public class SimpleBluetooth
extends java.lang.Object
| Constructor and Description |
|---|
SimpleBluetooth(android.content.Context context,
android.app.Activity refActivity)
Constructor for
SimpleBluetooth
Allows for easy handling for setting up connections and bluetooth servers to connect to. |
SimpleBluetooth(android.content.Context context,
android.app.Activity refActivity,
BluetoothHandler handler)
Constructor for
SimpleBluetooth Use this constructor to provide your own custom bluetooth
handler. |
| Modifier and Type | Method and Description |
|---|---|
void |
cancelScan()
Cancels the ongoing scan started by
scan() |
void |
connectToA2DPDevice(java.lang.String deviceName)
Connects to an A2DP device.
|
void |
connectToBluetoothDevice(android.bluetooth.BluetoothDevice device)
Connect to a generic bluetooth device.
|
void |
connectToBluetoothDevice(java.lang.String macAddress)
Connect to the bluetooth device knowing only the macAddress.
|
void |
connectToBluetoothServer(java.lang.String macAddress)
Connects to a bluetooth server set up on another device.
|
void |
createBluetoothServerConnection()
Creates a bluetooth server on this device that awaits for a client to connect.
|
void |
endSimpleBluetooth()
Ends all connections and unregister the receiver.
|
BluetoothUtility |
getBluetoothUtility()
Gets the used bluetooth utility.
|
boolean |
initializeSimpleBluetooth()
Method that must be called to set everything up for this service.
|
void |
makeDiscoverable(int duration)
Makes the device discoverable to other devices for a certain amount of time.
|
void |
scan()
Performs a scan of devices directly and does not launch the device dialog.
|
void |
scan(int requestCode)
Starts the device dialog to get a device to connect to.
|
void |
sendData(int data)
Sends data to the connected device.
|
void |
sendData(java.lang.String data)
Sends data to the connected device.
|
void |
setInputStreamType(BluetoothUtility.InputStreamType type)
Sets the input stream type for reading data from the bluetooth device.
|
void |
setSimpleBluetoothListener(SimpleBluetoothListener simpleBluetoothListener)
Sets a simple bluetooth listener for this service.
|
public SimpleBluetooth(android.content.Context context, android.app.Activity refActivity)
SimpleBluetooth
Allows for easy handling for setting up connections and bluetooth servers to connect to.context
- context from the calling activityrefActivity
- reference to the calling activity. Context and activity should match.public SimpleBluetooth(android.content.Context context, android.app.Activity refActivity, BluetoothHandler handler)
SimpleBluetooth
Use this constructor to provide your own custom bluetooth
handler.context
- the context of the calling activity.refActivity
- reference to the calling activity. Context and activity should match.handler
- custom BluetoothHandler
for bluetooth event call backs.public void setSimpleBluetoothListener(SimpleBluetoothListener simpleBluetoothListener)
simpleBluetoothListener
- the new simple bluetooth listenerpublic void setInputStreamType(BluetoothUtility.InputStreamType type)
type
- the InputStreamType
, can either be Normal or Buffered.public boolean initializeSimpleBluetooth()
public void sendData(java.lang.String data)
data
- The string of data to send.public void sendData(int data)
data
- the int to send.public void scan(int requestCode)
requestCode
- the request code for the intent. Use this to check against in
OnActivityResult.public void scan()
FoundDeviceReceiver
in the activity and you also
need the FoundDeviceReceiver.FoundDeviceReceiverCallBack
.public void cancelScan()
scan()
public void connectToBluetoothDevice(java.lang.String macAddress)
macAddress
- the mac address of the device. If this isn't valid, it won't connect.public void connectToBluetoothDevice(android.bluetooth.BluetoothDevice device)
device
- Bluetooth device representing the device.public void createBluetoothServerConnection()
public void connectToBluetoothServer(java.lang.String macAddress)
macAddress
- the mac address of the server device. If this isn't valid, it won't connect.public void connectToA2DPDevice(java.lang.String deviceName)
deviceName
- the name of the device to connect to.public void makeDiscoverable(int duration)
duration
- the duration length in seconds.public void endSimpleBluetooth()
public BluetoothUtility getBluetoothUtility()
BluetoothUtility


|
SuperLU 6.0.0
|
Example #2 showing how to use ILU to precondition GMRES. More...
Functions | |
| void | dpsolve (int n, double x[], double y[]) |
| Performs dgsisx with original matrix A. More... | |
| void | dmatvec_mult (double alpha, double x[], double beta, double y[]) |
| Performs matrix-vector multipliation sp_dgemv with original matrix A. More... | |
| int | main (int argc, char *argv[]) |
Variables | |
| char * | GLOBAL_EQUED |
| superlu_options_t * | GLOBAL_OPTIONS |
| double * | GLOBAL_R |
| double * | GLOBAL_C |
| int * | GLOBAL_PERM_C |
| int * | GLOBAL_PERM_R |
| SuperMatrix * | GLOBAL_A |
| SuperMatrix * | GLOBAL_A_ORIG |
| SuperMatrix * | GLOBAL_L |
| SuperMatrix * | GLOBAL_U |
| SuperLUStat_t * | GLOBAL_STAT |
| mem_usage_t * | GLOBAL_MEM_USAGE |
This example shows that ILU is computed from the equilibrated matrix, but the preconditioned GMRES is applied to the original system. The driver routine DGSISX is called twice to perform factorization and apply preconditioner separately.
Note that DGSISX performs the following factorization: Pr*Dr*A*Dc*Pc^T ~= LU with Pr being obtained from MC64 statically then partial pivoting dynamically. On return, A is overwritten as A1 = Dr*A*Dc.
We need to save a copy of the original matrix A, then solve the original system, A*x = B, using FGMRES. Each GMRES step requires requires 2 procedures: 1) Apply preconditioner M^{-1} = Dc*Pc^T*U^{-1}*L^{-1}*Pr*Dr 2) Matrix-vector multiplication: w = A*v
| void dmatvec_mult | ( | double | alpha, |
| double | x[], | ||
| double | beta, | ||
| double | y[] | ||
| ) |
The operations is y := alpha*A*x + beta*y. See documentation of sp_dgemv for further details.
| [in] | alpha | Scalar factor for A*x |
| [in] | x | Vector to multiply with A |
| [in] | beta | Scalar factor for y |
| [in,out] | y | Vector to add to to matrix-vector multiplication and storage for result. |
| void dpsolve | ( | int | n, |
| double | x[], | ||
| double | y[] | ||
| ) |
See documentation of dgsisx for more details.
| [in] | n | Dimension of matrices |
| [out] | x | Solution |
| [in,out] | y | Right-hand side |
| int main | ( | int | argc, |
| char * | argv[] | ||
| ) |
| SuperMatrix* GLOBAL_A |
| SuperMatrix * GLOBAL_A_ORIG |
| double * GLOBAL_C |
| char* GLOBAL_EQUED |
| SuperMatrix * GLOBAL_L |
| mem_usage_t* GLOBAL_MEM_USAGE |
| superlu_options_t* GLOBAL_OPTIONS |
| int* GLOBAL_PERM_C |
| int * GLOBAL_PERM_R |
| double* GLOBAL_R |
| SuperLUStat_t* GLOBAL_STAT |
| SuperMatrix * GLOBAL_U |


--- layout: page description: "Codeninja, Webworker, Guitarplayer" ---
Posted by {% if post.author %}{{ post.author }}{% else %}{{ site.title }}{% endif %} on {{ post.date | date: "%B %d, %Y" }}


--- layout: example.html title: Openlayers view fit for bug test shortdesc: Openlayers view fit. docs: > This page's Openlayers view fit for bug test. tags: "openlayers" resources: - https://cdn.rawgit.com/openlayers/openlayers.github.io/master/en/v5.2.0/css/ol.css - https://cdn.rawgit.com/openlayers/openlayers.github.io/master/en/v5.2.0/build/ol.js ---


This Chaplin example provides an app scaffold using RequireJS as module loader. Handlebars is used as templating engine. The templates are loaded on demand using the RequireJS text plugin.


Applications for Senior Property Tax Exemptions have been mailed. All seniors must apply each year to renew their exemptions. For more infomation click here.
All veterans who receive the Disabled Veterans Exemption are entitled to property tax savings. A new law in 2016 allows veterans of the US Armed Forces who were severely wounded and while serving their country and who are at least 70% disabled complete exemption from property taxes. Renewal applications are available on the Cook County Assessor website, or you may download the form and additional information here. For eligibility rules and details from Township Assessor Ali ElSaffar, please click here.
Those with questions should feel free to call the Township Assessor’s office.
Oak Park Township Assessor:
Ali ElSaffar
Oak Park Township
105 South Oak Park Avenue
Oak Park, Illinois 60302
Phone:<PHONE_NUMBER>


Great Panther reports second mining fatality in less than two weeks
by The Canadian Press, StaffVancouver-based Great Panther Mining Ltd. says an employee was killed late Sunday at the processing plant of its Coricancha Mine complex in Peru.
The news comes less than two weeks after Great Panther reported a contractor's 41-year-old employee was killed at its San Ignacio underground mine in Mexico during a rock fall at an auxiliary access ramp.
The intermediate gold and silver mining company says the latest fatality occurred while workers were processing stockpiles and performing limited mining following a bulk sample program completed earlier this year.
Great Panther bought the Coricancha Mine in 2017 and has been working to restart it. It was closed in 2013.
It says personnel immediately closed the plant area after the accident and informed the employee's family and local authorities. It said the victim was an experienced plant operator who had worked at the Coricancha Mine for almost seven years.
The area of the accident has been barricaded while an investigation is completed.
"Safety is a core value at Great Panther and we will continue to strive to prevent such accidents from occurring," said interim CEO Jeffrey Mason in a statement.
"This includes completing an investigation of this accident and taking remedial action. Great Panther is continuing an in-depth review of its comprehensive safety policies, programs, and training across all operations."
This report by The Canadian Press was first published Nov. 18, 2019.


Canvas game template
Install
This a simple game template using Canvas for drawing and keyboard interaction with the arrows.


