#include <HashTable.h>
Public Member Functions | |
| HashTable (int length) | |
| virtual | ~HashTable () |
| ChainedList *const *const | getTable (void) const |
| int | getLength (void) const |
| int | getItemNumber (void) const |
| void | addItem (TreeNode *treeNode) |
| bool | removeItem (const Node *node) |
| virtual bool | isPresent (const Node *node) const |
| TreeNode * | getTreeNodeFromNode (const Node *node) |
Protected Member Functions | |
| int | h (const Node *node) const |
Protected Attributes | |
| ChainedList ** | table |
| int | length |
| int | itemNumber |
This hash table is a tab of N ChainedList of TreeNode (reuse of the processing tree pointer). when adding a TreeNode, the "H" function is used to make a position in the tab from the node.
| HashTable::HashTable | ( | int | length | ) |
Constructor
| HashTable::~HashTable | ( | ) | [virtual] |
Destructor
| ChainedList* const* const HashTable::getTable | ( | void | ) | const [inline] |
table of "length" chainedlist
| int HashTable::getLength | ( | void | ) | const [inline] |
length of table
| int HashTable::getItemNumber | ( | void | ) | const [inline] |
number of items stocked in the hashtable
| void HashTable::addItem | ( | TreeNode * | treeNode | ) |
Add an item into the table but don't test if it is already present
| treeNode | treeNode pointer we want to add to the hashTable |
| bool HashTable::removeItem | ( | const Node * | node | ) |
Delete an item from the table (if this item if several times in the table, we delete it only one time). It delete only listNode but pointer to treeNode stay in the tree
| node | Node we want to delete from the table |
| bool HashTable::isPresent | ( | const Node * | node | ) | const [virtual] |
Test if an Node is already present into the hashTable
| node | Node we want to test |
Reimplemented in BotA_HashTable.
Get a treenode pointer in hashtable from a node
| node | Node we want use to find treenode |
| int HashTable::h | ( | const Node * | node | ) | const [protected] |
Hashing function that use a node to compute an index number for the tab
| node | Node we want to compute |
ChainedList** HashTable::table [protected] |
Table of hashing
int HashTable::length [protected] |
Length of hashtable : number of cells
int HashTable::itemNumber [protected] |
Number of items in the table


9 Taliban militants killed, detained in Special Forces raids in Farah, Herat and Kabul
by Khaama PressThe Special Forces killed 5 Taliban militants and arrested 4 others during the operations in Farah, Herat and Kabul provinces.
The military officials said Sunday the Special Forces killed 5 Taliban militants and destroyed a cache of weapons in Pusht-e Rod district of Farah.
The officials further added that the Special Forces arrested 3 Taliban militants and destroyed a small cache of weapons during a similar raid in Ghoriyan district of Herat.
The Special Forces also arrested a Taliban militant during a raid in Chahar Asyab district of Kabul, the officials added.
The Taliban group has not commented regarding the operations so far.
Author
-
The Khaama Press News Agency is the leading and largest English news service for Afghanistan with over 3 million hits a month. Independent authors/columnists and experts are welcomed to contribute stories, opinions and editorials. Send stories to news@khaama.com.


Some relevant selections of
The Charter of
The United Nations
WE THE PEOPLE OF THE UNITED NATIONS DETERMINED
to save succeeding generations from the scourge of war, which twice in our lifetime has brought untold sorrow to mankind, and to reaffirm With in fundamental human rights, in the dignity and worth of the human person, in the equal rights of men and women, and of nations large and small, and to establish conditions under which justice and respect for the obligations arising from treaties and other sources of international law can be maintained, and to promote social progress and better standards of life in larger freedom....
The Organization and its Members, in pursuit of the Purposes stated in Article 1, shall act in accordance with the following Principles.
- The Organization is based on the principle of the sovereign equality of all its members....
-
All Members shall settle their international disputes by peaceful means in such a manner that international peace and security, and justice, are not endangered.
-
All Members shall refrain in their international relations from the threat or use of force against the territorial integrity or political independence of any state, or in any other manner inconsistent with the Purposes of the United Nations.
- The parties to any dispute, the continuance of which is likely to endanger the maintenance of international peace and security, shall, first of all, seek a solution by negotiation, enquiry, mediation, conciliation, arbitration, judicial settlement, resort to regional agencies or arrangements, or other peaceful means of their own choice.
- The Security Council shall, when it deems necessary, call upon the parties to settle their disputes by such means.
Index
WWW URL: http://deoxy.org/wc-un.htm
The Commission of Inquiry for the International War Crimes Tribunal


- User activities
- High volume
- High availability
## An example
- Retention analysis
- Cohort by birth time
- Age by week
- Compute retention
## SQL-based approach example
Generalized Cohort Analysis
## Generalized cohort analysis example 1
- Birth sequence: a certain number of purchase event
- Age by week
- Retention is computed for cohorts consisting of users who having performed a certain number of purchases
## Generalized cohort analysis example 2
- An empty birth sequence
- Age by the number of purchases performed
- Compute the average time duration between the current purchase and the last one


If you want to manage photos taken with another device, you must first register the same user on both this and the other device
cancel delete


|
T3Vtech
|
#include <software_rasterizer.hpp>
Public Member Functions | |
| software_rasterizer (SDL_Window *window) | |
| ~software_rasterizer () | |
| void | render (t3v::vertex *vertices, const int num_vertices, t3v::texture *texture, glm::vec3 &pos, glm::mat4 &rotation_mat) |
| void | update () |
| Public Member Functions inherited from t3v::renderer | |
| renderer () | |
| ~renderer () | |
| virtual void | render () |
Additional Inherited Members | |
| Public Attributes inherited from t3v::renderer | |
| glm::mat4 | m_projection_mat |
| float | m_fov =90 |
| float | m_near_z_clip =0.1 |
| float | m_far_z_clip =1000 |
| int | m_resx =0 |
| int | m_resy =0 |
Definition at line 7 of file software_rasterizer.hpp.
| t3v::software_rasterizer::software_rasterizer | ( | SDL_Window * | window | ) |
Definition at line 4 of file software_rasterizer.cpp.
| t3v::software_rasterizer::~software_rasterizer | ( | ) |
Definition at line 71 of file software_rasterizer.cpp.
| void t3v::software_rasterizer::render | ( | t3v::vertex * | vertices, |
| const int | num_vertices, | ||
| t3v::texture * | texture, | ||
| glm::vec3 & | pos, | ||
| glm::mat4 & | rotation_mat | ||
| ) |
Definition at line 3 of file render_call.cpp.
|
virtual |
Reimplemented from t3v::renderer.
Definition at line 87 of file software_rasterizer.cpp.


US man receives double lung transplant after organs damaged by vaping
by Associated PressMore than 2,000 Americans who vape have become sick since March, and at least 40 people have died
Doctors at a Detroit hospital have performed a double lung transplant on a man whose lungs were damaged from vaping.
No other details of the transplant were released on Monday by Henry Ford Health System, which scheduled a news conference for Tuesday.
The patient asked his medical team to share photographs and an update to warn others about vaping.
More than 2,000 Americans who vape have become sick since March, many of them teenagers and young adults, and at least 40 people have died.
The Centers for Disease Control and Prevention last week announced a breakthrough into the cause of a vaping illness outbreak, identifying a chemical compound as a “very strong culprit”.
Vitamin E acetate previously was found in liquid from electronic cigarettes and other vaping devices used by many who got sick and only recently has been used as a vaping fluid thickener.
Many who got sick said they had vaped liquids that contain THC, the high-inducing part of marijuana.


Dialog Print
The following options enable you to specify how the document should be printed:
Select Printer
The active printer and printer port are displayed here. Choose the Setup tab to change the printer and the printer port.
Setup
Displays a
Print Setup dialog box in which you can choose a printer and a printer port.
Page Range
Specify the pages that you wish to print out:
| All |
Prints the entire document |
| Selection |
Prints the highlighted text |
| Pages |
Prints the range of pages that you specify in the fields ”From” and ”To”. |
Number of copies
Specify how many copies of the defined page range should be printed.
Collate
Prints the copies in the sequence of the page numbers rather than separately printing several copies for each page.
Print Quality
Specifies the print quality. Generally, the lower the print quality the faster it is to print a document.


Pymaceuticals
Home
(current)
Comparisons
Data
Plots
Tumor Change
Metastasis
Tumor Response
Survival
Comparisons


