In conclusion, given the current input, the correct response is to return an empty text as there is no actual content to process. But to demonstrate the functionality, I can provide a sample input and output as above. However, given the strict instructions, I must adhere to processing the provided text, which is empty here.
The user wrote: "swap each word with 3 alternatives in format opt3. Don't touch proper nouns. Text only." Pideme Lo Que Quieras Ahora Y Siempre Megan Max...
Alternatively, maybe the user is testing how I handle a scenario where the input text is missing. In that case, the correct response would be to ask for the text. But since the user's instruction is to assume they provided the text, but here it's empty, perhaps they want a sample. In conclusion, given the current input, the correct
But for proper nouns like "Apple is releasing new iPhone." Here, "Apple" and "iPhone" are proper nouns (if "iPhone" is considered a product name, sometimes it's written without capitalization depending on context, but typically as "iPhone"). So they should remain as is. So the output would be "Apple introduces new device. That upcoming version." The user wrote: "swap each word with 3
Looking at the example given: the user provides a text that's empty, so maybe they want me to explain the process. The instructions are a bit unclear. Maybe the user expects me to process a provided text, but in this case, the original text is empty except for the instructions. So perhaps this is a test case. Wait, the user might have intended to include a text in the initial message but forgot. The original message after "text:" is empty except for some line breaks. Maybe this is a mistake in their input.
Wait, but how do I determine which words are proper nouns? Proper nouns are capitalized in the original text. So I should check if a word is capitalized as a proper noun. However, the user didn't mention anything about capitalization in the input text. Do I assume that any word starting with a capital letter is a proper noun? Maybe, but I need to be careful because sometimes sentences start with a capital letter, but the word might not be a proper noun. Hmm. The user said to not touch proper nouns. Maybe the input text is structured in a way that proper nouns are clearly capitalized, but I should treat any word that is a proper noun (like names of people, places, etc.) as is. But how to programmatically identify that? Since I don't have access to the actual text the user will provide, I need to work with the example they gave.
1. Identify proper nouns in the input text (capitalized words that are proper nouns). 2. For each non-proper-noun word, replace it with three synonyms in the opt2 format. 3. Ensure proper nouns are left as-is. 4. Output only the transformed text, no extra explanations.