-coccovision- Snoopy--39-s Nude Euro Beaches Vol. 20 Hd [ 2K ]

Wait, in the user's instruction, they wrote "each term [original term] with 3 synonyms in b format". This suggests that for each original term, we provide three synonyms, and the original term is replaced with those three, possibly including it as the first option. But the example given in the user's message shows a where 'a' is the original term, and 'b' and 'c' are synonyms. So for example, if the original term is "happy", the output would be content, providing three synonyms with the original term as the first option. But that would make three terms total (original plus two synonyms). Wait, but the user said "3 synonyms", so maybe the original term is not included. So content would be three synonyms total, with the original term excluded. That's conflicting.

First, I need to identify all the terms in the text. Terms could be nouns, verbs, adjectives, or other parts of speech. Proper nouns like names of people, places, or brands should remain unchanged. For each term that's not a proper noun, I need to find three synonyms. -CoccoVision- Snoopy--39-s Nude Euro Beaches Vol. 20 HD

Looking at the user's example: "each term with 3 synonyms in c format." So the original term is the first option, followed by three synonyms? Wait, the format b would be the original term and two synonyms, totaling three options, unless they mean three synonyms in total. Hmm. Wait, in the user's instruction, they wrote "each

Given that, maybe it's safest to include the original term as the first option, followed by two synonyms, making three options in total. For example, elated would be four options, but the user's example is c, which is three options. Therefore, maybe the user wants the original term plus two synonyms, making three options. Wait, but the instruction says "3 synonyms", so perhaps the original term is not considered a synonym. So the three options are all synonyms, not including the original term. So for the term "happy", the output would be content without "happy". However, this requires that the model can find three synonyms for each term, excluding the original. So for example, if the original term is

Now, I need to make sure that proper nouns are left as is. For example, if the term is "London", I don't replace it. Only non-proper nouns get the synonym treatment.