Introduction
This guide provides an introduction to the quickstarts that are distributed with the Overlord Runtime Governance project.
Policy Enforcement
This example, located in the samples/policy
folder, demonstrates two approaches that can be used to provide "policy enforcement". This example makes uses of the example Switchyard application located in the samples/ordermgmt
folder.
Synchronous Enforcement
The first approach shows how a business policy can be implemented in a synchronous (or inline) manner, where the decision is taken immediate, and can therefore be used to influence the current business transaction. The benefit of this approach is that it can ensure only valid transactions are permitted, as decisions can be immediately enforced, however the disadvantage is the potential performance impact this may have on the business transaction.
This example will show how:
-
activity event analysis, using the Activity Validator mechanism, to implement the business policy
The Policy
The runtime governance infrastructure analyses the activity events generated by an executing business transaction using one or more Activity Validators. By default, Activity Validators are not invoked from within the SwitchYard environment. The specific SwitchYard applications need to be configured to include an auditor that will invoke the validation. In the Order Management quickstart, this is achieved using the class org.overlord.rtgov.quickstarts.demos.orders.auditors.ExchangeValidator
. This class is derived from an abstract base class that provides most of the required functionality for converting an Exchange message into an activity event. For example,
@Audit({Processors.TRANSFORMATION})
@Named("ExchangeValidator")
public class ExchangeValidator extends AbstractExchangeValidator implements Auditor {
/**
* {@inheritDoc}
*/
public void afterCall(Processors processor, org.apache.camel.Exchange exch) {
ExchangePhase phase=exch.getProperty("org.switchyard.bus.camel.phase", ExchangePhase.class);
if (phase == ExchangePhase.OUT) {
handleExchange(exch, phase);
}
}
/**
* {@inheritDoc}
*/
public void beforeCall(Processors processor, org.apache.camel.Exchange exch) {
ExchangePhase phase=exch.getProperty("org.switchyard.bus.camel.phase", ExchangePhase.class);
if (phase == ExchangePhase.IN) {
handleExchange(exch, phase);
}
}
}
The following Activity Validator configuration is deployed in the environment responsible for executing the business transaction, and gets registered with the Activity Collector mechanism:
[{
"name" : "RestrictUsage",
"version" : "1",
"predicate" : {
"@class" : "org.overlord.rtgov.ep.mvel.MVELPredicate",
"expression" : "event instanceof org.overlord.rtgov.activity.model.soa.RequestReceived && event.serviceType == \"{urn:switchyard-quickstart-demo:orders:0.1.0}OrderService\""
},
"eventProcessor" : {
"@class" : "org.overlord.rtgov.ep.mvel.MVELEventProcessor",
"script" : "VerifyLastUsage.mvel",
"services" : {
"CacheManager" : {
"@class" : "org.overlord.rtgov.common.infinispan.service.InfinispanCacheManager"
}
}
}
}]
This Activity Validator receives activity events generated from the executing environment and applies the optional predicate to determine if they are of interest to the defined event processor. In this case, the predicate is checking for received requests for the OrderService
service.
For events that pass this predicate, they are submitted to the business policy, defined using the MVEL script VerifyLastUsage.mvel
, which is:
String customer=event.properties.get("customer");
if (customer == null) {
return;
}
cm = epc.getService("CacheManager");
// Attempt to lock the entry
if (!cm.lock("Principals", customer)) {
epc.handle(new java.lang.RuntimeException("Unable to lock entry for principal '"+customer+"'"));
return;
}
// Access the cache of principals
principals = cm.getCache("Principals");
principal = principals.get(customer);
if (principal == null) {
principal = new java.util.HashMap();
}
java.util.Date current=principal.get(event.serviceType+"-lastaccess");
java.util.Date now=new java.util.Date();
if (current != null && (now.getTime()-current.getTime()) < 2000) {
epc.handle(new java.lang.RuntimeException("Customer '"+customer+"' cannot perform more than one request every 2 seconds"));
return;
}
principal.put(event.serviceType+"-lastaccess", now);
principals.put(customer, principal);
epc.logDebug("Updated principal '"+customer+"': "+principals.get(customer));
This script uses the CacheManager service, configured within the EventProcessor component, to obtain a cache called "Principals". This cache is used to store information about Principals as a map of properties. The implementation uses Infinispan, to enable the cache to be shared between other applications, as well as in a distributed/cluster environment (based on the infinispan configuration).
If a policy violation is detected, the script returns an exception using the handle() method on the EventProcessor context. This results in the exception being thrown back to the execution environment, interrupting the execution of the business transaction.
Installation
To install the example, the first step is to start the Switchyard server using the following command from the bin
folder:
./standalone.sh -c standalone-full.xml
The next step is to install the example Switchyard application, achieved by running the following command from the ${rtgov}/samples/ordermgmt
folder:
mvn jboss-as:deploy
Then change to the ${rtgov}/samples/policy/sync
folder and run the same command again.
Running the Example
To demonstrate the synchronous policy, we will send the following message twice in less than 2 seconds, to the example Switchyard application at the following URL: http://localhost:8080/demo-orders/OrderService
<?xml version="1.0" encoding="UTF-8"?>
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<orders:submitOrder xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<order>
<orderId>1</orderId>
<itemId>BUTTER</itemId>
<quantity>100</quantity>
<customer>Fred</customer>
</order>
</orders:submitOrder>
</soap:Body>
</soap:Envelope>
The messages can be sent using an appropriate SOAP client (e.g. SOAP-UI) or by running the test client available with the Switchyard application, by running the following command from the ${rtgov}/samples/ordermgmt/app
folder:
mvn exec:java -Dreq=order1 -Dcount=2
If the two requests are received within two seconds of each other, this will result in the following response:
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<soap:Fault>
<faultcode>soap:Server</faultcode>
<faultstring>org.switchyard.exception.SwitchYardException: Customer 'Fred' cannot perform more than one request every 2 seconds</faultstring>
</soap:Fault>
</soap:Body>
</soap:Envelope>
Summary
This quickstart example demonstrates how a policy enforcement mechanism can be provided using the Activity Validator mechanism, to immediately evaluate the business policy and (if appropriate) block the business transaction.
Asynchronous Enforcement
The second approach shows how a business policy can be implemented in an asynchronous (or out-of-band) manner, where the decision is taken after the fact, and can therefore only be used to influence future business transactions. The benefit of this approach is that the decision making process does not have to occur immediately and therefore avoids potentially impacting the performance of the business transaction. The disadvantage is that it does not permit any decision that is made to be enforced immediately.
This example will show how:
-
activity event analysis, using the Event Processor Network mechanism, can be used to implement business policies
-
results from the business policies can be cached for reference by other applications
-
platform specific interceptors can reference the results to impact the behavior of the business transaction (e.g. prevent suspended customers purchasing further items)
The Policy
There are three components that comprise the policy within this example.
Event analysis
The runtime governance infrastructure analyses the activity events generated by an executing business transaction using one or more Event Processor Networks (or EPN).
A standard EPN is deployed within the infrastructure to isolate the SOA events (e.g. request/responses being sent or received). This quickstart deploys another EPN that subscribes to the events produced by the standard EPN:
{
"name" : "AssessCreditPolicyEPN",
"version" : "1",
"subscriptions" : [ {
"nodeName" : "AssessCredit",
"subject" : "SOAEvents"
} ],
"nodes" : [
{
"name" : "AssessCredit",
"sourceNodes" : [ ],
"destinationSubjects" : [ ],
"maxRetries" : 3,
"retryInterval" : 0,
"predicate" : {
"@class" : "org.overlord.rtgov.ep.mvel.MVELPredicate",
"expression" : "event.serviceProvider && !event.request && event.serviceType == \"{urn:switchyard-quickstart-demo:orders:0.1.0}OrderService\""
},
"eventProcessor" : {
"@class" : "org.overlord.rtgov.ep.mvel.MVELEventProcessor",
"script" : "AssessCredit.mvel",
"services" : {
"CacheManager" : {
"@class" : "org.overlord.rtgov.common.infinispan.service.InfinispanCacheManager"
}
}
}
}
]
}
This EPN subscribes to the published SOA events and applies the predicate which ensures that only events from a service provider interface, that are responses and are associated with the OrderService
service, will be processed. Events that pass this predicate are then submitted to the business policy (defined in the MVEL script AssessCredit.mvel), which is:
String customer=event.properties.get("customer");
if (customer == null) {
return;
}
cm = epc.getService("CacheManager");
// Attempt to lock the entry
if (!cm.lock("Principals", customer)) {
epc.handle(new Exception("Unable to lock entry for principal '"+customer+"'"));
return;
}
// Access the cache of principals
principals = cm.getCache("Principals");
principal = principals.get(customer);
if (principal == null) {
principal = new java.util.HashMap();
}
int current=principal.get("exposure");
if (current == null) {
current = 0;
}
if (event.operation == "submitOrder") {
double total=event.properties.get("total");
int newtotal=current+total;
if (newtotal > 150 && current <= 150) {
principal.put("suspended", Boolean.TRUE);
}
principal.put("exposure", newtotal);
} else if (event.operation == "makePayment") {
double amount=event.properties.get("amount");
int newamount=current-amount;
if (newamount <= 150 && current > 150) {
principal.put("suspended", Boolean.FALSE);
}
principal.put("exposure", newamount);
}
principals.put(customer, principal);
epc.logDebug("Updated principal '"+customer+"': "+principals.get(customer));
This script uses the CacheManager service, configured within the EPN node, to obtain a cache called "Principals". This cache is used to store information about Principals as a map of properties. The implementation uses Infinispan, to enable the cache to be shared between other applications, as well as in a distributed/cluster environment (based on the infinispan configuration).
Result management
As mentioned in the previous section, the results derived from the previous policy are stored in an Infinispan implemented cache called "Principals". To make this information available to runtime governance clients, we use the Active Collection mechanism - more specifically we define an Active Collection, as part of the standard installation, that wraps the Infinispan cache.
The configuration of the Active Collection Source is:
[
{
......
},{
"@class" : "org.overlord.rtgov.active.collection.ActiveCollectionSource",
"name" : "Principals",
"type" : "Map",
"lazy" : true,
"visibility" : "Private",
"factory" : {
"@class" : "org.overlord.rtgov.active.collection.infinispan.InfinispanActiveCollectionFactory",
"cache" : "Principals"
}
}
]
The visibility is marked as private to ensure that exposure information regarding customers is not publicly available via the Active Collection REST API.
The enforcer
The enforcement is provided by a specific Switchyard Auditor implementation (PolicyEnforcer) that is included with the order management application. The main part of this auditor is:
public void beforeCall(Processors processor, org.apache.camel.Exchange exch) {
....
if (_principals != null) {
org.switchyard.bus.camel.CamelMessage mesg=(org.switchyard.bus.camel.CamelMessage)exch.getIn();
if (mesg == null) {
LOG.severe("Could not obtain message for phase ("+phase+") and exchange: "+exch);
return;
}
org.switchyard.Context context=new org.switchyard.bus.camel.CamelCompositeContext(exch, mesg);
java.util.Set<Property> contextProps=context.getProperties(
org.switchyard.Scope.MESSAGE);
Property p=null;
for (Property prop : contextProps) {
if (prop.getName().equals("org.switchyard.contentType")) {
p = prop;
break;
}
}
if (p != null && p.getValue().toString().equals(
"{urn:switchyard-quickstart-demo:orders:1.0}submitOrder")) {
String customer=getCustomer(mesg);
if (customer != null) {
if (_principals.containsKey(customer)) {
@SuppressWarnings("unchecked")
java.util.Map<String,java.io.Serializable> props=
(java.util.Map<String,java.io.Serializable>)
_principals.get(customer);
// Check if customer is suspended
if (props.containsKey("suspended")
&& props.get("suspended").equals(Boolean.TRUE)) {
throw new RuntimeException("Customer '"+customer
+"' has been suspended");
}
}
if (LOG.isLoggable(Level.FINE)) {
LOG.fine("*********** Policy Enforcer: customer '"
+customer+"' has not been suspended");
LOG.fine("*********** Principal: "+_principals.get(customer));
}
} else {
LOG.warning("Unable to find customer name");
}
}
}
The variable _principals refers to an Active Map used to maintain information about the principal (i.e. the customer in this case). This information is updated using the policy rule defined in the previous section.
Installation
To install the example, the first step is to start the Switchyard server using the following command from the bin
folder:
./standalone.sh -c standalone-full.xml
The next step is to install the example Switchyard application, achieved by running the following command from the ${rtgov}/samples/ordermgmt
folder:
mvn jboss-as:deploy
Then change to the ${rtgov}/samples/policy/async
folder and run the same command again.
Running the Example
To demonstrate the asynchronous policy enforcement, we will send the following message to the example Switchyard application at the following URL: http://localhost:8080/demo-orders/OrderService
<?xml version="1.0" encoding="UTF-8"?>
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<orders:submitOrder xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<order>
<orderId>1</orderId>
<itemId>BUTTER</itemId>
<quantity>100</quantity>
<customer>Fred</customer>
</order>
</orders:submitOrder>
</soap:Body>
</soap:Envelope>
The message can be sent using an appropriate SOAP client (e.g. SOAP-UI) or by running the test client available with the Switchyard application, by running the following command from the ${rtgov}/samples/ordermgmt/app
folder:
mvn exec:java -Dreq=order1
This will result in the following response, indicating that the purchase was successful, as well as identifying the total cost of the purchase (i.e. 125).
<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/">
<SOAP-ENV:Header/>
<SOAP-ENV:Body>
<orders:submitOrderResponse xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<orderAck>
<orderId>1</orderId>
<accepted>true</accepted>
<status>Order Accepted</status>
<customer>Fred</customer>
<total>125.0</total>
</orderAck>
</orders:submitOrderResponse>
</SOAP-ENV:Body>
</SOAP-ENV:Envelope>
You may recall from the overview above that if the customer’s debt exceeds the threshold of 150 then the customer would be suspended. Therefore if the same request is issued again, resulting in another total of 125, then the overall exposure regarding this customer is now 250.
If we then attempt to issue the same request a third time, this time we will receive a SOAP fault from the server. This is due to the fact that the PolicyEnforcer auditor has intercepted the request, and detected that the customer is now suspended.
<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/">
<SOAP-ENV:Header/>
<SOAP-ENV:Body>
<SOAP-ENV:Fault>
<faultcode>SOAP-ENV:Server</faultcode>
<faultstring>Customer 'Fred' has been suspended</faultstring>
</SOAP-ENV:Fault>
</SOAP-ENV:Body>
</SOAP-ENV:Envelope>
If we now send a "makePayment" request as follows to the same URL:
<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:urn="urn:switchyard-quickstart-demo:orders:1.0">
<soapenv:Header/>
<soapenv:Body>
<urn:makePayment>
<payment>
<customer>Fred</customer>
<amount>200</amount>
</payment>
</urn:makePayment>
</soapenv:Body>
</soapenv:Envelope>
This can be sent using a suitable SOAP client (e.g. SOAP-UI) or the test client in the order management app:
mvn exec:java -Dreq=fredpay
This will result in the customer being unsuspended, as it removes 200 from their current exposure (leaving 50). To confirm this, try sending the "submitOrder" request again.
Summary
This quickstart example demonstrates how a policy enforcement mechanism can be provided using a combination of the Runtime Governance infrastructure and platform specific interceptors.
This particular example uses an asynchronous approach to evaluate the business policies, only enforcing the policy based on a summary result from the decision making process. The benefit of this approach is that it can be more efficient, and reduce the performance impact on the business transaction being policed. The disadvantage is that decisions are made after the fact, so leaves a tiny window of opportunity for invalid transactions to be performed.
