Pasupathieswarer temple is one of the chief attractions of Karur. Pasupathieswarer temple, which dates back to the time of Cholas, is dedicated to Lord Shiva. This temple is considered among the seven Sivalayams or the Sivasthalams or the holy abodes of Lord Shiva in western Tamil Nadu, the others being Thirunanaa ( Bhavani ) Sangameshwarar temple, Tiruchengode Arthanareeswarar temple, Tirumurugapoondi Tirumuruganathaswamy temple,Tiruppandikodumudi ( Kodumudi ) Kodumudinathar temple, Tiruppukkoliyur ( Avinasi ) Avinasiappar temple and Venjamaakudal Vigirthanatheswarar temple.
The temple is noted for its five feet high Pasupathieswarer Linga which is represented by a group of five sculptures. This linga, situated in the sanctum sanctorum, is also shown as being bathed by the milk oozing from the rudder of a cow. It is 1.3 kilometers from karur.
Visiting Timings:-7am-12pm and 4pm-6pm
Kalyana Venkattaramasami temple is one of the popular destinations at Karur. This temple is situated at Thanthoni, which is about 5 km away from Karur.
Kalyana Venkattaramasami temple is popularly known as Then (south) Tirupathi. This temple situated atop a hillock, is dedicated to Lord Srinivasa (Vishnu), who is worshipped in the sanctum sanctorum along with his consorts Goddesses Sri Devi and Bhoomi Devi.
The most auspicious occasion at Kalyana Venkattaramasami temple is the Deepam festival which is conducted during September – October. Other famous festivals of Kalyana Venkattaramasami temple are the 22 day - long Purattasi festival and the Masi Maha car festival. It is 4.2 kilometers from karur.
Visiting Timings:-6.30 AM to 12.00 PM and 5.00 PM to 7.30 PM
Sri Mariamman temple is one of the most important temples in Karur. This temple, situated towards the center of Karur, is the 2nd largest Amman temple in Tamil Nadu.
The most auspicious occasion at Sri Mariamman temple is the annual festival which is held during the month of May. In this festival, 'Kumbam' is brought out of the Amman temple, is carried to River Arkavathi, accompanied by a huge procession. This Kumbam is then lowered to the river bed with due respect. This festival is celebrated with great pomp and gaiety regardless of religion and caste at Karur. It is 1.3 kilometers from karur.
Visiting Timings:-6am-11am and 4pm-8pm
Pugazhimalai Shree Arupadai Murugan temple is one of the popular pilgrimage destinations located towards the north west of Karur, at Pugalur. Pugazhimalai Shree Arupadai Murugan temple is an ancient temple, situated atop a hillock at Velayuthanpalayam nearby Cauvery, constructed during the time of Cheras. This temple, dedicated to Lord Murugan (Subramanian), is famous for its sculptural excellence
Thaipoosam, celebrated during the first week of February every year, is the most auspicious occasion at this temple when the devotees carry ‘kavady’ to this temple. The deity, placed in the chariot, is also pulled around the temple at night. It is 3.5 kilometers from karur.
Visiting Timings:-6am-11pm and 4pm-8pm


| Project | Number | Date |
|---|---|---|
| cucumber-jvm-example | 1 | 14 dez 2018, 00:04 |
| Steps | Scenarios | Features | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Feature | Passed | Failed | Skipped | Pending | Undefined | Total | Passed | Failed | Total | Duration | Status |
| Amazon Search | 32 | 1 | 0 | 0 | 0 | 33 | 8 | 1 | 9 | 2:6.597 | Failed |
| url |
| http://www.amazon.co.uk |
| username | password | |
| joanasilva |<EMAIL_ADDRESS>| Password!123 |
| result |
| E-mail address already in use |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password123 |
| result |
| Your password is incorrect |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| result |
| Hello, randomtestsandstuff |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search |
| Chasing Excellence |
| author |
| Bergeron |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search |
| Chasing Excellence |
| search |
| Cerith Leighton Watkins |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search |
| Chasing Excellence |
| search |
| 1 star only |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search |
| Chasing Excellence |
| search |
| September 17, 2017 |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search | found |
| avengers | Avengers Assemble |
| description |
| S.H.I.E.L.D |
| url |
| http://www.amazon.co.uk |
| password | |
|<EMAIL_ADDRESS>| Password-12345 |
| search | found |
| avengers | Avengers Assemble |


)
ENVIRONMENTS = {
"gym": GYM_ENVIRONMENTS,
"dm_control": DM_CONTROL_ENVIRONMENTS,
}
ADAPTERS = {
"gym": GymAdapter,
"dm_control": DmControlAdapter,
try:
from .adapters.dm_control_adapter import DmControlAdapter
ADAPTERS["dm_control"] = DmControlAdapter
except ModuleNotFoundError as e:
if "dm_control" not in e.msg:
raise


Loops can execute a block of code a number of times.
Here are two ways to loop in javascript:
var languages = ['HTML', 'CSS', 'JavaScript'];
languages.forEach(function(language) {
alert('I love ' + language + '!');
});
This uses the forEach
method to loop through the elements of an array.
for (var index = 1; index <= 3; index += 1) {
alert(index);
}
This uses for
and a counter to loop.


Highly enthusiastic and self motivated web developer, graduated in Electrical and Electronics Engineering from College of Engineering Roorkee. Born in Rishikesh, Uttarakhand and currently living in Bengaluru, Karnataka. My passion is to design and develop websites. I'm a team player, I like to challenge myself, currently working as a freelancer and also looking for an opportunity to work for an organisation where I can expand and develop my skill set and also to deliver my best to that organisation.
I'm happy to take on any project so just get in touch!
If you have any query or have a project that I can do, feel free to contact me anytime.
<EMAIL_ADDRESS>+91<PHONE_NUMBER>
Connect with me at
Copyright 2017 Paras personal portfolio


Tedious bureaucratic overhead
OpenURL timestamp
OpenURL context format
Context-object timestamp
Context-object encoding
Referent data
Value format (basically genre)
System identifier
Author last name
Author initials
Date
Book title
Publisher
ISBN
Other identifier
Additional administrative data
Requester identifier
Service identifier
(e.g. "contextObject")
Referring entity identifier
Referer identifier


