docu | Simple documentation | Functional Programming library

I ran the test (several times) and got at least similar execution times for both statements. The Application server sort version about 25% faster than HANA sort. So my mileage was different.

That HANA sort isnt "faster" is only mildly surprising until you look at the table definition. Sorting the entire inverted hash index not what it was designed for. :)

Some "rules" are meant to be broken.
Sorting 5 Million keys with inverted hashes might a good example. And now you have 5 Million records in memory, reading rows quickly by key will favor the internally sorted table. anyway ;)

The format can be changed only while performing a GetMap request (it cannot be configured, I believe the standard mandates the usage of XML exceptions by default).

When issuing a GetMap request, add the key value pair &EXCEPTIONS=application/vnd.ogc.se_inimage or &EXCEPTIONS=application/vnd.ogc.se_blank in the URL.

E.g.:

https://gs-main.geosolutionsgroup.com/geoserver/tiger/wms?service=WMS&version=1.1.0&request=GetMap&layers=tiger%3Agiant_polygon&bbox=-180.0%2C-90.0%2C180.0%2C90.0&width=768&height=384&srs=EPSG%3A4326&styles=foobar&format=image/png&EXCEPTIONS=application/vnd.ogc.se_inimage

(should return an image saying that the foobar style does not exist)

I solved it

Is memory allocation in both assignments technically the same?

I'm not going to talk about implementation details, since those may or may not change.

From the point of view of the language specifications, there is a difference.

Allocating with new(T) follows the rules of allocation (my own note in [italics]):

The built-in function new takes a type T, allocates storage for a variable of that type at run time, and returns a value of type *T pointing to it. The variable is initialized as described in the section on initial values. [its zero value]

Allocating with a composite literal as &T{} follows the rules of composite literals and addressing:

Composite literals construct values for structs, arrays, slices, and maps and create a new value each time they are evaluated.

Taking the address of a composite literal generates a pointer to a unique variable initialized with the literal's value.

So both new(T) and &T{} allocate storage and yield values of type *T. However:

• new(T) accepts any type, including predeclared identifiers as int and bool, which may come in handy if you just need to initialize such vars with a one-liner:

Solved by @Rui Barradas: which(cumsum(u)>= runif(1))[1]

You can do a POST request using curl in PHP.

The message in your job output No URL provided, cache will be not uploaded to shared cache server. Cache will be stored only locally. just means that your runners are not using Amazon S3 to store your cache, or something similar like Minio.

Without S3/Minio, the cache only lives on the runner that first ran the job and cached the resources. So, the next time the job runs if it's picked up by another runner, it won't have the cache and you'd run into an error like this.

There's a couple ways around this:

1. Configure your runners to use S3/Minio (Minio has an open source, free-to-use license if you're interested in hosting it yourself).
2. Only use one runner (not a great solution since generally more runners means faster pipelines and this would slow things down considerably, though it would solve the cache problem).
3. Use tags. Tags are used to ensure that a job runs on a specific runner(s). Let's say for example that 1 out of your 10 runners have access to your production servers, but all have access to your lower environment servers. Your lower-env jobs can run on any runner, but your Production Deployment job has to run on the one runner with prod access. You can do this by putting a Tag on the runner called let's say prod-access and putting the same tag on the prod deploy job. This will ensure that job will run on the runner with prod access. The same thing can be used here to ensure the cache is available.
4. Use artifacts instead of cache. I'll explain this option below as it's really what you should be using for this use case.

Let's briefly explain the difference between Cache and Artifacts:

• Cache is generally best used for dependency installation like npm or composer (for PHP projects). When you have a job that runs npm ci or composer install, you don't want it to run every since time your pipeline runs when you don't necessary change the dependencies as it wastes time. Use the cache keyword to cache the dependencies so that subsequent pipelines don't have to install the dependencies again.

• Artifacts are best used when you need to share files or directories between jobs in the same pipeline. For example, after installing npm dependencies, you might need to use the node_modules directory in another job in the pipeline. Artifacts are also uploaded to the GitLab server by the runner at the end of the job, opposed to being stored locally on the runner that ran the job. All previous artifacts will be downloaded for all subsequent jobs, unless controlled with either dependencies or needs.

Artifacts are the better choice for your use case.

Let's update your .gitlab-ci.yml file to use artifacts instead of cache:

Unfortunately by Looking the Documentation of react-native-track-player , This package doesn't support expo Expo and Expokit support

• Cloned react-native-track-player

• Separate out the example project from package

• Remove postinstall from package.json's scripts

• add package in dependencies "react-native-track-player": "^2.0.1",

• yarn install or npm install

• yarn android or npm run android

As far as I can see your .find query parameter is wrong. Instead of :