Type Definitions
-
gameDataObject
-
The complete gameData object sent to player
Type:
- object
Properties:
Name Type Description command
string Command sent by client status
string Response status date
date Datetime of this object's creation time (to sync players gametime) response
object Whole response for client Properties
Name Type Description gameId
string Game's ID host
string Game's host ID settings
object Settings object captureTime
number Time a client has to be in beacon's close range to capture ite afterCaptureDelay
number Time a client had to wait after beacon's last move to collect points for it gameTime
number Game's time in minutes victoryPoints
number Victory points required to win the game pointsPerTick
number Points gained on each server tick for each captured beacon tickPeriod
number Time after which a new tick will start counting down maxPlayers
number Up to this number of players can be in this game beacons
array.<object> Beacons array taking part in this game Properties
Name Type Description beaconId
string Beacon's unique ID players
array.<object> Players array Properties
Name Type Description userId
string Client's unique device ID ready
boolean Player's ready status (each player has to be ready before game gets started) -
gameObject
-
The complete gameObject shared between players stored in currentGames object.
Type:
- object
Properties:
Name Type Description gameId
string Current game's ID. host
string Holds host's userId. state
string Current game's state. settings
object Current game's settings. Properties
Name Type Description captureTime
number At least this amount of seconds have to pass to capture a beacon by standing near it. afterCaptureDelay
number To gain points at least this amount of seconds have to pass counting from beacon's last movement. gameTime
number Game's maximum length in minutes. victoryPoints
number Points required to get by player to win. pointsPerTick
number Points received per tick for each controlled beacon. tickPeriod
number Time in seconds after which points will be granted to player. maxPlayers
number Maximum players amount that can join this game. beacons
array Beacons array. players
array Players array. sys
object Holds every sys-only data like intervals. Updated after GAME command from host. Properties
Name Type Description scoreInterval
interval Interval in which player scoring will update. syncInterval
interval Interval in which command SYNC will be send to players with all data updates. progress
gameObjectProgress Game's progress object in which all game-in-progress data is stored after GAME command from host. -
gameObjectProgress
-
gameObject's progress object in which whole actual game goes on.
Type:
- object
Properties:
Name Type Description gameStartTime
date Time of game's beginning gameLength
Number Game length calculated on gameObject.settings.gameTime beacons
array.<object> Array of all beacons taking part in this game. Properties
Name Type Description beaconId
string Current beacon's ID state
string Current beacon's state (captured/in-capture) owner
string Current beacon's owner (playerID/neutral) currentCapturingTime
number Time passed on standing near the beacon to capture it movementLockTime
number Time that has to pass before beacon starts giving points after it last moved. stats
object Stats object, used only for after-game statistics screen Properties
Name Type Description allCaptures
array.<object> Array with each captured made on the beacon Properties
Name Type Description capture
object Object with user's ID and capture date Properties
Name Type Description userId
string Capturing player's ID date
date Capture's time lastCaptureTry
number Time of last capture try capturingTimeTotal
number Total time spent on capture tries by players longestInHold
object Object with informations about player having the beacon for the longest amount of time Properties
Name Type Description by
string Player's ID who had the beacon captured for the longest time firstCapturedBy
string Player's ID who captured the beacon first sys
object System object, not send to player Properties
Name Type Description captureInterval
interval Beacon's private capture interval that starts on CAPTURE command sent from player lastCaptures
array.<string> Beacon's last captures array used for determining if beacon should be neutral now Properties
Name Type Description array
string Players userIDs that last tried to capture the beacon players
array.<object> Array of all players taking part in this game. Properties
Name Type Description lastSyncDate
date Time of last synchronization between client and server (SYNC command) userId
string Current player's userID score
number Current player's accmulated score stats
object Stats object, used only for after-game statistics screen Properties
Name Type Description timeSpentOnCaptures
number Total time spent on capture tries totalCaptureTries
number Total amount of capture tries succeededCaptures
number Total amount of succeeded(not blocked) captures failedCaptures
number Total amount of blocked captures


Correspondence
Academy inspections: Nicky Morgan writes to Ofsted
Secretary of State for Education Nicky Morgan's letter to Ofsted about their role in multi-academy trust (MAT) inspections.
Details
The Education Minister writes to Sir Michael Wilshaw about the inspection of academy chains.


Not everything that is faced can be changed, but nothing can be changed until it is faced.
-James Baldwin
Hi there, my name is Sylvja and I have a true passion for traveling around the world. Through my travels I have been able to learn a number of languages and aspirations I have for my life. Currently, i am enrolled at Epicodus which is a coding bootcamp, I chose to attend a coding bootcamp because I strive to continuosly learn new skills that could benefit me in life. I find coding to be an important skill because it allows you to understand the dynamic language used to design websites and apps viewed in everyday life. My current goal is to pass the Epicodus bootcamp couse to be able work within the tech field and help friends by desiging their personal websites.
I have a variety of hobbies that include reading history books, I love the subjects of the roaring 20s; viewing art of Louis XIV's kingdom and creations. When I get the time I love boarding a flight to a new place, I have a long list of destinations that are a must see in my lifetime. When I am in my apartment I constantly am searching for new music, I love the Classics, Hip-Hop, and House music are mainly what you'll hear blaring from my speakers. When I am not listening to music you'll find me drinking a warm cup of coffee over small-talk with a couple of my friends. Last, I have to share my biggest passion of them all...I love fashion and it's a subject I can talk about for hours.
Education:
My university years were spent reaserching at The Evergreen State College in Olympia, Washington. I spent four years conducting indepedent projects on the topic of: G ender and Sexuality through an anthropological and sociological lens. My research allowed me to be extensively in the field by traveling to Brazil, Taiwan, and Europe and referrencing texts written by anthroplogist suchs as: Margaret Mead, Michelle Rosaldo, and Nancy Scheper-Hughes. At a young age I became a fan of Chinese culture, I was 13 when I began my studies of Mandarin-Chinese which led me to getting a minor in Chinese language. I have yet to visit China, it's of course on my travel list. But I did spend a chunk of time in Taipei, Taiwan where I was able to practice my language skills extensively.
Why am I wanting to become a coder?
I want to puruse an understanding of coding because code simply is the language of computers. I have a fascination for different languages and code is one that is used to develop websites and used amongst those that have a fundamental understanding of code. I love the web and I want to be able to understand the context that goes behind webpage and application design on a deeper level. I chose to go through a bootcamp to gain the skills I need to be able to translate or write code. Code is an evolving language and one that has a large part of the future ahead of us.
Work Experience


Savor simple pleasures with a warm mug of coffee, your eggs cooked just so, and leisurely reading the morning newspaper.
See how you can dive deeper into almost any topic or current issue with a world of inspirational lectures that spark lively debates and active discussions.
Join the discussion of the latest headlines and stay in touch with world events, as we share in the thrill of sports, the controversies of politics, and the triumphs of the human spirit that make the daily news.


{% extends "base.html" %} {% block title %}Friends{% endblock %} {% block head %} {% endblock %} {% block content %} {% if user %}
Want to see more connections? Invite your friends
1st degree app user friends in {{ location_name }}: {{ friends_local_user|length }}
1st degree friends in {{ location_name }}: {{ friends_local_not_user|length }}
2nd degree friends in {{ location_name }}: {{ friends_friends_local_not_user|length }}


A horizontal or vertical fader.
Extends CanvasWidget
A set of default property settings for all Slider instances. Defaults can be overridden by user-defined properties passed to construtor.
The style property can be either 'horizontal' (the default) or 'vertical'. This determines the orientation of the Slider instance.
Draw the Slider onto its canvas context using the current .__value property.
Generates a value between 0-1 given the current pointer position in relation to the Slider's position, and triggers output.
(PointerEvent)
The pointer event to be processed.
CanvasWidget is the base class for widgets that use HTML canvas elements.
Extends DOMWidget
Create a new CanvasWidget instance
Create a the canvas element used by the widget and set some default CSS values.
A Button with three different styles: 'momentary' triggers a flash and instaneous output, 'hold' outputs the buttons maximum value until it is released, and 'toggle' alternates between outputting maximum and minimum values on press.
Extends CanvasWidget
A set of default property settings for all Button instances. Defaults can be overridden by user-defined properties passed to construtor.
A HTML select element, for picking items from a drop-down menu.
Extends DOMWidget
A set of default property settings for all Menu instances. Defaults can be overridden by user-defined properties passed to construtor.
The options array stores the different possible values for the Menu widget. There are used to create HTML option elements which are then attached to the primary select element used by the Menu.
Create primary DOM element (select) to be placed in a Panel.
Generate option elements for menu. Removes previously appended elements.
DOMWidget is the base class for widgets that use HTML canvas elements.
Extends Widget
Create a new DOMWidget instance
Create a DOM element to be placed in a Panel.
use CSS to position element element of widget
Widget is the base class that all other UI elements inherits from. It primarily includes methods for filtering / scaling output.
store all instantiated widgets.
A set of default property settings for all widgets
Create a new Widget instance
Stores filters for transforming widget output.
Initialization method for widgets. Checks to see if widget contains a 'target' property; if so, makes sure that communication with that target is initialized.
Calculates output of widget by running .__value property through filter chain. The result is stored in the .value property of the widget, which is then returned.
If the widget has a remote target (not a target inside the interface web page) this will transmit the widgets value to the remote destination.