Clustering is a technique for finding similarity groups in a data, called clusters.
It attempts to group individuals in a population together by similarity, but not driven by a specific purpose.
K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data
(i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the
data, with the number of groups represented by the variable K. The algorithm works iteratively to assign
each data point to one of K groups based on the features that are provided. Data points are clustered
based on feature similarity. The results of the K-means clustering algorithm are:
- The centroids of the K clusters, which can be used to label new data
- Labels for the training data (each data point is assigned to a single cluster)
Imagine a retail website that needs to decide who gets certain offers based on the number of products
they have bought and also the number of products they have reviewed on the portal. For this purpose,
we would need to cluster people in groups logically. The simplest approach would be k-means clustering.
K-means Clustering Algorithm
To illustrate how the k-means clustering algorithm works, scroll down to follow each step of this algorithm.
Initial Graph
Let's consider 25 random data points in a vector space (for the above mentioned example, these would be customers).
Step 1 - Plot the Centroids on a scatterplot
We then choose any 3 random points in our vector space as our centroids and color them to distinguish them from each other.
Step 2 - Cluster Assignment
For each data point(xi), find the nearest centroid(cj) by calculating either the Euclidean distance or Manhattan distance.
Assign each data point to the nearest centroid and change it to the corresponding centroid color.
Manhattan distance is used for data where dimensions are not comparable and data noise (variance) is not high otherwise Euclidean distance is used. In general, Euclidean distance reduces error prcentage is datasets with comparable dimensions.
Step 3 - Euclidean Distance
For this graph, we have used Euclidean distance to calculate and assign each data point to its nearest centroid.
This distance is given by the formula:
Hover over the lines or points to view the distance of the point from its corresponding centroid.
Step 4 - Recalculating Centroids till Local Optimum is reached
Recalculate the new centroids for every cluster by finding the mean of all the points assigned to the previous jth cluster.
Change the centroid and reassign cluster points based on lowest distance. Repeat this till no point changes its cluster.
Observe the graph to see the centroids and clusters change till local optimum (0 points change) is achieved.
Is optimum really optimal?
Unfortunately k-means is dependent on the number of clusters we choose and the initial centroids we choose. Which means the local
optimum clusters might not be the best solution. To find optimum number of clusters, concept of Elbow Point is used.
So how will our retail website use this algorithm? Scroll on to find out!
When the local optimum is achieved, all the points get assigned clusters based on their similarity to each other (their distance from each other).
Tieing it to our initial example, this means that customers who buy high number of products and have given lots of reviews would get one type of deal, while
those customers that buy few products and have given fewer reviews would get another deal.
Similarly, people who have bought many products while giving few reviews
would get a different deal and those who have bought few products but have given a lot of reviews would get another deal.
Try It Yourself!
Here you get the chance to choose your own settings and see the clusters come to life!
You can choose as many points (N) as you want and upto 15 clusters (K) to cluster your data points.
Use the 'Step' button to update the centroid and intermediate clusters till local optimum is reached.
Use the 'Reset' button to restart and randomize the initial data points.


A web page is a text document written in a language called HTML.
Web browsers read these documents, and then interpret and display them.
 When a person goes to a web
page like www.google.com, their computer sends a HTTP Request to a server. The
server finds the appropriate HTML document and sends
it back to the user's computer where a web browser
interprets the page and displays it on the user's screen.
HTML stands for Hypertext Markup Language. HTML documents form the majority of the content on the web. HTML documents contain text content which describes "what you see" and markup which describes "how it looks". This video gives a good overview.
Tags and ElementsHTML documents are made of HTML elements. When writing HTML, we tell browsers the type of each element by using HTML tags. This video explains the distinction well.
Computers are Stupid.They interpret instructions literally, making them very unforgiving. A small mistake made by a programmer can cause huge problems in a program.
Inline Elements & Block Elements:Elements in HTML are either inline or block. Block elements form an "invisible box" around the content inside of them.


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--- layout: article title: Three Boys permalink: /photos/0506.html ---
Peter, Patrick and Christopher visited Mount Victoria for the great train weekend.  This little train ride lives at The Train Shed, Vicary's Winery, 2km south of Luddenham.


{% endfor %}
{% if role == 'owner' %}
{% if vacancy.enabled is False %}
{% with actions.count as al %}
{% with pending_actions|length as pal %}
{% with al|add:pal as count %}
{% if 2|pipeline_max_length > count %}
{% if role and full_pay > 0 %}
{% with vacancy.chain_allowed_amount|get_max_candidates_count:full_pay as max_candidates %}
Max candidates: {{ max_candidates }}
{% if max_candidates < 5 %}
It seems that with a fixed number of tokens
({{ vacancy.chain_allowed_amount }} Vera Coin) and a reward for complete
passage of pipeline ({{ full_pay }} Vera Coin), the maximum number of
candidates who can pass the entire
pipeline - {{ max_candidates }}.
You can increase
allowed
amount
right now.


RAISING ARIZONA A film review by Peter Reiher Copyright 1987 Peter Reiher
I was a big fan of Joel and Ethan Coen's first film, "Blood Simple." I'm not sure if it's accurate to say that their new film, "Raising Arizona," is precisely a disappointment, but it certainly isn't at all what I expected, and I didn't really like it. "Raising Arizona" is such a peculiar movie that I find it difficult to analyze my own feelings about it. In some sense, that itself is a sort of recommendation, since I'm a believer in trying to have unusual film experiences, but I can't help but come back to the fact that I didn't really like it.
The story is moderately peculiar, to begin with. A lower class Arizona couple discover that they can't have a baby. Adoption is out, as the husband is a five or six time loser, specializing in robbing convenience stores with an unloaded gun. When they hear of the birth of a set of quintuplets, they set out to steal one of them for their own. "Raising Arizona" just starts from here, throwing in vast numbers of complicating factors and extraneous vignettes. It's safe to say that the screenplay is rather different from the run-of-the-mill Hollywood script, or any other type of script that actually gets made.
The Coen brothers (who wrote the script, and then split directing and producing chores, Joel doing the former, Ethan the latter) have taken this odd substrate and layered on further levels of weirdness. The characters are strange, the direction is unusual, the cinematography gratuitously inventive, and the overall effect more stupefying than anything else. I'm not really sure if "Raising Arizona" came out the way the Coen brothers intended, but it certainly doesn't work. Perhaps the plan was to create an overall atmosphere so bizarre as to carry the film on that basis alone. Unfortunately, the different elements tend to work against each other, rather than demonstrating the internal consistency necessary to carry such a plan off.
Not to say that "Raising Arizona" is without its merits. There are several funny moments, a nicely choreographed chase scene, and Nicholas Cage, playing the husband (known as H.I., pronounced just as you would expect), gives an excellent performance.  Cage's greatest achievement is that he makes H.I. seem like a real person, a feat beyond the rest of the cast. Everyone else is a caricature, and somehow "Raising Arizona" needed more of a foot in the real world. More realistic portrayals might have overcome the sense that the Coens view not just these characters, but the whole level of society they represent, with condescension and contempt.
Particularly unfortunate is Holly Hunter's shrill and shallow performance as the wife. If both of the leading characters had been real people, then supporting them with a cast of stick figures might have worked out. But Hunter brings very little to her part, other than a few good line readings. In particular, she doesn't show a strong enough maternal instinct to convince us of the necessity of all the random mayhem that follows. Randall "Tex" Cobb stands out among the supporting cast, as an extremely nasty bounty hunter. And the babies (of course) are very cute.
The cinematography, by Barry Sonnenfield, is breathtaking, yet inappropriate. In "Blood Simple," every flashy camera move reinforced the scene. Here, the wild antics of the camera seem beside the point, as if they were created almost without regard for what is going on in the film. They are worth seeing simply because they're so audacious, but they add little to the film. Carter Burwell's music, on the other hand, does seem to capture some of the tone that the film strives for.
If there's one thing wrong with "Raising Arizona," it's a lack of sympathy. The Coens don't seem to care about any of their characters, except as the butts of jokes. Really effective slapstick depends on the audience caring about the disaster befalling the characters, but if the filmmakers don't care about them, the audience won't , either. The Coens made "Raising Arizona" with too much brains, and too little heart. "Blood Simple" was all thought and no emotion, too, but the thriller genre is inherently more cerebral than comedy. Good comedy comes from the gut and the heart, only secondarily from the brain.
Given its immense uncertainty of tone, I'd have to rate "Raising Arizona" as a failure, overall. But it is a very different type of failure than the typical film. "Raising Arizona" is an imaginative failure, a failure caused by an attempt to do more than the filmmakers were able to do. That may not be the same thing as success, but it's more interesting than some films that achieve everything they set out to do. For those looking for something different than the average film, "Raising Arizona" is worth seeing.
Peter Reiher<EMAIL_ADDRESS>{...ucbvax,sdcrdcf}!ucla-cs!reiher
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


One of the problems a farmer like my dad face is that it is quite messy and time-consuming to find a right organic fertilizer recipe that match his need. For example, in order to find a right one, he has to go through a number of farming magazines, looking up on Google with different keywords, visiting tons of websites and reaching out to people. Of course, these are the common aspects of searching. However, I firmly believe that technology is the thing human invented to save our time and to make everything more convenient! Thus, I want to develop a website and smartphone application that provide crowd-sourced reviews about DIY fertilizer recipe.
Our Share provides form for we all, farmers, to share the fertilizer recipes that we think they are worth sharing to the community! The form includes space for you to share the unique aspects of your recipe from organic/mixed to weather to the problems your recipe solve!
Our Search provides filter for you to find the recipes that best match your needs. The filter includes the problems the you want to solve at your farm, the type of weather, specific plant type and many more!
I'm just a aspiring computer science student and a daughter of a farmer who wants to use technology to contribute to the Thai farming community. So here, I'm working with friends to develop a website to improve the efficiency of farming business in Thailand. Please, please, please let us know how we can improve our website to make things work better. Reach me at pim.chuaylua@gmail.com!


