Goal: Learn how to implement methods using data structures.

Assignment: You are a software engineer in an avant$-$garde technology lab on Earth tasked with developing an intelligent system for managing a new generation of smart greenhouses. Each greenhouse is designed to optimize plant growth by adjusting its internal environment based on various sensors$.$ Your job is to create a program that analyzes data from these sensors to adjust the environment for optimal plant growth.

Your immediate task is to develop a function that helps in determining the need for watering plants based on soil moisture content and weather conditions. You will be handling data from two types of sensors placed inside and outside the greenhouse. This function will be a crucial part of the system, ensuring that plants receive the right amount of water without relying on pre$-$set schedules.

Assuming that two structures have been defined as such:

SoilSensor with attributes:

id $($string$)$len $($number of readings as int$)$moistureLevels $($array of percentages as doubles$)$

WeatherSensor with attributes:

id $($string$)$len $($number of readings as int$)$rainProbabilities $($array of percentages as doubles$)$

Implement a function named calculateWateringNeed that takes two arguments: a SoilSensor and a WeatherSensor. Consider the sensors can have a lot of readings, thus the structures should be passed as constant references. The function returns a double value representing the watering need level on a scale from $0$ to $10,$ where $0$ means no need for watering and $10$ indicates immediate watering is necessary.

The function should consider both the moisture levels of the soil and the probability of rain to decide the watering need. For simplicity, you can use a straightforward formula: subtract the moisture level and the rain probability from $100,$ and divide by $10.$ The average of these values determines the watering need.

Note: assume that both sensors always have the same number of readings. You can also assume the sum of moisture and rain probability never exceeds $100.$