用Python识别Unicode字符串中表情符号的最快方法

Question

Hy volk,

is there any fastest ways to recognize if given char is emoji?

Till this moment i found the following solution:

import emoji
character in emoji.UNICODE_EMOJI

But it seems to be a not the best one, because to check if given char is in the dict, because you need to compute hash function and make lookup. What I mention, maybe it it possible just to check, if emoji Code point is inside of some range of Unicode code points, which are emojis. Any ideas, how to implement it?

Thx u in advance!

Answer 1

If what you are looking for is faster lookups in a list and you don't have any duplicates, you can try replacing list() with a set() instead.

Similar problem: https://stackoverflow.com/a/5993659/7570485

Update:

As far as I know, you can't get any faster lookups than a dict() . Average time complexity for dict lookup is O(1) . You could try intern() in sys module to gain a small performance boost.

Source: https://stackoverflow.com/a/40694623/7570485