User question:
user: I'm currently working on a machine learning project that involves measuring the similarity between different data points. I've just computed two vectors and would like to understand how similar they are. Could you calculate the cosine similarity between the vectors [1, 2, 3] and [4, 5, 6] for me? Additionally, as part of my financial analysis, I'm tracking the performance of certain tech companies, and I need to know the latest trading price for Apple's stock. What's the current price of the 'AAPL' stock?

Available functions:
name: calculate_cosine_similarity
description: Calculates the cosine similarity of two vectors.
parameters: type: dict
properties: vectorA: type: array
items: type: float
description: The first vector.
vectorB: type: array
items: type: float
description: The second vector.
required: vectorA
vectorB
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name

Ground-truth function call(s):
calculate_cosine_similarity(vectorA=[1, 2, 3], vectorB=[4, 5, 6])
get_stock_price_by_stock_name(stock_name='AAPL')