Banka
Your Trust Our Commitment
Logout
Enter Account Type First
Bank Operations
Activate/Deactivate User accounts
Search For User Id
Submit
Create Admin/Staff
Transaction
Credit/Debit Account
User Operations
Create Bank Account
Profile
Transaction History
Reset Password
Admin/Staff Rights
View list of all bank accounts
View a specific bank account record
Search For Account Number
Submit
Delete a specific account
Search For Account Number
Submit


| 049:009 Khan | : |
And if two parties or groups among the believers fall to fighting, then make peace between them both, but if one of them rebels against the other, then fight you (all) against the one that which rebels till it complies with the Command of Allah; then if it complies, then make reconciliation between them justly, and be equitable. Verily! Allah loves those who are equitable. |
| 049:009 Maulana | : |
And if two parties of the believers quarrel, make peace between them. Then if one of them does wrong to the other, fight that which does wrong, till it return to Allah's command. Then, if it returns, make peace between them with justice and act equitably. Surely Allah loves the equitable. |
| 049:009 Pickthal | : |
And if two parties of believers fall to fighting, then make peace between them. And if one party of them doeth wrong to the other, fight ye that which doeth wrong till it return unto the ordinance of Allah; then, if it return, make peace between them justly, and act equitably. Lo! Allah loveth the equitable. |
| 049:009 Rashad | : |
If two groups of believers fought with each other, you shall reconcile them. If one group aggresses against the other, you shall fight the aggressing group until they submit to GOD's command. Once they submit, you shall reconcile the two groups equitably. You shall maintain justice; GOD loves those who are just. |
| 049:009 Sarwar | : |
If two parties among the believers start to fight against each other, restore peace among them. If one party rebels against the other, fight against the rebellious one until he surrenders to the command of God. When he does so, restore peace among them with justice and equality; God loves those who maintain justice. |
| 049:009 Shakir | : |
And if two parties of the believers quarrel, make peace between them; but if one of them acts wrongfully towards the other, fight that which acts wrongfully until it returns to Allah's command; then if it returns, make peace between them with justice and act equitably; surely Allah loves those who act equitably. |
| 049:009 Sherali | : |
And if two parties of believers fight each other, make peace between them; then if after that, one of them transgresses against the other, fight the party that transgress until it returns to the command of ALLAH. Then if it returns, make peace between them with equity, and act justly. Verily, ALLAH loves the just. |
| 049:009 Yusufali | : |
If two parties among the Believers fall into a quarrel, make ye peace between them: but if one of them transgresses beyond bounds against the other, then fight ye (all) against the one that transgresses until it complies with the command of Allah; but if it complies, then make peace between them with justice, and be fair: for Allah loves those who are fair (and just). |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > أوامره Pillars of Islam> Islamic> Oneness of Allah> His Order أركان الإسلام > التوحيد > توحيد الله تعالي > حبه تعالى Pillars of Islam> Islamic> Oneness of Allah> His Love الجهاد > (تعليمات حربية (أحكام خاصة > (تعليمات حربية (أحكام خاصة > الوساطة والإصلاح في الحرب Jihad> Warlike Instructions\Special Rules> Warlike Instructions\Special Rules> Mediation and Reform in War الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الإصلاح بين الناس Man and The Moral Relations> Good Morals>Making Peace among People الإنسان والعلاقات الاجتماعية > المجتمع > الإصلاح بين الناس Man and The Social Relations>The Society>Making Peace among People العلاقات القضائية > تنظيمات قضائية > الحكم بالعدل Judicial Relationships>Juridical Regulations>To Rule in Just العلاقات القضائية > تنظيمات قضائية > العدل Judicial Relationships>Juridical Regulations>Justice
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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Connects to a Corda node via RPC and performs RPC operations on the node.
fun main(args: Array<String>): Unit