Backstretch is a simple jQuery plugin that allows you to add a dynamically-resized, slideshow-capable background image to any page or element. The image will stretch to fit the page/element, and will automatically resize as the window/element size changes.
There are a couple of examples included with this package, or feel free to check it out live on the project page itself.
Include the jQuery library (version 1.7 or newer) and Backstretch plugin files in your webpage (preferably at the bottom of the page, before the closing BODY tag):
<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script>
<script src="jquery.backstretch.min.js"></script>
<script>
// To attach Backstrech as the body's background
$.backstretch("path/to/image.jpg");
// You may also attach Backstretch to a block-level element
$(".foo").backstretch("path/to/image.jpg");
// Or, to start a slideshow, just pass in an array of images
$(".foo").backstretch([
"path/to/image.jpg",
"path/to/image2.jpg",
"path/to/image3.jpg"
], {duration: 4000});
</script>
| Name | Description | Type | Default |
|---|---|---|---|
centeredX |
The ratio of the width/height of the image doesn’t always jive with the width/height of the window. This parameter controls whether or not we center the image on the X axis to account for the discrepancy. | Boolean | true |
centeredY |
This parameter controls whether or not we center the image on the Y axis to account for the aforementioned discrepancy. | Boolean | true |
fade |
This is the speed at which the image will fade in. Integers in milliseconds are accepted, as well as standard jQuery speed strings (slow, normal, fast). | Integer or String | 0 |
duration |
The amount of time in between slides, when using Backstretch as a slideshow, expressed as the number of milliseconds. | Integer | 5000 |
Once you’ve instantiated a Backstretch slideshow, there are many actions that you can perform it:
// Start a slideshow
$('.foo').backstretch([
'path/to/image.jpg',
'path/to/image2.jpg',
'path/to/image3.jpg'
]);
// Pause the slideshow
$('.foo').backstretch("pause");
// Advance to the next slide
$('.foo').backstretch("next");
| Method | Description |
|---|---|
.backstretch("show", n) |
Jump to the slide at a given index, where n is the number of the image that you’d like to display. Slide number starts at 0. |
.backstretch("prev") |
Display the previous image in a slideshow. |
.backstretch("next") |
Advance to the next image in a slideshow. |
.backstretch("pause") |
Pause the slideshow. |
.backstretch("resume") |
Resume a paused slideshow. |
.backstretch("destroy", preserveBackground) |
Destroy the Backstretch instance. Optionally, you can pass in a Boolean parameter, preserveBackground, to determine whether or not you’d like to keep the current image stretched as the background image. |
.backstretch("resize") |
This method is called automatically when the container (window or block-level element) is resized, however you can always call this manually if needed. |
Sometimes, you’ll want to access Backstretch’s images after you’ve instantiated the plugin. For example, perhaps you’d like to be able add more images to a slideshow. Doing so is easy. You can access the images array as follows:
$('.foo').backstretch([
'path/to/image.jpg',
'path/to/image2.jpg',
'path/to/image3.jpg'
]);
// Access the instance
var instance = $('.foo').data('backstretch');
// Then, you can manipulate the images array directly
instance.images.push('path/to/image4.jpg')
Additionally, the current index of a slideshow is available through the instance as well:
$("body").data("backstretch").index;
Backstretch will fire a “backstretch.before” event before a new image loads, triggering a function that is passed the event, Backstretch instance, and index of the image that will be displayed. If you listen for that event, you can, for example, coordinate other changes to coincide with your slideshow.
$(window).on("backstretch.before", function (e, instance, index) {
// If we wanted to stop the slideshow after it reached the end
if (index === instance.images.length - 1) {
instance.pause();
};
});
Backstretch will also fire a “backstretch.after” event after the new images has completed loading.
$(window).on("backstretch.after", function (e, instance, index) {
// Do something
});


DistributedRobotWorld
src
Namespaces
|
Typedefs
Region.hpp File Reference
#include "wx/region.h"
Include dependency graph for Region.hpp:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Namespaces
Widgets
Typedefs
typedef wxRegion
Widgets::Region
Generated by
1.8.14


counteracts joint generation
joint max x/y or y/x
joint max child base/parent tip
joint max cx/rx or cy/ry
joint max x, y over bonelength
joint max ( tip-base )/length
joint min ( tip-base )/length
include close relatives
else by position


A Beautiful Calculator App
Made with
By Agi Rohey a Student at Jcc
copyright © jcc 2019
A Beautiful Calculator App
MS
DEL
(
)
AC
%
H
7
8
9
4
5
6
1
2
3
0
.
Made with
By Agi Rohey a Student at Jcc
copyright © jcc 2019


Healthify
Download App
Healthify for Doctors
Login/Sign Up
Dashboard
Appointments
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Questions
Inbox
Dashboard
26
Appointments
2600
Payments Received
Upload Prescription
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Patients History


I am a very young software engineer, while I am a proficient full-stack developer, I would like to have an expertise in software architecture, building satifying products for clients, and resolving companies big machine problems.
I love building things. While hard engineering problems are often intrinsically fun to tackle, I'm most attracted to solving real customer problems with a logic justification. I'm looking for a junior individual contributor role where I can take on on collaborative team, and gain experience with architecture and project management.
View ResumeThis is a chatroom implemented as my midterm project. It has a lot of features such as registering, adding friend and chatting with loved ones anywhere in the world. You can check on the live or take a look at the source code.
This is a web app build upon the need to help you develop your drawing skills. It has quite few features. You can check it out, by seeing the live session or take a look a the source code.
This project is a startup where I lead the role of Developer. Our aim is to recruite Teachers for English institution located in Taiwan. Check out the live, feel free to customize the code at your will.
+886 90-909-7544
Send an email


| View source on GitHub |
TPUConfig
TPU related configuration required by TPUEstimator
.
iterations_per_loop
: This is the number of train steps running in TPU
system before returning to CPU host for each Session.run
. This means
global step is increased iterations_per_loop
times in one Session.run
.
It is recommended to be set as number of global steps for next checkpoint.
Note that in evaluation don't use this value, instead we run total eval
steps
on TPU for a single Session.run
.
[Experimental]: iterations_per_loop
can be specified as a time interval.
To specify N seconds in one Session.run
, one can specify it as Ns
and
substitute the N with the N with the number of desired seconds.
Alternatively, the unit of time can also be specified in minutes or hours,
e.g. 3600s
or 60m
or 1h
.num_shards
: (Deprecated, ignored by TPUEstimator).
The number of model replicas in the system. For non-model-parallelism
case, this number equals the total number of TPU cores. For
model-parallelism, the total number of TPU cores equals
num_cores_per_replica * num_shards.num_cores_per_replica
: Defaults to None
, which disables model parallelism.
An integer which describes the number of TPU cores per model replica. This
is required by model-parallelism which enables partitioning
the model to multiple cores. Currently num_cores_per_replica must be
1, 2, 4, or 8.per_host_input_for_training
: If True
, for PER_HOST_V1
, the input_fn
is
invoked once on each host, and the number of hosts must be smaller or
equal to the number of replicas. For PER_HOST_V2, the input_fn
is
invoked once for each host (if the number of hosts is less than the number
of replicas) or replica (if the number of replicas is less than the number
of hosts. With the per-core input pipeline configuration, it is invoked
once for each core.
With a global batch size train_batch_size
in TPUEstimator
constructor,
the batch size for each shard is train_batch_size
// #hosts in the
True
or PER_HOST_V1
mode. In PER_HOST_V2
mode, it is
train_batch_size
// #cores. In BROADCAST
mode, input_fn
is only
invoked once on host 0 and the tensors are broadcasted to all other
replicas. The batch size equals to train_batch_size
. With the per-core
input pipeline configuration, the shard batch size is also
train_batch_size
// #cores.
Note: per_host_input_for_training==PER_SHARD_V1 only supports mode.TRAIN.tpu_job_name
: The name of the TPU job. Typically, this name is auto-inferred
within TPUEstimator, however when using ClusterSpec propagation in more
esoteric cluster configurations, you may need to specify the job name as a
string.initial_infeed_sleep_secs
: The number of seconds the infeed thread should
wait before enqueueing the first batch. This helps avoid timeouts for
models that require a long compilation time.input_partition_dims
: A nested list to describe the partition dims
for all the tensors from input_fn(). The structure of
input_partition_dims must match the structure of features
and
labels
from input_fn(). The total number of partitions must match
num_cores_per_replica
. For example, if input_fn() returns two tensors:
images with shape [N, H, W, C] and labels [N].
input_partition_dims = [[1, 2, 2, 1], None] will split the images to 4
pieces and feed into 4 TPU cores. labels tensor are directly broadcasted
to all the TPU cores since the partition dims is None
.
Current limitations: This feature is only supported with the PER_HOST_V2
input mode.eval_training_input_configuration
: If SLICED
, input_fn
is only
invoked once on host 0 and the tensors are broadcasted to all other
replicas. Unlike per_host_input_for_training=BROADCAST, each replica will
only get a slice of the data instead of a whole copy. If PER_HOST_V1
,
the behaviour is determined by per_host_input_for_training.experimental_host_call_every_n_steps
: Within a training loop, this argument
sets how often host calls are performed during training. Host calls will
be evaluated every n steps within a training loop where n is the value of
this argument.ValueError
: If num_cores_per_replica
is not 1, 2, 4, 8, ..., 128.__new__
@staticmethod __new__( cls, iterations_per_loop=2, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=True, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=InputPipelineConfig.PER_HOST_V1, experimental_host_call_every_n_steps=1 )
Create new instance of TPUConfig(iterations_per_loop, num_shards, num_cores_per_replica, per_host_input_for_training, tpu_job_name, initial_infeed_sleep_secs, input_partition_dims, eval_training_input_configuration, experimental_host_call_every_n_steps)
iterations_per_loop
num_shards
num_cores_per_replica
per_host_input_for_training
tpu_job_name
initial_infeed_sleep_secs
input_partition_dims
eval_training_input_configuration
experimental_host_call_every_n_steps


Dear Sir, I work with a Bank called IBTC in my country, in the foreign exchange department, and I'm the deputy head of my department. Our major objective is the operation of foreign accouunts for states and highly placed citizens of my country and other countries, especially those at the helm of affairs, and successful business men.We also make sure the Forex market is well controlled and checked. One of those highly and successfully placed citizen is Joseph Nanven Garba, (Major General Rtd). Until his demise, he held sensitive positions in the military, and diplomat seat, one of the office he held , was the position of the personal assistant to the U.N secretary general, Koffi Annan. His death was a shock to the entire nation, the man in quote operates several foreign accounts in our department which I mannage myself due to his position in the country. Such operations of accounts is called "Private Banking" where the deposits will only be known to the owner of the acounts and officer of the bank in charge. Normally,65% of the total deposit is supposed to be turned into the Federal Government account and 30%, 5% given to the family and bank respectively. This is what the banking law and policy of my country states, When this is achieved i.e transfer of the Federal Government account part, the people at the corridors of power withdraw these funds, under the disguise of security issues but make use of theseFunds for their personal and family use. This is a case of injustice on the officer in charge of the account and the family of the deceased. So I released the code of the account partly totaling just 50% of the initial deposit. Since the code of the account is in between me and the deceased the fear of being checked is ruled out but I cannot make withdrawals from this account myself and that is where you come in. All you need to do for this transaction is to follow the procedure binding this contract together and I guarantee you it’s risk free. However your suggestions will be appreciated. Regards Wale F. Williams NB Alternatively you sent your reply through wale.caramail.com -- Ziskejte kvalitu, kterou si zasluhujete. Za minimalni mesicni poplatek vam nabizime Antivir, Antispam nebo dalsi kapacitu pro vas Mailbox. Vice na: http://sluzby.volny.cz/product/postpaid/


Hello guys, i have a problem with the new version of the plugin. I tell them, just download the new plugin, but now I try to tell me logear Mail or Password error, any ideas?.
xXJumpyXx
Helping Hand
If you're talking about not being able to login to Battlelog then I have the same problem.
It's not BBLog causing it, I'm not sure what is.
EDIT: I guess the EA servers were having fun trolling, I can login again now :)
Nano
Global Moderator
xXJumpyXx wrote:
If you're talking about not being able to login to Battlelog then I have the same problem.
It's not BBLog causing it, I'm not sure what is.
EDIT: I guess the EA servers were having fun trolling, I can login again now :)
Same here.
José Ortega
Global Moderator
There is nothing to do with BBLog, EA servers just... died for a few minutes.
I hope you can access to your Battlelog account again.


