I was writing code for the simulation of the fluid dynamics of a layer of water. It has a function of solid_liquid_layer_angular_velocity_change: def solid_liquid_layer_angular_velocity_change( ...

I'm writing some Hamiltonian evolution code that relies heavily on matrix multiplication, so I've been trying to learn about developing for a GPU using python. However, when I run these lines of code ...

I'm using Python 3.12.11 with Numba 0.61.2 on Ubuntu 22.04.5 and AMD Ryzen 7 3800X CPU. This benchmark: import numpy as np, timeit as ti, numba as nb @nb.njit(fastmath=True) def f1d(img, w): fl = ...

I want to have a factory method that calls a cfunc using numpy arrays. I am trying to pass the numpy arrays by using a ctype pointer. Since my original code is rather complicated I have made a simple ...

I'm trying to wrap some GSL (GNU Scientific Library) functions using Numba. I'd like to avoid C glue code wrappers and to be able to cache and extend the wrapped functions. Here’s a simplified ...

This Python 3.13.5 script with numpy 2.2.6 and numba 0.61.2: import numpy as np, numba as nb @nb.njit(fastmath=True) def f(a, b): return np.histogram(a, 10, weights=b) a = np.random.randint(0, 256,...

The problem is illustrated by the following script, which works correctly if MKL is used for linear algebra operations: from numba import njit, prange from numpy import random, dot, empty from ...

This Python 3.12.7 script with NumPy 2.2.4 and Numba 0.61.2: import numpy as np, timeit as ti, numba as nb def f0(a): p0 = a[:-2] p1 = a[1:-1] p2 = a[2:] return (p0 < p1) & (p1 > p2) ...

I have a ML problem where I want to leverage the power of Support Vector Classifiers (SVC) or any other 2-class classifier and compare them to my NN models. The probelm is, that binary classifiers are ...

Aim: I want to finetune parakeet v2 model to a different dataset. I picked LJ dataset just to make myself familiar with the finetuning process. For doing this I ran the following notebook This works ...

I am trying to pass a list of jitclass objects to a jitted function, but I've been unable to find a suitable type signature for njit. I don't understand well how Numba thinks, so I would really ...

I'm trying to use the %%scalene cell magic in a Jupyter Notebook running on GitHub Codespaces to profile a Numba-accelerated implementation of the Mandelbrot set. However, when I run the following ...

I am attempting to write a fast numba guvectorized function to use with in Polars (see here). I've simplified things down to examples below. Immediately below is an example that works fine: import ...

I find this behavior quite counter-intuitive although I suppose there is a reason for it - numba automatically converts my numpy integer types directly into a python int: import numba as nb import ...

I have written four functions that modify a square 2D array in place, it reflects half of the square array delimited by two sides that meet and the corresponding 45 degree diagonal, to the other half ...