A Table is a sequence of chunked arrays. They have a similar interface to record batches, but they can be composed from multiple record batches or chunked arrays.
The Table$create()
function takes the following arguments:
...
arrays, chunked arrays, or R vectors, with names; alternatively,
an unnamed series of record batches may also be provided,
which will be stacked as rows in the table.
schema
a Schema, or NULL
(the default) to infer the schema from
the data in ...
Tables are data-frame-like, and many methods you expect to work on
a data.frame
are implemented for Table
. This includes [
, [[
,
$
, names
, dim
, nrow
, ncol
, head
, and tail
. You can also pull
the data from an Arrow table into R with as.data.frame()
. See the
examples.
A caveat about the $
method: because Table
is an R6
object,
$
is also used to access the object's methods (see below). Methods take
precedence over the table's columns. So, tab$Slice
would return the
"Slice" method function even if there were a column in the table called
"Slice".
A caveat about the [
method for row operations: only "slicing" is
currently supported. That is, you can select a continuous range of rows
from the table, but you can't filter with a logical
vector or take an
arbitrary selection of rows by integer indices.
In addition to the more R-friendly S3 methods, a Table
object has
the following R6 methods that map onto the underlying C++ methods:
$column(i)
: Extract a ChunkedArray
by integer position from the table
$ColumnNames()
: Get all column names (called by names(tab)
)
$GetColumnByName(name)
: Extract a ChunkedArray
by string name
$field(i)
: Extract a Field
from the table schema by integer position
$select(spec)
: Return a new table with a selection of columns.
This supports the usual character
, numeric
, and logical
selection
methods as well as "tidy select" expressions.
$Slice(offset, length = NULL)
: Create a zero-copy view starting at the
indicated integer offset and going for the given length, or to the end
of the table if NULL
, the default.
$Take(i)
: return an Table
with rows at positions given by
integers i
. If i
is an Arrow Array
or ChunkedArray
, it will be
coerced to an R vector before taking.
$Filter(i)
: return an Table
with rows at positions where logical
vector or Arrow boolean-type (Chunked)Array
i
is TRUE
.
$serialize(output_stream, ...)
: Write the table to the given
OutputStream
$cast(target_schema, safe = TRUE, options = cast_options(safe))
: Alter
the schema of the record batch.
There are also some active bindings
$num_columns
$num_rows
$schema
$columns
: Returns a list of ChunkedArray
s
arrow::Object
-> Table
column()
Table$column(i)
ColumnNames()
Table$ColumnNames()
GetColumnByName()
Table$GetColumnByName(name)
field()
Table$field(i)
serialize()
Table$serialize(output_stream, ...)
ToString()
Table$ToString()
cast()
Table$cast(target_schema, safe = TRUE, options = cast_options(safe))
select()
Table$select(spec)
Slice()
Table$Slice(offset, length = NULL)
Take()
Table$Take(i)
Filter()
Table$Filter(i)
Equals()
Table$Equals(other)
clone()
The objects of this class are cloneable with this method.
Table$clone(deep = FALSE)
deep
Whether to make a deep clone.
#> [1] 32 12#> [1] 6 12names(tab)#> [1] "name" "mpg" "cyl" "disp" "hp" "drat" "wt" "qsec" "vs" "am" #> [11] "gear" "carb"tab$mpg#> ChunkedArray #> <double> #> [ #> 21, #> 21, #> 22.8, #> 21.4, #> 18.7, #> 18.1, #> 14.3, #> 24.4, #> 22.8, #> 19.2, #> ... #> 15.2, #> 13.3, #> 19.2, #> 27.3, #> 26, #> 30.4, #> 15.8, #> 19.7, #> 15, #> 21.4 #> ]tab[["cyl"]]#> ChunkedArray #> <double> #> [ #> 6, #> 6, #> 4, #> 6, #> 8, #> 6, #> 8, #> 4, #> 4, #> 6, #> ... #> 8, #> 8, #> 8, #> 4, #> 4, #> 4, #> 8, #> 6, #> 8, #> 4 #> ]#> # A tibble: 5 x 3 #> gear hp wt #> <dbl> <dbl> <dbl> #> 1 3 110 3.22 #> 2 3 175 3.44 #> 3 3 105 3.46 #> 4 3 245 3.57 #> 5 4 62 3.19# }


This article is part of the God object resolution series.
This resolution goes through several phases dispatched in several articles. Moreover, we deal with a complex object containing several features. To ease the understanding, proper illustrations and examples are required.
Let's go through the details of the running example we will use in the series. Here is the code of the God object:
class EmployeeManager {
private int nextEmployeeId = 0;
private final HashMap<Integer, Employee> employees = new HashMap<>();
private final HashMap<Integer, Address> addresses = new HashMap<>();
private final HashMap<Integer, String> phoneNumbers = new HashMap<>();
private final HashMap<Integer, Double> salaries = new HashMap<>();
/** Add a new {@link Employee} and returns its ID. */
public int hireEmployee(Employee employee) {
int employeeId = ++nextEmployeeId;
employees.put(employeeId, employee);
return employeeId;
}
/** Fire an {@link Employee} and returns its ID. */
public Employee fireEmployee(int employeeID) {
return employees.remove(employeeID);
}
/** Return the {@link Employee}'s details. */
public Employee getEmployee(int employeeID) {
return employees.get(employeeID);
}
/** Replace the {@link Employee}'s details and returns the previous version. */
public Employee setEmployee(int employeeID, Employee employee) {
return employees.put(employeeID, employee);
}
/** Return the {@link Address} of the given {@link Employee}. */
public Address getAddress(int employeeID) {
return addresses.get(employeeID);
}
/** Change the {@link Address} of the given {@link Employee}. */
public void setAddress(int employeeID, Address address) {
addresses.put(employeeID, address);
}
/** Change the salary of the given {@link Employee}. */
public void setSalary(int employeeID, double salary) {
salaries.put(employeeID, salary);
}
/** Return the salary of the given {@link Employee}. */
public double getSalary(int employeeID) {
return salaries.get(employeeID);
}
/** Raise the salary of the given {@link Employee}. */
public void raiseSalary(int employeeID, double amount) {
salaries.put(employeeID, salaries.get(employeeID) + amount);
}
/** Return the phone number of the given {@link Employee}. */
public String getPhoneNumber(int employeeID) {
return phoneNumbers.get(employeeID);
}
/** Change the phone number of the given {@link Employee}. */
public void setPhoneNumber(int employeeID, String phoneNumber) {
phoneNumbers.put(employeeID, phoneNumber);
}
}
This implementation remains simple: the methods are mainly one-liners, with no parameter control, the constructor has no parameter, and the state of the object is already greatly decomposed. Yet, we can identify several features related to employees management: hiring and firing, personnal details (address and phone number), salary management. These are separate features because we can clearly identify separate contexts in which only some methods are required. More specifically, hiring and firing makes sense at the start and at the end of the employees contracts. Personnal details may be changed at any time during the contract, at the initiative of the employee. Salaries management may be changed at any time during the contract, at the initiative of the employer. For instance, it would be unnecessary to care about the dependencies required for hiring and salary management when the employee just need to change personnal data after a family move.
This God object is tested in this way:
public class EmployeeManagerTest {
@Test
public void testEmployeeCanBeRetrievedAfterHiring() {
Employee employee = new TestEmployee();
EmployeeManager manager = new EmployeeManager();
int employeeID = manager.hireEmployee(employee);
assertEquals(employee, manager.getEmployee(employeeID));
}
@Test
public void testEmployeesHaveDifferentIDs() {
EmployeeManager manager = new EmployeeManager();
int employeeID1 = manager.hireEmployee(new TestEmployee());
int employeeID2 = manager.hireEmployee(new TestEmployee());
int employeeID3 = manager.hireEmployee(new TestEmployee());
assertNotEquals(employeeID1, employeeID2);
assertNotEquals(employeeID1, employeeID3);
assertNotEquals(employeeID2, employeeID3);
}
@Test
public void testEmployeeCannotBeRetrievedAfterFiring() {
Employee employee = new TestEmployee();
EmployeeManager manager = new EmployeeManager();
int employeeID = manager.hireEmployee(employee);
manager.fireEmployee(employeeID);
assertNull(manager.getEmployee(employeeID));
}
@Test
public void testEmployeeDetailsCanBeChanged() {
EmployeeManager manager = new EmployeeManager();
Employee employee = new TestEmployee();
int employeeID = manager.hireEmployee(employee);
Employee newDetails = new TestEmployee();
manager.setEmployee(employeeID, newDetails);
assertNotEquals(employee, manager.getEmployee(employeeID));
assertEquals(newDetails, manager.getEmployee(employeeID));
}
@Test
public void testEmployeeAddressCanBeChanged() {
EmployeeManager manager = new EmployeeManager();
Employee employee = new TestEmployee();
int employeeID = manager.hireEmployee(employee);
Address address1 = new TestAddress();
manager.setAddress(employeeID, address1);
assertEquals(address1, manager.getAddress(employeeID));
Address address2 = new TestAddress();
manager.setAddress(employeeID, address2);
assertNotEquals(address1, manager.getAddress(employeeID));
assertEquals(address2, manager.getAddress(employeeID));
}
@Test
public void testEmployeePhoneNumberCanBeChanged() {
EmployeeManager manager = new EmployeeManager();
Employee employee = new TestEmployee();
int employeeID = manager.hireEmployee(employee);
String phone1 = "123456789";
manager.setPhoneNumber(employeeID, phone1);
assertEquals(phone1, manager.getPhoneNumber(employeeID));
String phone2 = "987654321";
manager.setPhoneNumber(employeeID, phone2);
assertNotEquals(phone1, manager.getPhoneNumber(employeeID));
assertEquals(phone2, manager.getPhoneNumber(employeeID));
}
@Test
public void testEmployeeSalaryCanBeChanged() {
EmployeeManager manager = new EmployeeManager();
Employee employee = new TestEmployee();
int employeeID = manager.hireEmployee(employee);
double salary1 = 123;
manager.setSalary(employeeID, salary1);
assertEquals(salary1, manager.getSalary(employeeID), 0);
double salary2 = 456;
manager.setSalary(employeeID, salary2);
assertNotEquals(salary1, manager.getSalary(employeeID));
assertEquals(salary2, manager.getSalary(employeeID), 0);
}
@Test
public void testEmployeeSalaryCanBeRaised() {
EmployeeManager manager = new EmployeeManager();
Employee employee = new TestEmployee();
int employeeID = manager.hireEmployee(employee);
manager.setSalary(employeeID, 123);
manager.raiseSalary(employeeID, 321);
assertEquals(444, manager.getSalary(employeeID), 0);
}
}
These tests, although reduced and providing a 100% line coverage, illustrate one of the problem we mentionned.
Namely, the heavy test: although they remain reduced, you can notice that all the tests need to hire an employee before to do anything.
While it is expected for tests about hiring and firing, it is a bit troublesome to depend on a working hiring process to test other features.
And yet, this case is only illustrative: in practice, you may need to do many things before to have a properly set up EmployeeManager
, for each test.
You may factor the set up, but it only remove the repeating, it does not remove the heavy dependency.
You may use mocking features to directly set the private field EmployeeManager.employees
, but your tests would depend on internal details and break after some code refactoring.
After removing the God object (or replacing it by a façade), these compromises won't be needed anymore.


I Do Not Love You Except Because I Love You - Poem by Pablo Neruda
I do not love you except because I love you; I go from loving to not loving you, From waiting to not waiting for you My heart moves from cold to fire.

Maybe January light will consume My heart with its cruel Ray, stealing my key to true calm.