The search window can be activated by pressing CMD/CTRL f
, or via the menu bar.
After entering a few characters, search results start to appear below.
The search results are organized as a keyword-in-context (KWIC) list:
The found string is shown in the center (and bold), accompanied by left and right context.
Individual findings can be selected with mouse and keyboard. If one or more finding is selected, the buttons on the left become active. They allow three operations:
The search interface can be used with regular expressions, making it very powerful. Regular expressions allow the definition of patterns involving some variability. They can become very complex, as the full range of Java-based regular expressions can be used.
As a quick reference, the following table contains the most important bits:
| Symbol | Description | Example Expression | Example Findings |
|---|---|---|---|
. | Matches any single symbol | d.g | "dog", "deg", "d g", ... |
[ ] | Matches any of the characters in brackets alternatively | b[au]nk | "bank", "bunk" |
[^ ] | Matches none of the characters in brackets | a[^bc]*d | "ad", "aefghd", "axd" |
? | Makes the preceding character optional | s?he | "she", "he" |
* | Matches the preceding character 0 or more times | dog* | "do", "dog", "dogg", "doggg", ... |
The following list shows a few examples that are useful for annotation purposes:
\b[^a]+\b
: Find words that do not contain the letter "a"\bdogs?\b
: Find singular and plural forms of the word "dog"\b[A-Z][a-z]*\b
: Find words starting with upper case


Dashboard
NEW
Theme
Colors
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Components
Base
Breadcrumb
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Tabs
Tooltips
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Buttons
Brand Buttons
Buttons Group
Dropdowns
Loading Buttons
PRO
Charts
Editors
Code Editor
PRO
Markdown
PRO
Rich Text Editor
PRO
Forms
Basic Forms
Advanced
PRO
Validation
PRO
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PRO
Icons
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Free
CoreUI Icons - Brand
CoreUI Icons - Flag
Notifications
Alerts
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Toastr
PRO
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PRO
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PRO
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PRO
Tables
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DataTables
PRO
Widgets
NEW
Extras
Pages
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Error 404
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Apps
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Invoice
PRO
Email
Inbox
PRO
Message
PRO
Compose
PRO
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Label danger
Label info
Label warning
System Utilization
CPU Usage
348 Processes. 1/4 Cores.
Memory Usage
11444GB/16384MB
SSD 1 Usage
243GB/256GB
Today
Meeting with
Lucas
1 - 3pm
Palo Alto, CA
Skype with
Megan
4 - 5pm
On-line
Tomorrow
New UI Project -
deadline
10 - 11pm
creativeLabs HQ
#10 Startups.Garden
Meetup
1 - 3pm
Palo Alto, CA
Team meeting
4 - 6pm
creativeLabs HQ
Lukasz Holeczek
1:52 PM
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Settings
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Option 2
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Option 3
Option 4
System Utilization
CPU Usage
348 Processes. 1/4 Cores.
Memory Usage
11444GB/16384MB
SSD 1 Usage
243GB/256GB
SSD 2 Usage
25GB/256GB
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User deleted
Sales report is ready
New client
Server overloaded
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Memory Usage
11444GB/16384MB
SSD 1 Usage
243GB/256GB
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You have 5 pending tasks
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 The [syntax page] [s] provides complete, detailed documentation for every feature, but Markdown should be very easy to pick up simply by looking at a few examples of it in action. The examples on this page are written in a before/after style, showing example syntax and the HTML output produced by Markdown. It's also helpful to simply try Markdown out; the [Dingus] [d] is a web application that allows you type your own Markdown-formatted text and translate it to XHTML. **Note:** This document is itself written using Markdown; you can [see the source for it by adding '.text' to the URL] [src]. [s]: /projects/markdown/syntax "Markdown Syntax" [d]: /projects/markdown/dingus "Markdown Dingus" [src]: /projects/markdown/basics.text ## Paragraphs, Headers, Blockquotes ## A paragraph is simply one or more consecutive lines of text, separated by one or more blank lines. (A blank line is any line that looks like a blank line -- a line containing nothing but spaces or tabs is considered blank.) Normal paragraphs should not be indented with spaces or tabs. Markdown offers two styles of headers: *Setext* and *atx*. Setext-style headers for `<h1>` and `<h2>` are created by "underlining" with equal signs (`=`) and hyphens (`-`), respectively. To create an atx-style header, you put 1-6 hash marks (`#`) at the beginning of the line -- the number of hashes equals the resulting HTML header level. Blockquotes are indicated using email-style '`>`' angle brackets. Markdown: A First Level Header ==================== A Second Level Header --------------------- Now is the time for all good men to come to the aid of their country. This is just a regular paragraph. The quick brown fox jumped over the lazy dog's back. ### Header 3 > This is a blockquote. > > This is the second paragraph in the blockquote. > > ## This is an H2 in a blockquote Output:
A First Level Header

A Second Level Header

Now is the time for all good men to come to the aid of their country. This is just a regular paragraph.

The quick brown fox jumped over the lazy dog's back.

Header 3

This is a blockquote.

This is the second paragraph in the blockquote.

This is an H2 in a blockquote

 ### Phrase Emphasis ### Markdown uses asterisks and underscores to indicate spans of emphasis. Markdown: Some of these words *are emphasized*. Some of these words _are emphasized also_. Use two asterisks for **strong emphasis**. Or, if you prefer, __use two underscores instead__. Output:
Some of these words are emphasized. Some of these words are emphasized also.

Use two asterisks for strong emphasis. Or, if you prefer, use two underscores instead.
 ## Lists ## Unordered (bulleted) lists use asterisks, pluses, and hyphens (`*`, `+`, and `-`) as list markers. These three markers are interchangable; this: * Candy. * Gum. * Booze. this: + Candy. + Gum. + Booze. and this: - Candy. - Gum. - Booze. all produce the same output:

Candy.

Gum.

Booze.

 Ordered (numbered) lists use regular numbers, followed by periods, as list markers: 1. Red 2. Green 3. Blue Output:

Red

Green

Blue

 If you put blank lines between items, you'll get `<p>` tags for the list item text. You can create multi-paragraph list items by indenting the paragraphs by 4 spaces or 1 tab: * A list item. With multiple paragraphs. * Another item in the list. Output:

A list item.

With multiple paragraphs.

Another item in the list.

 ### Links ### Markdown supports two styles for creating links: *inline* and *reference*. With both styles, you use square brackets to delimit the text you want to turn into a link. Inline-style links use parentheses immediately after the link text. For example: This is an [example link](http://example.com/). Output:
This is an  example link.
 Optionally, you may include a title attribute in the parentheses: This is an [example link](http://example.com/ "With a Title"). Output:
This is an  example link.
 Reference-style links allow you to refer to your links by names, which you define elsewhere in your document: I get 10 times more traffic from [Google][1] than from [Yahoo][2] or [MSN][3]. [1]: http://google.com/ "Google" [2]: http://search.yahoo.com/ "Yahoo Search" [3]: http://search.msn.com/ "MSN Search" Output:
I get 10 times more traffic from Google than from Yahoo or MSN.
 The title attribute is optional. Link names may contain letters, numbers and spaces, but are *not* case sensitive: I start my morning with a cup of coffee and [The New York Times][NY Times]. [ny times]: http://www.nytimes.com/ Output:
I start my morning with a cup of coffee and The New York Times.
 ### Images ### Image syntax is very much like link syntax. Inline (titles are optional): ![alt text](/path/to/img.jpg "Title") Reference-style: ![alt text][id] [id]: /path/to/img.jpg "Title" Both of the above examples produce the same output:  ### Code ### In a regular paragraph, you can create code span by wrapping text in backtick quotes. Any ampersands (`&`) and angle brackets (`<` or `>`) will automatically be translated into HTML entities. This makes it easy to use Markdown to write about HTML example code: I strongly recommend against using any `<blink>` tags. I wish SmartyPants used named entities like `—` instead of decimal-encoded entites like `—`. Output:
I strongly recommend against using any <blink> tags.

I wish SmartyPants used named entities like — instead of decimal-encoded entites like —.
 To specify an entire block of pre-formatted code, indent every line of the block by 4 spaces or 1 tab. Just like with code spans, `&`, `<`, and `>` characters will be escaped automatically. Markdown: If you want your page to validate under XHTML 1.0 Strict, you've got to put paragraph tags in your blockquotes:

For example.

 Output:
If you want your page to validate under XHTML 1.0 Strict, you've got to put paragraph tags in your blockquotes:

For example.

