THE CHILDREN OF HEAVEN
Reviewed by Harvey Karten, Ph.D. Miramax Films Director: Majid Majidi Writer: Majid Majidi Cast: Mohammad Amir Naji, Mir Farrokh Hashemian, Bahare Seddiqi
Some public schools in the U.S. are copying an idea started by the prep schools and now require students to wear uniforms to class. In that way, say the proponents, the youngsters will not be trying to one-up each other, implying "My dad makes more than yours." What they neglected to require was uniform footwear, and so the inevitable resulted. Kids are competing over their running shoes. Nikes are "in" one year, Adidas the next. With sneakers now running upwards of $150 a pair, it's no wonder that some pupils, especially those living in poorer neighborhoods, are using illegal means to acquire the money in order to buy status, if not from head to toe than at least from toe to ankle.
In Iran, on the other hand, the poorer kids don't even think of choosing their shoes for prestige. They're just happy they have something to wear to school at all. "The Children of Heaven," a gossamer work by the wonderful writer-director Majid Majidi, an adorable nine-year-old named Ali must not only settle for a pair of ratty old white sneakers in order to attend class at all. He actually has to share them with his younger sister, Zahra; to meet her when she finishes her morning classes and to quickly change footwear with her so that he can get to his school for his later session. Why doesn't she have her own? Unfortunately, when Ali took them to the local shoemaker for repair, he left them for just a minute or so outside the vegetable merchant's shop. When he returned, they had disappeared. Ali must spend a good portion of this story trying to replace them not only because sharing the pair's only shoes is an arduous task but because Zahra threatens to report the loss to her mom and dad, and that could lead to a beating.
From this unlikely premise, Majidi etches out a charming tale, a fable, really, that painlessly instructs us westerners in some of the customs of his Middle Eastern land while at the same time obliquely criticizing the vast gulf between Tehran's many poor and its highly privileged wealthy class. Cinematographer Parviz Malekezade's camera focuses in on one of Tehran's more ragged neighborhoods, a labyrinth of rundown streets and tattered markets which is home to nine- year-old Ali, his seven-year-old sister Zahra, their crying baby brother, their ailing mother and overworked father. The family are five months behind in their rent and regularly threatened by the landlord. The vegetable man guides Ali to the cheaper potatoes on the floor while refusing to allow another day of credit. At some point Ali's father, portrayed at first as a cranky and craggy fellow who seems uninterested in his children but then as a caring family patriarch, takes the boy "uptown" on the family's threadbare bicycle where they offer their gardening services to the rich who are protected behind high walls and fierce, barking dogs.
The narrative is simple enough, but Majidi mines the film for sights rich in symbolism and local color. A blind beggar hugs his little girl when she arrives home and buys her the best pair of shoes he can afford. The schoolgirls and women are clothed to a person in their traditional religious headdress but are conspicuously absent from services in the mosque as they are from important cultural institutions throughout the land. Teachers in the shabby elementary school do what they can with the limited supplies they can dole out, the principals lecturing the kids on the importance of cleanliness while the instructors administer written tests to shyly obedient children. The men on the faculty run the gamut from a bearded, serious fellow to a rotund coach who could easily fit into the athletic staff of an American high school.
The two youngsters are portrayed as the titled children of heaven. Yet they are not saintly or especially goody two- shoes but rather harbor envious sentiment toward those who have more than they, if only a simple pair of loafers or a clean set of sneakers.
The acting is tops all around. Happily, "The Children of Heaven" is not a tearjerker nor does it conclude on a sticky utopian note. While a Hollywood ending would have demanded that Ali replace his sister's shoes as promised, Majidi's conclusion would have likely brought a broad smile to the face of O. Henry.
Rated PG. Running Time: 88 minutes. (C) 1998 Harvey Karten
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At a distance of 30 km from Kolar and 98.5 km from Bangalore City Junction, Avani is a small village in Kolar district of Karnataka. Avani is renowned for housing varied ancient temples. It is also a popular location for rock climbing.
It is also an important historical sites and a popular sightseeing spot around Bangalore. The village of Avani received a prominent place mainly due to the legends associated with it. According to mythology, goddess Sita gave birth to her twin children Lava-Kusha at Avani.
It is also said that the war between Lord Rama and his sons Lava and Kusha took place in this village. As per the local belief, sage Valmiki, the author of the epic Ramayana was residing here during the period of Ramayana.
Visiting Timings:-7AM TO 9:30PM
At a distance of 2 km from Magadi Bus station and 44.5 km from Bangalore City Junction, The Ranganatha Swamy Temple located in Magadi is an ancient temple and a protected monument. This is one of the popular pilgrimage sites to visit around Bangalore.
The Ranganathaswamy temple is situated on a hill called Tirumale. There is a vast Prakara with a gateway having tall Rajagopura. The sanctum of the Ranganatha temple was first consecrated in early 12th century by the Chola ruler and the temple has undergone renovations and expansion since. The beautiful gopuras were built by Vijayanagara emperor Krishnadevaraya in the 16th century and later renovated by King Jayachamaraja Wodeyar of Mysore.
There are structures inside the sanctum which were also built by the Cholas and later renovated. The temple dedicated to Lord Ranganatha is actually a standing image of Narayana about 3 ft tall in Vijayanagara style with Shankha, Chakra, Gada and Abhaya attributes in four hands.
Visiting Timings:-8:30AM TO 7:30PM
At a distance of 58 Kms from Bangalore towards Mysore, Channapatna is a small town famous for wooden toys. This place is also famous for door hangings, powder boxes and traditional jewellery.Fort of Jagadevaraya family built sometime during 16th century is also an interesting place to visit in Channapatna.
Timmapparaja Urs mansion, a three storied building made of brick and mortar and was home to Timmapparaja is also worth visiting. The building is a typical example of Hindu mansion from 19th century. Other places include Varadaraja temple, an ancient temple dedicated to Lord Vishnu. The idol was installed by Sri Ramanujacharya. Other temples that are worth visiting in Channapatna include Lakshminarayana and Nilakanteswara Temples.
Visiting Timings:-7:30AM TO 8:20PM
It is at a distance of 54 km from Bangalore City Railway Station, 6.5 km from Chikkaballapur, 9.5 km from Nandi Hills, Bhoga Nandeeshwara Temple situated in Nandi village is a grand temple dedicated to Lord Shiva. This temple is a great specimen of South Indian temple architecture. It is one of the best temples near Bangalore and also one of the best one day trip near Bangalore.
Originally built in 9th century by Nolamba dynasty, the temple received great contributions from the rulers of Ganga, Chola, Rashtrakuta, Hoysala & Vijayanagara dynasties. The temple boasts wonderful architecture and great sculptures.
The large temple complex has a vast open area in front of the wonderful gateway. The main enclosure has three shrines dedicate to Lord Shiva known as Bhoga Nandeeshwara, Arunachaleswara and Ardhanareewara (also known as Uma Maheshwara) along with several other shrines on the rear side of the temple.
Visiting Timings:-9AM TO 4:30PM
At a distance of 80 kms from Bangalore, Kolar is a small town which was once famous for gold mines. Kolar has several tourist attractions like Someshwara Temple & Kolaramma Temple. Anthargange is about 4 kms from Kolar. Kolar is one of the popular tourist places to visit around Bangalore.
Someshwara Temple is a beautiful temple built in 14th century during Vijayanagara rule. Dedicated to Lord Shiva, Someshwara Temple is famous for large temple tower built on a stone carved mahadwara. The temple has nice carvings on the pillars and large mahamandapa. There is also a stepped temple tank adjacent to the temple. The temple is located near Fort Area in Kolar.
Visiting Timings:-5:30AM TO 8PM
At a distance of 25 kms from Bangalore City Junction.
Visiting Timings:-9:30AM TO 6:30PM


Minify HTML
Minify HTML files online.
A set of online tools for those who know enough about web programming languages such as HTML, CSS and JavaScript, but are not very proficient in using automatic build tools to minify their files. These people, usually just need a kind of tool that allows them to paste certain data into a text area and then to click on a submit button to get the results quickly. For example, to minify CSS and JavaScript files.
This site contains a collection of online tools for text-based file minification, especially for files related to the web. Novice users who are new to web development and want to dive deeper into the discussion of web performance improvement might get suggestions for minimizing their web files such as to minify their CSS and JavaScript files. These tools are very suitable for beginners who want to solve that-kind-of problems.
Need to tidy your web files quickly?
The minify.js.org subdomain is a “free-on-condition” feature that has been provided by the owner of js.org domain. If one day, there are some unexpected things happen on this site, then the only person who is responsible for the chaos is me, Taufik Nurrohman and not the main owner of js.org domain.
Let me know if something unexpected happens or if you want to provide input for this site by publishing an issue.
Minify HTML files online.
Minify CSS files online.
Minify JavaScript files online.
Minify JSON files online.
I probably will keep statistics of your page visits on this site, but I’m not going to take and record the codes that you try to minify. Some data such as the checked state on every check-box and radio elements in the form are stored via the local storage feature on your device.
Do you have any tool to minify PHP code?
PHP code works on the server side so your clients will never download any PHP code from your server. Only the compiled results will be sent to the client. Minifying PHP code will not improve the performance of your site in any way.
I want to minify my PHP code so that I can save my web hosting space.
Okay, here it is.
Do you have any plan to use Bootstrap or Material Design framework to decorate this site?
No.
Your site has a terrible design.
Thank you.


{% extends "layout.html" %} {% block body %} {% include 'flash.html' %}
Enter two words or phrases and find out if they're anagrams.


This is to test the word-spacing property. If the following text is widely spaced, the test passes.
This is a test.
This is to test the word-spacing property. If the following text is overlapping, the test passes.


#include "INC\SWI2C.H"
#include "INC\LCD.h"
#include <stdlib.h>
#include <stdio.h>
Go to the source code of this file.
| void LCD_gotoxy |
( |
char |
x, |
|
|
char |
y |
|
) |
| |
Definition at line 64 of file LCD.c.
| void LCD_printb |
( |
char * |
lbuff | ) |
|
Definition at line 88 of file LCD.c.
93 if (lbuff[i] == 0x20)
return;
| void LCD_printf |
( |
const char * |
text | ) |
|
Definition at line 77 of file LCD.c.
| void LCD_printn |
( |
long |
lnum, |
|
|
char |
cnum, |
|
|
char |
dp, |
|
|
char |
x, |
|
|
char |
y |
|
) |
| |
Definition at line 100 of file LCD.c.
112 sprintf32(dbuff,
"%08X", lnum);
| void LCD_strobe |
( |
char |
lbyte | ) |
|
Definition at line 8 of file LCD.c.
void i2c_write_byte(char dev_addr, char idata)
| void LCD_wbyte |
( |
char |
lbyte, |
|
|
char |
act |
|
) |
| |
Definition at line 20 of file LCD.c.
void LCD_strobe(char lbyte)
void i2c_write_byte(char dev_addr, char idata)


Inputs typically reside in forms but can appear in other places, like dialog boxes and search.
The following input types can be used with matInput directive:
In the next example we will show you how to add error messages and hints to input boxes.


