The only prerequiste software is a JDK. The client is only compatible with Java 8 and later.
Ensure JAVA_HOME
is set correctly.
There are two approaches to building the client.
For Linux/Unix/MacOS, run
bash ./gradlew build
For Windows, run
gradlew build
This compiles the client into a jar located at ./build/libs/frontend-service-client-0.1-SNAPSHOT.jar
. Note that this jar does not include any dependencies.
It's recommended to publish your client to a repository (Maven or Ivy for example) and have your customers declare a dependency on the project in their build system.
To depend on this project in Gradle (after the package is published to an accessible repository), add the following to your build.gradle file.
dependencies {
compile 'com.amazonaws.blox:frontend-service-client:0.1-SNAPSHOT'
}
To depend on this project in Apache Maven (after the package published to an accessible repository), add the following to your pom.xml file.
<dependencies>
<dependency>
<groupId>com.amazonaws.blox</groupId>
<artifactId>frontend-service-client</artifactId>
<version>0.1-SNAPSHOT</version>
</dependency>
</dependencies>
For more information on managing dependencies via Gradle and publishing artifacts, see:
If your customers aren't using Maven or Gradle and you would prefer to distribute a single JAR with all dependencies you can use the following command to build a fat jar.
For Linux/Unix/MacOS, run
bash ./gradlew shadowJar
For Windows, run
gradlew shadowJar
This will compile the client and package all dependencies into a jar located at ./build/libs/frontend-service-client-0.1-SNAPSHOT-all.jar
.
To create a client, use the client builder. You can obtain an instance of the builder via a static factory method located on the client interface.
BloxClientBuilder builder = Blox.builder();
The builder exposes many fluent configuration methods that can be chained to configure a service client. Here's a simple example that sets a few optional configuration options and then builds the service client.
Blox client = Blox.builder()
.connectionConfiguration(new ConnectionConfiguration()
.maxConnections(100)
.connectionMaxIdleMillis(1000))
.timeoutConfiguration(new TimeoutConfiguration()
.httpRequestTimeout(3000)
.totalExecutionTimeout(10000)
.socketTimeout(2000))
.build();
Note that each client created has its own connection pool. It's recommended to treat the clients as long-lived objects. Clients are immutable and thread safe. Clients clean up their resources when garbage collected but if you want to explicitly shut down the client you can do the following:
Blox client = Blox.builder().build();
client.shutdown();
// Client is now unusable
The service client natively supports AWS_IAM authentication using AWS credentials. To configure the AWS credentials used by the client, use the iamCredentials
fluent setter.
Blox client = Blox.builder()
.iamCredentials(new ProfileCredentialsProvider("personal"))
.build();
The iamCredentials
method takes an instance of AWSCredentialsProvider. There are several implementations of AWSCredentialsProvider available and you can also implement your own.
After a client is configured and created, you can make a request to the service. A method on the client interface (Blox
) is created for all actions (resource + method) in your API.
For each API method, classes are generated that represent the request and response of that API. The request class has setters for any path parameters, query parameters, headers, and payload model that are defined in the API. The response class exposes getters for any modeled headers and for the modeled payload.
Blox client = Blox.builder().build();
DescribeEnvironmentResult result = client.describeEnvironment(new DescribeEnvironmentRequest());
In addition to client-level configuration configured by the builder, each request class exposes configuration methods that are scoped to that request alone. Request level configuration takes precedence over client level configuration.
The request config also allows adding headers and query parameters that aren't modeled by the API.
Blox client = Blox.builder().build();
client.describeEnvironment(new DescribeEnvironmentRequest().sdkRequestConfig(
SdkRequestConfig.builder()
.httpRequestTimeout(1500)
.totalExecutionTimeout(5000)
.customHeader("CustomHeaderName", "foo")
.customQueryParam("CustomQueryParamName", "bar")
.build()
));
In addition to the modeled data present in result objects, the SDK exposes access to additional HTTP metadata. This metadata is useful for debugging issues or accessing unmodeled data from the HTTP response.
DescribeEnvironmentResult result = client.describeEnvironment(new DescribeEnvironmentRequest());
System.out.println(result.sdkResponseMetadata().requestId());
System.out.println(result.sdkResponseMetadata().httpStatusCode());
// Full access to all HTTP headers (including modeled ones)
result.sdkResponseMetadata().header("Content-Length").ifPresent(System.out::println);
Service exceptions and client exceptions can be handled separately. Any exceptions modeled in the API will be a subtype of BloxException.
try {
client.describeEnvironment(...);
} catch(ResourceNotFoundException e) {
// This is a modeled exception defined in the API
} catch(BloxException e) {
// All service exceptions will extend from BloxException.
// Any unknown or unmodeled service exceptions will be represented as a BloxException.
} catch(SdkClientException e) {
// Client exceptions include timeouts, IOExceptions, or any other exceptional situation where a response
// is not received from the service.
}
All exceptions that can be thrown by the SDK are a subtype of SdkBaseException. To handle any exception in the same way, you can directly catch this exception. This covers both client and service exceptions.
try {
client.describeEnvironment(...);
} catch(SdkBaseException e) {
// All exceptions thrown from the client will be a subtype of SdkBaseException.
}
All service exceptions expose metadata about the HTTP response for logging or debugging purposes.
try {
client.describeEnvironment(...);
} catch(BloxException e) {
int statusCode = e.sdkHttpMetadata().httpStatusCode();
String requestId = e.sdkHttpMetadata().requestId();
Optional<String> contentLength = e.sdkHttpMetadata().header("Content-Length");
ByteBuffer responseContent = e.sdkHttpMetadata().responseContent();
}
Some client exceptions thrown are subtypes of SdkClientException. This provides greater granularity to deal with client-side exceptions.
try {
client.describeEnvironment(...);
} catch(ClientExecutionTimeoutException e) {
// Specific client exception thrown when the totalExecutionTimeout is triggered.
} catch(AbortedException e) {
// Thrown when the client thread is interrupted while making a request.
} catch(SdkClientException e) {
// All other exceptions can be handled here.
}
Out of the box, the generated client retries on throttling errors (HTTP status code 429) and connection exceptions. If a different retry policy is desired, a custom one can be set via the client builder.
The easiest way to create a custom retry policy is to use the RetryPolicyBuilder. It provides a declarative API to specify when to retry.
/**
* The policy below will retry if the cause of the failed request matches any of the exceptions
* given OR if the HTTP response from the service has one of the provided status codes.
*/
Blox client = Blox.builder()
.retryPolicy(RetryPolicyBuilder.standard()
.retryOnExceptions(ResourceNotFoundException.class, SocketTimeoutException.class)
.retryOnStatusCodes(429, 500)
.maxNumberOfRetries(10)
.fixedBackoff(100)
.build())
.build();
You can also directly implement the RetryPolicy interface to define your own implementation. RetryPolicyContext contains useful metadata about the state of the failed request that can be used to drive dynamic retry decisions or compute backoff delays.
/**
* Simple implementation of {@link com.amazonaws.retry.v2.RetryPolicy}
*/
public static class CustomRetryPolicy implements RetryPolicy {
@Override
public long computeDelayBeforeNextRetry(RetryPolicyContext context) {
return 100;
}
@Override
public boolean shouldRetry(RetryPolicyContext context) {
return context.retriesAttempted() < 3;
}
}
// Using a custom retry policy via the builder
Blox client = Blox.builder()
.retryPolicy(new CustomRetryPolicy())
.build();
You can implement a RetryCondition and BackoffStrategy separately and combine them into a single policy.
/**
* Retry on 429 status codes. It's important to note that status code may be null if no response was returned from the
* service. See {@link com.amazonaws.retry.v2.RetryCondition}
*/
public static class RetryOnThrottlingCondition implements RetryCondition {
@Override
public boolean shouldRetry(RetryPolicyContext context) {
return context.httpStatusCode() != null && context.httpStatusCode() == 429;
}
}
/**
* Simple implementation of {@link BackoffStrategy} that always backs off 100 milliseconds.
*/
public static class Backoff100MillisecondsStrategy implements BackoffStrategy {
@Override
public long computeDelayBeforeNextRetry(RetryPolicyContext context) {
return 100;
}
}
/**
* Uses {@link com.amazonaws.retry.v2.SimpleRetryPolicy} to combine a separately implemented RetryCondition and BackoffStrategy.
*/
Blox client = Blox.builder()
.retryPolicy(new SimpleRetryPolicy(new RetryOnThrottlingCondition(), new Backoff100MillisecondsStrategy()))
.build();
/**
* The RetryCondition and BackoffStrategy interfaces are functional interfaces so lambda expressions and method
* references may also be used. This is equivalent to the above example.
*/
Blox client = Blox.builder()
.retryPolicy(new SimpleRetryPolicy(c -> c.httpStatusCode() != null && c.httpStatusCode() == 429,
c -> 100))
.build();


Lists and Links
- Create a new folder called "listsandlinks" in your repository folder.
- Inside listsandlinks create a file called "index.html" and a file called "main.css"
- In index.html create an ordered list of step by step instructions to create a new webpage on the production server.
- Also create an unordered list of 5 or more links to websites with useful webdesign related information.
- In the nav section, create an unordered list of links with a link back to your main index page.
- In your main index.html file in public_html, add an unordered list of links to the nav section with a link to "listsandlinks".
- In your old index.html, add an article with a heading and a paragraph description of this assignment. Also add an unordered list that contains this list of requirements.
- Turn in your work.
In Lists and Links assignment, we created another index.html file and main.css file in a new folder called listsandlinks. We created ordered list and unordered list in the index.html file. We also created links to websites and a link to main index.html file.
Tables
- Create a new folder in your repository called "tables"
- In the "tables" folder, create a new file called from your template "index.html"
- Be sure to use thead, tbody, and tfoot elements in your tables.
- Add html code to recreate the webpage below. second table will require the use of the colspan attribute. third table will require the use of the rowspan attribute.
- In your repository index.html file, add an article with a heading, paragraph description and this list of requirements. Also add a link to the tables/index.html file
- Add a link from lists and links to this assignment as well.
- Validate your code.
- Turn it in.
In the Tables assignment, we learned how to make different kinds of tables using rowspan and colspan. We also started used thead, tbody, and tfoot elements in order to make tables with head, body, and foot.