This repository is an Angular skeleton with Gulp as project builder/runner task.
It uses :
Clone the repository and remove the .git folder :
git clone --depth=1 https://github.com/jbouzekri/angular-gulp-skeleton
cd angular-gulp-skeleton
rm -rf .git
Install gulp globally : Official documentation
npm install -g gulp
Install dependencies using npm and bower. The npm install
command will run bower install
too :
npm install
The project uses gulp
to build and bower
for frontend dependencies.
Your app source files will be stored in the src/
folder. When building and serving, all files will be processed and copied to the automatically created dist/
folder.
Some parameters of the gulp script can be configured with the config.json
file.
gulp build [--env=prod]
src/
to dist/
foldergulp serve [--env=prod] [--watch [--no-livereload] [--tdd]]
http://localhost:8888
--watch
moves changed files to dist/
folder and launches live reload (it cannot be used with --env=prod
parameter)--watch --no-livereload
same as the before but without live reload--watch --tdd
same as before but lanches test units at each changesgulp test:unit
gulp test:e2e [--env=prod]
Note : Check the value of the seleniumJar in test/protractor.conf.js and verify that the version is the same that was downloaded.
You can use npm run-script protactor-webdriver
to download the selenium server jar.
Configuration is located in :
test/karma.conf.js
: test unit configurationŧest/protractor.conf.js
: functional test configurationconfig.json
: task general configurationFor Karma and Protractor, go to their respective documentation.
In config.json
, you can configure :
env
: default environmentuse_sass
: enable the use of sass or cssbases
: base folderspath
: paths with wildcards to find scripts, stylesheets, fonts, images, ...serve
: serve server host and port


24 references to Failed
Microsoft.PowerShell.ConsoleHost (2)
host\msh\Executor.cs (2)
143
|| e.PipelineStateInfo.State == PipelineState.
Failed
250
if (tempPipeline.PipelineStateInfo.State == PipelineState.
Failed
&& tempPipeline.PipelineStateInfo.Reason != null)
System.Management.Automation (22)
engine\hostifaces\Connection.cs (3)
945
case PipelineState.
Failed
:
956
if (((pipelineState == PipelineState.Completed) || (pipelineState == PipelineState.
Failed
) ||
1083
UpdateRunspaceAvailability(PipelineState.
Failed
, raiseEvent, cmdInstanceId);
engine\hostifaces\LocalPipeline.cs (4)
596
SetPipelineState(Runspaces.PipelineState.
Failed
, flowControlException);
611
SetPipelineState(PipelineState.
Failed
, ex);
616
SetPipelineState(PipelineState.
Failed
, ex);
621
SetPipelineState(PipelineState.
Failed
, ex);
engine\hostifaces\pipelinebase.cs (4)
304
case PipelineState.
Failed
:
402
else if (PipelineStateInfo.State == PipelineState.
Failed
&& PipelineStateInfo.Reason != null)
549
SetPipelineState(PipelineState.
Failed
, exception);
758
PipelineState == PipelineState.
Failed
||
engine\hostifaces\PowerShell.cs (2)
5493
new PipelineStateInfo(PipelineState.
Failed
,
5548
new PipelineStateInfo(PipelineState.
Failed
,
engine\remoting\client\Job.cs (3)
3386
else if (pipeline.PipelineStateInfo.State == PipelineState.
Failed
4317
case PipelineState.
Failed
:
4343
case PipelineState.
Failed
:
engine\remoting\client\remotepipeline.cs (3)
605
case PipelineState.
Failed
:
745
case PipelineState.
Failed
:
800
copyStateInfo.State == PipelineState.
Failed
||
engine\remoting\commands\PSRemotingCmdlet.cs (1)
3667
case PipelineState.
Failed
:
engine\remoting\commands\ReceivePSSession.cs (2)
929
args.PipelineStateInfo.State == PipelineState.
Failed
))
1013
if (_remotePipeline.PipelineStateInfo.State == PipelineState.
Failed
)