ENGLISH LANGUAGE
PREAMBLE
This examination sets out to test the different basic skills of communicating in English using the mediums of speech and writing. The examination will test the receptive and productive abilities of candidates. These abilities will be demonstrated in the following forms: reading, comprehension, summary, vocabulary, lexis and structure, listening comprehension and recognition of different aspects of spoken English.
AIMS AND OBJECTIVES
The objective of the syllabus is to measure the extent to which the aims of the teaching syllabuses of member countries have been realized in candidates’ secondary school career. The examination sets out to examine candidates’ ability to
(i) use correct English;
(ii) write about incidents in English that are appropriate to specified audiences and situations;
(iii) organize material in paragraphs that are chronologically, spatially and logically coherent;
(iv) control sentence structures accurately;
(v) exhibit variety in the use of sentence patterns;
(vi) comply with the rules of grammar;
(vii) spell and punctuate correctly;
(viii) comprehend written and spoken English;
(ix) recognize implied meaning, tones and attitudes;
(x) use an acceptable pronunciation that can be comprehended by others;
(xi) recognize the physical characteristics of English sounds and the letters that represent them.
(xii) pick out and summarize relevant information from set passages.
SCHEME OF EXAMINATION
There will be three papers – Papers 1, 2 and 3, all of which must be taken. Papers 1 and 2 will be a composite paper to be taken at one sitting.
PAPER 1: Will consist of eighty multiple choice questions, all of which should be answered within 1 hour for 40 marks.
PAPER 2: Will consist of five essay topics and a passage each to test candidates’ comprehension and summary skills. Candidates will be expected to write an essay on one of the topics and answer all the questions on the comprehension and summary passages.
PAPER 3: Will consist of sixty multiple choice items on Test of Orals for candidates in Nigeria and Liberia, and Listening Comprehension Test for candidates in the Gambia and Sierra Leone. All the questions should be answered in 45 minutes for 30 marks.
[Type the company name]
DETAILED SYLLABUS
PAPER 1: (For candidates in The Gambia, Nigeria, Sierra Leone and Liberia only)
This is an objective/multiple choice paper comprising eighty questions: forty lexical and forty structural questions. Each question will have four options lettered A to D.
A. LEXIS
In addition to items testing knowledge of the vocabulary of everyday usage (i.e home, social relationships, and common core school subjects) questions will be set to test candidates’ ability in the use of the general vocabulary associated with the following fields of human activity:
I. (a) Building and Building Construction;
(b) Agriculture;
(c) Fishing;
(d) Stock exchange;
(e) Health;
(f) Environment;
(g) Culture, Institutions and Ceremonies;
(h) Law and Order;
(i) Motor Vehicles and Travelling;
(j) Government and Administration;
(k) Sports;
(l) Religion;
(m) Science and Technology;
(n) Animal husbandry;
(o) Advertising;
(p) Human Internal Body system and function.
II. Idioms, i.e. idiomatic expressions and collocations (e.g. ‘hook, line and sinker’, ‘every Tom, Dick and Harry” etc.) the total meaning of which cannot be arrived at simply by consideration of the dictionary meanings of the words in the structures in which they appear.
III. Structural elements of English e.g. sequence of tenses, matching of pronouns with their antecedents, correct use of prepositions etc.
IV. Figurative Usage
The term ‘general’ vocabulary refers to those words and usage of words normally associated with the fields of human activity in A1 above which are generally known, used and understood by most educated people who, while not engaged in that field of activity may have occasion to read, speak or write about it. Thus, for example, in the vocabulary of transportation by road, one would expect knowledge of terms such as ‘pedestrian bridge’ and ‘traffic signs’ which most educated people understand, but not ‘berm’ or ‘camber’ which are specialized.
All items will be phrased in such a way as to test the use and understanding of the required lexis, rather than dictionary definitions and explanations. In practice, the test of lexis will be so designed as to explore, not merely the extent of the candidates’ vocabulary but more importantly
[Type the company name]
their ability to respond to sense relations in the use of lexical items e.g. synonyms, antonyms and homonyms.
In the test of figurative language, candidates will be expected to recognize when an expression is used figuratively and not only when it is used literally.
B. STRUCTURE
Structure here includes:
(i) The patterns of changes in word-forms which indicate number, tense, degree, etc;
(ii) The patterns in which different categories of words regularly combine to form groups and these groups in turn combine to form sentences;
(iii) The use of structural words e.g. conjunctions, determiners, prepositions, etc.
PAPER 1: (For candidates in Ghana only)
This is a multiple choice objective paper comprising eighty questions which will be made up of two parts: Parts A and B. Part A will consist of thirty lexical and twenty structured questions, while Part B will have thirty objective questions on literature.
Each question will have four options lettered A to D.
A. LEXIS
In addition to items testing knowledge of the vocabulary of everyday usage (i.e. home, social relationships, common core school subjects) questions will be set to test the candidates’ ability in the use of the general vocabulary associated with the following fields of human activity:
I. (a) Building;
(b) Plumbing;
(c) Fishing;
(d) Finance – commerce, banking, stock exchange, insurance;
(e) Photography;
(f) Mineral exploration;
(g) Common manufacturing industries;
(h) Printing, publishing, the press and libraries;
(i) Sea, road, rail and air transport;
(j) Government and politics;
(k) Sports and entertainment;
(l) Religion;
(m) Science and Technology;
(n) Power production – hydro, thermal, solar;
(o) Education;
(p) Communication;
(q) Military;
[Type the company name]
(r) Journalism and Advertising.
The term ‘general vocabulary’ refers to those words and usage of words normally associated with the relevant field of human activity in (i) above which are generally known, used and understood by most educated people, who, while not engaged in that field of activity, may have occasion to read, speak or write about it. Thus, for example, in the vocabulary of transportation by sea, one would expect knowledge of terms such as “bridge” and “deck”, which most educated people understand but not “halyard”, “dodge”, “davit” or “thrust block”, which are specialized.
II. Idioms, i.e., idiomatic expressions and collocations (e.g. “hook, line and sinker”, “every Tom, Dick and Harry” etc) the total meaning of which cannot be arrived at simply by the consideration of the dictionary meanings of words in the structures in which they appear.
III. Structural elements of English e.g. sequence of tenses, concord and the use
of correct prepositions, matching of pronouns with their antecedents, etc.
IV. Figurative Usage
All items will be phrased in such a way as to test the use and understanding of the required lexis, rather than dictionary definitions and explanations. In practice, the test of lexis will be designed to explore, not merely the extent of the candidates’ vocabulary but more importantly their ability to respond to sense relations in the use of lexical items e.g. synonyms, antonyms and homonyms.
In the test of figurative language, candidates will be expected to recognize when an expression is used figuratively and not only when it is used.
B. STRUCTURE
Structure here includes:
(i) The patterns of changes in word-forms which indicate number, tense, degree, etc.
(ii) The patterns in which different categories of words regularly combine to form groups and these groups in turn combine to form sentences;
(iii) The use of structural words e.g. conjunctions, determiners, prepositions, etc.
C. LITERATURE
The objective questions on Literature will be as follows:
10 questions on Drama
10 questions on Prose
[Type the company name]
10 questions on Poetry
NOTE: For Prose and Drama the candidate is to study one prescribed text each.
PAPER 2: (For all candidates)
The paper will be divided into three sections: Sections A, B and C. Candidates will be required to spend 2 hours on this paper.
SECTION A: ESSAY WRITING (50 marks)
Candidates will be required to spend 50 minutes on this section. There will be five questions in all and candidates will be required to answer only one question.
The questions will test candidates’ ability to communicate in writing. The topics will demand the following kinds of writing:
(i) letter;
(ii) speech;
(iii) narration;
(iv) description;
(v) argument/debate;
(vi) report;
(vii) article;
(viii) exposition;
(ix) creative writing.
Marks will be awarded for:
(i) Content: relevance of ideas to the topic;
(ii) Organization: formal features (where applicable), good paragraphing, appropriate emphasis and arrangement of ideas;
(iii) Expression: effective control of vocabulary and sentence structure;
(iv) Mechanical Accuracy: correct grammar, punctuation, spelling etc.
The minimum length will be 450 words.
SECTION B: COMPREHENSION (20 marks)
Candidates will be required to spend 30 minutes on this section. The section will consist of one passage of at least three hundred and fifty (350) words. Candidates will be required to answer all the questions on the passage.
The questions will test candidates’ ability to
(i) find appropriate equivalents for selected words or phrases;
(ii) understand the factual content;
(iii) make inferences from the content of the passage;
(iv) understand the use of English expressions that reveal/reflect sentiments/emotions/attitudes;
[Type the company name]
(v) identify and label basic grammatical structures, words, phrases or clauses and explain their functions as they appear in the context;
(vi) identify and explain basic literary terms and expressions;
(vii) recast phrases or sentences into grammatical alternatives.
The passage will be chosen from a wide variety of sources all of which should be suitable for this level of examination in terms of theme and interest. The passage will be written in modern English that should be within the experience of candidates. The comprehension test will include at least four questions based on (ii) above.
SECTION C: SUMMARY (30 marks)
Candidates will be required to spend 40 minutes on this section. The section will consist of one prose passage of about five hundred (500) words and will test candidates’ ability to
(i) extract relevant information;
(ii) summarize the points demanded in clear concise English, avoiding repetition and redundancy;
(iii) present a summary of specific aspects or portions of the passage.
The passage will be selected from a wide variety of suitable sources, including excerpts from narratives, dialogues and expositions of social, cultural, economic and political issues in any part of the world.
PAPER 3: ORAL ENGLISH (30 marks)
This paper will test candidates’ knowledge of Oral English. There will be two alternatives for this paper: Candidates in Ghana, The Gambia and Sierra Leone will be tested in listening comprehension and those in Nigeria and Liberia will take a paper on test of oral.
Listening Comprehension Test (For candidates in Ghana, The Gambia and Sierra Leone)
This will be made up of sixty multiple choice objective questions on:
Consonants, consonant clusters, vowels, diphthongs, stress and intonation patterns, dialogues and narratives.
Section 1: Test of word final voiced-voiceless consonants in isolated words mainly, but other features such as consonant clusters may also be tested.
Section 2: Test of vowel quality in isolated words.
Section 3: Test of vowel quality and consonant contrasts in isolated words.
Section 4: One of three options below will be used in different years:
(i) test of vowel and/or consonant contrasts in sentence contexts;
[Type the company name]
(ii) test of vowel and consonant contrasts in isolated words- to be selected from a list of at least four-word contrasts;
(iii) test of vowel and consonant contrasts through rhymes.
Section 5: Test of rhymes
Section 6: Test of comprehension of emphatic stress
Section 7: Test of understanding of the content of longer dialogues and narratives
NOTE: CD players will be used for the administration of this Listening Comprehension Test.
Features to be tested
1. CONSONANTS
(a) Single Consonants – Candidates should be able to recognize and produce all significant sound contrasts in the consonantal system of English. For the guidance of candidates, a few examples of such contrasts are given below.
Initial Medial Final
they – day buzzes – buses boat – both
ship – chip parcel – partial breathe – breed
fan – van sopping – sobbing wash – watch
pit – fit written – ridden leaf – leave
pit – bit anger – anchor cup – cub
tuck – duck faces - phrases cart – card
card – guard prices – prizes
gear – jeer
(b) Consonant Clusters – Candidates should be able to produce and recognize consonant clusters which may occur both initially and finally in a syllable. They should also be able to recognize and produce the consonant sounds in a consonant cluster in the right order. For the guidance of candidates, a few examples are given below.
Initial Final
play – pray rains - range
sting – string felt – felled
scheme – scream sent – send
crime – climb nest – next
flee – free ask – axe
three – tree lift – lived
true – drew missed – mixed
blight – bright seats – seeds
tread – thread hens – hence
[Type the company name]
drift – thrift lisp – lips
glade – grade coast – coats
marks – masks
II. VOWELS
(a) Pure Vowels
(b) Diphthongs
(c) Triphthongs
Candidates should be able to recognize and produce all the significant sound contrasts in the vowel system of English. For the guidance of candidates, a few examples of such contrasts are given below.
seat - sit
sit - set
peck - pack
pack - park
cart - cat
load - lord
pair - purr
park - port
hard - heard
word - ward
let - late
cheer - chair
pet - pat - part - pate
hat - heart - height - hate - hut
caught - cot - cut - curt
pool - pull - pole
bird - bed - bared
but - bat
III. STRESS
(a) Word Stress - Candidates should be able to contrast stressed and unstressed syllables in words which are not otherwise distinguished. In addition, they should be aware of the possibility of shifting stress from one syllable to another in different derivations of the same word with consequent change in vowel quality. For the guidance of candidates, a few examples of changing word stress are given below.
‘increase (noun) in’crease (verb)
‘import “ im’port “
‘rebel “ re’bel “
‘convict “ con’vict “
‘extract “ ex’tract “
‘record “ re’cord “
‘subject “ sub’ject “
[Type the company name]
(b) Sentence Stress – Candidates should be aware that stress in sentences in English tends to occur at regular intervals in time. English is therefore called a stress-timed language. They should also be aware that in most sentences, unless some sort of emphasis is introduced, only nouns, main verbs (not auxiliaries), adjectives and adverbs are stressed. Final pronouns should not be stressed, unless some kind of contrast is intended: relative pronouns should not be stressed, nor should possessive pronouns. Thus, for example, the following sentences should be stressed as indicated:
He ‘went to the town and ‘bought some ‘oranges.
I ‘told him to ‘go to the ‘station to ‘ask when the train would ‘leave.
Did you ‘ask him?
I ‘read it but I did not understand it.
They ar’rived yesterday.
I ‘fetched his ‘book.
NOTE: There are a few words in English that are pronounced differently depending on whether or not they are stressed in the sentence. These are usually called strong and weak forms.
(c) Emphatic stress – Candidates should be aware of the use of emphatic stress, most commonly to indicate a contrast, which is realized partly as a change in pitch within the intonational pattern. This falling pitch illustrated below is one of the common ways of indicating this:
He borrowed ‘my newspaper. (i.e. not hers)
He’ borrowed my newspaper. (i.e. he did not steal it)
He borrowed my ‘newspaper.(i.e. not my book)
‘He borrowed my newspaper.(i.e. not someone else’s)
IV. INTONATION
Candidates should be made aware of the different forms that English intonation takes in relation to the grammar of the language and the attitudes conveyed by the speaker. There are two basic intonation patterns or tunes: the falling and rising patterns. They should also realize that whereas the normal place for the changing pitch in an intonation is the last stressed syllable of the utterance(as indicated below), placing the changing pitch elsewhere implies a contrast to the item on which this changing pitch falls. For example:
(a) Falling Pattern
They ar’rived to’day. - Statement
‘Where did he ‘go? - WH question
‘Come ‘here! - Command
(b) Rising Pattern
[Type the company name]
Did he ‘see the ‘principal? - Yes/No question
When the ‘train arrived. - Incomplete
They arrived to’day? - Question
Note that (i) the two patterns indicated above may be combined in longer sentences, e.g.
When the ‘train ar’rived, the passengers were on the platform. ( )
(ii) candidates should note, in addition, that any unstressed syllable following the last stressed syllable of the sentence is said on a low level pitch when the pattern is falling, but continues the rise if the pattern is rising. The same rule applies to tags following quoted speech.
Test Of Orals (For candidates in Nigeria and Liberia)
The test will also be of the multiple-choice objective type consisting of sixty questions on a wide range of areas or aspects of Orals as contained in the syllabus.
The test will cover the following areas:
1. Vowels – pure vowels and diphthongs;
2. Consonants and clusters;
3. Rhymes;
4. Word stress/Syllable Structure;
5. Emphatic Stress/Intonation Patterns;
6. Phonetic Symbols.
<< Home / English
ENGLISH LANGUAGE SYLLABUS


