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Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
Feather - A collection of simply beautiful open source icons with an emphasis on simplicity, consistency and readability. - Source: dev.to / 9 months ago
In this article, we’ll walk you through using Feather-inspired animated icon libraries in React applications and guide you through setting up a React project, adding and customizing icons using various libraries, and handling common issues like double rendering. - Source: dev.to / 10 months ago
Feather – Simply beautiful open source icons (feathericons.com). Source: 11 months ago
Select the Icon Theme. Blueprint is the default for Roam Research. Roam Studio provides Feather Icons. Source: about 1 year ago
As for the icons, grab 'em at Feather or SVGRepo. Source: about 1 year ago
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