and as a result of this specification, you will get a fast, reliably correct algorithm that finds them. for example, if you have a notebook full of passwords, which you want to strip out before sharing, you can write a few fragments of a regex that each describe a property of passwords (e.g., contains at least 8 characters .{8,}, at least one uppercase letter _*[A-Z]_*, at least one digit _*[0-9]_*, and at least one special symbol _*[!#$@%^*]_*). and you can toggle each one on and off to see how it affects the matches. this is a nice intuitive way to write regexes, since intersection preserves the meaning of the original patterns and simply combines them, it works exactly as you would expect!
На помощь российским туристам на Ближнем Востоке ушли миллиарды рублей20:47
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Gyllenhaal and her cast don't just dust off a classic tale for a safe money grab. (Looking at you, Disney live-action remakes!) They tear various Frankenstein iterations to bits, then create an exquisite corpse of the pieces, festooning it with elements from other films about violence, revolt, and violation. The result is a film that is utterly electrifying, sure to spark something in hearts young and old.
results = extractor.extract(text, schema)