Monocle | Optics library for Scala | Functional Programming library

The idiomatic way to write that would be this:

the part you look like is inside a huge tag

you can get the whole section by using soup.find('sec-header') but you will need to parse the section manually, something like this works, but it's some dirty job :

(view it in replit : https://repl.it/@gui3/stackoverflow-parsing-html)

The alternative notation you tried is a two-step process that first creates a lambda function using prop('a') and then immediately invoking it with ...(stateLens). The prop() function only receives a key name 'a', but cannot determine the object it belongs to as it only has the string parameter 'a' to work with. So, in the type definitions of prop the type A will be resolved to never because it's not assigned and cannot be inferred.

I didn't test this, but you probably can do the same by manually passing along the type like

I think, what you might want is a Polymorphic Traversal or PTraversal.

A Traversal says, "If I have a function A => A, I can use modify to obtain a function S => S that uses the original function to modify all of the As that appear in S".

By comparison, a PTraversal says, "if I have a function A => B, I can use modify to obtain a function S => T", this converts all of the As in S to B, producing a T.

Mnemonically, the type parameters of PTraversal are:

• S the source of the PTraversal
• T the "modified" source of the PTraversal
• A the target of the PTraversal
• B the "modified" target of the PTraversal

PTraversals are useful, because they let you write things such as the following:

Your switch case need update, it need to loop and the case is String not Array

After reading "Error: write after end" with csv-write-stream I noticed that the problem might be that the variable addThing is not created new on every consecutive call.

It was allocated in memory.

So the solution:

We can use sub to remove the -\\d+ and split the 'cds' based on that

You can use tidyverse to solve the problem:

You can access the Pseudotime and "expectation" values that comprise the curve in plot$data (monocle just plots Pseudotime against spline-smoothed mean expression for the specified genes).

You can then use approxfun to do 2d interpolation and evaluate a grid of points along the range of pseudotime.

NOTE: I am not sure this is a sensible thing to do. Pseudotime is a fairly loose and wooly thing, and reading deeply into minute changes in pseudotime is likely to lead to pretty shaky conclusions.

In any case, if you're interested in using this type of approach I would just read the code on github as it should be fairly easy to reproduce the output.