--- layout: documentation title: ValuesEnumeratedEffectType ---
The ValuesEnumeratedEffectType type is intended to characterize the effects of actions upon objects where some values of the object are enumerated, such as the values of a registry key.
| Field Name | Type | Description |
|---|---|---|
| @effect_typeoptional | EffectTypeEnum |
The effect_type field specifies the nature of the Defined Effect instantiated in the place of the Defined_Effect element. |
| Values1..1 | ValuesType |
The Values field specifies the values that were enumerated as a result of the action on the object. |


Gutters should collapse on large.
Large margin collapse
Medium margin collapse
Small margin collapse
Gutters should collapse on medium.


glam2scan [options] <alphabet> <glam2 motif file> <sequence file>
The alphabet of the motif and sequences. This can be 'p' for protein sequences, 'n' for nucleotide sequences or the name of an GLAM2 alphabet file.
The name of a file containing a GLAM2 motif. If the file contains multiple motifs
then GLAM2SCAN only considers the top one. The file may be either GLAM2's plain
text (glam2.txt
) or HTML (glam2.html
) output.
The minimal component of the GLAM2 motif is shown in this GLAM2 DNA motif and GLAM2 protein motif.
The name of a file containing FASTA formatted sequences.
GLAM2Scan writes its output to files in a directory named
glam2scan_out
, which it creates if necessary. You can change the
output directory using the -o or -O options.
The directory will contain:
glam2scan.html
-
an HTML file containing the results in a human-readable formatglam2scan.txt
-
a plain text file containing the results
(the HTML format contains slightly less information but is easier to read)Output begins with some general information stating the program name, version and the actual command line:
GLAM2scan Version 9999 glam2scan p prot_motif.glam2 lotsa_prots.fa
This is followed by motif matches, sorted in order of score. A motif match looks like this:
| NAME | START | SITE | END | STRAND | SCORE |
|---|---|---|---|---|---|
| ****.*********..*********.*** | |||||
| At1g01140.2_SnRK3.12 | 196 | YDGAAADVWSCGVI.FVLMAGYLPFDEPN | 223 | + | 66.9 |
The name of the sequence with the match appears on the left; the start and end coordinates of the match appear on either side of the matching sequence; the match score appears on the right. The plus sign indicates the strand of the match (only meaningful when considering both strands of nucleotide sequences with the -2 option). The stars indicate the key positions of the motif: the alignment of the match to the key positions is shown. (The HTML format output does not include the stars over the matched sequence.)
| Option | Parameter | Description | Default Behavior |
|---|---|---|---|
| Basic Options | |||
| -t | Output in text format only to standard output. | The program behaves as if -O glam2scan_out had
been specified. |
|
| -n | n | Report n matches. If scores are tied, they are sorted in alphabetical order of sequence name. If sequence names are also identical, the order is arbitrary. | |
| -2 | Search both strands of nucleotide sequences. | ||
| Advanced Options | |||
| The remaining options are somewhat specialized. For typical usage, it is reasonable to set them to exactly the same values as were used with glam2 to discover the motif. | |||
| -D | pseudocount | Specify the deletion pseudocount. | |
| -E | pseudocount | Specify the 'no-deletion' pseudocount. | |
| -I | pseudocount | Specify the insertion pseudocount. | |
| -J | pseudocount | Specify the 'no-insertion' pseudocount. | |
| -d | file | Specify a Dirichlet mixture file. |
Some users may wish to make 'fake' glam2 motifs for input to glam2scan, for instance based on motifs found by other tools. Most of the glam2 output is ignored by glam2scan, and a minimal motif file looks like this:
**..**** seq1 10 HP..D.IG seq2 5 HPGADLIG seq3 7 HP..ELIG seq4 5 HP..ELLA
The sequence names and coordinates are ignored, but some placeholder characters should be present. The stars indicating key positions are necessary, and the first and last columns must be starred.


miscellaneous
Below is my ever increasing collection of useful web resources (in no particular order) as well as my academic mentors. I am grateful for their efforts. Their teachings, discussions, projects, articles, blog posts, tweets, GitHub repos, R
packages and software have a tremendous impact on my academic endeavors.
- Giving a scientific talk
- Statistics
- Building Websites
- Select Collaborators
- R Packages for visualisation
- LaTeX
- Screen capture to GIF in Ubuntu
- Websites
- Blogs
- GitHub Repositories
Giving a scientific talk
Statistics
- How to bootstrap correlated data
- Principal Component Analysis: Link 1, Link 2, Link 3
Building Websites
- Minimal Blog Using Jekyll, Github Pages, and poole
- Jekyll By Example
- Serve Jekyll Websites with servr and knitr
- Automate Publishing of Websites using Travis CI and GitHub Pages.
Select Collaborators
- James Hanley
- Olli Saarela
- Erica Moodie
- Brent Richards
- Shirin Golchi
- Maxime Turgeon
- Celia Greenwood
- Yi Yang
- Karim Oualkacha
R Packages for visualisation
LaTeX
Screen capture to GIF in Ubuntu
Websites
- Hands-On Data Science with R
- Tools for Reproducible Research
- Data wrangling, exploration, and analysis with R
- Advanced R
- R Packages
- PLS Path modeling with Gaston Sanchez
- Cropping figures online
- French accents in
Markdown
(precede with an ampersand and follow with a semicolon e.g. & eacute ; gives é)