Package edu.baylor.flarn.resources
Defines additional models and helper classes.
-
Class Summary Class Description AuthenticationRequest AuthenticationRequest
class defines the user login request.ConfirmUserRequest ConfirmUserRequest
class defines the user email confirmation after registration.DataInitializer DataInitializer
class populates the initial data for the dev environment.DataInitializerProd DataInitializerProd
class populates the initial data for the prod environment.ProblemSearchRequest ProblemSearchRequest
class defines different searching criteria for theProblem
model.ResponseBody ResponseBody
class defines a default API response that does not produce any explicit output.UpdatePasswordRequest UpdatePasswordRequest
class defines a request for updating password.UserRegistration UserRegistration
class defines the request for registering a new user.UserRoles UserTypeUpdateRequest UserTypeUpdateRequest
class defines a request to updateUserType
of a particular user.UserUniqueValidator UserUniqueValidator
class enforces an unique email validation logic for theUser
model.WsAuth WsAuth
class wraps the userId with authentication token for a websocket connection. -
Annotation Types Summary Annotation Type Description Unique Unique
class defines a custom annotation to be used to enforceUserUniqueValidator
for a filed.


Bootstrap-5 Cron expressions generator
This is a great and simple UI tool developed on javascript to specify cron entries based on Quartz cron templates.


Fashion trend in the world...
The world is economically its not that much established that we can afford fashion as our daily life. But I must say that No department of life as be it economic, cultural, religious or recreational has been free from the effect of this great transformation in progress. Every body wants to follow the latest trends of the new era.
It’s in human nature that he always wants change in life, like in basic change in our clothing’s.
Types of people who follow fashion
There are three types of people in the world
- Who follow fashion trends blindly
- Who follow fashion with there need
- Who don’t follow any trend at all


| HttpContextExtensions |
Extensions for HttpContext class. |
| TenantNameLocation |
Specifies where the tenant name is located. |
| TenantNameUrlRewriterRule |
Rewrite the Url by removing the tenant name from the begining of the path. |
| TenantResolverMiddleware |
A middleaware that resolves tenant of base on the request. |
| TenantResolverMiddlewareExtensions |
Extensions related to TenantResolverMiddleware. |
| TenantResolverNotifications |
Specifies events which TenantResolverMiddleware invokes to enable
developers control over tenant resolving. |
| TenantResolverOptions |
Options for a tenant resolver middleware. |


Super Street Battle: Street Racing RPG Game programmed using React, JavaScript, Node, Mongo DB, Express, React Bootstrap, AWS, Firebase Authentication
Porcelain: Review App for Public Restrooms programmed using Google Maps API, React, Express, Node.js, Sequelize, SQL Database, React BootStrap and Amazon Web Services (AWS)
A burger logger with MySQL, Node, Express, Handlebars and a homemade ORM
Train Schedule Time Board designed using Moment.js, Bootstrap, Vanilla Javacript
A Friend Finder App, is a full-stack dating app using node.js and express server routes
Materialize CSS, Disney Font and Vanilla Javascript for DOM Manipulation
Trivia Game programmed using HTML, CSS3, Vanilla JavaScript and Time
App designed using GIPHY API populating GIFs for Luxury Brands
Digital Marketing & Graphics
Recipe Search and Restaurant Search App, using Edamam API


|
| virtual unsigned int | send (const uint8_t *data, const unsigned int numBytes)=0 |
| | Blocking call to send X number of bytes from data over the radio. More...
|
| |
| virtual unsigned int | receive (uint8_t *data, const unsigned int maxNumBytes)=0 |
| | Blocking call to write up to maxNumBytes into data from the radio. More...
|
| |
| virtual bool | isAvailable ()=0 |
| | Returns true when there is data to read from the radio. More...
|
| |
◆ isAvailable()
| virtual bool GenericRadio::isAvailable |
( |
| ) |
|
|
pure virtual |
Returns true when there is data to read from the radio.
Implemented in ISM43340.
◆ receive()
| virtual unsigned int GenericRadio::receive |
( |
uint8_t * |
data, |
|
|
const unsigned int |
maxNumBytes |
|
) |
| |
|
pure virtual |
Blocking call to write up to maxNumBytes
into data
from the radio.
- Parameters
-
| data | raw array that will be filled with data that was sent over the radio |
| maxNumBytes | max number of bytes to write into data from the radio |
- Returns
- actual number of bytes written to data
- Note
- The radio may or may not keep the rest of the message in the buffer if the entire message is not read. It is undefined behavior based on the specific device
Implemented in ISM43340.
◆ send()
| virtual unsigned int GenericRadio::send |
( |
const uint8_t * |
data, |
|
|
const unsigned int |
numBytes |
|
) |
| |
|
pure virtual |
Blocking call to send X number of bytes from data
over the radio.
- Parameters
-
| data | raw array of data to send over the radio |
| numBytes | number of bytes in the array to send |
- Returns
- number of bytes sent
- Note
- It is assumed that
data
is at least X bytes long
Implemented in ISM43340.
The documentation for this class was generated from the following file:


Albums
{{album.name}}
{{album.artist.name}}
Artists
{{artist.name}}
Tracks
{{track.name}}
{{track.artists}}
Playlists
{{playlist.name}}
{{track.artists}}
Radio
{{radio.name}}
Menu
Actions
Login
Logout
Playlists
{{playlist.name}}
{{playlist.owner.display_name}}


FlightSurety
Administrator
Smart Contract
Open
Closs
Logic SmartContract
Authorize
Create airline
Fund 1st airline
Register and fund 2nd airline
Register and fund 3rd airline
Register and fund 4rd airline
Registration of fifth airlines requires multi-party consensus of 50% of registered airlines
Airline address
Airline name
Create Ballot
Registered airlines
Vote
Register
Buy insurance
Select the flight to insure
Flight
From
To
Depart Time
Arrival Time
$
ether
Buy
Flight Update
Select flight to update
Fetch
Claim insurance
Claim
Credit values
Unit
ether
$
ether
WithDraw


Squid's announcement feature
allows Squid administrators to find
nearby caches that might be interested in joining a cache hierarchy.
When you enable this directive, Squid periodically sends a small
announcement message to a central server. By default, the
announcement message contains five fields: The IP address and hostname that sent the announcement The Squid version The hostname Squid uses internally—either your hostname if
Squid can figure it out or the value of the
visible_hostname directive The value of the cache_mgr directive The date and time of the announcement
Setting announce_period to 0
disables the announcement feature. |
Syntax
|
announce_period time-specification
| |
Default
|
announce_period 0
| |
Example
|
announce_period 4 hours
| |
Related
|
announce_host,
announce_file,
announce_port
|
|


Across: 8. Identity adding Origin value (4) 9. Playmaker in clothing, right to go (6 4) 10. Hard treatment for colitis involving every aspect (8) 11. Afflicted by onset of fear, did not do at all well (6) 12. What this mob lacks, Abba then provides? (5 7) 14. Clear victory laughable with king gone (7) 16. We don't know what may sate Ray's need to destroy every article (7) 19. He bowled good length, securing new maiden (caught!) and designer Sara ultimately (5 7) 23.  Applaud a number? Here's one! (8) 25. Among thousands, four gain freedom of ruler (4 6) 26. Nasty judge lay out the odds (4) Down: 1. Stuff to make lamp turn 0-10 (5) 2. Happy with sweet little bottle (6) 3. Important ice article bizarrely ignoring ecstasy (8) 4. Nasty sore mother, superior, has second rate replaced by some calmer heads (7) 5. Start to build after losing time quietly returning what was built earlier (6) 6. Homage in robe is antiquated (8) 7. Previously took broken wheels away (9) 13. First step to treatment is taken after air support returned (9) 15. They're made big & real cold, see? (8) 17. Mark Yule differently, as Jewish sport (8) 18. Soak ring in ocean product (7) 20. Organisation backed races, an early lead taken (6) 21. China put ace off (6) 22. Covering exit while covering back of hall (5)


importance: 5
We have rabbit inheriting from animal.
rabbit
animal
If we call rabbit.eat(), which object receives the full property: animal or rabbit?
rabbit.eat()
full
let animal = { eat() { this.full = true; } }; let rabbit = { __proto__: animal }; rabbit.eat();


Program Detail
{% endblock %}
{% load humanize %}
{%block scorecard %}
{{agency_name}}-{{program_number}} {{title}}
{{desc|safe}}
{% block search %}{% endblock %}
Total Program Obligations*:
(grants and loans)
{% for y in program_totals %}
- {{y.0}}: ${{y.1|floatformat:0|intcomma}}
{% endfor %}
{{consistency|safe}}
{{timeliness|safe}}
{{completeness|safe}}
* Total program obligations reported in the Catalog of Federal Domestic Assistance
† No obligations reported in the Catalog of Federal Domestic Assistance
{% endblock %}


-
3. File server
Now we have a webserver, torrent server (which is downloading all your torrents to an attached hard drive), I have set up a file server to serve the torrent folder to my windows computers in the house. This means I can plug my laptop in the TV, browse to the...
-
2. Torrent server
So now all that your web server is up and running, and you have a Dynamic DNS name (if you chose to do that), here’s how I set up the torrent server on the pi (using transmission) credit goes to this website for helpful instructions. I also had a spare...
-
1. Webserver
So the first thing I did was use this very helpful guide to help setup my pi as a LAMP server. I didn’t follow the whole thing, just the bits I needed.So following is the basics..firstly install apache sudo apt-get install apache2 and then mysql sudo apt-get install mysql-server And...
-
Hi internets
Hi internetsI'm a beginner programmer and lover of all things tech, so 6 months ago I purchased a rpi with some cool ideas in my head. So I've started this blog so I can record my projects, get some ideas, and share mine with you!My first idea was to set...


