hail | Cloud-native genomic dataframes and batch computing | Genomics library

Use across() to apply the same function to multiple columns:

Unfortunately, there is no easy way to get COptQuestSolution to carry extra variables. The way I have done this before is by saving extra information before root object is destroyed. To do it:

1. create a Map> extraVars outside evaluate
2. then populate extraVars inside evaluate method before call to engine.stop() using solution.getIteration as key

You need to reference and alias the sheldus51_copy table in a FROM clause at the top level, so that both the UPDATE and the nested select (correlated subquery) can reference the same rows. Try:

First Solition

In Android Studio, Select File > Project Structure.

In that window, on the left side, select the app module. Once selected, click on the Flavors tab on the top of the window pane. Set your minimum SDK version to 21.

Explanation: As Android updates to new versions, tools that developers use for Android change (& update or deprecate). Because of this, you cannot use new tools on an old version. Version 1 is the very first Android SDK (and we definitely don't want to be using that!). Capacitor requires the SDK be at least version 21.

Second Solution

If that doesn't work, we can always try rebuilding the android app all together. (Note: By doing this, you will lose any custom changes in the AndroidManifest.xml, a custom app icon, etc. If you haven't touched any of these things, then great!).

1. Delete android folder from the Ionic Project's root folder.
2. run command ionic capacitor add android
3. run command ionic capacitor build android
4. Build & run!

I've used your code to assemble a small example, which you can see below.

1. Inside svg > defs, create one pattern per node and use that pattern (with the ID of the company) to fetch the logo of that company;
2. Reference the pattern for the node using the information you already have.

Some pointers on your code:

1. You already use ES6 logic, so you can also use Array.prototype.map and other functions. They're generally much more readable (and natively implemented!) than d3.map;
2. There is no need to keep so many arrays of values, generally having fewer sources of truth for your data will make the code simpler to maintain and update in the future;
3. Use clear variable names! LS and LT are logical when you know the context, but when you revisit this code in 6 months you might not instantly know what you were talking about when you wrote it.

You are missing a class that matches the list of Species that your JSON contains:

Weka's CSVLoader cannot handle rows that span multiple lines (despite quoting). Once all your rows (header and data) are one per line, you should be fine.

The common-csv (unofficial) Weka package should be able to handle rows spanning multiple lines.

As of now, spark-rapids doesn't support GPU usage for RDD interfaces.

Source: Link

Apache Spark 3.0+ lets users provide a plugin that can replace the backend for SQL and DataFrame operations. This requires no API changes from the user. The plugin will replace SQL operations it supports with GPU accelerated versions. If an operation is not supported it will fall back to using the Spark CPU version. Note that the plugin cannot accelerate operations that manipulate RDDs directly.

Here, an answer from spark-rapids team

Source: Link

We do not support running the RDD API on GPUs at this time. We only support the SQL/Dataframe API, and even then only a subset of the operators. This is because we are translating individual Catalyst operators into GPU enabled equivalent operators. I would love to be able to support the RDD API, but that would require us to be able to take arbitrary java, scala, and python code and run it on the GPU. We are investigating ways to try to accomplish some of this, but right now it is very difficult to do. That is especially true for libraries like Hail, which use python as an API, but the data analysis is done in C/C++.

First of all, you should convert your JSON to array then use loop(foreach, for, while...) and get value accordingly like this: