Checking that tables are skipped when directed.
For grins, here’s another table without a header. Just keep the bases covered.
Again, in the HTML output, you should see no tables.


advanced usage of jpy-flette¶
jpy-flette works without any configuration. Just run it in the folder of your .ipynb
notebooks, or pass the directory as command line argument.
configuration file¶
If you find yourself re-typing the same command line arguments, or want something oh là là, use a configuration file: Put a fletteconf.yaml
somewhere close to your .ipynb
files. When jpy-flette runs, it looks for a configuration file in the folder you supplied (or the working directory, if you did not pass a path to jpy-flette). With
jpy-flette ~/my/directory/notebooks
it would find ~/my/directory/notebooks/fletteconf.yaml
, if it's there.
The configuration file is written in YAML format. The default configuration is
source: ""
target: "../docs"
theme: "flette"
title_prefix: ""
title_suffix: ""
title_sidebar: "<auto>"
inject: ""
You can overwrite any, or all, of the configuration options in your custom file.
source
(the directory with the.ipynb
notebooks) andtarget
(the directory with the.html
files) are relative to the configuration file.- If
title_sidebar
is set to"<auto>"
, the sidebar title is set based on the first header of the first page (usually your00.index.ipynb
). - The HTML code in
inject
is copied at the end of every generated HTML file (before</body>
)
themes¶
You can vroum jpy-flette with your own themes! Specify the theme
to use in the fletteconf.yaml
file. jpy-flette looks inside its root directory (the directory you installed jpy-flette to) for a folder called theme-<your theme name>/
. You can also specify a full path to your theme directory in the config.
The default theme theme-flette
is built with
- spectre.css css framework
- SCSS pre-processor
- cash as a light replacement for jQuery
- Domine font
- yarn package manager
If you would like to modify the theme, install its develoment dependencies with yarn install
.
technology¶
If you're curious, jpy-flette uses


About The Owner
This site was created by Rihan Foudeh :
i am software enginering and i have with a great passion for the software development industry. Currently, I am learning and studying software development at LTUC college. In addition to his bachelor's degree in software engineering .
Education:
- Advanced Software Development | LTUC-(ASAC)| 6 2021
- software enginering | Wise | 2021
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|
mlpack
1.0.12
|
Alternating Matrix Factorization
Alternating matrix factorization decomposes matrx V in the form where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n x r and H is r x m. The size r is called the rank of the factorization. Factorization is done by alternately calculating W and H respectively while holding the other matrix constant.
mlpack provides:
A list of all the sections this tutorial contains.
The AMF class is templatized with 3 parameters; the first contains the policy used to determine when the algorithm has converged; the second contains the initialization rule for the W and H matrix; the last contains the update rule to be used during each iteration. This templatization allows the user to try various update rules, initialization rules, and termination policies (including ones not supplied with MLPACK) for factorization.
The class provides the following method that performs factorization
The AMF implementation comes with different termination policies to support many implemented algorithms. Every termination policy implements the following method which returns the status of convergence.
list of all the termination policies
In SimpleResidueTermination, termination decision depends on two factors, value of residue and number of iteration. If the current value of residue drops below the threshold or the number of iterations goes beyond the threshold, positive termination signal is passed to AMF.
In SimpleToleranceTermination, termination criterion is met when increase in residue value drops below the given tolerance. To accomodate spikes, certain number of successive residue drops are accepted. Secondary termination criterion terminates algorithm when iteration count goes beyond the threshold.
ValidationRMSETermination divids the data into 2 sets, training set and validation set. Entries of validation set are nullifed in the input matrix. Termination criterion is met when increase in validation set RMSe value drops below the given tolerance. To accomodate spikes certain number of successive validation RMSE drops are accepted. This upper imit on successive drops can be adjusted with reverseStepCount. Secondary termination criterion terminates algorithm when iteration count goes above the threshold. Though this termination policy is better measure of convergence than the above 2 termination policies, it may cause a overhead in performance.
On the other hand CompleteIncrementalTermination and mlpack::amf::IncompleteIncrementalTermination are just wrapper classes for other termination policies. These policies are used when AMF is applied with SVDCompleteIncrementalLearning and SVDIncompleteIncrementalLearning respectively.
The AMF class comes with 2 initialization policies
RandomInitialization initializes matrices W and H with random uniform distribution while RandomAcolInitialization initializes the W matrix by averaging p randomly chosen columns of V. In case of RandomAcolIntialization, p is a template parameter.
To implement their own initialization policy, users need to define the following function in their class.
AMF supports following update rules
Non-Negative Matrix factorization can be achieved with NMFALSUpdate, NMFMultiplicativeDivergenceUpdate or NMFMultiplicativeDivergenceUpdate. NMFALSUpdate implements simple Alternating Least Square optimization while the other rules implement algorithms given in paper 'Algorithms for Non-negative Matrix Factorization'.
The remaining update rules perform Singular Value Decomposition of matrix V. This SVD factorization is optimized for the use by Collaborative Filtering. This use of SVD factorizers for Collaborative Filtering is described in the paper 'A Guide to singular Value Decomposition' by Chih-Chao Ma. For further details about the algorithms refer to the respective class documentation.
The use of AMF for Non-Negative Matrix factorization is simple. The AMF module defines NMFALSFactorizer which can be used directly without knowing the internal structure of AMF. For example -
NMFALSFactorizer uses SimpleResidueTermination which is most prefered with Non-Negative Matrix factorizers. Initialization of W and H in NMFALSFactorizer is random. The Apply function returns the residue obtained by comparing the constructed matrix W * H with the original matrix V.
AMF implementation supports following SVD factorizers
The sparse version of factorizers can be used with Armadillo's sparse matrix support. These specialized implementations boost runtime performance when the matrix to be factorized is relatively sparse.
For further documentation on the AMF class, consult the complete API documentation.


A pyramid excavation has gone terribly wrong! An explosion has scattered treasures and debris all over the Nile river. Our hero, the archaeologist must race down the river to collect the treasure, dodging natives and crocodiles along the way.
Play for free and unlock all the boats for the archaeologist to use.


Following section demonstrates using Count extension, to get count of row(s).
// Table Aliases
var t0 = new Orders().AsQueryable();
// Query
var query = Odb.SQL.Select(x => x.From(t0));
// Read
var result = cn.{{hl}}Count(query){{/hl}};
dRfL97
Limitations of Count extension.
-
All selection fields are ignored and only value of the COUNT() is returned.
-
All rows are counted regardless the field values.
-
Order clause is ingored, because it is not necessary.
To counting the field values by excluding NULL values, you have to use COUNT with a column.
// Table Aliases
var t0 = new Orders().AsQueryable();
using(var exc = cn.Executer()) {
var query = Odb.SQL.Select(x => x.From(t0).Fields( {{hl}}x[t0.OrderID].COUNT(){{/hl}} ));
var result = (int?)(cn.Sql(query).Read().FirstOrDefault()?[0]) ?? 0;
}
dRfL97