If you have a question or concern please contact us.
 Our support staff will be with you as quickly as possible.


| Variables | ||
| BaseTag | static const | Base tags for parallel messaging. |
| curdir | static const | |
| DIFF_EPS | static const | tolerance level 0: \(10^{-8}\). |
| DIFF_EPS1 | static const | tolerance level 1: \(5\times 10^{-6}\). |
| DIFF_EPS2 | static const | tolerance level 2: \(10^{-4}\). |
| DIFF_EPS3 | static const | tolerance level 3: \(10^{-2}\). |
| IIDZpars | static const | IID normal parameter vector. |
| mymomlabels | static const | labels for MyMoments |
| SQRT_EPS | static const | \(\sqrt{\epsilon_m}\) \(10^{-8}\). |
| SSQ_TOLER | static const | Euclidean tolerance, \(10^{-12}\). |
| VZero | static const | 0 as a vector . |
| ZeroForSure | static const | used in transitions. |
| Functions | ||
| AV | ActualValue: Returns X->myAV() if it exists or CV(X). | |
| ColLogit | The Multinomial logit smoothing function (over columns). | |
| CV | Return the Current Value of a Quantity: access X.v, X, X() or X(arg). | |
| DeltaV | Row-Difference of a matrix. | |
| Dimensions | Return rows() and columns() as a row vector. | |
| DiscreteNormal | Return Nx1 vector of values corresponding to the 1/(N+1) percentiles of the normal distribution. | |
| DrawOne | Return index of a single draw from the multinomial distribution. | |
| Epanechnikov | Compute the Epanechnikov kernel matrix for a data matrix. | |
| FLogit | The standard logistic cumulative distribution. | |
| GaussianKernel | Compute the Gausian kernel matrix for a data matrix. | |
| HTopen | ||
| MyMoments | Print Column Moments. | |
| RowLogit | The Multinomial logit smoothing function (over rows). | |
| SameDims | Check that two objects have same rows and columns. | |
| SumToOne | Return the completed simplex of a vector or double. | |
| TypeCheck | Check that an object is of a required class, or one of a required class. | |
| vararray | Convert an array of strings into a space-separated string. | |
| varlist | Parse a string for variable names; return array of strings. | |
| Enumerations | ||
| AggregatorTypes | Tags for Types of vector-valued objective Aggregation. | |
| ConstraintTypes | Tags for Types of Constraints. | |
| ConvergenceResults | Code for solutions to Optimization and Non-Linear System solving. | |
| Names_for_Integers | Pseudonyms for -3, -2, …. | |
| NextTreatmentStates | Possible next treatment phases. | |
| NoiseLevels | Levels of output to produce while executing. | |
| NormalParams | Tags for parameter vectors of normal distribution. | |
| ParallelExecutionModes | Modes of Execution when executing in parallel. | |
| StateTypes | Codes for Type. |
| Public methods | ||
| Finalize | static | Finalize the CGI component of the output; Ox output appears below. |
| GetVar | static | Find and return the CGI key value |
| Initialize | static | Initialize the processing of CGI post data. |
| Parse | static | Parse and return the values of a HTML form. |
| ParseQ | static | Parse the query |
| Public fields | ||
| eq | inequalities. | |
| ineq | equalities. | |
| L | Merit value. | |
| Public methods | ||
| Vec |
| Public fields | ||
| actual | corresponding model vals. | |
| N | Number of different values | |
| vector of prob. | ||
| subv | subvector objected belongs to. | |
| vals | const | range(0,N-1) |
| Public methods | ||
| Discrete | Create a discrete quantity . | |
| GetN | ||
| virtual | ||
| SetActual | virtual | Initialize the actual values. |
| Track | virtual | |
| Update | virtual | The default Discrete Variable update does nothing. |
| Public fields | ||
| f | 1xM row vector of unique indices into nodes. | |
| nodes | const | Quantity object or points. |
| p | NxM matrix of weights. | |
| pts | N-array of matrices, either 2x1 or 2x2. first row are node indices, second is weight on the node. |
|
| Public methods | ||
| Approx | Map vector of values into current nodes. | |
| Discretized | Map a continuous outcome onto a set of discrete nodes. |
| Public methods | ||
| Equality | ||
| Public fields | ||
| J | Jacobian. | |
| L | const | array of equation labels |
| lam | current multiplier | |
| N | const | number of equations |
| rlabels | static const | lables for equation elements. |
| v | current value | |
| Public methods | ||
| Equations | Create a system of equations. | |
| norm | virtual | |
| penalty | virtual | |
| virtual |
| Public fields | ||
| C | const | J-array of Choleski of M[j]Sigma M[j]'. |
| CSET | ||
| hR | const | half-replication (anti-thetics). |
| iseed | static | initial seed. |
| J | const | dimensions on integration, number of feasible options. |
| L | 1xR upper bounds. | |
| M | const | J-array of delta matrices. |
| nu | JxR matrix of N(0,1) simulated values. | |
| pj | Pj. | |
| pk | incremental simulated prob. | |
| R | const | number of replications. |
| sigs | vector of standard deviations . | |
| SimJ | const | J-1. |
| u | 1xR uniform values. | |
| vj | Evj. | |
| Volume | static | output level |
| Public methods | ||
| GHK | Set constants for GHK. | |
| SetC | Update array of choice-specific Choleskie's | |
| SetSeed | static | |
| SimDP | Use GHK to simulate choice probabilities and Emaxes for a matrix of index values. | |
| SimProb | Use GHK to simulate state-contingent choice probability when U() includes additive N(0,Σ) errors. |
GQH::Initialize(8); println("E[x*x] = ", GQH::wght * sqr(GQH::nodes) ); // / M_SQRT2PI
| Public fields | ||
| nodes | static | the nodes or mantissa values xm |
| order | static | currrent order M |
| wght | static | corresponding weights ωm |
| Public methods | ||
| coef | static | Return the polynomial coefficients of Hn polynomial . |
| Initialize | static | Set the nodes and weights for Gauss-Hermite Quadrature. |
GQL::Initialize(8); println("E[x*x] = ", GQL::wght * sqr(GQL::nodes) );
| Public fields | ||
| nodes | static | the nodes or mantissa values xm |
| wght | static | corresponding weights ωm |
| Public methods | ||
| Initialize | static | Gauss-Laguerre nodes and weights. |
| Public methods | ||
| InEquality | ||
| Public fields | ||
| step | step length. | |
| V | v value . | |
| v | obj value. | |
| Public methods | ||
| Copy | virtual | |
| GetV | virtual | |
| LinePoint |
| Public fields | ||
| Dvar | const | |
| mix | mixture elements. | |
| sp | const | |
| W | weight matrix | |
| WF | free weights. | |
| Public methods | ||
| aggregate | virtual | aggregate blackbox objectives into a scalar value. |
| Public fields | ||
| block | 0 or pointer to param block. | |
| DoNotConstrain | Flag to ignore constraints. | |
| DoNotVary | Treat as Determined, for now. | |
| f | Current free value f. | |
| ival | const | Initial passed value. |
| NearFlat | static const | tolerance for too near flat part of transformation. |
| scale | Scaling value s. | |
| start | Value at start of iteration. | |
| Public methods | ||
| Decode | virtual | Default decoding: no scaling, no constraining. |
| Encode | virtual | Default encoding: no scaling, no constraining. |
| Menu | virtual | |
| Parameter | Create a new parameter. | |
| ReadCGI | virtual | |
| ReInitialize | Reset the parameter to its hard-coded values. | |
| Reset | Reset the starting value of a parameter. | |
| SetDoNotVary | virtual | Set the value of DoNotVary. |
| ToggleDoNotVary | virtual | Toggle the value of DoNotVary. |
cur
.
Algorithms use a point to store temporary values.
| Public fields | ||
| AggType | form of aggregation of vfunc() into func(). | |
| F | Free vector. | |
| G | Gradient | |
| H | Hessian | |
| J | Jacobian | |
| SE | \(\sqrt(diag(H-1f))\). | |
| X | Structural vector. | |
| Public methods | ||
| aggregate | virtual | aggregate blackbox objectives into a scalar value. |
| Point | ||
| Vstore | virtual |
| Public fields | ||
| L | const | Label |
| logf | Log file dedicated to this qty. | |
| pos | position in vector | |
| track | Data tracking object. | |
| v | Current actual value | |
| Volume | Volume of output. | |
| Public methods | ||
| SetVolume | Control variable-specifc output. |
| Public fields | ||
| bb | const | |
| Kvar | const | |
| Public methods | ||
| aggregate | virtual | aggregate separable objectives into a scalar value. |
| SepPoint |
| Public methods | ||
| SysPoint |
| Public fields | ||
| HTopen | static | HTML log is open. |
| logdir | static | directory to put log files in. |
| MPIserver | static | TRUE if running in parallel and in server mode. |
| tmstmp | static | time stamp for log files. |
| version | static const | Current niqlow version. |
| Public methods | ||
| Check | static | Check versions and set timestamp, log directory. |
| Enumerations | ||||||||||||||||||||
| AggregatorTypes | Tags for Types of vector-valued objective Aggregation.
All objectives in FiveO take the form
$$f = \Omega_{i=1}^N v_i.$$
where \(v\) is the vector returned by the Objective::vfunc() method that the user typically
provides for their objective and \(\Omega\) is an aggregator If the objective is a System then this is the system of
equations. The user's objective is called by Objective::vobj() and the
the vector is stored. Then Objective::fobj aggregates the vector into a real number
using one of the aggregators below.
|
LINEAR, LOGLINEAR, MULTIPLICATIVE, MINUSSUMOFSQUARES, SUMOFSQUARES, Aggregators | ||||||||||||||||||
| ConstraintTypes | Tags for Types of Constraints. Used by Constrained objectives. | EQUALITY, INEQUALITY, ConstraintTypes | ||||||||||||||||||
| ConvergenceResults | Code for solutions to Optimization and Non-Linear System solving. | NONE, MAXITERATIONS, FAIL, WEAK, SECONDRESET, STRONG, ConvergenceResults | ||||||||||||||||||
| Names_for_Integers | Pseudonyms for -3, -2, …. | Zero, One, Two, Three, TrackAll, NotInData, UseCurrent, UseCheckPoint, AggGroup, UseDefault, UseLabel, UnInitialized, Impossible, DoAll, NoMatch, AllFixed, AllRand, UseSubSample, ResetValue, IterationFailed, UseGradient, ErgodicDist, CondProbOne, abbrevsz, xax, yax, zax, Naxes, _lo, _hi, GraphLimits | ||||||||||||||||||
| NextTreatmentStates | Possible next treatment phases. | stayinf, gotonextf, exittreatment, NextTreatmentStates | ||||||||||||||||||
| NoiseLevels | Levels of output to produce while executing. | SILENT, QUIET, LOUD, NOISY, NoiseLevels | ||||||||||||||||||
| NormalParams | Tags for parameter vectors of normal distribution. | Nmu, Nsigma, Nrho, NormalParams | ||||||||||||||||||
| ParallelExecutionModes | Modes of Execution when executing in parallel. See BaseTag
|
MultiParamVectors, OneVector, ParallelModes | ||||||||||||||||||
| StateTypes | Codes for Type. These codes (and their order) determine what calculations to do
at the endogenous state \(\theta\).
|
ORDINARY, INSUBSAMPLE, NOTSAMPLED, IGNOREEXOG, LASTT, LASTNOTSAMPLED, TERMINAL, TERMNOTSAMPLED, StateTypeCutoffs |
| X | anything |
| ... | argument passed to CV() |
X Returns Notes Discrete X->myAV() (any class with the member function defined) Other Object CV(X)
| x | m×n matrix. |
| rho | double [default=1.0] smoothing factor |
| X | a double, integer, static function of the form X() or X(arg), or any object with a member named v. an array of CV compatible elements will return the horizontal concatenation value of the results as matrix. |
| ... | a single argument can be passed along with X(). Further arguments are ignored
X Returns Notes
ActionVariable X->myCV() X's column of values in \(\alpha\)
Other Object X.v If v is a member
array row of CV(X) recursively call CV() or CV(...) for all elements
function X() or X(...) simply call function sending optional arguments as array
all else X CV() of arithmetic objects is the value itself
|
| V | Nx1 x N matrix vector, N > 1. |
| A | matrix |
| N | number of points to return |
| pars | 2x1 vector or array of NormalParams
Nmu mean μ Default=0.0 Nsigma standard deviation σ Default=1.0 |
| P | vector of probabilities, p0, p0, … 1-∑pk |
| X | RxNd matrix of points |
| h | bandwidth |
| x | double or vector. |
| X | RxNd matrix of points |
| h | bandwidth. -1 [default] use Silverman > 0.0 value. |
| M | matrix: matrix to compute (column) moments for |
| rlabels | (optional), array of labels for variables |
| oxf | int, print to screen (default), file, printed to file |
| x | m×n matrix. |
| rho | double [default=1.0] smoothing factor |
| A | matrix |
| B | matrix |
| v | double or column vector. |
| obj | object |
| cname | Class nameArray of class names |
| Fatal | TRUE [default]= end on the error FALSE , only issue warning. SILENT no message, just return outcome |
| msg | Message to print if not SILENT and class fails to match (default message is "Class fails to match") |
| sa | a string or an array of strings |
vararray({"A","B","Joe"}) → "A B Joe " vararray("A B Joe ") → "A B Joe "
| s | string |
varlist("A B Joe") → {"A","B","Joe"} varlist("Joe") → "Joe"
| key | string, CGI post keyword |
| title | string, HTML title |
| L | string a label or name for the variable. |
| N | positive integer, number of values. N=1 is a constant. |
| Volume | default=SILENT. NoiseLevels |
| MaxV | non-zero double, default = 1.0 N×1 vector, actual |
| Report | FALSE [default], do not print out current to actual mapping TRUE, print mapping If a double is sent the actual vector to 0,…, MaxV. |
a = new ActionVariable("att",3); // None, half-time, full-time a -> SetActual(); // AV(a) = 0 .5 1.0 OR: a -> SetActual(40); // AV(a) = 0 20 40 (hours) taxbrack = new StateVariable("s",5); //lower bound on tax rate brackets taxbrack -> SetActual( <0; 20000; 55000; 80000; 165000> );
| x | column vector of values |
| trans | TRUE, calculate f and p like output of Transit() |
v = new Discretized(<0;1;2;3>); v->Approx(<-1.3;1.2;2>,TRUE);After execution, these value will be set:
v.pts = { < 0 //-1.3 is to left of first node 1.0 >, // all weight on the node < 1 2 // 1.2 is between 2nd and 3rd nodes 0.8 0.2 >, // 20% of the gap between nodes < 2 // 2 is exactly equal to 3rd node 1.0 > } v.f = < 0 1 2 3 > // 4 nodes have positive weight v.p = < 1.0 0.0 0.0 0.0 0.0 0.8 0.2 1.0 0.0 0.0 0.0 1.0 >
| LorN | array of strings (labels) string, a list of labels processed by varlist positive integer, number of equations |
| R | integer, number of replications |
| J | integer, choice dimensions |
| Sigma | J×J variance matrix |
| V | J×1 vector of choice values |
| j | integer, option to simulate probability for |
| V | J×1 vector of choice values Cholesky matrices are updated by (internal) calls to NnotIID::SetC simulated probability and Ev for option j are left in vj and pj |
| n | the order of the polynomial |
| order | integer, M |
GHQ::Initialize(8); println("E[x*x] = ", GQH::wght * sqr(GQH::nodes) ); // / M_SQRT2PI
∫_0+∞ f(x)exp(-x) ≅ ∑m ωm f(xm)
| order | integer, 2-6, 8, 10, 20, 32 |
| inV=0, | if no argument, V data member holds individual values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be N×M.
|
v = start; scale = 1.0; f = v;
| L | parameter label |
| ival | initial value Typically a user would create an object of class derived from this base class. This function is called by those derived classes to set common elements of paramters. |
v = start = scale = CV(ival); f = 1.0; Encode();Typically this is called by a method of the Objective to re-initialize some or all of the parameters that belong to it.
| newv | value to reset at |
| IsCode | TRUE [default] newv is a free value FALSE newv is structural |
| setting | TRUE or FALSE |
| inV=0, | if no argument, V data member holds individual values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be N×M.
|
| Volume | new NoiseLevels Each quantity variable has a volume setting which is initialized to SILENT. If the new Volume is greater than the current value then a log file is opened if one is not already open. If the new Volume is SILENT and a log file is already open then the log file is closed. |
| inV=0, | if no argument, V data member holds separable values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be (K×NvfuncTerms)×M. |
| logdir | str (default="."). A directory path or file prefix to attach to all log files. All log files will receive the same time stamp, which is set here. |


