Meh | \__/ | Configuration Management library

You could return the value.

result = example_data.groupby("id").apply(compute), but you'd have to play around with the (Multi)Index.

Thank Prograk:

You are importing useState wrong. Try importing useState from react ie. import React, {useState } from "react" – prograk

The code is now working! I leave the answer

Assumptions:

• if a string shows up under different tags (eg, name=ABCD and code=ABCD) then the 1st mask found by awk will be used to mask the string (ie, we won't prioritize the order in which tag/mask pairs are processed)
• strings (to be masked) could show up anywhere in a line
• when matching for non-tag substrings we'll use awk word boundaries (eg, when masking ABCD we'll also mask ABCD-XYZ but we won't mask ABCDABCD nor ABCD_XYZ)
• both files, along with an array of value/masked-value pairs, will fit in memory
• if OP provides a mask of 111111111... (all 1's) we'll go ahead and perform the (effective) no-op operation

General operation:

• process input file (eg, file-1) looking for 'tag' entries
• if we find any matching 'tag' entries we'll apply the proposed mask to the corresponding value
• for each value that is masked we'll keep a copy of said value, and its mask, in a new array
• for repeat values we'll apply the saved mask
• all lines, with or without tags/masked-data, are saved in an array
• END processing runs through our array of lines again, looking for any (word-boundaried) strings that were previously masked and if found, replace with the saved mask value
• in the case of a mask of 11111111... (all 1's) this END processing will re-mask the 'tag' entries, too (still, effectively, a no-op)
• all lines are then sent to stdout

Adding some lines to the sample input file:

You’re right, the documentation was misleading and incomplete. I have submitted a pull request that rewords it as follows:

Removed this part:

The toString() function you create must return a primitive, otherwise it will be ignored.

Replaced by:

The toString() function you create must return a primitive. If it returns an object and the method is called implicitly (i.e. during type conversion or coercion), then its result will be ignored and the value of a related method, valueOf(), will be used instead, or a TypeError will be thrown if none of these methods return a primitive.

I have found the original pull request and commit that added this wording. There is a review comment by the author in reference to this sentence which says:

See step 5.B.ii from https://262.ecma-international.org/9.0/#sec-ordinarytoprimitive

What the author was referring to is the consequence of the OrdinaryToPrimitive abstract operation in the specification: leaving Symbol.toPrimitive aside, when a value is coerced to a primitive, the two methods toString and valueOf (the methodNames) are prepared to be called in a specific order based on a type hint. And then:

1. For each element name of methodNames, do
   1. Let method be ? Get(O, name).
   2. If IsCallable(method) is true, then
      1. Let result be ? Call(method, O).
      2. If Type(result) is not Object, return result.

This step is a loop, iterating over the list of methodNames. It takes the next method from this list, checks if it is a function, calls it, and stores its result in result. Then it performs the type check. If the result is a primitive, i.e. not an object, this result is returned. Otherwise, the loop continues, effectively ignoring the result.

If the loop reaches the end without returning a value, a TypeError will be thrown.

In order to demonstrate this behavior, you have to have both methods:

There are multiple options potentially, but I'd recommend to use channels, for example tokio's mpsc channels.

The idea is to create a dedicated thread for talking with the device, and only use Handle in that thread. The events and commands that you want to receive or send can be posted to the respective channel, and handled in your main "controller" thread.

Check out this tutorial.

You can do something like this:

The problem is not the lack of branch lengths in the tree. What the error message is saying is that the tree does not have the tips that correspond to the names of values in the trait variable. glacialpath must be a named vector and the names must be present in the phylogeny.

In general, a good practice is to check for possible problems in these three areas.

1. phylo is not a correct phylo format.
2. phylo should contain tips with names corresponding to those in the metadata.
3. Related to #2, glacialpath lacks names.

phytools::phylosig requires that the tree is in correct phylo format. Try to explore the tree with str(phylo), and see whether all values in phylo$edge.length are numeric and there are no missing values.

What are the samples the phylogenetic signal should be calculated for? Assuming that the column sample in the metadata contains names, reduce the tree to the size of the available data:

With a dict comprehension to grab all attributes of hub.Image which are upper-case only: