uva | A set of problems | Learning library

Up front: StéphaneLaurent's answer is the first thing you need to fix. Below is not causing that error, though I still recommend the changes for other reasons.

In your rows and cols functions, you are accessing input$ directly. This is wrong for at least two reasons:

1. (general functional programming) Your functions are breaching scope, reaching out to things they were not explicitly passed. This can be a bit about programming style, but functions that use variables not explicitly passed to it can be difficult to troubleshoot.

2. input$ can only be accessed from within a reactive*, observe*, or render* block (i.e., something that is shiny-reactive). Nothing outside any of those should try to do anything with input$ or output$.

As a fix, make the functions agnostic to shiny by making them self-contained and just working scalars/vectors. (I'll also reduce the logic a little.)

Maybe you could change your code to this:

Because x only ranged from 0 to len(numbers) - 1, counter cannot be equal to len(numbers) because even if everytime in the for x in range(len(numbers) - 1) loop counter increased by 1, the maximum it can get is still len(numbers) - 1. So change your if statement to

You're using C++ style comments in your code, i.e. //.

Many C compilers will allow these types of comments as an extension, however strict ANSI C does not. You'll need to use C style comments /* ... */.

So instead of this:

There is no upper limit. At some point your sensor will be saturated.

As the datasheet states this sensor is for solar irradiation. You should not use focussing optics of course. So in the intended use case the sensor will probably not saturate.

It returns the UVA and UVB levels as a 16bit value.

The value is returned as counts/µW/cm²

To get the UV index from a irradiation value divide it by 25W/m²

The highest UV index ever measured was 43.3

Typically the values range between 0 and 12. Thats a maximum of 300mW/m²

If you just want to have a new resetData array with check: true for item with id: 5.

This:

Here is the solution code. Notes:

1. You have to use if (a == 0 && b == 0 && c == 0) instead of if (a == b == c == 0).
2. You have to use lower case ex: right not Right.

PyTorch doesn't use the system's CUDA library. When you install PyTorch using the precompiled binaries using either pip or conda it is shipped with a copy of the specified version of the CUDA library which is installed locally. In fact, you don't even need to install CUDA on your system to use PyTorch with CUDA support.

There are two scenarios which could have caused your issue.

1. You installed the CPU only version of PyTorch. In this case PyTorch wasn't compiled with CUDA support so it didn't support CUDA.

2. You installed the CUDA 10.2 version of PyTorch. In this case the problem is that your graphics card currently uses the 418.87 drivers, which only support up to CUDA 10.1. The two potential fixes in this case would be to either install updated drivers (version >= 440.33 according to Table 2) or to install a version of PyTorch compiled against CUDA 10.1.

To determine the appropriate command to use when installing PyTorch you can use the handy widget in the "Quick start locally" section at pytorch.org. Just select the appropriate operating system, package manager, and CUDA version then run the recommended command.

In your case one solution was to use