SLA
Monitor
This example, located in the samples/sla/monitor
folder, demonstrates an approach to provide "Service Level Agreement" monitoring. This example makes uses of the example Switchyard application located in the samples/ordermgmt
folder.
Overview
This example will show how:
-
activity event analysis, using the Event Processor Network mechanism, can be used to implement Service Level Agreements
-
uses the Complex Event Processing (CEP) based event processor (using Drools Fusion)
-
-
impending or actual SLA violations can be reported for the attention of end users, via
-
JMX notifications
-
REST service
-
-
to build a custom application to access the analysis results
This example shows a simple Service Level Agreement that checks whether a service response time exceeds expected levels. The CEP rule detects whether a situation of interest has occurred, and if so, creates a org.overlord.rtgov.analytics.situation.Situation
object and initializes it with the appropriate description/severity information, before forwarding it back into the EPN. This results in the "Situation" object being published as a notification on the "Situations" subject.
The CEP rule is:
import org.overlord.rtgov.analytics.service.ResponseTime
import org.overlord.rtgov.analytics.situation.Situation
global org.overlord.rtgov.ep.EPContext epc
declare ResponseTime
@role( event )
end
rule "check for SLA violations"
when
$rt : ResponseTime() from entry-point "ServiceResponseTimes"
then
if ($rt.getAverage() > 200) {
epc.logError("\r\n\r\n**** RESPONSE TIME "+$rt.getAverage()+"ms EXCEEDED SLA FOR "+$rt.getServiceType()+" ****\r\n");
Situation situation=new Situation();
situation.setType("SLA Violation");
situation.setSubject(Situation.createSubject($rt.getServiceType(), $rt.getOperation(),
$rt.getFault()));
situation.setTimestamp(System.currentTimeMillis());
situation.getProperties().putAll($rt.getProperties());
if ($rt.getRequestId() != null) {
situation.getActivityTypeIds().add($rt.getRequestId());
}
if ($rt.getResponseId() != null) {
situation.getActivityTypeIds().add($rt.getResponseId());
}
situation.getContext().addAll($rt.getContext());
String serviceName=$rt.getServiceType();
if (serviceName.startsWith("{")) {
serviceName = javax.xml.namespace.QName.valueOf(serviceName).getLocalPart();
}
if ($rt.getAverage() > 400) {
situation.setDescription(serviceName+" exceeded maximum response time of 400 ms");
situation.setSeverity(Situation.Severity.Critical);
} else if ($rt.getAverage() > 320) {
situation.setDescription(serviceName+" exceeded response time of 320 ms");
situation.setSeverity(Situation.Severity.High);
} else if ($rt.getAverage() > 260) {
situation.setDescription(serviceName+" exceeded response time of 260 ms");
situation.setSeverity(Situation.Severity.Medium);
} else {
situation.setDescription(serviceName+" exceeded response time of 200 ms");
situation.setSeverity(Situation.Severity.Low);
}
epc.handle(situation);
}
end
The "out of the box" active collection configuration is pre-initialized with a collection for the org.overlord.rtgov.analytics.situation.Situation
objects, subscribing to the "Situations" subject from the Event Processor Network. Therefore any detected SLA violations will automatically be stored in this collection (accessible via a RESTful service), and reported to the associated JMX notifier.
Installation
To install the example, the first step is to start the Switchyard server using the following command from the bin
folder:
./standalone.sh -c standalone-full.xml
The next step is to install the example Switchyard application, achieved by running the following command from the ${rtgov}/samples/ordermgmt
folder:
mvn jboss-as:deploy
Then run the same command from the ${rtgov}/samples/sla/epn
and ${rtgov}/samples/sla/monitor
folders.
Running the Example
To demonstrate a Service Level Agreement violation, we will send the following message to the example Switchyard application at the following URL: http://localhost:8080/demo-orders/OrderService
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<orders:submitOrder xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<order>
<orderId>3</orderId>
<itemId>JAM</itemId>
<quantity>400</quantity>
<customer>Fred</customer>
</order>
</orders:submitOrder>
</soap:Body>
</soap:Envelope>
The message can be sent using an appropriate SOAP client (e.g. SOAP-UI) or by running the test client available with the Switchyard application, by running the following command from the ${rtgov}/samples/ordermgmt/app
folder:
mvn exec:java -Dreq=order3
The itemId of "JAM" causes a delay to be introduced in the service, resulting in a SLA violation being detected. This violation can be viewed using two approaches:
REST Service
Using a suitable REST client, send the following POST to: http://localhost:8080/overlord-rtgov/acm/query (using content-type of "application/json", username is admin and password is overlord)
{
"collection" : "Situations"
}
This will result in the following response:
JMX Console
The Situations active collection source also generates JMX notifications that can be subscribed to using a suitable JMX management application. For example, using JConsole we can view the SLA violation:
Accessing results within a custom application
As well as having access to the information via REST or JMX, it may also be desirable to have more direct access to the active collection results. This section describes the custom app defined in the ${rtgov}/samples/sla/monitor
folder.
The following code shows how the custom application initializes access to the relevant active collections:
@Path("/monitor")
@ApplicationScoped
public class SLAMonitor {
private static final String SERVICE_RESPONSE_TIMES = "ServiceResponseTimes";
private static final String SITUATIONS = "Situations";
private static final Logger LOG=Logger.getLogger(SLAMonitor.class.getName());
private ActiveCollectionManager _acmManager=null;
private ActiveList _serviceResponseTime=null;
private ActiveList _situations=null;
/**
* This is the default constructor.
*/
public SLAMonitor() {
try {
_acmManager = ActiveCollectionManagerAccessor.getActiveCollectionManager();
_serviceResponseTime = (ActiveList)
_acmManager.getActiveCollection(SERVICE_RESPONSE_TIMES);
_situations = (ActiveList)
_acmManager.getActiveCollection(SITUATIONS);
} catch (Exception e) {
LOG.log(Level.SEVERE, "Failed to initialize active collection manager", e);
}
}
Then when the REST request is received (e.g. for SLA violations defined as Situations),
@GET
@Path("/situations")
@Produces("application/json")
public java.util.List<Situation> getSituations() {
java.util.List<Situation> ret=new java.util.ArrayList<Situation>();
for (Object obj : _situations) {
if (obj instanceof Situation) {
ret.add((Situation)obj);
}
}
return (ret);
}
To see the SLA violations, send a REST GET request to: http://localhost:8080/slamonitor-monitor/monitor/situations
This will return the following information:
It is also possible to request the list of response time information from the same custom service, using the URL: http://localhost:8080/slamonitor-monitor/monitor/responseTimes?operation=submitOrder
|
Caution
|
If no query parameter is provided, then response times for all operations will be returned. |
Summary
This quickstart demonstrates how Service Level Agreements can be policed using rules defined in an Event Processor Network, and reporting to end users using the pre-configured "Situations" active collection.
The rule used in this example is simple, detecting whether the response time associated with an operation on a service exceeds a particular level. However more complex temporal rules could be defined to identify the latency between any two points in a business transaction flow.
Report
This example, located in the samples/sla/report
folder, demonstrates how to provide pluggable reports that can access information in the activity store. This particular example uses the activity information to compile a Service Level Agreement report, highlighting violations above a specified response time.
Overview
This example will show how:
-
to configure a pluggable report
-
to generate the report via a REST API
This example provides a simple Service Level Agreement report, based on identifying service invocations that exceed a specified maximum response time over an optionally specified averaged duration. If the averaged duration is not specified, then each service invocation will be checked to determine if it exceeded the maximum response time - and if so, get added to the report. If the averaged duration is specified, then when an invocation is detected (that exceeds the max response time), then all other suitable invocations within the specified duration are averaged to determine if the response time overall still exceeds the specified maximum. This is to ensure that periodic spikes are not unnecessarily reported.
It is also possible to optionally specify a business calendar, which can be used to determine the business period in which activities are of interest. If SLA violations occur outside the specified business calendar, then they are not relevant.
The report definition is:
[
{
"name" : "SLAReport",
"generator" : {
"@class" : "org.overlord.rtgov.reports.MVELReportGenerator",
"scriptLocation" : "SLAReport.mvel"
}
}
]
with the MVEL based report generator script:
/**
* SLA Report
*
* Properties:
* serviceType (string) - the service type
* operation (string) - the optional operation name, if not specified then checks all ops on service
* principal (string) - the optional principal
* start (long) - the start date/time
* end (long) - the end date/time
* maxResponseTime (long) - the maximum response time before SLA violated
* averagedDuration (long) - optional duration over which response times should be averaged
* calendar (string) - the optional calendar name
* timezone (string) - the optional timezone
*/
import org.overlord.rtgov.reports.model.Report;
import org.overlord.rtgov.reports.model.Tabular;
import org.overlord.rtgov.reports.model.Tabular.Header;
import org.overlord.rtgov.reports.model.Tabular.Row;
import org.overlord.rtgov.reports.model.Tabular.Summary;
import org.overlord.rtgov.activity.server.ActivityStore;
import org.overlord.rtgov.activity.server.QuerySpec;
import org.overlord.rtgov.activity.model.ActivityType;
import org.overlord.rtgov.activity.model.soa.RequestReceived;
import org.overlord.rtgov.activity.model.soa.ResponseSent;
// FUNCTION DEFINITIONS
def calcResponseTime(request, pos, activities) {
ResponseSent response=null;
// Find accompanying response
for (int j=pos+1; response == null && j < activities.size(); j++) {
if (activities.get(j) instanceof ResponseSent &&
activities.get(j).getReplyToId() != null &&
activities.get(j).getReplyToId().equals(request.getMessageId())) {
response = activities.get(j);
}
}
context.logDebug("Checking response time for req="+request+" resp="+response);
if (response != null) {
context.logDebug("Reponse time="+(response.timestamp-request.timestamp));
return (response.timestamp - request.timestamp);
}
return 0;
}
// MAIN SCRIPT
// Get the relevant properties
start = properties.get("start");
end = properties.get("end");
long maxResponseTime = Long.parseLong(properties.get("maxResponseTime"));
long averagedDuration = properties.containsKey("averagedDuration") ? Long.parseLong(properties.get("averagedDuration")) : 0;
// Create date formatter based on optionally specified timezone
java.text.DateFormat formatter=java.text.DateFormat.getDateTimeInstance(java.text.DateFormat.MEDIUM, java.text.DateFormat.FULL);
java.util.TimeZone tz=null;
if (properties.containsKey("timezone")) {
tz = java.util.TimeZone.getTimeZone(properties.get("timezone"));
}
if (tz == null) {
tz = java.util.TimeZone.getDefault();
}
formatter.setTimeZone(tz);
// Obtain the activity store
activityStore = context.getService(ActivityStore);
if (activityStore == null) {
context.logError("Failed to obtain activity store");
return;
}
// Obtain the calendar
calendar = context.getCalendar(properties.get("calendar"), properties.get("timezone"));
// Query activity store for events related to service, optional operation, date/time range and optional principal
QuerySpec qs=new QuerySpec();
qs.setExpression("SELECT at FROM ActivityType at WHERE at.timestamp >= "+start+" AND at.timestamp <= "+end+" ORDER BY at.timestamp");
activities=activityStore.query(qs);
// Initialize the report
report = new Report().setTitle("SLA Report")
.setCreated(formatter.format(new java.util.Date(System.currentTimeMillis())));
section = new Tabular();
report.sections.add(section);
section.header = new Header();
section.header.columnNames.add("Date/Time");
section.header.columnNames.add("Response Time(ms)");
// Generate the report contents
long ignoreUntil=0;
long totalViolation=0;
for (int i=0; i < activities.size(); i++) {
activity = activities.get(i);
// Check if we should ignore this activity, due to being part of
// a previously identified time window where a SLA violation occurred
if (activity.timestamp >= ignoreUntil) {
if (activity instanceof RequestReceived) {
// Check if invocation is within working hours
if (calendar == null || calendar.isWorkingDateTime(activity.timestamp)) {
long respTime=calcResponseTime(activity, i, activities);
// Check if response time violates the SLA
if (respTime > maxResponseTime) {
context.logInfo("Potential SLA violation detected, response time="+respTime);
count = 1;
if (averagedDuration > 0) {
for (int k=i+1; k < activities.size(); k++) {
// Check if activity is within the 'averaged duration' timeframe
if (activities.get(k).timestamp <= (activity.timestamp+averagedDuration)) {
if (activities.get(k) instanceof RequestReceived) {
long subRespTime=calcResponseTime(activities.get(k), k, activities);
if (subRespTime > 0) {
respTime += subRespTime;
count++;
}
}
} else {
// Skip to the end
k = activities.size();
}
}
// Average the response time over the duration
respTime /= count;
}
// Check if violation should be reported
if (respTime > maxResponseTime) {
context.logWarning("SLA violation detected, response time="+respTime);
row = new Row();
row.values.add(formatter.format(new java.util.Date(activity.timestamp)));
row.values.add(respTime);
section.rows.add(row);
if (averagedDuration > 0) {
// Don't check any interactions that occur within the
// duration already flagged as a SLA violation
ignoreUntil = activity.timestamp + averagedDuration;
totalViolation += averagedDuration;
}
}
}
}
}
}
}
// Produce summary
if (totalViolation > 0) {
section.summary = new Summary();
section.summary.values.add("Total time (ms)");
section.summary.values.add(totalViolation);
if (calendar != null) {
totalWorking = calendar.getWorkingDuration(start, end);
if (totalWorking > 0) {
section.summary.properties.put("ViolationPercentage",
Math.round((totalViolation*10000.0)/totalWorking)/100.0);
}
}
}
return report;
|
Note
|
Currently the report parameters serviceType, operation and principal are not used. |
Installation
To install the example, the first step is to start the Switchyard server using the following command from the bin
folder:
./standalone.sh -c standalone-full.xml
Then run the same command from the ${rtgov}/samples/sla/report
folder.
Running the Example
To demonstrate a Service Level Agreement report, we will need to create some relevant activities that can be reported upon. Send multiple instances of the following messages to the example Switchyard application at the following URL: http://localhost:8080/demo-orders/OrderService
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<orders:submitOrder xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<order>
<orderId>1</orderId>
<itemId>BUTTER</itemId>
<quantity>100</quantity>
<customer>Fred</customer>
</order>
</orders:submitOrder>
</soap:Body>
</soap:Envelope>
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<orders:submitOrder xmlns:orders="urn:switchyard-quickstart-demo:orders:1.0">
<order>
<orderId>3</orderId>
<itemId>JAM</itemId>
<quantity>100</quantity>
<customer>Fred</customer>
</order>
</orders:submitOrder>
</soap:Body>
</soap:Envelope>
|
Note
|
Send quite a few of the second message, as this is the one that will result in SLA violations. |
The message can be sent using an appropriate SOAP client (e.g. SOAP-UI) or by running the test client available with the Switchyard application, by running the following commands from the ${rtgov}/samples/ordermgmt/app
folder:
mvn exec:java -Dreq=order1
mvn exec:java -Dreq=order3
To generate a report, we will send a GET request to the following URL:
http://localhost:8080/overlord-rtgov/report/generate?report=SLAReport&startDay=1&startMonth=1&startYear=2013&endDay=31&endMonth=12&endYear=2013&maxResponseTime=400&averagedDuration=450
(using the Basic Authentication username admin and password overlord).
This will return a report (with name SLAReport) containing violations that occur within the year 2013. If you wish to experiment with the default business calendar, then append "&calendar=Default" to the end of the URL. This will also identify what percentage of the business working period has been impacted by the SLA violations.
Summary
This quickstart demonstrates how report definitions can be deployed to the Runtime Governance infrastructure and invoked to generate a report instance via a REST service.