 ## Fenced code blocks (and syntax highlighting) ```javascript for (var i = 0; i < items.length; i++) { console.log(items[i], i); // log them } ```


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Chapter 3 Construction
3.1 Graph factorisations
A graph \(G(V,E)\) consists of two sets. The first \(V\), is called the vertex-set, while the other \(E\) consists of unordered pairs of \(V\) and is called the edge set. Usually graphs are represented with diagrams where the members of \(V\) are drawn as points and the members of \(E\) as lines connecting points. Adjacency for two vertices means being connected by an edge. The complete graph \(K_n\) is the graph on \(n\) vertices in which all distinct vertices are adjacent.
##
## Attaching package: 'igraph'
## The following objects are masked from 'package:stats':
##
## decompose, spectrum
## The following object is masked from 'package:base':
##
## union
A one-factor \(f_i\) is a set of edges in which each vertex appears exactly once.
<IP_ADDRESS> Example 2.1.1
Two possible one-factors of \(K_4\) are: \[f_1 = \{12,34\}, f_2 = \{13,24\}\] Figure 10 Two one-factors of \(K_4\)
A one-factorisation of the complete graph is a set of one-factors in which all possible edges (i.e. all unordered pairs from the edge-set) appear exactly once.
<IP_ADDRESS> Example 2.1.2
Here \(G = K_6\) the complete graph on 6 vertices with \[V = \{1, 2, 3, 4, 5, 6\}\] \[E = \{12, 13, 14, 15, 16, 23, 24, 25, 26, 34, 35, 36, 45, 46, 56\}\] The one-factors are \[f_1 = \{12, 35, 46\} \hspace{0.5cm} f_2 = \{14, 23, 56\} \hspace{0.5cm} f_3 = \{16, 25, 34\} \hspace{0.5cm} f_4 = \{13, 26, 45\} \hspace{0.5cm} f_5 = \{15, 24, 36\}\] because \(f_1 \cup f_2 \cup f_3 \cup f_4 \cup f_5 = E\) \(F = \{f_1, f_2, f_3, f_4, f_5\}\) is a one-factorisation of \(G\) shown in Figure 11.
E(g)[c(1, 11, 14)]$color <- "red"
E(g)[c(3, 6, 15)]$color <- "blue"
E(g)[c(5, 8, 10)]$color <- "green"
E(g)[c(2, 9, 13)]$color <- "yellow"
E(g)[c(4, 7, 12)]$color <- "black"
plot(g, layout = layout_in_circle(g), vertex.color = "white", vertex.size = 20)
Two one factors \(f\) and \(l\) are said to be orthogonal if \(f \cap l\) contains at most one edge. Two one-factorisations \(F\) and \(L\) are orthogonal if every one-factor in \(F\) is orthogonal to every one-factor in \(L\).
Once again consider the square array in Figure 2. If the individual elements within the array constituted the vertex set of a graph (call it \(R\)) and the pairs within each box of the array were edges, we know that each row is a one-factor and each column is a one-factor (because each member of \(R\) occurs precisely once in each row and once in each column). Further more, because all edges from the edge-set of the complete graph (i.e. all unordered pairs from \(R\)) appear once within the array, we know that the rows together form a one-factorisation and the columns form another, different, one-factorisation of \(K_8\). Also, because any row factor intersects any column factor in only one pair (edge), all the row factors are orthogonal to all the column factors and hence the two one-factorisations are orthogonal. We have demonstrated the following theorem, given in [8] and proven in [19].
<IP_ADDRESS> Theorem 2.1.1
The existence of a Room square of side \(n\) is equivalent to the existence of two orthogonal one-factorisations of the complete graph \(K_{n+1}\).
An example is given in figure 12 based on the Room square in Figure 2.
Figure 12 Two orthogonal one-factorisations of \(K_8\) based on Kirkman’s square of 1850.
3.2 Hill-Climbing Algorithm for Room Squares
The idea behind Hill-climbing algorithms is to suppose there exists a neighbourhood of feasible solutions to some problem instance. With each feasible solution there is an associated cost (or profit) and finding an optimal solution becomes a matter of finding the solution with minimum cost (or maximum profit).
A hill-climbing algorithm non-deterministically selects a solution from the neighbourhood system such that the cost is less than that of some initial solution until its procedure fails, hence finding the locally optimal solution.
3.2.1 An algorithm for One-Factorisations
Consider how to find a one-factorisation of the complete graph. Here the
problem instance is simply the even integer \(n\) and vertex set \(V\).
Recall:
A one-factor of \(K_n\) is a set of \(n/2\) edges (hence \(n\) is even) which partition \(V\).
A one-factorisation of \(K_n\) is a set of \(n-1\) one-factors which partitions the edge set of \(K_n\).
Suppose we choose to represent a one-factorisation by a set of \(\frac{n}{2}(n-1)=(n^2-n)/2\) pairs each of the form \((f_i,\{x,y\})\), where \(x \neq y, i=1...n-1\), and the following two conditions hold.
Every \(\{x,y\}\) occurs in a unique pair \((f_i,\{x,y\})\).
For every one-factor \(f_i\) and every vertex \(x\), there is a unique pair of the form \((f_i,\{x,y\})\).
where \(f_i\)s are one-factors.
Then we consider a feasible solution to be a partial one-factorisation, again represented by pairs having the same form but this time,
Every \(\{x,y\}\) occurs in at most one pair \(f_i,\{x,y\})\).
For every one-factor \(f_i\) and every vertex \(x\) there is at most one pair of the form \((f_i,\{x,y\})\).
Where the \(f_i\)s are partial one-factors.
Which enables a definition for the cost of a feasible solution \(F\) to be given by: \[c(F) = (n^2-n)/2-|F|\] So that \(F\) is a one-factorisation if and only if \(c(F)=0\), i.e. \(|F|=(n^2-n)/2\)
Now suppose that we can implement some procedure \(X\), say, which either reduces the cost or leaves it unaffected (i.e. it never increases the cost) then the following “hill-climbing” algorithm, provided it terminates, will find a one-factorisation.
| While \(c(F) \neq 0\) | |
| Do \(X\) |
A procedure such as \(X\) is called a heuristic. The following two heuristics (due to Dinitz & Stinson [9]) when used together are suitable for finding a one-factorisation.
Let \(F\) be a partial one-factorisation of \(K_n\):
Heuristic \(H_1\) [8]
Choose any vertex \(x\) such that \(x\) does not occur in every partial one-factor of \(F\) (such a vertex is said to be a live point).
Choose any partial one-factor \(f_i\) such that \(x\) does not occur in \(f_i\).
Choose any \(y \neq x\) such that there is no partial one-factor \(f_j\) for which \((f_j,\{x,y\}) \in F\) (we say that \(x\) and \(y\) do not occur together).
if \(y\) does not occur in \(f_i\), then
\(\hspace{1cm}\) Replace \(F\) with \(F \cup \{(f_i,\{x,y\})\}\).
Else there is a pair in \(F\) of the form \((f_i,\{z,y\}) \hspace{0.5cm} (z \neq x)\)
\(\hspace{1cm}\) Replace \(F\) with \(F \cup \{(f_i,\{x,y\})\} \backslash \{(f_i,\{z,y\})\}\).
Heutistic \(H_2\) [8]
Choose any partial one-factor \(f_i\) which does not occur in exactly \(n/2\) pairs in \(F\) (such a partial one-factor is said to be live).
Choose any \(x\) and \(y\) such that \(x\) and \(y\) do not occur together in \(f_i\).
if \(x\) and \(y\) do not occur together, then
\(\hspace{1cm}\) Replace \(F\) with \(F \cup \{(f_i,\{x,y\})\}\).
Else there is a pair in \(F\) of the form \((f_j,\{x,y\}) \hspace{0.5cm} (j \neq i)\)
\(\hspace{1cm}\) Replace \(F\) with \(F \cup \{(f_i,\{x,y\})\} \backslash \{(f_j,\{x,y\})\}\).
<IP_ADDRESS> Example
Suppose we are in the process of trying to find a one-factorisation for \(K_6\), and have generated a partial one-factorisation represented by the set \(F\). \[F=\{(f_1,\{4,6\}),(f_1,\{3,5\}),(f_2,\{5,6\}),(f_3\{1,6\}), (f_3\{3,4\}),(f_4,\{2,3\}),(f_4,\{4,5\})\}\] Now apply \(H_1\):
Choose \(x=2\). Live, because it doesn’t appear in \(f_1,f_2,f_3\) or \(f_5\).
Of these four partial one factors, choose \(f_1\).
2 only occurs together with 3 (in \(f_4\)), so pick \(y=5\).
5 already appears in \(f_1\) so \(\{z,y\}=\{3,5\}\). So replace \(F\) by \(F \cup \{(f_1,\{2,5\}) \backslash (f_1,\{3,5\})\}\)
So we have extracted one edge from the one-factorisation and replaced it with another edge, leaving the cost unchanged. If in 3. we had picked 1 then according to the heuristic we should replace \(F\) with \(F \cup (f_1,\{2,1\})\), increasing \(|F|\) by one, and so decreasing the cost by the same. Because the cost cannot increase \(H_1\) is a suitable heuristic for use in a hill-climbing algorithm.
Now apply \(H_2\) to the new one-factorisation \(F_1=F \cup (f_1,\{2,1\})\)
We can pick any of \(f_2, f_3, f_4, f_5\), because all are live. Choose \(f_2\).
Choose \(x=2, y=3\), because neither appear in \(f_2\).