Hokie Coyote Coyote Ugly
By Ross Anthony
A struggling singer-songwriter moving to New York in search of fame finds a cute Aussie boyfriend and a bar to dance on.
Here's a comment from a theatergoer: "It was all right. It had a lot of good-looking people. It could have made it."
Here's a comment from me. "I made it (through, that is)." Admittedly, this was not a film that I eagerly awaited screening. Skinny ladies in tube tops two sizes too tiny spraying an inebriatedly rambunctious bar crowd with various spirits just didn't catch my eye on the trailers (go figure). But if it caught yours, be forewarned these are relatively minor segments of the film (likewise, Tyra Banks' part).
Nor is this a film about four women. Rather, one modest, stage-frightened, but determined girl from Jersey dominates the production. Can she make it on her own in the big bad city? Can she keep her young Mel Gibson? Can she impress her KFC eating father (John Goodman)?
Aside from pretentiously false modesty, Piper Perabo does a smashing job with this near-cardboard character. Adam Garcia also is endearing, with the Coyote Queen, Maria Bello, pulling down her hard, but caring role with both fists. Tyra is fine. (Read in any inflection you prefer).
But the film caricatures the reality of song or beer selling, the father/daughter relationship and even performance, be it music or buttocks. Some of the wet bar dancing is fun (never too sexy), but the film really only captivates when Violet (Perabo) plays her music. Unfortunately, that only happens twice during which the filmmakers insert a time-passes-by sequence over the music that moves the picture along with the kind of beat and heart we've been waiting for. More songs from our leading lady would have prettied up this coyote. A grittier realism would have also elevated the tension level - as is, we never really worry about anyone.
FYI, as explained by the bar owner herself, "Coyote Ugly" is the term one might use for the less than appealing appearance of your one-night-stand laying in bed with you the morning after.
Still, I enjoyed Piper Perabo and would like to see more of her (now, stop, you know what I mean!) in films to come. Additionally, I did pull out my dusty six string and bang around on it a while when I got back from the film ... that's worth more than a "C."
Coyote Ugly. Copyright © 2000. Starring Piper Perabo, Adam Garcia, Maria Bello, John Goodman, Tyra Banks, Melanie Lynskey, Izabella Miko, Bridget Moynahan, Michael Weston, LeAnn Rimes. Directed by David McNally. Written by Gina Wendkos. Produced by Jerry Bruckheimer, Chad Oman at Touchstone (C)2000. Rated PG-13.
Grade..........................B-
Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://www.RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


NodeList Class
Definition
Line
568
of
System.Dom/Node.cm
Member Functions
public
void
InternalAddNode
(
Node
* node)
public
Node
*
Item
(
int
index)
const
public
int
Length
()
const
public
Node
*
operator[]
(
int
index)
const
Member Variables
private
List
<
Node
*>
nodes
Member Function Details
InternalAddNode Member Function
public
void
InternalAddNode(
Node
* node)
Definition
Line
582
of
System.Dom/Node.cm
Item Member Function
public
Node
* Item(
int
index)
Definition
Line
570
of
System.Dom/Node.cm
Length Member Function
public
int
Length()
Definition
Line
578
of
System.Dom/Node.cm
operator[] Member Function
public
Node
* operator[](
int
index)
Definition
Line
574
of
System.Dom/Node.cm


A Clockwork Orange
1971
"A chilling classic, the movie is a scabrous satire about human deviance, brutality, and social conditioning that has remained a visible part of the ongoing public debate about violence and the movies."
Marjorie Baumgarten Austin Chronicle
Find out more


So two of my friends and I were out of weed, and after reading a little bit about catnip online we figured it was worth a try for a little buzz. We went out to the pet store and bought a 14.2g bag of 'Premium Catnip' for $1.50.  I had read that smoking proved to have no effect so tea was the next best thing. I boiled some water, and while we were waiting for the water to heat up I stuck a pinch of the catnip in my lip like tobacco to see if that had any effect.
 After letting the tea steep for a while, the water had turned a dark orange/yellow color and smelled exactly like any other tea. I sipped mine slowly with the catnip flakes still in my lip. After a few sipps I felt a slight lightness in my head, as if you just took a first hit from your pipe. It tasted a little minty, and not bad at all. I got very excited and started to gulp more. Alas, the feeling never intesified. With every gulp I just felt the same feeling again and again and it subsided within a matter of seconds.
Overall I would say that it's not worth my time. It doesn't really taste good enough for me to have it on a regular basis if I'm not getting much of an effect out of it. Although I could see a nice cup of catnip tea going nicely with a joint sometime in the future.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


This is a library for network oriented, coroutine based programming. The interfaces and events/operations aim to mimic some of the regular thread and socket features.
cogen uses the enhanced generators in python 2.5. These generators are bidirectional: they allow to pass values in and out of the generator. The whole framework is based on this.
The generator yields a Operation instance and will receive the result from that yield when the operation is ready.
Example:
@coroutine
def mycoro(bla):
yield <operation>
yield <operation>
Roughly the cogen internals works like this:
+------------------------+
| @coroutine |
| def foo(): |
| ... | op.process(sched, coro)
| +->result = yield op--|----------------+------------+
| | ... | | |
+--|---------------------+ +---------------+ +---------------------+
| | the operation | | the operation can't |
result = op.finalize() | is ready | | complete right now |
| +------|--------+ +----------|----------+
scheduler runs foo | |
| | |
foo gets in the active | |
coroutines queue | |
| | |
+----------------------<----------+ |
| depening on the op
op.run() +---------+
| socket is ready add it in | |
+-------------<------------ ...... the proactor <--+ |
| later |
+------<------------------- ...... add it in some other <-+
some event decides queue for later run
this op is ready
The coroutine decorator wrappes foo in a Coroutine class that does some niceties like exception handling, getting the result from finalize() etc.


Current students
Alumni
- Michael Auli, PhD 2012, University of Edinburgh. Now at Facebook AI Research.
- Iulia Banghea, BSc 2017, University of Edinburgh
- Despoina Christou, MSc 2016, University of Edinburgh
- Evangelia Lypiridi, MSc 2016, University of Edinburgh.
- Katarzyna Pruś, Visiting BSc student, University of Dundee. MPhil student, University of Cambridge (starting Sep 2017).
- Lena Reisinger, MInf 2017, University of Edinburgh.
- Adithya Renduchintala, PhD student, Johns Hopkins University.
- Pijus Simonaitis, Visiting MSc student from École Normale Supérieure de Lyon. Now PhD student at Montpellier Laboratory of Computer Science, Robotics, and Microelectronics.
- Jason R. Smith, former PhD student, Johns Hopkins University. Now at Google.
- Arthur Verkaik, MInf 2017, University of Edinburgh
Collaborators past and present
- Abhishek Arun, Bing.
- Phil Blunsom, Deepmind / University of Oxford.
- Chris Callison-Burch, University of Pennsylvania.
- David Chiang, University of Notre Dame.
- Chris Dyer, Deepmind / Carnegie Mellon University.
- Juri Ganitkevitch, Google.
- Sharon Goldwater, University of Edinburgh.
- Barry Haddow, University of Edinburgh.
- Hua He, University of Maryland.
- Hieu Hoang, Moses Machine Translation CIC
- Rebecca Hwa, University of Pittsburgh.
- Sanjeev Khudanpur, Johns Hopkins University.
- Philipp Koehn, Johns Hopkins University.
- Gaurav Kumar, Johns Hopkins University.
- Mirella Lapata, University of Edinburgh.
- Jimmy Lin, University of Waterloo.
- Sebastian Maneth, University of Bremen.
- Nitin Madnani, Educational Testing Service.
- Christof Monz, University of Amsterdam.
- Matt Post, Johns Hopkins University.
- Philip Resnik, University of Maryland.
- Bonnie Webber, University of Edinburgh.
- Jonathan Weese, Facebook.
I am conservative about who I add to this list.
It includes coauthors and student collaborators.
If your information is out of date, please get in touch.


