I want to call a Python script as a child process from a C program using fork and execv. I have tested it calling bin/ls and it works: So I changed the C code to call the Create_Buffer() function in this Python file: The Python script has two functions; I want to call Create_Buffer(), so I changed my C file
Tag: c++
Why does the same algorithm result in different outputs in C++ & Python?
I am running a small code in which there are periodic boundary conditions i.e.,for point 0 the left point is the last point and for the last point zeroth point is the right point. When I run the same code in Python and C++, the answer I am getting is very different. Python Code The output in Python 3.7.6 version
Interpret Python bytecode in C# (with fine control)
For a project idea of mine, I have the following need, which is quite precise: I would like to be able to execute Python code (pre-compiled before hand if necessary) on a per-bytecode-instruction basis. I also need to access what’s inside the Python VM (frame stack, data stacks, etc.). Ideally, I would also like to remove a lot of Python
How to kill C pthreads created by python ctypes.LoadLibrary
The module I’m using loads C library via ctypes.LoadLibrary in __init__ and calls a function which creates two processes using pthread_create C api. Thread IDs are not stored anywhere. These processes contain while(1) loops that read and write to serial port. I want to be able to kill the library threads, use said serial port for other purposes and then
How to generate random binary numbers 0 or 1 with length of N and with option to control the probability of having 0 or 1?
I want to generate random binary numbers (0 or 1) having N length size. The tricky part is that, It should be able to control the probability of having either more 1 or 0. For example, I want total 100 random numbers with 0 having probability of 40% and 1 having probability of 60%. Please help. Answer A general solution
How to draw multi-color segmented circle using OpenCV?
What is the best way to draw multi-color segmented circle using OpenCV like below? What I found, it can be: Using cv.fillPoly Many points are required for an arcs accurate drawing, the number of segments is several hundred; Using cv.line by rotating the line in a circle; Using cv.line by rotating whole image like in this similar case. Answer Using
Interrupting a Python C-extension with Ctrl-C using ctypes
I am creating a Python wrapper for a C-extension which is a driver for a sensor. I need to pass the Ctrl-C interrupt signal with Python to the driver so it ends the current acquisition phase and does not start a new one. I found these two related subjects : Allowing Ctrl-C to interrupt a python C-extension Allowing Ctrl-C to
Convert a normal python code to an MPI code
I have this code that I would like to edit and run it as an MPI code. The array in the code mass_array1 is a multi-dimensional array with total ‘iterations’ i*j around 80 million. I mean if I flatten the array into 1 dimensional array, there are 80 million elements. The code takes almost 2 days to run which is
Install conan package without requirements?
Is there a possibility to install a conan package without requirements? I build a metapackage, which only contains some configurations and depends on other binary packages in the requires section. Now I want to access only the configurations w/out downloading all dependencies, Is there a possibility to do so? conan download downloads a package, but won’t install it, e.g. there
mask and apply numpy where function to a vector in c++
I’m using C++ and want to combine the masking of a vector and the search for the indexes where a condition is verified, similarly to the numpy where function. Here’s an example: After using masked should look like this: masked = {62, 62, 70, 65} Afterwards, I want to find the indexes where id vector elements are greater than masked