Ocala events
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john manning real estate appraiser
Outline of communication - Wikipedia, the free encyclopedia
Communication requires a sender, a message, and an intended recipient, although the . 4.1 Types of communication; 4.2 General topics of communication . List of communications-related conferences · Category:Communication journals .
http://en.wikipedia.org/wiki/Outline_of_communicationModern Types of Communication | eHow.com
Modern Types of Communication. Modern technology has enabled the creation of a myriad of new communication tools, sites and software. Likewise .
http://www.ehow.com/about_5398776_modern-types-communication.html
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Modern communication: The 10 ways we speak to each other | PRtips
Jun 20, 2011 . Modern communication: The 10 ways we speak to each other . Possibly not one on most people's list (anymore), but I check my sports team's .
http://prtips.co.uk/2011/06/20/10-ways-we-speak-to-each-other/ -
MODERN MEANS OF COMMUNICATIONS
Aug 9, 2009 . Summary - The modern means of communications are FAX, Email & Video Conferencing.
http://www.articlesbase.com/communication-articles/modern-means-of-communications-1110951.html -
Communication tools
Even with all the modern methods of communication, regular postal mail is still one of the most powerful tools for a business. It adds a personal touch, it's used .
http://www.myownbusiness.org/s3/queen ann drop leaf cocktail table
98 people's favorite
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Alternative Methods of Communication: An Overview - FamilyConnect
Alternative Methods of Communication: An Overview. Leer este artículo en español. The ability to communicate our needs and wants is one of life's most basic .
http://www.familyconnect.org/parentsite.asp?SectionID=79&TopicID=368&DocumentID=4056 -
INTEGRATED COMMUNICATIONS - National Energy Technology ...
Modern Grid Systems View: Appendix B1 v2.0 Integrated Communications. TABLE OF . open standards means for advanced metering and demand response. In another . The following list shows some of the economic benefits that will be .
http://www.netl.doe.gov/smartgrid/referenceshelf/whitepapers/Integrated%20Communications_Final_v2_0.pdf


Unlimited Games. How should Red play 31?
pips Red=126 White=66
(CorrectAnswer= 0/0, ErrorScore= 0)
When in doubt, hit. But does that apply here?
Yes, because it is the simplest route to victory. All other options require a complex parlay for Red to succeed.
The rollouts show that Red gains 11% wins in exchange for 18% gammon losses but leaves him on the plus side of the ledger.
All other moves are errors. The second best move, which is still an error, is 21/18, 4/3.
Yes, because it is the simplest route to victory. All other options require a complex parlay for Red to succeed.
The rollouts show that Red gains 11% wins in exchange for 18% gammon losses but leaves him on the plus side of the ledger.
All other moves are errors. The second best move, which is still an error, is 21/18, 4/3.
1. Cubeful 2-ply 13/9* Eq.: -0.710 0.330 0.025 0.001 - 0.670 0.486 0.021 2. Cubeful 2-ply 21/18 4/3 Eq.: -0.728 (-0.018) 0.227 0.013 0.000 - 0.773 0.270 0.002 3. Cubeful 2-ply 21/17 Eq.: -0.736 (-0.025) 0.226 0.014 0.000 - 0.774 0.277 0.003 4. Cubeful 2-ply 21/18 5/4 Eq.: -0.763 (-0.052) 0.227 0.013 0.000 - 0.773 0.303 0.003 5. Cubeful 2-ply 21/18 2/1 Eq.: -0.814 (-0.103) 0.209 0.012 0.000 - 0.791 0.312 0.004


BuildAMation
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What is BuildAMation?
Key definitions
Structure of a package
Using BAM
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XML notation:
XML notation with trailing whitespace:
HTML notation:
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#include <db.h>int lock_vec(DB_LOCKTAB *lt, u_int32_t locker, u_int32_t flags, DB_LOCKREQ list[], int nlist, DB_LOCKREQ **elistp);
The lock_vec function atomically obtains and releases one or more locks from the lock table. The lock_vec function is intended to support acquisition or trading of multiple locks under one lock table semaphore, as is needed for lock coupling or in multigranularity locking for lock escalation.
The locker argument specified to lock_vec is an unsigned 32-bit integer quantity. It represents the entity requesting or releasing the lock.
The flags value must be set to 0 or the following value:
The list array provided to lock_vec is typedef'd as DB_LOCKREQ. A DB_LOCKREQ structure has at least the following fields, which must be initialized before calling lock_vec:
The nlist argument specifies the number of elements in the list array.
If any of the requested locks cannot be acquired, or any of the locks to be released cannot be released, the operations before the failing operation are guaranteed to have completed successfully, and lock_vec returns a non-zero value. In addition, if elistp is not NULL, it is set to point to the DB_LOCKREQ entry that was being processed when the error occurred.
In the case of an error, lock_vec may return one of the following values:
Otherwise, the lock_vec function returns the value of errno on failure, and 0 on success.
The lock_vec function may fail and return errno for any of the errors specified for the following Berkeley DB and C library functions: abort(3), fcntl(3), fflush(3), fprintf(3), fsync(3), getpid(3), isprint(3), lock_detect, lseek(3), memcpy(3), memset(3), mmap(3), munmap(3), printf(3), pstat_getdynamic(3), shmat(3), shmdt(3), strerror(3), sysconf(3), vfprintf(3), vsnprintf(3), and write(3).
In addition, the lock_vec function may fail and return errno for the following conditions:


| Opcode* | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
|---|---|---|---|---|---|
| 0F 32 | RDMSR | NP | Valid | Valid | Read MSR specified by ECX into EDX:EAX. |
NOTES:
*
See IA-32 Architecture Compatibility section below.
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| NP | NA | NA | NA | NA |
Reads the contents of a 64-bit model specific register (MSR) specified in the ECX register into registers EDX:EAX. (On processors that support the Intel 64 architecture, the high-order 32 bits of RCX are ignored.) The EDX register is loaded with the high-order 32 bits of the MSR and the EAX register is loaded with the low-order 32 bits. (On processors that support the Intel 64 architecture, the high-order 32 bits of each of RAX and RDX are cleared.) If fewer than 64 bits are implemented in the MSR being read, the values returned to EDX:EAX in unimplemented bit locations are undefined.
This instruction must be executed at privilege level 0 or in real-address mode; otherwise, a general protection exception #GP(0) will be generated. Specifying a reserved or unimplemented MSR address in ECX will also cause a general protection exception.
The MSRs control functions for testability, execution tracing, performance-monitoring, and machine check errors. Chapter 35, “Model-Specific Registers (MSRs),” in the Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 3C, lists all the MSRs that can be read with this instruction and their addresses. Note that each processor family has its own set of MSRs.
The CPUID instruction should be used to determine whether MSRs are supported (CPUID.01H:EDX[5] = 1) before using this instruction.
The MSRs and the ability to read them with the RDMSR instruction were introduced into the IA-32 Architecture with the Pentium processor. Execution of this instruction by an IA-32 processor earlier than the Pentium processor results in an invalid opcode exception #UD.
See “Changes to Instruction Behavior in VMX Non-Root Operation” in Chapter 25 of the Intel® 64 and IA-32 Archi-tectures Software Developer’s Manual, Volume 3C, for more information about the behavior of this instruction in VMX non-root operation.
EDX:EAX ← MSR[ECX];
None.
| #GP(0) |
If the current privilege level is not 0. If the value in ECX specifies a reserved or unimplemented MSR address. |
| #UD | If the LOCK prefix is used. |
| #GP | If the value in ECX specifies a reserved or unimplemented MSR address. |
| #UD | If the LOCK prefix is used. |
| #GP(0) | The RDMSR instruction is not recognized in virtual-8086 mode. |
Same exceptions as in protected mode.
Same exceptions as in protected mode.


Guidance
Guidance for administering the 2017 key stage 2 national curriculum tests to pupils with hearing or visual impairments.
Ref: ISBN 978-1-78644-353-3 , STA/17/7929/e PDF , 608KB , 13 pages
Ref: ISBN 978-1-78644-540-7 , STA/17/7931/e PDF , 283KB , 10 pages
Ref: ISBN 978-1-78644-539-1 , STA/17/7930/e PDF , 240KB , 7 pages
If you’re involved in administering the key stage 2 tests in 2017 to pupils with hearing or visual impairments, you should prepare by reading this modified test administration guidance (MTAG).
The guidance is to ensure that pupils using the modified large print (MLP) or braille versions of the tests, or who have a hearing impairment, can access the tests properly and that they are not at a disadvantage. It includes information about:
Published: 11 April 2016
Updated: 21 March 2017


Formstack Help Site (WIP)
#Design #Development
Ultimate Guide to Online Form Design LP
#Design #Development
Workflows Add-On LP
#Development #SVG-Animation
Rebell Peppers (WIP)
#Design #Development
Lyfe Vinyl Web App (Currently on hold)
#Design #Development


Go to the orchard, and then come back, and don't forget to bring the burlap sack. My poultice is in there, and so is my lint, and I just trod upon an upturned tack.
This ancient and well-known folk rhyme is the starting point for a soon-to-be-published set of verses by Dennis Beerpint. Mrs Gubbins contacted the poet via her metal tapping machine to talk to him about it, but the transcript of their conversation was pecked at by flocks of cinnamon-rumped trogons and vernal hanging-parrots and rendered illegible, alas, alack.