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prroo
info
About
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsu
hotel
Rooms
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsu
beach_access
Available Amenities
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsu
rowing
Nearby Excursions & Attractions
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsu
Suggested tours
Enjoy one of the best buggy tour in Punta Cana, when you leave the hotel in one of the company trucks with a preview, you enjoy the rural area of our environment. As soon as you put your foot on
Saona Island (Isla Saona) is the Dominican Republic's largest coastal island, clocking in at 15 miles (25 kilometers) long and three miles (5 kilometers) wide, with a population of little more than 300. Part of the National Park of the East, the island features plenty of photo-worthy white sands, swaying palm trees, and turquoise waters.
The Colonial Zone is the historic center of Santo Domingo, declared a World Heritage Site by Unesco. This is where the history of the new world begins. The old city has been recently remodeled and is full of historical monuments such as the First Cathedral of America, the first hospital, the first church, the Columbus Alcazar, there are also beautiful colonial streets, parks and houses.


--- layout: page title: Teaching header: Teaching tagline: group: navigation --- {% include JB/setup %}
I teach/have taught a variety of philosophy courses. As I develop more stable lesson plans, syllabi and resources, I will post them below.


M U S I C A L I T Y
Chord Progression
While music is an expression of art and emotion, the bulk of western music is performed on the same scale. Most of the music we enjoy can be broken down into the same 12 notes. Different genres have different feels and expressions based entirely on how intervals and scales are utilized. a blues song might share the same key and scale as a pop song, but that's where the similarities will end because each approaches the intervals between notes and unfolds in a completely different way.
Jazz
Jazz Chord Progression
Jazz is a music genre that originated in the African-American communities of New Orleans, United States, in the late 19th and early 20th centuries, and developed from roots in blues and ragtime. While blues can be defined by standard I-IV-V progression, Jazz incorporates a "swing" that involves alternately lengthening and shortening the pulse-divisions in a rhythm. Unlike the blues, jazz doesn't always follow a blues form, the chord progression can be completely different from the I-IV-V progression depending on the improvisation of the performer.
The Blues
12 Bar Blues Progression
Blues is a music genre and musical form originated by African Americans in the Deep South of the United States around the end of the 19th century. The genre developed from roots in African musical traditions, African-American work songs, spirituals, and the folk music of white Americans of European heritage. Blues incorporated spirituals, work songs, field hollers, shouts, chants, and rhymed simple narrative ballads.
In melody, blues is often distinguished by the use of the flattened third, fifth and seventh of the associated major scale
POP MUSIC
Pop chord progressions
Pop music is eclectic, and often borrows elements from other styles such as urban, dance, rock, Latin, and country; nonetheless, there are core elements that define pop music. Identifying factors include generally short to medium-length songs written in a basic format (often the verse-chorus structure), as well as common use of repeated choruses, melodic tunes, and hooks.
Punk.
The Evolution of Punk
Punk is an offshoot of rock that started as a response to the then prevailing popularity of disco as well as rock songs of the '70s becoming more cerebral, polished and intricate. Punk presented a more primitive form of rock that stressed energy and expression over compositional complexity. Punk songs were shorter, faster and more straightforward than the prevailing rock of the time.
Rock
Rock Chord Progression
Rock music is a broad genre of popular music that originated in the United States in the early 1950s, and developed into a range of different styles in the 1960s and later. It has its roots in 1940s and 1950s rock and roll, a style which drew heavily on the African-American genres of blues and rhythm and blues, and from country music. Typically, rock is song-based music usually with a progression similar to blues often with I-IV-V progression in a 4/4 time signature using a verse–chorus form, but the genre has become extremely diverse.


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FIREBrick
Software for the open source hardware write-blocker/imager.
FIREBrick features
- Autonomous disk imaging at speeds of up to 5Gb per minute (disk dependent)
- FireWire write blocker function
- Stand-alone version supports storage mirroring and encryption
- Portable – fits in a small HTPC case, including display
- Free, open source firmware
- Can be fully customized to the needs of specific departments
- Adheres to NIST Computer Forensic Tool Testing protocols
- Automatic RAID storage detection
To build a FIREBrick you need:
ASRock E350M1 Motherboard
1Gb DDR3 Desktop RAM (1333 or 1066)
Dynamode PCIX3FW 3-Port Firewire PCIe
An LCD2USB 20×4 display. You can buy it from Lcdmodkit or you can make one yourself.
Note: If you want to use RAID storage, you will also need two equal-sized HDDs.
For more info visit http://digitalfire.ucd.ie/?page_id=1011
Lee Tobin -<EMAIL_ADDRESS>Address
Room A1.10
UCD School of Computer Science
University College Dublin
Belfield, Dublin 4, Ireland
<EMAIL_ADDRESS>@dfirelabs
Visit the wiki page for more info: https://github.com/leetobin/firebrick/wiki
Disclaimer
This system is in development, any loss of data/evidence or any related problems are not the fault of this project or DigialFIRE. We're confident in this project, but we're only human. Also, we're adding functionality to the FIREBrick all the time, so again, test your FIREBrick lots (particularly if you've developed new functionality).


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Hello World
This is a hello from Arianna. Arianna likes:
Shihtzus
NY Giants
Image Comics such as Saga and Bitch Planet


95-year-old WWII veteran awarded high school diploma
by Preston Jones, FOX23.comCLAREMORE, Okla. -
A World War II veteran from Oklahoma got a long-overdue honor Thursday at Claremore High School.
Lewie Shaw, 95, left school early to enlist in the Marine Corps to serve in 1943.
The Claremore High School Navy Junior ROTC presented Shaw with a cap, gown and high school diploma Thursday that he didn't get the chance to have 76 years ago.
Shaw served in combat with the 4th Marine Division in battles including Tinian, Saipan and Iwo Jima.
A law passed in 2001 allows school districts to award veterans of World War II and Korea their diplomas.