Routes
The "Route" is the central concept of Akka HTTP's Routing DSL. All the structures you build with the DSL, no matter whether they consists of a single line or span several hundred lines, are functions turning a RequestContext into a CompletionStage<RouteResult>.
A Route itself is a function that operates on a RequestContext and returns a RouteResult. The RequestContext is a data structure that contains the current request and auxiliary data like the so far unmatched path of the request URI that gets passed through the route structure. It also contains the current ExecutionContext and akka.stream.Materializer, so that these don't have to be passed around manually.
Generally when a route receives a request (or rather a RequestContext for it) it can do one of these things:
- Complete the request by returning the value of requestContext.complete(...)
- Reject the request by returning the value of requestContext.reject(...) (see Rejections)
- Fail the request by returning the value of requestContext.fail(...) or by just throwing an exception (see Exception Handling)
- Do any kind of asynchronous processing and instantly return a Future[RouteResult] to be eventually completed later
The first case is pretty clear, by calling complete a given response is sent to the client as reaction to the request. In the second case "reject" means that the route does not want to handle the request. You'll see further down in the section about route composition what this is good for.
A Route can be "sealed" using Route.seal, which relies on the in-scope RejectionHandler and ExceptionHandler instances to convert rejections and exceptions into appropriate HTTP responses for the client.
Using Route.handlerFlow or Route.asyncHandler a Route can be lifted into a handler Flow or async handler function to be used with a bindAndHandleXXX call from the Low-Level Server-Side API.
RequestContext
The request context wraps an HttpRequest instance to enrich it with additional information that are typically required by the routing logic, like an ExecutionContext, Materializer, LoggingAdapter and the configured RoutingSettings. It also contains the unmatchedPath, a value that describes how much of the request URI has not yet been matched by a Path Directive.
The RequestContext itself is immutable but contains several helper methods which allow for convenient creation of modified copies.
RouteResult
The RouteResult is an opaque structure that represents possible results of evaluating a route. A RouteResult can only be created by using one of the methods of the RequestContext. A result can either be a response, if it was generated by one of the completeX methods, or a rejection that contains information about why the route could not handle the request.
Composing Routes
Routes are composed to form the route tree in two principle ways.
A route can be wrapped by a "Directive" which adds some behavioral aspect to its wrapped "inner route". In the Java DSL, a Directive is a method that returns a Route. In many cases, a Directive method will have an inner route argument that is invoked when its semantics decide to do so, e.g. when a URL path is matched.
Example topics for directives include:
- filtering requests to decide which requests will get to the inner route
- transforming the request before passing it to the inner route
- transforming the response (or more generally the route result) received from the inner route
- applying side-effects around inner route processing, such as measuring the time taken to run the inner route
The other way of composition is defining a list of Route alternatives. Alternative routes are tried one after the other until one route "accepts" the request and provides a response. Otherwise, a route can also "reject" a request, in which case further alternatives are explored. Alternatives are specified by passing a list of routes to to RouteDirectives.route().
The Routing Tree
Essentially, when you combine routes via nesting and alternative, you build a routing structure that forms a tree. When a request comes in it is injected into this tree at the root and flows down through all the branches in a depth-first manner until either some node completes it or it is fully rejected.
Consider this schematic example. In place of directiveA, directiveB, etc., you can just imagine any of the available directives, e.g. matching a particular path, header or request parameter.:
import static akka.http.javadsl.server.Directives.*;
val route =
directiveA(route(() ->
directiveB(route(() ->
directiveC(
... // route 1
),
directiveD(
... // route 2
),
... // route 3
)),
directiveE(
... // route 4
)
));
Here five directives form a routing tree.
- Route 1 will only be reached if directives a, b and c all let the request pass through.
- Route 2 will run if a and b pass, c rejects and d passes.
- Route 3 will run if a and b pass, but c and d reject.
Route 3 can therefore be seen as a "catch-all" route that only kicks in, if routes chained into preceding positions reject. This mechanism can make complex filtering logic quite easy to implement: simply put the most specific cases up front and the most general cases in the back.
Contents


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Vert.x is a polyglot, non-blocking, event-driven application platform that runs on the JVM.
Some of the key highlights include:
Polyglot. You can write your application components in JavaScript, Ruby, Groovy, Java or Python, and you can mix and match several programming languages in a single application.
Simple actor-like concurrency model. Vert.x allows you to write all your code as single threaded, freeing you from many of the pitfalls of multi-threaded programming. (No more synchronized
, volatile
or explicit locking).
Vert.x takes advantage of the JVM and scales seamlessly over available cores without having to manually fork multiple servers and handle inter process communication between them.
Vert.x has a simple, asynchronous programming model for writing scalable non-blocking applications that can scale to 10s, 100s or even millions of concurrent connections using a minimal number of operating system threads.
Vert.x includes a distributed event bus that spans the client and server side so your applications components can communicate easily. The event bus even penetrates into in-browser JavaScript allowing you to create effortless so-called real-time web applications.
Vert.x provides real power and simplicity, without being simplistic. Configuration and boiler-plate is kept to a minimum.
Vert.x includes a powerful module system and public module registry, so you can easily re-use and share Vert.x modules with others.
Vert.x can be embedded in your existing Java applications.
In this section we'll give an overview of the main concepts in Vert.x. Many of these concepts will be discussed in more depth later on in this manual.
The packages of code that Vert.x executes are called verticles (think of a particle, for Vert.x).
Verticles can be written in JavaScript, Ruby, Java, Groovy or Python (Scala and Clojure support is in the pipeline).
Many verticles can be executing concurrently in the same Vert.x instance.
An application might be composed of multiple verticles deployed on different nodes of your network communicating by exchanging messages over the Vert.x event bus.
For trivial applications verticles can be run directly from the command line, but more usually they are packaged up into modules.
Vert.x applications are usually composed of one or more modules. Modules can contain multiple verticles, potentially written in different languages. Modules allow functionality to be encapsulated and reused.
Modules can be placed into any Maven or Bintray repository, and registered in the Vert.x module registry.
The Vert.x module system enables an eco-system of Vert.x modules managed by the Vert.x community.
For more information on modules, please consult the Modules manual.
Verticles run inside a Vert.x instance. A single Vert.x instance runs inside its own JVM instance. There can be many verticles running inside a single Vert.x instance at any one time.
There can be many Vert.x instances running on the same host, or on different hosts on the network at the same time. The instances can be configured to cluster with each other forming a distributed event bus over which verticle instances can communicate.
We want you to be able to develop your verticles in a choice of programming languages. Never have developers had such a choice of great languages, and we want that to be reflected in the languages we support.
Vert.x allows you to write verticles in JavaScript, Ruby, Java, Groovy and Python and we aim to support Clojure and Scala before long. These verticles can seamlessly interoperate with other verticles irrespective of what language they are written in.
Vert.x guarantees that a particular verticle instance is never executed by more than one thread concurrently. This gives you a huge advantage as a developer, since you can program all your code as single threaded.
If you're used to traditional multi-threaded concurrency this may come as a relief since you don't have to synchronize access to your state. This means a whole class of race conditions disappear, and OS thread deadlocks are a thing of the past.
Different verticle instances communicate with each other over the event bus by exchanging messages. Vert.x applications are concurrent because there are multiple single threaded verticle instances concurrently executing and sending messages to each other, and not by having particular verticle instances being executed concurrently by multiple threads.
As such the Vert.x concurrency model resembles the Actor Model where verticle instances correspond to actors. There are are however differences, for example, verticles tend to be more coarse grained than actors.
Vert.x provides a set of asynchronous core APIs. This means that most things you do in Vert.x involve setting event handlers. For example, to receive data from a TCP socket you set a handler - the handler is then called when data arrives.
You also set handlers to receive messages from the event bus, to receive HTTP requests and responses, to be notified when a connection is closed, or to be notified when a timer fires. This is a common pattern throughout the Vert.x API.
We use an asynchronous API so that we can scale to handle many verticles using a small number of operating system threads. In fact Vert.x sets the number of threads to be equal to the number of available cores on the machine. With a perfectly non blocking application you would never need any more threads than that.
With a traditional synchronous API, threads block on API operations, and while they are blocked they cannot do any other work. A good example is a blocking read from a socket. While code is waiting for data to arrive on a socket it cannot do anything else. This means that if we want to support 1 million concurrent connections (not a crazy idea for the next generation of mobile applications) then we would need 1 million threads. This approach clearly doesn't scale.
Asynchronous APIs are sometimes criticised as being hard to develop with, especially when you have to co-ordinate results from more than one event handler.
There are ways to mitigate this, for example, by using a module such as mod-rx-vertx which allows you to compose asynchronous event streams in powerful ways. This module uses the RxJava library which is inspired from .net "Reactive extensions".
Internally, a Vert.x instance manages a small set of threads, matching the number of threads to the available cores on the server. We call these threads event loops, since they more or less just loop around seeing if there are any events to deliver and if so, delivering them to the appropriate handler. Examples of events might be some data has been read from a socket, a timer has fired, or an HTTP response has ended.
When a standard verticle instance is deployed, the server chooses an event loop which will be assigned to that instance. Any subsequent work to be done for that instance will always be dispatched using that exact thread. Of course, since there are potentially many thousands of verticles running at any one time, a single event loop will be assigned to many verticles at the same time.
We call this the multi-reactor pattern. It's like the reactor pattern but there's more than one event loop.
A particular event loop is potentially used to service many verticle instances, so it's critical that you don't block it in your verticle. If you block it it means it can't deliver events to any other handlers, and your application will grind to a halt.
Blocking an event loop means doing anything that ties up the event loop in the verticle and doesn't allow it to quickly continue to handle other events, this includes:
Thread.sleep()
Object.wait()
CountDownLatch.await()
or any other blocking operating from java.util.concurrent
.In a standard verticle you should never block the event loop, however there are cases where you really can't avoid blocking, or you genuinely have computationally intensive operations to perform. An example would calling a traditional
Java API like JDBC.
You also might want to write direct-style blocking code, for example, if you want to write a simple web server, but you know you won't have a lot of traffic and you don't need to scale to many connections.
For cases like these, Vert.x allows you to mark a particular verticle instance as a worker verticle. A worker verticle differs from a standard verticle in that it is not assigned a Vert.x event loop thread, instead it executes on a thread from an internal thread pool called the worker pool.
Like standard verticles, worker verticles are never executed concurrently by more than one thread, but unlike standard verticles they can be executed by different threads at different times - whereas a standard verticle is always executed by the exact same thread.
In a worker verticle it is acceptable to perform operations that might block the thread.
By supporting both standard non blocking verticles and blocking worker verticles, Vert.x provides a hybrid threading model so you can use the appropriate approach for your application. This is much more practical than platforms that mandate that a blocking, or a non blocking approach must be always used.
By careful when using worker verticles - a blocking approach doesn't scale if you want to deal with many concurrent connections.
Message passing is extremely useful, but it's not always the best approach to concurrency for all types of applications. Some use cases are better solved by providing shared data structures that can be accessed directly by different verticle instances in the same Vert.x instance.
Vert.x provides a shared map and shared set facility. We insist that the data stored is immutable in order to prevent race conditions that might occur if concurrent access to shared state was allowed.
Vert.x provides a small and fairly static set of APIs that can be called directly from verticles. We provide the APIs in each of the languages that Vert.x supports.
We envisage that the Vert.x APIs won't change much over time and new functionality will be added by the community and the Vert.x core team in the form of modules which can be published and re-used by anyone.
This means the Vert.x core can remain very small and compact, and you only install those extra modules that you need to use.
The Vert.x APIs can be divided in the container API and the core API
This is the verticle's view of the Vert.x container in which it is running. It contains operations to do things like:
This API provides functionality for:
The vertx
command is used to interact with Vert.x from the command line. It's main use is to run Vert.x modules and raw verticles.
If you just type vertx
at a command line you can see the different options the command takes.
You can run raw Vert.x verticles directly from the command line using 'vertx run'.
Running raw verticles is useful for quickly prototyping code or for trivial applications, but for anything non trivial it's highly recommended to package your application as a module instead. Packaging as module makes the module easier to run, encapsulate and reuse.
At minimum vertx run
takes a single parameter - the name of the verticle to run.
If you're running a verticle written in JavaScript, Ruby, Groovy or Python then it's just the name of the script, e.g. server.js
, server.rb
, or server.groovy
. (It doesn't have to be called server
, you can name it anything as long as it has the right extension).
If the verticle is written in Java the name can either be the fully qualified class name of the Main class, or you can specify the Java Source file directly and Vert.x will compile it for you.
Here are some examples:
vertx run app.js vertx run server.rb vertx run accounts.py vertx run MyApp.java vertx run com.mycompany.widgets.Widget vertx run SomeScript.groovy
You can also prefix the verticle with the name of the language implementation to use. For example if the verticle is a compiled Groovy class, you prefix it with groovy
so that Vert.x knows it's a Groovy class not a Java class.
vertx run groovy:com.mycompany.MyGroovyMainClass
The vertx run
command can take a few optional parameters, they are:
-conf <config_file>
Provides some configuration to the verticle. config_file
is the name of a text file containing a JSON object that represents the configuration for the verticle. This is optional.
-cp <path>
The path on which to search for the verticle and any other resources used by the verticle. This defaults to .
(current directory). If your verticle references other scripts, classes or other resources (e.g. jar files) then make sure these are on this path. The path can contain multiple path entries separated by :
(colon). Each path entry can be an absolute or relative path to a directory containing scripts, or absolute or relative filenames for jar or zip files.
An example path might be -cp classes:lib/otherscripts:jars/myjar.jar:jars/otherjar.jar
Always use the path to reference any resources that your verticle requires. Please, do not put them on the system classpath as this can cause isolation issues between deployed verticles.
-instances <instances>
The number of instances of the verticle to instantiate in the Vert.x server. Each verticle instance is strictly single threaded so to scale your application across available cores you might want to deploy more than one instance. If omitted a single instance will be deployed. We'll talk more about scaling later on in this user manual.
-includes <mod_list>
A comma separated list of module names to include in the classpath of this verticle.
For more information on what including a module means please see the modules manual.
-worker
This options determines whether the verticle is a worker verticle or not.
-cluster
This option determines whether the Vert.x instance will attempt to form a cluster with other Vert.x instances on the network. Clustering Vert.x instances allows Vert.x to form a distributed event bus with other nodes. Default is false (not clustered).
-cluster-port
If the cluster
option has also been specified then this determines which port will be used for cluster communication with other Vert.x instances. Default is 0
-which means 'chose a free ephemeral port. You don't usually need to specify this parameter unless you really need to bind to a specific port.
-cluster-host
If the cluster
option has also been specified then this determines which host address will be used for cluster communication with other Vert.x instances. By default it will try and pick one from the available interfaces. If you have more than one interface and you want to use a specific one, specify it here.
Here are some more examples of vertx run
:
Run a JavaScript verticle server.js with default settings
vertx run server.js
Run 10 instances of a pre-compiled Java verticle specifying classpath
vertx run com.acme.MyVerticle -cp "classes:lib/myjar.jar" -instances 10
Run 10 instances of a Java verticle by source file
vertx run MyVerticle.java -instances 10
Run 20 instances of a ruby worker verticle
vertx run order_worker.rb -instances 20 -worker
Run two JavaScript verticles on the same machine and let them cluster together with each other and any other servers on the network
vertx run handler.js -cluster vertx run sender.js -cluster
Run a Ruby verticle passing it some config
vertx run my_vert.rb -conf my_vert.conf
Where my_vert.conf
might contain something like:
{ "name": "foo", "num_widgets": 46 }
The config will be available inside the verticle via the core API.
Vert.x works out what language implementation module to use based on the file prefix using the mapping in the file langs.properties
in the Vert.x distribution. If there is some ambiguity, e.g. you want to specify a class as a verticle, but it's a Groovy class, not a Java class, then you can prefix the main with the language implementation name, e.g. to run a compiled class as a Groovy verticle:
vertx run groovy:com.mycompany.MyGroovyMainVerticle
It's highly recommended that you package any non trivial Vert.x functionality into a module. For detailed information on how to package your code as a module please see the modules manual.
To run a module, instead of vertx run
you use vertx runmod <module name>
.
This takes some of the same options as vertx run
. They are:
-conf <config_file>
- same meaning as in vertx run
-instances <instances>
- same meaning as in vertx run
-cluster
- same meaning as in vertx run
-cluster-host
- same meaning as in vertx run
-cp
If this option is specified for a module then it overrides the standard module classpath and Vert.x will search for the mod.json
and other module resources using the specified classpath instead. This can be really useful when, for example, developing a module in an IDE - you can run the module in a different classpath and specify the classpath to point to where the idea stores the project resources. Couple this with auto-redeploy of modules and you can have your module immediately reloaded and reflecting the changes in your IDE as you make them.
If you attempt to run a module and it hasn't been installed locally, then Vert.x will attempt to install it from one of the configured repositories. Out of the box Vert.x is configured to install modules from Maven Central, Sonatype Nexus, Bintray and your local Maven repository. You can also configure it to use any other Maven or bintray repository by configuring the repos.txt
file in the Vert.x conf
directory. See the modules manual for more on this.
Some examples of running modules directly:
Run an module called com.acme~my-mod~2.1
vertx runmod com.acme~my-mod~2.1
Run a module called com.acme~other-mod~1.0.beta1
specifying number of instances and some config
vertx runmod com.acme~other-mod~1.0.beta1 -instances 10 -conf other-mod.conf
The command vertx runzip
can be used to run a module directly from a module zip file, i.e. the module doesn't have to be pre-installed either locally or in a module repository somewhere. To do this just type
vertx runzip <zip_file_name>
For example
vertx runzip my-mod~2.0.1.zip
Vert.x will unzip the module into the system temporary directory and run it from there.
Vert.x also supports assembling 'fat jars'. These are executable jars which contain the Vert.x binaries along with your module so the module can be run by just executing the jar
java -jar mymodule-1.0-fat.jar
This means you don't have to have Vert.x pre-installed on the machine on which you execute the jar.
You can also provide the usual command line arguments that you would pass to vertx runmod
when executing the jar, e.g.
java -jar mymodule-1.0-fat.jar -cluster -conf myconf.json
You can also specify a -cp
argument to specify extra classpath to pass to the Vert.x platform. This is useful if you, say, want to use a custom cluster.xml
when running the module, e.g.
java -jar mymodule-1.0-fat.jar -cluster -conf myconf.json -cp path/to/dir/containiner/cluster_xml
To create a fat jar you can run
vertx fatjar <module_name>
Or you can use the Gradle task in the standard Gradle build or the Maven plugin to build them.
If you want to override any Vert.x platform configuration, e.g. langs.properties
, cluster.xml
or logging configuration, you can add those files to the directory platform_lib
inside your module that you're making into a fat jar.
To display the installed version of Vert.x type
vertx version
Please see the modules manual for a detailed description of this.
Vert.x allows you to run your modules with high availability (HA) support.
When a module is run with HA, if the Vert.x instance where it is running fails, it will be re-started automatically on another node of the cluster. We call this module fail-over.
To run a module with HA, you simply add the -ha
switch when running it on the command line, for example:
vertx runmod com.acme~my-mod~2.1 -ha
Now for HA to work you need more than one Vert.x instances in the cluster, so let's say you have another Vert.x instance that you have already started, for example:
vertx runmod com.acme~my-other-mod~1.1 -ha
If the Vert.x instance that is running com.acme~my-mod~2.1 now dies (you can test this by killing the process with kill -9
), the Vert.x instance that is running com.acme~my-other-mod~1.1
will automatic deploy com.acme~my-mod~2.1
so now that Vert.x instance is running both module com.acme~my-mod~2.1
and com.acme~my-other-mod~1.1
.
Please note that cleanly closing a Vert.x instance will not cause failover to occur, e.g. CTRL-C
or kill -SIGINT
You can also start "bare" Vert.x instances - i.e. instances that are not initially running any modules, they will also failover for nodes in the cluster. To start a bare instance you simply do:
vertx -ha
When using the ha
switch you do not need to provide the -cluster
switch, as a cluster is assumed if you want HA.
When running a Vert.x instance with HA you can also optional specify an HA group. An HA group denotes a logical grouping of nodes in the cluster. Only nodes with the same HA group will failover onto one another. If you don't specify an HA group the default group __DEFAULT__
is used.
To specify an HA group you use the -hagroup
switch when running the module, e.g.
vertx runmod com.acme~my-mod~2.1 -ha -hagroup somegroup
Let's look at an example:
In console 1:
vertx runmod com.mycompany~my-mod1~1.0 -ha -hagroup g1
In console 2:
vertx runmod com.mycompany~my-mod2~1.0 -ha -hagroup g1
In console 3:
vertx runmod com.mycompany~my-mod3~1.0 -ha -hagroup g2
If we kill the instance in console 1, it will fail over to the instance in console 2, not the instance in console 3 as that has a different group.

