adg | Accessibility Developer Guide | Accessibility Testing library

It seems you can try to use:

Your code does not compile. First of all, replace String stringPosition = str.charAt(pos) with String stringPosition = String.valueOf(str.charAt(0)) as str.charAt(pos) returns a char value which you can not assign to a String variable.

Also, it is as simple as starting the loop counter with 0 and stepping with a value n. In each iteration, append the character at the loop counter to a StringBuilder.

Can anyone help me understand the source of the problem?

You linked libldap-2.4.so.2 against GLIBC-2.28 (or later).
But at runtime, the version of GLIBC is 2.27 (or earlier).

GLIBC supports backward compatibility (binaries built against earlier version of GLIBC continue to run on systems with newer GLIBC versions).

But it doesn't support "build on newer, run on older" compatibility.

I think this should work, now:

I started from scratch because you're only providing a tables not coded data simple.

Creating DataFrames

One approach to developing a recursive solution is to assume you already have one that works for smaller versions of the problem. (The idea is that if it can handle the smallest case (the base case) directly, and any recursive call is on a smaller problem, you always eventually get to that base case.)

To wit:

I want to make sure that what I am doing does not defeat the whole purpose of using CloudFront

It doesn't defeat the purpose. This works as intended and the response would still be cached using the same rules that would be used if this bucket were a statically configured origin and no trigger was in place.

Origin Request triggers only fire when there's a cache miss -- after the cache is checked and the requested resource is not there, and CloudFront concludes that the request needs to be forwarded to an origin server. The Origin Request trigger causes CloudFront to briefly suspend its processing while your trigger code evaluates and possibly modifies the request before returning control to CloudFront. Changing/setting the origin server in the trigger modifies the destination where CloudFront will then send the request, but it doesn't have any impact on whether the response can/will be cached or otherwise change what CloudFront would do when the response arrives from the origin server. And, if a suitable response is already available in the cache when a new request arrives, the trigger won't fire at all, since there's nothing for it to do.

as long as that bucket is setup in CloudFront as one of the origin already

This isn't actually required. Any S3 bucket with publicly-accessible content can be specified as the origin server in an Origin Request trigger, even if it isn't one of the origins configured on the distribution.

There are other rules and complexities that come into play if a trigger like this is desired and your buckets require authentication and are using KMS-based object encryption, but in those cases, there would still be no impact of this design on caching -- just some extra things you need to do to actually make authentication work between CloudFront and the bucket, since an Origin Access Identity (normally used to allow CloudFront to authenticate itself to S3) isn't sufficient for this use case.

It's not directly related to the Origin Request trigger and the gist of this question, but noteworthy since you are using request.querystring: be sure you understand the concept of the cache key, which is the combination of request attributes that CloudFront will use when determining whether a future request can be served using a given cached object. If two similar requests result in different cache keys, then CloudFront won't treat them as identical requests and the response for one cannot be used as a cached response for the other, even though your expectation might have been otherwise, since the two request are for the same object. An Origin Request trigger can't change the cache key for a request, either accidentally or deliberately, since it's already been calculated by CloudFront by the time the trigger fires.

meaning, allowing origins contents (s3 buckets) to be cached at edges so that users can get what they request fast from the closest edge location to them

Ah. Having written all the above, it occurs to me now that perhaps your question might actually stem from an assumption I've seen people occasionally make about how CloudFront and S3 interact. It's an assumption that is understandable, but turns out to be inaccurate. When a bucket is configured as a CloudFront origin, there is no mechanism that pushes the bucket's content out to the CloudFront edges proactively. If you were working from a belief that this is something that happens when a bucket is configured as a CloudFront S3 origin, then this question takes on a different significance, since you're essentially asking whether the content from those various buckets would still arrive at CloudFront as expected... but CloudFront is what I call a "pull-through CDN." Objects are stored in the cache at a given edge only when someone requests them through that edge -- they're cached as they are fetched as a result of that initial request, not before. So your setup simply changes where CloudFront goes to fetch a given object. The rest of the system works the same as always, with CloudFront pulling and caching the content on demand.

NPM natively supports package aliases since version 6.9.0

So in your case you could take the following approach:

For two vectors vec and test, this returns a vector which is TRUE if either the corresponding element of test is the start of one of the elements of vec, or one of the elements of vec is the start of the corresponding element of test.