The University of Nottingham Malaysia Campus,Jalan Broga,43500 Semenyih,Selangor Darul Ehsan,Malaysia
telephone: +6 (03) 8924 8000fax: +6 (03) 8924 8001
Ng Thuan Zhian
Wong Wen Yu
Christopher Glenn
Mohd Amirul Ashraf bin Ahmad
Talha Saleh Khan


References
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Gets the historical data for the specified symbol. The exact number of bars will be returned. The symbol must exist in the Securities collection.
Parameters
PyObject
tickers
The symbols to retrieve historical data for.
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - A python dictionary with pandas DataFrame containing the requested historical data.
Gets the historical data for the specified symbols over the requested span. The symbols must exist in the Securities collection.
Parameters
PyObject
tickers
The symbols to retrieve historical data for.
TimeSpan
span
The span over which to retrieve recent historical data.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - A python dictionary with pandas DataFrame containing the requested historical data.
Gets the historical data for the specified symbols between the specified dates. The symbols must exist in the Securities collection.
Parameters
PyObject
tickers
The symbols to retrieve historical data for.
DateTime
start
The start time in the algorithm's time zone.
DateTime
end
The end time in the algorithm's time zone.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - A python dictionary with a pandas DataFrame containing the requested historical data.
Gets the historical data for the specified symbols between the specified dates. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
PyObject
tickers
The symbols to retrieve historical data for.
DateTime
start
The start time in the algorithm's time zone.
DateTime
end
The end time in the algorithm's time zone.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Gets the historical data for the specified symbols. The exact number of bars will be returned for each symbol. This may result in some data start earlier/later than others due to when various exchanges are open. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
PyObject
tickers
The symbols to retrieve historical data for.
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Gets the historical data for the specified symbols over the requested span. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
PyObject
tickers
The symbols to retrieve historical data for.
TimeSpan
span
The span over which to retrieve recent historical data.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Gets the historical data for the specified symbols between the specified dates. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
Symbol
symbol
The symbol to retrieve historical data for.
DateTime
start
The start time in the algorithm's time zone.
DateTime
end
The end time in the algorithm's time zone.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Gets the historical data for the specified symbols. The exact number of bars will be returned for each symbol. This may result in some data start earlier/later than others due to when various exchanges are open. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
Symbol
symbol
The symbol to retrieve historical data for.
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Gets the historical data for the specified symbols over the requested span. The symbols must exist in the Securities collection.
Parameters
PyObject
type
The data type of the symbols.
Symbol
symbol
The symbol to retrieve historical data for.
TimeSpan
span
The span over which to retrieve recent historical data.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
PyObject - pandas.DataFrame containing the requested historical data.
Get the history for all configured securities over the requested span. This will use the resolution and other subscription settings for each security. The symbols must exist in the Securities collection.
Parameters
TimeSpan
span
The span over which to request data. This is a calendar span, so take into consideration weekends and such.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<Slice> - An enumerable of slice containing data over the most recent span for all configured securities.
Get the history for all configured securities over the requested span. This will use the resolution and other subscription settings for each security. The symbols must exist in the Securities collection.
Parameters
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<Slice> - An enumerable of slice containing data over the most recent span for all configured securities.
Get the history for all configured securities over the requested span. This will use the resolution and other subscription settings for each security. The symbols must exist in the Securities collection.
Parameters
TimeSpan
span
The span over which to request data. This is a calendar span, so take into consideration weekends and such.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<DataDictionary<T>> - An enumerable of slice containing data over the most recent span for all configured securities.
Gets the historical data for the specified symbol over the request span. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
TimeSpan
span
The span over which to retrieve recent historical data.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<T> - An enumerable of slice containing the requested historical data.
Gets the historical data for the specified symbol. The exact number of bars will be returned. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<TradeBar> - An enumerable of slice containing the requested historical data.
Gets the historical data for the specified symbol. The exact number of bars will be returned. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
Int32
periods
The number of bars to request.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<T> - An enumerable of slice containing the requested historical data.
Gets the historical data for the specified symbol over the request span. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
DateTime
start
The start time in the algorithm's time zone.
DateTime
end
The end time in the algorithm's time zone.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<T> - An enumerable of slice containing the requested historical data.
Gets the historical data for the specified symbol over the request span. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
TimeSpan
span
The span over which to retrieve recent historical data.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<TradeBar> - An enumerable of slice containing the requested historical data.
Gets the historical data for the specified symbol over the request span. The symbol must exist in the Securities collection.
Parameters
Symbol
symbol
The symbol to retrieve historical data for.
DateTime
start
The start time in the algorithm's time zone.
DateTime
end
The end time in the algorithm's time zone.
*Nullable<Resolution>
resolution
(Optional) The resolution to request.
*Nullable<Boolean>
fillForward
(Optional) True to fill forward missing data, False otherwise.
*Nullable<Boolean>
extendedMarketHours
(Optional) True to include extended market hours data, False otherwise.
*Nullable<DataMappingMode>
dataMappingMode
(Optional) The contract mapping mode to use for the security history request.
*Nullable<DataNormalizationMode>
dataNormalizationMode
(Optional) The price scaling mode to use for the securities history.
*Nullable<Int32>
contractDepthOffset
(Optional) The continuous contract desired offset from the current front month.
For example, 0 will use the front month, 1 will use the back month contract.
Return
IEnumerable<TradeBar> - An enumerable of slice containing the requested historical data.


HRED (TensorFlow)¶
HRED is a basic model for multiple turn dialog. Here, we implement HRED with attention mechanism. You can refer to the following papers for details:
Serban, I. V., Sordoni, A., Bengio, Y., Courville, A. C., & Pineau, J. (2016, February). Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. In AAAI (Vol. 16, pp. 3776-3784).
Require Packages¶
cotk
TensorFlow == 1.13.1
TensorBoardX >= 1.4
Quick Start¶
Downloading dataset and save it to
./data
. (Dataset will be released soon.)Execute
python run.py
to train the model.The default dataset is
UbuntuCorpus
. You can use--dataset
to specify otherdataloader
class.It don’t use pretrained word vector by default setting. You can use
--wvclass
to specifywordvector
class. For example:--wvclass gloves
If you don’t have GPUs, you can add
--cpu
for switching to CPU, but it may cost very long time.
You can view training process by tensorboard, the log is at
./tensorboard
.For example,
tensorboard --logdir=./tensorboard
. (You have to install tensorboard first.)
After training, execute
python run.py --mode test --restore best
for test.You can use
--restore filename
to specify checkpoints files, which are in./model
.--restore last
means last checkpoint,--restore best
means best checkpoints on dev.
Find results at
./output
.
Arguments¶
usage: run.py [-h] [--name NAME] [--restore RESTORE] [--mode MODE]
[--dataset DATASET] [--datapath DATAPATH] [--epoch EPOCH]
[--wvclass WVCLASS] [--wvpath WVPATH] [--out_dir OUT_DIR]
[--log_dir LOG_DIR] [--model_dir MODEL_DIR]
[--cache_dir CACHE_DIR] [--cpu] [--debug] [--cache]
optional arguments:
-h, --help show this help message and exit
useful arguments:
--name NAME The name of your model, used for variable scope and
tensorboard, etc.
Default: runXXXXXX_XXXXXX (initialized by current time)
--restore RESTORE Checkpoints name to load. "last" for last checkpoints,
"best" for best checkpoints on dev. Attention: "last"
and "best" wiil cause unexpected behaviour when run 2
models in the same dir at the same time. Default: None
(dont load anything)
--mode MODE "train" or "test". Default: train
--dataset DATASET Dataloader class. Default: OpenSubtitles
--datapath DATAPATH Directory for data set. Default: ./data
--epoch EPOCH Epoch for trainning. Default: 100
--wvclass WVCLASS Wordvector class, none for not using pretrained
wordvec. Default: None
--wvpath WVPATH Directory for pretrained wordvector. Default:
./wordvec
advanced arguments:
--out_dir OUT_DIR Output directory for test output. Default: ./output
--log_dir LOG_DIR Log directory for tensorboard. Default: ./tensorboard
--model_dir MODEL_DIR
Checkpoints directory for model. Default: ./model
--cache_dir CACHE_DIR
Checkpoints directory for cache. Default: ./cache
--cpu Use cpu.
--debug Enter debug mode (using ptvsd).
--cache Use cache for speeding up load data and wordvec. (It
may cause problems when you switch dataset.)
TensorBoard Example¶
Execute tensorboard --logdir=./tensorboard
, you will see the plot in tensorboard pages:
Following plot are shown in this model:
train/loss
train/perplexity
dev/loss
dev/perplexity
test/loss
test/perplexity
And text output:
Following text are shown in this model:
args
Case Study of Model Results¶
Execute python run.py --mode test --restore best
The following output will be in ./output/[name]_[dev|test].txt
:
perplexity: 74.407300
bleu: 0.089069
post: anyone knows why my stock oneiric exports env var <unk> I mean what is that used for? I know of $USER but not <unk> . My precise install doesn't export USERNAME <eos>
resp: looks like it used to be exported by <unk> but the line had the comment <unk> <unk> Is this <unk> so I guess it isn't surprising it is gone <eos>
gen: you <eos>
post: looks like it used to be exported by <unk> but the line had the comment <unk> <unk> Is this <unk> so I guess it isn't surprising it is gone <eos>
resp: thanks! How the heck did you figure that out? <eos>
gen: I have no idea what that is <eos>
post: thanks! How the heck did you figure that out? <eos>
resp: <unk> <eos>
gen: I <eos>
post: <unk> <eos>
resp: nice thanks! <eos>
gen: I <eos>
post: i set up my hd such that i have to type a passphrase to access it at boot. how can i remove that <unk> and just boot up normal. i did this at install, it works fine, just tired of having reboots where i need to be at terminal
resp: backup your data, and re-install without encryption "might" be the easiest method <eos>
gen: you can install the ubuntu package <eos>
post: backup your data, and re-install without encryption "might" be the easiest method <eos>
resp: so you dont know, ok, anyone else? <eos> you are like, yah my mouse doesnt work, reinstall your os lolol what a joke <eos>
gen: I have no idea what you mean by the <eos>
Performance¶
Perplexity |
BLEU |
|
|---|---|---|
UbuntuCorpus |
74.20 |
0.112 |