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Marek Marusic
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Oct 7, 2017
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Should you love what to do, or “live to work”? This post suggests not:
Under neoliberalism, Lordon argues, employers have enough leverage to insist that workers’ desires align completely with that of employers, so that all their life force essentially goes into enterprise.
For example,
Pret à Manger notoriously demands this kind of excitement from its fast-food workers (they are supposed to smile and make small talk with customers and rate other employees in terms of their team spirit and so on) — in Lordon’s words, such employers aim for “the ultimate behavioral performance in which the prescribed emotions are no longer merely outwardly enacted, but ‘authentically’ felt.” They have to smile and “really” mean it.
In other words, the notion that you should love what you do is just another way for your employer to control and exploit you. If you “should” love what you do but in fact don’t, you “deserve” to lose your job.
On the other hand, there are long traditions of love of work in both the crafts and professions. A skilled craftsperson takes appropriate pride in her or his technical achievements, which are the product of many long hours of apprenticeship and practice. Professionals choose their vocation (clergy, academic, physician) not as “just a job” — not for the sake of money — but in response to a “call.”
But skilled workers don’t love all of the work that they do. They love the most valuable and challenging aspects of their work, the things that can lead to great achievements. Call this edifying work. I’m inclined to agree that love of edifying work is a virtue. But there’s also hackwork, which is work done without skill, intelligence, or imagination. Hackwork isn’t edifying — it doesn’t cultivate our abilities or lead to any other improvements — and it’s not valuable for its own sake — it’s just a means to get by and survive another day. Consequently, love of hackwork is a vice. A virtuous worker loves edifying work — lives to do edifying work — but does hackwork only grudgingly or with resignation and when it’s necessary.[1]
Pret à Manger is not trying to cultivate a love of edifying work among its employees — or, at least, I’m guessing that it’s not. This is because — again, I’m guessing — working at Pret à Manger generally does not involve much skill, intelligence, or imagination, at least for “team members.” The tasks of team members are routinized and highly regulated. In other words, the kind of work done at Pret à Manger is hackwork. And so the problem is that Pret à Manger is trying to cultivate vices among its employees.
My friend Charles shared the blog post above on Facebook, with some vague musings about its relevance to higher education. Traditionally, of course, education is one of the professions; and consequently educators are supposed to love what we do. This is in line with what I’ve said above: given that education is edifying work, it’s virtuous to love being an educator.
However, in the names of “accountability” and “efficiency,” there are several prominent efforts to make education more routinized and regulated. Educators at all levels must regularly document their work in order to satisfy accountability requirements. MOOCs and other projects are attempting to replace live interactions and personalized feedback with prerecorded lectures and automated quizzes. These efforts are gradually making education more hackwork than edifying work. Consequently, the love of being an educator is becoming less of a virtue and more of a vice.
This does not imply that we should abandon our love of education. The alternative is to resist the efforts to transform education into hackwork.
One important exception: Sometimes hackwork can be done as a sort of break. For example, chopping wood and some kinds of cleaning (such as washing dishes or routine sweeping) are clearly hackwork. And many people enjoy doing these activities, as a way to “take their mind off things.” I would suggest that, in these cases, hackwork is enjoyed as recreation; that is, as a way to rest and refresh oneself, especially mentally and emotionally. ↩


HEAD Click to go to game page Click to go to About Us page ======= Game Page About Page >>>>>>> 5759a9aced0e384b2169885ce0a14dd10c727752


<- me working on an mural for Slush China office
This site is a collection of works I made during past two years. In 2018, I joined the curation team at Baoku Jiangxin Art Center as visual designer. Summer 2019, I created visual identiies for Slush Shenzhen & Shanghai 2019. This fall, I joined ZILLIZ and has been primarily working on the visuals for a newly open sourced vector search engine, Milvus.
Meanwhile, I have been working on an side project siteless.
📮zyyerin@gmail.com


I am a nice and playful dog, I am friendly but definitely do not take nonsense from anyone.
I love it when you pet me or pat my back, it feels nice.
My Favorite Toys are:
My Favorite foods are:
Thank you for checking out my webpage.
Have a nice day!
I am on Facebook


Reports ternary conditional operators of the form
x?true:false
or similar, which can be trivially simplified.


Novalk Djokovic is set to miss the US Open after one of his doctors made an announcement that he will need six to twelve weeks to recovers from a elbow injury.
But Andy Murrey's chances of playing at Flushing Meadows would appear more positive, with the Scot continuing his rehabilitation from a hip problem.
The last grandslam of the year starts in just under five weeks on August 28, meaning Djokovic will run out of time if the latest assessment is correct.
Injured Djokovic starting to consider a break away from tennis
The 12-time major champion was
forced to retire injured during his Wimbeldon quarter-final against Tomas Berdych earlier this month and
said after the match that he had been feeling pain in his right elbow for over a year and a half. According
to his physio its not doing very well. If he does return he will be more likely to injure it again.
He has since been seeking advice from specialists, including Serbian doctor Zdenko Milinkovic, who said Djokovic is suffering from a "bruised bone due to excessive playing".
"Nole must rest for six to 12 weeks," Milinkovic told Sportski Zurnal, a sports newspaper in Serbia.
The next examination will know wether this asdsessment stays or changes. During this period, he is not going to train with a racket but he will run other sessions, such as fitness and the like.


---
layout: page
title: Proximity between jobs
subtitle: Document similarity to get job similar to each other + force directed graph in D3 for vizualisation.
use-site-title: true
---
Objectives
The goal of this post is to find jobs that are similar to each others,
using public data only, mainly focused on tasks required for each jobs.
Data
We used data available on INSEE (French governemental agencies for statistics) website.
You can find data about ROME at the following link data for each type of job.
We can find the following informations:
CODE ROME: it's an ID (one letter followed by four numbers) used in France to classify jobs.
Libellé ROME: which is just the name of the job.
Tasks related to ROME: we found another dataset to link task to related job (by CODE ROME).
Method
Document similarity is mainly computed using description of tasks related to job.
Therefor, when two jobs require similar skill sets and tasks, they will be close.
The main steps are the following:
Stop words removal using a dictionnary
Stemming of words
Creation of a TF-IDF matrix
Computation of a cosine similarity between documents (using TF-IDF matrix as input)
For the final visualization, I reduced the number of job available (health sector only) but for a complete application,
I should probably introduce a new widget to allow user to filter depending on what he want to see.
Here we define function and custom transformers and estimators.
We can see that everything is in a custom transformer to be introduced in a scikit-learn Pipeline.
I think it's a really good way to have clean code and to reuse snipset of code in many projects.
Again, it's just a sample of job for demonstration purpose. We kept only job related to health sector
for the visualization.
Final Result
And here is the final result ! You can see that jobs are filtered so that we can represent it in a force directed graph.
The strength of the similarity is given by edge's size.
Here we just show a link if the proximity is above a a fixed threshold.
Result for Health-related jobs
Please use scrolling to see the visualization in full.