Bike-1 (Sales Page - Green bike overlooking scenic mountain trail)
Walleater. (2017). Mountain bike[Photograph].
https://commons.wikimedia.org/wiki/File:Norco_Range.jpg#filehistory
Bike-2 (Sales Page - Black bike with huge tires)
No attribution required
https://pixabay.com/en/fatbike-fatbikes-bicycle-tires-bike-2239417/
Bike-3 (Sales Page - Red mountain bike in city park)
No attribution required
https://pxhere.com/en/photo/1080492
Bike-11 (Main Page - Extreme downhill racer in red)
Martin, S. (2014). Fastest lady on the mountain by over 2 seconds[Photograph].
https://image.redbull.com/rbcom/010/2014-06-16/1331658955279_2/0012/0/454/0/2202/3499/2300/1/the-fastest-lady-on-the-mountain-by-over-2-seconds.JPG
Bike-13 (Main Page - Mountain Bike Racer rocketing down wooded trail)
Fogle, J. (2016). Custom HDQ Downhill Wallpapers and Pictures[Photograph].
http://7-themes.com/collections/downhill-wallpapers/4477561/
Bike-14 (Main Page - Mountain Bike Racer coming down a dusty trail)
Stuadt, Jens. (2016). Racing bike[Photograph].
http://bikevideo.com/wp-content/uploads/sites/6/2016/05/racing_bike.jpg
GDT Trail (Events Page - Map of North America with trail highlighted)
[Drawing of high-level map view of the great divide trail].(2010)
http://yetithruhikes.blogspot.com/2010/10/gdt.html


{% extends "layout_unbranded.html" %} {% block page_title %} How we work at DWP {% endblock %} {% block main_content %}
DWP business transformation group works to 'agile' principles.
If you've never worked in an agile environment before it involves working at pace, usually releasing new features every 2 weeks.
You'll be expected to join in with agile 'ceremonies'. These include:
Each of your teams will work differently and be made up of slightly different people and skills.
You'll work most closely with user researchers and interaction designers.
Agile teams sit and work together but you won't necessarily have a permanent desk.
You'll have regular meetings with the user experience community across DWP.
Other user experience roles include:
Your head of role will let you know when these are happening and where.
As well as collaborating in the office individuals are expected to join the government-wide digital community, and are encouraged to blog and speak publicly about the work we are doing to improve government services.
DWP has a 'hub' strategy for delivering digital services. This means there are several large offices delivering several services from each.
Your home hub is Leeds ONE but you may need to go to the other hubs on occasion.
{% endblock %}


Hello,
Im new to jQuery and BBLog and I'm working on a plugin which will load more servers (pages). But for some reason it doesent work. It is supposed to scroll down the page to load another page and then go back to top slowly (just for testing). Like I said I'm new to all this.
My plugin:
https://dl.dropboxusercontent.com/u/77103826/JS/MoreServerz.js


Files CCore/inc/Log.h CCore/src/Log.cpp
CCore provides a log implementation, it can be used as a system-wide log in embedded applications or as a local log of an application or a system component. The log is efficient, providing you use efficient types for log message arguments. To store log messages a fixed memory space is used.
A log message has an associated category and a time-stamp. You can use filters to control the message logging and the message selection from a log. Log also counts messages. Log stores a message as a compact data structure, which includes message category, time-stamp, format string and format arguments. Format string must be a persistent string. Format arguments are copied, so they must have a value semantic. It is recommended, that format arguments should be Small Data Types.
The class LogCategory_enum implements a log message category type, based on two enums.
template <class Src,class Type> // Src and Type are uint5 enums
class LogCategory_enum
{
....
public:
// constructors
LogCategory_enum();
LogCategory_enum(Src src,Type type);
// methods
Src getSource() const;
Type getType() const;
// print object
void print(PrinterType &out) const;
};
It stores internally two enum values: Src and Type. It is assumed that the Src describes the message source, and the Type describes the message type. Src and Type must be "uint5" enums, i.e. the usable value range should be representable by a 5-bits unsigned.
The class LogFilter_enum implements a log message filter for the category type of the LogCategory_enum.
template <class Src,class Type> // Src and Type are uint5 enums
class LogFilter_enum
{
....
public:
// constructors
LogFilter_enum(); // enable all
LogFilter_enum(LogCategory_enum<Src,Type> cat); // filter all other cats
// enable/disable
void enable(Src src);
void enable(Type type);
void disable(Src src);
void disable(Type type);
// filter all cats with disabled src OR disabled type
bool operator () (LogCategory_enum<Src,Type> cat) const;
};
Default constructor creates a filter, which passes all categories.
The second constructor creates a filter, which passes only the given category.
enable() enables the given type or source.
disable() disables the given type or source.
The operator () is a filter function. It is called to filter out the given category. If the return value is true, the category must be filtered out. This filter filters categories, whose source is disabled OR whose type is disabled.
The class LogStamp is a default log time-stamp class implementation. It is a Small Data Type. It holds 3 values: the message number, the message second time-stamp and the message differential clock time-stamp (i.e. the clock time since the previous message). The inner class Host is responsible for the time-stamp generation. An instance of this class is created as the part of a log object.
class LogStamp
{
ulen num;
SecTimer::ValueType time_sec;
ClockDiffTimer::ValueType time_clock;
public:
// constructors
LogStamp() : num(0),time_sec(0),time_clock(0) {}
// print object
void print(PrinterType &out) const
{
Printf(out,"#;) [#;,#6r;]",num,PrintTime(time_sec),time_clock);
}
// Host
class Host : NoCopy
{
ulen num;
SecTimer sec_timer;
ClockDiffTimer clock_timer;
public:
Host() : num(0) {}
void operator () (LogStamp &stamp)
{
stamp.num=num++;
stamp.time_sec=sec_timer.get();
stamp.time_clock=clock_timer.get();
}
};
};
Any other log time-stamp classes must follow this pattern:
class SomeLogTimeStamp // Small Data Type
{
....
public:
// default constructor
SomeLogTimeStamp();
// print object
void print(PrinterType &out) const;
// Host -- time-stamp generator
class Host : NoCopy
{
....
public:
Host();
void operator () (SomeLogTimeStamp &stamp)
};
};
The class LogCounter is to count log messages. It has two counters: the total message count and the committed message count. A message can be skipped by different reasons.
class LogCounter
{
ulen total;
ulen committed;
public:
// constructors
LogCounter()
{
total=0;
committed=0;
}
// count
void alloc() { total++; }
void commit() { committed++; }
// print object
void print(PrinterType &out) const
{
Printf(out,"total = #;",total);
if( ulen skipped=total-committed ) Printf(out," skipped = #;",skipped);
}
};
This class serves as the base class for log message object classes.
template <class Cat,class Stamp>
class LogMsgBase : NoCopy
{
....
private:
virtual void printBody(PrintBase &) const {}
public:
// constructors
explicit LogMsgBase(Cat cat_) : cat(cat_) {}
virtual ~LogMsgBase() {}
// methods
Cat getCategory() const { return cat; }
// print object
void print(PrintBase &out) const;
};
This class is an actual log message object type, as it is stored in a log. It is derived from the LogMsgBase.
template <class T> concept bool LogableType = PrintableType<T> && NothrowCopyableType<T> ; template <class Cat,class Stamp,LogableType ... TT> class LogMsg<Cat,Stamp,TT...> : public LogMsgBase<Cat,Stamp> { const char *format; Tuple<TT...> data; private: virtual void printBody(PrintBase &out) const { Printf(out,format,data); } public: LogMsg(Cat cat,const char *format_,const TT & ... tt) : LogMsgBase<Cat,Stamp>(cat),format(format_),data(tt...) {} };
The class LogMem is a memory distributor for log messages. This class is used by the LogStorage to manage the log message memory blocks. You don't need to use it directly.
class LogMem : NoCopy
{
....
public:
// constructors
explicit LogMem(ulen mem_len);
explicit LogMem(Space space); // space.mem aligned
~LogMem();
// methods
void clear();
void * alloc(ulen len);
void free(void *ret);
void del(void *beg);
};
This class is a storage for log messages. It is a core class for the log implementation.
template <class Cat,class Stamp>
class LogStorage : NoCopy
{
....
public:
// constructors
explicit LogStorage(ulen mem_len,bool overrun=true);
explicit LogStorage(Space space,bool overrun=true); // space.mem aligned
~LogStorage();
// methods
ulen getCount() const;
void getCounter(LogCounter &ret) const;
void setOverrun(bool overrun);
void delAll();
// message
void * alloc(ulen msg_len);
void free(void *mem);
void commit(void *mem,LogMsgBase<Cat,Stamp> *msg);
// cursor
const LogMsgBase<Cat,Stamp> * startCursor();
const LogMsgBase<Cat,Stamp> * nextCursor();
void stopCursor();
};
The first constructor allocates the memory dynamically. The second uses the provided memory space. The base address of this space must be aligned.
getCount() returns the number of messages in the storage.
getCounter() returns the current message counter.
setOverrun() sets the overrun flag. If this flag is set and there is no enough memory for a new message, the oldest messages are deleted to acquire the memory.
delAll() deletes all messages.
To add a new message to the storage, you must allocate the memory for the message using the method alloc(). The argument is the required memory length. If there is no enough memory, alloc() returns null (but the current message counter is updated). Otherwise, you get the address of the memory block. You must create a message at this address, or return this block, using the method free(). If you are succeeded in the message creation, you must commit the message into the storage using the method commit(). The first argument is the address of the memory block, the second is the pointer to the message base class (the message type is derived from the LogMsgBase<Cat,Stamp>).
A storage is responsible for the message counting and the message stamping.
You can iterate over the storage content using the storage cursor. There can be only one active storage cursor at any moment.
startCursor() starts the cursor. If the cursor is already active, the null is returned. Otherwise, the pointer to the first message is returned, or null if there is no one, in the last case the cursor is not activated.
nextCursor() moves to the next message. If the return value is null, the cursor is not active anymore.
stopCursor() deactivates the cursor. You must use this method when you have done with an iteration, unless the last call of the nextCursor() has returned null.
Be advised, while the storage cursor is active, the current cursor message and all following cannot be deleted. The method delAll(), in particular, leaves these messages alive. It means, you have to finish with the cursor before the storage object destructor call.
The class UserLog is a "user" any-purpose log. It is parameterized by four template parameter.
The first parameter is Cat, it is a log message category type.
The second is Stamp, it is a log time-stamp class.
The third is Filter, it is a log message filter class.
The last is Mutex, it is a mutex class. The object of this type is used to protect log operations. It is defaulted to NoMutex. If you need a thread-safe log, use a real Mutex class here.
template <class Cat,class Stamp,class Filter,class Mutex>
class UserLog : NoCopy
{
....
public:
// constructors
UserLog(TextLabel name,ulen mem_len,bool overrun=true);
UserLog(TextLabel name,Space space,bool overrun=true) // space.mem aligned
~UserLog();
// methods
TextLabel getName() const;
void getCounter(LogCounter &ret) const;
void setOverrun(bool overrun);
void setFilter(Filter filter);
void getFilter(Filter &ret) const;
// message
template <class ... TT>
void operator () (Cat cat,const char *format,const TT & ... tt) requires ( ... && LogableType<TT> ) ;
// cursor
class Cursor;
// print
class PrintFunc;
auto getPrint(ulen count,const Filter &filter=Filter());
};
Two constructors are differ only in the way of the memory allocation: the first takes memory from the heap. The second uses the provided memory space, the space base address must be aligned. The name is used to name the internal mutex object and the log itself. The overrun is the overrun flag.
getName() returns the log name.
getCounter() returns the log message counter.
setOverrun() sets the overrun flag. If this flag is set, then new messages will overrun oldest messages in the log. Otherwise, log doesn't delete old messages and therefor has a limited capacity.
setFilter() sets the given message filter to drop incoming messages.
getFilter() returns the current log filter.
To add a message to the log the operator () is used. The first argument is the message category. The message can be filtered out based on this value. The second argument is the message format string. It must be a persistent string (at least for the log life-time duration), not a temporary life-time value. Usually, it is a string literal. The last arguments are used to format the message pretty the same way as the Printf() function is working.
getPrint() builds a temporary object to be used for printing. It prints up to the given count of log messages from the beginning of the log using the given filter to filter out messages for printing. Printing doesn't lock the log: logging may continue during the print operation. That is why we need some message count limit. If you are sure the log is not appending anymore, you may use the MaxULen value for the count. Be advised, a log can be printed only to printer objects, whose type is derived from the PrintBase class.
The global function PrintLog() can also be used to build a print object:
template <class Cat,class Stamp,class Filter,class Mutex> auto PrintLog(UserLog<Cat,Stamp,Filter,Mutex> &log,ulen count,const Filter &filter); template <class Cat,class Stamp,class Filter,class Mutex> auto PrintLog(UserLog<Cat,Stamp,Filter,Mutex> &log,ulen count);
The inner class Cursor can be used to iterate over the log messages. There can be only one active cursor object at the given time.
class Cursor : NoCopy
{
....
public:
// constructors
Cursor(UserLog &log,ulen count);
~Cursor();
// object ptr
bool operator + () const;
bool operator ! () const;
const LogMsgBase * getPtr() const;
const LogMsgBase & operator * () const;
const LogMsgBase * operator -> () const;
// cursor
void operator ++ ();
};