Before Change
assert len(grid.shape) == 2, "Grid is not 2D"
assert len(feature_ids) == grid.shape[0], "There should be as many rows in " \
"grid as there are features."
assert grid_resolution == grid.shape[1], "There should be as many columns in " \
"grid as grid_resolution."
@staticmethod
def _check_dataset(dataset):
assert isinstance(dataset, pd.DataFrame)
After Change
@staticmethod
def _check_grid(grid, feature_ids, grid_resolution):
if not isinstance(grid, np.ndarray):
err_msg = "Grid of type {} must be a numpy array".format(type(grid))
raise exceptions.MalformedGridError(err_msg)
if len(grid.shape) != 2:
err_msg = "Grid of shape {} not 2D".format(grid.shape)
raise exceptions.MalformedGridError(grid)
if len(feature_ids) != grid.shape[0]:
err_msg = "Given {0} features, there must be {1} rows in grid" \
"but {2} were found".format(len(feature_ids),
len(feature_ids),


Game developer with over 1 year of experience, graduated in game design and development specialized as programmer in Unity and Unreal Engine. I am seeking a new and satisfying work environment where past skills can be used to create future games. I have used a range of programming languages, game engines, operating systems and development tools all these years thank to my degree and I have been learning through online courses as well. I have worked at multiple levels throughout the development of several mobile games including testing phase and publishing, that it helped me to learn to work as team to achieve deadlines and to work under pressure. I am eager to develop new games and applications across all platforms.
Portfolio will be soon. Examples with photos and videos.
AVG: 7.98
All the knowledge necessary to implement, exploit and maintain at low or medium level the computer systems which are used on the management and administration of companies, providing direct support.
 I specially like football and tennis. I enjoy mountain and road biking and running as well.
I spend a large amount of my free time exploring the latest technology advancements in the game development world, reading books or playing games to learn and enjoy at the same time.
My present career aim is to get the greatest experience and potential possible as a game developer and programmer because I would like to create my own games since I love the games since I was a kid.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close Project


- Game - Class in <Unnamed>
-
This is a simple River Plank Puzzle Game implemented with Swing components.
- Game() - Constructor for class Game
-
- gamePanel - Variable in class Board
-
- getGamePanel() - Method in class Board
-
Returns the Panel which will contain the game and sets up a Grid Layout.
- getMainPanel() - Method in class Board
-
Returns the Main Panel for the game, and sets up a layout which will display the plankHold
at the top and the game itself in the bottom/centre.
- getPlankPanel() - Method in class Board
-
Returns the Panel which will display the plankHold variable and tell the player
how many planks they currently hold.
- getWindow() - Method in class Board
-
Returns the Frame in which the game will run.


