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| User guide |
(The code for this example can be found here: [ view | edit | run ] )
When using layouts to position axes that can also have a
colorbar or legend it is very important to group the axes
with its colorbar and legend by putting them inside a uicontainer
.
The following example illustrates this.
Open a new figure window and remove the toolbar and menus.
window = figure
( 'Name', 'Axes legend and colorbars', ...
'MenuBar', 'none', ...
'Toolbar', 'none', ...
'NumberTitle', 'off' );
The layout involves two axes side by side. Each axes is placed into a uicontainer so that the legend and colorbar are "grouped" with the axes.
hbox =uix.HBoxFlex
('Parent', window, 'Spacing', 3); axes1 =axes
( 'Parent',uicontainer
('Parent', hbox) ); axes2 =axes
( 'Parent',uicontainer
('Parent', hbox) );
Give the first axes a colorbar and the second axes a legend.
surf
( axes1,membrane
( 1, 15 ) );colorbar
( axes1 );
theta = 0:360;plot
( axes2, theta,sind
(theta), theta,cosd
(theta) );legend
( axes2, 'sin', 'cos', 'Location', 'NorthWestOutside' );
| Axes inside layouts | [Top] | Controlling visibility |


Stanwood Analytics iOS
The Stanwood Analytics framework is a wrapper to reduce the effort involved in adding analytics and logging frameworks to iOS projects and to make the implementation consistent. The pod consists of a base install, and optional extras defined as sub-specs. There is still work in progress to add support for more frameworks.
- Fabric [Base]
- Crashlytics [Base]
- TestFairy [Base]
- Firebase Analytics [Base]
- GoogleAnalytics
- MixPanel
- BugFender
- Adjust [In progress]
- IVW Tracking [Planned]
Table of contents
- Example
- Requirements
- Installation
- Basic Configuration
- GDPR Compliance
- Firebase
- Google Analytics
- Mixpanel
- Notifications
- BugFender
- Analytics Tracking API Functions
- Updating Analytics in Existing Projects
- Release Notes
- Author
- License
- Troubleshooting
Example
Before running the project, it is recommended to register with both Fabric and Firebase Analytics. Optionally register with Google Analytics, Mixpanel, BugFender and TestFairy. Set the keys in the Configuration.swift file.
To run the example project, clone the repo, and run pod install
from the Example directory first.
The example app consists of 2 screens, the first with buttons and text fields to log user data and events, and the second to track custom events (Google Analytics) and a switch to toggle the tracking. It is on by default. It is a global disable switch which is intented to comply to the legal requirements for GDPR. Since some frameworks will continue to send information even after tracking is disabled, an alert is displayed on turning off the switch to inform users that data will continue to be sent until the app has been restarted. Some frameworks will also send data on restarting the application when tracking and logging is disabled, but this is usually only a single call. If the switch is off at startup, turning it on will call the start() function of all the trackers.
The changes in the switch setting are tracked in the frameworks using 2 keys: tracking_opt_out
and tracking_opt_in
.
Requirements
- 1. Crashlytics & Fabric
Follow the install instructions for Fabric to add the run script and API key additions to the Info.plist. Do not add the pods to the Podfile, nor call the initialize function - this framework handles that part.
Note that the run script path will be different to that stated on the Fabric website.
"${PODS_ROOT}/StanwoodAnalytics/Frameworks/Fabric.framework/run"
- 2. Firebase Analytics
See the documentation on how to configure your project. The only necessary requirement is to add the GoogleServices.plist file. Do not call FirebaseApp.configure().
Installation
StanwoodAnalytics is available through CocoaPods. To install it, add the following line to your Podfile:
pod 'StanwoodAnalytics'
This framework has has a base install that by default includes Fabric, Crashlytics, FirebaseAnalytics and TestFairy. Sub specs are defined for BugFender, Google Analytics and Mixpanel.
pod 'StanwoodAnalytics/Mixpanel'
pod 'StanwoodAnalytics/BugFender'
pod 'StanwoodAnalytics/Google'
If the project already has existing analytics frameworks, see the Updating a Project section.
Basic Configuration
Add the following code into the AppDelegate, or a helper class. Create a tracker with the builder helper class and add it to the analytics builder. Call the build() function to create the instance.
let testFairyKey = "abc123def456"
let fabricTracker = FabricTracker.FabricBuilder(context: application, key: nil).build()
let testFairyTracker = TestFairyTracker.TestFairyBuilder(context: application, key: testFairyKey).build()
let analyticsBuilder = StanwoodAnalytics.builder()
.add(tracker: fabricTracker)
.add(tracker: testFairyTracker)
analytics = analyticsBuilder.build()
GDPR Compliance
As of the 25th of May 2018, all companies have to comply with the EU rgulation on tracking personal data. Tracking is enabled by default and an application must provide a switch to disable it. If the application has a signup process, tracking must be disabled by default and allow a user to enable it.
analytics.setTracking(enable: Bool)
The framework stores the value of the switch internally in UserDefaults. Use the static function StanwoodAnalytics.trackingEnabled()
to read the current state, and update the switch accordingly. Do not call setTracking at startup, as this is done internally.
Firebase
The base install includes Firebase/Analytics and its dependencies so it is not necessary to define it in the Podfile.
The Firebase tracker has an optional init parameter to pass in the name of a configuration property list so as to support different configurations depending on the configuration being run (for debug, beta, release and so on).
For example, add a function in the application configuration struct:
static func firebaseConfigurationFileName() -> String {
#if DEBUG
return "FirebaseService-DEBUG-Info"
#else
return "FirebaseService-RELEASE-Info"
#endif
}
Then init the tracker with that function:
let firebaseTracker = FirebaseTracker.FirebaseBuilder(context: application, configFileName: Configuration.firebaseConfigurationFileName())
...
.add(tracker: firebaseTracker)
WARNING: If the application has a previous configuration for Firebase, remember to remove the call to FirebaseApp.configure() as it can only be called once, or the app will crash.
Google Analytics
pod 'StanwoodAnalytics/Google'
let googleTracker = GoogleAnalyticsTracker.GoogleAnalyticsBuilder(context: application, key: googleTrackingKey).build()
...
.add(tracker: googleTracker)
Map Function
The tracker uses a default map function that can be replaced if required.
public protocol MapFunction {
func mapCategory(parameters: TrackingParameters) -> String?
func mapAction(parameters: TrackingParameters) -> String?
func mapLabel(parameters: TrackingParameters) -> String?
func mapScreenName(parameters: TrackingParameters) -> String?
func mapKeys(keys: TrackerKeys) -> [String:String]?
}
public struct GoogleMapFunction: MapFunction {
public func mapCategory(parameters: TrackingParameters) -> String? {
return parameters.eventName
}
public func mapAction(parameters: TrackingParameters) -> String? {
return parameters.name
}
public func mapLabel(parameters: TrackingParameters) -> String? {
return parameters.itemId
}
public func mapScreenName(parameters: TrackingParameters) -> String? {
if parameters.eventName.lowercased() == TrackingEvent.viewItem.rawValue.lowercased() {
return parameters.name
}
return nil
}
public func mapKeys(keys: TrackerKeys) -> [String:String]? {
return nil
}
}
A custom map function can be assigned in the GoogleAnalyticsBuilder.
If you need to track custom dimensions, first add the value into the GA web dashboard (Select Admin, then under Property (second column) select Custom Definitions, and then Custom Dimensions) and then use the index number as the key. Add this tracking code:
let index = YOUR-VALUE
var trackerKeys = TrackerKeys.init()
trackerKeys.customKeys = [String(describing:index):screenName]
analytics?.track(trackerKeys: trackerKeys)
Mixpanel
pod 'StanwoodAnalytics/Mixpanel'
let mixpanelTracker = MixpanelTracker.MixpanelBuilder(context: application, key: mixpanelToken).build()
...
.add(tracker: mixpanelTracker)
Notifications
This framework uses local notifications (iOS 10.0 +) to display events to help with debugging and verifying analytics logging. The analytics init function has an optional parameter that must conform to the UNUserNotificationCenterDelegate protocol.
First add an extension to a view controller:
extension ViewController: UNUserNotificationCenterDelegate {
func userNotificationCenter(_ center: UNUserNotificationCenter, willPresent notification: UNNotification, withCompletionHandler completionHandler: @escaping (UNNotificationPresentationOptions) -> Void) {
completionHandler([.alert])
}
func userNotificationCenter(_ center: UNUserNotificationCenter, didReceive response: UNNotificationResponse, withCompletionHandler completionHandler: @escaping () -> Void) {
let alert = UIAlertController(title: "Tracker Alert", message: "We have tracking for this event", preferredStyle: .alert)
let action = UIAlertAction(title: "Thanks!", style: .default, handler: nil)
alert.addAction(action)
present(alert, animated: true, completion: nil)
completionHandler()
}
}
Then pass this object as a parameter to the init.
let window = application.windows.first
let viewController = window?.rootViewController
analytics = analyticsBuilder.setNotificationDelegate(delegate: viewController!).build()
It is useful to only enable the notifications for debug / testing. Ensure they are not visible in release builds.
BugFender
In the Podfile add:
pod 'StanwoodAnalytics/BugFender'
Then in the tracking class:
let bugFenderKey = "abcdef"
let bugfenderTracker = BugfenderTracker.BugfenderBuilder(context: application, key: bugFenderKey)
.setUIEventLogging(enable: true)
.build()
...
.add(tracker: bugfenderTracker)
Analytics Tracking API Functions
The 4 functions for tracking are:
func track(trackingParameters: TrackingParameters)
func track(trackerKeys: TrackerKeys)
func trackScreen(name: String, className: String? = nil)
func track(error: NSError)
where TrackingParameters and TrackerKeys are structs.
TrackingParameters
let eventName: String
var itemId: String?
var name: String?
var description: String?
var category: String?
var contentType: String?
TrackerKeys
This struct contains a single mutable dictionary [String:Any]. It should be used to set custom keys and values.
Updating Analytics in Existing Projects
If Fabric and Crashltyics are already in use in a project, it is necessary to remove the pods from the Podfile, and remove any import statements in the project source code. Also check for references of Crashlytics in the code - they should all be removed first before adding Stanwood Analytics. Made sure the app compiles and runs for a few minutes. If the app previously has integrations with Firebase, remove the call to FirebaseApp.configure() or it will crash. There can only be one call to this function.
# Remove all of these pods.
pod 'Fabric'
pod 'Crashlytics'
pod 'Firebase'
pod 'Firebase/Core'
pod 'Firebase/Analytics'
pod 'BugfenderSDK'
pod 'TestFairy'
pod 'GoogleAnalytics'
pod 'Mixpanel'
See the example project on how to replace the calls to Fabric/Crashlytics with the new analytics framework.
IMPORTANT: If you get linker errors when compiling the app, check the build settings OTHER LINKER FLAGS in the project and ensure that any references to Crashlytics and Fabric are removed.
If you still experience problems with Fabric, first try to remove all references to it in the project and get it to run, and then add the framework again.
iOS9 Support
As local notifications are used for help in debugging analytics tracking, and this is using an iOS 10 API, since a few projects are not updated just yet there is a compatibility branch.
pod 'StanwoodAnalytics', git: 'git@github.com:stanwood/Stanwood_Analytics_iOS.git', branch: 'hotfix/iOS9-Compatibility'
Release Notes
1.0.1: Updating the example project and readme to reflect changes in the API for 0.9 onwards.
1.0.0: Release candidate. Removing keys for all the frameworks. Added code to prevent crashes when the configuration for Firebase and Fabric are not prevent.
0.11.0: Added internal support for FirebaseTracker. Added internal changes to setTracking to start the tracking frameworks when the state changes from off to on when the application started with tracking off.
0.10.1 - 0.10.9: Bug fixes.
0.10.0: Added support for an alert to give a warning when disabling tracking.
0.9.2: Update build version push out changes.
0.9.1: Fixed compiler warnings for FirebaseTracker.
0.9.0: Added support for enable and disable tracking for GDPR compliance.
0.8.0: Mixpanel is fully integrated into the release. Google Analytics support extended to include custom dimensions. Fixed issues with GA after updating to CocoaPods 1.5.0. TestFairy is part of the base install.
0.7.1: Added support for Google Analytics custom dimensions. In BugFender tracker, made the parameter optional. Updated:
customParameters: [String:Any]
0.7.0: Added basic support for both Google Analytics and Mixpanel.
0.6.0: Removed FirebaseAnalytics and embedded frameworks.
0.5.0: Fixed issues with dependencies for Firebase
0.4.5: Added UserNotifications as a framework dependency
0.4.4: Updated the example project.
0.4.3: Made screen class parameter optional in trackScreen.
0.4.2: Added trackScreen function to StanwoodAnalytics class.
open func trackScreen(name: String, className: String)
0.4.1: Updated FirebaseTracker to call Analytics.setScreenName().
0.4.0: Added notification to help with debugging analytics tracking. This requires a min of iOS 10.
Author
Ronan O Ciosoig<EMAIL_ADDRESS>License
StanwoodAnalytics is under MIT licence. See the LICENSE file for more info.
Troubleshooting
Compile error
Undefined symbols for architecture x86_64:
"_kFIRServiceRemoteConfig", referenced from:
-[FIRRemoteConfig(FIRApp) configureConfig:] in FirebaseRemoteConfig(FIRRemoteConfig+FIRApp_090f076533867dc11958284cd1b529ac.o)
"_kServiceInfoFileName", referenced from:
-[FIRRemoteConfig(FIRApp) configureConfig:] in FirebaseRemoteConfig(FIRRemoteConfig+FIRApp_090f076533867dc11958284cd1b529ac.o)
"_kServiceInfoFileType", referenced from:
-[FIRRemoteConfig(FIRApp) configureConfig:] in FirebaseRemoteConfig(FIRRemoteConfig+FIRApp_090f076533867dc11958284cd1b529ac.o)
Ensure that the Podfile includes pod Firebase/Analytics
Linker Error
ld: framework not found Fabric for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
This can be a few things, but first try to remove all references to the analytics framework from the project, and get it to compile. Then add the pod, then code back again.
Firebase Crash signal SIGABRT
The application crashes on calling FirebaseApp.configure()
Ensure that there is only one call to this function. If Firebase was previously used in the app before adding the analytics framework, remove the reference first.
Also check that the bundle Id matches the one specified in the GoogleServices info.plist.
Framework Compile errors
With the update in CocoaPods 1.5.0 came some other compile erorrs. The solution was to delete the Xcode preferences.
cd ~/Library/Preferences
ls -l | grep xcode -i
rm com.apple.dt.xcodebuild.plist