|
Aufgabe 3 - Quo vadis, Quax?
|
Classes | |
| class | EndNode |
| Represents the possible smallest Quadtree Node More... | |
| class | MapSquare |
| Represents a square cutout of the map More... | |
| class | Node |
| Represents a Quadtree Node More... | |
| class | NodeElement |
| Base class for the Nodes in the Quadtree More... | |
| class | QuadtreeManager |
| General Quadtree Manager More... | |
| class | Square |
| Defines a Square More... | |
Enumerations | |
| enum | MapTypes { Water, Ground, Quax, City, Mixed, Unknown } |
| The different map types More... | |
|
strong |
The different map types


Last updated: 2018-08-03
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Here, we illustrate how to use the iasva package to detect cell cycle stage difference within single cell RNA sequencing data. We use single cell RNA sequencing (scRNA-Seq) data obtained from human glioblastoma samples (Petel et. al., 2014). This dataset is included in a R data package (“iasvaExamples”) containing data examples for IA-SVA (https://github.com/dleelab/iasvaExamples). To install the package, follow the instruction provided in the GitHub page.
#devtools
library(devtools)
#iasva
devtools::install_github("UcarLab/iasva")
#iasvaExamples
devtools::install_github("dleelab/iasvaExamples")
rm(list=ls())
library(irlba) # partial SVD, the augmented implicitly restarted Lanczos bidiagonalization algorithm
library(iasva)
library(iasvaExamples)
library(sva)
library(SCnorm)
Warning: package 'SCnorm' was built under R version 3.5.1
library(scran)
library(scater)
Warning: package 'scater' was built under R version 3.5.1
library(Rtsne)
library(pheatmap)
library(corrplot)
library(DescTools) #pcc i.e., Pearson's contingency coefficient
library(RColorBrewer)
library(SummarizedExperiment)
library(vioplot)
color.vec <- brewer.pal(3, "Set1")
# Normalization.
normalize <- function(counts)
{
normfactor <- colSums(counts)
return(t(t(counts)/normfactor)*median(normfactor))
}
data("Patel_Glioblastoma_scRNAseq_Read_Counts")
data("Patel_Glioblastoma_scRNAseq_Annotations")
data("Patel_Glioblastoma_scRNAseq_ENSG_ID")
ls()
[1] "color.vec"
[2] "normalize"
[3] "Patel_Glioblastoma_scRNAseq_Annotations"
[4] "Patel_Glioblastoma_scRNAseq_ENSG_ID"
[5] "Patel_Glioblastoma_scRNAseq_Read_Counts"
counts <- Patel_Glioblastoma_scRNAseq_Read_Counts
anns <- Patel_Glioblastoma_scRNAseq_Annotations
ENSG.ID <- Patel_Glioblastoma_scRNAseq_ENSG_ID
dim(anns)
[1] 434 3
dim(counts)
[1] 25353 434
length(ENSG.ID)
[1] 25353
summary(anns)
run patient_id subtype
SRR1294493: 1 MGH26:118 None :120
SRR1294494: 1 MGH28: 95 Mes :103
SRR1294496: 1 MGH29: 76 Pro : 89
SRR1294498: 1 MGH30: 74 Cla : 46
SRR1294499: 1 MGH31: 71 Neu : 24
SRR1294500: 1 Pro+Cla: 20
(Other) :428 (Other): 32
table(anns$patient_id, anns$subtype)
Cla Cla+Mes Mes Neu Neu+Cla Neu+Mes None Pro Pro+Cla Pro+Neu
MGH26 10 0 0 1 1 0 19 71 14 2
MGH28 1 5 56 0 0 7 21 5 0 0
MGH29 0 0 28 12 0 12 19 4 0 1
MGH30 33 1 8 1 1 0 16 6 6 2
MGH31 2 0 11 10 0 0 45 3 0 0
ContCoef(table(anns$patient_id, anns$subtype))
[1] 0.723431
The annotations describing the glioblastoma samples and experimental settings are stored in “anns” and the read counts information is stored in “counts”.
We use read counts of glioblastoma cells from Patient MGH30 (n = 74).
counts <- counts[, (anns$patient_id=="MGH30")]
anns <- subset(anns, (patient_id=="MGH30"))
dim(counts)
[1] 25353 74
dim(anns)
[1] 74 3
anns <- droplevels(anns)
prop.zeros <- sum(counts==0)/length(counts)
prop.zeros
[1] 0.6290769
# filter out genes that are sparsely and lowly expressed
filter = apply(counts, 1, function(x) length(x[x>5])>=3)
counts = counts[filter,]
dim(counts)
[1] 21907 74
ENSG.ID <- ENSG.ID[filter]
length(ENSG.ID)
[1] 21907
prop.zeros <- sum(counts==0)/length(counts)
prop.zeros
[1] 0.5731686
Subtype <- anns$subtype
Patient_ID <- anns$patient_id
mito.genes <- grep(pattern = "^MT-", x = rownames(x = counts), value = TRUE)
Percent_Mito <- colSums(counts[mito.genes, ])/colSums(counts)
## count-depth relationship for all genes
Conditions = rep(c(1), each=74)
countDeptEst <- plotCountDepth(Data = counts, Conditions = Conditions,
FilterCellProportion = .1, NCores=8)
DataNorm <- SCnorm(Data = counts, Conditions = Conditions,
PrintProgressPlots = FALSE,
FilterCellNum = 10,
NCores=8)
Setting up parallel computation using 8 cores
Gene filter is applied within each condition.
5275 genes in condition 1 will not be included in the normalization due to
the specified filter criteria.
A list of these genes can be accessed in output,
see vignette for example.
Finding K for Condition 1
Trying K = 1
Trying K = 2
Trying K = 3
Trying K = 4
Trying K = 5
Trying K = 6
Trying K = 7
Done!
counts <- SingleCellExperiment::normcounts(DataNorm)
summary(colSums(counts))
Min. 1st Qu. Median Mean 3rd Qu. Max.
54112972 56272666 56519431 58933473 57764297 116031129
dim(counts)
[1] 21907 74
It is well known that the number of detected genes in each cell explains a very large portion of variability in scRNA-Seq data (Hicks et. al. 2015 BioRxiv, McDavid et. al. 2016 Nature Biotechnology). Frequently, the first principal component of log-transformed scRNA-Seq read counts is highly correlated with the number of detected genes (e.g., r > 0.9). Here, we calculate the number of detected genes for glioblastoma cells, which will be used as an known factor in the IA-SVA analyses.
Num_Detected_Genes <- colSums(counts>0)
Geo_Lib <- colSums(log(counts+1))
summary(Geo_Lib)
Min. 1st Qu. Median Mean 3rd Qu. Max.
48594 55663 60062 60197 62882 99461
barplot(Geo_Lib, xlab="Cell", las=2, ylab = "Geometric library size")
lcounts <- log(counts + 1)
# PC1 and Geometric library size correlation
pc1 = irlba(lcounts - rowMeans(lcounts), 1)$v[,1] ## partial SVD
cor(Num_Detected_Genes, pc1)
[1] 0.8357149
cor(Geo_Lib, pc1)
[1] 0.9299861
Here, we run IA-SVA using Geo_Lib_Size as a known factor and identify five hidden factors. SVs are plotted in a pairwise fashion to uncover which SVs can seperate cells.
set.seed(3445)
mod <- model.matrix(~Geo_Lib)
summ_exp <- SummarizedExperiment(assays = counts)
iasva.res<- iasva(summ_exp, as.matrix(mod[,-1]),verbose=FALSE, permute=FALSE, num.sv=5)
IA-SVA running...
SV 1 Detected!
SV 2 Detected!
SV 3 Detected!
SV 4 Detected!
SV 5 Detected!
# of significant surrogate variables: 5
iasva.sv <- iasva.res$sv
Cluster <- as.factor(iasva.sv[,1] < 0.1)
levels(Cluster)=c("Cluster1","Cluster2")
table(Cluster)
Cluster
Cluster1 Cluster2
13 61
pairs(iasva.sv[,1:5], main="IA-SVA", pch=21, col=color.vec[Cluster],
bg=color.vec[Cluster], oma=c(4,4,6,14))
legend("right", levels(Cluster), fill=color.vec, bty="n")
plot(iasva.sv[,1:2], main="IA-SVA", pch=21, xlab="SV1", ylab="SV2",
col=color.vec[Cluster], bg=color.vec[Cluster])
cor(Num_Detected_Genes, iasva.sv[,1])
[1] 0.3477167
cor(Geo_Lib, iasva.sv[,1])
[1] 0.4360903
corrplot(cor(iasva.sv))
Here, using the find_markers() function we find marker genes that are significantly associated with SV1 (multiple testing adjusted p-value < 0.05, default significance cutoff, and R-squared value > 0.3).
# try different R2 thresholds
pdf(paste0("output/Clustering_analyses_figure3_sv1.pdf"))
r2.results <- study_R2(summ_exp, iasva.sv,selected.svs=1, no.clusters=2)
# of markers (): 466
total # of unique markers: 466
# of markers (): 361
total # of unique markers: 361
# of markers (): 232
total # of unique markers: 232
# of markers (): 165
total # of unique markers: 165
# of markers (): 119
total # of unique markers: 119
# of markers (): 89
total # of unique markers: 89
# of markers (): 62
total # of unique markers: 62
# of markers (): 47
total # of unique markers: 47
# of markers (): 33
total # of unique markers: 33
# of markers (): 21
total # of unique markers: 21
# of markers (): 14
total # of unique markers: 14
# of markers (): 5
total # of unique markers: 5
# of markers (): 1
total # of unique markers: 1
# of markers (): 0
total # of unique markers: 0
dev.off()
quartz_off_screen
2
marker.counts.SV1 <- find_markers(summ_exp,
as.matrix(iasva.sv[,c(1)]), rsq.cutoff = 0.4)
# of markers (): 62
total # of unique markers: 62
marker.counts.SV1.long <- find_markers(summ_exp,
as.matrix(iasva.sv[,c(1)]), rsq.cutoff = 0.3)
# of markers (): 119
total # of unique markers: 119
nrow(marker.counts.SV1)
[1] 62
nrow(marker.counts.SV1.long)
[1] 119
anno.col2 <- data.frame(Cluster=Cluster, SV1=iasva.sv[,1])
rownames(anno.col2) <- colnames(marker.counts.SV1)
head(anno.col2)
Cluster SV1
SRR1294928 Cluster2 0.03921618
SRR1294930 Cluster2 -0.08861064
SRR1294931 Cluster2 -0.06308121
SRR1294932 Cluster2 -0.07956245
SRR1294934 Cluster2 0.01656383
SRR1294935 Cluster2 -0.04288853
cluster.col <- color.vec[1:2]
names(cluster.col) <- as.vector(levels(Cluster))
anno.colors <- list(Cluster=cluster.col)
anno.colors
$Cluster
Cluster1 Cluster2
"#E41A1C" "#377EB8"
pheatmap(log(marker.counts.SV1+1), show_colnames =FALSE,
clustering_method = "ward.D2",cutree_cols = 2,annotation_col = anno.col2,
annotation_colors = anno.colors)
pheatmap(log(marker.counts.SV1.long+1), show_colnames =FALSE,
clustering_method = "ward.D2",cutree_cols = 2,annotation_col = anno.col2,
annotation_colors = anno.colors)
gene.list <- rownames(marker.counts.SV1)
write.table(gene.list, file = paste0("output/CC_genes.short.txt"),
col.names =F, row.names = F, quote = F)
gene.list <- rownames(marker.counts.SV1.long)
write.table(gene.list, file = paste0("output/CC_genes.long.txt"),
col.names =F, row.names = F, quote = F)
Theses marker genes are strongly enriched in cell-cycle related GO terms and KEGG pathways. (See Supplementary Figure 6 in https://doi.org/10.1101/151217)
ENSG.counts <- counts
rownames(ENSG.counts) <- ENSG.ID
sce <- SingleCellExperiment(list(counts=ENSG.counts))
# load human cell cycle markers
hs.pairs <- readRDS(system.file("exdata",
"human_cycle_markers.rds", package="scran"))
assigned <- cyclone(sce, pairs=hs.pairs)
head(assigned$scores)
G1 S G2M
1 0.432 0.983 0.001
2 0.103 0.926 0.027
3 0.105 0.895 0.009
4 0.032 0.950 0.024
5 0.003 0.692 0.560
6 0.452 0.905 0.000
table(assigned$phases)
G1 G2M S
8 14 52
phase <- rep("S", ncol(sce))
phase[assigned$scores$G1 > 0.5 & assigned$scores$G2M < 0.5] <- "G1"
phase[assigned$scores$G1 < 0.5 & assigned$scores$G2M > 0.5] <- "G2M"
phase[assigned$scores$G1 < 0.5 & assigned$scores$G2M < 0.5] <- "S"
phase[assigned$scores$G1 > 0.5 & assigned$scores$G2M > 0.5] <- "Unknown"
table(phase)
phase
G1 G2M S Unknown
7 12 52 3
G1 <- iasva.sv[,1][phase=="G1"]
S <- iasva.sv[,1][phase=="S"]
G2M <- iasva.sv[,1][phase=="G2M"]
Unknown <- iasva.sv[,1][phase=="Unknown"]
vioplot(G1, S, G2M, Unknown, names=c("G1", "S", "G2M", "Unknown"),
col="gold")
title(xlab="Cell-cycle stage predictions", ylab="IA-SVA factor (SV1)")
## Run tSNE to detect the hidden heterogeneity. For comparison purposes, we applied tSNE on read counts of all genes to identify the hidden heterogeneity. We used the Rtsne R package with default settings.
set.seed(43324)
tsne.res <- Rtsne(t(lcounts), dims = 2, perplexity = 20)
plot(tsne.res$Y, main="tSNE", xlab="Dim1", ylab="Dim2",
pch=21, col=color.vec[Cluster], bg=color.vec[Cluster], oma=c(4,4,6,12))
legend("bottomright", levels(Cluster), border="white",
fill=color.vec, bty="n")
As shown above, tSNE fails to detect the outlier cells that are identified by IA-SVA when all genes are used. Same color coding is used as above.
Here, we apply tSNE on the marker genes for SV1 obtained from IA-SVA
set.seed(3452)
tsne.res <- Rtsne(unique(t(log(marker.counts.SV1.long+1))),
dims = 2, perplexity = 20)
plot(tsne.res$Y, main="IA-SVA + tSNE", xlab="tSNE Dim1",
ylab="tSNE Dim2", pch=21, col=color.vec[Cluster],
bg=color.vec[Cluster], oma=c(4,4,6,12))
legend("topright", levels(Cluster), border="white", fill=color.vec, bty="n")
cor(Num_Detected_Genes, iasva.sv[,1])
[1] 0.3477167
cor(Geo_Lib, iasva.sv[,1])
[1] 0.4360903
By allowing correlation between factors, IA-SVA accurately detects the cell cycle stage difference, which is moderately correlated (|r|=0.44) with the geometric library size (the first principal component).