Box Office Records > Domestic > All Movies > Cumulative > All Time Domestic
All Time Domestic Box Office (Rank 3,401-3,500)
See also: All Time Domestic Limited Release - All Time International - All Time Worldwide - All Time Domestic (Inf. Adj.) - Top 2016 Domestic - Top 2017 Domestic
This chart contains the top 100 movies based on the cumulative domestic box office.
Please see our All-Time Top Grossing Films Comparison for a comparison of the daily performance of all films released since 1980 that have earned more than $450 million at the domestic box office.
| Rank | Released | Movie | Domestic Box Office |
International Box Office |
Worldwide Box Office |
|---|---|---|---|---|---|
| 3,401 | 1987 | Innerspace | $19,816,619 | $0 | $19,816,619 |
| 3,402 | 2008 | The Spirit | $19,806,188 | $19,200,000 | $39,006,188 |
| 3,403 | 1980 | Cruising | $19,784,223 | $0 | $19,784,223 |
| 3,404 | 2004 | Yu-Gi-Oh | $19,762,690 | $9,000,000 | $28,762,690 |
| 3,405 | 1994 | Color of Night | $19,750,470 | $0 | $19,750,470 |
| 3,406 | 1997 | Gone Fishin' | $19,745,922 | $0 | $19,745,922 |
| 3,407 | 1990 | Betsy's Wedding | $19,740,070 | $0 | $19,740,070 |
| 3,408 | 1985 | Young Sherlock Holmes | $19,739,000 | $0 | $19,739,000 |
| 3,409 | 1989 | Dad | $19,738,015 | $0 | $19,738,015 |
| 3,410 | 1994 | The Cowboy Way | $19,731,505 | $0 | $19,731,505 |
| 3,411 | 1972 | Lady Sings the Blues | $19,726,490 | $0 | $19,726,490 |
| 3,412 | 1993 | Fire in the Sky | $19,724,334 | $0 | $19,724,334 |
| 3,413 | 2001 | The Pledge | $19,719,930 | $9,686,202 | $29,406,132 |
| 3,414 | 2013 | Broken City | $19,701,164 | $14,778,881 | $34,480,045 |
| 3,415 | 2016 | Nine Lives | $19,700,032 | $24,523,165 | $44,223,197 |
| 3,416 | 2005 | Man of the House | $19,699,706 | $2,400,000 | $22,099,706 |
| 3,417 | 2003 | The Life of David Gale | $19,694,635 | $9,225,553 | $28,920,188 |
| 3,418 | 2001 | Summer Catch | $19,693,891 | $0 | $19,693,891 |
| 3,419 | 2009 | Nine | $19,676,965 | $33,831,893 | $53,508,858 |
| 3,420 | 1996 | Don't Be a Menace to South Central While Drinki… | $19,674,813 | $0 | $19,674,813 |
| 3,421 | 2007 | Reign Over Me | $19,661,987 | $420,000 | $20,081,987 |
| 3,422 | 1988 | Tucker: The Man and His Dream | $19,652,638 | $0 | $19,652,638 |
| 3,423 | 1995 | Vampire in Brooklyn | $19,637,147 | $0 | $19,637,147 |
| 3,424 | 1992 | Kuffs | $19,618,135 | $0 | $19,618,135 |
| 3,425 | 1988 | The Serpent and the Rainbow | $19,595,000 | $0 | $19,595,000 |
| 3,426 | 1994 | 8 Seconds | $19,582,455 | $0 | $19,582,455 |
| 3,427 | 1981 | Heavy Metal | $19,571,091 | $0 | $19,571,091 |
| 3,428 | 2009 | Astro Boy | $19,551,067 | $22,085,176 | $41,636,243 |
| 3,429 | 1990 | Jetsons: The Movie | $19,543,985 | $0 | $19,543,985 |
| 3,430 | 1966 | The Professionals | $19,537,346 | $0 | $19,537,346 |
| 3,431 | 2008 | Igor | $19,528,602 | $11,484,747 | $31,013,349 |
| 3,432 | 1988 | Police Academy 5: Assignment: Miami Beach | $19,510,000 | $0 | $19,510,000 |
| 3,433 | 1961 | Dolce Vita, La | $19,500,000 | $0 | $19,500,000 |
| 3,434 | 1943 | This is the Army | $19,500,000 | $0 | $19,500,000 |
| 3,435 | 2011 | The Eagle | $19,490,041 | $16,564,665 | $36,054,706 |
| 3,436 | 1992 | Hero | $19,487,173 | $47,300,000 | $66,787,173 |
| 3,437 | 2003 | Timeline | $19,480,739 | $7,222,445 | $26,703,184 |
| 3,438 | 2005 | Valiant | $19,478,106 | $44,710,281 | $64,188,387 |
| 3,439 | 1995 | It Takes Two | $19,474,589 | $0 | $19,474,589 |
| 3,440 | 1986 | Friday the 13th Part VI: Jason Lives | $19,472,057 | $0 | $19,472,057 |
| 3,441 | 2013 | Beautiful Creatures | $19,452,138 | $40,830,738 | $60,282,876 |
| 3,442 | 1986 | House | $19,444,631 | $2,700,000 | $22,144,631 |
| 3,443 | 1989 | The Fly II | $19,441,528 | $0 | $19,441,528 |
| 3,444 | 1991 | House Party 2 | $19,438,638 | $0 | $19,438,638 |
| 3,445 | 2010 | Oceans | $19,422,319 | $67,365,211 | $86,787,530 |
| 3,446 | 1999 | Doug's 1st Movie | $19,421,271 | $0 | $19,421,271 |
| 3,447 | 2005 | The Producers: The Movie Musical | $19,398,532 | $13,554,463 | $32,952,995 |
| 3,448 | 1989 | An Innocent Man | $19,397,847 | $0 | $19,397,847 |
| 3,449 | 2000 | Wonder Boys | $19,389,454 | $14,033,031 | $33,422,485 |
| 3,450 | 2015 | Shaun the Sheep | $19,375,982 | $82,561,080 | $101,937,062 |
| 3,451 | 2001 | Saving Silverman | $19,351,569 | $6,521,573 | $25,873,142 |
| 3,452 | 1970 | Joe | $19,319,254 | $0 | $19,319,254 |
| 3,453 | 2013 | Runner Runner | $19,316,646 | $41,196,034 | $60,512,680 |
| 3,454 | 1994 | Little Giants | $19,306,362 | $0 | $19,306,362 |
| 3,455 | 2005 | Cursed | $19,294,901 | $5,820,000 | $25,114,901 |
| 3,456 | 1999 | Summer of Sam | $19,288,130 | $0 | $19,288,130 |
| 3,457 | 1994 | Léon | $19,284,974 | $26,000,000 | $45,284,974 |
| 3,458 | 1982 | Deathtrap | $19,282,000 | $0 | $19,282,000 |
| 3,459 | 1984 | Best Defense | $19,265,302 | $0 | $19,265,302 |
| 3,460 | 2008 | My Best Friend's Girl | $19,219,250 | $15,567,861 | $34,787,111 |
| 3,461 | 1998 | Species 2 | $19,217,565 | $7,600,000 | $26,817,565 |
| 3,462 | 1987 | The Principal | $19,214,194 | $0 | $19,214,194 |
| 3,463 | 1994 | House Party 3 | $19,194,572 | $0 | $19,194,572 |
| 3,464 | 2012 | Kari gurashi no Arietti | $19,192,510 | $132,303,587 | $151,496,097 |
| 3,465 | 2006 | Beerfest | $19,185,184 | $974,132 | $20,159,316 |
| 3,466 | 2002 | Martin Lawrence Live: RunTelDat | $19,184,820 | $0 | $19,184,820 |
| 3,467 | 2004 | Two Brothers | $19,176,754 | $43,000,000 | $62,176,754 |
| 3,468 | 1996 | Mother | $19,174,217 | $0 | $19,174,217 |
| 3,469 | 1988 | Friday the 13th Part VII: The New Blood | $19,170,001 | $0 | $19,170,001 |
| 3,470 | 2002 | Tuck Everlasting | $19,161,999 | $182,616 | $19,344,615 |
| 3,471 | 1968 | The Fox | $19,146,711 | $0 | $19,146,711 |
| 3,472 | 2016 | Race | $19,115,191 | $3,062,934 | $22,178,125 |
| 3,473 | 1974 | That's Entertainment | $19,100,000 | $0 | $19,100,000 |
| 3,474 | 2007 | Waitress | $19,097,550 | $3,119,633 | $22,217,183 |
| 3,475 | 2003 | Bugs! | $19,084,280 | $10,112,664 | $29,196,944 |
| 3,476 | 2002 | Hart's War | $19,076,815 | $14,000,000 | $33,076,815 |
| 3,477 | 2014 | I, Frankenstein | $19,075,290 | $55,500,000 | $74,575,290 |
| 3,478 | 2010 | Remember Me | $19,068,240 | $37,437,880 | $56,506,120 |
| 3,479 | 2007 | Vacancy | $19,063,007 | $5,300,000 | $24,363,007 |
| 3,480 | 1989 | Blaze | $19,049,727 | $0 | $19,049,727 |
| 3,481 | 1998 | The Replacement Killers | $19,035,741 | $0 | $19,035,741 |
| 3,482 | 1981 | Mommie Dearest | $19,032,000 | $6,000,000 | $25,032,000 |
| 3,483 | 2012 | The Impossible | $19,019,882 | $150,570,724 | $169,590,606 |
| 3,484 | 1991 | Mortal Thoughts | $19,018,321 | $0 | $19,018,321 |
| 3,485 | 1979 | North Dallas Forty | $19,010,710 | $0 | $19,010,710 |
| 3,486 | 1995 | Johnny Mnemonic | $19,006,201 | $0 | $19,006,201 |
| 3,487 | 1978 | The Boys from Brazil | $19,000,000 | $0 | $19,000,000 |
| 3,488 | 1946 | The Jolson Story | $19,000,000 | $0 | $19,000,000 |
| 3,489 | 1980 | The Octagon | $19,000,000 | $0 | $19,000,000 |
| 3,490 | 1979 | The Seduction of Joe Tynan | $19,000,000 | $0 | $19,000,000 |
| 3,491 | 1989 | Skin Deep | $19,000,000 | $0 | $19,000,000 |
| 3,492 | 1993 | Sniper | $18,994,653 | $0 | $18,994,653 |
| 3,493 | 2002 | Rollerball | $18,990,542 | $6,861,966 | $25,852,508 |
| 3,494 | 2017 | Baahubali 2: The Conclusion | $18,985,794 | $165,089,758 | $184,075,552 |
| 3,495 | 1996 | Bed of Roses | $18,972,237 | $0 | $18,972,237 |
| 3,496 | 2012 | Haywire | $18,942,396 | $17,432,304 | $36,374,700 |
| 3,497 | 1988 | Cocoon: The Return | $18,924,919 | $0 | $18,924,919 |
| 3,498 | 1998 | The Odd Couple II | $18,912,328 | $0 | $18,912,328 |
| 3,499 | 1978 | The Eyes of Laura Mars | $18,900,000 | $0 | $18,900,000 |
| 3,500 | 1993 | Untamed Heart | $18,899,204 | $0 | $18,899,204 |
The Domestic Market is defined as the North American movie territory (consisting of the United States, Canada, Puerto Rico and Guam).
This table is updated daily to reflect the latest studio reports.
Note: This chart is not adjusted for inflation.