This vignette explains the different possibilities to create and use a reinforcement learning environment in reinforcelearn
. Section Creation explains how to create an environment and Section Interaction describe how to use the created environment object for interaction.
library(reinforcelearn)
The makeEnvironment
function provides different ways to create an environment. It is called with the class name as a first argument. You can pass arguments of the specific environment class (e.g. the state transition array for an MDP) to the ...
argument.
To create a custom environment you have to set up a step
and reset
function, which define the rewards the agent receives and ultimately the goal of what to learn.
Here is an example setting up a the famous Mountain Car problem.
The task of the reset
function is to initialize the starting state of the environment and usually this function is called when starting a new episode. It returns the state
of the environment. It takes an argument self
, which is the newly created R6 class and can be used e.g. to access the current state of the environment.
reset = function(self) {
position = runif(1, -0.6, -0.4)
velocity = 0
state = matrix(c(position, velocity), ncol = 2)
state
}
The step
function is used for interaction, it controls the transition to the next state and reward given an action. It takes self
and action
as an argument and returns a list with the next state
, reward
and whether an episode is finished (done
).
step = function(self, action) {
position = self$state[1]
velocity = self$state[2]
velocity = (action - 1L) * 0.001 + cos(3 * position) * (-0.0025)
velocity = min(max(velocity, -0.07), 0.07)
position = position + velocity
if (position < -1.2) {
position = -1.2
velocity = 0
}
state = matrix(c(position, velocity), ncol = 2)
reward = -1
if (position >= 0.5) {
done = TRUE
reward = 0
} else {
done = FALSE
}
list(state, reward, done)
}
Then we can create the environment with
env = makeEnvironment(step = step, reset = reset)
OpenAI Gym (Brockman et al. 2016) provides a set of environments, which can be used for benchmarking.
To use a gym environment you have to install
gym
(Python package, installation instructions here: https://github.com/openai/gym#installation)reticulate
(R package)Then you can create a gym environment by passing on the name of the environment.
# Create a gym environment.
env = makeEnvironment("gym", gym.name = "MountainCar-v0")
Have a look at https://gym.openai.com/envs for possible environments.
A Markov Decision Process (MDP) is a stochastic process, which is commonly used for reinforcement learning environments. When the problem can be formulated as a MDP, all you need to pass to makeEnvironment
is the state transition array \(P^a_{ss'}\) and reward matrix \(R_s^a\) of the MDP.
We can create a simple MDP with 2 states and 2 actions with the following code.
# State transition array
P = array(0, c(2, 2, 2))
P[, , 1] = matrix(c(0.5, 0.5, 0, 1), 2, 2, byrow = TRUE)
P[, , 2] = matrix(c(0.1, 0.9, 0, 1), 2, 2, byrow = TRUE)
# Reward matrix
R = matrix(c(5, 10, -1, 2), 2, 2, byrow = TRUE)
env = makeEnvironment("mdp", transitions = P, rewards = R)
A gridworld is a simple MDP navigation task with a discrete state and action space. The agent has to move through a grid from a start state to a goal state. Possible actions are the standard moves (left, right, up, down) or could also include the diagonal moves (leftup, leftdown, rightup, rightdown).
Here is an example of a 4x4 gridworld (Sutton and Barto 2017, Example 4.1) with two terminal states in the lower right and upper left of the grid. Rewards are - 1 for every transition until reaching a terminal state.
The following code creates this gridworld.
# Gridworld Environment (Sutton & Barto (2017) Example 4.1)
env = makeEnvironment("gridworld", shape = c(4, 4), goal.states = c(0, 15))
makeEnvironment
returns an R6 class object which can be used for the interaction between agent and environment.
env = makeEnvironment("gridworld", shape = c(4, 4),
goal.states = 0L, initial.state = 15L)
To take an action you can call the step(action)
method. It is called with an action as an argument and internally computes the following state
, reward
and whether an episode is finished (done
).
 Therefore calling step with the same action twice will most likely return different states and rewards!
Note also that all discrete states and actions are numerated starting with 0 to be consistent with OpenAI Gym!
The environment object often also contains information about the number of states and actions or the bounds in case of a continuous space.
env = makeEnvironment("mountain.car")
env$n.actions
#> [1] 3
env$state.space.bounds
#> [[1]]
#> [1] -1.2 0.5
#>
#> [[2]]
#> [1] -0.07 0.07
It also contains a counter of the number of interactions, i.e. the number of times step
has been called, the number of steps in the current episode, the number of episodes and return in the current episode.
env = makeEnvironment("gridworld", shape = c(4, 4),
goal.states = 0L, initial.state = 15L, discount = 0.99)
env$step("up")
#> $state
#> [1] 11
#>
#> $reward
#> [1] -1
#>
#> $done
#> [1] FALSE
env$n.step
#> [1] 1
env$episode.return
#> [1] -1
env$step("left")
#> $state
#> [1] 10
#>
#> $reward
#> [1] -1
#>
#> $done
#> [1] FALSE
env$n.step
#> [1] 2
env$episode.return
#> [1] -1.99
Here is a full list describing the attributes of the R6
class created by makeEnvironment
.
Attributes:
state
[any]: The current state observation of the environment. Depending on the problem this can be anything, e.g. a scalar integer, a matrix or a list.
reward
[integer(1)]: The current reward of the environment. It is always a scalar numeric value.
done
[logical(1)]: A logical flag specifying whether an episode is finished.
discount
[numeric(1) in [0, 1]]: The discount factor.
n.step
[integer(1)]: Number of steps, i.e. number of times $step()
has been called.
episode.step
[integer(1)]: Number of steps in the current episode. In comparison to n.step
it will be reset to 0 when reset
is called. Each time step
is called it is increased by 1.
episode.return
[numeric(1)]: The return in the current episode. Each time step
is called the discounted reward
is added. Will be reset to 0 when reset
is called.
previous.state
[any]: The previous state of the environment. This is often the state which is updated in a reinforcement learning algorithm.
Methods:
reset()
: Resets the environment, i.e. it sets the state
attribute to a starting state and sets the done
flag to FALSE
. It is usually called at the beginning of an episode.
step(action)
: The interaction function between agent and environment. step
is called with an action as an argument. It then takes the action and internally computes the following state, reward and whether an episode is finished and returns a list with state
, reward
and done
.
visualize()
: Visualize the current state of the environment.
Brockman, Greg, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. “OpenAI Gym.” CoRR abs/1606.01540. http://arxiv.org/abs/1606.01540.
Sutton, Richard S., and Andrew G. Barto. 2017. “Reinforcement Learning : An Introduction.” Cambridge, MA, USA: http://ufal.mff.cuni.cz/~straka/courses/npfl114/2016/sutton-bookdraft2016sep.pdf; MIT Press.


