TPB | : cloud : Python API for ThePirateBay | REST library

I'm trying to start using Cupy for some Cuda Programming. I need to write my own kernels. However, I'm struggling with 2D kernels. It seems that Cupy does not work the way I expected. Here is a very simple example of a 2D kernel in Numba Cuda:

I am a begeinner in R and would like to make multiple fisher tests on mutiple row of a dataframe and add the p value/odd ratio on a barplot but need some help.

Here are my data

I need to multiply a matrix with its transpose and I am running out of memory on my GPU with eror message numba.cuda.cudadrv.driver.CudaAPIError: [2] Call to cuMemAlloc results in CUDA_ERROR_OUT_OF_MEMORY

I am expecting the size of my matrix to be around 10k rows and 100k columns so multiplying it with its trnspose will give a result of a square matrix of 10k rows and 10k columns. The matrix only contains 0 and 1.

This is the script that I am running.

I have created a simple PHP script using the simple_html_dom.php class. I fetch some information about movies from a website. I have one foreach loop inside another foreach loop. When I try to display the moviename inside the foreach loop I get the last moviename. What I want to achieve is to get each one of the unique movienames in each item. The problem is with the $movie variable.

(When i echo the $movie var on line 27 i get the correct result but I want to have each moviename inside the youtube links on line 33…)

I'm having trouble with a Numba-based GPU kernel. Its works on certain size arrays (800 x 600), but fails on other sizes (1200 x 600).

Lately I've been trying to get into programming for GPUs in Python using the Numba library. I have been reading up on it on their website using the tutorial there and currently I'm stuck on their example, which can be found here: https://numba.pydata.org/numba-doc/latest/cuda/examples.html. I'm attempting to generalize the example for the fast matrix multiplication a bit (which is of the form A*B=C). When testing I noticed that matrices with dimensions that are not perfectly divisible by the number of threads per block (TPB) do not yield a correct answer.

I copied the code below from the example at https://numba.pydata.org/numba-doc/latest/cuda/examples.html and created a very small test case with 4 by 4 matrices. If I choose TPB=2 everything is fine, but when I set TPB=3 it goes wrong. I understand that the code goes out of the bounds of the matrices, but I am unable to prevent this from happening (I tried some if statements on ty + i * TPB and tx + i * TPB, but these did not work.

I have a file with the following content. it is the result of a query in an equipment, so it is expected that some input are not found in the database. The following examples are the result of successful and unsuccessful queries. I mean that the second example does not have all the information that I want to capture into the variables, so i want to ignore this result and set the variables with null/empty values.

The following code does the following:

1. Accesses a URL with the FIRST date
2. Closes the "Understanding origins" pop-up window by clicking on SKIP
3. Click on the "Download data" button
4. Opens a new tab with the NEXT date
5. closes previous tab (FIRST date URL)
6. TRIES to click on "Download data" again

The problem I have is on number 6. It gives me the "element click intercepted" error, and I assume it's because it thinks a NEW "Understanding origins" pop-up window appeared.

However, no pop-up window appears this time, unlike the first time I opened the browser (FIRST date URL). I even tried using the same code to click on the SKIP button this time, but it still gives me the same error.

How can I get around this and be able to click on the "Download data" button every time I open a new tab? Note: I'm opening thousands of tabs, one at a time here.

My code:

The following code does the following:

1 Opens a specific URL (for the first date YYYY-MM-DD);

2 getURL() generates all URLs with all dates in a specific date range (starting from the second day);

3 Opens new tab with the first date generated by getURL();

4 Goes back to previous tab and closes it;

5 Repeat steps 3 and 4.