- declare two url rules for separated handlers for add and edit
- extend from common form page for steps rather than embeding
- cascade form
- reuse a form POJO across different form flows
- handle dynamic length fields(array fields)
- use @AvailableWhenEditOnly to hide edit operation related DOMs on display mode
- exit flow without final complete page
- customize global message bar


Ocean [ad49], ocean, in Crystal Sea
Last updated Turn #66
Ocean [ad49], ocean, in Crystal Sea
------------------------------------------------------------------------
12: Fast Sail [ht2u], ship, 3 hulls, 1 rowing port, 9 sails, arrived from
12: Ocean [ae49], owner:
12: Stewart [k0u], Pen, with 12 sailors
13: Fast Sail [ht2u], ship, 3 hulls, 1 rowing port, 9 sails, departed for
13: Ocean [ac49].
Routes leaving Ocean:
North, to Ocean [ac49], 6 days
East, to Ocean [ad50], 6 days
South, to Ocean [ae49], 6 days
West, to Ocean [ad48], 6 days


C
B
o
r
e
n
l
e
Software Developer
Projects
Pine Ridge Tiny Home Project
Techy Themed Random Quote Generator
Rock Paper Scissors RPG Game
Weather App
To Do List
Sprite Page Clone
Landing Page
About
Hi, if you made it this far congrats! This is the part where I tell you more about me. My name is Cole and I love to coding, specifically I like to create fun, exciting, and design minded creative projects all while listening to my favorite lofi music.
How I work is simple. I am comfortable working in both the frontend as well as the backend, however I think I shine best with frontend work. I also bring to the table my hard work ethic from my prior career in geology/engineering, as well as my tenacity and determination learned through powerlifting. This enables me to be an adaptable, quick learning software developer. I am always ready to push my limits to learn whatever is necessary to complete the job at hand. I greatly value collaborative teamwork and communication. I focus on being a good team player. I strive to be helpful and willing to fill any team need in order to get the job done. I do not mind speaking in front of others, taking the lead when needed, or sitting back taking directions. I like to ask questions, and I do not mind being asked questions. I do not shy away from taking on extra tasks or having to tackle problems by myself.
Below are a few things I have been working with recently and my educational background:Skills
- JavaScript
- React
- HTML
- CSS/SASS
- Bootstrap
- Git
- Bash
- Design
- Java
- Springboot
- Junit
- Redis DB


W
- the type of window. Contravariant: methods accepting any subtype of
OutputTimeFn<W>
should use the parameter type OutputTimeFn<? super W>
.@Experimental(value=OUTPUT_TIME) public abstract class OutputTimeFn<W extends BoundedWindow> extends java.lang.Object implements java.io.Serializable
The function is represented via three components:
assignOutputTime(org.joda.time.Instant, W)
calculates an output timestamp for any input
value in a particular window.combine()
, a commutative and associative operation on
the output timestamps.merge()
.This abstract class cannot be subclassed directly, by design: it may grow
in consumer-compatible ways that require mutually-exclusive default implementations. To
create a concrete subclass, extend OutputTimeFn.Defaults
or
OutputTimeFn.DependsOnlyOnWindow
. Note that as long as this class remains
experimental, we may also choose to change it in arbitrary backwards-incompatible ways.
| Modifier and Type | Class and Description |
|---|---|
static class |
OutputTimeFn.Defaults<W extends BoundedWindow>
(Experimental) Default method implementations for
OutputTimeFn where the
output time depends on the input element timestamps and possibly the window. |
static class |
OutputTimeFn.DependsOnlyOnWindow<W extends BoundedWindow>
(Experimental) Default method implementations for
OutputTimeFn when the
output time depends only on the window. |
| Modifier | Constructor and Description |
|---|---|
protected |
OutputTimeFn() |
| Modifier and Type | Method and Description |
|---|---|
abstract Instant |
assignOutputTime(Instant inputTimestamp,
W window)
Returns the output timestamp to use for data depending on the given
inputTimestamp in the specified window . |
abstract Instant |
combine(Instant outputTime,
Instant otherOutputTime)
Combines the given output times, which must be from the same window, into an output time
for a computed value.
|
abstract boolean |
dependsOnlyOnEarliestInputTimestamp()
Returns
true if the result of combination of many output timestamps actually depends
only on the earliest. |
abstract boolean |
dependsOnlyOnWindow()
Returns
true if the result does not depend on what outputs were combined but only
the window they are in. |
abstract Instant |
merge(W intoWindow,
java.lang.Iterable<? extends Instant> mergingTimestamps)
Merges the given output times, presumed to be combined output times for windows that
are merging, into an output time for the
resultWindow . |
public abstract Instant assignOutputTime(Instant inputTimestamp, W window)
inputTimestamp
in the specified window
.
The result of this method must be between inputTimestamp
and
window.maxTimestamp()
(inclusive on both sides).
This function must be monotonic across input timestamps. Specifically, if A < B
,
then assignOutputTime(A, window) <= assignOutputTime(B, window)
.
For a WindowFn
that doesn't produce overlapping windows, this can (and typically
should) just return inputTimestamp
. In the presence of overlapping windows, it is
suggested that the result in later overlapping windows is past the end of earlier windows
so that the later windows don't prevent the watermark from
progressing past the end of the earlier window.
See the overview of OutputTimeFn
for the consistency properties required
between assignOutputTime(org.joda.time.Instant, W)
, combine(org.joda.time.Instant, org.joda.time.Instant)
, and merge(W, java.lang.Iterable<? extends org.joda.time.Instant>)
.
public abstract Instant combine(Instant outputTime, Instant otherOutputTime)
combine
must be commutative: combine(a, b).equals(combine(b, a))
.combine
must be associative:
combine(a, combine(b, c)).equals(combine(combine(a, b), c))
.public abstract Instant merge(W intoWindow, java.lang.Iterable<? extends Instant> mergingTimestamps)
resultWindow
.
When windows w1
and w2
merge to become a new window w1plus2
,
then merge(W, java.lang.Iterable<? extends org.joda.time.Instant>)
must be implemented such that the output time is the same as
if all timestamps were assigned in w1plus2
. Formally:
fn.merge(w, fn.assignOutputTime(t1, w1), fn.assignOutputTime(t2, w2))
must be equal to
fn.combine(fn.assignOutputTime(t1, w1plus2), fn.assignOutputTime(t2, w1plus2))
If the assigned time depends only on the window, the correct implementation of
merge()
necessarily returns the result of
assignOutputTime(t1, w1plus2)
(which equals assignOutputTime(t2, w1plus2)
.
Defaults for this case are provided by OutputTimeFn.DependsOnlyOnWindow
.
For many other OutputTimeFn
implementations, such as taking the earliest or latest
timestamp, this will be the same as combine()
. Defaults for this
case are provided by OutputTimeFn.Defaults
.
public abstract boolean dependsOnlyOnEarliestInputTimestamp()
true
if the result of combination of many output timestamps actually depends
only on the earliest.
This may allow optimizations when it is very efficient to retrieve the earliest timestamp to be combined.
public abstract boolean dependsOnlyOnWindow()
true
if the result does not depend on what outputs were combined but only
the window they are in. The canonical example is if all timestamps are sure to
be the end of the window.
This may allow optimizations, since it is typically very efficient to retrieve the window and combining output timestamps is not necessary.
If the assigned output time for an implementation depends only on the window, consider
extending OutputTimeFn.DependsOnlyOnWindow
, which returns true
here and also provides
a framework for easily implementing a correct merge(W, java.lang.Iterable<? extends org.joda.time.Instant>)
, combine(org.joda.time.Instant, org.joda.time.Instant)
and
assignOutputTime(org.joda.time.Instant, W)
.


personas
As a casual user I want to know what I can make with the ingredients I already have.
- Name; Fred Daniels
- Age; 20
- Profession; Im a full time student at the local university and I help out at a bicycle repair shop part time.
- Technology; I have a good understanding of computers and how they work. Most of my experience
on them thus far has been playing video games, taking notes in class and browsing the web when I get bored. I am very
familiar with surfing the web to find just about anything. I refuse to use microsoft edge, google chrome is clearly
the superior browser. My laptop and desktop bot run windows ten, not my favorite but it works.
- Attitudes and Behaviors; Fred lives in a fast paced world with all the school work and social
gatherings plus a part time minimum wage job to fit into his average week. Fred does not have a lot of time or money,
he would rather go out to a restaurant with friends but time and cash being as they are he ends up making ramen noodles
or a P,B and J more often then not. Fred wishes he could cook better or knew a few recipes off the top of his head.
- Frustrations and Needs; Fred is sick and tired of the few things his limited knowledge of cooking
allows him to make, he wants something different. He wants to experiment with culinary arts but he doesn’t have the
time or the grocery money and delivery is out of the question. Fred is hungry now and ramen yet again just won’t do.
He needs access to recipes he can make without spending any more money or time shopping
- Goals; Fred's goal is to find a new dish (or at the very least a new spin on something old) that he
can make himself without having to leave his studio apartment. He does not want to spend any more money on food
or any more time than necessary. He requires the knowledge on how to make something better or different with what he
currently has.


I am Esteve Genovard Ferriol. I was born in Mallorca, where I spent my childhood. Nowadays, I am a computer engineer graduated in La Salle Campus Barcelona, Ramon Llull University, 2014-2018.


Juventus ready to consider offers for top Man Utd, Arsenal defensive target
Arsenal and Manchester United are reportedly preparing to lock horns over Turkey international Merih Demiral during the January transfer window.
Tuttosport suggests that Juventus will cash in on the 21-year-old centre-back, should a significant offer come in for the former Sassuolo star.
The Italian publication claims that both the Gunners and United have sent scouts to make personal checks on Demiral during Turkey’s Euro 2020 qualifiers against Iceland and Andorra.
Juventus signed Demiral from Sassuolo for £15.5million last summer, but the player has only made one senior appearance under Maurizio Sarris so far.
He has found game-time hard to come by, with veteran Leonardo Bonucci and fellow summer signing Matthijs de Ligt the preferred defensive partnership for Juve, while Demiral is also behind Daniele Rugani in the pecking order.
Fellow Serie A side AC Milan are also said to be in the race to sign Demiral, should he choose to stay in Italy rather than move to the Premier League.
Arsenal are in desperate need for new defensive recruits after another campaign so far littered with errors at the back, while United are in the hunt for another centre-back given that Eric Bailly can leave on a free this summer.


Mysterious Agent:
Where is your leader? I am too busy to speak with you commoners...
(Only the party leader may speak with him.)