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XML Overview


Gelfand: Aside 1 - Proofs!?!?!
February 15, 2017
In the last few problems in the Factorials section of Gelfand he asks you to “prove” things. I wasn’t sure how to approach this. Up until now I’ve just been “solving”. This post catalogs the process of my working this out.I’m certain that the philosophy of proofs is far more complex than I am about to cover here. In fact I have another book to read at some point in the future which links Haskell, Mathematics, and the construction and use of Proofs. It all means I’ll probably post again at some point in the future on this topic.
A First Stab at a Proof
Let’s dive straight into the first problem - Problem 123.
Prove that if then .
Now on it’s own, I initially had no idea how to approach this. But we get a clue. Gelfand suggests we “factor ”. You can see in here that the component parts have clearly come from the original formula which we need to prove.
Let’s factor using our new-found skills.
Hmmm, not like anything we’ve seen before really. And not much to do. Perhaps if we simply remove the brackets
and re-arrange
Does that look a little like a kind-of-polynomial? (I.e. like - I was happy to have a go to this point without reference to Durham). Let’s try it and see. If it is, then we could do some nice factorisation on it, but with as our first and as our second. That gives us this
Is that right? Sometimes I doubt myself. Let’s quickly multiply it back out to check.
Awesome!
Now what do we need to do? Well, the problem requires that we prove that when and are both greater than one, then . If we look at our factorisation, we can easily see that when and are greater than one we get a positive result. If either or both are less than or equal to one then we get a zero or negative result. That’s the point of the factorisation I deduce.
So, at this point, it kind of felt like we’ve proved this, but the issue here is still the leap made at the start - how were we to know that doing such a factorisation would lead us to this factorisation and therefore to the proof? Let’s look back at the problem and the thing to factor.
The first step of the transformation from this statement into the expression we want to factor is the simple addition of brackets:
And subsequent to this there is the effective moving of the right hand side across to the left hand side (with corresponding change in sign from positive to negative.)
I pondered this next bit for a while. (In fact I stopped writing this, went off and did other things, and have now come back 24 hours later.) (Note, I dropped the “” bit as it no longer served any purpose for us. Nigglingly, when we bring it back later in this section, the direction of the symbol changes, but I have looked at both versions every which way and both seem valid and correct in the circumstances they are being used. To reconcile this in my head I had to remember there will be times when would be equalt to zero, times when it would be less than zero, and times when it would be greater than zero - in each case based entirely on the input values for and .)
Moving on from this very difference, there are two significant elements in our question which we need to acknowledge.
- we have a in our starting point rather than an
- we have a statement: “if then …” that our starting formula has applied to it
Unlike in everything we’ve done previously, we’re now looking at a problem of the type “when something is the case, then something else is also the case.” Can we do anything with that?
In our situation, if one thing is to be greater than another, then to be true, when you subtract the bigger thing from the smaller thing (i.e. move the bigger thing from it’s side of the equation to the same side as the smaller thing) then the result will be less than zero.
Or to put it more clearly in a symbolic fashion
And you then test it by putting in values for a and b which meet the criteria .
Which is correct as is indeed less than .
So how do we take this back to our problem? We know, because we followed mathematical rules when we factored, that and are equivalent. We are now in the position to put back in our less-than statement and test our conjecture.
when
Now we can see why our factoring helped. It’s obvious from the new-found clarity, that if either or (or both) are less than then the result will be less than zero. But that if both and are greater than zero then the product will be greater than zero too. That clarity is why it’s a proof; because the finding is undeniable.
Next Stab - Problem 124
This one looks a bit easier. No “greater than” or “less than” symbols.
Let’s write out our starting point first
And then bring in the factoring of to look at side-by-side as suggested by Gelfand.
Hmmm, there is a direct match in there - the first part of the factored output is the same as our proof starting point.
But what does this mean? I’ll admit I had to cheat and read Durham here. He then combines the two, so I’ll do the same (remember that in our case )
That rules-wise makes sense, but what am I doing here? (What is anyone doing here?)
- We’re aiming to find out the circumstances when . OK.
- We’ve now seen that this forms a part of a factoring of . OK.
What I missed was looking at the . Now when is this zero? This is zero whenever . Nice. And it’s even distilled for us in the remainder of the factored result - - which is zero again whenever .
Combined, that’s the echo of a future solution-reason calling me, and enough to move forward.
So do we have our proof with this alone? Again I think you could stop at this point, given where we are in the Gelfand-journey.I might come back to this in an update to this post sometime. Durham however goes further. He then analyses directly. I encourage you to take a look and see what you can glean.
Problem 125
Prove that if then
First step is again to see have we seen any of this (or parts of this) before?
We have. Problem 122(d) had this:
How did we factor that? Well, I looked back and I didn’t - I just fell back on Durham (even he thought it was hard.) So what does his factoring give us? There we saw that .
We can work with that, so, when
Proved.
Tricks Arising
Look for the Same Pattern in Things You Know (Beyond the Standard Short-Cut Formulas)
Many of the solutions to the proof-problems in this post have involved looking back to what we have seen worked previously. It makes the clear (but possibly not self-evident) point that anything can be a pattern to match on. The short-cut formulas are key ones because they pop up a lot, but others work in just the same way, by giving you a sudden jump into a well-worn path to differently formed expressions and perhaps further leaps.
Some Kind of a Conclusion
I’m going to be honest and state that I’m still not 100% certain as to the difference between a solution and a proof. It’ll get clearer I’m sure and I’ll come back here and update this when I get something more pithy.
Suffice to say, I’m currently under the impression that for something to be a “proof”, you need to be able to get from your starting point, using only allowable mathematical manipulations, to something which allows you to state unequivocally that the proposition you need to make is true (and is the only thing that can be true).
Having written it out, that actually seems quite correct. I’m guessing there is also the ideal which I shoudl be aiming for which is something which is “simple” , and in that aspect I would guess that “simple” is an end result where things are plain as day, or where the steps taken to get there are few and direct.
I might come back to this too.
You can now jump to th enext post which is another aside, this time on the Binary Number System, or you can skip it and move on to Chunk 13 - Rational Expressions.


