Python: How to efficiently find the intersection of multiple arrays without using set operations?
I recently switched to I'm getting frustrated with I'm updating my dependencies and After trying multiple solutions online, I still can't figure this out... I need some guidance on I'm currently working on a project where I need to find the intersection of multiple arrays, but I'm required to avoid using any `set` operations due to performance constraints. I'm dealing with large arrays where maintaining the original order of elements is crucial. The arrays can also contain duplicates, and I want the resulting intersection to only include unique elements that appear in all arrays. I've tried using nested loops, but that quickly becomes inefficient as the number of arrays increases. Here is my current attempt: ```python arrays = [ [1, 2, 3, 4, 5], [4, 5, 6, 7, 8], [5, 4, 9, 10] ] intersection = [] for item in arrays[0]: if all(item in arr for arr in arrays[1:]): intersection.append(item) print(intersection) ``` While this works, I noticed that it becomes significantly slower as the number of arrays increases. For example, when I test with 10 arrays of length 1000, it takes several seconds to complete. I also considered using a dictionary to count occurrences, but I'm unsure how to implement that while preserving the unique values across all arrays. Is there a more efficient way to achieve this without sacrificing performance? Any advice on optimizing the algorithm or alternative approaches would be greatly appreciated! I'm using Python LTS in this project. I'd love to hear your thoughts on this. I'm working on a desktop app that needs to handle this. Any ideas how to fix this? I recently upgraded to Python LTS.