The HA implementation also supports quora.
When starting a Vert.x instance you can instruct it that it requires a "quorum" before any HA deployments will be deployed. A quorum is a minimum number of nodes for a particular group in the cluster. Typically you chose your quorum size to Q = 1 + N/2
where N
is the number of nodes in the group.
If there are less than Q
nodes in the cluster the HA deployments will undeploy. They will redeploy again if/when a quorum is re-attained. By doing this you can prevent against network partitions, a.k.a. split brain
.
There is more informaton on quora here
To run vert.x instances with a quorum you specify -quorum
on the command line, e.g.
E.g.
In console 1:
vertx runmod com.mycompany~my-mod1~1.0 -ha -quorum 3
At this point the Vert.x instance will start but not deploy the module (yet) because there is only one node in the cluster, not 3.
In console 2:
vertx runmod com.mycompany~my-mod2~1.0 -ha -quorum 3
At this point the Vert.x instance will start but not deploy the module (yet) because there are only two nodes in the cluster, not 3.
In console 3:
vertx runmod com.mycompany~my-mod3~1.0 -ha -quorum 3
Yay! - we have three nodes, that's a quorum. At this point the modules will automatically deploy on all three instances.
If we now close or kill one of the nodes the modules will automatially undeploy on the other nodes, as there is no longer a quorum.
Quora can also be used in conjunction with ha groups.
Each verticle instance gets its own logger which can be retrieved from inside the verticle. For information on how to get the logger please see the API reference guide for the language you are using.
The log files by default go in a file called vertx.log
in the system temp directory. On my Linux box this is \tmp
.
By default JUL logging is used. This can be configured using the file $VERTX_HOME\conf\logging.properties
. Where VERTX_HOME
is the directory in which you installed Vert.x.
Advanced note: If you'd rather use a different logging framework, e.g. log4j you can do this by specifying a system property when running Vert.x (edit the vertx.sh script), e.g.
-Dorg.vertx.logger-delegate-factory-class-name=org.vertx.java.core.logging.impl.Log4jLogDelegateFactory
or
-Dorg.vertx.logger-delegate-factory-class-name=org.vertx.java.core.logging.impl.SLF4JLogDelegateFactory
If you don't want to use the Vert.x provided logging facilities that's fine. You can just use your preferred logging framework as normal and include the logging jar and config in your module.
Vert.x maintains two thread pools: The event loop pool and the background (worker) thread pool
The event loop pool is used to provide event loops for standard verticles. The default size is determined by the number of cores you have on your machine as returned by Runtime.getRuntime().availableProcessors()
.
For a standard setup there should little reason to change this as it should be optimal, however if you do wish to change it you can set the system property vertx.pool.eventloop.size
.
This pool is used to provide threads for worker verticles and other internal blocking tasks. Since worker threads often block it would usually be larger than the event loop pool. The default maximum size is 20
.
To change the maximum size, you can set the system property vertx.pool.worker.size
To configure clustering use the file conf/cluster.xml
in the distribution.
If you want to receive more info on cluster setup etc, then edit conf/logging.properties
to read com.hazelcast.level=INFO
In particular when running clustered, and you have more than one network interface to choose from, make sure Hazelcast is using the correct interface by editing the interfaces-enabled
element.
If your network does not support multicast you can easily disable multicast and enable tcp-ip in the configuration file.
If you're creating a lot of connections to a Vert.x server in a short period of time, you may need to tweak some settings in order to avoid the TCP accept queue getting full. This can result in connections being refused or packets being dropped during the handshake which can then cause the client to retry.
A classic symptom of this is if you see long connection times just over 3000ms at your client.
How to tune this is operating system specific but in Linux you need to increase a couple of settings in the TCP / Net config (10000 is an arbitrarily large number)
sudo sysctl -w net.core.somaxconn=10000 sudo sysctl -w net.ipv4.tcp_max_syn_backlog=10000
For other operating systems, please consult your operating system documentation.
And you also need to set the accept backlog in your server code, (e.g. in Java:)
HttpServer server = vertx.createHttpServer(); server.setAcceptBacklog(10000);
In order to handle large numbers of connections on your server you will probably have to increase the maximum number of file handles as each socket requires a file handle. How to do this is operating system specific.
Each TCP connection allocates memory for its buffer, so to support many connections in limited RAM you may need to reduce the TCP buffer size, e.g.
HttpServer server = vertx.createHttpServer(); server.setSendBufferSize(4 * 1024); server.setReceiveBufferSize(4 * 1024);
Vert.x uses the following amazing open source projects:


Next: Summary of Termination Test Clauses, Previous: Summary of Variable Initialization and Stepping Clauses, Up: Overview of the Loop Facility
The collect (or collecting) construct takes one form in its clause and adds the value of that form to the end of a list of values. By default, the list of values is returned when the loop finishes.
The append (or appending) construct takes one form in its clause and appends the value of that form to the end of a list of values. By default, the list of values is returned when the loop finishes.
The nconc (or nconcing) construct is similar to the append construct, but its list values are concatenated as if by the function nconc. By default, the list of values is returned when the loop finishes.
The sum (or summing) construct takes one form in its clause that must evaluate to a number and accumulates the sum of all these numbers. By default, the cumulative sum is returned when the loop finishes.
The count (or counting) construct takes one form in its clause and counts the number of times that the form evaluates to true. By default, the count is returned when the loop finishes.
The minimize (or minimizing) construct takes one form in its clause and determines the minimum value obtained by evaluating that form. By default, the minimum value is returned when the loop finishes.
The maximize (or maximizing) construct takes one form in its clause and determines the maximum value obtained by evaluating that form. By default, the maximum value is returned when the loop finishes.
For more information, see Value Accumulation Clauses.