Method Return Types
The return type can be any serializable POJO as defined in {@doc PojoCategories}.
It can also be void if the method is not sending any output (e.g. a request redirect) or is
setting the output using the {@link oajr.RestResponse#setOutput(Object)} method.
@RestMethod(name=GET)
public String doGet() {
return "Hello World!";
}
Out-of-the-box, besides POJOs, the following return types are handled as special cases:
- {@link java.io.InputStream}
The contents are simply piped to the output stream returned by
{@link oajr.RestResponse#getNegotiatedOutputStream()}.
Note that you should call {@link oajr.RestResponse#setContentType(String)} to set
the Content-Type header if you use this object type.
- {@link java.io.Reader}
The contents are simply piped to the output stream returned by
{@link oajr.RestResponse#getNegotiatedWriter()}.
Note that you should call {@link oajr.RestResponse#setContentType(String)} to set
the Content-Type header if you use this object type.
- {@link oaj.Streamable}
Interface that identifies that an object can be serialized directly to an output stream.
- {@link oaj.Writable}
Interface that identifies that an object can be serialized directly to a writer.
- {@link oaj.utils.ZipFileList}
Special interface for sending zip files as responses.
This is controlled through the following extensible API:
- {@link oajr.ResponseHandler}
- {@link oajr.reshandlers.DefaultHandler}
- {@link oajr.reshandlers.InputStreamHandler}
- {@link oajr.reshandlers.ReaderHandler}
REST Java methods can generate output in any of the following ways:
-
By returning a serializable POJO, or any of the following:
{@link java.io.Reader}, {@link java.io.InputStream}, {@link oaj.Streamable},
{@link oaj.Writable}
-
By calling {@link oajr.RestResponse#setOutput(Object)} with any of the types above.
-
By accessing the {@link java.io.Writer} directly by calling
{@link oajr.RestResponse#getNegotiatedWriter()} and writing the output yourself.
// Equivalent method 1
@RestMethod(name=GET, path="/example1/{personId}")
public Person doGet1(@Path("personId") UUID personId) {
Person p = getPersonById(personId);
return p;
}
// Equivalent method 2
@RestMethod(name=GET, path="/example2/{personId}")
public void doGet2(RestResponse res, @Path("personId") UUID personId) {
Person p = getPersonById(personId);
res.setOutput(p);
}
// (Sorta) Equivalent method 3
// (Ignores any converters or method-level properties)
@RestMethod(name=GET, path="/example3/{personId}")
public void doGet3(RestRequest req, RestResponse res, @Path("personId") UUID personId) {
Person p = getPersonById(personId);
String accept = req.getHeader("Accept", "text/json");
WriterSerializer s = res.getSerializerGroup().getWriterSerializer(accept);
res.setContentType(s.getResponseContentType());
s.serialize(p, res.getNegotiatedWriter());
}
See Also:
- {@link oajr.RestContext#REST_responseHandlers} - For configuring custom response handlers.


This function executes a large set of SQL statements against the database in OMOP CDM format to extract the data needed to perform the analysis.
getPlpData(connectionDetails, cdmDatabaseSchema, oracleTempSchema = cdmDatabaseSchema, cohortId, outcomeIds, studyStartDate = "", studyEndDate = "", cohortDatabaseSchema = cdmDatabaseSchema, cohortTable = "cohort", outcomeDatabaseSchema = cdmDatabaseSchema, outcomeTable = "cohort", cdmVersion = "5", firstExposureOnly = FALSE, washoutPeriod = 0, sampleSize = NULL, covariateSettings, excludeDrugsFromCovariates = FALSE, baseUrl = NULL)
| connectionDetails | An R object of type |
|---|---|
| cdmDatabaseSchema | The name of the database schema that contains the OMOP CDM instance. Requires read permissions to this database. On SQL Server, this should specifiy both the database and the schema, so for example 'cdm_instance.dbo'. |
| oracleTempSchema | For Oracle only: the name of the database schema where you want all temporary tables to be managed. Requires create/insert permissions to this database. |
| cohortId | A unique identifier to define the at risk cohort. If cohortTable = DRUG_ERA, cohortId is a CONCEPT_ID and all descendant concepts within that CONCEPT_ID will be used to define the cohort. If cohortTable <> DRUG_ERA, cohortId is used to select the cohort_concept_id in the cohort-like table. |
| outcomeIds | A list of cohort_definition_ids used to define outcomes (-999 mean no outcome gets downloaded). |
| studyStartDate | A calendar date specifying the minimum date that a cohort index date can appear. Date format is 'yyyymmdd'. |
| studyEndDate | A calendar date specifying the maximum date that a cohort index date can appear. Date format is 'yyyymmdd'. Important: the study end data is also used to truncate risk windows, meaning no outcomes beyond the study end date will be considered. |
| cohortDatabaseSchema | The name of the database schema that is the location where the cohort data used to define the at risk cohort is available. If cohortTable = DRUG_ERA, cohortDatabaseSchema is not used by assumed to be cdmSchema. Requires read permissions to this database. |
| cohortTable | The tablename that contains the at risk cohort. If cohortTable <> DRUG_ERA, then expectation is cohortTable has format of COHORT table: cohort_concept_id, SUBJECT_ID, COHORT_START_DATE, COHORT_END_DATE. |
| outcomeDatabaseSchema | The name of the database schema that is the location where the data used to define the outcome cohorts is available. If cohortTable = CONDITION_ERA, exposureDatabaseSchema is not used by assumed to be cdmSchema. Requires read permissions to this database. |
| outcomeTable | The tablename that contains the outcome cohorts. If outcomeTable <> CONDITION_OCCURRENCE, then expectation is outcomeTable has format of COHORT table: COHORT_DEFINITION_ID, SUBJECT_ID, COHORT_START_DATE, COHORT_END_DATE. |
| cdmVersion | Define the OMOP CDM version used: currently support "4" and "5". |
| firstExposureOnly | Should only the first exposure per subject be included? Note that
this is typically done in the |
| washoutPeriod | The mininum required continuous observation time prior to index
date for a person to be included in the at risk cohort. Note that
this is typically done in the |
| sampleSize | If not NULL, only this number of people will be sampled from the target population (Default NULL) |
| covariateSettings | An object of type |
| excludeDrugsFromCovariates | A redundant option |
| baseUrl | If extracting cohorts from atlas enter atlas url to extract cohort creation details |
Returns an object of type plpData
, containing information on the cohorts, their
outcomes, and baseline covariates. Information about multiple outcomes can be captured at once for
efficiency reasons. This object is a list with the following components:
A data frame listing the outcomes per person, including the time to event, and the outcome id. Outcomes are not yet filtered based on risk window, since this is done at a later stage.
A data frame listing the persons in each cohort, listing their exposure status as well as the time to the end of the observation period and time to the end of the cohort (usually the end of the exposure era).
An ffdf object listing the baseline covariates per person in the two cohorts. This is done using a sparse representation: covariates with a value of 0 are omitted to save space.
An ffdf object describing the covariates that have been extracted.
A list of objects with information on how the cohortMethodData object was constructed.
The generic ()
and summary()
functions have been implemented for this object.
Based on the arguments, the at risk cohort data is retrieved, as well as outcomes
occurring in these subjects. The at risk cohort is identified through
user-defined cohorts in a cohort table either inside the CDM instance or in a separate schema.
Similarly, outcomes are identified
through user-defined cohorts in a cohort table either inside the CDM instance or in a separate
schema. Covariates are automatically extracted from the appropriate tables within the CDM.
If you wish to exclude concepts from covariates you will need to
manually add the concept_ids and descendants to the excludedCovariateConceptIds
of the
covariateSettings
argument.


