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However, the user's example might not have that clarity. Let me check the exact input again. The user says "replace words formatted v2. every word with 3 variants. Proper nouns stay. Only output text." Then the example given is "* Q: Is the Drev No input data". Maybe "Drev", "No" are the ones in brackets, but the user wrote "Drev" as is. So perhaps the user is asking how to process a text where certain words are in v2 format, and they want each of those words replaced by one of the variants, except proper nouns, which should remain. The problem is to create a system that can handle such replacements.

So, the user might be providing a sample where the original text has those placeholders, and they want to generate a version with each word replaced by one of its options, ensuring that proper nouns are not altered. For example, if there's a sentence like "The Apple store is busy.", then "Apple" is a proper noun, so it should stay, but "open" is replaced with one of the variants. Wait, but "Apple" in the brackets could actually be part of the options. Maybe the user needs to determine if the word in the brackets is a proper noun. This might require some NLP processing to identify proper nouns. aye meri zohra jabeen ringtone download pagalworld

Next word: "of" – variations could be "from", "out of", "among". Wait, "among" might not fit in some contexts, but it's possible. Moving on to "its" – "their", "the device's", "the unit's". Good options. However, the user's example might not have that clarity

So, in the example, if the input was something like "Is the Deriv None input data?" and the user wants to replace each var with one of the options, but leave proper nouns untouched. But how do I know which words are proper nouns? Maybe "Drev" is a proper noun here? Like a model name? Or is it a common noun that's just part of the options? This is unclear. every word with 3 variants

"Revitalize" can be "revitalize", "restore", or "recondition". "Maintain" could be "sustain", "preserve", "upkeep". I need to make sure the synonyms make sense in the context where they're placed. For example, "engine" can be "engine", "motor", "powerplant".