| Name | Access | Date | |
|---|---|---|---|
| Denise Watson | VIP | June 20, 2015 12:16 | |
| + $75,00 | Paypal | June 11, 2015 12:16 | |
| + $34,00 | Paypal | June 2, 2015 12:16 | |
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| Laura Bell | Personal | June 3, 2015 12:16 | |
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| Susan Elliott | VIP | June 15, 2015 12:16 | |
| + $84,00 | Paypal | June 27, 2015 12:16 | |
| + $26,00 | Paypal | June 12, 2015 12:16 | |
| + $80,00 | Paypal | June 11, 2015 12:16 | |
| + $49,00 | Paypal | June 2, 2015 12:16 | |
| Walter Fox | VIP | June 6, 2015 12:16 | |
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| Megan Dean | Business | June 28, 2015 12:16 | |
| + $64,00 | Paypal | June 17, 2015 12:16 | |
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| + $51,00 | Paypal | June 25, 2015 12:16 | |
| Julia Cole | Personal | June 3, 2015 12:16 | |
| + $85,00 | Paypal | June 21, 2015 12:16 | |
| + $62,00 | Paypal | June 22, 2015 12:16 | |
| + $25,00 | Paypal | June 16, 2015 12:16 | |
| + $68,00 | Paypal | June 21, 2015 12:16 |
| Name | Access | Date | |
|---|---|---|---|
|
Julia Cole Customer details and further information |
Personal | June 10, 2015 12:16 | |
|
Craig Stone Customer details and further information |
Business | June 13, 2015 12:16 | |
|
Judy Alvarez Customer details and further information |
Disabled | June 11, 2015 12:16 | |
|
Amanda Powell Customer details and further information |
Personal | June 1, 2015 12:16 | |
|
Rebecca Gray Customer details and further information |
Trial | June 19, 2015 12:16 | |
|
Keith Simpson Customer details and further information |
Disabled | June 5, 2015 12:16 |


Functions for point and interval estimation in error-in-variables models via total least squares or generalized total least squares method. See Golub and Van Loan (1980) <doi:10.1137/0717073>, Gleser (1981) <https://www.jstor.org/stable/2240867>, Ivan Markovsky and Huffel (2007) <doi:10.1016/j.sigpro.2007.04.004> for more information.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.2.3) |
| Imports: | stats, utils |
| Published: | 2018-10-06 |
| Author: | Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut] |
| Maintainer: | Yan Li <yan.4.li at uconn.edu> |
| BugReports: | https://github.com/LiYanStat/tls/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/LiYanStat/tls |
| NeedsCompilation: | no |
| CRAN checks: | tls results |
| Reference manual: | tls.pdf |
| Package source: | tls_0.1.0.tar.gz |
| Windows binaries: | r-devel: tls_0.1.0.zip, r-release: tls_0.1.0.zip, r-oldrel: tls_0.1.0.zip |
| OS X binaries: | r-release: tls_0.1.0.tgz, r-oldrel: tls_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=tls to link to this page.


The total value of an economy's domestic output of goods and services, also known as GDP.
One of the key indicators of economic growth. The other is GNP (gross national product), which is the same as GDP except that it adds what a country earns from overseas investments and subtracts what foreigners earn in a country and send back home. Nominal GDP or GNP is calculated at market prices.


As we connect atoms to build molecules, it’s important to keep some principles in mind.
First, don’t try to do too much at once; keep concepts and design focused. Hick’s Law predicts the time it takes to make a decision increases with the number and complexity of choices available: the more stimuli, the more time it takes to respond to the stimuli. If you’d like to read more, there is plenty of research on the phenomenon of analysis paralysis.
Recommended reading: Laws of UX


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White to play 34
pips White=167 Black=157
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 13/10 13/9 eq: -0.115 48.06% (G:14.55% B:0.68%) 51.94% (G:17.50% B:1.27%) 2. 24/21 13/9 eq: -0.147 (-0.032) 47.47% (G:13.15% B:0.66%) 52.53% (G:18.55% B:0.88%) 3. 24/20 13/10 eq: -0.162 (-0.047) 47.08% (G:12.65% B:0.65%) 52.92% (G:18.20% B:0.90%) 4. 24/21 24/20 eq: -0.188 (-0.073) 46.64% (G:11.28% B:0.61%) 53.36% (G:18.16% B:0.59%) 5. 13/6 eq: -0.188 (-0.073) 45.53% (G:11.85% B:0.51%) 54.47% (G:16.89% B:0.84%)


tensorflow in your browser
Because I work mostly on the backend, my knowledge is limited on the front end. My reaction to terms like Angular, Node.js is typically to nod and hope nobody notices me.
The next few blog posts are some notes on how to make a foray into (maybe) useful app development, on the web and/or the phone, and connecting to some of the newer machine learning tools.
Quick Ramp with N00B Tech Debt
In reality, if you’d like to leverage pre-built technology with little to no customization, throwing something up on the web is quick. The codelabs at Google have pre-canned technology that is copy-paste ready, which enables you to create websites like the following:
The sites use someone else’s neural network, and there isn’t much recourse if you’d like to tailor the app to your needs.


- authors
- Jason Lowe-Power
Creating a simple configuration script
This chapter of the tutorial will walk you through how to set up a
simple simulation script for gem5 and to run gem5 for the first time.
It’s assumed that you’ve completed the first chapter of the tutorial and
have successfully built gem5 with an executable build/X86/gem5.opt
.
Our configuration script is going to model a very simple system. We’ll have just one simple CPU core. This CPU core will be connected to a system-wide memory bus. And we’ll have a single DDR3 memory channel, also connected to the memory bus.
gem5 configuration scripts
The gem5 binary takes, as a parameter, a python script which sets up and executes the simulation. In this script, you create a system to simulate, create all of the components of the system, and specify all of the parameters for the system components. Then, from the script, you can begin the simulation.
This script is completely user-defined. You can choose to use any valid Python code in the configuration scripts. This book provides on example of a style that relies heavily classes and inheritance in Python. As a gem5 user, it’s up to you how simple or complicated to make your configuration scripts.
There are a number of example configuration scripts that ship with gem5
in configs/examples
. Most of these scripts are all-encompassing and
allow users to specify almost all options on the command line. Instead
of starting with these complex script, in this book we are going to
start with the most simple script that can run gem5 and build from
there. Hopefully, by the end of this section you’ll have a good idea of
how simulation scripts work.
An aside on SimObjects
gem5’s modular design is built around the SimObject type. Most of the components in the simulated system are SimObjects: CPUs, caches, memory controllers, buses, etc. gem5 exports all of these objects from their
C++
implementation to python. Thus, from the python configuration script you can create any SimObject, set its parameters, and specify the interactions between SimObjects.See http://www.gem5.org/SimObjects for more information.
Creating a config file
Let’s start by creating a new config file and opening it:
``` {.sourceCode .sh} mkdir configs/tutorial touch configs/tutorial/simple.py
This is just a normal python file that will be executed by the embedded
python in the gem5 executable. Therefore, you can use any features and
libraries available in python.
The first thing we'll do in this file is import the m5 library and all
SimObjects that we've compiled.
``` {.sourceCode .python}
import m5
from m5.objects import *
Next, we’ll create the first SimObject: the system that we are going to
simulate. The System
object will be the parent of all the other
objects in our simulated system. The System
object contains a lot of
functional (not timing-level) information, like the physical memory
ranges, the root clock domain, the root voltage domain, the kernel (in
full-system simulation), etc. To create the system SimObject, we simply
instantiate it like a normal python class:
``` {.sourceCode .python} system = System()
Now that we have a reference to the system we are going to simulate,
let's set the clock on the system. We first have to create a clock
domain. Then we can set the clock frequency on that domain. Setting
parameters on a SimObject is exactly the same as setting members of an
object in python, so we can simply set the clock to 1 GHz, for instance.
Finally, we have to specify a voltage domain for this clock domain.
Since we don't care about system power right now, we'll just use the
default options for the voltage domain.
``` {.sourceCode .python}
system.clk_domain = SrcClockDomain()
system.clk_domain.clock = '1GHz'
system.clk_domain.voltage_domain = VoltageDomain()
Once we have a system, let’s set up how the memory will be simulated. We
are going to use timing mode for the memory simulation. You will
almost always use timing mode for the memory simulation, except in
special cases like fast-forwarding and restoring from a checkpoint. We
will also set up a single memory range of size 512 MB, a very small
system. Note that in the python configuration scripts, whenever a size
is required you can specify that size in common vernacular and units
like '512MB'
. Similarly, with time you can use time units (e.g.,
'5ns'
). These will automatically be converted to a common
representation, respectively.
``` {.sourceCode .python} system.mem_mode = ‘timing’ system.mem_ranges = [AddrRange(‘512MB’)]
Now, we can create a CPU. We'll start with the most simple timing-based
CPU in gem5, *TimingSimpleCPU*. This CPU model executes each instruction
in a single clock cycle to execute, except memory requests, which flow
through the memory system. To create the CPU you can simply just
instantiate the object:
``` {.sourceCode .python}
system.cpu = TimingSimpleCPU()
Next, we’re going to create the system-wide memory bus:
``` {.sourceCode .python} system.membus = SystemXBar()
Now that we have a memory bus, let's connect the cache ports on the CPU
to it. In this case, since the system we want to simulate doesn't have
any caches, we will connect the I-cache and D-cache ports directly to
the membus. In this example system, we have no caches.
``` {.sourceCode .python}
system.cpu.icache_port = system.membus.slave
system.cpu.dcache_port = system.membus.slave
An aside on gem5 ports
To connect memory system components together, gem5 uses a port abstraction. Each memory object can have two kinds of ports, master ports and slave ports.  When connecting ports, you must connect a master port to a slave port.
Connecting ports together is easy to do from the python configuration files. You can simply set the master port
=
to the slave port and they will be connected. For instance:
{.sourceCode .python} memobject1.master = memobject2.slave
The master and slave can be on either side of the
=
and the same connection will be made. After making the connection, the master can send requests to the slave port. There is a lot of magic going on behind the scenes to set up the connection, the details of which are unimportant for most users.We will discuss ports and MemObject in more detail in memoryobject-chapter.
Next, we need to connect up a few other ports to make sure that our system will function correctly. We need to create an I/O controller on the CPU and connect it to the memory bus. Also, we need to connect a special port in the system up to the membus. This port is a functional-only port to allow the system to read and write memory.
Connecting the PIO and interrupt ports to the memory bus is an x86-specific requirement. Other ISAs (e.g., ARM) do not require these 3 extra lines.
``` {.sourceCode .python} system.cpu.createInterruptController() system.cpu.interrupts[0].pio = system.membus.master system.cpu.interrupts[0].int_master = system.membus.slave system.cpu.interrupts[0].int_slave = system.membus.master
system.system_port = system.membus.slave
Next, we need to create a memory controller and connect it to the
membus. For this system, we'll use a simple DDR3 controller and it will
be responsible for the entire memory range of our system.
``` {.sourceCode .python}
system.mem_ctrl = DDR3_1600_8x8()
system.mem_ctrl.range = system.mem_ranges[0]
system.mem_ctrl.port = system.membus.master
After those final connections, we’ve finished instantiating our simulated system! Our system should look like simple-config-fig.
Next, we need to set up the process we want the CPU to execute. Since we are executing in syscall emulation mode (SE mode), we will just point the CPU at the compiled executable. We’ll execute a simple “Hello world” program. There’s already one that is compiled that ships with gem5, so we’ll use that. You can specify any application built for x86 and that’s been statically compiled.
Full system vs syscall emulation
gem5 can run in two different modes called “syscall emulation” and “full system” or SE and FS modes. In full system mode (covered later full-system-part), gem5 emulates the entire hardware system and runs an unmodified kernel. Full system mode is similar to running a virtual machine.
Syscall emulation mode, on the other hand, does not emulate all of the devices in a system and focuses on simulating the CPU and memory system. Syscall emulation is much easier to configure since you are not required to instantiate all of the hardware devices required in a real system. However, syscall emulation only emulates Linux system calls, and thus only models user-mode code.
If you do not need to model the operating system for your research questions, and you want extra performance, you should use SE mode. However, if you need high fidelity modeling of the system, or OS interaction like page table walks are important, then you should use FS mode.
First, we have to create the process (another SimObject). Then we set the processes command to the command we want to run. This is a list similar to argv, with the executable in the first position and the arguments to the executable in the rest of the list. Then we set the CPU to use the process as it’s workload, and finally create the functional execution contexts in the CPU.
``` {.sourceCode .python} process = Process() process.cmd = [‘tests/test-progs/hello/bin/x86/linux/hello’] system.cpu.workload = process system.cpu.createThreads()
The final thing we need to do is instantiate the system and begin
execution. First, we create the `Root` object. Then we instantiate the
simulation. The instantiation process goes through all of the SimObjects
we've created in python and creates the `C++` equivalents.
As a note, you don't have to instantiate the python class then specify
the parameters explicitly as member variables. You can also pass the
parameters as named arguments, like the `Root` object below.
``` {.sourceCode .python}
root = Root(full_system = False, system = system)
m5.instantiate()
Finally, we can kick off the actual simulation! As a side now, gem5 is
now using Python 3-style print
functions, so print
is no longer a
statement and must be called as a function.
``` {.sourceCode .python} print(“Beginning simulation!”) exit_event = m5.simulate()
And once simulation finishes, we can inspect the state of the system.
``` {.sourceCode .python}
print('Exiting @ tick {} because {}'
.format(m5.curTick(), exit_event.getCause()))
Running gem5
Now that we’ve created a simple simulation script (the full version of which can be found at gem5/configs/learning_gem5/part1/simple.py) we’re ready to run gem5. gem5 can take many parameters, but requires just one positional argument, the simulation script. So, we can simply run gem5 from the root gem5 directory as:
{.sourceCode .sh}
build/X86/gem5.opt configs/tutorial/simple.py
The output should be:
gem5 Simulator System. http://gem5.org
gem5 is copyrighted software; use the --copyright option for details.
gem5 compiled Mar 16 2018 10:24:24
gem5 started Mar 16 2018 15:53:27
gem5 executing on amarillo, pid 41697
command line: build/X86/gem5.opt configs/tutorial/simple.py
Global frequency set at<PHONE_NUMBER>000 ticks per second
warn: DRAM device capacity (8192 Mbytes) does not match the address range assigned (512 Mbytes)
0: system.remote_gdb: listening for remote gdb on port 7000
Beginning simulation!
info: Entering event queue @ 0. Starting simulation...
Hello world!
Exiting @ tick 507841000 because exiting with last active thread context
Parameters in the configuration file can be changed and the results should be different. For instance, if you double the system clock, the simulation should finish faster. Or, if you change the DDR controller to DDR4, the performance should be better.
Additionally, you can change the CPU model to MinorCPU
to model an
in-order CPU, or DerivO3CPU
to model an out-of-order CPU. However,
note that DerivO3CPU
currently does not work with simple.py, because
DerivO3CPU
requires a system with separate instruction and data caches
(DerivO3CPU
does work with the configuration in the next section).
Next, we will add caches to our configuration file to model a more complex system.


Lightgrid
<<<<<<>>>>>> origin/gh-pages
A simple, fluidic and responsive 12 column grid system for css.
Download
Lightgrid css weights at only 2kb minified.
Checkout the master github branch.
Lightgrid css will divide your page into 12 columns. You can arrange the divs to take up column space by adding
col-* classes.
One thing: Don't forget to add the .last class in your last div.
Try it now
First, add lightgrid.css in your html file.
Add

 in your file.
Example:

col-5

col-5

col-2 last

Extras
Offsetting
You can also offset a div by any number of columns.
You can do this by adding offset-* in your div class.
Example:

col-4 offset-4

col-2 offset-2

col-4 offset-4
col-2 offset-2 last
Images
Images are responsive and resize according to the parent element's size.
Responsive
At 768px (ipad width), lightgrid will automatically make all divs to 100% width.
Go ahead, resize this window to see it in action.
Trimming
If you are sure you don't need to change the layout of your website, remove the extra classes in lightgrid.css. This will remove the clutter from your css file.
Also, take a look under the hood and delete the sections you don't need in your site. For example, if you are already using a reset or normalize css then remove the first section of
lightgrid.css
Support
Lightgrid is fully supported in Ie7 and above.

This grid system borrows heavily from andy taylor's 1140px grid and bootstrap's fluid grid.


Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data.
| Version: | 0.4.1 |
| Depends: | R (≥ 3.1.2) |
| Imports: | dplyr, ggplot2, purrr, tidyr, tibble, magrittr, stats, visdat, rlang, forcats, viridis, glue, UpSetR |
| Suggests: | knitr, rmarkdown, testthat, rpart, rpart.plot, covr, gridExtra, wakefield, vdiffr, here, simputation, imputeTS, gdtools, Hmisc |
| Published: | 2018-11-20 |
| Author: | Nicholas Tierney [aut, cre], Di Cook [aut], Miles McBain [aut], Colin Fay [aut], Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb] |
| Maintainer: | Nicholas Tierney <nicholas.tierney at gmail.com> |
| BugReports: | https://github.com/njtierney/naniar/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/njtierney/naniar |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | naniar results |
| Reference manual: | naniar.pdf |
| Vignettes: |
Exploring Imputed Values Getting Started with naniar Gallery of Missing Data Visualisations Replacing values with NA Special Missing Values |
| Package source: | naniar_0.4.1.tar.gz |
| Windows binaries: | r-devel: naniar_0.4.1.zip, r-release: naniar_0.4.1.zip, r-oldrel: naniar_0.4.1.zip |
| OS X binaries: | r-release: naniar_0.4.1.tgz, r-oldrel: naniar_0.4.1.tgz |
| Old sources: | naniar archive |
Please use the canonical form https://CRAN.R-project.org/package=naniar to link to this page.


syntax: ok, err = ngx.say(...)
context: rewrite_by_lua*, access_by_lua*, content_by_lua*
Just as ngx.print but also emit a trailing newline.


In this module unit, we are going to discuss how to design the textual syntax of a DSL so that their abstract syntax is automatically represented as an Ecore metamodel and a parser is automatically obtained for the DSL. The advantage of this approach for implementing a parser - actually to generate it automatically - is that DSL programs can be viewed as (domain) models directly, by representing their abstract syntax as models, as discussed in Module Unit 4. This will enable the rapid development of interpreters and of compilers as we will discuss in the next module units. The aim of this module unit is, however, to design and develop the syntactic representation of DSLs using model-driven technology atop the Eclipse Modeling Framework (EMF), introduced in Module Unit 4, by using the Xtext language.
Given that Xtext forms an abstraction layer atop compiler techniques, some basic notions from compiler theory are revised in the slides: parsers, interpreters and compilers, context-free grammars, parse trees and abstract syntax trees, language of a context-free grammar. In the last session the bridge between context-free grammars (grammarware) and metamodels (modelware) using the Xtext approach is discussed. This bridge is also illustrated in a talk by Sven Efftinge, the project lead of the Xtext project at itemis.com, on the development of DSLs using Xtext.
In the problem class, we are going to discuss how to design context-free grammars using EBNF notation and we are going to illustrate the method that Xtext uses to generate metamodels from context-free grammars by example.
In the lab session, Xtext is going to be used to develop the textual concrete syntax of a small DSL by developing a grammar using the Xtext language. The approach to be followed in the worksheet is illustrated in a video tutorial.
An Introductory session to Eclipse's successful language development environment. Xtext let's you build fully featured programming languages as well as simple domain specific languages (DSL). The first half of this session will give an overview of what Xtext can do for you. During the second half we will develop a DSL live and from scratch!
A well designed DSL (domain specific language) can be a huge productivity boost in many scenarios. Being it a special language for describing technical things like services or data structures or something more business oriented such as a DSL for describing complex financial products. But to make development of a custom language worthwile it must be easy to define and maintain such a DSL and of course the users must have assistance through tool support.
Xtext provides a set of APIs and DSLs to develop such DSLs easily. It not only gives you a generated parser but supports the full stack of infrastruture that is needed. This also includes editor support for Eclipse, IntelliJ and Web as well as integration with the common build tools Maven, Gradle, and Ant. Xtext is an Eclipse.org project and as such available as open-source. The framework is actively developed, very mature and widely used in industry and research.
In this session you will first get a brief introduction into the main concepts of Xtext. After that we will build a DSL from scratch.
Sven Efftinge is the project lead of Xtext, a framework for developing programming languages and domain-specific languages. Sven works as development manager for itemis.


|
Fool
(Shakira and Brendan Buckley) |
|
Tell
me lies, slap me on the face, just...


Cost Management and Quantitiy Surveying (QS) are one of Aytac's core services. Our independence from the rest of the supply chain means we provide impartial advice, delivering the right solutions to protect our clients' interest and maximise on their investments. Aytac Consultancy LTD provides cost management and quantity surveying (QS) services on a various construction projects, including buildings, industtrial and general fit-out projects.
Aytac Consultancy LTD provides structural engineering services for small to medium size construction projects. Services include structural calculations and design.


The Gulfo La Spezia provides a wide range of mooring and anchoring options.
If approaching at night, be careful of the many mooring buoys located inside the Gulf of La Spezia embankment.
At the head of the gulf, at Porto La Spezia, visitors berth to the north quay, which is on piles, allowing a continuous swell from the ferries and commercial boats to affect the yachts moored here.
The Porto Turistico Mirabello is the new marina just SW of the quay.
Inside the embankment, Porto Lotti lies on the east bank and marina di Fezzano on the western side.
La Grazie harbour is close to the western pass of the embankment and Muggiano opposite the eastern pass.
Last updated June 2011.


Police arrest suspect following deadly stabbing in Wahiawa
by HNN StaffHONOLULU, Hawaii (HawaiiNewsNow) - Police are investigating a deadly stabbing in Wahiawa on Tuesday night.
According to police records, it happened at 6 p.m. on Ohai Place.
Police identified the suspect as 21-year-old Kai Wylan Sedeno Dela Cruz.
Dela Cruz is accused of stabbing a 45-year-old man and fleeing the scene. Police said the victim was taken to the hospital, where he later died.
The suspect returned to the scene and was arrested. He remained in custody as of Wednesday morning.
The investigation is ongoing.
This story will be updated.
Copyright 2019 Hawaii News Now. All rights reserved.


GIT-UPLOAD-PACK(1) Git Manual GIT-UPLOAD-PACK(1) NAME git-upload-pack - Send objects packed back to git-fetch-pack SYNOPSIS git-upload-pack [--strict] [--timeout=<n>] <directory> DESCRIPTION Invoked by git fetch-pack, learns what objects the other side is missing, and sends them after packing. This command is usually not invoked directly by the end user. The UI for the protocol is on the git fetch-pack side, and the program pair is meant to be used to pull updates from a remote repository. For push operations, see git send-pack. OPTIONS --strict Do not try <directory>/.git/ if <directory> is no git directory. --timeout=<n> Interrupt transfer after <n> seconds of inactivity. <directory> The repository to sync from. SEE ALSO gitnamespaces(7) GIT Part of the git(1) suite Git <IP_ADDRESS> 11/24/2012 GIT-UPLOAD-PACK(1)


|
Figure 1
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Presentation of the Mont-Blanc Massif. ( a) The Mont-Blanc s ... |
|
Figure 2
|
Average frost occurrence (%, see colorbar) for Tn and Tx and ... |
|
Figure 3
|
Spatially-averaged temperature evolutions over the Mont-Blan ... |
|
Figure 4
|
Evolution of frost occurrence (percentage points) for the su ... |
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Figure 5
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Boxplot representation of the evolution of frost occurrence ... |


Add the .owl-carousel-inverted
class to an .owl-carousel
element to invert nav colors.
require(['jquery', 'px-libs/owl.carousel'], function($) {
...
});
To use owl.carousel plugin, you need to include the next scripts:
<script src="path/to/js/libs/owl.carousel.js"></script>
<script src="path/to/js/pixeladmin/directives/angular-owl.carousel.js"></script>
Then inject the plugin into your angular application:
angular.module('yourApp', ['owl.carousel']);
Alternatively, you can include owl.carousel plugin using ocLazyLoad plugin:
$ocLazyLoad.load([
{
name: 'owl.carousel',
files: [
'path/to/js/libs/owl.carousel.js',
'path/to/js/pixeladmin/directives/angular-owl.carousel.js',
],
},
]);
owl-carousel
directive
You can use owl-carousel
directive where you want.
And when the scope is destroyed the directive will be destroyed.
You can define methods
attribute to get a pointer to owl.carousel instance methods
(see the
plugin's documentation):
<owl-carousel methods="ctrl.$carousel">...</owl-carousel>
function SomeController() {
// Pointer
this.$carousel = null;
// ...
// Then, after the initialization, you can call plugin methods:
this.$carousel.prev([300]));
this.$carousel.next([500]));
this.$carousel.to([5, 300]));
});
owl.carousel's options can be specified as attributes (see the plugin's documentation). All options expect an angular expression instead of a literal string.
<owl-carousel items="4"
loop="true"
responsive="{ 480: { items: 2 }, 600: { items: 4 } }"
nav-element="'nav'">...</owl-carousel>
Event handlers can be bound using attributes (see the plugin's documentation):
<owl-carousel on-changed="ctrl.changed"
on-loaded-lazy="ctrl.loadedLazy"
on-play-video="ctrl.playVideo">...</owl-carousel>
function SomeController() {
this.changed = function(e) { ... }
this.loadedLazy = function(e) { ... }
this.playVideo = function(e) { ... }
});