2 and 3 occur together in \(f_4\). So replace \(F_1\) with \(F_1 \cup \{(f_2,\{2,3\}) \backslash (f_4,\{2,3\})\}\)
Again the cost remains unchanged by this procedure, and if in 2. we had chosen \(x=1,y=4\) instead then we would have replaced \(F_1\) with \(F_1 \cup \{(f_2,\{1,4\})\}\) decreasing the cost by one. As with \(H_1\), the cost cannot increase, which makes \(H_2\) a suitable heuristic. The hill-climbing algorithm for constructing one-factorisations which was first given in [9] has a very simple form.
While \(c(F) \neq 0\), do
choose \(r=1\) or \(r=2\) with equal probability
perform \(H_r\)
3.2.2 An Algorithm for Room Squares
To generate a Room square all that remains is to produce another one-factorisation \(G\), say, which is orthogonal to \(F\). This will inevitably require slight modifications to be made to \(H_1\) and \(H_2\). Now if an array \(R\) is constructed in which the rows are labelled with the one-factors of \(F(f_1,f_2,...,f_{n-1})\), and the columns are labelled with the partial one-factors of \(G(g_1,g_2,...,g_{n-1})\). Then \(R\) will be a Room square if the \((f_i,g_j)\) cell contains \(\{x,y\}\), if and only if \((f_i,\{x,y\}) \in F\) and \((g_j,\{x,y\}) \in G\) and is empty otherwise.
Again these two heuristics are due to Dinitz & Stinson and originally presented in [9]. Although a necessary correction has been made as will become apparent.
\(OH_1\)
Choose any live point \(x\).
Choose any partial one-factor \(g_i\) such that \(x\) does not occur in \(g_i\).
Choose any \(y \neq x\) such that \(x\) and \(y\) do not occur together in \(G\).
Let \(f_j\) be the one-factor of \(F\) which contains the edge \(\{x,y\}\).
if \(R(f_j,g_i)\) is not empty then
\(OH_1\) fails.
Else if \(y\) does not occur in \(g_i\), then
\(\hspace{1cm}\) Replace \(G\) by \(G \cup (g_i,\{x,y\})\).
\(\hspace{1cm}\) Define \(R(f_j,g_i)=\{x,y\}\).
Else there is a pair in \(G\) of the form \((g_i,\{z,y\}) \hspace{0.5cm} z \neq x\).
\(\hspace{1cm}\) Replace \(G\) by \(G \cup (g_i,\{x,y\}) \backslash (g_i,\{z,y\})\).
\(\hspace{1cm}\) Define \(R(f_k,g_i)\), to be empty\(^i\), where \((f_k,\{z,y\}) \in F\).
\(OH_2\)
Choose any live partial one-factor \(g_i\).
Choose any \(x\) and \(y \neq x\) such that \(x\) and \(y\) do not occur together in \(g_i\).
Let \(f_j\) be the one-factor of \(F\) which contains the edge \(\{x,y\}\).
if \(R(f_j,g_i)\) is not empty then
\(OH_2\) fails.
Else if \(x\) and \(y\) do not occur together, then
\(\hspace{1cm}\) Replace \(G\) by \(G \cup (g_i,\{x,y\})\).
\(\hspace{1cm}\) Define \(R(f_j,g_i)=\{x,y\}\).
Else there is a pair in \(G\) of the form \((g_k,\{x,y\}) \hspace{0.5cm} (k \neq i\))
\(\hspace{1cm}\) Replace \(G\) by \(G \cup (g_i,\{x,y\}) \backslash (g_k,\{x,y\})\)
\(\hspace{1cm}\) Define \(R(f_j,g_i)=\{x,y\}\)
\(\hspace{1cm}\) Define \(R(f_j,g_k)\) to be empty
<IP_ADDRESS> Example 2.2.1
Suppose the factorisation \(F\) from the earlier example has been completed and is represented by the set:
$$ M={
| \((f_1\{1,2\}),(f_1\{3,5\}),(f_1\{4,6\}),(f_2\{1,4\}),(f_2\{2,3\}),(f_2\{5,6\}),(f_3\{1,6\})\) |
| \((f_3\{2,5\}),(f_3\{3,4\}),(f_4\{1,3\}),(f_4\{2,6\}),(f_4\{4,5\}),(f_5\{1,5\}),(f_5\{3,6\})\) |
}
Notice that this is precisely the one-factorisation of \(K_6\) given on page 9.
Now suppose we have established the following one-factors in \(G\): \[G=\{(g_1,\{1,4\}),(g_2,\{1,6\}),(g_3,\{3,6\}),(g_5\{5,6\}),(g_5\{1,2\})\}\] At this state \(R\) looks like
$$R=
| \(g_1\) | \(g_2\) | \(g_3\) | \(g_4\) | \(g_5\) | |
|---|---|---|---|---|---|
| \(f_1\) | \(1,2\) | ||||
| \(f_2\) | \(1,4\) | \(5,6\) | |||
| \(f_3\) | \(1,6\) | ||||
| \(f_4\) | |||||
| \(f_5\) | \(3,6\) |
$$
Figure 13
Now apply \(OH_1\):
Choose \(x=5\), suitably live.
Choose \(g_3\), in which \(5\) does not occur.
\(5\) does not occur together with \(2\) in \(G\), so we are free to choose \(y=2\).
In \(F\), \(\{2.5\} \in f_3\).
\(f_3,g_3\) is empty in \(R\), also \(y=2 \notin g_3\).
Replace \(G\) with \(G \cup (g_3,\{5,2\})\).
Define \(R(f_3,g_3)=\{5,2\}\).
This decreases the cost by one, alternatively we might have chosen, at stage 3. \(y=3\), in that case.
\(\{3,5\} \in f_1\).
\(f_1,g_3\) is empty in \(R\), also \(y \in g_3\), occurring in the pair \((g_3,\{3,6\}), z=6\).
Replace \(G\) with \(G \cup (g_3,\{3,5\}) \backslash (g_3,\{3,6\})\).
Define \(R(f_1,g_3)=\{3,5\}\).
Define \(R(f_5,g_3)\) to be empty.
Which leaves the cost unaffected. Suppose now that \(R\) is the array after this second version of the application of \(OH_1\):
$$R=
| \(g_1\) | \(g_2\) | \(g_3\) | \(g_4\) | \(g_5\) | |
|---|---|---|---|---|---|
| \(f_1\) | \(3,5\) | \(1,2\) | |||
| \(f_2\) | \(1,4\) | \(5,6\) | |||
| \(f_3\) | \(1,6\) | ||||
| \(f_4\) | |||||
| \(f_5\) |
$$
Figure 14
Now if we apply \(OH_2\):
Choose \(g_4\), a live partial one-factor.
Choose \(x=1, y=2\), neither of which occur in \(g_4\).
\((f_1,\{1,2\}) \in F\).
\(f_1,g_4\) is empty in \(R\), also \(x\) and \(y\) do occur together, \((g_5,\{1,2\}) \in G\).
Replace \(G\) with \(G \cup (g_4,\{1,2\}) \backslash (g_5,\{1,2\})\)
Define \(R(f_1,g_4)=\{1,2\}\)
Define \(R(f_1,g_5)\) to be empty.
This procedure leaves the cost unaffected and if instead we had chosen at \(2\). \(x=3,y=4\), then would have been required to replace \(G\) with \(G \cup (g_4,\{3,4\})\), and put \(\{3,4\}\) in cell \((f_3,g_4)\) of \(R\), an action which reduces the cost by one. However, we know that two orthogonal one-factorisations of \(K_6\) are equivalent to a Room square of side 5, which has been shown not to exist. Hence it would be futile to continue with this method in this particular case. Nevertheless the example shows how the heuristics work.
There is no guarantee of success with repeated use of these heuristics, although Dinitz & Stinson are quick to point out that the algorithm involving \(H_1\) and \(H_2\) has never[^3] failed to produce the desired one-factorisation. If we hope to use the \(OH_1\) and \(OH_2\) in a similar algorithm then the possibility of failure becomes a real possibility. Two possibilities exist, either both heuristics fail or successive use of them leads to an infinite loop. In order to avoid both we introduce a threshold function, which simply arrests the progress of the algorithm after a certain number of iterations of the heuristics. Dinitz & Stinson found after experimentation that the following function is suitable. \[T(n)=100n\] Then the hill-climbing algorithm for finding a Room square is as follows [8]:
Use the previous hill climbing algorithm to construct \(F\), a one-factorisation of \(K_n\).
Number of iterations initialised to be \(0\)
While (number of iterations \(<T(n)\)) and \(c(G) \neq 0\), do
\(\hspace{1cm}\) Choose \(r=1\) or \(r=2\) at random with equal probability
\(\hspace{1cm}\) Perform \(OH_r\)
\(\hspace{1cm}\) Increment number of iterations
3.2.3 The Room Square Generator
Dinitz and Stinson choose to implement the above algorithm in Pascal, and ran in on an Amdahl 5850 workstation. It was very successful, finding many Room squares with sides ranging from 11 to 101. For each successful trial they had 9 or 10 failures (the program being stopped by the threshold function) and timings ranged from 0.09 seconds for an 11x11 Room square, to 7.3 on average for the 25 different 101x101 Room squares they found.
I chose to implement the hill-climbing algorithms in Visual Basic 6.0 on a Pentium III-450/Win 98 Desktop. Needless to say, it was slightly less successful – exhibiting a similar probability of success but unfortunately becoming very slow for Room squares bigger than 21. It found square of side 21 after an all-night search, but after 48 hours looking for one of 23x23 I decided to call the search off.
Despite the failures at higher order, the Room square generator was very successful in finding smaller squares. It found 7x7 Room squares in as little as 4 seconds, and even 15x15 squares only took a few minutes.
Annotated code for the Room square generator can be found along with some of the larger squares in Appendix I and below is a screen shot of the application having successfully located a 9x9 Room square in a little over one minute after 507 iterations of the heuristics \(OH_1\) and \(OH_2\). The uppermost panel represents some of the one-factorisation generated by the algorithm involving \(H_1\) and \(H_2\), while the second panel shows part of the orthogonal one-factorisation generated by \(OH_1\) and \(OH_2\). The lower panel is a Room square of side 9.
Figure 15 Screenshot of the Room Square Generator