Now
This page hosts regular updates about what I have been up to lately.
Insipred by Derek Siver’s Now Page.1
- Helping OneFootball build a platform for the football community as a Software Engineer.
- Improving physical strength with daily workouts (1 hr every day).
- Squat: 55kg
- Deadlift: 60kg
- Bench Press: 40kg
Updated: 26th July 2023
-
Derek Siver’s movement for creating a “now” page ↩


{% extends "site_base.html" %} {% load i18n %} {% block head_title %}Coming up Roses - Contact{% endblock %} {% block body_class %}home{% endblock %} {% block body_base %} {% include "_messages.html" %} {% load static %} Contact Me Please use the form below for any queries. Alternatively, you can email me, call me on<PHONE_NUMBER>3, or connect on Instagram or Facebook. {% csrf_token %} {{ form.as_p }} Send Treatment and Price List About {% endblock %}
Please use the form below for any queries. Alternatively, you can email me, call me on<PHONE_NUMBER>3, or connect on Instagram or Facebook.


verbs library
Classes
-
Config
-
Config verb is used for configuring or viewing an @sign's block/allow list. 'from' verb functionality is dertermined by using
the configurations of 'config' verb. [...]
-
Cram
-
The cram verb is used to authenticate the @sign to the secondary server. On successful request, binds the @sign to the secondary server. The secret is appended to the challenge (response of from verb) and gives a SHA512 digest which serves as an input to the CRAM verb.
On successful cram verb request, the @sign is successfully authenticated to the secondary server and allows user to Add/Update, Delete and lookup the keys in their respective secondary servers. [...]
-
Delete
-
To delete an entry, an @sign client transmits a well formed delete request to the @sign secondary server.
The @sign should be authenticated using the cram verb prior to use the delete verb.
A malformed request closes the @sign client connection.
A delete request must contain the distinguished name of the key to be deleted. [...]
-
From
-
The "from" verb is used to establish a new @sign connection to an @sign secondary server.
It tells the @server what @sign you claim to be and the @server on successful connection gives a challenge for authentication of @sign [...]
-
LocalLookup
-
The "llookup" verb can be used to locally lookup keys stored on the secondary server. To perform local look up, the user should be successfully authenticated via the "cram" verb.
malformed request closes the @sign client connection. [...]
-
Lookup
-
The “lookup” verb allows the lookup of a particular address in the @ handles namespace. The “lookup” verb provides public lookups and specific key look ups when authenticated as a particular @ handle using the “from” and “pol” verbs.
If a lookup is valid the resulting information is returned with the data: header and a carriage return and a further @ prompt ready for further commands. If the lookup is not valid then a null is returned again with the data: header.
The @sign should be authenticated using the cram verb prior to use the lookup verb.
A malformed request closes the @sign client connection. [...]
-
Monitor
-
-
Notify
-
The “notify” verb allows the notify user.
The @sign should be authenticated using the cram/pkam verb prior to use the notify verb.
A malformed request does not close the @sign client connection. [...]
-
NotifyList
-
The “notify:list” allows the notify user.
The @sign should be authenticated using the cram/pkam verb prior to use the notify verb.
A malformed request does not close the @sign client connection. [...]
-
Pkam
-
The pkam( Public Key Authentication Mechanism) verb is used to authenticate the @sign to the secondary server. This is similar to how ssh authentication works. On successful request, binds the @sign to the secondary server.
On successful pkam verb request, the @sign is successfully authenticated to the secondary server and allows user to Add/Update, Delete and lookup the keys in their respective secondary servers. [...]
-
Pol
-
The "pol" verb allows to switch as another @sign user. To switch as another user, use from:<@sign>(The another @sign user) verb which gives a response as proof:; then use pol verb. On successful authentication, the prompt changes to the another @sign user.
An invalid syntax closes the atsign client connection. [...]
-
ProxyLookup
-
The "plookup" verb, provides a proxied public lookups for a resolver that perhaps is behind a firewall. This will allow a resolver to contact a @ server and have the @ server lookup both public @ handles information.
This will be useful in large enterprise environments where they would want all lookups going through a single secondary server for the entity or where a single port needs to be opened through a firewall to lookup @ handles.
The @sign should be authenticated using cram verb prior to use the plookup verb.
A malformed request closes the @sign client connection. [...]
-
Scan
-
The "scan" verb scans the available keys for you at the public level. If the key has a '_' character has it first character, then it is omitted from the scan list, although it can still be looked up if known.
The scan verb when used by unauthenticated @sign user, scans for keys that are available to you at your current state.
The scan when used by an authenticated user via the cram verb, scans all the available keys on the secondary server. [...]
-
Stats
-
Syntax: stats
stats verb used to get all the available metrics
example: Number of active inbound/outbound connections, last commit ID etc.
-
StreamVerb
-
-
Sync
-
The "sync" verb is used to fetch all the changes after a given commit sequence number from the commit log on the server [...]
-
Update
-
The update verb adds/updates the keys in the secondary server. The update verb is used to set public responses and specific responses for a particular authenticated users after using the pol verb.
The @sign should be authenticated using cram verb prior to use the update verb.
A malformed request closes the @sign client connection. [...]
-
UpdateMeta
-
-
Verb
-
Represents a Verb in the @sign protocol.


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public interface MemoryMXBean extends PlatformManagedObject
A Java virtual machine has a single instance of the implementation
class of this interface. This instance implementing this interface is
an MXBean
that can be obtained by calling
the ManagementFactory.getMemoryMXBean()
method or
from the platform MBeanServer
method.
The ObjectName for uniquely identifying the MXBean for the memory system within an MBeanServer is:
java.lang:type=Memory
It can be obtained by calling the
PlatformManagedObject.getObjectName()
method.
The heap may be of a fixed size or may be expanded and shrunk. The memory for the heap does not need to be contiguous.
The Java virtual machine has a method area that is shared among all threads. The method area belongs to non-heap memory. It stores per-class structures such as a runtime constant pool, field and method data, and the code for methods and constructors. It is created at the Java virtual machine start-up.
The method area is logically part of the heap but a Java virtual machine implementation may choose not to either garbage collect or compact it. Similar to the heap, the method area may be of a fixed size or may be expanded and shrunk. The memory for the method area does not need to be contiguous.
In addition to the method area, a Java virtual machine implementation may require memory for internal processing or optimization which also belongs to non-heap memory. For example, the JIT compiler requires memory for storing the native machine code translated from the Java virtual machine code for high performance.
Memory pools
and
memory managers
are the abstract entities
that monitor and manage the memory system
of the Java virtual machine.
A memory pool represents a memory area that the Java virtual machine manages. The Java virtual machine has at least one memory pool and it may create or remove memory pools during execution. A memory pool can belong to either the heap or the non-heap memory.
A memory manager is responsible for managing one or more memory pools. The garbage collector is one type of memory manager responsible for reclaiming memory occupied by unreachable objects. A Java virtual machine may have one or more memory managers. It may add or remove memory managers during execution. A memory pool can be managed by more than one memory manager.
The memory usage can be monitored in three ways:
MemoryPoolMXBean
interface.
The memory usage monitoring mechanism is intended for load-balancing or workload distribution use. For example, an application would stop receiving any new workload when its memory usage exceeds a certain threshold. It is not intended for an application to detect and recover from a low memory condition.
This MemoryMXBean is a
NotificationEmitter
that emits two types of memory notifications
if any one of the memory pools
supports a usage threshold
or a collection usage
threshold which can be determined by calling the
MemoryPoolMXBean.isUsageThresholdSupported()
and
MemoryPoolMXBean.isCollectionUsageThresholdSupported()
methods.
usage threshold exceeded notification
- for notifying that
the memory usage of a memory pool is increased and has reached
or exceeded its
usage threshold value.
collection usage threshold exceeded notification
- for notifying that
the memory usage of a memory pool is greater than or equal to its
collection usage threshold after the Java virtual machine
has expended effort in recycling unused objects in that
memory pool.
The notification emitted is a Notification
instance whose user data
is set to a CompositeData
that represents a MemoryNotificationInfo
object
containing information about the memory pool when the notification
was constructed. The CompositeData contains the attributes
as described in MemoryNotificationInfo
.
ManagementFactory.getMemoryMXBean()
implements
the NotificationEmitter
interface that allows a listener to be registered within the
MemoryMXBean as a notification listener.
Below is an example code that registers a MyListener to handle
notification emitted by the MemoryMXBean.
class MyListener implements javax.management.NotificationListener { public void handleNotification(Notification notif, Object handback) { // handle notification .... } } MemoryMXBean mbean = ManagementFactory.getMemoryMXBean(); NotificationEmitter emitter = (NotificationEmitter) mbean; MyListener listener = new MyListener(); emitter.addNotificationListener(listener, null, null);
ManagementFactory.getPlatformMXBeans(Class)
,
JMX Specification.,
Ways to Access MXBeans| Modifier and Type | Method and Description |
|---|---|
void |
gc()
Runs the garbage collector.
|
MemoryUsage |
getHeapMemoryUsage()
Returns the current memory usage of the heap that
is used for object allocation.
|
MemoryUsage |
getNonHeapMemoryUsage()
Returns the current memory usage of non-heap memory that
is used by the Java virtual machine.
|
int |
getObjectPendingFinalizationCount()
Returns the approximate number of objects for which
finalization is pending.
|
boolean |
isVerbose()
Tests if verbose output for the memory system is enabled.
|
void |
setVerbose(boolean value)
Enables or disables verbose output for the memory
system.
|
getObjectName
int getObjectPendingFinalizationCount()
MemoryUsage getHeapMemoryUsage()
The amount of used memory in the returned memory usage is the amount of memory occupied by both live objects and garbage objects that have not been collected, if any.
MBeanServer access:
The mapped type of MemoryUsage is
CompositeData with attributes as specified in
MemoryUsage
.
MemoryUsage
object representing
the heap memory usage.MemoryUsage getNonHeapMemoryUsage()
MBeanServer access:
The mapped type of MemoryUsage is
CompositeData with attributes as specified in
MemoryUsage
.
MemoryUsage
object representing
the non-heap memory usage.boolean isVerbose()
void setVerbose(boolean value)
Each invocation of this method enables or disables verbose output globally.
value
- true to enable verbose output;
false to disable.SecurityException
- if a security manager
exists and the caller does not have
ManagementPermission("control").void gc()
gc()
is effectively equivalent to the
call:
System.gc()
System.gc()
Dracula Javadoc Sample, Made with Allan Im.