I’ve been meaning to get back into blogging for a while. Blogging seems like the 2006 thing to do, right? Nevertheless, I really enjoy the technologies I get to work with on an almost daily basis - namely iOS, Grails and various mobile frameworks (JQuery Mobile, Backbone.js, underscore.js, etc.), and hopefully I run across a few things that might be of use to some other people. At least I’d like to use this blog to help give an outlet to that illusion. Having a blog also lets me rant about things and have it stored online for an indeterminate amount of time - who doesn’t like having their words haunt them for years on end?
So with all that being said, I’ve had a long list of weak excuses why I hadn’t gotten a blog going, and high on the list was pretty things like
- Need to figure out where to host it
- Need to figure out what software to use
- Need to figure out what styling to use
Well I’ve read enough to determine that Octopress is the developer’s Wordpress (I probably first noted it being used on Matt Gemmell’s blog, and his post his experiences blogging with Octopress). I also determined GitHub is as good of a place as any to host one, for starters at least - and works well with Git-hosted Octopress. Octopress’s default theme (which this blog uses) provides good enough styling for a developer-centric blog in my opinion - for the time being at least.
For now I’m using Mouapp for my Markdown editor - recommended by @zanthrash - while I thought I liked the idea of posting to Octopress from MarsEdit, I actually like the raw markdown editing better and being able to see the markup in the same window, vs. building html formatted posts. Plus it isn’t that hard to create a new post in Mao, save it to my local blog posts folder, and do a rake generate and deploy - and have it pushed to my github pages repo see it live online - immediately. I’m sure this will be a process that will scriptable to make it even easier to do with future posts.
A couple things I did note during the process - which probably are obvious to many but weren’t initially to me
- To ensure that individual blog pages get generated properly you must have the markdown section rake’s new_post command generates at the top of your markdown file
- Strings should be in quotes in your Octopress _config.yml file, or you’ll likely get parse errors
If anyone has tips to make the use of these technologies even better going forward please pass them along.


This default application is used when application field of the current
activity is not set.
It is useful for prototyping a workflow, and playing with it without making
any complex task like python code.
Consider this panel as a simulation for you workflo: the activity is described below,
and a comment can be inserted.
activity: {{ activity.title }}
description:
{{ activity.description }}
Instance history
(The instance history allows to test and debug the workflow)


- Territory - Class in com.riskgame.model
-
This class represents Territory model and property of territory from the map
file.
- Territory() - Constructor for class com.riskgame.model.Territory
-
- territoryList - Static variable in class com.riskgame.service.impl.PlayerHandlerImplTest
-
- testForConvertRiskMapToDtos() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for testForConvertRiskMapToDtos.
- testForgetNeighbourCountriesListByCountryName() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for testForgetNeighbourCountriesListByCountryName.
- testForInvalidateMapFileName() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for invalid map file.
- testForValidateMapFileName() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for valid map file.
- testForValidateMapFileName1() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for valid map file for self made file.
- testGetTerritories() - Method in class com.riskgame.service.impl.PlayerHandlerImplTest
-
This method will Test GetTerritories method of Player Handler, which will
return number of territories from provided map.
- testNotEmptyAvailableMap() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Test for notEmptyAvailableMap.
- testReadMap() - Method in class com.riskgame.service.impl.ConquestMapImplTest
-
This method will test readMap() that game reads the valid conquest map and
returns RiskMap Object true if it returns the same object as expectedRiskMap
- testSaveMapToFile() - Method in class com.riskgame.service.impl.ConquestMapImplTest
-
This method will test saveMapToFile method that saves the conquest map and
returns true if it successfully saved.
- testSaveMapToFile() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
This method will return true if given riskmap can be saved as domination file
name
- toC - Variable in class com.riskgame.strategy.impl.AggresivePlayer
-
- toString() - Method in class com.riskgame.model.GamePlayPhase
- toString() - Method in class com.riskgame.model.Player
- toString() - Method in class com.riskgame.model.PlayerTerritory
-
- toString() - Method in class com.riskgame.model.RiskCard
- toString() - Method in class com.riskgame.model.RiskCardExchange
- toString() - Method in class com.riskgame.model.RiskMap
-
- TounamentStrategy - Enum in com.riskgame.constant
-
This is the Enum for those all strategies of player which will be useful in
tournament
- TournamentInput - Class in com.riskgame.model
-
This is the model class for tournament input, the command fired for
tournament, it'll be saved as the data of this class.
- TournamentInput() - Constructor for class com.riskgame.model.TournamentInput
-
- TournamentResults - Class in com.riskgame.model
-
This is the model class which will store tournament result for all games.
- TournamentResults() - Constructor for class com.riskgame.model.TournamentResults
-
- tournamentValidMapCheck(List<String>, List<String>) - Method in class com.riskgame.service.Impl.RiskPlayImpl
-
This method is used checking map file
- tournamentValidMapCheck(List<String>, List<String>) - Method in interface com.riskgame.service.RiskPlayInterface
-
This method is used checking map file
- tournamentValidStrategy(List<String>, List<String>) - Method in class com.riskgame.service.Impl.RiskPlayImpl
-
This method is used checking tournamentValidStrategy
- tournamentValidStrategy(List<String>, List<String>) - Method in interface com.riskgame.service.RiskPlayInterface
-
This method is used checking tournamentValidStrategy
- transferGamePlayPhase(Object) - Method in class com.riskgame.controller.RiskPlayScreenController
-
This method will transfer phase of playing from one player to another player
for the first time
- TRUE - Static variable in class com.riskgame.service.impl.MapManagementImplTest
-


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us,you are part of a team of committed collaborators.All aspects of our software development process are intergrated,interactive and agile.
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your business goals,the user's needs and and the product requirements.
Then we help translate into effective and elegant solutios.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your proouct vision.
The outcome of this scoping session is proposal or high-level statement of work.
Based on your requirements,we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.


In this chapter, we will learn how to export our project as a Cordova project and then configure it for building an apk file.
Go to your project settings and fill in the Name, Version, Description and ID as shown in Fig 6-1 below.
Then export your game and select Cordova as shown in Fig 6- 2 below.
Then select a location for the export as shown in Fig 6-3 below.
Do not Minify script. Just click the button Next. You will then see the Cordova export settings as shown in Fig 6-4 below. Make sure your settings is exactly as show. Then click on the button ‘Export’.
After exporting the project, open the exported folder and you should see the files and folders as shown in Fig 6-5 below. In this case the exported folder is called Test. Go ahead and delete the config.json file.
Then, edit the config.xml file using any text or code editor as shown in Fig 6-6 below. Add these two lines:
<preference name="phonegap-version" value="cli-8.0.0"/>
<plugin name="cordova-plugin-admob-free"><variable name="ADMOB_APP_ID" value="ca-app-pub-<PHONE_NUMBER>942544~3347511713" /></plugin>
in the correct places as shown in Fig 6-6 as indicated by the red labels 1 and 2.
Note that the App ID is given by Google Admob for testing purposes. You can refer to this page:
You will also need to create 2 icons sized 256 x 256 and 128 x 128 pixels called icon-256.png and icon-128.png and replace those in the www folder. For purposes of this chapter, you can use mine :
Now you are ready to upload to github. We will do that in the next chapter.


{% extends "base.html" %} {% block title %}
Medieval catalogues > UNIVERSITY AND COLLEGE LIBRARIES OF CAMBRIDGE > Donor documents > Will of Richard Poringland, 10 April 1471; Peterhouse
{% endif %}1 identified entry found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


The Bobcats exceeded expectations last year, finishing the year as runner-up in the MAC and victors of the east division. Entering last year, the team was picked to finish only fourth out of six teams in the East.
This year, it is a much different story for Ohio. By a pretty decent margin, Ohio is projected to make a return to the MAC championship game and finish first in the East division, per the head coaches preseason poll.
“We have a lot more answers going into this fall camp than we did last year,” Head Coach Tim Albin said. “Not everybody is at ease but we are more comfortable with where we are at.”
Whether Ohio lives up to this expectation or not has yet to be seen, but entering week zero against San Diego State, there’s no reason to think that the team will be taking a step back.
Ohio is returning a decent number of starters from the team last season. With those starters, a majority of the team's leaders on both sides of the ball are returning as well.
“We returned so many guys, I saw so many of the same faces that I saw (on day one of camp), they looked fast and very excited to be out there,” Albin said following the first day of training camp back in July.
Among Ohio’s returning players are MAC Player of the Year and Offensive Player of the Year Kurtis Rourke, MAC Freshman of the Year Sieh Bangura and of course, MAC Coach of the Year Tim Albin
The way in which Ohio’s schedule is laid out for the upcoming year is a bit different than in years past. To start out, Ohio will play a week zero game for the first time since Albin took over as head coach. A week zero game means that the team will enjoy two bye weeks during the season while the other MAC teams will only have one.
Ohio ended its season with a bowl game victory last year, and the impact created because of it can’t be overstated. However, with that momentum, the Bobcats also enter with a fire lit from beneath them after a disappointing loss in the MAC title game.
A successful follow-up to last year’s impressive season can mean only one thing – a 2023 MAC title
It’s been a while since Ohio entered a season with this much potential, and the team is not looking to waste it. The Bobcats have not won a MAC title since 1968; this team is hungry to change that.


