse(fs.readFileSync('./config.ini', 'utf-8'))
config.scope = 'local'
config.database.database = 'use_another_database'
config.paths.default.tmpdir = '/tmp'
delete config.paths.default.datadir
config.paths.default.array.push('fourth value')
fs.writeFileSync('./config_modified.ini', ini.stringify(config, { section: 'section' }))
This will result in a file called config_modified.ini
being written
to the filesystem with the following content:
[section]
scope=local
[section.database]
user=dbuser
password=dbpassword
database=use_another_database
[section.paths.default]
tmpdir=/tmp
array[]=first value
array[]=second value
array[]=third value
array[]=fourth value
API
decode(inistring)
Decode the ini-style formatted inistring
into a nested object.
parse(inistring)
Alias for decode(inistring)
encode(object, [options])
Encode the object object
into an ini-style formatted string. If the
optional parameter section
is given, then all top-level properties
of the object are put into this section and the section
-string is
prepended to all sub-sections, see the usage example above.
The options
object may contain the following:
section
A string which will be the firstsection
in the encoded ini data. Defaults to none.whitespace
Boolean to specify whether to put whitespace around the=
character. By default, whitespace is omitted, to be friendly to some persnickety old parsers that don't tolerate it well. But some find that it's more human-readable and pretty with the whitespace.
For backwards compatibility reasons, if a string
options is passed
in, then it is assumed to be the section
value.
stringify(object, [options])
Alias for encode(object, [options])
safe(val)
Escapes the string val
such that it is safe to be used as a key or
value in an ini-file. Basically escapes quotes. For example
ini.safe('"unsafe string"')
would result in
"\"unsafe string\""
unsafe(val)
Unescapes the string val


Documentation
GSAn is a new alternative to gene set analysis exploiting the semantic of concepts in the Gene Ontology (GO). Combining data mining and combinatorial algorithms, GSAn provides a reduced and synthetic number of GO terms resuming the biological role of the gene set input. In the 1st version, GSAn includes the three ontologies of GO: biological process (BP), molecular function (MF) and cellular component (CC). The sections of interest are:
Summary
1. Start Analysis
2. Visualization
3. Results
4. Formulas
1. Start Analysis
NOTE: If the organism is uploaded, users have to verify that the proteins are in the first column and the genes in the second column. In that case, you can use other ids matching with the proteins or genes.
Advanced parameters
2. Visualization
3. Results
Understanding the gauge figures
Understanding the synthetic annotation
Bubble chart
We display results according to a visualization combining two classes: node-link and space-filling visualization. These visualizations are dynamic and users can zoom to get a deeper information. The complete information about this visualization can be found in Ayllon-Benitez et al.
4. Formulas
Information content
The information content, or IC, is a score associated with the terms, explaining how much they are informative. The bigger the IC is, the more specific the term is. Two kinds of IC are used in GSAn: intrinsic and extrinsic. The intrinsic IC uses only information available within the ontology structure and the extrinsic IC uses external information. In most cases, the IC of a term is computed from the probability of the term as follows:Resnik or extrinsic
In GSAn, only one kind of extrinsic IC is used. The used IC was proposed by Resnik in 1995. This IC uses the frequency of occurrence of a word in a given document. In the Gene Ontology, the frequency of occurrence (number of genes) is computed according to the GOA file of each organism. This IC is applied with some semantic similarity measures (see formulas below). Thus, the extrinsic IC is computed as follows:Note: a term includes all the genes and proteins associated with it and its descendants using the true path. The true path means that the information provided by a term is inherited by its descendants, thus if a gene is associated with a term that is descendant of another term, then this gene is also associated with the ancestor term.
Mazandu
The intrinsic IC used in GSAn was proposed by Mazandu and Mulder taking into account the position of the terms in the graph. First, the probability is computed exponentially, from the root term to the leaf terms. Each term depends on the probability of its parents divided by the children of the parent. Thus, the IC provided by Mazandu for a term t is the minus logarithm of the probability.Semantic Similarity
Resnik
That semantic similarity measure was proposed by Resnik at the same time than the IC, where the similarity between two terms corresponds to the IC of their most informative common ancestors (or currently called the MICA). The equation is as follow and we normalized the measures by dividing them by the IC max:Lin
To improve the results of Resnik's similarity, Lin proposed another normalization by dividing twice the IC of MICA by the addition of IC between the compared terms.AIC
The aggregate information content or AIC is an alternative measure proposed by Song et al. combining the semantic value of Wang (not used here) and the Resnik IC. The semantic value and the semantic weight are computed as follows:The semantic similarity is according to the similarity provided by Wang et al., but using the SV and SW shown above as follows:
NUnivers
Using the IC proposed by Mazandu and Mulder., the similarity of NUnivers between two terms computes the most informative content ancestor divided by the maximal IC between the compared terms.Distance Function
The distance function (DF) (used by Quesada-Martinez et al.) combines the edge semantic similarity and node based. The measure uses the Jaccard similarity of the union and intersection of the ancestor between the terms to compare.Gene set similarity
GS²
This gene set similarity computes a similarity by taking into account the annotation terms and their ancestors of all genes involved in a particular gene set. The formula that we applied is as follows (Ruths et al.):where G is the gene set, TGO(x) is the list of GO terms associated with a given gene x, ancestors(y) is the list of ancestor terms of the GO term y in addition to y itself, rankG−x(z) is the number of genes in the set except for the gene x that is associated with the GO term z. When the value is 0, all genes have distinct annotation, and when the value is 1, all genes have the same annotation. A low similarity value (under 0.5) can result in a unprecise GSAn annotation.


Thank you for your patience.


18
1 Yahweh also said to Moses,
2 "Speak to the Israelite people and tell them that I, Yahweh, say this, 'I am Yahweh, your God.
3 After seeing how the Egyptians behaved, among whom you also lived, you must not do what they did. And you must not behave as the Canaanites live, into whose land I am taking you. You must avoid their practices.
4 You must obey all of my laws; you must do everything that I, Yahweh your God, am commanding you.
5 If you obey all my decrees and laws, you will continue to remain alive for a long time. I, Yahweh, am promising you this. Here are some of my laws.
6 Do not sleep with any of your close relatives.    They are her close relatives.  That is detestable.
23 No one, man or woman, should defile himself by sleeping with an animal. That is a perverse action.
24 Do not defile yourselves in any of these ways, because doing these things is how the people of the nations became unacceptable to me, the people groups that I will drive out as you advance into the land that I am giving you.
25 They even caused the land to become defiled, so I punished them for their sins, and it was as though the land had vomited out the people who lived there.
26 But you must all obey my laws and decrees. This includes both you people who were born here and the foreigners who live among you.
27 As for all those detestable things, before you came, the people who lived in this land did them, and they defiled the land.
28 So if you also defile the land, I will get rid of you as I got rid of the people of those nations that were here before you came.
29 You must not allow people who do any of those detestable things to associate with you, who are my people.
30 Obey all that I command you to do, and do not defile yourselves by following any of the disgusting habits of the people who were there before you came. I, Yahweh your God, am the one who is commanding these things.' "