| Up | TOC | Index | |||||
| << 7 Included Tools | < 7.5 EuDist, Distributing Programs | Up: 8 API Reference | 8.2 Command Line Handling > | 9 Release Notes >> |
8.1 Built-in Routines
These built-in routines do not require an include file:
A built-in routine has global scope and belongs to the eu namespace.
An identifier for a built-in is not reserved; it is possible to override a built-in identifier with a new declaration.


Sheryl Ostrich Barto
Unafffiliated
Self Employed, PR Agency
BA Journalism
81623
I am married to Karl Hanlon who has run for office 2x - once for state office and once for federal office. Donated to: Hanlon for Congress in 2018, Donated to Hickenlooper for Senate in 2020, Hanlon for State Senate in 2020 and Biden for President in 2020. Helped with communications for both of Karl Hanlon's campaigns
Volunteered to get a school district mil levy passed using my PR skills. I was a commissioner to appoint a new judge for the 9th Judicial District/Rio Blanco County. I am a board member at Smiling Goat Ranch, a nonprofit I founded with my husband.
In my PR work, I have represented the Roaring Fork School District and drafted a comprehensive communications plan for all the district's stakeholder groups. I have also represented a real estate developer in a municipal election in Aspen.
After learning so much about CD3 from my husband's political campaign, I'd like to be part of looking for more neutral ways to draw electoral districts, and to ensure that districts fairly represent communities and avoid extreme political contentiousness about the drawing and redrawing electoral districts.
Each individual needs to be heard – to share their opinion, listen, and remain open to new ideas or directions. Everyone's opinions need to be pooled and the overall success of the group is what's most important. Active Listening is critical - listen to the opinions of others carefully and without interruption. In the end, need to be mindful that I won't (nor will anyone else on the commission) get everything I want but need to come to an agreement everyone can accept and live with.
I have spent more than 30 years as a professional public relations practitioner using communication skills for problem solving and consensus-building from working with the media to promote consumer products to running campaigns for mil levies, political candidates or managing issues and crisis communications.
Female


Security¶
Security in Superset is handled by Flask AppBuilder (FAB). FAB is a “Simple and rapid application development framework, built on top of Flask.”. FAB provides authentication, user management, permissions and roles. Please read its Security documentation.
Provided Roles¶
Superset ships with a set of roles that are handled by Superset itself.
You can assume that these roles will stay up-to-date as Superset evolves.
Even though it’s possible for Admin
usrs to do so, it is not recommended
that you alter these roles in any way by removing
or adding permissions to them as these roles will be re-synchronized to
their original values as you run your next superset init
command.
Since it’s not recommended to alter the roles described here, it’s right
to assume that your security strategy should be to compose user access based
on these base roles and roles that you create. For instance you could
create a role Financial Analyst
that would be made of set of permissions
to a set of data sources (tables) and/or databases. Users would then be
granted Gamma
, Financial Analyst
, and perhaps sql_lab
.
Admin¶
Admins have all possible rights, including granting or revoking rights from other users and altering other people’s slices and dashboards.
Alpha¶
Alpha have access to all data sources, but they cannot grant or revoke access from other users. They are also limited to altering the objects that they own. Alpha users can add and alter data sources.
Gamma¶
Gamma have limited access. They can only consume data coming from data sources they have been given access to through another complementary role. They only have access to view the slices and dashboards made from data sources that they have access to. Currently Gamma users are not able to alter or add data sources. We assume that they are mostly content consumers, though they can create slices and dashboards.
Also note that when Gamma users look at the dashboards and slices list view, they will only see the objects that they have access to.
sql_lab¶
The sql_lab
role grants access to SQL Lab. Note that while Admin
users have access to all databases by default, both Alpha
and Gamma
users need to be given access on a per database basis.
Public¶
It’s possible to allow logged out users to access some Superset features.
By setting PUBLIC_ROLE_LIKE_GAMMA = True
in your superset_config.py
,
you grant public role the same set of permissions as for the GAMMA role.
This is useful if one wants to enable anonymous users to view
dashboards. Explicit grant on specific datasets is still required, meaning
that you need to edit the Public
role and add the Public data sources
to the role manually.
Managing Gamma per data source access¶
Here’s how to provide users access to only specific datasets. First make
sure the users with limited access have [only] the Gamma role assigned to
them. Second, create a new role (Menu -> Security -> List Roles
) and
click the +
sign.
This new window allows you to give this new role a name, attribute it to users
and select the tables in the Permissions
dropdown. To select the data
sources you want to associate with this role, simply click in the dropdown
and use the typeahead to search for your table names.
You can then confirm with your Gamma users that they see the objects (dashboards and slices) associated with the tables related to their roles.
Customizing¶
The permissions exposed by FAB are very granular and allow for a great level
of customization. FAB creates many permissions automagically for each model
that is create (can_add, can_delete, can_show, can_edit, …) as well as for
each view. On top of that, Superset can expose more granular permissions like
all_datasource_access
.
We do not recommend altering the 3 base roles as there are a set of assumptions that Superset build upon. It is possible though for you to create your own roles, and union them to existing ones.
Permissions¶
Roles are composed of a set of permissions, and Superset has many categories of permissions. Here are the different categories of permissions:
- Model & action: models are entities like
Dashboard
,Slice
, orUser
. Each model has a fixed set of permissions, likecan_edit
,can_show
,can_delete
,can_list
,can_add
, and so on. By addingcan_delete on Dashboard
to a role, and granting that role to a user, this user will be able to delete dashboards. - Views: views are individual web pages, like the
explore
view or theSQL Lab
view. When granted to a user, he/she will see that view in the its menu items, and be able to load that page. - Data source: For each data source, a permission is created. If the user
does not have the
all_datasource_access
permission granted, the user will only be able to see Slices or explore the data sources that are granted to them - Database: Granting access to a database allows for the user to access all data sources within that database, and will enable the user to query that database in SQL Lab, provided that the SQL Lab specific permission have been granted to the user
Restricting access to a subset of data sources¶
The best way to go is probably to give user Gamma
plus one or many other
roles that would add access to specific data sources. We recommend that you
create individual roles for each access profile. Say people in your finance
department might have access to a set of databases and data sources, and
these permissions can be consolidated in a single role. Users with this
profile then need to be attributed Gamma
as a foundation to the models
and views they can access, and that Finance
role that is a collection
of permissions to data objects.
One user can have many roles, so a finance executive could be granted
Gamma
, Finance
, and perhaps another Executive
role that gather
a set of data sources that power dashboards only made available to executives.
When looking at its dashboard list, this user will only see the
list of dashboards it has access to, based on the roles and
permissions that were attributed.
Restricting the access to some metrics¶
Sometimes some metrics are relatively sensitive (e.g. revenue).
We may want to restrict those metrics to only a few roles.
For example, assumed there is a metric [cluster1].[datasource1].[revenue]
and only Admin users are allowed to see it. Here’s how to restrict the access.
- Edit the datasource (
Menu -> Source -> Druid datasources -> edit the record "datasource1"
) and go to the tabList Druid Metric
. Check the checkboxIs Restricted
in the row of the metricrevenue
. - Edit the role (
Menu -> Security -> List Roles -> edit the record “Admin”
), in the permissions field, type-and-search the permissionmetric access on [cluster1].[datasource1].[revenue] (id: 1)
, then click the Save button on the bottom of the page.
Any users without the permission will see the error message Access to the metrics denied: revenue (Status: 500) in the slices. It also happens when the user wants to access a post-aggregation metric that is dependent on revenue.


