division-by-zero | Cyberpunk platformer | Game Engine library

I have a string like 8/c123*c456 where c123 and c456 are variables containing a float. I use Regex to separate the string into a list ['8', '/', 'c123', '*', 'c456']. I replace 'c123' and 'c456' with a string corresponding to their value (like '4.0' for example). I then concatenate the string and try to evaluate it using the class NumericStringParser from this question (Evaluating a mathematical expression in a string).

The problem is when the value of one of the variables is 0 and I end up trying to divide by 0 in the operation. I would like that operation to return 0.

I saw the answers from this question Make division by zero equal to zero but I don't know how I can use them.

I have reset my mac recently. Rails won't install I typed

I am trying to implement a WGAN-GP model using tensorflow and keras (for credit card fraud data from kaggle).

I mostly followed the sample code that is provided in keras website and several other sample codes on the internet (but changed them from image to my data), and it is pretty straightforward.

But when I want to update the critic, the gradient of loss w.r.t critic's weights becomes all nan after a few batches. And this causes the critic's weights to become nan and after that the generator's weights become nan,... So everything become nan!

I used tf.debugging.enable_check_numerics and found that the problem arises because a -Inf appears in the gradient after some iterations.

This is directly related to the gradient-penalty term in the loss, because when I remove that the problem goes away.

Please note that the gp itself is not nan, but when I get the gradient of the loss w.r.t critic's weights (c_grads in the code below) it contains -Inf and then somehow becomes all nan.

I checked the math and network architecture for possible mistakes (like probability of gradient vanishing, etc.), and I checked my code for possible bugs for hours and hours. But I'm stuck.

I would very much appreciate it if anyone can find the root of the problem

Note: Bear in mind that the critic's output and loss function is slightly different from the original paper (because I'm trying to make it conditional) but that has nothing to do with the problem because as I said before, the whole problem goes away when I just remove the gradient penalty term

This is my critic:

It occurred to me that PL/SQL might have a more concise way of doing this:

I have a program where division-by-zero can occur, but in all cases I want this to return 0. My current logic looks like:

My post is related to the following questions:

Avoid division by zero between matrices in MATLAB

How to stop MATLAB from rounding extremely small values to 0?

I am writing a matlab function that I am exporting with codegen. When codegen executes division between two numbers, both primitive doubles, codegen mentions that the result is a type of :Inf x :Inf. Here is my code snip:

I am trying to install Nokogiri on my MacOS Catalina 10.15.1 system.

So I am aware this has been answered before,

here:

SSRS 2008 - Dealing with division by zero scenarios

and here:

https://sqldusty.com/2011/08/01/ssrs-expression-iif-statement-divide-by-zero-error/

and I'm sure these work for what I need. However, I'm struggling where to put the different parts of the Syntax as

A) I'm not very good at this but I am trying my best!

and

B) The code is awkwardly long

This is my code which produced #Error

PROBLEM

I am trying to download ruby 2.6.1 on Mac OS Mojave 10.14.3 but I keep getting failed builds and I'm not sure what the error is.

Please help! Completely lost :(

Current setup: .

I wish to divide an array numerators by an array denominators, but some elements in denominators may be zero. The resulting element at those indices should be zero as well. Is there a function in NumPy which picks elements from numerators / denominators where denominators isn't zero, and from a zero array otherwise?

I looked into boolean masking, but that would take multiple lines, since I would have to mask denominators in order to not get any division-by-zero errors, as well as the result in order to set those elements to zero.

I could swear I've seen such a function but I can't find it anymore.