Enumerations
An enumeration defines a common type for a group of related values and enables you to work with those values in a type-safe way within your code.
If you are familiar with C, you will know that C enumerations assign related names to a set of integer values. Enumerations in Swift are much more flexible, and do not have to provide a value for each case of the enumeration. If a value (known as a “raw” value) is provided for each enumeration case, the value can be a string, a character, or a value of any integer or floating-point type.
Alternatively, enumeration cases can specify associated values of any type to be stored along with each different case value, much as unions or variants do in other languages. You can define a common set of related cases as part of one enumeration, each of which has a different set of values of appropriate types associated with it.
Enumerations in Swift are first-class types in their own right. They adopt many features traditionally supported only by classes, such as computed properties to provide additional information about the enumeration’s current value, and instance methods to provide functionality related to the values the enumeration represents. Enumerations can also define initializers to provide an initial case value; can be extended to expand their functionality beyond their original implementation; and can conform to protocols to provide standard functionality.
For more on these capabilities, see Properties, Methods, Initialization, Extensions, and Protocols.
Enumeration Syntax
You introduce enumerations with the enum
keyword and place their entire definition within a pair of braces:
enum SomeEnumeration {
// enumeration definition goes here
}
Here’s an example for the four main points of a compass:
enum CompassPoint {
case north
case south
case east
case west
}
The values defined in an enumeration (such as north
, south
, east
, and west
) are its enumeration cases. You use the case
keyword to introduce new enumeration cases.
Multiple cases can appear on a single line, separated by commas:
enum Planet {
case mercury, venus, earth, mars, jupiter, saturn, uranus, neptune
}
Each enumeration definition defines a brand new type. Like other types in Swift, their names (such as CompassPoint
and Planet
) should start with a capital letter. Give enumeration types singular rather than plural names, so that they read as self-evident:
var directionToHead = CompassPoint.west
The type of directionToHead
is inferred when it is initialized with one of the possible values of CompassPoint
. Once directionToHead
is declared as a CompassPoint
, you can set it to a different CompassPoint
value using a shorter dot syntax:
directionToHead = .east
The type of directionToHead
is already known, and so you can drop the type when setting its value. This makes for highly readable code when working with explicitly typed enumeration values.
Matching Enumeration Values with a Switch Statement
You can match individual enumeration values with a switch
statement:
directionToHead = .south
switch directionToHead {
case .north:
print("Lots of planets have a north")
case .south:
print("Watch out for penguins")
case .east:
print("Where the sun rises")
case .west:
print("Where the skies are blue")
}
// Prints "Watch out for penguins"
You can read this code as:
“Consider the value of directionToHead
. In the case where it equals .north
, print "Lots of planets have a north"
. In the case where it equals .south
, print "Watch out for penguins"
.”
…and so on.
As described in Control Flow, a switch
statement must be exhaustive when considering an enumeration’s cases. If the case
for .west
is omitted, this code does not compile, because it does not consider the complete list of CompassPoint
cases. Requiring exhaustiveness ensures that enumeration cases are not accidentally omitted.
When it is not appropriate to provide a case
for every enumeration case, you can provide a default
case to cover any cases that are not addressed explicitly:
let somePlanet = Planet.earth
switch somePlanet {
case .earth:
print("Mostly harmless")
default:
print("Not a safe place for humans")
}
// Prints "Mostly harmless"
Associated Values
The examples in the previous section show how the cases of an enumeration are a defined (and typed) value in their own right. You can set a constant or variable to Planet.earth
, and check for this value later. However, it is sometimes useful to be able to store associated values of other types alongside these case values. This enables you to store additional custom information along with the case value, and permits this information to vary each time you use that case in your code.
You can define Swift enumerations to store associated values of any given type, and the value types can be different for each case of the enumeration if needed. Enumerations similar to these are known as discriminated unions, tagged unions, or variants in other programming languages.
For example, suppose an inventory tracking system needs to track products by two different types of barcode. Some products are labeled with 1D barcodes in UPC format, which uses the numbers 0
to 9
. Each barcode has a “number system” digit, followed by five “manufacturer code” digits and five “product code” digits. These are followed by a “check” digit to verify that the code has been scanned correctly:
Other products are labeled with 2D barcodes in QR code format, which can use any ISO 8859-1 character and can encode a string up to 2,953 characters long:
It would be convenient for an inventory tracking system to be able to store UPC barcodes as a tuple of four integers, and QR code barcodes as a string of any length.
In Swift, an enumeration to define product barcodes of either type might look like this:
enum Barcode {
case upc(Int, Int, Int, Int)
case qrCode(String)
}
This can be read as:
“Define an enumeration type called Barcode
, which can take either a value of upc
with an associated value of type (Int
, Int
, Int
, Int
), or a value of qrCode
with an associated value of type String
.”
This definition does not provide any actual Int
or String
values—it just defines the type of associated values that Barcode
constants and variables can store when they are equal to Barcode.upc
or Barcode.qrCode
.
New barcodes can then be created using either type:
var productBarcode = Barcode.upc(8, 85909, 51226, 3)
This example creates a new variable called productBarcode
and assigns it a value of Barcode.upc
with an associated tuple value of (8, 85909, 51226, 3)
.
The same product can be assigned a different type of barcode:
productBarcode = .qrCode("ABCDEFGHIJKLMNOP")
At this point, the original Barcode.upc
and its integer values are replaced by the new Barcode.qrCode
and its string value. Constants and variables of type Barcode
can store either a .upc
or a .qrCode
(together with their associated values), but they can only store one of them at any given time.
The different barcode types can be checked using a switch statement, as before. This time, however, the associated values can be extracted as part of the switch statement. You extract each associated value as a constant (with the let
prefix) or a variable (with the var
prefix) for use within the switch
case’s body:
switch productBarcode {
case .upc(let numberSystem, let manufacturer, let product, let check):
print("UPC: \(numberSystem), \(manufacturer), \(product), \(check).")
case .qrCode(let productCode):
print("QR code: \(productCode).")
}
// Prints "QR code: ABCDEFGHIJKLMNOP."
If all of the associated values for an enumeration case are extracted as constants, or if all are extracted as variables, you can place a single var
or let
annotation before the case name, for brevity:
switch productBarcode {
case let .upc(numberSystem, manufacturer, product, check):
print("UPC : \(numberSystem), \(manufacturer), \(product), \(check).")
case let .qrCode(productCode):
print("QR code: \(productCode).")
}
// Prints "QR code: ABCDEFGHIJKLMNOP."
Raw Values
The barcode example in Associated Values shows how cases of an enumeration can declare that they store associated values of different types. As an alternative to associated values, enumeration cases can come prepopulated with default values (called raw values), which are all of the same type.
Here’s an example that stores raw ASCII values alongside named enumeration cases:
enum ASCIIControlCharacter: Character {
case tab = "\t"
case lineFeed = "\n"
case carriageReturn = "\r"
}
Here, the raw values for an enumeration called ASCIIControlCharacter
are defined to be of type Character
, and are set to some of the more common ASCII control characters. Character
values are described in Strings and Characters.
Raw values can be strings, characters, or any of the integer or floating-point number types. Each raw value must be unique within its enumeration declaration.
Implicitly Assigned Raw Values
When you’re working with enumerations that store integer or string raw values, you don’t have to explicitly assign a raw value for each case. When you don’t, Swift will automatically assign the values for you.
For instance, when integers are used for raw values, the implicit value for each case is one more than the previous case. If the first case doesn’t have a value set, its value is 0
.
The enumeration below is a refinement of the earlier Planet
enumeration, with integer raw values to represent each planet’s order from the sun:
enum Planet: Int {
case mercury = 1, venus, earth, mars, jupiter, saturn, uranus, neptune
}
In the example above, Planet.mercury
has an explicit raw value of 1
, Planet.venus
has an implicit raw value of 2
, and so on.
When strings are used for raw values, the implicit value for each case is the text of that case’s name.
The enumeration below is a refinement of the earlier CompassPoint
enumeration, with string raw values to represent each direction’s name:
enum CompassPoint: String {
case north, south, east, west
}
In the example above, CompassPoint.south
has an implicit raw value of "south"
, and so on.
You access the raw value of an enumeration case with its rawValue
property:
let earthsOrder = Planet.earth.rawValue
// earthsOrder is 3
let sunsetDirection = CompassPoint.west.rawValue
// sunsetDirection is "west"
Initializing from a Raw Value
If you define an enumeration with a raw-value type, the enumeration automatically receives an initializer that takes a value of the raw value’s type (as a parameter called rawValue
) and returns either an enumeration case or nil
. You can use this initializer to try to create a new instance of the enumeration.
This example identifies Uranus from its raw value of 7
:
let possiblePlanet = Planet(rawValue: 7)
// possiblePlanet is of type Planet? and equals Planet.uranus
Not all possible Int
values will find a matching planet, however. Because of this, the raw value initializer always returns an optional enumeration case. In the example above, possiblePlanet
is of type Planet?
, or “optional Planet
.”
If you try to find a planet with a position of 11
, the optional Planet
value returned by the raw value initializer will be nil
:
let positionToFind = 11
if let somePlanet = Planet(rawValue: positionToFind) {
switch somePlanet {
case .earth:
print("Mostly harmless")
default:
print("Not a safe place for humans")
}
} else {
print("There isn't a planet at position \(positionToFind)")
}
// Prints "There isn't a planet at position 11"
This example uses optional binding to try to access a planet with a raw value of 11
. The statement if let somePlanet = Planet(rawValue: 11)
creates an optional Planet
, and sets somePlanet
to the value of that optional Planet
if it can be retrieved. In this case, it is not possible to retrieve a planet with a position of 11
, and so the else
branch is executed instead.
Recursive Enumerations
A recursive enumeration is an enumeration that has another instance of the enumeration as the associated value for one or more of the enumeration cases. You indicate that an enumeration case is recursive by writing indirect
before it, which tells the compiler to insert the necessary layer of indirection.
For example, here is an enumeration that stores simple arithmetic expressions:
enum ArithmeticExpression {
case number(Int)
indirect case addition(ArithmeticExpression, ArithmeticExpression)
indirect case multiplication(ArithmeticExpression, ArithmeticExpression)
}
You can also write indirect
before the beginning of the enumeration, to enable indirection for all of the enumeration’s cases that need it:
indirect enum ArithmeticExpression {
case number(Int)
case addition(ArithmeticExpression, ArithmeticExpression)
case multiplication(ArithmeticExpression, ArithmeticExpression)
}
This enumeration can store three kinds of arithmetic expressions: a plain number, the addition of two expressions, and the multiplication of two expressions. The addition
and multiplication
cases have associated values that are also arithmetic expressions—these associated values make it possible to nest expressions. For example, the expression (5 + 4) * 2
has a number on the right-hand side of the multiplication and another expression on the left-hand side of the multiplication. Because the data is nested, the enumeration used to store the data also needs to support nesting—this means the enumeration needs to be recursive. The code below shows the ArithmeticExpression
recursive enumeration being created for (5 + 4) * 2
:
let five = ArithmeticExpression.number(5)
let four = ArithmeticExpression.number(4)
let sum = ArithmeticExpression.addition(five, four)
let product = ArithmeticExpression.multiplication(sum, ArithmeticExpression.number(2))
A recursive function is a straightforward way to work with data that has a recursive structure. For example, here’s a function that evaluates an arithmetic expression:
func evaluate(_ expression: ArithmeticExpression) -> Int {
switch expression {
case let .number(value):
return value
case let .addition(left, right):
return evaluate(left) + evaluate(right)
case let .multiplication(left, right):
return evaluate(left) * evaluate(right)
}
}
print(evaluate(product))
// Prints "18"
This function evaluates a plain number by simply returning the associated value. It evaluates an addition or multiplication by evaluating the expression on the left-hand side, evaluating the expression on the right-hand side, and then adding them or multiplying them.
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Validating Kafka messages using serializers/deserializers in Java clients
Apicurio Registry provides client serializers/deserializers (SerDes) for Kafka producer and consumer applications written in Java. Kafka producer applications use serializers to encode messages that conform to a specific event schema. Kafka consumer applications use deserializers to validate that messages have been serialized using the correct schema, based on a specific schema ID. This ensures consistent schema use and helps to prevent data errors at runtime.
This chapter explains how to use Kafka client SerDes in your producer and consumer client applications:
-
You have read Introduction to Apicurio Registry
-
You have installed Apicurio Registry
-
You have created Kafka producer and consumer client applications
Kafka client applications and Apicurio Registry
Apicurio Registry decouples schema management from client application configuration. You can enable a Java client application to use a schema from Apicurio Registry by specifying its URL in your client code.
You can store the schemas in the registry to serialize and deserialize messages, which are referenced from your client applications to ensure that the messages that they send and receive are compatible with those schemas. Kafka client applications can push or pull their schemas from Apicurio Registry at runtime.
Schemas can evolve, so you can define rules in Apicurio Registry, for example, to ensure that schema changes are valid and do not break previous versions used by applications. Apicurio Registry checks for compatibility by comparing a modified schema with previous schema versions.
Apicurio Registry schema technologies
Apicurio Registry provides schema registry support for schema technologies such as:
-
Avro
-
Protobuf
-
JSON Schema
These schema technologies can be used by client applications through the Kafka client serializer/deserializer (SerDes) services provided by Apicurio Registry. The maturity and usage of the SerDes classes provided by Apicurio Registry might vary. The sections that follow provide more details about each schema type.
Producer schema configuration
A producer client application uses a serializer to put the messages that it sends to a specific broker topic into the correct data format.
To enable a producer to use Apicurio Registry for serialization:
-
Define and register your schema with Apicurio Registry (if it does not already exist).
-
Configure your producer client code with the following:
-
URL of Apicurio Registry
-
Apicurio Registry serializer to use with messages
-
Strategy to map the Kafka message to a schema artifact in Apicurio Registry
-
Strategy to look up or register the schema used for serialization in Apicurio Registry
-
After registering your schema, when you start Kafka and Apicurio Registry, you can access the schema to format messages sent to the Kafka broker topic by the producer. Alternatively, depending on configuration, the producer can automatically register the schema on first use.
If a schema already exists, you can create a new version using the registry REST API based on compatibility rules defined in Apicurio Registry. Versions are used for compatibility checking as a schema evolves. A group ID, artifact ID, and version represents a unique tuple that identifies a schema.
Consumer schema configuration
A consumer client application uses a deserializer to get the messages that it consumes from a specific broker topic into the correct data format.
To enable a consumer to use Apicurio Registry for deserialization:
-
Define and register your schema with Apicurio Registry (if it does not already exist)
-
Configure the consumer client code with the following:
-
URL of Apicurio Registry
-
Apicurio Registry deserializer to use with the messages
-
Input data stream for deserialization
-
By default, the schema is retrieved from Apicurio Registry by the deserializer using a global ID, which is specified in the message being consumed. The schema global ID can be located in the message headers or in the message payload, depending on the configuration of the producer application.
When locating the global ID in the message payload, the format of the data begins with a magic byte, used as a signal to consumers, followed by the global ID, and the message data as normal. For example:
# ...
[MAGIC_BYTE]
[GLOBAL_ID]
[MESSAGE DATA]
Then when you start Kafka and Apicurio Registry, you can access the schema to format messages received from the Kafka broker topic.
Alternatively, you can configure to retrieve schemas from Apicurio Registry based on the content ID, which is the unique ID of the artifact content. While the global ID is the unique ID of an artifact version.
The content ID does not uniquely identify a version, but uniquely identifies the version content only. If multiple versions share the exact same content, they have a different global ID but the same content ID. Confluent Schema Registry uses content ID by default.
Strategies to look up a schema in Apicurio Registry
The Kafka client serializer uses lookup strategies to determine the artifact ID and global ID under which the message schema is registered in Apicurio Registry. For a given topic and message, you can use different implementations of the ArtifactReferenceResolverStrategy
Java interface to return a reference to an artifact in the registry.
The classes for each strategy are in the io.apicurio.registry.serde.strategy
package. Specific strategy classes for Avro SerDes are in the io.apicurio.registry.serde.avro.strategy package
. The default strategy is the TopicIdStrategy
, which looks for Apicurio Registry artifacts with the same name as the Kafka topic receiving messages.
public ArtifactReference artifactReference(String topic, boolean isKey, T schema) {
return ArtifactReference.builder()
.groupId(null)
.artifactId(String.format("%s-%s", topic, isKey ? "key" : "value"))
.build();
-
The
topic
parameter is the name of the Kafka topic receiving the message. -
The
isKey
parameter istrue
when the message key is serialized, andfalse
when the message value is serialized. -
The
schema
parameter is the schema of the message serialized or deserialized. -
The
ArtifactReference
returned contains the artifact ID under which the schema is registered.
Which lookup strategy you use depends on how and where you store your schema. For example, you might use a strategy that uses a record ID if you have different Kafka topics with the same Avro message type.
Artifact resolver strategy
The artifact resolver strategy provides a way to map the Kafka topic and message information to an artifact in Apicurio Registry. The common convention for the mapping is to combine the Kafka topic name with the key
or value
, depending on whether the serializer is used for the Kafka message key or value.
However, you can use alternative conventions for the mapping by using a strategy provided by Apicurio Registry, or by creating a custom Java class that implements io.apicurio.registry.serde.strategy.ArtifactReferenceResolverStrategy
.
Strategies to return a reference to an artifact
Apicurio Registry provides the following strategies to return a reference to an artifact based on an implementation of ArtifactReferenceResolverStrategy
:
RecordIdStrategy
-
Avro-specific strategy that uses the full name of the schema.
TopicRecordIdStrategy
-
Avro-specific strategy that uses the topic name and the full name of the schema.
TopicIdStrategy
-
Default strategy that uses the topic name and
key
orvalue
suffix. SimpleTopicIdStrategy
-
Simple strategy that only uses the topic name.
DefaultSchemaResolver interface
The default schema resolver locates and identifies the specific version of the schema registered under the artifact reference provided by the artifact resolver strategy. Every version of every artifact has a single globally unique identifier that can be used to retrieve the content of that artifact. This global ID is included in every Kafka message so that a deserializer can properly fetch the schema from Apicurio Registry.
The default schema resolver can look up an existing artifact version, or it can register one if not found, depending on which strategy is used. You can also provide your own strategy by creating a custom Java class that implements io.apicurio.registry.resolver.SchemaResolver
. However, it is recommended to use the DefaultSchemaResolver
and specify configuration properties instead.
Configuration for registry lookup options
When using the DefaultSchemaResolver
, you can configure its behavior using application properties. The following table shows some commonly used examples:
| Property | Type | Description | Default |
|---|---|---|---|
|
|
Specify whether the serializer tries to find the latest artifact in the registry for the corresponding group ID and artifact ID. |
|
|
|
Instructs the serializer to write the specified ID to Kafka and instructs the deserializer to use this ID to find the schema. |
None |
|
|
Specify whether the serializer tries to create an artifact in the registry. The JSON Schema serializer does not support this. |
|
|
|
Specify how long to cache the global ID in milliseconds. If not configured, the global ID is fetched every time. |
None |
Registering a schema in Apicurio Registry
After you have defined a schema in the appropriate format, such as Apache Avro, you can add the schema to Apicurio Registry.
You can add the schema using the following approaches:
-
Apicurio Registry web console
-
curl command using the Apicurio Registry REST API
-
Maven plug-in supplied with Apicurio Registry
-
Schema configuration added to your client code
Client applications cannot use Apicurio Registry until you have registered your schemas.
Apicurio Registry web console
When Apicurio Registry is installed, you can connect to the web console from the ui
endpoint:
http://MY-REGISTRY-URL/ui
From the console, you can add, view and configure schemas. You can also create the rules that prevent invalid content being added to the registry.
Curl command example
curl -X POST -H "Content-type: application/json; artifactType=AVRO" \
-H "X-Registry-ArtifactId: share-price" \ (1)
--data '{
"type":"record",
"name":"price",
"namespace":"com.example",
"fields":[{"name":"symbol","type":"string"},
{"name":"price","type":"string"}]}'
https://my-cluster-my-registry-my-project.example.com/apis/registry/v2/groups/my-group/artifacts -s (2)
| 1 | Simple Avro schema artifact. |
| 2 | OpenShift route name that exposes Apicurio Registry. |
Maven plug-in example
<plugin>
<groupId>io.apicurio</groupId>
<artifactId>apicurio-registry-maven-plugin</artifactId>
<version>${apicurio.version}</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>register</goal> (1)
</goals>
<configuration>
<registryUrl>http://REGISTRY-URL/apis/registry/v2</registryUrl> (2)
<artifacts>
<artifact>
<groupId>TestGroup</groupId> (3)
<artifactId>FullNameRecord</artifactId>
<file>${project.basedir}/src/main/resources/schemas/record.avsc</file>
<ifExists>FAIL</ifExists>
</artifact>
<artifact>
<groupId>TestGroup</groupId>
<artifactId>ExampleAPI</artifactId> (4)
<type>GRAPHQL</type>
<file>${project.basedir}/src/main/resources/apis/example.graphql</file>
<ifExists>RETURN_OR_UPDATE</ifExists>
<canonicalize>true</canonicalize>
</artifact>
</artifacts>
</configuration>
</execution>
</executions>
</plugin>
| 1 | Specify register as the execution goal to upload the schema artifact to the registry. |
| 2 | Specify the Apicurio Registry URL with the ../apis/registry/v2 endpoint. |
| 3 | Specify the Apicurio Registry artifact group ID. |
| 4 | You can upload multiple artifacts using the specified group ID, artifact ID, and location. |
Configuration using a producer client example
String registryUrl_node1 = PropertiesUtil.property(clientProperties, "registry.url.node1",
"https://my-cluster-service-registry-myproject.example.com/apis/registry/v2"); (1)
try (RegistryService service = RegistryClient.create(registryUrl_node1)) {
String artifactId = ApplicationImpl.INPUT_TOPIC + "-value";
try {
service.getArtifactMetaData(artifactId); (2)
} catch (WebApplicationException e) {
CompletionStage <ArtifactMetaData> csa = service.createArtifact(
ArtifactType.AVRO,
artifactId,
new ByteArrayInputStream(LogInput.SCHEMA$.toString().getBytes())
);
csa.toCompletableFuture().get();
}
}
| 1 | You can register properties against more than one URL node. |
| 2 | Check to see if the schema already exists based on the artifact ID. |
Using a schema from a Kafka consumer client
This procedure describes how to configure a Kafka consumer client written in Java to use a schema from Apicurio Registry.
-
Apicurio Registry is installed
-
The schema is registered with Apicurio Registry
-
Configure the client with the URL of Apicurio Registry. For example:
String registryUrl = "https://registry.example.com/apis/registry/v2"; Properties props = new Properties(); props.putIfAbsent(SerdeConfig.REGISTRY_URL, registryUrl);
-
Configure the client with the Apicurio Registry deserializer. For example:
// Configure Kafka settings props.putIfAbsent(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, SERVERS); props.putIfAbsent(ConsumerConfig.GROUP_ID_CONFIG, "Consumer-" + TOPIC_NAME); props.putIfAbsent(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true"); props.putIfAbsent(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000"); props.putIfAbsent(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest"); // Configure deserializer settings props.putIfAbsent(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, AvroKafkaDeserializer.class.getName()); (1) props.putIfAbsent(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, AvroKafkaDeserializer.class.getName()); (2)
1 The deserializer provided by Apicurio Registry. 2 The deserialization is in Apache Avro JSON format.
Using a schema from a Kafka producer client
This procedure describes how to configure a Kafka producer client written in Java to use a schema from Apicurio Registry.
-
Apicurio Registry is installed
-
The schema is registered with Apicurio Registry
-
Configure the client with the URL of Apicurio Registry. For example:
String registryUrl = "https://registry.example.com/apis/registry/v2"; Properties props = new Properties(); props.putIfAbsent(SerdeConfig.REGISTRY_URL, registryUrl);
-
Configure the client with the serializer, and the strategy to look up the schema in Apicurio Registry. For example:
props.put(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG, "my-cluster-kafka-bootstrap:9092"); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, AvroKafkaSerializer.class.getName()); (1) props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, AvroKafkaSerializer.class.getName()); (2) props.put(SerdeConfig.FIND_LATEST_ARTIFACT, Boolean.TRUE); (3)
1 The serializer for the message key provided by Apicurio Registry. 2 The serializer for the message value provided by Apicurio Registry. 3 The lookup strategy to find the global ID for the schema.
Using a schema from a Kafka Streams application
This procedure describes how to configure a Kafka Streams client written in Java to use an Apache Avro schema from Apicurio Registry.
-
Apicurio Registry is installed
-
The schema is registered with Apicurio Registry
-
Create and configure a Java client with the Apicurio Registry URL:
String registryUrl = "https://registry.example.com/apis/registry/v2"; RegistryService client = RegistryClient.cached(registryUrl);
-
Configure the serializer and deserializer:
Serializer<LogInput> serializer = new AvroKafkaSerializer<LogInput>(); (1) Deserializer<LogInput> deserializer = new AvroKafkaDeserializer <LogInput>(); (2) Serde<LogInput> logSerde = Serdes.serdeFrom( serializer, deserializer ); Map<String, Object> config = new HashMap<>(); config.put(SerdeConfig.REGISTRY_URL, registryUrl); config.put(AvroKafkaSerdeConfig.USE_SPECIFIC_AVRO_READER, true); logSerde.configure(config, false); (3)
1 The Avro serializer provided by Apicurio Registry. 2 The Avro deserializer provided by Apicurio Registry. 3 Configures the Apicurio Registry URL and the Avro reader for deserialization in Avro format. -
Create the Kafka Streams client:
KStream<String, LogInput> input = builder.stream( INPUT_TOPIC, Consumed.with(Serdes.String(), logSerde) );