[1]
located midtown hotel i highly recommend the kimption muse delivered on all these levels.
[2]
thus is you are looking for a centrally located midtown hotel i highly recommend the muse.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface TTest
An interface for Student's t-tests.
Tests can be:
Test statistics are available for all tests. Methods including "Test" in
in their names perform tests, all other methods return t-statistics. Among
the "Test" methods, double-
valued methods return p-values;
boolean-
valued methods perform fixed significance level tests.
Significance levels are always specified as numbers between 0 and 0.5
(e.g. tests at the 95% level use alpha=0.05
).
Input to tests can be either double[]
arrays or
StatisticalSummary
instances.
| Method Summary | |
|---|---|
double |
homoscedasticT(double[] sample1,
double[] sample2)
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances. |
double |
homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the
assumption of equal subpopulation variances. |
double |
homoscedasticTTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances. |
boolean |
homoscedasticTTest(double[] sample1,
double[] sample2,
double alpha)
Performs a two-sided t-test evaluating the null hypothesis that sample1
and sample2 are drawn from populations with the same mean,
with significance level alpha , assuming that the
subpopulation variances are equal. |
double |
homoscedasticTTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances. |
double |
pairedT(double[] sample1,
double[] sample2)
Computes a paired, 2-sample t-statistic based on the data in the input arrays. |
double |
pairedTTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays. |
boolean |
pairedTTest(double[] sample1,
double[] sample2,
double alpha)
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and
sample2 is 0 in favor of the two-sided alternative that the
mean paired difference is not equal to 0, with significance level
alpha . |
double |
t(double[] sample1,
double[] sample2)
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances. |
double |
t(double mu,
double[] observed)
Computes a t statistic given observed values and a comparison constant. |
double |
t(double mu,
StatisticalSummary sampleStats)
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu . |
double |
t(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the
assumption of equal subpopulation variances. |
double |
tTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays. |
boolean |
tTest(double[] sample1,
double[] sample2,
double alpha)
Performs a two-sided t-test evaluating the null hypothesis that sample1
and sample2 are drawn from populations with the same mean,
with significance level alpha . |
double |
tTest(double mu,
double[] sample)
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu . |
boolean |
tTest(double mu,
double[] sample,
double alpha)
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu . |
double |
tTest(double mu,
StatisticalSummary sampleStats)
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats
with the constant mu . |
boolean |
tTest(double mu,
StatisticalSummary sampleStats,
double alpha)
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is
drawn equals mu . |
double |
tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances. |
boolean |
tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double alpha)
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe
datasets drawn from populations with the same mean, with significance
level alpha . |
| Method Detail |
|---|
double pairedT(double[] sample1, double[] sample2) throws IllegalArgumentException, MathException
t(double, double[])
, with
mu = 0
and the sample array consisting of the (signed)
differences between corresponding entries in sample1
and
sample2.
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not met
MathException
- if the statistic can not be computed do to a
convergence or other numerical error.double pairedTTest(double[] sample1, double[] sample2) throws IllegalArgumentException, MathException
The number returned is the smallest significance level at which one can reject the null hypothesis that the mean of the paired differences is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0. For a one-sided test, divide the returned value by 2.
This test is equivalent to a one-sample t-test computed using
tTest(double, double[])
with mu = 0
and the sample
array consisting of the signed differences between corresponding elements of
sample1
and sample2.
Usage Note:
The validity of the p-value depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valueboolean pairedTTest(double[] sample1, double[] sample2, double alpha) throws IllegalArgumentException, MathException
sample1
and
sample2
is 0 in favor of the two-sided alternative that the
mean paired difference is not equal to 0, with significance level
alpha
.
Returns true
iff the null hypothesis can be rejected with
confidence 1 - alpha
. To perform a 1-sided test, use
alpha * 2
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
0 < alpha < 0.5
sample1
- array of sample data valuessample2
- array of sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the preconditions are not met
MathException
- if an error occurs performing the testdouble t(double mu, double[] observed) throws IllegalArgumentException
This statistic can be used to perform a one sample t-test for the mean.
Preconditions:
mu
- comparison constantobserved
- array of values
IllegalArgumentException
- if input array length is less than 2double t(double mu, StatisticalSummary sampleStats) throws IllegalArgumentException
sampleStats
to mu
.
This statistic can be used to perform a one sample t-test for the mean.
Preconditions:
observed.getN() > = 2
.
mu
- comparison constantsampleStats
- DescriptiveStatistics holding sample summary statitstics
IllegalArgumentException
- if the precondition is not metdouble homoscedasticT(double[] sample1, double[] sample2) throws IllegalArgumentException
t(double[], double[])
.
This statistic can be used to perform a (homoscedastic) two-sample t-test to compare sample means.
The t-statisitc is
t = (m1 - m2) / (sqrt(1/n1 +1/n2) sqrt(var))
where n1
is the size of first sample;
n2
is the size of second sample;
m1
is the mean of first sample;
m2
is the mean of second sample
and var
is the pooled variance estimate:
var = sqrt(((n1 - 1)var1 + (n2 - 1)var2) / ((n1-1) + (n2-1)))
with var1
the variance of the first sample and
var2
the variance of the second sample.
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not metdouble t(double[] sample1, double[] sample2) throws IllegalArgumentException
homoscedasticT(double[], double[])
.
This statistic can be used to perform a two-sample t-test to compare sample means.
The t-statisitc is
t = (m1 - m2) / sqrt(var1/n1 + var2/n2)
where n1
is the size of the first sample
n2
is the size of the second sample;
m1
is the mean of the first sample;
m2
is the mean of the second sample;
var1
is the variance of the first sample;
var2
is the variance of the second sample;
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not metdouble t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws IllegalArgumentException
StatisticalSummary
instances, without the
assumption of equal subpopulation variances. Use
homoscedasticT(StatisticalSummary, StatisticalSummary)
to
compute a t-statistic under the equal variances assumption.
This statistic can be used to perform a two-sample t-test to compare sample means.
The returned t-statisitc is
t = (m1 - m2) / sqrt(var1/n1 + var2/n2)
where n1
is the size of the first sample;
n2
is the size of the second sample;
m1
is the mean of the first sample;
m2
is the mean of the second sample
var1
is the variance of the first sample;
var2
is the variance of the second sample
Preconditions:
sampleStats1
- StatisticalSummary describing data from the first samplesampleStats2
- StatisticalSummary describing data from the second sample
IllegalArgumentException
- if the precondition is not metdouble homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws IllegalArgumentException
StatisticalSummary
instances, under the
assumption of equal subpopulation variances. To compute a t-statistic
without the equal variances assumption, use
t(StatisticalSummary, StatisticalSummary)
.
This statistic can be used to perform a (homoscedastic) two-sample t-test to compare sample means.
The t-statisitc returned is
t = (m1 - m2) / (sqrt(1/n1 +1/n2) sqrt(var))
where n1
is the size of first sample;
n2
is the size of second sample;
m1
is the mean of first sample;
m2
is the mean of second sample
and var
is the pooled variance estimate:
var = sqrt(((n1 - 1)var1 + (n2 - 1)var2) / ((n1-1) + (n2-1)))
with var1
the variance of the first sample and
var2
the variance of the second sample.
Preconditions:
sampleStats1
- StatisticalSummary describing data from the first samplesampleStats2
- StatisticalSummary describing data from the second sample
IllegalArgumentException
- if the precondition is not metdouble tTest(double mu, double[] sample) throws IllegalArgumentException, MathException
mu
.
The number returned is the smallest significance level
at which one can reject the null hypothesis that the mean equals
mu
in favor of the two-sided alternative that the mean
is different from mu
. For a one-sided test, divide the
returned value by 2.
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
mu
- constant value to compare sample mean againstsample
- array of sample data values
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valueboolean tTest(double mu, double[] sample, double alpha) throws IllegalArgumentException, MathException
sample
is drawn equals mu
.
Returns true
iff the null hypothesis can be
rejected with confidence 1 - alpha
. To
perform a 1-sided test, use alpha * 2
Examples:
sample mean = mu
at
the 95% level, use tTest(mu, sample, 0.05)
sample mean < mu
at the 99% level, first verify that the measured sample mean is less
than mu
and then use
tTest(mu, sample, 0.02)
Usage Note:
The validity of the test depends on the assumptions of the one-sample
parametric t-test procedure, as discussed
here
Preconditions:
mu
- constant value to compare sample mean againstsample
- array of sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the precondition is not met
MathException
- if an error computing the p-valuedouble tTest(double mu, StatisticalSummary sampleStats) throws IllegalArgumentException, MathException
sampleStats
with the constant mu
.
The number returned is the smallest significance level
at which one can reject the null hypothesis that the mean equals
mu
in favor of the two-sided alternative that the mean
is different from mu
. For a one-sided test, divide the
returned value by 2.
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
mu
- constant value to compare sample mean againstsampleStats
- StatisticalSummary describing sample data
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valueboolean tTest(double mu, StatisticalSummary sampleStats, double alpha) throws IllegalArgumentException, MathException
stats
is
drawn equals mu
.
Returns true
iff the null hypothesis can be rejected with
confidence 1 - alpha
. To perform a 1-sided test, use
alpha * 2.
Examples:
sample mean = mu
at
the 95% level, use tTest(mu, sampleStats, 0.05)
sample mean < mu
at the 99% level, first verify that the measured sample mean is less
than mu
and then use
tTest(mu, sampleStats, 0.02)
Usage Note:
The validity of the test depends on the assumptions of the one-sample
parametric t-test procedure, as discussed
here
Preconditions:
mu
- constant value to compare sample mean againstsampleStats
- StatisticalSummary describing sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valuedouble tTest(double[] sample1, double[] sample2) throws IllegalArgumentException, MathException
The number returned is the smallest significance level at which one can reject the null hypothesis that the two means are equal in favor of the two-sided alternative that they are different. For a one-sided test, divide the returned value by 2.
The test does not assume that the underlying popuation variances are
equal and it uses approximated degrees of freedom computed from the
sample data to compute the p-value. The t-statistic used is as defined in
t(double[], double[])
and the Welch-Satterthwaite approximation
to the degrees of freedom is used,
as described
here. To perform the test under the assumption of equal subpopulation
variances, use homoscedasticTTest(double[], double[])
.
Usage Note:
The validity of the p-value depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valuedouble homoscedasticTTest(double[] sample1, double[] sample2) throws IllegalArgumentException, MathException
tTest(double[], double[])
.
The number returned is the smallest significance level at which one can reject the null hypothesis that the two means are equal in favor of the two-sided alternative that they are different. For a one-sided test, divide the returned value by 2.
A pooled variance estimate is used to compute the t-statistic. See
homoscedasticT(double[], double[])
. The sum of the sample sizes
minus 2 is used as the degrees of freedom.
Usage Note:
The validity of the p-value depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
sample1
- array of sample data valuessample2
- array of sample data values
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valueboolean tTest(double[] sample1, double[] sample2, double alpha) throws IllegalArgumentException, MathException
sample1
and sample2
are drawn from populations with the same mean,
with significance level alpha
. This test does not assume
that the subpopulation variances are equal. To perform the test assuming
equal variances, use
homoscedasticTTest(double[], double[], double)
.
Returns true
iff the null hypothesis that the means are
equal can be rejected with confidence 1 - alpha
. To
perform a 1-sided test, use alpha * 2
See t(double[], double[])
for the formula used to compute the
t-statistic. Degrees of freedom are approximated using the
Welch-Satterthwaite approximation.
Examples:
mean 1 = mean 2
at
the 95% level, use
tTest(sample1, sample2, 0.05).
mean 1 < mean 2
,
at the 99% level, first verify that the measured mean of sample 1
is less than the mean of sample 2
and then use
tTest(sample1, sample2, 0.02)
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
0 < alpha < 0.5
sample1
- array of sample data valuessample2
- array of sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the preconditions are not met
MathException
- if an error occurs performing the testboolean homoscedasticTTest(double[] sample1, double[] sample2, double alpha) throws IllegalArgumentException, MathException
sample1
and sample2
are drawn from populations with the same mean,
with significance level alpha
, assuming that the
subpopulation variances are equal. Use
tTest(double[], double[], double)
to perform the test without
the assumption of equal variances.
Returns true
iff the null hypothesis that the means are
equal can be rejected with confidence 1 - alpha
. To
perform a 1-sided test, use alpha * 2.
To perform the test
without the assumption of equal subpopulation variances, use
tTest(double[], double[], double)
.
A pooled variance estimate is used to compute the t-statistic. See
t(double[], double[])
for the formula. The sum of the sample
sizes minus 2 is used as the degrees of freedom.
Examples:
mean 1 = mean 2
at
the 95% level, use tTest(sample1, sample2, 0.05).
mean 1 < mean 2,
at the 99% level, first verify that the measured mean of
sample 1
is less than the mean of sample 2
and then use
tTest(sample1, sample2, 0.02)
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
0 < alpha < 0.5
sample1
- array of sample data valuessample2
- array of sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the preconditions are not met
MathException
- if an error occurs performing the testdouble tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws IllegalArgumentException, MathException
The number returned is the smallest significance level at which one can reject the null hypothesis that the two means are equal in favor of the two-sided alternative that they are different. For a one-sided test, divide the returned value by 2.
The test does not assume that the underlying popuation variances are
equal and it uses approximated degrees of freedom computed from the
sample data to compute the p-value. To perform the test assuming
equal variances, use
homoscedasticTTest(StatisticalSummary, StatisticalSummary)
.
Usage Note:
The validity of the p-value depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
sampleStats1
- StatisticalSummary describing data from the first samplesampleStats2
- StatisticalSummary describing data from the second sample
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valuedouble homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) throws IllegalArgumentException, MathException
tTest(StatisticalSummary, StatisticalSummary)
.
The number returned is the smallest significance level at which one can reject the null hypothesis that the two means are equal in favor of the two-sided alternative that they are different. For a one-sided test, divide the returned value by 2.
See homoscedasticT(double[], double[])
for the formula used to
compute the t-statistic. The sum of the sample sizes minus 2 is used as
the degrees of freedom.
Usage Note:
The validity of the p-value depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
sampleStats1
- StatisticalSummary describing data from the first samplesampleStats2
- StatisticalSummary describing data from the second sample
IllegalArgumentException
- if the precondition is not met
MathException
- if an error occurs computing the p-valueboolean tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) throws IllegalArgumentException, MathException
sampleStats1
and sampleStats2
describe
datasets drawn from populations with the same mean, with significance
level alpha
. This test does not assume that the
subpopulation variances are equal. To perform the test under the equal
variances assumption, use
homoscedasticTTest(StatisticalSummary, StatisticalSummary)
.
Returns true
iff the null hypothesis that the means are
equal can be rejected with confidence 1 - alpha
. To
perform a 1-sided test, use alpha * 2
See t(double[], double[])
for the formula used to compute the
t-statistic. Degrees of freedom are approximated using the
Welch-Satterthwaite approximation.
Examples:
mean 1 = mean 2
at
the 95%, use
tTest(sampleStats1, sampleStats2, 0.05)
mean 1 < mean 2
at the 99% level, first verify that the measured mean of
sample 1
is less than the mean of sample 2
and then use
tTest(sampleStats1, sampleStats2, 0.02)
Usage Note:
The validity of the test depends on the assumptions of the parametric
t-test procedure, as discussed
here
Preconditions:
0 < alpha < 0.5
sampleStats1
- StatisticalSummary describing sample data valuessampleStats2
- StatisticalSummary describing sample data valuesalpha
- significance level of the test
IllegalArgumentException
- if the preconditions are not met
MathException
- if an error occurs performing the test
|
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| 17:30-18:00 | Intro |
| 18:00-18:30 | Configuration (Install ELK + repo) |
| 18:30-19:10 | 1st pipeline logstash + Elasticsearch |
| 19:10-19:20 | pause |
| 19:20-19:50 | 1st pipeline visualization in Kibana |
| 19:50-20:00 | Pause |
| 20:00-20:50 | 2nd pipeline logstash + Elasticsearch |
| 20:50-21:00 | Pause |
| 21:00-21:40 | 2nd pipeline visualization in Kibana |
ELK consist of three open source projects — Elasticsearch, Logstash, and Kibana — designed to take data from any source and search, analyze, and visualize it in real time. The philosophy behind these tools is that getting immediate, actionable insight from data matters.
Linux:
../../../logstash-2.1.1/bin/logstash agent -f verify.conf --configtest
| DATE OCC | Date of occurrence |
| TIME OCC | Time of occurrence |
| Crm Cd | Crime Code |
| Crm Cd Desc | Crime Code Description |
| Status | |
| Statue Desc | |
| LOCATION | Street address |
| location 1 | GPS coordinates |
| What: | Learn how to use the file input plugin |
| How: | Open 1.txt and roll up your sleeves |
| When: | Now. You have 3 minutes! |
Ærg help! https://www.elastic.co/guide/en/logstash/current/plugins-inputs-file.html
| What: | Familiarize yourself with the csv filter plugin |
| How: | Open 2.txt and read. |
| When: | Now. You have 5 minutes! |
Ærg help!
https://www.elastic.co/guide/en/logstash/current/plugins-filters-csv.html
| What: | Familiarize yourself with mutate and date filter plugins |
| How: | Open 3.txt |
| When: | Now. You have 5 minutes! |
Ærg help!
https://www.elastic.co/guide/en/logstash/current/plugins-filters-mutate.html
https://www.elastic.co/guide/en/logstash/current/plugins-filters-date.html
| What: | Familiarize yourself with elasticsearch output plugin |
| How: | Open 4.txt |
| When: | Now. You have 5 minutes! |
Ærg help!
https://www.elastic.co/guide/en/logstash/current/plugins-outputs-elasticsearch.html
Access logs generated by a script based on:
https://gist.github.com/fetep/2037301
Logs, exercises and configuration files can be found in logstash/pipelines/httpd
Windows:
..\..\..\logstash-2.1.1\bin\logstash agent -f 1.conf
Linux:
../../../logstash-2.1.1/bin/logstash agent -f 1.conf


