statem | Develop Javascript Turing/State Machines

Ternary Operators has some special rules.
For example,you only can use expressions in these three parameters.
But continue; is a complete sentence.So it can't work with Ternary Operators.
if you have to use Ternary Operators with continue,you can try this:

Append your self-signed cert to /etc/ssl/certs/ca-certificates.crt manually.

Assuming you have the self-signed certificate in a file in your build directory called my-cert.pem:

Paths are allowed to have any characters except zero byte. The only possible way to work safely with any files is to use zero separated streams. Note that you have to have GNU tools then as they support various -z/-0 options, or use a different programming language. A common trick is to put before the filename stuff that will have known format, and then put the filename. That way you can extract them with like a regex (or with cut -d' ' -f2-).

The issue was not due to configuration. The issue was due to alpine image. There is a bug with 13.3.2.

I reverted my image to alpine3.12.

This is happening due to the following reason.

The first time when you launch the application, It makes 3 entries in DB. 1 entry from RoomDb class( Jordan one), 2 entries from the Home Activity class.

Now if you close the application by pressing the device back button and reopen it,It makes another 2 entries in DB ( Home Activities entry ( easy & letsee ). There will be no entry from RoomDB class ( Jordan one) because DB connection is still open. So

I would suggest that, the more complex your grammar is the MORE you want to use explicit Lexer rules (ex: ADD: "+";) and the MORE you want to label the parts of your parser rules (like op=).

These give you tools to write visitor/listener code that is easier to follow and less prone to errors.

"Is there in IF statement possible to visit node value of my ANTLR tree which contains token '+' without using children?" -> yes, label the operator in your parse rule with the op= notation. Then you can refer to is by name rather than it's position within your children nodes.

There really isn't an answer to making things easier while not doing the things you say you don't want to do.

Trust me, start using tools like explicit Lexer rules and labelling the parts of your parser rules. You'll be glad you did in the long run.

I don't know immediately why the query given would be so costly, memory-wise, for GraphDB Free to execute, but generally a lot can depend on the shape and size of your dataset. Of course, doing a query that basically retrieves the entire database is not necessarily a wise thing to do in the first place.

Having said that, there's a couple of things you can try. Working with LIMIT and OFFSET as a pagination mechanism is one way.

Another option you could try is to split your query in two: one query retrieves all identifiers of resources you're interested in, and then you iterate over those and for each do a separate query to get the details (attributes and relations) for that particular resource.

In your example, you could split on ?row, so you'd first do a query to get all rows for the given table:

The issue was with my node version. Updated from 10.19.0 to 12.18.4 and worked just fine.