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Are you ready to participate in a clinial trial?
Do you have health insurance (including Medicare or Medicaid)?
You told us that you believe that you have private insurance coverage or that you are covered by Medicare or Medicaid. This can make participating in a clinical trial or research study easier. Insurance, including Medicare and Medicaid, are generally required to cover all expenses associated with your medical treatment. Although the cost of new medicines or forms of treatment might not be covered, you can ask your doctor or nurse whether the sponsor of the study (like the government or drug company) will pay these expenses. These are often covered. At the same time, many types of studies don’t require insurance at all, or may even provide you with a small amount of pay to thank you for your time. These types of studies often involve interview or survey research and take as little as 30 minutes of your time. What researchers can learn, though, can help many patients like you.
You indicated that you are either unsure that you are covered by insurance or that you do not have insurance.
You can ask your doctor, the contact person for the study, or our Clinical Trial Navigator, to investigate whether you are actually covered by insurance, Medicare, or Medicaid. If you do not have insurance, we can look for a study that you can join that will not have any costs to you.
If you joined a clinical trial, would you have a strong preference for either the new treatment or the “usual care” treatment”?
You told us that you have a strong preference for either the new treatment or the “usual care” treatment. Lots of people only want a treatment that has already been tested. Other people really want only a new type of treatment. That’s okay. However, this might make you less suitable for a clinical trial. But before you decide, talk to our clinical trial navigator at (***). We may have a study you can participate in that doesn’t involve actually treating your disease. For example, we need to understand how people cope with their disease. We also need to learn more about how health conditions affect family members. These types of studies just need your time to answer questions about your life and your behaviors. These studies can help us learn a lot about how to help people like you. If you’d like to watch a short video that explains randomization, please click here.
You told us that you do not have a strong preference about being given a specific treatment rather than being randomized. People who feel comfortable receiving either the new treatment or “standard of care” tend to be more likely to join a clinical trial.
You told us that you are unsure whether you would have a strong preference about being given a specific treatment rather than being randomized. Before you decide whether or not to join a clinical trial, talk to our clinical trial navigator at (***). We may have a study you can participate in that doesn’t involve actually treating your disease. For example, we need to understand how people cope with their disease. We also need to learn more about how health conditions affect family members. These types of studies just need your time to answer questions about your life and your behaviors. These studies can help us learn a lot about how to help people like you.
The design of many clinical trials rely on “randomization”. Are you comfortable with having a computer telling your doctor which treatment to give you?
 Through randomization, we can learn a lot about the effectiveness of each type of treatment. People who are comfortable with randomization tend to be more likely to participate in a clinical trial.
You told us that you would not want to be “randomized” to a specific type of treatment. The people in charge of a clinical trial can explain the benefits and risks of each type of treatment being tested in a way that you can understand. If you’d like to watch a short video that explains randomization, please click here.
If you are still uncomfortable with randomization, you can talk to our clinical trial navigator about participating in a research study that doesn’t involve randomization or any sort of medicine. There is a lot that we need to know about how people (and their families) cope with disease, for example. There are also studies that look at other ways to improve a patient’s quality of life. When you participate in a research study, you will be helping many people in the future (including, perhaps, you and your family members).
You told us that you are unsure if you would be okay with being randomized to receive a specific treatment. The people in charge of a clinical trial can explain the benefits and risks of each type of treatment being tested in a way that you can understand. If you’d like to watch a short video that explains randomization, please click here.
If you are still uncomfortable with randomization, you can talk to our clinical trial navigator about participating in a research study that doesn’t involve randomization or any sort of medicine. There is a lot that we need to know about how people (and their families) cope with disease, for example. There are also studies that look at other ways to improve a patient’s quality of life. When you participate in a research study, you will be helping many people in the future (including, perhaps, you and your family members).
Are you worried that your family would be upset if you decided to join a clinical trial or research study?
 Family members who do not know a lot about clinical trials might find it helpful to learn more about why you are interested in joining a study. You can also show them this website. Your doctor and the members of the study team can also answer any questions your family members have. When everyone in your family is comfortable with your decision, it can make being in a study a little easier.
 People who respond to this question the way you did tend to be more likely to join a clinical trial or research study. Family support is important to many people. If anyone in your family has any questions about clinical trials, you can show them this website. Your doctor and the members of the study team can also answer any questions your family members have.
 Family members who do not know a lot about clinical trials might find it helpful to learn more about why you are interested in joining a study. You can also show them this website. Your doctor and the members of the study team can also answer any questions your family members have. When everyone in your family is comfortable with your decision, it can make being in a study a little easier.
Do you generally trust the doctors and researchers who conduct cancer research studies?
You told us that you generally trust doctors and researchers who conduct cancer research. People who respond this way are more likely to participate in clinical trials. The ethical treatment of patients is a top priority of cancer doctors and researchers. If you’d like to learn more about how patients are protected when they participate in research studies, click here (link to Patient Protections animation).
Also, there are many types of studies that you can participate in. New medications and treatments are only one type of clinical trial. You can also donate time by answering survey questions. You can also allow researchers to access some of your data so they can look for patterns that could help them advance knowledge about cancer. If any of these options interest you, please contact our clinical trial coordinator at *.
You told us that you generally do not trust doctors and researchers who conduct cancer research. People who have trouble trusting doctors and hospitals that do research are less likely to participate in clinical trials. And that’s okay. However, there are many ways that patients are protected when they participate in research studies, which you can learn about here (link to Patient Protections animation).
Also, there are many studies that involve very little risk that can still help improve our knowledge about how to treat illness better. By donating your time by answering survey questions or by allowing us to access some of your data, we can make real advances. If this option interests you, please contact our clinical trial coordinator at *.
You told us that you are not sure whether you trust doctors and researchers who conduct cancer research. People who have trouble trusting doctors and hospitals that do research are less likely to participate in clinical trials. And that’s okay. However, there are many ways that patients are protected when they participate in research studies, which you can learn about here (link to Patient Protections animation).
Also, there are many studies that involve very little risk that can still help improve our knowledge about how to treat illness better. By donating your time by answering survey questions or by allowing us to access some of your data, we can make real advances. If this option interests you, please contact our clinical trial coordinator at *.
Is it important to you to help others who might be affected with your type of cancer in the future?
You said that helping others by participating in research is important to you. People who respond this way are more likely to participate in clinical trials. Research participation helps to advance knowledge for all people. Of course, we want you to be comfortable with your decision. You can learn a lot about clinical trials and research studies by looking at our website. You can also talk to our Clinical Trial Navigator, your doctor, and research study staff members.
You said that it is not important to help others by participating in research. People who respond this way are less likely to participate in clinical trials. Many factors can make people feel uneasy about enrolling in a research study. Your decision should be based on your values as well as accurate knowledge. You can learn a lot about clinical trials and research studies by looking at our website. You can also talk to our Clinical Trial Navigator, your doctor, and research study staff members. They can answer all of your questions. When you are fully informed, you can make the decision that is right for you.
You said that you aren’t sure whether helping others by participating in research is important to you. People who respond this way are somewhat less likely to participate in clinical trials. Many factors can make people feel uneasy about enrolling in a research study. Your decision should be based on your values as well as accurate knowledge. You can learn a lot about clinical trials and research studies by looking at our website. You can also talk to our Clinical Trial Navigator, your doctor, and research study staff members. They can answer all of your questions. When you are fully informed, you can make the decision that is right for you.

