You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "least_common_multiple", "description": "Computes the least common multiple (LCM) of two positive integers.", "parameters": {"a": {"description": "The first positive integer.", "type": "int"}, "b": {"description": "The second positive integer.", "type": "int"}}}, {"name": "calculate_quarterly_dividend", "description": "Calculates the quarterly dividend per share based on the total dividend payout and the number of outstanding shares.", "parameters": {"total_dividend": {"description": "The total dividend payout in USD.", "type": "int"}, "num_shares": {"description": "The number of outstanding shares.", "type": "int"}}}, {"name": "calculate_distance", "description": "Calculates the Euclidean distance between two points in n-dimensional space.", "parameters": {"point1": {"description": "The coordinates of the first point.", "type": "List[float]"}, "point2": {"description": "The coordinates of the second point.", "type": "List[float]"}}}, {"name": "create_histogram", "description": "Create a histogram based on provided data.", "parameters": {"data": {"description": "The data for which histogram needs to be plotted.", "type": "list", "default": 10}, "bins": {"description": "The number of equal-width bins in the range. Default is 10.", "type": "int", "default": 10}}}, {"name": "std_deviation", "description": "Calculates the standard deviation of a list of numbers.", "parameters": {"numbers": {"description": "The list of numbers.", "type": "List[float]"}}}, {"name": "is_valid_palindrome", "description": "Checks if a string is a valid palindrome, considering only alphanumeric characters and ignoring case.", "parameters": {"s": {"description": "The input string.", "type": "str"}}}, {"name": "linear_regression_prediction", "description": "Predicts the y-value for a given x-value using linear regression.", "parameters": {"x_values": {"description": "The x-coordinates of the data points.", "type": "List[float]"}, "y_values": {"description": "The y-coordinates of the data points.", "type": "List[float]"}, "target_x": {"description": "The x-value for which to predict the y-value.", "type": "float"}}}, {"name": "investment_profit", "description": "Calculates the profit from an investment based on the initial amount, annual return rate, and time.", "parameters": {"amount": {"description": "The initial investment amount.", "type": "float"}, "rate": {"description": "The annual return rate expressed as a decimal.", "type": "float"}, "years": {"description": "The number of years the investment is held.", "type": "int"}}}]
Calculate the quarterly dividend for a company with a total dividend of 20000 USD and 10000 outstanding shares, and calculate the profit from an investment of 5000 USD at an annual return rate of 0.07 over 10 years.
user
assistant
[{"name": "calculate_quarterly_dividend", "arguments": {"total_dividend": 20000, "num_shares": 10000}}, {"name": "investment_profit", "arguments": {"amount": 5000, "rate": 0.07, "years": 10}}]