Next: open_memstream, Previous: getwchar, Up: Stdio [Contents][Index]
mktemp
, mkstemp
, mkostemp
, mkstemps
,Synopsis
#include <stdlib.h> char *mktemp(char *path); char *mkdtemp(char *path); int mkstemp(char *path); int mkstemps(char *path, int suffixlen); int mkostemp(char *path, int flags); int mkostemps(char *path, int suffixlen, int flags); char *_mktemp_r(struct _reent *reent, char *path); char *_mkdtemp_r(struct _reent *reent, char *path); int *_mkstemp_r(struct _reent *reent, char *path); int *_mkstemps_r(struct _reent *reent, char *path, int len); int *_mkostemp_r(struct _reent *reent, char *path, int flags); int *_mkostemps_r(struct _reent *reent, char *path, int len, int flags);
Description
mktemp
, mkstemp
, and mkstemps
attempt to generate a file name
that is not yet in use for any existing file. mkstemp
and mkstemps
create the file and open it for reading and writing; mktemp
simply
generates the file name (making mktemp
a security risk). mkostemp
and mkostemps
allow the addition of other open
flags, such
as O_CLOEXEC
, O_APPEND
, or O_SYNC
. On platforms with a
separate text mode, mkstemp
forces O_BINARY
, while mkostemp
allows the choice between O_BINARY
, O_TEXT
, or 0 for default.
mkdtemp
attempts to create a directory instead of a file, with a
permissions mask of 0700.
You supply a simple pattern for the generated file name, as the string
at path. The pattern should be a valid filename (including path
information if you wish) ending with at least six ‘X
’
characters. The generated filename will match the leading part of the
name you supply, with the trailing ‘X
’ characters replaced by some
combination of digits and letters. With mkstemps
, the ‘X
’
characters end suffixlen bytes before the end of the string.
The alternate functions _mktemp_r
, _mkdtemp_r
, _mkstemp_r
,
_mkostemp_r
, _mkostemps_r
, and _mkstemps_r
are reentrant
versions. The extra argument reent is a pointer to a reentrancy
structure.
Returns
mktemp
returns the pointer path to the modified string
representing an unused filename, unless it could not generate one, or
the pattern you provided is not suitable for a filename; in that case,
it returns NULL
. Be aware that there is an inherent race between
generating the name and attempting to create a file by that name;
you are advised to use O_EXCL|O_CREAT
.
mkdtemp
returns the pointer path to the modified string if the
directory was created, otherwise it returns NULL
.
mkstemp
, mkstemps
, mkostemp
, and mkostemps
return a file
descriptor to the newly created file, unless it could not generate an
unused filename, or the pattern you provided is not suitable for a
filename; in that case, it returns -1
.
Notes
Never use mktemp
. The generated filenames are easy to guess and
there’s a race between the test if the file exists and the creation
of the file. In combination this makes mktemp
prone to attacks
and using it is a security risk. Whenever possible use mkstemp
instead. It doesn’t suffer the race condition.
Portability
ANSI C does not require either mktemp
or mkstemp
; the System
V Interface Definition requires mktemp
as of Issue 2. POSIX 2001
requires mkstemp
, and POSIX 2008 requires mkdtemp
while
deprecating mktemp
. mkstemps
, mkostemp
, and mkostemps
are not standardized.
Supporting OS subroutines required: getpid
, mkdir
, open
, stat
.
Next: open_memstream, Previous: getwchar, Up: Stdio [Contents][Index]


'Good Luck, Boys': 'No Nut November' Triggers Meme Eruption Online
While many social media users joked about the strain caused by the challenge, some suggested different forms of “abstinence” for the coming month.
The start of the month of November was marked by a peculiar development among the online crowd as a number of people prepared to partake in a sort of annual celibacy challenge.
Known as the “No Nut November”, with the “nut” in this case being slang for ejaculation, the event encourages men to endure thirty days with no sexual release.
And as those willing to undertake this challenge geared themselves for a lengthy test of willpower and endurance, many social media users went on to churn out memes to the occasion.
Some joked about the pressure they might end up facing.
And others suggested different forms of “abstinence” for the coming month.


Outline:
- Introduction
- Feature overview: Using examples, I’ll demonstrate the features of Unitils: assertion using reflection, test data management, test database maintenance, JPA / hibernate and spring integration, testing with mock objects.
- Demo: demonstration of the database maintainer, JPA / hibernate entity-database mapping test
- Architecture: Provide some insight into how Unitils works.
- Summary and roadmap: What are our plans for the future
- Q & A
Required experience:
Basic experience with unit testing. Knowledge of hibernate and spring is useful but not required.
Expected audience:
Developers, technical project leaders and architects, who are into unit testing and want to improve testing on their projects.


|
Panda3D
|
This is an "unaligned" LVecBase4. More...
Public Types | |
| enum | { num_components = 4, is_int = 0 } |
Public Member Functions | |
| __init__ () | |
| __init__ (const LVecBase4d copy) | |
| __init__ (const UnalignedLVecBase4d) | |
| __init__ (double fill_value) | |
| __init__ (double x, double y, double z, double w) | |
| fill (double fill_value) | |
| Sets each element of the vector to the indicated fill_value. More... | |
| getData () | |
| Returns the address of the first of the three data elements in the vector. More... | |
| bool | operator!= (const UnalignedLVecBase4d other) |
| bool | operator== (const UnalignedLVecBase4d other) |
| double | operator[] (int i) |
| operator[] (int i, double assign_val) | |
| set (double x, double y, double z, double w) | |
Static Public Member Functions | |
| static TypeHandle | getClassType () |
| static int | getNumComponents () |
| static int | size () |
This is an "unaligned" LVecBase4.
It has no functionality other than to store numbers, and it will pack them in as tightly as possible, avoiding any SSE2 alignment requirements shared by the primary LVecBase4 class.
Use it only when you need to pack numbers tightly without respect to alignment, and then copy it to a proper LVecBase4 to get actual use from it.
| __init__ | ( | ) |
| __init__ | ( | const LVecBase4d | copy | ) |
| __init__ | ( | const | UnalignedLVecBase4d | ) |
| __init__ | ( | double | fill_value | ) |
| __init__ | ( | double | x, |
| double | y, | ||
| double | z, | ||
| double | w | ||
| ) |
| fill | ( | double | fill_value | ) |
Sets each element of the vector to the indicated fill_value.
This is particularly useful for initializing to zero.
|
static |
| getData | ( | ) |
Returns the address of the first of the three data elements in the vector.
The remaining elements occupy the next positions consecutively in memory.
|
static |
| bool operator!= | ( | const UnalignedLVecBase4d | other | ) |
| bool operator== | ( | const UnalignedLVecBase4d | other | ) |
| double operator[] | ( | int | i | ) |
| operator[] | ( | int | i, |
| double | assign_val | ||
| ) |
| set | ( | double | x, |
| double | y, | ||
| double | z, | ||
| double | w | ||
| ) |
|
static |