You said that you believe that you have all of the information you need to make a decision. That’s terrific! Our goal is to help you make a well-informed decision. Whether you decide to participate in a clinical trial or not is up to you. If you do have more questions as you go through treatment, please contact your doctor or our Clinical Trial Navigator at *.
You said that you need to know more about clinical trials make a decision about joining a clinical trial. Our goal is to help you make a well-informed decision. No one should join a clinical trial or research study until they feel like they know enough to feel comfortable. You can learn more about clinical trial participation by reading our website. We also have a short video about how to find a clinical trial and what to expect if you do enroll. Click here to watch it. If you have more questions at any point, please contact your doctor or our Clinical Trial Navigator at *.
You said that you are not sure whether you have enough information to make a decision about joining a clinical trial. Our goal is to help you make a well-informed decision. Whether you decide to participate in a clinical trial or not is up to you. You can learn more about clinical trial participation by reading our website. We also have a short video about how to find a clinical trial and what to expect if you do enroll. Click here to watch it. If you have more questions at any point, please contact your doctor or our Clinical Trial Navigator at *.
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Kempty Falls is a magnificent waterfall and recreation area set in the lap of a green valley. It’s a favorite hangout of local residents, who come to cool off in waterholes, have fun with relaxed boating activities and enjoy scenic picnics. A British officer established Kempty Falls in the 1830s as a place for the British Raj to hold tea parties. The waterfall’s name is rumored to stem from the colloquial name of Camp Tea.
Follow the walkways and bridges that lead from the falls’ entrance to vantage points. Marvel as the milky-white water cascades down a cliff face before bouncing off rocks and into a manmade waterhole. Admire the verdant foliage that frames both sides of the waterfall. Listen to the invigorating sounds of the rushing water, which mingles with the excited cheering of visitors.
On a warm and sunny day you might want to take a refreshing dip in the inviting pool. Inflatable rings are available to rent and present the chance to float lazily on the shallow water. Stand directly beneath one of the branches of the falls to experience its full force. Around the pool, find restaurants serving traditional Indian snacks and a handful of shops selling curios.


