You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input

Example input: ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies. , USER: Zodiac the movie about a serial killer from the '60s or '70s, around there. , ASSISTANT: Zodiac? oh wow ok, what do you like about that movie, classify_text: And I just think serial killers, in general, are interesting, so the movie was really good. And it was just neat to see that world. Like it went really in-depth. It was like almost 3 hours long, so you got to really feel like you were a part of that world and time period. And see what the detectives and the police did and the investigators.
Example output: USER
Example explanation: Based on last conversation in which the ASSISTANT ask's a question for which it waits for a reply from the "USER". We can classify this conversation as "USER" as it needs to respond for the given question.
Q: ASSISTANT: what kind of movies do you like? , USER: Well, my favorite kinds of movies are pretty much maybe sci-fi dramas like The Matrix and Mr. Nobody. I also like comedies a lot, and , USER: Guess some adventure movies are okay. , ASSISTANT: what do you like about these kinds of movies? , ASSISTANT: can you name a movie that you really liked? , USER: I really liked Mr. Nobody because it told the story of making choices. It had It had like a kid, his parents got divorced. And he had to choose to go with his mom or his dad. And it shows you different different paths that he took. It was three different paths so., classify_text: Just so like pre-law universities or something.
A:
USER