package parsing
- Alphabetic
- Public
- All
Type Members
- case class AnnotationPropertyAnnotationDetails(details: List[OWLAnnotation]) extends AnnotationPropertyDetails with Product with Serializable
- sealed abstract class AnnotationPropertyDetails extends AnyRef
- case class AnnotationPropertyDomainDetails(details: List[(IRI, List[OWLAnnotation])]) extends AnnotationPropertyDetails with Product with Serializable
- case class AnnotationPropertyRangeDetails(details: List[(IRI, List[OWLAnnotation])]) extends AnnotationPropertyDetails with Product with Serializable
- case class AnnotationPropertySubPropertyOfDetails(details: List[(OWLAnnotationProperty, List[OWLAnnotation])]) extends AnnotationPropertyDetails with Product with Serializable
- case class ClassAnnotationDetails(details: List[OWLAnnotation]) extends ClassDetails with Product with Serializable
- sealed abstract class ClassDetails extends AnyRef
- case class ClassDisjointUnionOfDetails(details: (List[OWLAnnotation], List[OWLClassExpression])) extends ClassDetails with Product with Serializable
- case class ClassDisjointWithDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends ClassDetails with Product with Serializable
- case class ClassEquivalentToDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends ClassDetails with Product with Serializable
- case class ClassSubClassOfDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends ClassDetails with Product with Serializable
- case class DataPropertyAnnotationDetails(details: List[OWLAnnotation]) extends DataPropertyDetails with Product with Serializable
- case class DataPropertyCharacteristicsDetails(details: List[OWLAnnotation]) extends DataPropertyDetails with Product with Serializable
- sealed abstract class DataPropertyDetails extends AnyRef
- case class DataPropertyDisjointWithDetails(details: List[(OWLDataPropertyExpression, List[OWLAnnotation])]) extends DataPropertyDetails with Product with Serializable
- case class DataPropertyDomainDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends DataPropertyDetails with Product with Serializable
- case class DataPropertyEquivalentToDetails(details: List[(OWLDataPropertyExpression, List[OWLAnnotation])]) extends DataPropertyDetails with Product with Serializable
- case class DataPropertyRangeDetails(details: List[(OWLDataRange, List[OWLAnnotation])]) extends DataPropertyDetails with Product with Serializable
- case class DataPropertySubPropertyOfDetails(details: List[(OWLDataPropertyExpression, List[OWLAnnotation])]) extends DataPropertyDetails with Product with Serializable
-
class
FakeEntityChecker extends OWLEntityChecker
This class is used to support the parsing of single frames in Manchester OWL syntax.
This class is used to support the parsing of single frames in Manchester OWL syntax. The main purpose is to always return a requested OWL entity without actually checking whether it was defined beforehand. This is required since the Mancherster OWL syntax parser has to deal with single frames without having access to a whole ontology. Another purpose of this entity checker is to expand namespace abbreviations.
-
class
FunctionalSyntaxExpressionBuilder extends Serializable
The main purpose of this class is to provide an object which is initialized with
The main purpose of this class is to provide an object which is initialized with
- all prefix declarations
and, fed with an expression in functional syntax, returns expressions in functional syntax, with
- all prefix URIs being extended - all comments removed - all non-axiom expressions (e.g. Ontology(...), Prefix(...)) removed
'Removed' here means that a null value is returned discarding the input string.
-
trait
FunctionalSyntaxParsing extends AnyRef
Trait to support the parsing of input OWL files in functional syntax.
Trait to support the parsing of input OWL files in functional syntax. This trait mainly defines how to make axioms from input functional syntax expressions.
-
trait
FunctionalSyntaxPrefixParsing extends AnyRef
Trait to support the parsing of prefixes from expressions given in functional syntax.
- case class HasKeyDetails(details: (List[OWLAnnotation], List[OWLPropertyExpression])) extends Product with Serializable
-
trait
IRIParsing extends RegexParsers
Trait for parsing IRIs
- case class IndividualAnnotationDetails(details: List[OWLAnnotation]) extends IndividualDetails with Product with Serializable
- sealed abstract class IndividualDetails extends AnyRef
- case class IndividualDifferentFromDetails(details: List[(OWLIndividual, List[OWLAnnotation])]) extends IndividualDetails with Product with Serializable
- case class IndividualFactsDetails(details: List[((Boolean, OWLProperty, OWLPropertyAssertionObject), List[OWLAnnotation])]) extends IndividualDetails with Product with Serializable
- case class IndividualSameAsDetails(details: List[(OWLIndividual, List[OWLAnnotation])]) extends IndividualDetails with Product with Serializable
- case class IndividualTypesDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends IndividualDetails with Product with Serializable
- class ManchesterParsing extends IRIParsing
-
class
ManchesterSyntaxExpressionBuilder extends Serializable
Class that supports the clean-up of Manchester OWL syntax frames.
Class that supports the clean-up of Manchester OWL syntax frames. An input frame will be
- discarded if it is a prefix declaration, an ontology definition or in case it is empty - replaced by the same frame with all short URIs replaced by full URIs (except short URIs of the default namespace which will be replaced later (mainly due to the difficulty to parse them right here)) - trimmed, i.e. all leading and trailing whitespace will be removed
-
trait
ManchesterSyntaxParsing extends AnyRef
Trait to support the parsing of input files in Manchester OWL syntax.
Trait to support the parsing of input files in Manchester OWL syntax. The main functionality is to create OWL axioms from a single Manchester OWL syntax frame. For now we simply call the OWL API Manchester OWL syntax parser for that. Unfortunately, there are quite a few cases that cannot be handled by the OWL API Manchester OWL syntax parser, now.
-
trait
ManchesterSyntaxPrefixParsing extends AnyRef
Trait to support the parsing of prefix definitions in Manchester OWL syntax
- case class ObjectPropertyAnnotationDetails(details: List[OWLAnnotation]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertyCharacteristicsDetails(details: List[(PropertyCharacteristic.Value, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- sealed abstract class ObjectPropertyDetails extends AnyRef
- case class ObjectPropertyDisjointWithDetails(details: List[(OWLObjectPropertyExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertyDomainDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertyEquivalentToDetails(details: List[(OWLObjectPropertyExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertyInverseOfDetails(details: List[(OWLObjectPropertyExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertyRangeDetails(details: List[(OWLClassExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertySubPropertyChainDetails(details: (List[OWLObjectPropertyExpression], List[OWLAnnotation])) extends ObjectPropertyDetails with Product with Serializable
- case class ObjectPropertySubPropertyOfDetails(details: List[(OWLObjectPropertyExpression, List[OWLAnnotation])]) extends ObjectPropertyDetails with Product with Serializable
- case class ParserException(msg: String = "", cause: Throwable = None.orNull) extends Exception with Product with Serializable
- class RDFXMLSyntaxExpressionBuilder extends Serializable
-
trait
RDFXMLSyntaxParsing extends AnyRef
Trait to support the parsing of input OWL files in RDFXML syntax.
Trait to support the parsing of input OWL files in RDFXML syntax. This trait mainly defines how to make axioms from input RDFXML syntax expressions.
-
trait
RDFXMLSyntaxPrefixParsing extends AnyRef
Trait to support the parsing of prefixes from expressions given in RFD/XML syntax.
Value Members
-
object
FunctionalSyntaxParsing
Object containing several constants used by the FunctionalSyntaxParsing trait and the FunctionalSyntaxExpressionBuilder
- object ManchesterParser extends ManchesterParsing
-
object
ManchesterSyntaxParsing
Object to store any kinds of constants
-
object
OWLXMLSyntaxParsing extends Serializable
Singleton instance of type OWLXMLSyntaxParsing
-
object
PropertyCharacteristic extends Enumeration
Enum to match property characteristics
-
object
RDFXMLSyntaxParsing
Object containing several constants used by the RDFXMLSyntaxParsing trait and the RDFXMLSyntaxExpressionBuilder


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Transparency data
Completed requests for changes (RFCs) to be made to the common basic data set (CBDS) during 2014.
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These files contain information for suppliers developing software and management information systems ( MIS ) for local authorities and schools.
Each file contains an approved RFC to be made to the CBDS and contains details of the change and the reasons for the request.
Published: 7 February 2014
Updated: 7 November 2014
From: Department for Education


This is a demo of using the diamond-square algorithm to generate a random fractal terrain.
You may refer to Paul Martz's great article for a detailed description on how the algorithm works.
The visualization is built with Three.js.


- select destination -
County Index Map
County Street Index
City Street Index
Address Search
Information


This setup is how I like my frontend stack to be setup. It allows for quick iteration and faster development. It includes:
AngularJS is my favorite frontend framework and allows for fast data-driven websites.
CoffeeScript makes writing Javascript faster and feels like Python to me (which I love).
SASS is an awesome CSS preprocessor allowing for better strictured CSS.
Twitter bootstrap allows you to scaffold apps fast using a community standard in development.
Replaces the need for jQuery by building Bootstrap Javascript componnents in AngularJS.
The community darling for routing AngularJS applications.
Gulp is a build tool that allows you to watch for frontend changes and convert the above technologies into web format.
Front-end package management.