{% extends "global/Page.html" %}
{% load staticfiles otree %}
{% block title %}
Survey
{% endblock %}
{% block content %}
{% formfield player.q1 label="Where do you supposedly live?" %}
{% formfield player.q2 label="What is your supposed average monthly energy usage?" %}
{% next_button %}
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| Concept Framework 2.2 documentation | Contents | Index |
| Name | Version | Deprecated |
| FaceRecognize | version 2 | no |
| number FaceRecognize(string source, array trainig_data[, var number confidence, number type=OBJECT_FILE|OBJECT_CAMERA|OBJECT_BUFFER, string training_filename="", var number out_handle=null]); |
|
Recognizes a face and returns its index. training_data must be an array of files in type format (file or streams). If training filename is specified and training_data is an empty array, the training data will be loaded from that file. If training_data is not empty, the training data will be saved to that file.
out_handle caches all the used vectors, and you should use it only when heavy processing is done. Just pass a named variable to hold the vectors, and call CloseRecognize on it when you're done. |
var arr2=["out/out0.png", "out/out1.png", "out/out2.png"]; echo FaceRecognize("out/out3.png", arr2, var coef, OBJECT_FILE, "", var container); echo "($coef)"; CloseRecognize(container); |
| Documented by Devronium Autodocumenter Alpha, generation time: Sun Jan 27 18:15:35 2013 GMT | (c)2013 Devronium Applications |


{% extends "base.html" %} {% block content %}
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What we need is a few good taters.


About Valiant Gaming
We wanted to encourage all people who have a passion for e-sports. Our love for Dota 2 is beyond just the game, we aim to create a platform where players can compete to develop their talent. We don't want you to end this passion at the fallen ancient, we want to influence people to make gaming as their career and much beyond.


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JC
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Student of Systems and Computer Engineering.
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My component for a 4th year project, DIY touch screen.
Wall maze solving robot.
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Gess is the combination of Go and Chess. It has very simple rules
and yet it can be tricky to play. I present here a Java applet that allows
you to play gess with yourself or with a friend sitting next to you.
The program, tells you when one side has lost, but allows you to continue
playing anyway so that you can try out different steps. Until I rectify
it, treat it as a feature.
Rules:
- It is played on a standard 18x18 Go board with a "twilight zone" on either
side making it a 20x20 board
(a--t, 1--20 where columns a and t and rows 1
and 20 cannot be occupied by stones).
- Each player has 43 stones. Red goes first.
- A piece is defined by a 3x3 region not containing your opponents stones
and with at least one of your stone being along the periphery.
| Rook |
Bishop |
Queen |
Ring |
Pawn |
Hybrid1 |
Hybrid2 |
Hybrid3 |
Hybrid4 |
Partly twilight |
|
|
|
|
|
|
|
|
|
|
- If the middle square of you 3x3 piece is occupied, the piece can move
until obstructed. Otherwise it can move at most three steps.
- If obstructed, the piece stops there. Stones which were there earlier
go out.
- One can remove ones own stones in the above fashion.
- The "twilight zone" can be used as part of a 3x3 piece. But any stone
that goes on to it vanishes off the board.
- Each player has a ring to begin with: a 3x3 piece with the center empty.
 You can accumulate more rings during the play.
Enjoy the game!


Transported in Another World Stuck as a Catgirl Playing Mahjong
おはよう
Back to OCs
Back to Home
Prologue
Chapter 1


My name is Sheila Egeidza and I am passionate about programming. “My vision is to be an honest, empathetic and impactful programmer and to be recognized internationally within the software development industry. I am committed to growing as a programmer and delivering value-added projects to the end users.My mission is to create and lead a dream team where everyone is playing to their strengths.”