--- layout: page category: spec title: "TV Control API Specification" ---
| Current Status: | Note (NOTE) |
|---|---|
| Canonical URI: |
http://www.w3.org/TR/tvcontrol-api
|
| Abstract: | This specification defines an API for sourcing audio and video media, such as TV and radio from broadcast, IPTV, or other sources, with associated channel and program metadata, and allows presentation of the media using the <video> and <audio> HTML elements. The API is agnostic of any underlying audio or video sourcing technologies. |
TV Control API SpecificationUpdates:


|
Xenomai
3.0.4
|
Region of memory dedicated to real-time allocation. More...
Data Structures | |
| struct | RT_HEAP_INFO |
| Heap status descriptor. More... | |
Macros | |
| #define | H_PRIO 0x1 /* Pend by task priority order. */ |
| Creation flags. More... | |
Functions | |
| int | rt_heap_create (RT_HEAP *heap, const char *name, size_t heapsize, int mode) |
| Create a heap. More... | |
| int | rt_heap_delete (RT_HEAP *heap) |
| Delete a heap. More... | |
| int | rt_heap_alloc_timed (RT_HEAP *heap, size_t size, const struct timespec *abs_timeout, void **blockp) |
| Allocate a block from a heap. More... | |
| static int | rt_heap_alloc_until (RT_HEAP *heap, size_t size, RTIME timeout, void **blockp) |
| Allocate a block from a heap (with absolute scalar timeout). More... | |
| static int | rt_heap_alloc (RT_HEAP *heap, size_t size, RTIME timeout, void **blockp) |
| Allocate a block from a heap (with relative scalar timeout). More... | |
| int | rt_heap_free (RT_HEAP *heap, void *block) |
| Release a block to a heap. More... | |
| int | rt_heap_inquire (RT_HEAP *heap, RT_HEAP_INFO *info) |
| Query heap status. More... | |
| int | rt_heap_bind (RT_HEAP *heap, const char *name, RTIME timeout) |
| Bind to a heap. More... | |
| int | rt_heap_unbind (RT_HEAP *heap) |
| Unbind from a heap. More... | |
Region of memory dedicated to real-time allocation.
Heaps are regions of memory used for dynamic memory allocation in a time-bounded fashion. Blocks of memory are allocated and freed in an arbitrary order and the pattern of allocation and size of blocks is not known until run time.
| #define H_PRIO 0x1 /* Pend by task priority order. */ |
Creation flags.
|
inlinestatic |
Allocate a block from a heap (with relative scalar timeout).
This routine is a variant of rt_heap_alloc_timed() accepting a relative timeout specification expressed as a scalar value.
References rt_heap_alloc_timed().
| int rt_heap_alloc_timed | ( | RT_HEAP * | heap, |
| size_t | size, | ||
| const struct timespec * | abs_timeout, | ||
| void ** | blockp | ||
| ) |
Allocate a block from a heap.
This service allocates a block from a given heap, or returns the address of the single memory segment if H_SINGLE was mentioned in the creation mode to rt_heap_create(). When not enough memory is available on entry to this service, tasks may be blocked until their allocation request can be fulfilled.
| heap | The heap descriptor. |
| size | The requested size (in bytes) of the block. If the heap is managed as a single-block area (H_SINGLE), this value can be either zero, or the same value given to rt_heap_create(). In that case, the same block covering the entire heap space is returned to all callers of this service. |
| abs_timeout | An absolute date expressed in clock ticks, specifying a time limit to wait for a block of the requested size to be available from the heap (see note). Passing NULL causes the caller to block indefinitely until a block is available. Passing { .tv_sec = 0, .tv_nsec = 0 } causes the service to return immediately without blocking in case not block is available. |
| blockp | A pointer to a memory location which will be written upon success with the address of the allocated block, or the start address of the single memory segment. In the former case, the block can be freed using rt_heap_free(). |
Referenced by rt_heap_alloc(), and rt_heap_alloc_until().
|
inlinestatic |
Allocate a block from a heap (with absolute scalar timeout).
This routine is a variant of rt_heap_alloc_timed() accepting an absolute timeout specification expressed as a scalar value.
References rt_heap_alloc_timed().
| int rt_heap_bind | ( | RT_HEAP * | heap, |
| const char * | name, | ||
| RTIME | timeout | ||
| ) |
Bind to a heap.
This routine creates a new descriptor to refer to an existing heap identified by its symbolic name. If the object does not exist on entry, the caller may block until a heap of the given name is created.
| heap | The address of a heap descriptor filled in by the operation. Contents of this memory is undefined upon failure. |
| name | A valid NULL-terminated name which identifies the heap to bind to. This string should match the object name argument passed to rt_heap_create(). |
| timeout | The number of clock ticks to wait for the registration to occur (see note). Passing TM_INFINITE causes the caller to block indefinitely until the object is registered. Passing TM_NONBLOCK causes the service to return immediately without waiting if the object is not registered on entry. |
| int rt_heap_create | ( | RT_HEAP * | heap, |
| const char * | name, | ||
| size_t | heapsz, | ||
| int | mode | ||
| ) |
Create a heap.
This routine creates a memory heap suitable for time-bounded allocation requests of RAM chunks. When not enough memory is available, tasks may be blocked until their allocation request can be fulfilled.
By default, heaps support allocation of multiple blocks of memory in an arbitrary order. However, it is possible to ask for single-block management by passing the H_SINGLE flag into the mode parameter, in which case the entire memory space managed by the heap is made available as a unique block. In this mode, all allocation requests made through rt_heap_alloc() will return the same block address, pointing at the beginning of the heap memory.
| heap | The address of a heap descriptor which can be later used to identify uniquely the created object, upon success of this call. |
| name | An ASCII string standing for the symbolic name of the heap. When non-NULL and non-empty, a copy of this string is used for indexing the created heap into the object registry. |
| heapsz | The size (in bytes) of the memory pool, blocks will be claimed and released to. This area is not extensible, so this value must be compatible with the highest memory pressure that could be expected. The valid range is between 1 byte and 2Gb. |
| mode | The heap creation mode. The following flags can be OR'ed into this bitmask, each of them affecting the new heap: |
| int rt_heap_delete | ( | RT_HEAP * | heap | ) |
Delete a heap.
This routine deletes a heap object previously created by a call to rt_heap_create(), releasing all tasks currently blocked on it.
| heap | The heap descriptor. |
| int rt_heap_free | ( | RT_HEAP * | heap, |
| void * | block | ||
| ) |
Release a block to a heap.
This service should be used to release a block to the heap it belongs to. An attempt to fulfill the request of every task blocked on rt_heap_alloc() is made once block is returned to the memory pool.
| heap | The heap descriptor. |
| block | The address of the block to free. |
| int rt_heap_inquire | ( | RT_HEAP * | heap, |
| RT_HEAP_INFO * | info | ||
| ) |
Query heap status.
This routine returns the status information about heap.
| heap | The heap descriptor. |
| info | A pointer to the returnbuffer" to copy the information to. |
| int rt_heap_unbind | ( | RT_HEAP * | heap | ) |
Unbind from a heap.
| heap | The heap descriptor. |
This routine releases a previous binding to a heap. After this call has returned, the descriptor is no more valid for referencing this object.


Shoot other players and stay alive. Press left and right to rotate, space to shoot.
Your name is .
You've been killed by .
Your score is .


Dish radius, px:
Background (255 to 0):
Dead time, s:
Dot Travel Time, ms:
Dot radius, px:
Make sound?
Sound frequency, Hz:
Sound volume (0 to 1):
Sound-border ISI, ms:
Alternate modalities?
Reset trials


NLP Problem Initialization¶
Here we are developing software to set up and keep track of all of the variables in the problem.
Functionality¶
ps, nlp = initialize_NLP(numStates=1,numControls=1,Ni=1,Nck=[2])¶
- To initialize the problem
To use:
using NLOptControl
ps, nlp = initialize_NLP(numStates=1,numControls=1,Ni=2,Nck=[2,3]);
ps = pseudospectral method related data:
NLOptControl.PS_data
Nck: [2,3]
Ni: 2
τ: Array{Float64,1}[[-1.0,0.333333],[-1.0,-0.289898,0.689898]]
ts: Array{Float64,1}[[-0.0,0.0],[-0.0,-0.0,0.0]]
ω: Array{Float64,1}[[0.5,1.5],[0.222222,1.02497,0.752806]]
ωₛ: Array{Float64,1}[[0.0,0.0],[0.0,0.0,0.0]]
t0: 0.0
tf: 0.0
DMatrix: Array{Float64,2}[[0.0 0.0 0.0; 0.0 0.0 0.0],[0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0]]
IMatrix: Array{Float64,2}[[0.0 0.0; 0.0 0.0],[0.0 0.0 0.0; 0.0 0.0 0.0; 0.0 0.0 0.0]]
stateMatrix: Array{Float64,2}[[0.0; 0.0; 0.0],[0.0; 0.0; 0.0; 0.0]]
controlMatrix: Array{Float64,2}[[0.0; 0.0],[0.0; 0.0; 0.0]]
nlp = nonlinear programming problem related data:
NLOptControl.NLP_data
numStates: 1
numControls: 1
numStatePoints: [3,4]
numControlPoints: [2,3]
lengthStateVector: 7
lengthControlVector: 5
lengthDecVector: 14
timeStartIdx: 13
timeStopIdx: 14
stateIdx: Tuple{Int64,Int64}[(1,3),(4,7)]
controlIdx: Tuple{Int64,Int64}[(8,9),(10,12)]
stateIdx_all: Tuple{Int64,Int64}[(-99,-99)]
controlIdx_all: Tuple{Int64,Int64}[(-99,-99)]
stateIdx_st: Tuple{Int64,Int64}[(-99,-99)]
controlIdx_ctr: Tuple{Int64,Int64}[(-99,-99)]
decisionVector: [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
Comments¶
- Lots of zeros right now because we still have a lot of initializing to do.
- numControls and numStates can both be greater than 1.
- The value of Ni must match the length of Nck
generate_Fake_data(nlp,ps,γ)¶
- Generating some data to play with is useful:
nlp2ocp(nlp,ps)¶
- Turning the nonlinear-programming problem into an optimal control problem
- This function basically takes a large design variable an sorts it back into the original variables
ζ, approx_int_st = integrate_state(ps,nlp)¶
Approximates integral.
To use this function with Gaussian Quadrature (the default method):
ζ, approx_int_st = integrate_state(ps,nlp)
To use this function with the LGRIM:
integrate_state(ps,nlp;(:mode=>:LGRIM))
Examples¶
- In these examples we use:
- Demonstrate functionality to setup optimal control problem
- Also include the development scripts of these functions
- There is not a webpage for all examples, but the interested user can check out them out using IJulia
- These examples can be:
Viewed remotely on using the jupyter nbviewer.
Viewed locally and interacted using IJulia
To do this in julia type:
using IJulia notebook(dir=Pkg.dir("NLOptControl/examples/NLP2OCP/"))
References