In Payment Instruments section you can see details about your Payment Instruments
| 1 | You can select the payment method in the first field. You can find more information about payment methods here. |
|---|---|
| 2 | You can add your custom ID in the "Merchant Payment Instrument Id" field. |
| 3 | Add the credit card information here. |


Schelling's segregation model is perhaps the best-known model
among social scientists, demographers and agent-based modelers. The
model shows that small preferences for one type of neighbor lead to
clusters of people of the same type. It also exemplifies how macro
behavior arises from micro behavior.
Observe (using initial conditions of 50-50) how a 20%
preference (desired of similarity) for both types lead to over 50%
resulting similarity of neighbors (see graph). Using a 30% preference,
similarity jumps to about 75% while 60% leads to almost 100%. Also
notice how clearer the clusters get on the simulation. However, notice
that 80% of preference does not lead to clusters. How would you
explain this outcome?
This model provides an explanation for segregated cities
(how segregated is your city).
Article: How
Segregated is Your City?


{% extends "base.html" %} {% block content %}
Title:
Description:
Priority: Very low Low Normal High Critical
Due to:
{{ form.collaborators.label }}: {{ form.collaborators }} {{ form.collaborators.help_text }}


Version 2.2 (Updated July, 2013) Now supports mm10 Mouse genome.
Idiographica is a web server for you to create your own idiogram.
Please fill the following web form and click on the submit button.
The Idiographica server will send you an email to notify the completion of the idiogram creation task.
You can use the generated idiograms without any restriction or obligation.
Please see sample idiograms.
| Whole shot | Zoom up |
Development of Idiographica server was financially supported by "the Functional RNA Project" funded by New Energy and Industrial Technology Development Organization (NEDO). Idiographica server has been run by RNA Informatics Team, Computational Biology Research Center (CBRC) a division of National Institute of Advanced Industrial Science and Technology (AIST).


{{ detailpaid | json }}
Mark As Favourite
Favourited Already
Like
{{detailasset.likes_count}} likes - {{detailasset.comments_count}} comments
{{item.name}}
Created at {{item.created_at|dateToISO|date :"fullDate"}}
PURCHASED
{{ item.description.substring(0,250)}}
... more


guillermo{at}guerreroibarra{dot}com
Follow me on github: https://github.com/ryanfox1985
Sept 25th, 2016
select * from cars c where c.color like 'red';
explain select * from cars c where c.color like 'red';
"Seq Scan on cars c (cost=0.00..26.38 rows=7 width=32)"
" Filter: (color ~~ 'red'::text)"
CREATE INDEX index_cars_on_color ON cars USING btree
(color COLLATE pg_catalog."default");
explain select * from cars c where c.color like 'red';
"Bitmap Index Scan on index_cars_on_color (cost=0.00..4.21 rows=7 width=0)"
" Index Cond: (color = 'red'::text)"
# app/controllers/cars_controller.rb
def index
@cars = Car.all
end
...
def index
@cars = cars_cached
end
...
def cars_cached
Rails.cache.fetch("all_cars") do
Car.all
end
end
Rails.cache.fetch("all_cars", expires_in: 24.hours) do
Car.all
end
Rails.cache.delete "all_cars"
class StaticThing < ActiveRecord::Base
replicated_model
...
end
Master:
DynamicThing Load (0.2ms) SELECT "dynamic_things".* FROM "dynamic_things"
Follower(s):
[Shard: orange_follower]
StaticThing Load (0.3ms) SELECT "static_things".* FROM "static_things"
[Shard: pink_follower]
StaticThing Load (0.2ms) SELECT "static_things".* FROM "static_things"
# Connect to Red database
...
select * from cars c;
select * from cars c where c.color like 'red';
curl -XPOST "http://localhost:9200/cars/_search" -d'
{
"query": {
"query_string": {
"query": "red",
"fields": ["color"]
}
}
}'


rom960 ROM Image Builder
The rom960 ROM image builder interprets commands either from a configuration
file or from standard input. The invocation command is:
rom960 [ -option
]... [ dfile [ arglist ]...]...
Each option must be preceded by a -
character. (In Windows*, you can also use a /
character.) The options are listed below.
A rommer directive file (dfile) must be given without
its .ld
extension. The configuration file is searched for lines beginning with
#*.
This prefix is stripped, and script arguments (arglist)
are substituted. The first script argument in the invocation is substituted
for each occurrence of $0,
the second for each occurrence of $1,
and so on. After script argument substitution, the invocation command is
interpreted and executed.
If the arglist is omitted, rom960 reads commands from
stdin;
no argument substitution is done.
Options
- h
Displays help information to stdout
and exits.
- V
Displays the version number and copyright date to
standard error and continues.
- v960
Displays the version number and copyright date to
standard error and exits.
rom960 Directives
- checksum image
start-addr end-addr checksum-addr 16 | 32
Computes a 16- or 32-bit crc checksum over the
address range from start-addr
to end-addr (inclusive)
and stores it at the designated checksum address.
- help
Displays help information and exits.
- ihex image
output_intel_hex_file [ mode16 | mode32 ]
Translates a binary ROM image to Intel hex format suitable
for downloading to an intelligent PROM programmer. The optional mode16
argument produces extended segment address records; mode32
(the default) produces extended linear address records.
- map object_file
Produces a listing to stdout
of the sections in the object file in address order with their addresses
and sizes in hexadecimal. It also shows in decimal the size of the image
file that mkimage
would produce from this object file.
- mkfill object_input
image_output fill_character
Translates a COFF executable file into a memory
image containing an image of the program as it would appear when downloaded.
Sections are padded with the fill character specified. No space is allowed
for .bss. The file contains all sections of STYP_TEXT
and STYP_DATA
in order of their starting addresses.
- mkimage object_input
image_output [section]…
Translates an executable file into a memory image containing
an image of the program as it would appear when downloaded. Sections are
padded with zeros. No space is allowed for .bss. By default, the file contains
all sections of STYP_TEXT
and STYP_DATA
in the order of their starting addresses. You can override this by specifying
the section names.
- move object-file
[ mem_sect { phys_address | after section-name
} ]
Changes the physical address of mem_sect
in the object file header to phys_address
so that it can be used for a particular EPROM. If mem_sect
and phys_address
are not present, the .data section will be moved to immediately follow
the .text section. You can also specify the address in the relative phrase
after section-name.
Note: This command alters the contents of the section headers in the object
file. It does not revise references to addresses in the moved section.
- packhex hex_file
Compresses the hex file by repacking the data records;
the hex file will be converted in place.
- patch image pfile
address
Writes the contents of the image file holding
the patch into the image to patch (pfile) at offset address.
- permute-a image_in
order image_out
Scrambles the ROM by specifying a permutation of
the address lines. order
is a series of 32 integers separated by spaces that specifies, for each
address bit from left to right, that bit's new position in the output ROM
image. Thus, a new order of 1 0 2 3 4 5 6 78 9 10 11 12 13 14 15 16 17
18 19 20 21 22 23 24 25 2627 28 29 30 31 reverses the positions of each
odd/even pair of bytes. This command fails if the rom
or split
command does not precede it to describe the ROM space to be filled.
- permute-d image_input
new_order image_output
Permutes the bits in each ROM-width hunk of data
in a ROM image. new_order
is a series of integers separated by spaces that specifies for each data
bit from least to most significant position that bit's new position in
the ROM image. Thus, a new order of 7 6 5 4 3 2 1 0 reverses the order
of the bits in an 8-bit-wide ROM image. The ROM-width used by this command
is the last ROM-width value provided by a rom
or split
command.
- rom length width
[ count ]
Specifies length and width of ROM images for subsequent
permute-a and
permute-d
commands; allows the split
command to issue warnings if its results will not fit the ROM space described.
- sh command
Executes a host system command. Upon completion
of the command, returns control to rom960.
- split image m-length
m-width r-length r-width name
Splits a memory image of one length in bytes and
width in bits into ROM images, possibly of another length in bytes and
width in bits. The r-length
and r-width
information given to this command can also be used in subsequent permute-a
and permute-d
commands. name is used as a root name
for the various images produced. Each output file is of the form name.xy,
where x
and y
specify the position of the ROM in the memory image. Thus, x
indicates the ROM's length-wise position in the image from 0 (lowest part
of address range) to (m-length
/ r-length),
and y
indicates the horizontal position in the image of the ROM, from 0 (first
r-width
bits of memory-width-bits-wide data path) to (m-length
/ r-width).
Return
to the top of this page.
Go
to the ic960 Interface Index.
Go
to the gcc960 Interface Index.