RT @PragTob: Come and dive into @shoooesrb with @jasonrclark and I at @eurucamp : http://rubyweek.org/activities/29
8/1/2015, 5:00:36 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @PragTob: Come and dive into @shoooesrb with @jasonrclark and I at @eurucamp : http://rubyweek.org/activities/29
8/1/2015, 5:00:36 AM
Favs: 0
Retweets: 0
link


Arc's macro system is more similar to Lisp than to Scheme; an Arc macro resembles a function that generates code.
Macros in Arc typically use quote and quasiquote to generate the code, and use uniq to generate unique symbols.
For details on the internals of Arc macros, see macro internals.
macname args [body ...]
Creates a macro.
>(mac mymac (a b) (+ a b))
#(tagged mac #<procedure: mymac>)
macexmacro
Expands a macro.
>(macex '(let a 1 (pr a)))
((fn (a) (pr a)) 1)
macex1 macro
Expands a macro to one level.
>(macex1 '(let a 1 (pr a)))
(with (a 1) (pr a))
uniq
Generates a unique symbol.
>(uniq)
gs2140
w/uniqnames [body ...]
Assigns a unique symbol to each name in names and executes body. names can either be a single symbol or a list of symbols.
>(w/uniq (a b c) (prn a b c))
gs2141gs2142gs2143
gs2141
quasiquotearg
The backquote ` is shorthand for quasiquote, e.g. `(+ 1 2) is the same as (quasiquote (1 2)). Inside quasiquote, the unquote
operator will cause the contents to be evaluated instead of quoated. The
unquote-splicing operator will cause contents to be evaluated and spliced
into the result. , is shorthand for unquote, and ,@ is shorthand for
unquote-splicing.
>`((+ 1 2) ,(+ 3 4) ,@(list 5 6))
((+ 1 2) 7 5 6)
quotearg
The single quote ' is shorthand for quote, e.g. 'x is the same as (quote x)


All Classes
Administrator
Administrator
ArrayUtils
Borrow
Borrower
Borrower
BorrowState
Command
Config
CopyFile
Equipment
Error
Feature
Find
Health
HealthState
Inventory
InventoryElement
IView
Json
Log
Logs
Logs.Type
Main
MiniProject
MiniProjectController
MiniProjectException
Person
SaveLoad
State
Stats
User
User
View


Base type: Orion.ForecastCapacity
Summary: Capacity Forecasting for Volumes.
| Name | Type | Notes |
|---|---|---|
| InstanceId | System.Int32 | |
| InstanceUri | System.String | |
| DetailsUrl | System.String | |
| NodeID | System.Int32 | |
| EntityType | System.String | |
| InstanceId | System.Int32 | |
| MetricId | System.Int32 | |
| MetricName | System.String | |
| InstanceCaption | System.String | |
| ThresholdType | System.Int32 | |
| Timestamp | System.DateTime | |
| MinDateTime | System.DateTime | |
| MaxDateTime | System.DateTime | |
| CurrentValue | System.Double | |
| WarningThreshold | System.Double | |
| CriticalThreshold | System.Double | |
| CapacityThreshold | System.Double | |
| Aavg | System.Double | |
| Bavg | System.Double | |
| Apeak | System.Double | |
| Bpeak | System.Double | |
| DaysToWarningAvg | System.Double | |
| DaysToCriticalAvg | System.Double | |
| DaysToCapacityAvg | System.Double | |
| DaysToWarningPeak | System.Double | |
| DaysToCriticalPeak | System.Double | |
| DaysToCapacityPeak | System.Double | |
| InstanceUri | System.String | |
| DetailsUrl | System.String | |
| DisplayName | System.String | |
| Description | System.String | |
| InstanceType | System.Type | |
| Uri | System.String | |
| InstanceSiteId | System.Int32 | Default='0'. |
| Volume | Orion.Volumes | Defined by relationship Orion.VolumesHostsForecastCapacity (System.Hosting) |


The control/auto/while_aux.h
header defines a looping construct.
#include <chaos/preprocessor/control/auto/while_aux.h>
The CHAOS_PP_AUTO_WHILE_AUX
macro iterates a state with a user-specified operation while a user-specified predicate expands to 1
.
CHAOS_PP_AUTO_WHILE_AUX
(pred, op, data, ...)
The predicate that determines whether the loop should continue. This predicate must be either a λ expression or a macro name that refers to a macro with a signature compatible with the following pseudo-signature:
pred(s, data†, state‡)
† If the auxiliary data is parenthetic, the data pseudo-parameter must be the number of parameters that corresponds to the number of sub-elements in the auxiliary data. Otherwise, it must be a single parameter.
‡
The state pseudo-parameter must be either ...
or the number of parameters that corresponds to the number of arguments in the initial state, __VA_ARGS__
.
The operation used to iterate the state. This operation must be either a λ expression or a macro name that refers to a macro with a signature compatible with the following pseudo-signature:
op(s, data†, state‡)
† If the auxiliary data is parenthetic, the data pseudo-parameter must be the number of parameters that corresponds to the number of sub-elements in the auxiliary data. Otherwise, it must be a single parameter.
‡
The state pseudo-parameter must be either ...
or the number of parameters that corresponds to the number of arguments in the initial state, __VA_ARGS__
.
Auxiliary data to be passed through the algorithm to the predicate and the operation. This argument may be either a parenthetic expression of any arity or a non-parenthetic expression.
The initial state of the loop.
The CHAOS_PP_AUTO_WHILE_AUX
macro is a higher-order thunk that deduces the current higher-order entry point and invokes CHAOS_PP_WHILE_AUX
.
This macro may not be used if bypass semantics are in effect.
The CHAOS_PP_AUTO_WHILE_AUX_ID
macro indirectly expands to CHAOS_PP_AUTO_WHILE_AUX
.
CHAOS_PP_AUTO_WHILE_AUX_ID
()
This macro effectively allows CHAOS_PP_AUTO_WHILE_AUX
to be passed around without expansion.
The CHAOS_PP_AUTO_WHILE_AUX_
macro expands to a λ expression representing CHAOS_PP_AUTO_WHILE_AUX
.
CHAOS_PP_AUTO_WHILE_AUX_
This macro is a shorthand form of the following λ binding:


{% include 'accounts/_account-navigation.html' with current_page="manage-account" %}
{% trans "Account Information" %}
{% trans "Change Your Password" %}
{# Only show 2FA management panel for researchers #}
{% if request.user.is_researcher %}
{% trans "Manage Two-Factor Authentication" %}
{% if otp %}
{% comment %}
If we have OTP, enable setup completion in the case where it's not yet
activated, and allow reset with verified OTP if it is.
{% endcomment %}
{% else %} {# if we don't have OTP, link to 2FA setup directly. #}
{% trans "Set up Two-Factor Authentication" %}
{% endif %}


Demo Application — Blob Storage
Choose the file to store. Only images (JPG, GIF and PNG) and text files are allowed with default settings.


Package io.fluentlenium.core.inject
package io.fluentlenium.core.inject
-
ClassDescriptionContext for a containerContainer global FluentLenium control interface.Creates container instances.Context for a containerCreates container instancesSearch context backed by an ElementLocator.Control interface for FluentLenium injection.Exception thrown when a Page can't be initialized.Inspired by
Annotations
, but also supports annotations defined on return type class.The injection element locator, which will lazily locate an element or an element list on a page.ElementLocator
factory used byFluentInjector
.When this annotation is applied on a field FluentLenium injection is disabled for that.Mark a field whose class declaration is annotated with one of Selenium'sFind...
annotation, with this annotation to inject the parent container.


