cob | Continuous Benchmark for Go Project | Continous Integration library

You can do it manually using backticks:

A better approach would be to use set intersection (assuming you're trying to count unique matches, i.e., you're not interested in how many times "apple" is mentioned in a review, only that it is mentioned, period).

This should get you what you want, again, assuming you want to count unique matches and assuming your lemmatized column values are indeed lists of strings:

Do it like this:

In that case, as a simple modification, how about the following modification?

Please modify sendEmailForm() as follows.

Would something like this work? Basically does more or less what you describe:

First of all, if you want the return type of groupBy to have specific keys like item, animal, and car, you will pretty much need to do something like a const assertion when you initialize data. Generally speaking, the compiler infers the type of a string-valued property to be string and not the specific string literal type. So the type of x in const x = {a: "b"} will be inferred to be {a: string} and not {a: "b"}. Since "item", "animal", and "car" are string-valued properties of data, you will need to do some work to preserve their values. The easiest thing to do is this:

What you need to do is get a byte-array of every PDF-Content, add this to a zip-File and then produce a StreamedContent of this Zip-File.
Supposing you have a List with all your PDF-Contents, it could be something like this:

When a COPYBOOK is referenced it is selected based on the first dataset where the COPYBOOK is found. The compiler does not look at the dataset name where you are seeing the version number. The version number is a convention to control when new changes are introduced into the environment.

As an example, let's say a new version of MQ is installed the dataset can be changed to reference the newer version. This will depend on how the system programmers introduce change into the environment. Thats a more complicated answer beyond what your post is hitting on.

If you are "versioning" you would order the sequence of datasets in the concatenation. For instance, you might see something like:

Here is a simplified version of your code (changed so it can run stand alone):