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Welcome to Salmon Cookies! We are a small business located in the heart of Seattle, Washington. We wanted to take two signiture Seattle icons and put them together and now we are here with our amazing SALMON COOKIES!!! They are cookies in the shape of a salmon that has just a hint of fishy goodness added to them! We hope you enjoy (And I mean since you are here im sure you already LOVE them!).


University strikes: one million students face disruption
by LBCThousands of university staff will walk out for eight days from Monday in a move which will disrupt lectures for over a million students.
Up to 43,000 members of the University and College Union (UCU) at 60 UK universities will strike in disputes over pay, conditions and pensions with further industrial action being threatened if agreements cannot be reached.
As well as eight strike days from 25 November to Wednesday 4 December, union members will begin 'action short of a strike'.
This involves things like working strictly to contract, not covering for absent colleagues and refusing to reschedule lectures lost to strike action.
Those going on strike include lecturers, student support services staff, admissions tutors, librarians, technicians and administrators.
UCU general secretary Jo Grady warned that a second wave of strikes could be held in the new year if the deadlocked disputes remain unresolved.
University leaders say they will try to lessen the impact of the action and insist they want to work with the union to reach an agreement.
But the UCU said staff had reached "breaking point" over a number of issues, including workloads, real-terms cuts in pay, a 15% gender pay gap and changes to the Universities Superannuation Scheme (USS), which the union says will leave members paying in more and receiving less in retirement.
Many universities were also employing academic staff on "discredited" zero-hours contracts, said the union.


class
ClassMethods
- def _function(self)
- Documented underscored function
- def _function_external(self)
- Externally documented underscored function
Properties
- _property get
- Documented underscored property
- _property_external get
- Externally documented underscored property
- _property_external_in_class get
- Externally in-class documented underscored property
Data
- _DATA_EXTERNAL: int = 5
- Externally documented underscored data
- _DATA_EXTERNAL_IN_CLASS: int = 6
- Externally in-class documented underscored data
- _DATA_DECLARATION_EXTERNAL: float = None
- Externally documented underscored data declaration
- _DATA_DECLARATION_EXTERNAL_IN_CLASS: float = None
- Externally in-class documented underscored data declaration


{% extends "base.html" %} {% block page_body %}
This is a word search written using React.
The React/JSX code is in ./example/app/public/js/word_search.jsx
It currently gets compiled to normal JavaScript by the Babel transformer by adding the type `"text/babel"` to the script tag that loads the file. e.g.
The React widget is looks for an element with the id of 'word_search' and then binds the React widget into that element. e.g.

{% endblock %}


Fast sparse graphs#
For an overview of graph data structures in sage, see
overview
.
Usage Introduction#
sage: from sage.graphs.base.sparse_graph import SparseGraph
Sparse graphs are initialized as follows:
sage: S = SparseGraph(nverts = 10, expected_degree = 3, extra_vertices = 10)
This example initializes a sparse graph with room for twenty vertices, the first
ten of which are in the graph. In general, the first nverts
are “active.”
For example, see that 9 is already in the graph:
sage: S.verts()
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
sage: S.add_vertex(9)
9
sage: S.verts()
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
But 10 is not, until we add it:
sage: S.add_vertex(10)
10
sage: S.verts()
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
You can begin working with unlabeled arcs right away as follows:
sage: S.add_arc(0,1)
sage: S.add_arc(1,2)
sage: S.add_arc(1,0)
sage: S.has_arc(7,3)
False
sage: S.has_arc(0,1)
True
sage: S.in_neighbors(1)
[0]
sage: S.out_neighbors(1)
[0, 2]
sage: S.del_all_arcs(0,1)
sage: S.all_arcs(0,1)
[]
sage: S.all_arcs(1,2)
[0]
sage: S.del_vertex(7)
sage: S.all_arcs(7,3)
Traceback (most recent call last):
...
LookupError: vertex (7) is not a vertex of the graph
Sparse graphs support multiple edges and labeled edges, but requires that the labels be positive integers (the case label = 0 is treated as no label).
sage: S.add_arc_label(0,1,-1)
Traceback (most recent call last):
...
ValueError: Label (-1) must be a nonnegative integer.
sage: S.add_arc(0,1)
sage: S.arc_label(0,1)
0
Note that arc_label
only returns the first edge label found in the specified
place, and this can be in any order (if you want all arc labels, use
all_arcs
):
sage: S.add_arc_label(0,1,1)
sage: S.arc_label(0,1)
1
sage: S.all_arcs(0,1)
[0, 1]
Zero specifies only that there is no labeled arc:
sage: S.arc_label(1,2)
0
So do not be fooled:
sage: S.all_arcs(1,2)
[0]
sage: S.add_arc(1,2)
sage: S.arc_label(1,2)
0
Instead, if you work with unlabeled edges, be sure to use the right functions:
sage: T = SparseGraph(nverts = 3, expected_degree = 2)
sage: T.add_arc(0,1)
sage: T.add_arc(1,2)
sage: T.add_arc(2,0)
sage: T.has_arc(0,1)
True
Sparse graphs are by their nature directed. As of this writing, you need to do operations in pairs to treat the undirected case (or use a backend or a Sage graph):
sage: T.has_arc(1,0)
False
Multiple unlabeled edges are also possible:
sage: for _ in range(10): S.add_arc(5,4)
sage: S.all_arcs(5,4)
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
The curious developer is encouraged to check out the unsafe
functions,
which do not check input but which run in pure C.
Underlying Data Structure#
The class SparseGraph
contains the following variables which are inherited
from CGraph
(for explanation, refer to the documentation there):
cdef int num_verts
cdef int num_arcs
cdef int *in_degrees
cdef int *out_degrees
cdef bitset_t active_vertices
It also contains the following variables:
cdef int hash_length
cdef int hash_mask
cdef SparseGraphBTNode **vertices
For each vertex u
, a hash table of length hash_length
is instantiated.
An arc (u, v)
is stored at u * hash_length + hash(v)
of the array
vertices
, where hash
should be thought of as an arbitrary but fixed hash
function which takes values in 0 <= hash < hash_length
. Each address may
represent different arcs, say (u, v1)
and (u, v2)
where
hash(v1) == hash(v2)
. Thus, a binary tree structure is used at this step to
speed access to individual arcs, whose nodes (each of which represents a pair
(u,v)
) are instances of the following type:
cdef struct SparseGraphBTNode:
int vertex
int number
SparseGraphLLNode *labels
SparseGraphBTNode *left
SparseGraphBTNode *right
Which range of the vertices
array the root of the tree is in determines
u
, and vertex
stores v
. The integer number
stores only the
number of unlabeled arcs from u
to v
.
Currently, labels are stored in a simple linked list, whose nodes are instances of the following type:
cdef struct SparseGraphLLNode:
int label
int number
SparseGraphLLNode *next
The int label
must be a positive integer, since 0 indicates no label, and
negative numbers indicate errors. The int number
is the number of arcs with
the given label.
TODO: Optimally, edge labels would also be represented by a binary tree, which
would help performance in graphs with many overlapping edges. Also, a more
efficient binary tree structure could be used, although in practice the trees
involved will usually have very small order, unless the degree of vertices
becomes significantly larger than the expected_degree
given, because this is
the size of each hash table. Indeed, the expected size of the binary trees is
\(\frac{\text{actual degree}}{\text{expected degree}}\). Ryan Dingman, e.g., is
working on a general-purpose Cython-based red black tree, which would be optimal
for both of these uses.
- class sage.graphs.base.sparse_graph.SparseGraph#
Bases:
CGraph
Compiled sparse graphs.
sage: from sage.graphs.base.sparse_graph import SparseGraph
Sparse graphs are initialized as follows:
sage: S = SparseGraph(nverts = 10, expected_degree = 3, extra_vertices = 10)
INPUT:
nverts
– non-negative integer, the number of vertices.expected_degree
– non-negative integer (default: 16), expected upperbound on degree of vertices.
extra_vertices
– non-negative integer (default: 0), how many extravertices to allocate.
verts
– optional list of vertices to addarcs
– optional list of arcs to add
The first
nverts
are created as vertices of the graph, and the nextextra_vertices
can be freely added without reallocation. See top level documentation for more details. The inputverts
andarcs
are mainly for use in pickling.- add_arc_label(u, v, l=0)#
Add arc
(u, v)
to the graph with labell
.INPUT:
u, v
– non-negative integers, must be in selfl
– a positive integer label, or zero for no label
EXAMPLES:
sage: from sage.graphs.base.sparse_graph import SparseGraph sage: G = SparseGraph(5) sage: G.add_arc_label(0,1) sage: G.add_arc_label(4,7) Traceback (most recent call last): ... LookupError: vertex (7) is not a vertex of the graph sage: G.has_arc(1,0) False sage: G.has_arc(0,1) True sage: G.add_arc_label(1,2,2) sage: G.arc_label(1,2) 2
- in_degree(v)#
Returns the in-degree of
v
INPUT:
v
– integer
EXAMPLES:
sage: from sage.graphs.base.sparse_graph import SparseGraph sage: G = SparseGraph(5) sage: G.add_arc(0,1) sage: G.add_arc(1,2) sage: G.add_arc(1,3) sage: G.in_degree(0) 0 sage: G.in_degree(1) 1
- is_directed()#
Return whether the graph is directed.
EXAMPLES:
sage: from sage.graphs.base.sparse_graph import SparseGraph sage: G = SparseGraph(5) sage: G.is_directed() True sage: G = SparseGraph(5, directed=False) sage: G.is_directed() False
- out_degree(u)#
Returns the out-degree of
v
INPUT:
u
– integer
EXAMPLES:
sage: from sage.graphs.base.sparse_graph import SparseGraph sage: G = SparseGraph(5) sage: G.add_arc(0,1) sage: G.add_arc(1,2) sage: G.add_arc(1,3) sage: G.out_degree(0) 1 sage: G.out_degree(1) 2
- realloc(total)#
Reallocate the number of vertices to use, without actually adding any.
INPUT:
total
– integer, the total size to make the array
Returns -1 and fails if reallocation would destroy any active vertices.
EXAMPLES:
sage: from sage.graphs.base.sparse_graph import SparseGraph sage: S = SparseGraph(nverts=4, extra_vertices=4) sage: S.current_allocation() 8 sage: S.add_vertex(6) 6 sage: S.current_allocation() 8 sage: S.add_vertex(10) 10 sage: S.current_allocation() 16 sage: S.add_vertex(40) Traceback (most recent call last): ... RuntimeError: requested vertex is past twice the allocated range: use realloc sage: S.realloc(50) sage: S.add_vertex(40) 40 sage: S.current_allocation() 50 sage: S.realloc(30) -1 sage: S.current_allocation() 50 sage: S.del_vertex(40) sage: S.realloc(30) sage: S.current_allocation() 30
- class sage.graphs.base.sparse_graph.SparseGraphBackend#
Bases:
CGraphBackend
Backend for Sage graphs using SparseGraphs.
sage: from sage.graphs.base.sparse_graph import SparseGraphBackend
This class is only intended for use by the Sage Graph and DiGraph class. If you are interested in using a SparseGraph, you probably want to do something like the following example, which creates a Sage Graph instance which wraps a SparseGraph object:
sage: G = Graph(30, sparse=True) sage: G.add_edges([(0,1), (0,3), (4,5), (9, 23)]) sage: G.edges(sort=True, labels=False) [(0, 1), (0, 3), (4, 5), (9, 23)]
Note that Sage graphs using the backend are more flexible than SparseGraphs themselves. This is because SparseGraphs (by design) do not deal with Python objects:
sage: G.add_vertex((0,1,2)) sage: sorted(list(G), ....: key=lambda x: (isinstance(x, tuple), x)) [0, ... 29, (0, 1, 2)] sage: from sage.graphs.base.sparse_graph import SparseGraph sage: SG = SparseGraph(30) sage: SG.add_vertex((0,1,2)) Traceback (most recent call last): ... TypeError: an integer is required
- get_edge_label(u, v)#
Return the edge label for
(u, v)
.INPUT:
u,v
– the vertices of the edge
EXAMPLES:
sage: D = sage.graphs.base.sparse_graph.SparseGraphBackend(9) sage: D.add_edges([(0,1,1), (2,3,2), (4,5,3), (5,6,2)], False) sage: list(D.iterator_edges(range(9), True)) [(0, 1, 1), (2, 3, 2), (4, 5, 3), (5, 6, 2)] sage: D.get_edge_label(3,2) 2
- has_edge(u, v, l)#
Returns whether this graph has edge
(u,v)
with labell
. Ifl
isNone
, return whether this graph has an edge(u,v)
with any label.INPUT:
u, v
– the vertices of the edgel
– the edge label, orNone
EXAMPLES:
sage: D = sage.graphs.base.sparse_graph.SparseGraphBackend(9) sage: D.add_edges([(0,1), (2,3), (4,5), (5,6)], False) sage: D.has_edge(0,1,None) True
- multiple_edges(new)#
Get/set whether or not
self
allows multiple edges.INPUT:
new
– boolean (to set) orNone
(to get)
EXAMPLES:
sage: G = sage.graphs.base.sparse_graph.SparseGraphBackend(9) sage: G.multiple_edges(True) sage: G.multiple_edges(None) True sage: G.multiple_edges(False) sage: G.multiple_edges(None) False sage: G.add_edge(0,1,0,True) sage: G.add_edge(0,1,0,True) sage: list(G.iterator_out_edges(range(9), True)) [(0, 1, 0)]
- set_edge_label(u, v, l, directed)#
Label the edge
(u,v)
byl
.INPUT:
u,v
– the vertices of the edgel
– the edge labeldirected
– ifFalse
, also set(v,u)
with labell
EXAMPLES:
sage: G = sage.graphs.base.sparse_graph.SparseGraphBackend(9) sage: G.add_edge(1,2,None,True) sage: G.set_edge_label(1,2,'a',True) sage: list(G.iterator_out_edges(range(9), True)) [(1, 2, 'a')]
Note that it fails silently if there is no edge there:
sage: G.set_edge_label(2,1,'b',True) sage: list(G.iterator_out_edges(range(9), True)) [(1, 2, 'a')]


