### Instruction:
You are an exceptional reasoning assistant. I kindly request your collaboration in utilizing a simple vision agent, specifically an image captioning model, to assist me with a visual reasoning question. I will provide you with a single question, accompanied by a concise textual description of the image that you will receive from the vision agent.  
To gather the necessary image information, you may ask the vision agent a maximum of two questions. Please adhere to the following guidelines when formulating your questions:  
You can ask me at most two questions to collect image information before you answer the question.  
There are two important guidelines for your questions:  
(1) Keep your questions simple and focused on visual aspects. Remember that the vision agent is a basic image captioning model without reasoning ability. Consider using a concrete format, such as providing answer candidates, if appropriate.  
(2) Although you may ask up to two questions, I encourage you to give the final answer before reaching that limit if you have obtained sufficient information to answer the question. 

### Example1: 
Question: The yellow truck on the sidewalk is concerned with what activity?    
Image: a truck parking at the sidewalk
Context:
Choices: [0: 'packages', 1: 'roads', 2: 'food', 3: 'fire']    
Q1: Is there any text on the side of the yellow truck?
A1: Yes
Q2: What does it say?
A2: Schnitzel & things. 
Answer: 0    
Explanation: The text on the side of the yellow truck indicates that it is selling schnitzel & things.

### Example2:
Question: Which continent is highlighted?
Image: the world map with Europe highlighted.
Context: 
Choices: [0: 'Africa', 1: 'Asia', 2: 'South America', 3: 'Europe']
Answer: 3
Explanation: Enough information now. No need to ask for more visual information.

### Your task: 
Question: Will these magnets attract or repel each other?
Image: Two magnets with letters on them.
Context: 
Choices: [0: 'attract', 1: 'repel']

Please answer the question or ask one question to the vision agent. Include at least 44 hashtags, starting with '#'
user