So, where to begin. I am a Forensic Science grad working in biotech, who's looking to transition into a developer role (yes, I know). I thought that it would be really interesting to document my journey into tech through a series of short blogs as a means of tracking my progress, but also for extrinsic motivation (the embarrassment of giving up after I’ve set such a public goal).
Why the name The Iteration Game? Great question. Most people are familiar with the 10,000 hour rule, which goes something like 'to achieve mastery in a craft, you must dedicate 10,000 hours of deliberate practise to it'. Whilst this may or may not be true, the notion of repetition to develop proficiency is undisputed. For some of us who are undecided on what to master in, this may seem beyond our reach. So what's the alternative? Another excellent question, thank you for asking…
10,000 iterations instead of 10,000 hours.
"Solve via iteration. Then get paid via repetition" – Naval Ravikant. Whilst this can be interpreted as business advice, it applies to the way we navigate through our lives. The most successful people are those who go quickly from failure to failure, adapting and iterating in the process to continually progress. In my case, it's to continuously build, destroy, and rebuild my career in order to find one that I can dedicate the magical 10,000 hours to, however many iterations it may take (very dramatic, I know). I hope to explore the tech landscape to identify exactly what sort of developer I want to be.
Starting again is somewhat daunting. The idea that your efforts in directing your career trajectory has been futile is no fun. I've spent 3 years doing a Forensic Science degree, 1.5 years in the biotech industry and now I want to transition into tech?
(warning: anecdote)
If you're climbing a mountain and come to the end of the trail, thus preventing you from completing your ascent, the right thing to do would be to turn around and pick a different path, irrespective of the progress you've made (or give up, but that's not an option here). Virtues (you can debate whether that's a virtue or not) are easy to speak about anecdotally, but difficult to act on. If I truly believe that starting again would be the best thing to do if one reaches a dead-end, you'd assume that I would act on that, right? Well, that's the plan.
This is going to be fun.


I am an aspiring Year Up student who is interested in the software aspect of technology. Technology for me is a beautiful thing. It can both improve the necessities of life and encourage the growth of knowledge. I am currently learning SharePoint, excel, and other applications to increase my knowledge of project management. In the future I plan on gaining a position in information security and working or interning for the FBI. In addition, to this some of my hobbies are directly and involved in community service and fundraising.
I am a person who loves people and I love interacting with different communities. I am currently involved in some civil engagement in Chinatown. I have always wanted to be a person who helps improve society and that is why I like the technology field. I am poet who loves to read. I feel the words on every page and I hope to work write a book that would inspire people to do better.
Even though I am fond of the field of technology I currently earning my degree in Urban studies at UIC and earning my associates in Liberal Arts at Harold Washington. After graduating Year Up program I planning on getting my associates degree in Computer Information at Harold Washington. Furthermore, towards of the end of my career I hope to create a non-profit organization that will help young professionals in their individual career paths with an emphasis on learning technology. I hope to continue my volunteer work and lifelong learning through out every field I choose to participate in.
"Accept the challenges so that you can feel
the exhilaration of victory."
- George S. Patton
Feel free to email us if you have any questions or comments or need assistance.
~Get To Know Me~
"Together [WE] can spark the brain that changes the World"
- Tupac


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Final Results {% endblock %} {% block content %}
The table below shows your payoff for each of the trading rounds
| Payoff |
|---|
| {{ payoff }} |
Your maximum payoff is {{max_payoff}} points.
Your minimum payoff is {{min_payoff}} points.
Your final payoff is {{final_payoff}} PHP.
{% next_button %}
{% include Constants.instructions_template %} {% endblock %}


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/experimental/inflation/interpolatedyoyoptionletstripper.hpp>
Classes | |
| class | ObjectiveFunction |
Public Member Functions | |
| void | initialize (const ext::shared_ptr< YoYCapFloorTermPriceSurface > &, const ext::shared_ptr< YoYInflationCapFloorEngine > &, Real slope) const override |
| YoYOptionletStripper interface. More... | |
| Rate | minStrike () const override |
| Rate | maxStrike () const override |
| std::vector< Rate > | strikes () const override |
| std::pair< std::vector< Rate >, std::vector< Volatility > > | slice (const Date &d) const override |
| Public Member Functions inherited from YoYOptionletStripper | |
| virtual | ~YoYOptionletStripper ()=default |
| virtual void | initialize (const ext::shared_ptr< YoYCapFloorTermPriceSurface > &, const ext::shared_ptr< YoYInflationCapFloorEngine > &, Real slope) const =0 |
| YoYOptionletStripper interface. More... | |
| virtual Rate | minStrike () const =0 |
| virtual Rate | maxStrike () const =0 |
| virtual std::vector< Rate > | strikes () const =0 |
| virtual std::pair< std::vector< Rate >, std::vector< Volatility > > | slice (const Date &d) const =0 |
Protected Attributes | |
| std::vector< ext::shared_ptr< YoYOptionletVolatilitySurface > > | volCurves_ |
| Protected Attributes inherited from YoYOptionletStripper | |
| ext::shared_ptr< YoYCapFloorTermPriceSurface > | YoYCapFloorTermPriceSurface_ |
| ext::shared_ptr< YoYInflationCapFloorEngine > | p_ |
| Period | lag_ |
| Frequency | frequency_ |
| bool | indexIsInterpolated_ |
The interpolated version interpolates along each K (as opposed to fitting a model, say).
Definition at line 44 of file interpolatedyoyoptionletstripper.hpp.
|
overridevirtual |
YoYOptionletStripper interface.
Implements YoYOptionletStripper.
Definition at line 163 of file interpolatedyoyoptionletstripper.hpp.
|
overridevirtual |
Implements YoYOptionletStripper.
Definition at line 52 of file interpolatedyoyoptionletstripper.hpp.
|
overridevirtual |
Implements YoYOptionletStripper.
Definition at line 53 of file interpolatedyoyoptionletstripper.hpp.
|
overridevirtual |
Implements YoYOptionletStripper.
Definition at line 54 of file interpolatedyoyoptionletstripper.hpp.
|
overridevirtual |
Implements YoYOptionletStripper.
Definition at line 280 of file interpolatedyoyoptionletstripper.hpp.
|
mutableprotected |
Definition at line 62 of file interpolatedyoyoptionletstripper.hpp.


This Developer Guide aims to provide a technical reference and all the information you need to understand Elixium and start contributing to Elixium or to build Elixium-based applications, but is not a Decentralized Application Development Guide, and is also not a specification. This guide is best supplemented by having the Elixium Core Source installed locally.
Questions about Elixium development are best asked in the Telegram Channel. Errors or suggestions for this documentation can be submitted as an issue.
In the following documentation, some strings have been shortened or wrapped: “[…]” indicates extra data was removed, and lines ending in a single backslash “\” are continued below.


| 28 Jun 1491 |
Henry VIII born. |
| 11 Jun 1509 |
Marries Catherine of Aragon (#1), his brother's widow. |
| 24 Jun 1509 |
Crowned King of England. |
| 18 Feb 1516 |
Catherine of Aragon gives birth to Mary I. |
| 11 Feb 1531 |
Henry becomes Supreme Governor of the Church of England. |
| 1533 |
Introduces the Buggery Act, making buggery a hanging offense. This statute remains in effect until 1861. |
| 25 Jan 1533 |
Marries Anne Boleyn (#2) in secret. |
| 23 May 1533 |
Marriage to Catherine of Aragon annulled. |
| 7 Sep 1533 |
Anne Boleyn gives birth to Elizabeth I. |
| 1536 |
Injures his thigh in a jousting accident. His subsequent inability to exercise is responsible for the modern image of his fatness. |
| 11 Feb 1536 |
Marriage to Anne Boleyn annulled. |
| 19 May 1536 |
Anne Boleyn beheaded, having been convicted of adultery, witchcraft, and treason. |
| 30 May 1536 |
Marries Jane Seymour (#3). |
| 12 Oct 1537 |
Jane Seymour gives birth to Edward VI. |
| 24 May 1537 |
Jane Seymour dies. |
| 6 Jan 1540 |
Marries Anne of Cleves (#4). |
| 9 Jul 1540 |
Marriage to Anne of Cleves annulled. |
| 28 Jul 1540 |
Marries Catherine Howard (#5). |
| 13 Feb 1542 |
Catherine Howard beheaded, having been convicted of treason and adultery. |
| 12 Jul 1543 |
Marries Catherine Parr (#6). It is her fourth marriage, making her the most-married Queen of England. |
| 28 Jan 1547 |
Dies, possibly due to gout or Syphilis. |


Unmodified Output
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Modified Output
Cost of parking: Rs 20/Hr
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