reckon | Infer a project 's version from your Git repository | Plugin library

It's not a vuetify or letter-spacing issue. This comes from font you are using. Vuetify uses Google’s Roboto font by default.

There's a playground at Google fonts with Roboto font. You may notice that the problem you mentioned is present here as well. By example, there's some space in Regular 400 @64px:

Let's test your code using a different font. By example, I'll use CSS font-family: serif !important; that fallbacks to Times New Roman at Windows platforms:

Looks fine, no spacings.

So one solution to fix your problem is to change the font. I believe that there are fonts that are more suitable for websites than Times and that do not have such a problem.

According to Vuetify docs, you can change a font for the whole project with one line in src/sass/variables.scss file. Keep in mind that this cause project to build much longer:

Facet-wrap will automatically label based on the values for the facet specified. In your case you are wrapping on the facet 'region,' so your plots will be labeled "Asia" and "Europe." If you want another label, this is generally accomplished with labeller as an argument to facet_wrap.

Short-circuit evaluation deals with evaluation of expressions. The expression is still there in the text of the C++ file, and it therefore must be compiled. If that expression contains a template instantiation, then that template must be instantiated. That's how compilation works (unless you use if constexpr, which you can't within that context).

If you want to prevent further instantiation, you have to do so via the rules of templates, not the rules of expression evaluation. So you need to use a partial specialization of the template, one which probably uses SFINAE techniques that is active when the condition is true. C++20 makes this easier with a requires clause.

Better still, turn IsPrime_Descend into a constexpr function.

Here are possible variants:

a) use stored property the same as in protocol (drawback: access via wrappedValue)

The thread sanitizer currently doesn't support std::atomic_thread_fence. (GCC and Clang use the same thread sanitizer, so it applies to both.)

GCC 12 (currently trunk) warns about it:

outcome_var and predictor_var are dataframes with one column which means they cannot be used directly as an argument in the auc function.

Just specify the column names and it will work.

Based on the code showed, when we do multiple pivot_longer sequentially, the rows gets expanded. If we want to do this in a single step for each key/value pair at once, an option is to_long

You could take an abstract approach by using an object as reference to the nested grouping properties and build the structure as wanted.

This approach works for any depth of grouping just by adding wanted keys to the keys array.

It use trie structure(a kind of tree) and time complexity is just O(m + o*n)(with your definition)(Linear time complexity with length sum of all strings)

If you are not familiar with this algorithm, implementation of this is quite complex. So you can use python library for aho-corasick pyahocorasick

More detail

Wikipedia

python aho-corasick library