New Percels
{{parcels}}
New Couriers
{{ couriers }}
Texted Customers
{{ countPayments }}
Delivered Items
{{ countPayments }}
| Item Type | Item Name | Send From | Sender Name | Sender Phone | Destination | Destination Staff | Dest Staff Phone | Receiver Name | Receiver Phone | Status | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Item Type | Item Name | Send From | Sender Name | Sender Phone | Destination | Destination Staff | Dest Staff Phone | Receiver Name | Receiver Phone | Status | Action |
| {{ data.itemType }} | {{ data.itemName }} | {{ data.sendFrom }} | {{ data.senderName }} | {{ data.senderPhone }} | {{ data.destination }} | {{ data.destinationStaff }} | {{ data.destinationStaffPhone }} | {{ data.receiverName }} | {{ data.receiverPhone }} | {{ data.status }} | Send SMS |


Apparently your server is not configured properly.
Detected no configuration directive for library error
include in your .user.ini file in your root directory with this content:
{config}


(For a full list see below.
Jiazhong Hu, Lei Feng, Zhendong Zhang, Cheng Chin
Lei Feng, Jiazhong Hu, Logan W. Clark, Cheng Chin
Han Fu, Lei Feng, Brandon M. Anderson, Logan W. Clark, Jiazhong Hu, Jeffery W. Andrade, Cheng Chin, K. Levin
Jiazhong Hu, Alban Urvoy, Zachary Vendeiro, Valentin Crepel, Wenlan Chen, Vladan Vuletić
Mahdi Hosseini, Kristin M Beck, Yiheng Duan, Wenlan Chen, Vladan Vuletić
Physical Review Letters 116, 033602 (2016)
Wenlan Chen, Jiazhong Hu, Yiheng Duan, Boris Braverman, Hao Zhang, Vladan Vuletić
Physical Review Letters 115, 250502 (2015)
Jiazhong Hu, Wenlan Chen, Zachary Vendeiro, Hao Zhang, Vladan Vuletić
Physical Review A 92 063816 (2015)
Robert McConnell, Hao Zhang, Jiazhong Hu, Senka Ćuk, Vladan Vuletić
Kristin M Beck, Wenlan Chen, Qian Lin, Michael Gullans, Mikhail D Lukin, Vladan Vuletić
Physical Review Letters 113, 113603 (2014)
Quantum Simulation of Coherent Hawking-Unruh Radiation
Jiazhong Hu, Lei Feng, Zhendong Zhang, Cheng Chin
arxiv:1807.07504
Complex correlations in high harmonic generation of matter-wave jets revealed by pattern recognition
Lei Feng, Jiazhong Hu, Logan W. Clark, Cheng Chin
arxiv:1803.01786
Density waves and jet emission asymmetry in Bose Fireworks
Han Fu, Lei Feng, Brandon M. Anderson, Logan W. Clark, Jiazhong Hu, Jeffery W. Andrade, Cheng Chin, K. Levin
arxiv:1807.08781
Creation of a Bose-condensed gas of rubidium 87 by laser cooling
Jiazhong Hu, Alban Urvoy, Zachary Vendeiro, Valentin Crepel, Wenlan Chen, Vladan Vuletić
Science 358, 1078 (2017)
Vacuum spin squeezing
Jiazhong Hu, Wenlan Chen, Zachary Vendeiro, Alban Urvoy, Boris Braverman and Vladan Vuletić
Physical Review A 96, 050301(R) (2017)
Strictly nonclassical behavior of a mesoscopic system
Jiazhong Hu, Zachary Vendeiro, Wenlan Chen, Hao Zhang, Robert McConnell, Anders S. Sørensen, Vladan Vuletić
Physical Review A 95, 030105(R) (2017)
Coherence Times of Bose-Einstein Condensates beyond the Shot-Noise Limit via Superfluid Shielding
William Cody Burton, Colin J. Kennedy, Woo Chang Chung, Samarth Vadia, Wenlan Chen, Wolfgang Ketterle
Physical Review Letters 117, 275301 (2016)
Partially nondestructive continuous detection of individual traveling optical photons
Mahdi Hosseini, Kristin M Beck, Yiheng Duan, Wenlan Chen, Vladan Vuletić
Physical Review Letters 116, 033602 (2016)
Carving complex many-atom entangled states by single-photon detection
Wenlan Chen, Jiazhong Hu, Yiheng Duan, Boris Braverman, Hao Zhang, Vladan Vuletić
Physical Review Letters 115, 250502 (2015)
Entangled collective-spin states of atomic ensembles under nonuniform atom-light interaction
Jiazhong Hu, Wenlan Chen, Zachary Vendeiro, Hao Zhang, Vladan Vuletić
Physical Review A 92 063816 (2015)
Entanglement with negative Wigner function of almost 3,000 atoms heralded by one photon
Robert McConnell, Hao Zhang, Jiazhong Hu, Senka Ćuk, Vladan Vuletić
Nature 519, 438 (2015)
Cross modulation of two laser beams at the individual-photon level
Kristin M Beck, Wenlan Chen, Qian Lin, Michael Gullans, Mikhail D Lukin, Vladan Vuletić
Physical Review Letters 113, 113603 (2014)
All-optical switch and transistor gated by one stored photon
Wenlan Chen, Kristin M Beck, Robert Bücker, Michael Gullans, Mikhail D Lukin, Haruka Tanji-Suzuki, Vladan Vuletić
Science 341, 768 (2013)
Generating entangled spin states for quantum metrology by single-photon detection
Robert McConnell, Hao Zhang, Senka Ćuk, Jiazhong Hu, Monika H Schleier-Smith, Vladan Vuletić
Physical Review A 88, 063802 (2013)
Efficient tomography of quantum-optical Gaussian processes probed with a few coherent states
Xiang-Bin Wang, Zong-Wen Yu, Jia-Zhong Hu, Adam Miranowicz, Franco Nori
Physical Review A 88, 022101 (2013)
Vacuum-induced transparency
Haruka Tanji-Suzuki, Wenlan Chen, Renate Landig, Jonathan Simon, Vladan Vuletić
Science 333, 1266 (2011)
Creation of a Bose-condensed gas of rubidium 87 by laser cooling
Jiazhong Hu, Alban Urvoy, Zachary Vendeiro, Valentin Crepel, Wenlan Chen, Vladan Vuletić
Science 358, 1078 (2017)
Light-induced many-body correlations in ultracold gases
Jiazhong Hu
Thesis for Doctor of Philosophy (2017)
Strong photon-photon interactions at the single-photon level
Wenlan Chen
Thesis for Doctor of Philosophy (2015)


Systolic array builder.
More...
#include <CellArrayBuilder.hpp>
Systolic array builder.
Used to create array of cells in order.
◆ add() [1/2]
Add a predefined cell to the array.
- Parameters
-
| cellType | Type enum of the cell to add. |
| term | The optional term to bind to that cell (please refer to the implementation of the cells for more details). |
- Returns
- The instance of the builder.
- Exceptions
-
| std::invalid_argument | On custom type cell insertion (use overloaded method instead). |
◆ add() [2/2]
Add a custom cell to the array.
- Parameters
-
| cellType | Type enum of the cell to add. |
| customFunc | The custom function, taking a const int and returning a const int, to be executed by the cell. |
- Returns
- The instance of the builder.
- Exceptions
-
| std::invalid_argument | On predefined type cell insertion (use base method instead). |
◆ build()
Generate the systolic array from previous addition.
- Returns
- A vector of unique_ptr of the previously added cells.
◆ fromPolynomialCoefs() [1/2]
| std::shared_ptr< Systolic::CellArrayBuilder > Systolic::CellArrayBuilder::fromPolynomialCoefs |
( |
const std::initializer_list< int > |
coefs | ) |
|
Add a deduced number of PolynomialCells.
Add as many PolynomialCell as needed for the given list, with their coefficients in order of the list.
- Parameters
-
| coefs | The list of coefficients for each future polynomial cell, in order. |
- Returns
- The instance of the builder.
◆ fromPolynomialCoefs() [2/2]
Add a preset number of PolynomialCells.
Add as many PolynomialCell as entries in the given queue, with their coefficients in order of the queue.
- Parameters
-
| coefs | The queue of coefficients for each future polynomial cell, in order. |
- Returns
- The instance of the builder.
◆ fromPolynomialEquation()
Add a preset number PolynomialCells.
Add as many PolynomialCells as required to solves the given equation using the Horner's method. Ill-formated equation will provide an undefined sequence of cells.
- Parameters
-
| equation | An equation of the form Cn*X^N(+Cn-1*X^N-1+…). |
- Returns
- The instance of the builder.
The documentation for this class was generated from the following files:


I'm a backend engineer at Blackrock. I build large-scale distributed systems that are a joy to use!
Computer Science (Masters)August 2015 - May 2017GPA 3.9/4.0
Information Technology (Bachelors)August 2011 - May 2015GPA 3.5/4.0
Java c#(.NET) Swift HTML Python JavaScript RPAL C++ C SQL XML Bash
Software Developer IIJuly 2017 - Present
I'm currently a backend engineer at Blackrock. I focus on backend chalenges and actively design and build large-scale distributed microservices using Java and the Spring framework, Angular frontend tools and more!
Simulation DeveloperJanuary 2016 - May 2017
Involved in developing CSSALT's Mixed Rality Simulation Suite, building some of the best features like their Integrated Tutor. The CSSALT MR Sim is a groundbreaking way for students to visualize and learn medical procedures, ensuring an unparalleled learning experience.
FounderJuly 2015 - Present
Parsi portal is a global-scale service that serves the greater Zoroastrian comunity. The service provides a unique platform for Zoroastrians to communicate, socialize and stay up to speed with community events, all in one neat and seamless package.


John Legend Isn’t Sure If His Daughter Luna Actually Believes In Santa Claus
November 23, 2019
John Legend Isn’t Sure If His Daughter Luna Actually Believes In Santa Claus
The 'Sexiest Man Alive' speculates his daughter may be too smart to believe in the man in the big red suit.
The 'Sexiest Man Alive' speculates his daughter may be too smart to believe in the man in the big red suit.
John Legend believes his 3-year-old daughter Luna Simone might not believe in Santa Claus.
Yesterday, John Legend spoke to People Magazine exclusively about some of the holiday traditions he and his family share.
The conversation took place while he was attending the Bloomingdale’s holiday store window unveiling. Legend was not only in attendance, but he also assisted in unveiling the holiday windows. He performed some of his hits from his Christmas album.
“Luna, she talks about Santa and I don’t know if she really believes in Santa or if she just does it to play along with us. I don’t know what’s going on yet. I was never raised on Santa as a kid, so I never knew about the way parents keep up the mythology for a while.” Legend explained to People Magazine.
John continued to explain that he wasn’t sure how long he and Chrissy Teigen would “keep the charade going” as he believed it was only a matter of time before his daughter figured out what was and was not true.
Because Legend was not brought up believing in the magic of Santa Claus, finding the right way to incorporate it in his children’s’ lives and for how long is something he admittedly struggles with.
And what does the singer plan on giving his children for Christmas?
In regards to presents, Legend told People Magazine he and his wife spend time listening to what both Luna and Miles Theodore enjoy. He said they would spend time deciding what they love and what they like before getting them gifts based on what they learned.
John added that he’s well aware of how fortunate his children are. He, however, doesn’t want to completely spoil them during Christmas but does want to make sure he and his wife are able to get them some presents they will really enjoy.
Loading...
Here’s what Christmas celebrations look like in John Legend’s home
During the conversation with the publication, John also shed some light on what Christmas celebrations looked like for his family. He explained that food, family, and music were the three most important components. He noted that as long as they had those three things that nothing else mattered.
Legend also revealed that Christmas songs are not exclusive to the Christmas season in his house. In fact, his daughter Luna loves Christmas music so much she believes she should listen to it all year round.
“She’s like, ‘I want to hear daddy’s Christmas music,’ and it happens all year round,” he explained.