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Hi, I'm Aditi Jain
Projects
JobChalk »
"Pinterest for Jobs" RAILS | JAVASCRIPT
Easily save, track, and apply to jobs you're interested in saving for later. 3rd place at 2012 LinkedIn DevelopHer Hackathon
DroidXtend »
3D mobile controller JAVA | ANDROID SDK
Interact with 3D models on your computer using your phone. Best Android App (sponsored by Google) at 2011 PennApps Hackathon
Friend Shuffler »
Random Facebook friend browser COFFEESCRIPT | FACEBOOK API
Flip through random subsets of your contacts to ensure you are staying in touch with everyone
Past experiments
- ZeroTable found you the perfect restaurant reservations with zero effort
- Independent epidemiology (YES) and cross-border M&A (Wharton) research
- Created Project Literacy which raised ~$10K for Room to Read through local book sales


Gathers the common code related to the drawing of rectangle arrays using int
coordinates.
More...
#include <AbstractRectangleArray.hpp>
Gathers the common code related to the drawing of rectangle arrays using int
coordinates.
This is the recommended approach when drawing several rectangles. It is faster than drawing all the rectangles individually, since only one single call is made to draw all the rectangles.
- Warning
- All the rectangles in the array are drawn with the same color
◆ AbstractRectangleArray() [1/2]
| IKSDL_EXPORT iksdl::AbstractRectangleArray::AbstractRectangleArray |
( |
Color |
color | ) |
|
|
explicit |
Constructor to define an empty array.
- Parameters
-
| color | Drawing color for all the rectangles |
◆ AbstractRectangleArray() [2/2]
| IKSDL_EXPORT iksdl::AbstractRectangleArray::AbstractRectangleArray |
( |
const std::vector< Recti > & |
rects, |
|
|
Color |
color |
|
) |
| |
Constructor to define a populated array.
- Parameters
-
| rects | Rectangles to draw |
| color | Drawing color for all the rectangles |
◆ getColor()
| IKSDL_EXPORT const Color& iksdl::AbstractRectangleArray::getColor |
( |
| ) |
const |
|
inline |
Get the current drawing color.
- Returns
- The current color used to draw all the rectangles
◆ move()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::move |
( |
size_t |
index, |
|
|
const Positioni & |
delta |
|
) |
| |
|
inline |
Move a rectangle to another position.
The movement is relative to the current position.
- Parameters
-
| index | Array index of the rectangle to move |
| delta | Movement to apply |
- See also
- setPosition
◆ operator[]()
| IKSDL_EXPORT Recti iksdl::AbstractRectangleArray::operator[] |
( |
size_t |
index | ) |
const |
|
inline |
Get the rectangle at the given array index.
- Parameters
-
| index | Array index of the rectangle to get |
- Returns
- Position and size of the rectangle at the given array index
◆ popBack()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::popBack |
( |
| ) |
|
|
inline |
Remove the last rectangle from the array.
◆ pushBack()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::pushBack |
( |
const Recti & |
rect | ) |
|
|
inline |
Add a new rectangle at the end of the array.
- Parameters
-
| rect | New rectangle to draw |
◆ remove()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::remove |
( |
size_t |
index | ) |
|
|
inline |
Remove rectangle at the given position.
- Parameters
-
| index | Array index of the rectangle to remove |
◆ scale()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::scale |
( |
size_t |
index, |
|
|
int |
factor |
|
) |
| |
|
inline |
Change the size of a rectangle by using a scale factor.
The scaling is relative to the current size.
- Parameters
-
| index | Array index of the rectangle to scale |
| factor | Scaling factor to apply |
- See also
- setSize
◆ setColor()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::setColor |
( |
Color |
color | ) |
|
|
inline |
Change the drawing color.
- Parameters
-
◆ setPosition()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::setPosition |
( |
size_t |
index, |
|
|
const Positioni & |
position |
|
) |
| |
|
inline |
Change the position of a rectangle.
- Parameters
-
| index | Array index of the rectangle |
| position | New position |
- See also
- move
◆ setSize()
| IKSDL_EXPORT void iksdl::AbstractRectangleArray::setSize |
( |
size_t |
index, |
|
|
const Sizei & |
size |
|
) |
| |
|
inline |
Change the size of a rectangle.
- Parameters
-
| index | Array index of the rectangle |
| size | New size |
- See also
- scale
◆ m_color
| Color iksdl::AbstractRectangleArray::m_color |
|
protected |
◆ m_rects
| std::vector<SDL_Rect> iksdl::AbstractRectangleArray::m_rects |
|
protected |
The documentation for this class was generated from the following file:


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- * My name is Anas I’m 23 years old
- * graduated from TTU with civil engineering degree
- *I worked one year as Team leader for Action Against Hunger (AAH)
- * hen I was kid I used to spend much time on computer
- * loved it I was thought to continuing my education in software programing
- * I’m really glade to be here
- * my computer operator system version is : Version 20H2 (OS Build 19042.870)
Discover More . .
Top PC Games I'v played
- 1- GTA V
- 2- skyrim
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- 5- Call Of Duty V
- 6- Call of Duty: Modern Warfare Remastered
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- 8- The Witcher 3 Wild Hunt
- 9- Ryse - Son of Rome
- 10- Mafia - Definitive Edition


Test for selecting options from a Selection.
First Option
Second Option
Third Option
Fourth Option
Fifth Option
Sixth Option
Empty Value Option
First Option
Second Option
First
Second


Walgreens Exclusive X-Men Stepford Cuckoos Figure Coming in Spring
by Luke Y. ThompsonMay the collecting gods bless Walgreens. Ever since the drugstore chain became run by a toy collector, they’ve become a new destination for some of the best figures out there. And even though the guy who started it moved on, the company still looks committed to carrying toys. Not only that, but they’re taking on exclusive figures that might lack the mass name-recognition a bigger retailer would demand. Hasbro just revealed the next Marvel Legends exclusive to be found betwixt the medicine aisles, and it’s a three-in-one: the Stepford Cuckoos.
RELATED: Hasbro Marvel Legends Stan Lee Figure Salutes the Man
Phoebe, Mindee, and Celeste heads come with one single body, alternate hands, power effects, and a Cerebro helmet. Completists will want to buy three, or maybe even five to add dead siblings Sophie and Esme into the mix. Quentin Tarantino fans might appreciate how close this gets them to a Go-Go Yubari Kill Bill custom. And aficionados of schoolgirl outfits, generally, can switch out the head of anyone they like. Want Wolverine in a miniskirt? Done.
Hasbro also announced a repainted retro Storm figure for sale on Hasbro Pulse starting this week. Like the original Toy Biz figure from the ’90s, this one is painted black.
Take a look at all the official images of Storm and the Stepford Cuckoos in the gallery below. How many Cuckoos will make it to your collection?  Let us know your thoughts in comments below.


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Guidance
A guide on the support system for children and young people with special educational needs and disability (SEND).
This guide explains how the system that supports children and young people with special educational needs and disability ( SEND ) works.
It covers:
It may also be useful for staff dealing with the parents and carers of children and young people with SEND in:
The guide should be used alongside the ‘Special education needs and disability code of practice: 0 to 25’ .
You may also find the easy-read version of this guide for parents and carers and for children and young people useful.


!DOCTYPE html>
Portfolio | Lauren Santosuosso
Lauren Santosuosso
About
Portfolio
Contact
Portfolio
Word Guess
RPG Game
Trivia Game
Rutgers Info Widget
Rock Paper Scissors


GUI.SetBackgroundColor
Syntax
GUI.SetBackgroundColor (Color : int)
Description
Changes the background colour of the currently-selected window to the color specified by Color. This does not change the value of color 0 in the window. Instead it fills the entire window with the new background color and then redraws all the widgets.
For indented and extended items, the background color is assumed to be set to gray.
The alternate spelling is GUI.SetBackgroundColour
Example
See GUI.CreateFrame for an example of GUI.SetBackgroundColour.
Status
Exported qualified.
This means that you can only call the procedures by calling GUI.SetBackgroundColor, not by calling SetBackgroundColor.