Jekyll uses the Liquid templating language to process templates.
Generally in Liquid you
output content using two curly braces e.g. {{ variable }}
and
perform logic statements by surrounding them in a curly brace percentage sign e.g.
{% if statement %}
.
To learn more about Liquid, check out the official Liquid Documentation.
Jekyll provides a number of useful Liquid additions to help you build your site:


API Hero
Portable OpenAPI REST Client with Observable Data Models
Online Developer Documentation
Goals
- Simplify setup and maintenance of API Connectors in the App Layer
- Be framework agnostic and portable across frameworks and environments
- Provide observable and validating data models for all data i/o
Table of Contents
Installation Instructions
$ npm i api-hero
Usage Example
The example below defines a single API Client
// OpenAPI spec for our service
const schema = {
namespaces: {
"HelloWorld": {
name: "hello",
schema: ... embed or $ref openapi spec here ...
},
},
};
// initialize and make _hero.HelloWorld accessable
const _hero = ApiHero.init(_nsSchema);
// create a new instance of a `pets` item
const _pet = _hero.HelloWorld.pets.new({
type: "dog",
price: 123.00,
})
// initialize an observer that will perform a REST `save`
// ... whenever the model changes
const _petSub = _pet.subscribe({
next: (pet) => _pet.save(),
error: (e) => console.log(e),
});
// this will log an error because `price` requires a number
_pet.model.price = "160.00";
// this will validate and be saved to the server
_pet.model.price = 160.00;
// will output {id:n,type:"dog",price:160.00}
// `id` was assigned by `save` operation on model change
console.log(`${_pet}`);
Developer Guide
Initializer
Initializes ApiHero
| Method | Arguments | Description |
|---|---|---|
| ApiHero.init | config: object | returns |
Usage Example:
const _hero = ApiHero.init({namespaces:[]});
ApiHero Model
Initializes ApiHero
| Method | Arguments | Description |
|---|---|---|
| addNamespace | object | returns |
| errors | returns array of schema validation errors | |
| namespaces | getter returns array of namespace ids | |
| {namespace_id} | each OpenApi schema is assigned a getter that returns the API namespace |
Usage Example:
const _hero = ApiHero.init({namespaces:[{
pets: {... pets openapi schema ...},
}]});
// output of list of namespaces: "pets"
console.log(`${_hero.namespaces}`);
// output JSON-Schema for the namespace
console.log(JSON.stringify(_hero.pets.schema, null, 2);
Trait Mixins
Traits are assigned to Namespace Elements based on the available REST Operations for the element's path
Creatable Trait
Elements that have a post
operation creatable
| Method | Arguments | Description |
|---|---|---|
| newModel | data: object | creates new model instance for schema at path |
| create | data: object, immediate: bool | creates new model, applies it to collection and if immediate is true saves to server |
Usage Example:
Deletable Trait
Elements that have a delete
operation are deletable
| Method | Arguments | Description |
|---|---|---|
| destroy | sends delete request to server |
Usage Example:
Fetchable Trait
Elements that have a get
operation are fetchable
| Method | Arguments | Description |
|---|---|---|
| fetch | ||
| fetchById |
Usage Example:
Listable Trait
Elements that have a get
operation and return an array are listable
| Method | Arguments | Description |
|---|---|---|
| getModels | returns curretly loaded models | |
| setModels | data: array[object] | sets models directly onto collection |
| add | data: object | sets single model into collection |
| at | idx: number | retrieved model at given index |
| findById | id: string or number | retrieves loaded model with given id |
| reset | clears loaded models from collection (client side only) | |
| valueOf | returns native value of data | |
| toString | returns stringified version of data | |
| toJSON | returns data as JSON object |
Usage Example:
Savable Trait
Elements that have a post
or put
operation are savable
| Method | Arguments | Description |
|---|---|---|
| save | params: object | performs post or put to save models to server |
Save Params Object
Usage Example:
Updatable Trait
Elements that have a put
operation are updatable
| Method | Arguments | Description |
|---|---|---|
| update | data: object |
Usage Example:
Element Mixins
Collection Mixin
Elements that constitute an array
are models
| Method | Arguments | Description |
|---|---|---|
| validate | data | performs validation of data against schema for path |
| valueOf | returns native value of data | |
| toString | returns stringified version of data | |
| toJSON | returns data as JSON object |
Usage Example:
Model Mixin
Elements that constitute an object
are models
| Method | Arguments | Description |
|---|---|---|
| valueOf | returns native value of data | |
| toString | returns stringified version of data | |
| toJSON | returns data as JSON object |
Usage Example:


