system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'log_food', 'description': 'Logs a food item with details about the portion size and the meal it is associated with. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'required': ['food_name', 'portion_amount', 'meal_name'], 'properties': {'food_name': {'type': 'string', 'description': 'The name of the food to log.'}, 'portion_amount': {'type': 'float', 'description': 'The amount of the food item that was consumed, in specified units.'}, 'portion_unit': {'type': 'string', 'description': "The unit of measure for the portion amount. Choose a unit such as 'grams', 'ounces', 'pieces', 'cups', or 'tablespoons'.", 'enum': ['grams', 'ounces', 'pieces', 'cups', 'tablespoons'], 'default': 'grams'}, 'meal_name': {'type': 'string', 'description': "The name of the meal with which the food item is associated. Options include 'breakfast', 'lunch', 'dinner', or 'snack'."}}}}]


user: For breakfast I had a 12 ounce iced coffee and a banana.

For lunch I had a quesadilla

Breakfast four ounces of asparagus, two eggs, one piece of gluten free bread.

Available functions:
[{"name": "log_food", "description": "Logs a food item with details about the portion size and the meal it is associated with.", "parameters": {"type": "dict", "required": ["food_name", "portion_amount", "meal_name"], "properties": {"food_name": {"type": "string", "description": "The name of the food to log."}, "portion_amount": {"type": "float", "description": "The amount of the food item that was consumed, in specified units."}, "portion_unit": {"type": "string", "description": "The unit of measure for the portion amount. Choose a unit such as 'grams', 'ounces', 'pieces', 'cups', or 'tablespoons'.", "enum": ["grams", "ounces", "pieces", "cups", "tablespoons"], "default": "grams"}, "meal_name": {"type": "string", "description": "The name of the meal with which the food item is associated. Options include 'breakfast', 'lunch', 'dinner', or 'snack'."}}}}]

Ground-truth function call:
[{"log_food": {"food_name": ["iced coffee"], "portion_amount": [12], "portion_unit": ["ounces"], "meal_name": ["breakfast"]}}, {"log_food": {"food_name": ["banana"], "portion_amount": [1], "portion_unit": ["pieces"], "meal_name": ["breakfast"]}}, {"log_food": {"food_name": ["quesadilla"], "portion_amount": [1], "portion_unit": ["pieces"], "meal_name": ["lunch"]}}, {"log_food": {"food_name": ["asparagus"], "portion_amount": [4], "portion_unit": ["ounces"], "meal_name": ["breakfast"]}}, {"log_food": {"food_name": ["eggs"], "portion_amount": [2], "portion_unit": ["pieces"], "meal_name": ["breakfast"]}}, {"log_food": {"food_name": ["gluten free bread"], "portion_amount": [1], "portion_unit": ["pieces"], "meal_name": ["breakfast"]}}]