Model:
Reg-No.:
Boot Type:
Faults:
Calculate Bill, Search by Reg No.
Check Out Car by Reg No.
Command Line


| December 24, 2019 |
Fastcompany |
One of the best interactive design of the year
|
| November 23, 2019 |
KIRO 7 |
UW developing robotic arm that can feed the disabled
|
| October 3, 2019 |
King 5 |
Seattle's Taskar Center is innovating tech to improve the lives of people with disabilities
|
| July 5, 2019 |
TECTALES |
ADA: Assistive robot learns to feed
|
| June 28, 2019 |
Tech Xplore |
A bite acquisition framework for robot-assisted feeding systems
|
| May 3, 2019 |
Puget Sound Business Journal |
UW team develops AI-powered robotic arm to help people eat
|
| April 29, 2019 |
Roya News |
US experts develop robot automatically feeds people
|
| April 25, 2019 |
Phys.org |
Assistive robot learns to feed
|
| April 15, 2019 |
Reuters |
The robot being trained to feed humans
|
| April 10, 2019 |
NIH Newsroom |
Assistive robot learns to feed
|
| April 4, 2019 |
BBC News |
Robot arm can feed people with mobility issues
|
| April 3, 2019 |
BBC World News |
Robot can feed people with disabilities
|
| March 27, 2019 |
BYUradio |
ADA: The Robot that Can Help Feed the Disabled
|
| March 14, 2019 |
Futurism |
This Autonomous Robot Arm Feeds People Who Can’t Feed Themselves
|
| Match 13, 2019 |
ATtoday |
Intelligent robotic device helps feed people who would otherwise need assistance
|
| March 13, 2019 |
Digital Trends |
Eat up! This robot is built to feed dinner to people who can’t feed themselves
|
| March 13, 2019 |
Futurity |
Robot Learns to Feed Folks Dinner
|
| March 2019 |
Wonderful Engineering |
Say Hello To This Robot That Can Feed You Dinner
|
| March 13, 2019 |
Fastcompany |
Robots that feed people who can’t feed themselves are here
|
| March 13, 2019 |
New Atlas |
Food-focused autonomous robot arm knows how to use the forks
|
| March 11, 2019 |
Science Daily |
How to train your robot (to feed you dinner)
|
| March 11, 2019 |
Interesting Engineering |
This New Robot Can Feed You Your Dinner
|
| March 11, 2019 |
UW News |
How to train your robot (to feed you dinner)
|
| March 11, 2019 |
Lab Roots |
Autonomous Feeding System
|
| March 9, 2019 |
GeekWire |
‘Feed me, Alexa.’ University of Washington team creates voice-controlled robot to help people eat
|


by Tester
Posted on January 3, 2012 at 05:00 PM
The Pacific viperfish has jagged, needlelike teeth so outsized it can't close its mouth. These deep-sea demons reach only about 8 inches (25 centimeters) long. They troll the depths up to 13,000 feet (4,400 meters) below, luring prey with bioluminescent photophores on their bellies.
The pacific viperfish is classified as one of the most ferocious deep seas fish for its size. They are iridescent dark silver-blue color in life with pale fins. They can also be a light black color with blue fins. The coloration of the Pacific Viperfish has what is known as ultra-black skin to reduce the reflection of other bioluminescence surrounding them to better camouflage in the deep sea. This ultra black skin reduces the amount of light reflected from the body of the Viperfish which scatters the light using the melanosomes in its skin that are optimized for reduced reflectance. Looking at the mouth and curvature of teeth one can easily recognize the pacific viperfish. The fangs of the pacific viper are abnormally long that its jaw is extended out, so its teeth can fit outside of its mouth. The fangs rest near the viper’s eyes.
The fangs of the pacific viper are abnormally long that its jaw is extended out, so its teeth can fit outside of its mouth. The fangs rest near the viper’s eyes. These fangs are the viper’s way of killing fish, the viper will swim at high speeds at its prey and impale them in the process. The jaw of the Pacific Viperfish is also hinged in order to fit large sized prey for its size. It also has a loosejaw that improves the closing of the jaw by facilitating faster closing to better capture prey that may be harder to catch. High speed collisions and force in bites have cause the viperfish to adapt to high impact. The vertebrae that is located right behind its head is used a shock absorber, very similar to an air bag. They are excellent maneuvers in areas that receive significantly less sunlight than uppermost regions. This is accredited to a protein in the rods known as Rhodopsins, composed of the transmembrane protein opsin, and a chromophore


--- layout: default heading: Artificial Chemistries and Self-Assembling subheading: Introduction to Artificial Chemistries and Understanding 2017 --- {% include header.html %}


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Pacline Corporation
Legal Name:
Pacline Corporation
Operating Name:
Pacline Overhead Conveyors
Mailing Address:
5890 Shawson Dr.MISSISSAUGA, Ontario
L4W 3W5
Location Address:
5890 Shawson Dr.MISSISSAUGA, Ontario
L4W 3W5
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
For over 30 years, PACLINE CONVEYORS has been dedicated to engineering, manufacturing, installation and servicing the best conveyor systems available on the market today.
PACLINE's first overhead conveyor - The PAC-LINE™ - was first installed in in 1979. The PAC-LINE™ is still one of the most versatile and cost effective overhead conveyors on the market. With over 2 million feet of of conveyor track installed in over 30 countries worldwide, the PAC-LINE™ has become a standard against which similar systems are compared.
Continuing product development ensures that PACLINE offers the most advanced designs in conveyor systems. Today PACLINE carries a number of overhead conveyor systems to suit wide range of manufacturing, warehouse and garment applications.
PACLINE has recently expanded its conveyor product line to include a TOWLINE floor conveyor and GARMENT conveyor.
PACLINE maintains a large inventory - systems are assembled and
shipped directly from stock, from offices and warehousing in
Mississauga, Ontario and Buffalo, New York.
PACLINE engineers support our equipment, with full technical
service, before, during and after the installation of our
equipment. Our goal is to consistently provide our customers
with increased plant production and efficiency.
PACLINE is recognized around the world for competitiveness, in
quality, price and design. Our equipment is installed in over
thirty countries around the globe.
As part of PACLINE's continual support and expansion of
international markets, regular trips are carried out to South
America, ASEAN, Europe, as well as throughout North America, in
support of existing distributors and cultivating new
relationships.
PACLINE track and chain conveying system consists of a universal
link conveyor chain inside a round conveyor track. Flexibility
enables conveying through tight radius curves on both the
horizontal and vertical plane. Loads can be transported handing
or can be inverted to convey load-carrying trays.
The PAC-LINE™ series chain is designed for loads to 50 lbs. per pendant
which are standard on 6 inch centers. Coupling two pendants
with a load bar allows 100 lb loads. Distributed loads to 30,000 lb.
can be conveyed on a 600 ft. system with only one drive. Adding
additional drives proportionally increases conveyor length.
Track sections are prefabricated with a joining flange at each
end, simplifying installation. On site welding is unnecessary
and easy rerouting changes can be made.
For more information visit PACLINE at: http://www.pacline.com
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
3920-Materials Handling Equipment, Nonself- Propelled
3990-Materials Handling Equipment, Miscellaneous
Market profile
Industry sector market interests:
- Medical/Biotechnology/Chemical
- Plastics and Rubber Products
- Textile and Clothing
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Brazil
- Chile
- Colombia
- Cuba
- Denmark
- Fiji
- Finland
- Iceland
- Japan
- Mexico
- New Zealand
- Norway
- Puerto Rico
- Russian Federation
- Singapore
- Sweden
- United Kingdom
- United States
Actively pursuing:
- Albania
- American Samoa
- Austria
- Belgium
- Bolivia, Plurinational State of
- Bulgaria
- Cambodia
- Cook Islands
- Costa Rica
- Czech Republic
- Dominican Republic
- Ecuador
- El Salvador
- France
- French Polynesia
- Germany
- Gibraltar
- Greece
- Guam
- Guatemala
- Guinea
- Haiti
- Honduras
- Hungary
- Indonesia
- Ireland
- Italy
- Korea, Democratic People's Republic of
- Korea, Republic of
- Lao People's Democratic Republic
- Luxembourg
- Macao
- Malaysia
- Malta
- Mauritania
- Montenegro
- Netherlands
- New Caledonia
- Nicaragua
- Panama
- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Poland
- Portugal
- Romania
- Samoa
- Serbia
- Solomon Islands
- Spain
- Switzerland
- Taiwan
- Thailand
- Tonga
- Uruguay
- Vanuatu
- Venezuela, Bolivarian Republic of
- Viet Nam
Sector information
Success stories:
Paint Finishing ApplicationPacline has successfully designed and installed
numerous systems for paint finishing
applications. Our tubular, enclosed track design
lends itself well to the reduction of paint
contamination. To help maximize on oven
efficiency, Pacline offers 9ö radius horizontal
curves, the smallest track curve in the industry.
Pacline's short radius curve allows for closer
track centers, reducing oven size requirements.
In powder coating applications, Pacline's
conveyor track and chain has been found to be a
good conductor, thereby, allowing for a better
adherence of both Powder and Wet Spray
electrostatic paint. Allow Pacline's engineering
department to assist your organization in
developing a system layout, using Pacline's
Enclosed Track Conveyor, for your upcoming
project.
Paint Finishing Application Client List
Hayworth Office Furniture
Century Manufacturing
Steelcase Office Furniture
General Electric
Huffy Bicycle
Murray Ohio
TEXTRON Automotive
Smith and Wesson
Material Handling Application
Pacline has long been a leader in light to medium
weight overhead material handling applications.
Some of the applications in which Pacline's
Enclosed Track Overhead Conveyor has been
utilized are as follows: general parts handling,
wave solder, tote and empty carton handling, wood
working, ceramic industry, dip line applications,
die casting, instrument assembly, plastic parts
handling, metal stamping, automatic pick-up and
drop-off. We also offer a range of specialty
material handling systems, including inverted
tray conveyors and Over/Under conveyors.
For ease in system installation and future
modifications, Pacline has incorporated a bolted
track flange design. Pacline offers many standard
curve radii to allow for most application
designs. If by chance our standard curves do not
meet your need, Pacline is ready to supply
specially fabricated curves.
Steven Speilberg's Dive Restaurant
Opened in June 1995, the unique submarine shaped
restaurant is one of a kind.
A 330 foot Pacline Overhead Conveyor System was
fabricated to fit into the confines of the
restaurant.
Special radius curves as large as 95 feet are
installed at ceiling level. An electric rail is
attached to the Pacline System in order to power
the electronic ships and fish which travel above
the restaurant floor.
Automotive Application
Pacline has serviced the automotive industry for
over two decades. Within this time frame, Pacline
has been called on to design systems to convey a
great variety of automotive parts (i.e., cast
aluminum parts, axles, rads, doors, steering
wheels, bumpers, trim components, windows, and
instrument panels). With the growing use of
lighter parts, within the industry, there is a
trend to design lighter capacity conveyor systems
to transport these items. Pacline's Enclosed
Track Conveyor System will be your answer.
Automotive Client List
Chrysler Automotive
Ford Motor Company
Cami Automotive
Toyota
General Motors
Nissan
Rolls Royce
Mackie Automotive
TEXTRON Automotive
Woodbridge Foam
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
3920-Materials Handling Equipment, Nonself- Propelled
3990-Materials Handling Equipment, Miscellaneous
Market
Market profile
Industry sector market interests:
- Medical/Biotechnology/Chemical
- Plastics and Rubber Products
- Textile and Clothing
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Brazil
- Chile
- Colombia
- Cuba
- Denmark
- Fiji
- Finland
- Iceland
- Japan
- Mexico
- New Zealand
- Norway
- Puerto Rico
- Russian Federation
- Singapore
- Sweden
- United Kingdom
- United States
Actively pursuing:
- Albania
- American Samoa
- Austria
- Belgium
- Bolivia, Plurinational State of
- Bulgaria
- Cambodia
- Cook Islands
- Costa Rica
- Czech Republic
- Dominican Republic
- Ecuador
- El Salvador
- France
- French Polynesia
- Germany
- Gibraltar
- Greece
- Guam
- Guatemala
- Guinea
- Haiti
- Honduras
- Hungary
- Indonesia
- Ireland
- Italy
- Korea, Democratic People's Republic of
- Korea, Republic of
- Lao People's Democratic Republic
- Luxembourg
- Macao
- Malaysia
- Malta
- Mauritania
- Montenegro
- Netherlands
- New Caledonia
- Nicaragua
- Panama
- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Poland
- Portugal
- Romania
- Samoa
- Serbia
- Solomon Islands
- Spain
- Switzerland
- Taiwan
- Thailand
- Tonga
- Uruguay
- Vanuatu
- Venezuela, Bolivarian Republic of
- Viet Nam
Sector
Sector information
Success stories:
Paint Finishing ApplicationPacline has successfully designed and installed
numerous systems for paint finishing
applications. Our tubular, enclosed track design
lends itself well to the reduction of paint
contamination. To help maximize on oven
efficiency, Pacline offers 9ö radius horizontal
curves, the smallest track curve in the industry.
Pacline's short radius curve allows for closer
track centers, reducing oven size requirements.
In powder coating applications, Pacline's
conveyor track and chain has been found to be a
good conductor, thereby, allowing for a better
adherence of both Powder and Wet Spray
electrostatic paint. Allow Pacline's engineering
department to assist your organization in
developing a system layout, using Pacline's
Enclosed Track Conveyor, for your upcoming
project.
Paint Finishing Application Client List
Hayworth Office Furniture
Century Manufacturing
Steelcase Office Furniture
General Electric
Huffy Bicycle
Murray Ohio
TEXTRON Automotive
Smith and Wesson
Material Handling Application
Pacline has long been a leader in light to medium
weight overhead material handling applications.
Some of the applications in which Pacline's
Enclosed Track Overhead Conveyor has been
utilized are as follows: general parts handling,
wave solder, tote and empty carton handling, wood
working, ceramic industry, dip line applications,
die casting, instrument assembly, plastic parts
handling, metal stamping, automatic pick-up and
drop-off. We also offer a range of specialty
material handling systems, including inverted
tray conveyors and Over/Under conveyors.
For ease in system installation and future
modifications, Pacline has incorporated a bolted
track flange design. Pacline offers many standard
curve radii to allow for most application
designs. If by chance our standard curves do not
meet your need, Pacline is ready to supply
specially fabricated curves.
Steven Speilberg's Dive Restaurant
Opened in June 1995, the unique submarine shaped
restaurant is one of a kind.
A 330 foot Pacline Overhead Conveyor System was
fabricated to fit into the confines of the
restaurant.
Special radius curves as large as 95 feet are
installed at ceiling level. An electric rail is
attached to the Pacline System in order to power
the electronic ships and fish which travel above
the restaurant floor.
Automotive Application
Pacline has serviced the automotive industry for
over two decades. Within this time frame, Pacline
has been called on to design systems to convey a
great variety of automotive parts (i.e., cast
aluminum parts, axles, rads, doors, steering
wheels, bumpers, trim components, windows, and
instrument panels). With the growing use of
lighter parts, within the industry, there is a
trend to design lighter capacity conveyor systems
to transport these items. Pacline's Enclosed
Track Conveyor System will be your answer.
Automotive Client List
Chrysler Automotive
Ford Motor Company
Cami Automotive
Toyota
General Motors
Nissan
Rolls Royce
Mackie Automotive
TEXTRON Automotive
Woodbridge Foam