|
NATS C Client with JetStream and Streaming support
3.7.0-beta
The nats.io C Client, Supported by Synadia Communications Inc.
|
#include <nats.h>
Public Attributes | |
| jsStreamConfig * | Config |
| int64_t | Created |
| UTC time expressed as number of nanoseconds since epoch. | |
| jsStreamState | State |
| jsClusterInfo * | Cluster |
| jsStreamSourceInfo * | Mirror |
| jsStreamSourceInfo ** | Sources |
| int | SourcesLen |
| jsStreamAlternate ** | Alternates |
| int | AlternatesLen |
Configuration and current state for this stream.
Created
is the timestamp when the stream was created, expressed as the number of nanoseconds passed since 00:00:00 UTC Thursday, 1 January 1970. | jsStreamConfig* jsStreamInfo::Config |
| int64_t jsStreamInfo::Created |
| jsStreamState jsStreamInfo::State |
| jsClusterInfo* jsStreamInfo::Cluster |
| jsStreamSourceInfo* jsStreamInfo::Mirror |
| jsStreamSourceInfo** jsStreamInfo::Sources |
| int jsStreamInfo::SourcesLen |
| jsStreamAlternate** jsStreamInfo::Alternates |
| int jsStreamInfo::AlternatesLen |


Quick start
Set up your HTTP proxy settings:
Host: Loading...
Port: Loading...
Set up SSL interception if required
Follow the steps from the mitmproxy docs. All certificates are stored in the "~/.mitmproxy" directory in your user folder.
Give Feedback!
HoneyProxy is still in an early stage. Getting some feedback from you would be awesome. Thanks!


DBMS-Agnostic Spatial Indexing¶
B-Tree¶
There is a standard technique all DBMSs use to speed up queries. If you have a constraint like:
where ra between 214. and 215. and dec between 34. and 35.
the DMBS checks to see if it has an “index” on either ra or dec. The index itself is based on a sorted list of the parameter values; going through this list in order between the low and high value allows the database to jump from record to record in the table, therefore only having to do two I/Os for every record touched (i.e., the index and the table record). If this is a small fraction of the table total, the overall time is much smaller than reading through the whole table (the alternative).
Only one of the constraints can be used for any given query (we can only step through the records in one order). The DBM also contains a histogram of the values for each indexed columns and estimates up front which constraint will involve the smaller number of I/Os. In the same way, it can determine whether the index chosen is worth the effort. For instance, a range that would touch half the records would actually take longer than “scanning” just the data records.
This technology is referred to as a “B+-Tree”.
There are a number of practical consequences of this approach. Some columns have values that are distributed in ways that make indexing ineffective. Index too many columns and you waste too much time deciding on the right index. Indices on columns no one ever constrains are of no use.
We should note that this is not to say that indices on the two elements of a coordinate are useless. Even without the region-based spatial indexing described here something as simple as the either/or RA/Dec indexing will speed up queries. Furthermore, there are times when a single constraint is actually what is needed (e.g., “WHERE glat > 80”).
Composite Indices¶
DBMSs also support “composite” indices but these are of limited use. Essentially, if you can make a sorted list on one parameter and this ends up collecting records into groups where all the records have the same value for that parameter, you can the sort inside the group by a second parameter. And if the nested sorting helps in queries then a composite index is useful.
Our primary goal here is to speed up spatial queries and for position parameters in astronomical tables neither of the above conditions is satisfied: If you sort on RA first you don’t get large groups of equal RA so then sorting on Dec gets you nowhere and even if the RAs did group, a composite index of this sort doesn’t help with region queries.
Tesselation¶
Somewhat surprisingly, there is a technique that allows the basic B-Tree index to speed up 2D spatial queries. It involves subdividing the sky into little regions (e.g., RA/Dec boxes though that particular “tesselation” has a bunch of problems) and assigning a single integer ID to each region in such a way that IDs that are close together numerically have a strong tendency to be close together on the sky.
This is accomplished using a Z-ordered curve (https://en.wikipedia.org/wiki/Z-order_curve). There are different “tesselations” of the sky (our library supports two) but the choice has little effect on query speed. More important is how “deep” you go in the hierarchical subdivision though even this is a secondary effect.
Basically, for each record you identify a cell ID and save this in the database record. All coordinates inside the same cell will get the same ID. The ID column is indexed using the DBMS built-in B-Tree functionality.
Then later, when processing search request that asks for all the records in a cone on the sky, you determine which cell IDs overlap the region (in whole or in part). A further refinement is to turn this list into a set of ID ranges.
Sending this constraint on ID to the DBMS, you would get back all the records in all those cells, a superset of the data you want. But if you also store in the database columns giving the 3-vector coordinates of each point you can augment the query with a constraint that weeds out just the records matching the exact geometry.
Here’s a concrete example. Tesselating the sky using HTM cells (more on that later), we can turn a constraint like:
within 1 degree of<PHONE_NUMBER>,-23.1312775)
into the following:
where ((0.367585916751*x)+(-0.842946005983*y)+(-0.392839184405*z)>=9.998476951564e-01)
AND ( (htm20 BETWEEN<PHONE_NUMBER>4336 AND<PHONE_NUMBER>5519)
OR (htm20 BETWEEN<PHONE_NUMBER>6528 AND<PHONE_NUMBER>2111)
OR (htm20 BETWEEN<PHONE_NUMBER>6992 AND<PHONE_NUMBER>2575)
OR (htm20 BETWEEN<PHONE_NUMBER>0048 AND<PHONE_NUMBER>3123)
OR (htm20 BETWEEN<PHONE_NUMBER>8032 AND<PHONE_NUMBER>5247)
OR (htm20 BETWEEN<PHONE_NUMBER>5760 AND<PHONE_NUMBER>2975)
OR (htm20 BETWEEN<PHONE_NUMBER>4496 AND<PHONE_NUMBER>2032)
OR (htm20 BETWEEN<PHONE_NUMBER>0080 AND<PHONE_NUMBER>0527)
OR (htm20 BETWEEN<PHONE_NUMBER>4608 AND<PHONE_NUMBER>9487)
OR (htm20 BETWEEN<PHONE_NUMBER>8816 AND<PHONE_NUMBER>2127)
OR (htm20 BETWEEN<PHONE_NUMBER>4736 AND<PHONE_NUMBER>1755)
OR (htm20 BETWEEN<PHONE_NUMBER>5312 AND<PHONE_NUMBER>8607)
OR (htm20 BETWEEN<PHONE_NUMBER>0112 AND<PHONE_NUMBER>3739))
So the DBMS does all the work. This query may look long-winded but it is no problem for the DBMS and quite fast.
HTM and HPX¶
As we said, the choice of tessselation scheme doesn’t matter too much. In fact, we have done a study for NASA that demonstrates this. But since we have the capability (from that study) we have include two tesselations in our toolkit:
Heirarchical Triangular Mesh (HTM) subdivides the sky into triangles. The base level is the set of eight triangles defined by the poles and the cardinal points around the equator. The nesting of the levels is done by finding the midpoints of the upper triangle sides and connecting them. This subdivides the triangle into four roughly equal parts; three containing the original corners and one in the center.
HPX is base on the HEALPix tesselation. HEALPix was originally developed to support numerical integration on the sphere and has a number of interesting characteristics. The HEALPix cells are diamonds on the sky and get divided into four in such a way as to maintain equal area in each sub-cell. This is important for the original use but doesn’t matter for database indexing.
Optimal Tesselation¶
There is no best tesselation and the “best” tesselation depth depends on the size of the regions that are most commonly searched (and to a much lesser degree to the data density). Level 20 depth (as we used above) results in ~arcsecond cells and level 7 is around half a degree. In test we ran of the full range of cell sizes and a with cone searches on the sky ranging from arcsecond to a few degrees, uniformly distributed in log(radius), the optimum was somewhere in the middle (around level 14).
See the next section for information on software tools to help populate the x, y, z and spatial-index columns.


came back with other question about vector array function I am writing. I need some hints on how to return the number next to the interesting number I am looking for??
cull's job is to call your interesting function to create and return an array
that consists of all the interesting elements of v together will all the
elements of v that are next to interesting numbers.
For example, if your interesting function returns true for numbers that are
multiples of 10, and v held {9, 5, 10, 20, 8, 47, 63, 1, 70},
then cull would return a vector that held {5, 10, 20, 8, 1, 70}
Your cull function should work properly for any interesting function,
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
|
bool interesting(unsigned n)
{
return (n % 10 == 0);
}
vector<unsigned> cull(const vector<unsigned> & v)
{
vector<unsigned> x;
unsigned temp;
for (unsigned i = 0; i < v.size(); i++)
{
if (interesting(v[i]))
x.push_back(v[i]);
}
return x;
}
| |
obviously this only output 10,20,70
do I need to use two loops or some other variables ??


| 004:026 Khan | : |
Allah wishes to make clear (what is lawful and what is unlawful) to you, and to show you the ways of those before you, and accept your repentance, and Allah is All-Knower, All-Wise. |
| 004:026 Maulana | : |
Allah desires to explain to you, and to guide you into the ways of those before you, and to turn to you (mercifully). And Allah is Knowing, Wise. |
| 004:026 Pickthal | : |
Allah would explain to you and guide you by the examples of those who were before you, and would turn to you in mercy. Allah is Knower, Wise. |
| 004:026 Rashad | : |
GOD wills to explain things for you, and to guide you through past precedents, and to redeem you. GOD is Omniscient, Most Wise. |
| 004:026 Sarwar | : |
God wants to guide you, explain to you the customs of those who lived before you, and grant you forgiveness. He is All-knowing and All-wise. |
| 004:026 Shakir | : |
Allah desires to explain to you, and to guide you into the ways of those before you, and to turn to you (mercifully), and Allah is Knowing, Wise. |
| 004:026 Sherali | : |
ALLAH desires to make clear to you, and guide you to, the path of those before you and to turn to you in mercy. And ALLAH is All-Knowing, Wise. |
| 004:026 Yusufali | : |
Allah doth wish to make clear to you and to show you the ordinances of those before you; and (He doth wish to) turn to you (In Mercy): And Allah is All-knowing, All-wise. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > إرادته Pillars of Islam> Islamic> Oneness of Allah> His Will الإيمان > الإيمان بالله > التوبة Faith> Belief In Allah> Repentance
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


By default tooltips will be positioned bottom
when rolling over the element
You can control the position of the tooltip by providing the position
property with either bottom
, top
, left
or right
value
The delay
input property will allow you to set the delay in millisecond before the tooltips appears (1000ms in this example)
You can write custom HTML inside the tooltip
property by setting html
input property to true
The input properties of the mz-tooltip
directive makes the tooltip completely dynamic. Change the configuration below and see how the tooltip reacts.
The mz-tooltip
directive can be placed on any HTML element.
Tooltips can be customized using the following properties on any HTML element when adding mz-tooltip
directive.