Please, click here in order to login
click here to go directly to the questions.
Remember that you can filter by category and search by words like president.


Ruby Hashes
A Hash is a dictionary-like collection of unique keys and their values. Also called associative arrays, they are similar to Arrays, but where an Array uses integers as its index, a Hash allows you to use any object type.
Hashes enumerate their values in the order that the corresponding keys were inserted.
#each, #each_key, #each_value
We use the #each method to iterate through hashes. #each_pair is actually the same method as #each, just with a different name. There are also other versions to iterate more specifically: #each_key to iterate through keys of the hash, and #each_value to iterate through the values of the hash.
h = { "a" => 100, "b" => 200 } h.each {|key, value| puts "#{key} is #{value}" } h.each_key {|key| puts "{#key}--" } h.each_value {|value| puts "--{#value}" }
This is the output:
#each
a is 100
b is 200
#each_key
a--b--
#each_value
--100-200
#has_key?, #has_value?
There are two methods used to find if keys or values are contained within the has. Both the #has_key? and #has_value? methods return true if the key or value is present the hash, respectively.
h = { "a" => 100, "b" => 200 } h.has_key?("a") #=> true h_has_key?("c") #=> false h.has_value?(200) #=> true h.has_value?(300) #=> false
#select
#select returns a new hash consisting of entries for which the block returns true.
h = { "a" => 100, "b" => 200, "c" => 300 } h.select {|k,v| k > "a"} #=> {"b" => 200, "c" => 300} h.select {|k,v| v < 200} #=> {"a" => 100}
Ruby Arrays
Arrays are ordered, integer-indexed collections of any object.
Array indexing starts at 0, as in C or Java. A negative index is assumed to be relative to the end of the array---that is, an index of -1 indicates the last element of the array, -2 is the next to last element in the array, and so on.
#each
We use the #each method to iterate through hashes.
a = [ "a", "b", "c" ] a.each {|x| print x, " -- " } #=> a -- b -- c --
#include?
Returns true if the argument exists in the array.
a = [ "a", "b", "c" ] a.include?("b") #=> true a.include?("z") #=> false
#delete_if
Deletes every element in the array for which the block evaluates as true. The array is changed instantly every time the block is called, not after the iteration is over.
scores = [ 97, 42, 75 ] scores.delete_if {|score| score < 80 } #=> [97]
Ruby Strings
A String object holds and manipulates an arbitrary sequence of bytes, typically representing characters. String objects may be created using String::new or as literals.
Because of aliasing issues, users of strings should be aware of the methods that modify the contents of a String object. Typically, methods with names ending in “!” modify their receiver, while those without a “!” return a new String. However, there are exceptions, such as String#[]=.
#capitalize
This method will capitalize the first letter of the string and make everything else lowercase.
"hello".capitalize #=> "Hello" "HELLO".capitalize #=> "Hello" "123ABC".capitalize #=> "123abc"
#include?
Returns true if the string contains the given string or character.
"hello".include? "lo" #=> true "hello".include? "ol" #=> false "hello".include? ?h #=> true
#length
Returns the character length of the string as an integer.
"hello".length #=> 5
Ruby Integers
This class is the basis for the two concrete classes that hold whole numbers, Bignum and Fixnum.
#even?, #odd?
Both these methods can be used to find whether the integer is even or odd and returns true or false.
1.even? #=> false 1.odd? #=> true 2.even? #=> true 2.odd? #=> false
#next
Returns the integer equal to integer + 1.
1.next #=> 2 1.next.next #=> 3
#times
Iterates the given block an i amount of times, passing in values from zero to i - 1
5.times do |i| print i + " " end #=> 0 1 2 3 4