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Chicken Parmesan
The recipe that started this very site.
Ingredients
- chicken breasts
- tomatoes (San Marzano is best)
- mozzarella cheese
- parmesan cheese
- bread crumbs
- eggs
- flour
- pasta sauce
Directions
- Slice the chicken breasts through their width so that they are as flat as possible.
- Pound breasts as flat as possible.
- Add flour to a bowl or basin large enough to fit a breast, add pepper.
- Crack eggs into another large bowl or basin and whisk them.
- Add breadcrumbs to yet another large bowl or basin. Add generous amounts of grated parmesan.
- One by one, take each breast and dip and cover it in the flour, then the egg, then the bread crumbs.
- Cover a pan with olive oil and heat it just under when it begins to smoke.
- Fry the bread crumb-coated chicken breasts in the oil. Add butter generously while frying to ensure frying oil does not evaporate.
- Move fried breasts to an oiled or buttered pan, add mozzarella and parmesan on them.
- Broil/cook the breasts only long enough for the cheese to melt.
- Serve the breasts with pasta sauce either above or below. This is often served with pasta.
Note
There is some controversy over when to add the pasta sauce to this dish.
Some place it on the chicken before cooking it with the mozzarella.
The sauce, if left on the chicken too long will make the breadcrumbs go soggy.
That also will make leftovers mushy (while still tasty).
I recommend keeping the breasts separate and only adding the sauce when served.
Contribution
Recipe tags:
italian
chicken


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Table of contents
This manual is a comprehensive reference guide to using the BeConverter. It explains in detail, with well furnished illustrations, the various aspects of the BeConverter, right from installing and launching to tweaking and customizing. It also covers other information such as settings appropriate options, getting help etc. Do read this entire manual at least once.
Getting started
Usage
Categories
Support
More information
Appendices
Copyright © 2001 Ramshankar. All Rights Reserved.
All cited trademarks and registered trademarks are the property of their respective owners.
This page is best viewed with NetPositive in a screen resolution of 800 × 600 pixels.


--- layout: data_model title: BundleType this_version: 4.1 ---
The BundleType serves as the high-level construct which encapsulates all Bundle elements, and represents some characterized analysis data (from any arbitrary set of analyses) for a single malware instance in terms of its MAEC Components (e.g., Behaviors, Actions, Objects, etc.).
| Field Name | Type | Description |
|---|---|---|
| @idrequired | QName |
The required id field specifies a unique ID for this MAEC Bundle. |
| @schema_versionrequired | string |
The required schema_version field specifies the version of the MAEC Bundle Schema that the document has been written in and that should be used for validation. |
| @defined_subjectrequired | boolean |
The required defined_subject field specifies whether the subject attributes of the characterized malware instance are included inside this Bundle (via the top-level Malware_Instance_Object_Attributes field) or elsewhere (such as a MAEC Subject in a MAEC Package). |
| @content_typeoptional | BundleContentTypeEnum |
The content_type field specifies the general type of content contained in this Bundle, e.g., static analysis tool output, dynamic analysis tool output, etc. |
| @timestampoptional | dateTime |
The timestamp field specifies the date/time that the bundle was generated. |
| Malware_Instance_Object_Attributes0..1 | ObjectType |
The Malware_Instance_Object_Attributes field characterizes the attributes of the object (most typically a file) that represents the malware instance whose Behaviors, Actions, Objects, Process Tree, and Candidate Indicators are characterized in this Bundle. This is equivalent to the Malware_Instance_Object_Attributes inside of a Malware_Subject in the MAEC Package, and is therefore only required if this Bundle is to be used in a stand-alone fashion, i.e., without an accompanying MAEC Package and with the defined_subject field set to 'True'. |
| AV_Classifications0..1 | AVClassificationsType |
The AV_Classifications field contains 1-n AVClassificationType objects, which capture any Anti-Virus scanner tool classifications of the malware instance object. |
| Process_Tree0..1 | ProcessTreeType |
The Process_Tree field specifies the observed process tree of execution for the malware instance, along with references to any corresponding actions that were initiated, if applicable. |
| Capabilities0..1 | CapabilityListType |
The Capabilities field contains 1-n CapabilityType objects, which serve to describe the high-level capabilities and objectives of the malware instance. |
| Behaviors0..1 | BehaviorListType |
The Behaviors field contains 1-n BehaviorType objects, which function as the MAEC representation for any behaviors that were observed for the malware instance. |
| Actions0..1 | ActionListType |
The Actions field contains 1-n ActionType objects, which function as the MAEC representation for any lower-level actions that were observed for the malware instance. |
| Objects0..1 | ObjectListType |
The Objects field contains 1-n ObjectType objects, which function as the MAEC representation for any objects associated with the malware instance. |
| Candidate_Indicators0..1 | CandidateIndicatorListType |
The Candidate_Indicators field contains 1-n CandidateIndicatorType objects, which function as the MAEC representation of any candidate indicators associated with the malware instance. |
| Collections0..1 | CollectionsType |
The Collections field contains the collection element types for Behaviors, Actions, Objects, and Candidate Indicators. |


The Archer
_____
This 15 second video utilizes the 3D camera environment in Adobe After Effects. The prep-work included storyboarding and creating thumbnail roughs. Each layer was created in Adobe Photoshop using pastel brushes and an Intuous tablet.


How did I miss looking at my clock at 11:11:11 on 11/11/11? Guess I'll settle for the less satisfying PM version later. #badnerd
11/11/2011, 1:42:35 PM
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How did I miss looking at my clock at 11:11:11 on 11/11/11? Guess I'll settle for the less satisfying PM version later. #badnerd
11/11/2011, 1:42:35 PM
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A wide selection of Food and Drinks
Check it out!
BEC
Bacon, Eggs, and Cheese (Cheddar/Swiss) on Brioche Milk Buns
$12
Forbidden Rice
Bacon, Eggs, and Cheese (Cheddar/Swiss) on Brioche Milk Buns
$15
The Field
Portobello mushrooms | poached eggs | crusty bread | goats cheese | balsamic reduction | shaved truffle | & toasted pine nuts
$18
Nuttella & Salty Pretzel
Cold Nutella shake | lashings of Nutella whipped cream | crushed salty pretzels
$9.50
Nutty Pât
Warm salted carmel shake | pecan | vanilla bean whipped cream
$9.50
Muddy Pât
Warm fudgy hot choclate | fudge brownie | choclate fudge | whipped cream | toasted house made marshmallow
$9.50
French Vanilla
Cold real vanilla bean shake | caramilised puff pastry | vanilla bean whipped cream | vanilla bean crème pâtissiére
$9.50
Fat Pât
One fat hotcake | see specialboard for this week's flavour
$17
Mini Me
Dutch pancakes with your choice of toppings as many as you like..
Banana - Nutella - Peanut Butter - Maple Syrup - Ice Cream - Salted Caramel
$10
Cherry Popcorn Ice cream Cake.
Click to find out more, or Order
From $
Toffe Ferror Rocher
Click to find out more, or Order
From $


Hello Class. My name is Dan white.
My favorite online store is
Amazon
!
My favorite video game company is
Blizzard
!
My favorite search engine is
Google
!


So foggy out the window I still can't see the river. I love fall! 10/21/2008, 9:24:35 AM Favs: 0 Retweets: 0 link


{% extends "admin/master.html" %} {% block body %}
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- Improve O2 Supply:
- Increase O2 to 100%
- Correct anemia
- Correct hypotension
- Decrease O2 Demand:
- Reduce heart rate
- Correct hypertension
- Restore sinus rhythm
- Drug therapy (rarely needed in peds, consult a pediatric cardiac expert):
- Nitroglycerin 0.5-5 MICROgrams/kg/min infusion
- Consider heparin 10 Units/kg bolus, then 10 Units/kg/hour infusion
- Consider heparin Units (10 Units/kg) bolus,
then 10 Units/kg/hour infusion
- Consider DDx


A simple implementation of the pix2pix paper on the browser using TensorFlow.js. The code runs in real time after you draw some edges. Make sure you run the model in your laptop as mobile devices cannot handle the current models. Use the mouse to draw. For detailed information about the implementation see the code.
| back | |
| balcony | |
| window | |
| w-head | |
| w-bottom | |
| roof |


{% extends "home/header.html" %}
{% block content %}
Forged in heart of Portland Oregon, Technaponics is a manufacturer of smart, over the internet, all-in-one grow computers.
Offering high resolution, scientific grade environmental data to help fine tune inputs and maximize yields.
We design quality, durable products that reduce labor, facilitate optimization, and cut down costs in any growing environment.


Use a paper form
You can only use this service to recover debts of less than £5,000, including fees.
If the claim is for items you paid for by credit or debit card
You can use a paper form to apply to the county court to recover the debt. You can't apply for a high court writ.
Download a paper form (opens in a new window), complete it and return it to make your application.
All other debts above £5,000
Download a paper form (opens in a new window) to apply for a writ of control. This will instruct a high court enforcement officer to recover the debt.
Where to send paper forms
County Court Money Claims Centre
PO Box 527
Salford
M5 0BY


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I have just read the materials about time management and habits develop. I have tried meditation and 25 minutes timebox. During the period, I find that there are many type of meditations in the world. I never knew before that meditation is able to affect our brains. My attention was easily to drift and I had to draw it back again and again.
After meditation and timebox I tried, I feel that my mind has been released, which makes me more relaxed and more easily to focus. This is a wonderful experience. I intend to start developing my meditative habits. On other hand, starting from small things is a great idea. I believe I can benefit from it.