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utterance
is valid according to the handcrafted grammar.
ListView
.
TextToSpeech
instance which will be called when user
clicks on the 'Speak' button
If negative, creates an intent to install a TextToSpeech
engine
RecognitionListener
interface,
thus it implements its methods.
RecognitionListener
interface,
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EuPathDB now offers a direct link from gene ontology (GO) enrichment results to
REVIGO, a tool that provides GO term summarization and visualization.
To access this feature first run a GO term enrichment using the 'Analyze Results' option from any gene search result. Then click on
the 'Start Revigo Analysis' link (
upper right hand side of enrichment results)
to populate the REVIGO submission page with your GO enrichment results from EuPathDB. Follow instructions
on the REVIGO page to complete your analysis.


--- title: Weight constraints type: docs repo: https://github.com/rstudio/keras menu: main: name: Weight constraints - keras parent: keras-reference aliases: - /reference/keras/constraints.html - /keras/reference/constraints.html - /guide/keras/reference/constraints.html - /tools/tools/keras/reference/constraints.html - /installation/keras/reference/constraints.html - /tutorials/keras/reference/constraints.html - /guide/tools/keras/reference/constraints.html - /deploy/keras/reference/constraints.html - /tools/keras/reference/constraints.html - /tutorials/tools/keras/reference/constraints.html ---
Functions that impose constraints on weight values.
constraint_maxnorm(max_value = 2, axis = 0)
constraint_nonneg()
constraint_unitnorm(axis = 0)
constraint_minmaxnorm(min_value = 0, max_value = 1, rate = 1, axis = 0)
| max_value | The maximum norm for the incoming weights. |
| axis | The axis along which to calculate weight norms. For instance, in
a dense layer the weight matrix has shape |
| min_value | The minimum norm for the incoming weights. |
| rate | The rate for enforcing the constraint: weights will be rescaled to yield (1 - rate) * norm + rate * norm.clip(low, high). Effectively, this means that rate=1.0 stands for strict enforcement of the constraint, while rate<1.0 means that weights will be rescaled at each step to slowly move towards a value inside the desired interval. |
constraint_maxnorm()
constrains the weights incident to each
hidden unit to have a norm less than or equal to a desired value.
constraint_nonneg()
constraints the weights to be non-negative
constraint_unitnorm()
constrains the weights incident to each hidden
unit to have unit norm.
constraint_minmaxnorm()
constrains the weights incident to each
hidden unit to have the norm between a lower bound and an upper bound.
You can implement your own constraint functions in R. A custom
constraint is an R function that takes weights (w
) as input
and returns modified weights. Note that keras backend()
tensor
functions (e.g. k_greater_equal()
) should be used in the
implementation of custom constraints. For example:
nonneg_constraint <- function(w) { w * k_cast(k_greater_equal(w, 0), k_floatx()) } layer_dense(units = 32, input_shape = c(784), kernel_constraint = nonneg_constraint)
Note that models which use custom constraints cannot be serialized using
save_model_hdf5()
. Rather, the weights of the model should be saved
and restored using save_model_weights_hdf5()
.


The food is Ending :
When the expiry date of product are
passed,many people think that they
have not to use them.So,they throw
away food simply because it's getting
close to the sell-by date.
Solutions
We try to keep products as per requirement as we can sell
products easily before expired.
Donate food to shelters, food banks and soup kitchens.


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close/1
close/1 – close an open stream
close/2 – close an open stream with options
FORMS
close(Stream_or_Alias)
close(Stream_or_Alias,CloseOptions)
DESCRIPTION
close/1 and close/2 close a stream previously opened with open/3 or open/4. Closing a stream consists of flushing the buffer associated with the stream
and freeing resources associated with maintaining an open stream. If there is
an alias associated with the stream, this alias is disassociated and freed up
for potential use by some other stream. If the stream to be closed is the
current input stream, then the current input stream is set to the stream associated
with the alias user_input. If the stream to be closed is associated with the current output stream,
then the current output stream is set to the stream associated with the alias user_output.
Certain types of streams may have other actions performed. Atom streams
opened for write will have the stream contents unified with the atom A which appeared in the sink specificat
ion in the call to open.
Stream_or_Alias is either a stream descriptor or an alias established via a call to open/3 or open/4.
CloseOptions is a list consisting of options to close/2. The close options are:
force(false) – This is the default. A system error or resource error which occurs while
closing the stream may prevent the stream from being closed.
force(true) – Errors occuring while closing the stream are ignored and resources
associated with the stream are freed anyway.
ERRORS
Stream_or_Alias is a variable
––––> instantiation_error.
Stream_or_Alias is neither a variable nor a stream identifier or alias
––––> domain_error(stream_or_alias,Stream_or_Alias)
CloseOptions is a variable
––––> instantiation_error.
CloseOptions is neither variable nor list
––––> type_error(list,CloseOptions).
CloseOptions is a list which contains a variable element
––––> instantiation_error.
CloseOptions is a list which contains an element E which is neither a variable nor a valid
close option
––––> domain_error(close_option, E).
NOTES
Certain streams which are opened at system startup time can not be closed.
Among these streams are user_input and user_output. Calling close on these aliases will neither throw an error nor really close
the stream.
SEE ALSO
open/4, current_input/1, flush_output/1, User Guide (Prolog I/O).