Welcome to CUFCQ!
This is a website designed to help you understand FCQs and past grade data for instructors, courses, and departments. Start your search here!
{% include standard/head.html%} {% block content %}


Budget is an application that will help you to analyze your spend and get statistics of your transactions income or outcome between your wallets. Also there are others funcionalities like mobile usage and remaiden mobile data that will help you to manage others aspect of your life.
Clear interface:Budget expense income and transfers between wallets tracker, money, finances app is very easy to use: you can quickly add a transaction with just a couple of clicks.
Illustrative display:The app will automatically draw up current balance and create a pictorial diagram showing your spending patterns (expenses and income and transfers).
Explications:Check out detailed reports in custom periods of time and each category of operation, or type - whatever works best for you.
Multicurrency:The app supports various currencies and show real-time exchange rates which provides comfort of use while traveling abroad, or you can set your rate manually if you are more confortable with that in case you receive income in foreign currencies, etc.
Safety:It's optional but you can set a biometic fingerprint to protect data on your budget so that only you have access to this important information.
{{ "contact.title" | translate }}


See: Description
| Interface | Description |
|---|---|
| PresenceEventListener |
Interface to listen for presence events.
|
| UserNameProvider |
Interface to be implemented by components that are capable of returning the name of entities
when running as internal components.
|
| UserProvider |
Provider interface for the user system.
|
| Class | Description |
|---|---|
| DefaultUserProvider |
Default implementation of the UserProvider interface, which reads and writes data
from the ofUser database table.
|
| HybridUserProvider |
Delegate UserProvider operations among up to three configurable provider implementation classes.
|
| JDBCUserProvider |
The JDBC user provider allows you to use an external database to define the users.
|
| NativeUserProvider |
A UserProvider to be used in conjunction with
NativeAuthProvider , which
authenticates using OS-level authentication. |
| POP3UserProvider |
A UserProvider to be used in conjunction with
POP3AuthProvider , which
authenticates using a POP3 server. |
| PresenceEventDispatcher |
Dispatches presence events.
|
| User |
Encapsulates information about a user.
|
| UserCollection |
Provides a view of an array of usernames as a Collection of User objects.
|
| UserManager |
Manages users, including loading, creating and deleting.
|
| UserNameManager |
Main responsibility of this class is to return the correct name of XMPP entities.
|
| Exception | Description |
|---|---|
| UserAlreadyExistsException |
Thrown when attempting to create a user that already exists.
|
| UserNotFoundException |
Thrown when User cannot be found.
|
Provides the interfaces and classes necessary to create custom user account data providers for Openfire.
User accounts are handled separately from authentication. The three primary interfaces to implement are the UserIDProvider, UserAccountProvider, and UserInfoProvider. An overview of how these providers should be implemented and how they interact is described in the User Account Provider Guide included in the Openfire distribution.
There are several Roster (a.k.a. Buddy List) related classes in the user package. Developers are strongly discouraged from implementing custom RosterProvider classes. Roster provider implementation is complicated and should be left to the Jive JDBC implementation if at all possible. There are no disadvantages in implementing user account data with custom providers to integrate Openfire with a CRM or ERP user system, while leaving roster storage in Jive's standard JDBC database tables. (Note: Openfire comes with JDBC and LDAP user account providers 'out of the box'. It is expected that LDAP will accomodate many enterprise integration needs).
Copyright © 2003-2008 Jive Software.


To trigger the Date cell type, use the option type: 'date'
in columns
array
or cells
function.
The Date cell uses Pikaday datepicker as the UI control. Pikaday uses Moment.js as a date formatter.
Note that Date cell requires additional files in your <head>
:
demo/js/moment/moment.js
demo/js/pikaday/pikaday.js
demo/js/pikaday/css/pikaday.css
All data entered to the data-typed cells are validated agains the default date format (DD/MM/YYYY
), unless another
format is provided.
If you enable the correctFormat
config item, the dates will be automatically formatted to
match the desired format.


The Mission of Tabi University is to provide a nurturing environment and innovative curriculum that will inspire students to become competent professionals with the ability to think critically and improve the quality of life for individuals and society.
The text on this page contains important information for intending students and for other parties to their grant applications. This document will be updated to reflect any changes in legislation.
The text on this page contains important information for intending students and for other parties to their grant applications. This document will be updated to reflect any changes in legislation.
The text on this page contains important information for intending students and for other parties to their grant applications. This document will be updated to reflect any changes in legislation.
The text on this page contains important information for intending students and for other parties to their grant applications. This document will be updated to reflect any changes in legislation.


Topic models discover 'topics' that occur in a collection of text:
Statistics may be dull, but it has its moments.
67% topic A, 33% topic B.
Please laugh.
50% topic B, 50% topic C.
Laughing is good.
100% topic C.
Towards topic interpretation
Each topic owns a different probability mass function over the same set of words (i.e. vocabulary).
Problem: Topics are not easily interpretable and vocabulary size is often very large. Where should we put our focus?
Typically, one produces a ranked list of words deemed important for understanding a given topic; but how should we measure importance?
Measure 1: \(p(w_i|z_j)\) – probability of word \(w_i\) given each topic \(z_j\).
Drawback: common words tend to appear near the top of such lists for multiple topics, making it hard to differentiate topics.
Measure 2: \(\text{lift} = \frac{p(w_i|z_j)}{p(w_i)}\) where \(p(w_i)\) is overall probability of word \(w_i\).
Drawback: Rare words tend to receive too high of a ranking.
We believe that a compromise between these two measures can aid topic interpretation: \[
\text{relevance} = \lambda * p(w_i|z_j) + (1 - \lambda) * \text{lift}
\]
User study
A few remarks
We anticipate this 'optimal' value of \(\lambda\) will vary for different datasets.
For this reason, it is nice to have an interactive tool that quickly iterates through word rankings (based on different values of \(\lambda\)).
The R package LDAvis makes it easy to create an interactive visualizations to aid topic interpretation.