In my second term in school, we were again tasked with redesign another website. This time, we needed to redesign the a news-based website for all three platforms (desktop, tablet, phone). Being a hip-hop music fan, I decided that I would redesign the Hot 97 radio station website.
With one website redesign under my belt, this process was a lot smoother this time around. However, instead of redesigning the site in Adobe XD, we moved to two new programs, Sketch and Flinto.
The initial process of designing the site is what took the longest this time, as I sketched many different ideas and versions of what direction I might potentially take the design into.
After nailing down on a design, the rest of process was much smoother. Within several days, I already had a high-fidelity prototype of the home page and only had to tweak certain aspects from there on out.
The next challenge was creating the unique interactions for the three breakpoints of the site (desktop, tablet, phone). Our instructor challenged us to create five unique interactions per each breakpoint that had to be different from the each other.
Throughout the process of designing the site, I conducted heuristic reviews to ensure that the design decisions that I was making were the correct ones. I asked ten people to review the original Hot 97 site and my redesigned site and score each respectively. Through this process, I found that the feedback that I was receiving was very useful and it helped guide the rest of the design process.
After adjusting my designs based on feedback that was received from peer reviews, I was able to focus on refining my designs and animations.
Overall, my second term project was very much an extension of my first term. I learned how to adjust interfaces based on screen sizes and what does and doesn't work for certain sizes. I also learned about creating unique animations that enhance the experience of using a site. And finally, I learned how to conduct user-research in a way that directed impacts design decisions.


With optimism
and joy
and joy
Here at Blue Moon, we are eager to share our vision with your little one, a vision that
comes down to a simple question: What are we going to do today?
{% if title %}
{{ _('New User?') }} {{ _('Click to Register!') }} | {{ _('Forgot Your Password?') }} {{ _('Click to Reset It') }}


CoNLL-U sandbox
This file is intended as a “sandbox” for testing the CoNLL-U format support (see format).
                PUNCT . _ 2 punct _ _
space-in-field.conll
# not valid: no field can contain space.
1 not valid valid NOUN SP _ 0 ROOT _ _
token_with_cols_filled.conll
# (TODO: is this the same general case as mutiword-with-pos.conll?)


Best viewed in Google Chrome.
Please allow the page to use your mic for a super cool speech recognition.
Say "STOP" to stop the model from rotating.
Say "ROTATE" to make it rotate again.


Role: Bot Designer / PM
Team: Josip Kauzlaric, Joey Bonarigo, Alex Stewart, Mohona Sengupta
Objectives: Work alongside the Intelligent Automation team at PNC to map out the complex and manual ACH Mortgage Setup process and ACH Equity Setup process, and then design and develop a bot to fully automate both.
My summer at PNC was unlike any project I have done before. Our team of four interns was built specifically to take on our own project, rather than being placed in a team or with mentors who own the project themselves. Our team was split down the middle, with Joey and I handling the research documentation and design, while Alex and Josip took the lead on the development of the bot in a program called Automation Anywhere. My personal role on the team became a blend of Product Manager and Business Lead: I built our deliverable schedule, led weekly meetings with the Product Owner, and led the documentation creation and research.
Unfortunately I can't share specific details about the project as the ACH Set Up process at PNC is protected information. If you have any questions, please feel free to email me!


Exchange
Ticker
Price
load more...
This exchange does not support OHLC data.
An error occurred while fetching OHLC data.
Last
0
Past 1 minute market data
Open
0
High
0
Low
0
Close
0


From our inception, the jQuery Foundation has been about much more than just jQuery. We strive to provide a home for open source projects that are essential to, and support our vision of, making the web accessible to everyone. Check out what we provide for these projects and our philosophy around governance, budgets, trademarks and more. If you think your project fits into this group and want to talk about working with us, feel free to reach out any time.
jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.
jquery.comQUnit is a powerful, easy-to-use JavaScript unit testing framework. It's used by the jQuery, jQuery UI and jQuery Mobile projects and is capable of testing any generic JavaScript code, including itself!
qunitjs.comjQuery UI is a curated set of user interface interactions, effects, widgets, and themes built on top of the jQuery JavaScript Library. Whether you're building highly interactive web applications or you just need to add a date picker to a form control, jQuery UI is the perfect choice.
jqueryui.comA pure-JavaScript CSS selector engine designed to be easily dropped in to a host library.
sizzlejs.comA unified, HTML5-based user interface system for all popular mobile device platforms, built on the rock-solid jQuery and jQuery UI foundation. Its lightweight code is built with progressive enhancement, and has a flexible, easily themeable design.
jquerymobile.comA JavaScript library for internationalization and localization that leverages the official Unicode CLDR JSON data. The library works both for the browser and as a Node.js module.
Globalize on GitHubA jQuery plugin that adds cross-browser mouse wheel support with delta normalization.
jQuery Mouse Wheel on GitHubChassis is an attempt at creating open standards designed for CSS libraries, JavaScript UI libraries, and web developers in general. This project will define standards for markup and class names for common widgets and patterns, as well as an implementation of those standards.
Chassis on GitHubPointerEvents Polyfill: a unified event system for the web platform http://www.w3.org/TR/pointerevents/
PEP on GitHubEsprima is a high performance, standard-compliant ECMAScript parser written in ECMAScript (also popularly known as JavaScript).
esprima.org


Foundation SDK singleton class. More...
#include <PxFoundation.h>
Public Member Functions | |
| virtual void | release ()=0 |
| Destroys the instance it is called on. More... | |
| virtual PxErrorCallback & | getErrorCallback ()=0 |
| virtual void | setErrorLevel (PxErrorCode::Enum mask=PxErrorCode::eMASK_ALL)=0 |
| virtual PxErrorCode::Enum | getErrorLevel () const =0 |
| virtual PxAllocatorCallback & | getAllocatorCallback ()=0 |
| virtual bool | getReportAllocationNames () const =0 |
| virtual void | setReportAllocationNames (bool value)=0 |
Protected Member Functions | |
| virtual | ~PxFoundation () |
Foundation SDK singleton class.
You need to have an instance of this class to instance the higher level SDKs.
|
inlineprotectedvirtual |
|
pure virtual |
Retrieves the allocator this object was created with.
|
pure virtual |
retrieves error callback
|
pure virtual |
Retrieves mask of errors to be reported.
|
pure virtual |
Retrieves if allocation names are being passed to allocator callback.
|
pure virtual |
Destroys the instance it is called on.
The operation will fail, if there are still modules referencing the foundation object. Release all dependent modules prior to calling this method.
|
pure virtual |
Sets mask of errors to report.
|
pure virtual |
Set if allocation names are being passed to allocator callback.
Enabled by default in debug and checked build, disabled by default in profile and release build.


I’m a marketing communications specialist with 10 years of experience. I've worked in tourism, architecture and public services. I've helped clients in various other industries to build their brand, connect with their audience and stand out from the crowd.
I'm a firm believer that what drives good marketing is storytelling. Every single piece of communications material needs to be true to your brand's DNA: why it exists and what it stands for. This is your story. And my job is to tell it.
Whether you already know the story you want to tell or need help to figure it out clear as day, I'm here for you!
Tell me moreBuild awesome web pages,
fix annoying bugs,
curate exciting content…
CMS: WordPress, Joomla!, Drupal…
Striking advertisements,
awe-inspiring brochures,
unique logos…
Adobe Photoshop, Illustrator, InDesign
Business literature:
blog articles, manuals…
Web edition, copywriting:
texts for SEO
Generate ideas, source data
French and English
Accuracy of grammar, syntax, punctuation and spelling
Consistency in content and style
Ready to start your next project?
Give me a call or send me an email and we'll get started on telling your story!


--- layout: default title: "Live Concert" description: "Join the Foothills Philharmonic Society for a live streaming concert online!" ---
Our concert will be broadcast live, right here, on Wednesday, March 16th at 7pm.
Join musicians from the Foothills Philharmonic Orchestra in a beautiful musical evening including works from Vivaldi, Mozart, Weber, Goltermann & Bartok.


ScreenTransitionDiagram
ScreenTransitionDiagram
Screen Name
Screen Explanation
ScreenName
Screen Explanation


All of our listings are submitted by studens like you, and are verified by our team of experts, so you can always be sure that any deals you make with us will follow through!
Featuring a wide variety of places to choose from; many sizes, many prices!
Search by nearby shops and restaurants, and you can make sure you always have somewhere to be!
"This is fantastic! Thanks so much guys!"
"My name jeff"
"Thanks so much for making the process clean and painless!"


Thanks for getting in touch! We'll respond to your questions as soon as possible.
{% endif %}
We're planning to launch this product soon. In the meantime, please enter your name and email address, and any questions you may have, and we'll get back to you!