alankoval.com/3dgrapher/src/index.html | GitHub link
Koval's 3D Grapher is a voxel-based, implicit surface and volume plotter in 3D targeted at webgl2.
Triangles embedded in 3D are not well suited for representing sets with "dimension" not equal to two. Furthermore, automatic and efficient triangulation is a significant challenge for a 3D plotter, especially in guaranteed-fail conditions like z = sin(1/x). For this version, we render our plot as binary (i.e. on/off) voxels in a 1024 x 1024 x 1024 grid.
The goal is to produce publication-quality renders of surfaces and volumes in the browser. The rendering uses three-bounce ray tracing with standard light sampling and allows for custom (per voxel) color and normal specification.
This python project implements arbitrary arithmetic on random variables numerically. As a short illustrative example, suppose \(x\) and \(y\) are random variables representing the measurement of two tiles on the floor. We sample \(x\) to be 30.1 cm and \(y\) to be 30.3 cm. Say we use a meter stick which gives some error \(\sigma\) to both measurements. We can model \(x\) as a normal distribution with center at 30.1 and standard deviation \(\sigma\) and \(y\) as a similar distribution centered at 30.3. Then the random variable \(x+y\) gives the probability distribution for the actual combined length of the two tiles.
This library allows arithmetic on arbitrary expressions.
alankoval.com/3dgrapher-old/src/index.html | GitHub link
Koval's 3D Grapher is a WebGL accelerated function plotter in 3D. It has a few features:
alankoval.com/pixelphysics | GitHub link
Ever wanted to try out your latest cellular automaton idea but don't want to spend the time coding it?
 Luckly so am I, and today's your lucky day. It's not blazing fast but it's a great tool for prototyping.
For some quick eye-candy, click the options button (the gear) and scroll down to the examples pop-down menu.
https://alankoval.com/brainfuck/index.html | GitHub link
Brainfuck is what we call an esoteric programming language. It is aptly named.
You can get some quick (visible) output with the program -[.-]
.
You can pause and step forward and backward while seeing your spot in the code in real time.


LINE
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Deep Learning Studio
apps
Networks
build
Designer
device_hub
Models
layers
Data Set
graphic_eq
Tasks
settings
Settings
content_paste
Notebook


Introduction: “Tweets of a Native Son”
I started this blog largely because I wanted to start sharing some thoughts and updates about my project “Tweets of a Native Son,” a large-scale computational analysis of tweets that mention “James Baldwin” in relationship to Ferguson and the #BlackLivesMatter movement.
Like many other Americans, I was glued to my Twitter feed in August, 2014 as I watched the protests unfold in Ferguson, MO, just miles away from my home and university in St. Louis. The weeks and months following Michael Brown’s shooting revealed a rapidly developing relationship between social media, especially Twitter, and racial justice, as it provided new platfroms for organization, counternarrative, and conversation. As a literary scholar, I was particularly interested in the ways that people were invoking and quoting literature in their tweets about Ferguson and #BlackLivesMatter, particularly when they were invoking and quoting James Baldwin, which seemed frequently.
"To be black and conscious in America is to be in a constant state of rage." - Baldwin #Ferguson
— deray mckesson (@deray) September 14, 2014
What about Baldwin seems to resonate with our particular historical moment and this particular platform? Which of Baldwin’s texts and which kinds of texts—fiction, non-fiction, interviews, etc.—are being most frequently cited? What might this tell us about how Baldwin’s legacy is being constructed and used by readers? My project seeks to answer these questions and more by conducting a large-scale computational analysis of tweets about Ferguson and the #BlackLivesMatter movement, as well as a careful close reading of individual tweets and narrative patterns.
The project is still very much in-progress, but I’m sharing my findings, thoughts, and continuing questions in this space. If you decide to follow along, I’d really appreciate feedback, so feel free to leave a comment below, email me at<EMAIL_ADDRESS>or tweet me at @mellymeldubs.


Menu is awesome, their foods are not only great but in the right place. Ill highly recommend them :)
We are a little team of 7 members. ut wiwsi enim veniam, quis nos trudexer ci tation uliamcorper suscipit lob ortis nisl ut aliquip ex ea commodo conse quat. Dua


Deploys metadata in source format to an org.
It executes the force:source:deploy command.
In addition to the attributes used by every ant-sfdx task, this task uses the following attributes:
| Attribute | Command line equivalent | Description | Required |
|---|---|---|---|
| checkonly | -c | When set to true, validates the deployed metadata and runs all Apex tests but prevents the deployment from being saved to the org. |
No; defaults to false. |
| ignoreerrors | -o | When set to true, ignores the deploy errors, and continues with the deploy operation. |
No; defaults to false. |
| ignorewarnings | -g | When set to true, the success field in DeployMessage is true even if a warning occurs. When set to falseand a warning occurs success is set to false, and the warning is treated like an error. |
No; defaults to false. |
| manifest | -x | The path for the manifest (package.xml) file that specifies the components to deploy. | No. |
| sourcepath | -p | The path to the local source file (or directory) to deploy. | No |
| targetusername | -u | A username or alias for the target org. | No |
| testlevel | -l | Specifies which tests to run. Acceptable values are:
|
No |
| validateddeployrequestid | -q | Specifies the ID of a package with recently validated components to run a Quick Deploy. | No. |
| wait | -w | The streaming client socket timeout, in minutes. | No; defaults to 33. |
Specifies the name of a metadata component to deploy to the org.
The sourcepath attribute is a path-like structure and can also be set via a nested <sourcepath>
element.
Specifies an Apex test class name to run.
<sfdx:force-source-deploy targetusername="scratchorg" sourcepath="force-app/main/default/objects/Case"> <sourcepath> <pathelement location="force-app/main/default/objects/Contact" /> <dirset dir="force-app/main/default/objects"> <include name="Ac*" /> </dirset> </sourcepath> </sfdx:sfdx:force-source-deploy>
Version: 0.0.0-master


