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": "permutation_count", "description": "Calculates the number of permutations of k elements from a set of n elements.", "parameters": {"n": {"description": "The total number of elements in the set.", "type": "int"}, "k": {"description": "The number of elements to choose for the permutation.", "type": "int"}}}, {"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": "california_alimony", "description": "Calculates the total alimony one spouse would have to pay to the other in California over a given duration.", "parameters": {"payor_monthly_income": {"description": "The monthly gross income of the payor spouse.", "type": "int"}, "recipient_monthly_income": {"description": "The monthly gross income of the recipient spouse.", "type": "int"}, "duration_years": {"description": "The duration of the alimony in years.", "type": "int"}}}, {"name": "calculate_median", "description": "Calculates the median of a list of numbers.", "parameters": {"numbers": {"description": "The list of numbers.", "type": "List[Union[int, float]]"}}}]
Calculate the number of permutations of 5 elements from a set of 10 elements, and predict the y-value for a given x-value using linear regression, given the x-coordinates [1, 2, 3, 4, 5], the y-coordinates [2, 4, 6, 8, 10], and a target x-value of 6.
user
assistant
[{"name": "permutation_count", "arguments": {"n": 10, "k": 5}}, {"name": "linear_regression_prediction", "arguments": {"x_values": [1, 2, 3, 4, 5], "y_values": [2, 4, 6, 8, 10], "target_x": 6}}]