|
SimJava v2.0 |
||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--java.lang.Thread | +--eduni.simjava.Sim_entity
This class represents the types of entities or processes of the simulation.
To define an entity type for the simulation this class needs to be extended.
The subclass needs to override body()
to define the entity's
behaviour. Methods beginning with the prefix sim_
are runtime
methods to be called within body()
.
Since version 2.0, entities don't need to check transient or termination
conditions. These are all maintained and checked by Sim_system
.
To check whether the termination condition has been satisfied, entities
should use the Sim_system.running()
method. As such. entities
that exhibit a continuous, looping behaviour should have a body()
as follows:
...
public void body() {
while (Sim_system.running()) {
...
// Entity's behaviour
...
}
}
...
Entities are provided with a selection of runtime methods to implement their behaviour. The main runtime method families are the following:
sim_schedule
methods. These methods are used to schedule events to other
entities in the simulation.
sim_wait
methods. These methods are used to wait for an incoming event.
Alternatively, sim_select
or sim_get_next
methods may be
used to check also for events that arrived while the entity was busy.
sim_pause
methods. These methods are used when the entity is inactive.
Examples of such behaviour are timeouts and delay intervals between event scheduling.
sim_process
methods. These methods are used when the entity is to
be considered active. The difference between these methods and those of the
sim_pause
family is related to statistical measurements. If utilisation
is being measured by the entity then a sim_process
method should be used
when the entity is considered to be busy processing.
In order to collect statistical measurements from entities a Sim_stat
object needs
to be defined for the entity. This is the object in charge of collecting observations and
calculating measurements. Measures of interest could be default of custom. Default measures are
those which can be considered in most simulations and whose update can be automatically carried
out without user effort. Custom measures on the other hand are measures with simulation specific
meaning that need to be updated by the user. An example of an entity defining and updating measures
of interest follows:
class AnEntityType extends Sim_entity {
...
Sim_stat stat;
...
AnEntityType(String name) {
...
stat = new Sim_stat();
stat.add_measure(Sim_stat.UTILISATION); // A default measure
stat.add_measure(Sim_stat.RESIDENCE_TIME); // Another default measure
stat.add_measure("Loss rate", Sim_stat.RATE_BASED); // A rate-based custom measure
set_stat(stat);
...
}
...
public void body() {
...
if (aLossOccured) {
stat.update("Loss rate", Sim_system.sim_clock()); // The custom measure is updated
}
...
sim_completed(e); // An event has completed service
...
}
...
}
The sim_completed
method seen above, is used to specify when a received event
is considered to have completed all service at the entity. This method needs to be called to
notify the entity's Sim_stat
object and to notify Sim_system
that
an event has completed service. More details on statistical measurements can be found in
the SimJava Tutorial.
One additional note concerning entities' behaviour has to do with output analysis. In the case
of independent replications having been defined as an output analysis method, it could be
necessary to provide code with which to reset an entity's fields. This is required since, for
each replication, the entities must be reset to their original state. This is not required for
primitive types or immutable objects. However if objects such as a Vector
have been
modified during the simulation run, they should be reset to their original state. This would take
place at the end of the body()
method. For example:
class AnEntityType extends Sim_entity {
...
Vector aVector = new Vector();
...
public void body() {
while (Sim_system.running()) {
...
aVector.add(anObject); // The Vector's contents are modified
...
}
aVector.clear(); // The Vector is reset to its original state
}
...
}
Sim_event
,
Sim_stat
,
Sim_system
| Fields inherited from class java.lang.Thread |
MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY |
| Constructor Summary | |
Sim_entity(java.lang.String name)
Creates a new entity. |
|
Sim_entity(java.lang.String name,
java.lang.String image_name,
int x,
int y)
The constructor for use with the eduni.simanim animation package. |
| Method Summary | |
void |
add_generator(Generator generator)
Add a sample generator to this entity. |
void |
add_param(Anim_param param)
Add a parameter to this entity. |
void |
add_port(Sim_port port)
Add a port to this entity. |
void |
body()
The method which defines the behaviour of the entity. |
protected java.lang.Object |
clone()
Get a clone of the entity. |
int |
get_id()
Get the unique id number assigned to this entity |
java.lang.String |
get_name()
Get the name of this entity |
Sim_port |
get_port(Sim_event ev)
Get the port through which an event arrived. |
Sim_port |
get_port(java.lang.String name)
Get the port with a given name. |
Sim_stat |
get_stat()
Get the entity's Sim_stat object. |
void |
send_on(Sim_event ev,
Sim_port p)
Send on an event to an other entity through a port. |
void |
set_invisible(boolean b)
Make entity icon invisible |
void |
set_stat(Sim_stat stat)
Define a Sim_stat object for this entity. |
int |
sim_cancel(Sim_predicate p,
Sim_event ev)
Cancel the first event matching a predicate waiting in the entity's future queue. |
void |
sim_completed(Sim_event e)
Signal that an event has completed service. |
int |
sim_current()
Get the id of the currently running entity |
void |
sim_get_next(Sim_event ev)
Get the first event waiting in the entity's deferred queue, or if there are none, wait for an event to arrive. |
void |
sim_get_next(Sim_predicate p,
Sim_event ev)
Get the first event matching a predicate from the deferred queue, or if none match, wait for a matching event to arrive. |
double |
sim_hold_for(double delay,
Sim_event ev)
Deprecated. As of SimJava version 2.0, replaced by sim_pause_for(double delay, Sim_event ev) .
This method was deprecated because of the new statistical support present to entities. When an
entity holds it must now be specified if the hold corrssponds to the entity being active or
inactive. The original sim_hold() methods are equivalent to their respective
sim_pause() methods. |
void |
sim_hold(double delay)
Deprecated. As of SimJava version 2.0, replaced by sim_pause(double delay) .
This method was deprecated because of the new statistical support present to entities. When an
entity holds it must now be specified if the hold corrssponds to the entity being active or
inactive. The original sim_hold() methods are equivalent to their respective
sim_pause() methods. |
double |
sim_pause_for(double delay,
Sim_event ev)
Set the entity to be inactive for a time period or until it is interrupted by the arrival of an event. |
double |
sim_pause_for(Sim_predicate p,
double delay,
Sim_event ev)
Set the entity to be inactive for a time period or until it is interrupted by the arrival of an event matching a predicate. |
void |
sim_pause_until(Sim_event ev)
Set the entity to be inactive until it receives an event. |
void |
sim_pause_until(Sim_predicate p,
Sim_event ev)
Set the entity to eb inactive until it receives an event matching a specific predicate. |
void |
sim_pause(double delay)
Set the entity to be inactive for a time period. |
double |
sim_process_for(double delay,
Sim_event ev)
Set the entity to be active for a time period or until it is interrupted by the arrival of an event. |
double |
sim_process_for(Sim_predicate p,
double delay,
Sim_event ev)
Set the entity to be active for a time period or until it is interrupted by the arrival of an event matching a predicate. |
void |
sim_process_until(Sim_event ev)
Set the entity to be active until it receives an event. |
void |
sim_process_until(Sim_predicate p,
Sim_event ev)
Set the entity to be active until it receives an event matching a specific predicate. |
void |
sim_process(double delay)
Set the entity to be active for a given time period. |
void |
sim_putback(Sim_event ev)
Put an event back on the deferred queue. |
void |
sim_schedule(int dest,
double delay,
int tag)
Send an event to another entity by id number and with no data. |
void |
sim_schedule(int dest,
double delay,
int tag,
java.lang.Object data)
Send an event to another entity by id number, with data. |
void |
sim_schedule(Sim_port dest,
double delay,
int tag)
Send an event to another entity through a port, with no data. |
void |
sim_schedule(Sim_port dest,
double delay,
int tag,
java.lang.Object data)
Send an event to another entity through a port, with data. |
void |
sim_schedule(java.lang.String dest,
double delay,
int tag)
Send an event to another entity through a port with a given name, with no data. |
void |
sim_schedule(java.lang.String dest,
double delay,
int tag,
java.lang.Object data)
Send an event to another entity through a port with a given name, with data. |
void |
sim_select(Sim_predicate p,
Sim_event ev)
Extract the first event matching a predicate waiting in the entity's deferred queue. |
void |
sim_trace(int level,
java.lang.String msg)
Write a trace message. |
double |
sim_wait_for(double delay,
Sim_event ev)
Wait for an event to arrive or until a time period elapsed. |
double |
sim_wait_for(Sim_predicate p,
double delay,
Sim_event ev)
Wait for an event matching a specific predicate to arrive or until a time period elapses. |
void |
sim_wait_for(Sim_predicate p,
Sim_event ev)
Wait for an event matching a specific predicate. |
void |
sim_wait(Sim_event ev)
Wait for an event to arrive. |
int |
sim_waiting()
Count how many events are waiting in the entiy's deferred queue |
int |
sim_waiting(Sim_predicate p)
Count how many events matching a predicate are waiting in the entity's deferred queue. |
| Methods inherited from class java.lang.Thread |
activeCount, checkAccess, countStackFrames, currentThread, destroy, dumpStack, enumerate, getContextClassLoader, getName, getPriority, getThreadGroup, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, resume, run, setContextClassLoader, setDaemon, setName, setPriority, sleep, sleep, start, stop, stop, suspend, toString, yield |
| Methods inherited from class java.lang.Object |
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
public Sim_entity(java.lang.String name)
name
- The name to be associated with this entitypublic Sim_entity(java.lang.String name, java.lang.String image_name, int x, int y)
eduni.simanim
animation package.name
- The name to be associated with this entityimage_name
- The name of the gif image file for this entity's
icon (without the .gif extension).x
- The X co-ordinate at which the entity should be drawny
- The Y co-ordinate at which the entity should be drawn| Method Detail |
public void set_invisible(boolean b)
public java.lang.String get_name()
public int get_id()
public Sim_port get_port(Sim_event ev)
ev
- The eventnull
if
it could not be foundpublic Sim_port get_port(java.lang.String name)
name
- The name of the port to search fornull
if it could not be foundpublic void add_port(Sim_port port)
port
- The port to addpublic void add_param(Anim_param param)
eduni.simanim
package for animation.param
- The parameter to addpublic void set_stat(Sim_stat stat)
Sim_stat
object for this entity.param
- The Sim_stat
objectpublic Sim_stat get_stat()
Sim_stat
object.Sim_stat
object defined for this entity or null
if none is defined.public void body()
public void sim_trace(int level, java.lang.String msg)
level
- The level at which the trace should be printed, used
with Sim_system.set_trace_level()
to control
what traces are printedmsg
- The message to be printedpublic void sim_completed(Sim_event e)
e
- The event that has completed servicepublic void sim_schedule(int dest, double delay, int tag, java.lang.Object data)
9999
is reserved.dest
- The unique id number of the destination entitydelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.data
- The data to be sent with the event.public void sim_schedule(int dest, double delay, int tag)
9999
is reserved.dest
- The unique id number of the destination entitydelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.public void sim_schedule(Sim_port dest, double delay, int tag, java.lang.Object data)
9999
is reserved.dest
- The port to send the event throughdelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.data
- The data to be sent with the event.public void sim_schedule(Sim_port dest, double delay, int tag)
9999
is reserved.dest
- The port to send the event throughdelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.public void sim_schedule(java.lang.String dest, double delay, int tag, java.lang.Object data)
9999
is reserved.dest
- The name of the port to send the event throughdelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.data
- The data to be sent with the event.public void sim_schedule(java.lang.String dest, double delay, int tag)
9999
is reserved.dest
- The name of the port to send the event throughdelay
- How long from the current simulation time the event
should be senttag
- An user-defined number representing the type of event.public int sim_waiting(Sim_predicate p)
p
- The event selection predicatepublic int sim_waiting()
public void sim_select(Sim_predicate p, Sim_event ev)
p
- The event selection predicateev
- The event matched is copied into ev if it points to a blank event,
or discarded if ev
is null
public int sim_cancel(Sim_predicate p, Sim_event ev)
p
- The event selection predicateev
- The event matched is copied into ev
if it points to a blank event,
or discarded if ev
is null
public void sim_putback(Sim_event ev)
ev
- The event to put backpublic void sim_get_next(Sim_predicate p, Sim_event ev)
p
- The predicate to matchev
- The event matched is copied into ev
if it points to a blank event,
or discarded if ev
is null
public void sim_get_next(Sim_event ev)
ev
- The event matched is copied into ev
if it points to a blank event,
or discarded if ev
is null
public int sim_current()
public void send_on(Sim_event ev, Sim_port p)
ev
- The event to sendp
- The port through which to send the eventprotected java.lang.Object clone() throws java.lang.CloneNotSupportedException
clone
in class java.lang.Object
public void add_generator(Generator generator)
Sim_system
to reseed the generator. This is performed when independent replications have been selected
as an output analysis method. If this method is not used for a generator then the seed used in the
subsequent replication will be the last one produced by the generator in the previous run.generator
- The sample generator to be added to the entitypublic void sim_process(double delay)
delay
- The time period for which the entity will be activepublic void sim_process_until(Sim_event ev)
ev
- The event to which the arriving event will be copied topublic void sim_process_until(Sim_predicate p, Sim_event ev)
p
- The predicate to matchev
- The event to which the arriving event will be copied topublic double sim_process_for(double delay, Sim_event ev)
delay
- The time period for which the entity will be active unless interruptedev
- The event to which the arriving event will be copied topublic double sim_process_for(Sim_predicate p, double delay, Sim_event ev)
p
- The predicate to matchdelay
- The time period for which the entity will be active unless interruptedev
- The event to which the arriving event will be copied topublic void sim_pause(double delay)
delay
- The time period for which the entity will be inactivepublic void sim_pause_until(Sim_event ev)
ev
- The event to which the arriving event will be copied topublic void sim_pause_until(Sim_predicate p, Sim_event ev)
p
- The predicate to matchev
- The event to which the arriving event will be copied topublic double sim_pause_for(double delay, Sim_event ev)
delay
- The time period for which the entity will be inactive unless interruptedev
- The event to which the arriving event will be copied topublic double sim_pause_for(Sim_predicate p, double delay, Sim_event ev)
p
- The predicate to matchdelay
- The time period for which the entity will be inactive unless interruptedev
- The event to which the arriving event will be copied topublic void sim_wait(Sim_event ev)
ev
- The event to which the arriving event will be copied topublic void sim_wait_for(Sim_predicate p, Sim_event ev)
Since 2.0 Sim_syztem
checks the predicate for the entity. This avoids unnecessary context
switches for non-matching events.
p
- The predicate to matchev
- The event to which the arriving event will be copied topublic double sim_wait_for(double delay, Sim_event ev)
delay
- The maximum time to waitev
- The event to which the arrving event will be copied topublic double sim_wait_for(Sim_predicate p, double delay, Sim_event ev)
p
- The predicate to matchdelay
- The maximum time period for which to waitev
- The event to which the arriving event will be copied topublic void sim_hold(double delay)
sim_pause(double delay)
.
This method was deprecated because of the new statistical support present to entities. When an
entity holds it must now be specified if the hold corrssponds to the entity being active or
inactive. The original sim_hold()
methods are equivalent to their respective
sim_pause()
methods.
delay
- The time period for which to holdpublic double sim_hold_for(double delay, Sim_event ev)
sim_pause_for(double delay, Sim_event ev)
.
This method was deprecated because of the new statistical support present to entities. When an
entity holds it must now be specified if the hold corrssponds to the entity being active or
inactive. The original sim_hold()
methods are equivalent to their respective
sim_pause()
methods.
delay
- The maximum time period for which to holdev
- The event to which the arriving event will be copied to
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A simple demonstrator showing music generated using the second derivative of pixel differences in a video, using canvas. It uses code and assets created by Alex Bainter.