| I l@ve RuBoard |
The three soldiers returning home from war were hungry. When they saw the village ahead their spirits lifted—they were sure the villagers would give them a meal. But when they got there, they found the doors locked and the windows closed. After many years of war, the villagers were short of food, and hoarded what they had.
Undeterred, the soldiers boiled a pot of water and carefully placed three stones into it. The amazed villagers came out to watch.
"This is stone soup," the soldiers explained. "Is that all you put in it?" asked the villagers. "Absolutely—although some say it tastes even better with a few carrots…." A villager ran off, returning in no time with a basket of carrots from his hoard.
A couple of minutes later, the villagers again asked "Is that it?"
"Well," said the soldiers, "a couple of potatoes give it body." Off ran another villager.
Over the next hour, the soldiers listed more ingredients that would enhance the soup: beef, leeks, salt, and herbs. Each time a different villager would run off to raid their personal stores.
Eventually they had produced a large pot of steaming soup. The soldiers removed the stones, and they sat down with the entire village to enjoy the first square meal any of them had eaten in months.
There are a couple of morals in the stone soup story. The villagers are tricked by the soldiers, who use the villagers' curiosity to get food from them. But more importantly, the soldiers act as a catalyst, bringing the village together so they can jointly produce something that they couldn't have done by themselves—a synergistic result. Eventually everyone wins.
Every now and then, you might want to emulate the soldiers.
You may be in a situation where you know exactly what needs doing and how to do it. The entire system just appears before your eyes—you know it's right. But ask permission to tackle the whole thing and you'll be met with delays and blank stares. People will form committees, budgets will need approval, and things will get complicated. Everyone will guard their own resources. Sometimes this is called "start-up fatigue."
It's time to bring out the stones. Work out what you can reasonably ask for. Develop it well. Once you've got it, show people, and let them marvel. Then say "of course, it would be better if we added…." Pretend it's not important. Sit back and wait for them to start asking you to add the functionality you originally wanted. People find it easier to join an ongoing success. Show them a glimpse of the future and you'll get them to rally around.[1]
[1] While doing this, you may be comforted by the line attributed to Rear Admiral Dr. Grace Hopper: "It's easier to ask forgiveness than it is to get permission."
Tip 5
Be a Catalyst for Change
On the other hand, the stone soup story is also about gentle and gradual deception. It's about focusing too tightly. The villagers think about the stones and forget about the rest of the world. We all fall for it, every day. Things just creep up on us.
We've all seen the symptoms. Projects slowly and inexorably get totally out of hand. Most software disasters start out too small to notice, and most project overruns happen a day at a time. Systems drift from their specifications feature by feature, while patch after patch gets added to a piece of code until there's nothing of the original left. It's often the accumulation of small things that breaks morale and teams.
Tip 6
Remember the Big Picture
We've never tried this—honest. But they say that if you take a frog and drop it into boiling water, it will jump straight back out again. However, if you place the frog in a pan of cold water, then gradually heat it, the frog won't notice the slow increase in temperature and will stay put until cooked.
Note that the frog's problem is different from the broken windows issue discussed in Section 2. In the Broken Window Theory, people lose the will to fight entropy because they perceive that no one else cares. The frog just doesn't notice the change.
Don't be like the frog. Keep an eye on the big picture. Constantly review what's happening around you, not just what you personally are doing.
While reviewing a draft of this book, John Lakos raised the following issue: The soldiers progressively deceive the villagers, but the change they catalyze does them all good. However, by progressively deceiving the frog, you're doing it harm. Can you determine whether you're making stone soup or frog soup when you try to catalyze change? Is the decision subjective or objective?
| I l@ve RuBoard |


Rotary Broach Holder
Spring 2017
Finally a way to make square blind holes
To help with making my own fasteners or similar devices, I build a rotary broach holder. This is fairly simple, a houseing with a oilite bushing supporting a spindle, and a thrust roller bearing at the back to take the thrust load on the spindle. The catch is that the spindle is offset from the center and at a 1 degree angle to the housing. The eccentricity is calculated such that the axis of the spindle intersects the axis of the housing (and shank) at a particular point in front of the tool. When a broach is loaded into the spindle, the tip of the broach should be exactly at that point of intersection. This arrangment allows the broach to "wobble" angularly without running out radially. It is this very particular motion that allows the broach to cut bit by bit.
Grinding the broach itself. This test broach was a 3/16" hex.
Boring the spindle bore to size before pressing in the bushing. Note the angle and the offset.
Broaching a 3/16" hex in brass.


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We hope you had a great experience and we hope to see you again soon!
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public class ActorCompositeModel
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
double |
getHeading()
Returns the heading of the last active ActorModel
|
double |
getId()
Returns the ID of the last active turtle
|
boolean |
getPenUp()
Returns if pen is up or down
|
java.awt.geom.Point2D.Double |
getPos()
Returns position of the last active ActorModel
|
boolean |
getVisible()
Returns if the last active actor is visible
|
void |
moveBackward(double distance)
Move all the active actors backward a given distance
|
void |
moveForward(double distance)
Move all the active actors forward a given distance
|
void |
rotate(double distance)
Rotates the heading of all the active actors a given distance
|
void |
set(java.util.Map<java.lang.Integer,ActorModel> actorMap,
java.util.List<java.lang.Integer> activeList)
Set the containing ActorModel Map, and the list of active actors
|
void |
setHeading(java.lang.Double heading)
Set's the heading of all the active actors
|
void |
setPenUp(boolean penUp)
Set all the active actors pen up or down
|
void |
setPos(java.awt.geom.Point2D.Double pos)
Set's the active actors to a given position
|
void |
setTowards(double x,
double y)
Set's the heading of all the active actors toward a point.
|
void |
setVisible(boolean v)
Set's all the active actors visibility
|
public void set(java.util.Map<java.lang.Integer,ActorModel> actorMap, java.util.List<java.lang.Integer> activeList)
actorMap
- with an ID as the key, and an ActorModel as a valactiveList
- List of active actor IDs.public void moveForward(double distance)
distance
- to move forwardpublic void moveBackward(double distance)
distance
- public void setVisible(boolean v)
v,
- where true will make the active actors visiblepublic boolean getPenUp()
public java.awt.geom.Point2D.Double getPos()
public void setPos(java.awt.geom.Point2D.Double pos)
pos
- new position of the active actorpublic double getHeading()
public void setHeading(java.lang.Double heading)
heading
- to set all the active actorspublic void setPenUp(boolean penUp)
penUp
- If true, active ActorModel uppublic boolean getVisible()
public void rotate(double distance)
distance
- to rotatepublic void setTowards(double x, double y)
x
- coordinatey
- coordinatepublic double getId()


This example demonstrates how to disable the default methods of closing the modal:
$("#sticky").modal({
escapeClose: false,
clickClose: false,
showClose: false
});
If you do this, be sure to provide the user with an alternate method of closing the window.


| Project Type | Basic | |||
| Status | Closed | Force Closed | GM_Terminated | Null |
| Percentages | 78/126=61.9% | 23/126=18.25% | 4/126=3.17% | 21/126=16.67% |
| Project Type | Detailed | |||
| Status | Closed | Force Closed | GM_Terminated | Null |
| 0 | 0 | 0 | 0 | 100% |
| Project Name | Project Type | Status | Start Date | End Date | Pelsor Date |
| PFK ELSOR for PFK Cogen Plant Project | basic | Closed | 2009-06-29 | 2009-07-31 | 2009-06-29 |
| Project Type | Occurrence | Percentage |
| Basic | 126 | 90.65 |
| Detailed | 13 | 9.35 |
| Total | 139 | 100 |


--- layout: post title: ! 'Technorati subscription :' ---
In order to increase my blog visibility I have subscribed myself to Technorati. In order to claim this blog I had to create an article with a link to my Technorati Profile .
I am hoping to post to this blog on more regular intervals.
In order to get you started I will provide you a link to some of my articles on codeproject. Enjoy !