Gloucester 12-21 Saracens: Sarries put difficult week behind them to move second in Premiership
by Brent Pilnick| Gallagher Premiership |
|---|
| Gloucester (5) 12 |
| Tries Marshall, Ludlow Con Twelvetrees |
| Saracens (16) 21 |
| Tries Tompkins, Earl Pens Vunipola 3 Con Vunipola |
Saracens silenced the jeers of the Gloucester fans as they recorded a 21-12 win at Kingsholm, in their first game since being given a 35-point deduction and £5.36m fine for salary cap breaches.
The European and English champions ran out to a chorus of boos as some Gloucester fans waved fake £50 notes.
Chants of "same old Sarries, always cheating" rang loud around Kingsholm for large parts of the game.
But despite being without a vast number of their England World Cup finalists - they put on an impressive display to get their first win at Kingsholm since October 2015.
A clinical performance in attack and defence from Mark McCall's under-strength side saw them smother Gloucester and move second in the Premiership pending the outcome of an appeal against their punishment.
Less famous stars shine bright
Saracens went into the game without England captain Owen Farrell and his World Cup team-mates Jamie George, Maro Itoje, Elliot Daly, George Kruis, and Mako and Billy Vunipola as they restored their body clocks to UK time after the best part of two months in Japan.
They were still able to call on Scotland's Sean Maitland, former England scrum-half Richard Wrigglesworth and experienced squad players like Will Skelton, Nick Tompkins and Jackson Wray, while new signing Jack Singleton started on the bench, as did England's late World Cup call-up scrum-half Ben Spencer.
It was Wrigglesworth who set the tone in the first half - his accurate kicking and experienced leadership helping a Saracens side who had ranging levels of experience.
Manu Vunipola, the young cousin of England's Mako and Billy, kicked his side into an 18th-minute lead, before Nick Tompkins' try increased the gap to 10 points - Danny Cipriani's sliced clearance kick set up the field position and Vunipola's superb drop of the shoulder creating the opening for Saracens to send over Tompkins over from close range.
Within five minutes Gloucester had pulled a try back - Marshall sprinting down the right, precisely chipping over the onrushing Saracens defence and kicking he ball on before diving into the corner.
Gloucester indiscipline saw them give away two more penalties that Vunipola dispatched from close range as the visitors went in 16-5 up at the break.
Saracens impress to hold out hosts
The second half was just three minutes old when there was a long stoppage for a nasty-looking leg injury to Saracens loose head Ralph Adams-Hale - the 22-year-old was making his first Premiership start but needed oxygen as he was stretchered off under heavy medical attention.
But Saracens did not need long to increase their lead - having had a rolling maul try disallowed for obstruction, Saracens made no mistake with the very next play as Ben Earl was forced over by the pack.
Gloucester struggled to find a way through Saracens' constrictive defence - Ollie Thorley's pacy run after an hour was repelled while Corne Fourie was held up an inch short of the line.
It took 15 minutes of almost solid Gloucester pressure before the visitors finally cracked - Lewis Ludlow being forced over from close range as Gloucester's fans found their voice and turned their anger on their visitors once again.
But it was Saracens who almost had the last laugh as Ben Spencer knocked on under pressure as he dived for the corner in the final minute.
Saracens may have left the ground to the sounds of "I Fought the Law" by The Clash from the tannoy and accusations of being cheats from the fans, but they showed their strength in depth against a strong Gloucester side - whether that squad has been fairly or unfairly assembled is still up for debate.
Why were Saracens punished?
Saracens were found guilty of breaching the Premiership's £7m salary cap after an investigation into business partnerships between chairman Nigel Wray and some of the club's top players, including England captain Owen Farrell, and Mako and Billy Vunipola.
A 35-point deduction and £5.36m fine has been handed down to the reigning Premiership and European champions - although it is currently suspended pending an appeal.
The affair has turned Saracens into the pariahs of the rugby world.
Exeter's chairman Tony Rowe - who has seen his side lose the last two Premiership finals to a Saracens side found guilty of "cheating" the system - said their punishment was not harsh enough and they should be relegated.
Former England captain Chris Robshaw said Saracens had put rugby union "in a very dangerous place" and that they were "cheating to a certain extent", while Sale director of rugby Steve Diamond - who was in charge at Saracens from 2004 to 2006 - said rugby union would "bankrupt itself" if clubs are not stopped from breaching salary-cap rules.
Saracens 'handled the pressure' - post-match reaction
Gloucester head coach Johan Ackermann:
"First of all you have to give credit to Saracens, it's 15 men going out on the pitch and what you ask is for accuracy and that's exactly what they did.
"They were accurate in those scrums, they were accurate in the opportunities from the ball; defensively they were tremendous and tactically out-kicked us.
"They handled the pressure for the week well and you have to give that 23 players credit on how they dealt with it on the field - the best way is to play your best rugby and be physical, and they did it."
Saracens director of rugby Mark McCall:
"Over the past four weeks the squad have been amazing. Everybody knows how many players we have unavailable and the three performances before this one were grit and full of toughness, and I think we took grit and toughness to a whole new level today and it was a performance we can be proud of.
"I thought it was quite a quiet crowd today all things considered, but that's down to how the players performed.
"The decision [salary cap sanctions] came out and on Tuesday we talked about how everybody felt about it. There's a lot of questions that we need to answer internally about different scenarios, but we said from the get-go that all we can do is get on with the rugby and get on with getting the best out of this group.
"I couldn't be more proud of a group of staff and group of players who genuinely came together this week and they showed that unity on the field today."
Gloucester: Woodward; Marshall, Harris, Atkinson, Thorley; Cipriani, Braley; Hohneck, Marais, Balmain, Clarke, Grobler, Kriel, Ludlow, Morgan (capt).
Replacements: Fourie, Rapava Ruskin, Ford-Robinson, Ackermann, Polledri, Simpson, Twelvetrees, Banahan.
Saracens: Gallagher; Maitland, Taylor, Tompkins, Lewington; Manu Vunipola, Wigglesworth; Adams-Hale, Gray, Lamositele, Skelton, Isiekwe, Clark, Earl, Wray (capt).
Replacements: Singleton, Barrington, Wainwright, Kpoku, Hunter-Hill, Spencer, Lozowski, Segun.
Referee: Craig Maxwell-Keys.
- Rugby Weekly Union podcast - listen and subscribe here
- For the latest rugby union news follow @bbcrugbyunion on Twitter.


Historically, katana were one of the traditionally made Japanese swords that were used by the samurai of feudal Japan. The katana is characterized by its distinctive appearance: a curved, slender, single-edged blade with a circular or squared guard and long grip to accommodate two hands.
Facts about katana
- The first use of "katana" (gatana) as a word to describe a long sword that was different from a tachi occurs as early as the Kamakura Period (1185–1333)
- The length of the katana blade varied considerably during the course of its history. In the late 14th and early 15th centuries, katana blades tended to have lengths between 70 and 73 cm
- In Japan, from 1945 to 1953, sword manufacture and sword-related martial arts were banned. Many swords were confiscated and destroyed, and swordsmiths were not able to make a living.
- Pronounced [katana], the kun'yomi (Japanese reading) of the kanji, originally meaning dao or knife/saber in Chinese, the word has been adopted as a loanword by the Portuguese language.In Portuguese the designation (spelled catana) means "large knife" or machete.
- Ireland.Under the Firearms and Offensive Weapons Act 1990 (Offensive Weapons) Order 2009, katanas made post-1953 are illegal unless made by hand according to traditional methods.


Write the Docs Europe 2015 is just around the corner! Here are some last-minute updates and a few tips and tricks to help your planning.
Just a reminder to check out the Schedule page for a complete list of all our events and activities before, during, and after the conference.
The location closing meetup hosted by our friends at Elastic is now confirmed, and we're excited about it! We will gather at 7 PM at the amazing JazzDock music bar-on-a-boat, across the river from the main conference venue. Drinks, snacks, and an informal introduction to Elastic will be provided.
If you still need some information about traveling to Prague, where to stay, or how to get around, check out our Visiting Prague page for practical information.
Reminder: The currency in Czech Republic is Koruna (CZK). Exchange offices are available at the train station, airport, and various locations around the city.
Here are a few tips and guidelines to help you make the most out of the conference:
We'll have lightning talks each day after lunch. These are 5 minute presentations and a lot of fun. They can be about anything you want. This is your chance to share something you are passionate about with the audience. Slides are not required, we will post a sign-up sheet each morning where you can pitch your talk.
This is a private party just for conference attendees. Plan to attend so you can get to know folks in the community. We'll be at The PUB Praha 1 with a bunch of awesome free food and drinks.
We have a wonderful community full of diverse and amazing people. We expect everyone to behave in a respectful manner at all conference events. Our code of conduct boils down to "Be excellent to each other", but the full text is also available. Our cell phone numbers and email addresses are on that page if you ever need to contact us.
Don't worry about coffee before you come to the conference on Monday or Tuesday. Coffee and breakfast are served at 9:00, and the conference starts at 9:45.
Twitter is a great way to communicate at events. If you arrive to Prague early and want to find others, use the hash tag or tweet at @writethedocs. We can point you to something good.
This is the second year of Write the Docs Europe, and our community is growing. We have a fantastic venue in a beautiful city, and lots of interesting talks. Come ready to meet other people in the community, and have a great time.
We're happy to welcome our latest sponsors:
See you all in Prague!


This page ensures that WebKit can render unicode variation selector correctly. On platforms which support UVSes, the glyph of U+0061 should be a 0.2em high, 1em wide rectangle. On platforms which don't support UVSes, it should be a square. In addition, any glyphs (including the last resort glyph) should not appear after the glyph on all platforms.


App bar
There are a couple of app bars that you can choose from. There is a default and fixed option.
There are a couple of app bars that you can choose from. There is a default and fixed option.
The default app bar will scroll with the page.
For the default app bar you only need to add the .app-bar
class to an element.
The menu icon is used to trigger the menu.
The data-trigger
attribute must match the
id
of the navigation drawer.
The .app-bar-__title
contains the title of the page.
In the example a div
is used but a h1 - h6
element is also supported.
In the .app-bar__actions
section it is possible to add actions. Do note that you are responsible for hiding actions on mobile screens.

menu

App bar

person

.app-bar--fixed
class.

menu

App bar

person

| Scss | CSS | Result | |
|---|---|---|---|
| $app-bar-background | --app-bar-background | Change app bar background | |
| $app-bar-font-color | --app-bar-font-color | Change app bar font color | |
| $app-bar-height | --app-bar-height | Change app bar height | |
| $app-bar-padding | --app-bar-padding | Change app bar padding | |
| $app-bar__title-margin | --app-bar__title-margin | Change app bar title margin | |
| $app-bar__actions-margin | --app-bar__actions-margin | Change app bar actions margin |