legit | esoteric programming language where programs | Code Editor library

So I think for this you should create a wrapper component that does the check on it's own and then renders out stuff so that you don't need to repeat it for each page.

It was quite tricky to figure out. What happens is that the interpolation function has to fill with nans so the interpolation works, but then replace remaining nans (coming eg from when the whole fp vector is nan) with finite values. Then applying the interpolated mask will hide these values anyway. Here is how it goes:

The unused_results lint doesn't get fired for macro expansions for external macros. This is by design, because this lint can be very noisy, and you can't control the expansion of external macros.

If you need that, your best bet is to mark your function as #[must_use], then #![deny(unused_must_use)]. Because the unused_must_use lint does get fired for external macros, it will work.

If you can't control the function definition, a neat trick you can use is to define a dummy function whom only job is to trigger the lint:

One way of doing this is to combine the two 1D arrays into a 2D array with 2 columns (as in your example):

Apparently V7.3 is not the only incompatible mat file version. As stated in the RDocuments,

readMat: Reads a MAT file structure from a connection or a file Description

Reads a MAT file structure from a connection or a file. Both the MAT version 4 and MAT version 5 file formats are supported.

And long story short, version 4 and version 5 cannot save such large dataset in one file. I think at least 2 solutions are straight forward:

1. Exchange data in a different file format, e.g. HDF5 or SQlite. Such files are well supported both in R and matlab and do not have the compatibility issue.

2. Save mat file in matlab in version 4 with the '-v4' switch, but there is an upper size limit in version 4, so you'll likely need to split you data across multiple files.

This appears to be a scam.

Searching for that code, I can find similar code here and here.

The code is intentionally difficult to read, but the idea appears to be that when it detects that page speed is being measured (seemingly by checking the User-Agent string), it loads an empty page; which will obviously be faster. I'm not sure what it's doing with script and link tags, so this variant might be a little different, but that's what they're reporting on Shopify.

I would be extremely suspicious based on that first line alone though. Any time you have strings with information that's encoded oddly embedded in the string, there's the potential that it's being used to hide information. Here, they appear to be trying to hide the fact that they're checking the user-agent string for 'Chrome-Lighthouse' ('\x43\x68\x72\x6F\x6D\x65\x2D\x4C\x69\x67\x68\x74\x68\x6F\x75\x73\x65'), but it could have also been code that stole session cookies, or replaced links on pages to point to malicious sites. Be very cautious of code that appears to be evading human or other static detection.

From a purely pedantic point-of-view, the code has undefined behavior starting with the iteration with i equal to 3:

i_ptr + 3 points one-past-the-array in the first element of v and so you are not allowed to dereference it.

Pointer arithmetic beyond that, i.e. i_ptr + 4, has undefined behavior because pointer arithmetic is only allowed inside an array and one-past-the-array.

The int arrays of different elements of v do not form a larger combined array of ints. They cannot be treated as such.

The above holds even if std::array has the same size as int[3] and therefore has no other padding or members aside from the array.

In case of the struct version, undefined behavior occurs already when dereferencing i_ptr + 1, the one-past-the-object pointer of v[0].i.

ImageFolder inherits from DatasetFolder which has a class method find_classes that is called in the constructor to initialize the variable DatasetFolder.classes. Thus, you can call trainset.classes without error.

However, ConcatDataset does not inherit from ImageFolder and more generally does not implement the classes variable by default. In general, it would be difficult to do this because the ImageFolder method for finding classes relies on a specific file structure, whereas ConcatDataset doesn't assume such a file structure such that it can work with a more general set of datasets.

If this functionality is essential to you you could write a simple dataset type that inherits from ConcatDataset, expects ImageFolder datasets specifically, and stores the classes as a union of the possible classes from each constituent dataset.

You can use git annotate:

https://git-scm.com/docs/git-annotate

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