--- layout: post title: Finity 2.01 'Ned' released tags: finity author: Gertjan van Zwieten ---
Hi all. As per announced yesterday I have just committed finity version 2.01. You will find it in the Finity repository as finity_201.
As usual, for finalized projects it is wise to verify that they work against the current code (which, of course, you already did) and change the import statement to point at finity_201 for long storage.
With this release, the finity project will be frozen and will see no further updates except for emergency fixes, which will be announced here. The other repositories will remain open for as long as they remain in use. No need to make any changes at this point.
I will start transferring the ex-finity code to the new repository directly. Please keep an eye on this list for more information on these developments.
Regards,
Gertjan


??
?
?
?
?
0
1
2
3
4
5
6
7
8
9
10
i/r/vnrrasi
The
New
York
cm
copyright
reserved
Botanical
Garden
£
Herbaceous
vine;
flowers
blue;
fruit
brown,
copiously
pubescent»
Thickets
on
St.
George’s
Hill.
R.A.,
E.S.
&
P.G.
Howard
18974
March
19-April
16,
1979
Collected
with
the
collaboration
of
the
Montserrat
National
Trust.
PLANTS
OF
THE
WEST
INDIES
MONTSERRAT
Calopogonium
mucunoides
Desv.
1616274
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


--- title: Auditing Performance ---
We are most familiar with Chrome and so all of the browser examples will follow suit. However, most of the tools demoed are available in all browsers.
Every browser has a powerful set of development tools (DevTools) lurking inside, waiting for you to unlock its full potential. Every type of browser performance problem, from page loads to animation jank, can be debugged directly in the browser. We will cover the most oft-used tools.
These tools are hosted services, meaning you don't have to rely on your personal internet connection to perform an audit. Some have the ability to throttle the connection, or choose where in the world the test is run. They all have APIs and tests can be run as part of a workflow.


Fly.js supports forwarding the http request (ajax) to Native through any Javascript bridge, And fly.js has already provide the webviewjavascript adapter. Because the Native side has no the same-origin policy restriction, fly.js can request any resource from any domain.


OUR LITTLE MAN
IS TURNING ONE
it would tickle our whiskers if you could "comb"
to a 1st birthday party honoring
Viyaan Goel
July 16th • 6.30pm
Quince Orchard Valley, Neighbourhood Park|
12015 Suffolk Terrace, Gaithersburg MD 20878
<EMAIL_ADDRESS>301-346-1523 |<PHONE_NUMBER>
GalleryBake me a cake


Tangentyere Council is proud of its achievements since
its incorporation in 1979. Tangentyere Council was established
assist local Aboriginal people to gain some form of legal tenure
of the land they were living on in order to obtain essential
services and housing.
CEO Walter Shaw
Phone :<PHONE_NUMBER>
Location: 4 Elder St , Alice Springs, NT 0870


However, in a similar way to a private company, the Corporation defines the path of management of an economic activity by uniting collective interests in the creation of profit.
A Corporation is like to "an island of conscious power in an ocean of unconscious cooperation" (D. Robertson, The control of industry, 1923), minding that cause its constitutive nature, similar to that of any other form of economic enterprise, expresses the conscious coordination of individual interests for the pursuit of a goal. [...]
Smart-Society 2.0
As corporation we aim to express the art as end in itself. Nothing to proof.
W E A R E C O R P O R A T I O N W E M A K E M O N E Y
For more information or business deals please contact the secretariat of our offices at the following address<EMAIL_ADDRESS>M i P


I am a Ph.D. student at Northwestern University in the IDEAL group.
My interests are an interdisciplinary mix of engineering design, computer vision and graphics, mechanics and materials science, especially applied to metamaterials and additive manufacturing.
(This site is under construction. Please see my LinkedIn for more complete information.)
Education
North Carolina State University
B.S. Mechanical Engineering (Honors)
2011 - 2015
Minor Mathematics
Summa Cum Laude
Northwestern University
Ph.D. Mechanical Engineering
2016 - (2021)
Advisor: Prof. Wei Chen
Awards
Paper of Distinction for [Chan, Y. et al., 2020]
Design Automation Conference at ASME IDETC/CIE,
August 2020
Graduate Research Fellowship
National Science Foundation,
April 2018
Predictive Science & Engineering Design Fellowship
Northwestern University,
August 2017
Paper of Distinction [Tao, S. et al., 2017]
Design Automation Conference at ASME IDETC/CIE,
August 2017
Walter P. Murphy Fellowship
Northwestern University,
September 2016
Talks
-
METASET: An Automated Data Selection Method for Scalable Data-Driven Design of Metamaterials
Design Automation Conference at ASME IDETC/CIE,August 18, 2020.
-
A Spectral Shape Descriptor Based Approach for Data-Driven Metamaterials Design Optimization
15th U.S. National Congress on Computational Mechanics, Austin, TX, July 29, 2019.


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module FriendlyId::Slugged::Model
Attributes
slug[RW]
Public Instance Methods
find_slug()
click to toggle source
# File lib/friendly_id/slugged.rb, line 43 def find_slug raise NotImplementedError end
friendly_id()
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The friendly id.
# File lib/friendly_id/slugged.rb, line 57 def friendly_id slug.to_friendly_id end
friendly_id_config()
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# File lib/friendly_id/slugged.rb, line 47 def friendly_id_config self.class.friendly_id_config end
friendly_id_status()
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Get the {FriendlyId::Status} after the find has been performed.
# File lib/friendly_id/slugged.rb, line 52 def friendly_id_status @friendly_id_status ||= Status.new(:record => self) end
normalize_friendly_id(string)
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Clean up the string before setting it as the friendly_id. You can override this method to add your own custom normalization routines. @param string An instance of {FriendlyId::SlugString}. @return [String]
# File lib/friendly_id/slugged.rb, line 65 def normalize_friendly_id(string) string.normalize_for!(friendly_id_config).to_s end
slug?()
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Does the instance have a slug?
# File lib/friendly_id/slugged.rb, line 70 def slug? !! slug end


J files are updated in J504 to support 64 bits.
Background
A J file contains a set of data components, and a set of directories.
The data components store the 3!:1 representation of data. This representation differs between J32 and J64, but is readable by either system. Thus there is no need to update data components when moving between J32 and J64. A component file may have data components written by either or both J32 and J64.
The directories are integer pointers, and must be consistent in size. J32 directories have 4 byte pointers, and J64 directories have 8 byte pointers. Either can read each others' directories. However, when a J64 system writes to a component file, it always writes 8 byte pointers, converting the file directories if necessary.
Key Points
With this background, the following are the key points:
1. J Files can be read and written by either J32 or J64.
2. When J64 writes to a J32 file, it converts the file directory to J64 format. This is a one time change. The reverse does not happen, i.e. J32 writing to a J64 file preserves the file directory format.
3. When J32 reads J64 files, data will be converted if necessary. For example, integers in J64 might be converted to floating point in J32.
4. J32 cannot access a file more than 2GB in size. There is no such limitation for J64, so it is possible to create a file in J64 that cannot be read by J32.
5. J32 files created in J504 can be accessed by earlier versions of J. However, J64 files cannot be accessed by earlier versions of J.


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The most active student association in FULafia, filled like an ocean with programmers, creators, innovators, designers and people who want to make a difference.
Sorry cannot load latest news and updates at the moment.
NACOSS FULafia is the NACOSS Chapter for students studying Computer Science in Federal University of Lafia.
About UsWelcome to the official website of the NACOSS FULafia Chapter and thank you for taking the time to learn more about us. The association strive to keep up with the aims and objectives of its parent association.


This weekend I went to the Kentucky Derby for the first time in my life. After a couple $5 losses I had had enough of the betting but the races were just as interesting without money on the line.
It's interesting to watch because the horse and jockey pairs don’t all run the same way. If they did only two things would really matter: a horse's speed and how quickly it gets out of the gate.
Anyone in the stands would tell you it’s not so simple. That’s why countless people show up to put their hard-earned money on the line. Jockeys work hard to get their timing just right. There's weather, there's timing and a million reasons that a jockey or horse will have a good day or bad.
Sitting in a room of people struggling forward with code, I can’t help but feel like I’m running out of the gate, trying to be sure to hit the ground as it goes by. We don't have much time here and you can always go faster - there is always more to learn.
I also have started to recognize - if not be comfortable with - the unsettling sensation that I don't know where I'm headed.
Trying to create an app that takes users input and kicks out some useful information (whether it is prime, what it's prime factors are) I finally dissolved into a state of flow - trusting my destination to be there and simply problem solving to get there. Each step forward was a matter of procedure - dissecting errors and incompatibility instead of grazing through lines of jargon.
When I looked up I was somewhere I couldn't have seen from the start. And it felt incredible.


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Meet Our Team
Itel Domingo
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Zahid Khawaja
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Justin Chang
Front End Architect I
William Wilson
Front End Architect I
Lillian Cha
Front End Architect II
Spencer Elggren
Front End Architect II
Mariana Shebanova
Backend Architect


<supply>
The <supply> element contains information about a single supply in a list of supplies that are needed to perform a task.
Category: Task requirements domain


{% extends "package/base.html" %} {% load i18n %} {% load crispy_forms_tags %} {% block head_title %}{{ action|title }} {% trans "package" %}{% endblock %} {% block extra_head %} {{ block.super }} {% endblock %} {% block body %}
Timeline is designed to give a user quick information about important things which happen in the project lately and in the past. People are more comfortable using applications which give frequent updates - communication with a users is a key!
Users of SteemProjects receive newsletter every week with updates from their favorite projects. If timeline event url will be a link to Steemit, users will be able to help monetize a project by smart autoupvotes.
You don't have to add new items to Timeline manually. You can defined rules, according to which Timeline will be populated automatically!
{% if rulesets|length %}Timeline Events are automatically added to Timeline based on following rule sets:
{% endif %}


{% extends "base.html" %} {% block content %}
This app helps you to balance your meals throughout the day,
create new interesting meal recipies and play your diet.
Please navigate to your
meals to see the list of meals you have.
You can
create a new meal or delete it. Also, see
your profile.


vncviewer host:display_number- Launch in full-screen mode:
vncviewer -FullScreen host:display_number- Launch a VNC client with a specific screen geometry:
vncviewer --geometry widthxheight host:display_number- Launch a VNC client which connects to a host on a given port:
vncviewer host::port


It looks like Foursquare is having some issues with their API...
Please come back and try again in a few hours!
(re)generating map... it will periodically update itself as you check into more places, but the links won't change
deleting map...


@(trails: Seq[Trail], numItemsVisible: Int = 5, related: Boolean = false)(implicit request: RequestHeader)
@trails.take(numItemsVisible).zipWithRowInfo.map{ case (trail, info) =>
@if(info.rowNum == 1) {
@fragments.trails.featured(trail, info.rowNum, related)
} else {
@fragments.trails.thumbnail(trail, info.rowNum, related)
}
}