Canadian Competition 2016 Day 3
Hi All,
We performed our last competition flight. As a treat there is a video at the end showing take off and landing.
We were given 1hr to generate a report of the flight. Everyone you see below is busy generating the report. Everyone else was having enough free time to take the picture.
Shout-out to Jorge for organizing the report generation
Target areas were superimposed onto a map of the search area.
The final results will be made known to us tonight.
Check out the vido on our youtube channel.


Specifies annotations for parameters and return type of a function.
If there is type information collected in run-time, it is used to set the default values of types.
Refer to
PEP-484
for more details about type hints.


do_times(n, fn, @key from = 0, init)
Return the final value of the function fn
, after calling it n
times.
The starting value of n
is specified by the from
keyword argument.
Fn
take three arguments - the current value of n
, the value returned by
the previous call to fn
and a function that can be called to exit from the
loop prematurely. The initial value of the second argument is specified by
the init
keyword argument.
do_times(5, ^(n, p, _) n + p, init = 0)
// 10
do_times(5, ^(n, p, return) if (n == 4) return(p) else n + p, init = 0);
// 6


This article is written by Orange Paper(橙皮书) and translated by Tianyu M. Fang. The Mask Network team supported the translation as well. In our perspective, it’s a bold step of Twitter to announce its plan of decentralization last December, though we haven’t heard any news since then. It’s a long term effort to build the portal to the new Internet on top of existing platforms, and Mask Network would like to facilitate this journey.
If Bitcoin had existed before Twitter, would the history of social networking have been rewritten?
(This story is completely fictional.)
One night in 2007, Jack Dorsey had a dream.
Jack had been a child who was used to being alone. While other kids were playing American football, he was busy obsessing over maps and train sounds. Train operators and dispatchers communicating their geographic locations over the radio had a special charm for him. These messages were simple but efficient: Where are they going? Doing what? Where are they now?
Years later, the child created a product called Twitter. The idea of a tweet — a bird call characterized by short, frequent, and fast sounds — is a manifestation of simple, efficient communication. It was an idea inadvertently inspired by his study of trains as a child.
It was June 2007, just over a year after Twitter’s launch. Three months earlier, at the SXSW in Texas, Twitter had won the Web Award in the “blog” category, and the number of registered users had risen steadily, first to 100,000 and then, three months later, to 250,000. The office was abuzz with excitement.
Jack was on the edge of his seat, staring at his phone and wondering what to tweet. To make it easier for people to use Twitter via SMS, the team had just added a somewhat odd feature to the product in February — a 140-character limit. The messages were becoming shorter, but they were traveling faster than ever.
He suddenly remembered a post he had seen the other day that mentioned something called Bitcoin. The author was Satoshi Nakamoto; he was supposed to publish a paper on it in 2008, but he eventually started to write the code for it a year earlier.
A protocol for electronic money? Jack didn’t quite understand what that meant, but he had a vague feeling that it would be something interesting.
The night when he got home from work, Jack had a strange nightmare. He dreamed that Twitter had become a hit. As users were growing faster, the company’s technical capabilities were failing — the product was often down. The team was busy developing new features while the management struggled with problems. The relationship among partners was worsening, and the CEO battle in the office resembled an internal courtroom drama.
But that was not the worst of it — the worst was that Twitter would become one of the largest social networks in the world.
Worse yet, when the team tried to do something about the hostility on the platform, users complained that Twitter was over-regulating their speech. When the team tried to leave it alone, governments and the law obliged them to intervene. Twitter went public, but the product was anything but what Jack had wanted.
The next day at work, Jack told his partner Evan Williams about his nightmare last night. The nightmare was weighing on his mind a bit, and in order to keep Twitter from ending up like this, he told Evan, maybe we should make Twitter more open, not as a product, but as a protocol. Like TCP/IP. Anyone can develop a new product on it — that’s a liberation for the team.
But isn’t that what we’re doing now? Evan didn’t quite understand Jack’s thinking. In his opinion, Twitter was already open enough that all APIs used by the product were public, and any developer could call the data on the platform at will. In the future, there would even be different Twitter clients for users to choose from. What’s the point of making it a protocol when we already have an open API?
“The difference,” Jack continued, “is that if Twitter goes public in the future, we’ll have to stop the API and block all other clients so we can capture the most users to squeeze profit. If we make a decentralized protocol, we will not be able to stop people from developing applications on top of the protocol, because the protocol will not be owned by anyone. At the same time, we’ll have nothing to do with the user behaviors on the platform or the content regulation policies it needs to comply with.”
“Social networking can be like emails. They follow the same set of standards, including the SMTP and IAMP protocols. For example, even if I use Yahoo Mail, I’ll be able to communicate with Gmail users.”
“If someone makes a new product using the same protocol, that product will be compatible with Gmail from day one. Moreover, the protocol is standardized so that you can unconditionally download, delete, or transfer your own mail data on the Gmail platform — users will be able to migrate at virtually no cost.”
“This way, whenever a new product enters the market, it won’t face an absolute monopoly against the existing giant players, because users can always take their data and migrate to the new product. In other words, the market will always remain open.”
“What will it be like to build a decentralized protocol for social networking? Imagine this — “
“The Simple Social Network Protocol, or SSNP, creates a model for a Twitter-like social network. It offers standards for account registration, data storage, and migration, as well as basic features such as tweeting, retweeting, commenting, following, or liking a tweet.”
“If a product is built under SSNP, then it naturally interoperates with other SSNP protocol products. What is the concept of interoperability in this context?”
“For example, the Facebook user<EMAIL_ADDRESS>can tag the Twitter user<EMAIL_ADDRESS>Users on one platform can receive messages from their contact on another platform. They’ll be able to follow each other and reply to each other’s posts.”
Facebook and Twitter might have their own content censorship policies, their own rules of speech, their own community culture, and user clients with different functional designs and UIs. If John wants to migrate to Mastodon, the migration cost will be very low — he will export the data, take his followers with him, and continue his life on the new platform as<EMAIL_ADDRESS>The whole office fell silent after Jack’s presentation. Obviously, this “protocols not platforms” approach is much closer to what Twitter looked like when it was created, and it’s a model the team would have preferred.
But at the same time, one of the most important questions remained unanswered:
Twitter is a commercial community. Developing protocols doesn’t make money. How do we keep the team running in the long run? Sure, we’re in early rounds of funding and don’t really need to think about the business model — but sooner or later investors will liquidate or exit. An open-source protocol that doesn’t monopolize user data and their social relationships will have a hard time extracting value.
Jack also didn’t have an answer to this question. He’s thought about it, but nothing good has come out yet. This was the last hurdle that seemed insoluble.
Suddenly, one word flashed in his mind: Bitcoin.
Satoshi Nakamoto was developing a similar network. It wasn’t a social network, however, but a payment network.
Bitcoin is a peer-to-peer electronic payment network that allows anyone to transfer money to another person in the world, without a company or intermediary. The overhead cost of this payment system is borne by the P2P nodes in the network — also known as miners, who earn rewards by protecting the network. These rewards are the Bitcoins automatically distributed by the system.
When more people use the Bitcoin network, the rewards become more valuable. The founding team that developed the protocol, as well as the first nodes to join the Bitcoin network, could theoretically obtain a large number of Bitcoins relatively cheaply in the early stages, and then be rewarded even more when the network becomes more valuable. In this way, Bitcoin solves the business model problem while developing a decentralized protocol.
Why, then, can’t we use the same approach to develop a social media protocol? After all, electronic money and social networking seem to be necessities and public utilities of human society. It is difficult to commercialize, but at the same time it needs to serve a public social function.
The office was still silent, and Jack didn’t have time to tell everyone what he was thinking. He had to make sure that his understanding of Bitcoin was correct. He was thinking that maybe he should talk to this Satoshi Nakamoto first.
All in all, the future of Twitter was still very murky. But Jack had at least some kind of answer in mind.
He was also thinking that maybe he should make another product besides Twitter — after all, Bitcoin is just getting started. There is a question mark over the success of a decentralized electronic currency. Maybe he should start with a centralized payment product, called Square, to solve the problem of people receiving money and paying for it. If this product comes to fruition, he’d be happy to help Satoshi in turn by funding the development of this Bitcoin project — which, of course, would come later.
(The end.)
A few final words.
1. Jack Dorsey, the CEO of Twitter, announced that the company will fund a small team of 5 people, with the participation of the Twitter CTO himself, to develop a decentralized social networking protocol, and Twitter will be one of the clients that meets the criteria of this protocol.
This team, called Bluesky, will have a lot of freedom and autonomy. They can build upon the existing work on Twitter, or if can start something else if they feel the need to do so.
2. @jack said that this decision was made because he realized that there are some things that are difficult to achieve with a centralized platform. For Twitter, these things include:
First, a set of globally accepted censorship policies for content on social networks. In practice, legal requirements and community culture vary from region to region. It is not possible to create a universal set of standards.
Second, recommendation algorithms themselves are not open source, so users do not have the freedom of choice.
Thirdly, social media platforms, in their own self-interest, will naturally push eye-catching and clickbait-y contents.
New technologies have made decentralization possible. Blockchain provides an open and sustainable data storage strategy as well as governance and monetization mechanisms.
3. USV investor Fred Willson retweeted Jack’s tweet, giving approval to his decision. He said that the early Twitter took a path closer to a decentralized protocol, with open APIs and many third-party clients, but then the team decided that they wanted to take a more centralized path.
At that time this was absolutely the right decision for a commercial company in. But Fred sometimes wonders if Twitter had come after Bitcoin, rather than before, maybe the outcome would have been different.
4. Jack holds Bitcoin and only Bitcoin. His other payment company, Square, has created a program called Square Crypto to fund research related to the Bitcoin protocol.
5. Twitter’s attempts at “decentralization” and “self-revolution” were not well received by many users. One of the reasons mentioned by many is that there are already many similar decentralized social networks, which are open source products with open protocols, but they don’t attract many users.
In our view, there are several reasons:
First, the experience of these existing decentralized social media platforms is too different from the more popular centralized ones. They are not easy to use.
Second, the existing social networking protocols have not become the de facto standards, and the protocols themselves are not appealing enough to developers.
Lastly, it is difficult for new social networking platforms to take off if they are not “interoperable” with existing ones. Because Facebook, Twitter, and all the other platforms have such a strong grip on user data and relationships, the network effect is so great that it is nearly impossible for all users to migrate there. It would be a big difference if Jack, as the leader, could get this protocol to work with Twitter first.
(The end of the article. Special thanks to Orange Paper and Tianyu M. Fang)
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About Me
I am a student of Indian Institute of Technology, Roorkee currently pursuing my Bachelor of Technology in Electronics and Communication.
You will find me either developing web applications or fighting for equal human rights whenever I am not busy with my academics. I am a member of the software development section of, SDSLabs and an editor of the official technical magazine, Geek Gazette of my college. Apart from hearing the words ‘oppresive society’ and 'I want pizza’ from me at random instances of time, you can see me either spending my time on Github or Tumblr.
I am also a web security enthusiast and from this moment on a blogger maybe?