Swarm simulation frameworks in Drone Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize the swarm simulation environment.

Drone Programming

swarm = SwarmSimulation([1]=10)

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Anum_drones

Bspeed

Caltitude

Dbattery_life

Attempts:

3 left

💡 Hint

Common Mistakes

Using speed or altitude instead of the number of drones.

The parameter num_drones sets how many drones are in the swarm.

2fill in blank

medium

Complete the code to set the communication range for drones in the swarm.

Drone Programming

swarm.set_communication_range([1])

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A500

Brange

C1000

Dsignal_strength

Attempts:

3 left

💡 Hint

Common Mistakes

Passing variable names instead of numeric values.

The method set_communication_range expects a numeric value for the range in meters.

3fill in blank

hard

Fix the error in the code to update drone positions in the simulation loop.

Drone Programming

for drone in swarm.drones:
    drone.update_position([1])

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Aposition

Bvelocity_vector

Cspeed

Ddirection

Attempts:

3 left

💡 Hint

Common Mistakes

Passing only speed or direction separately instead of a vector.

The update_position method requires a velocity vector to calculate the new position.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps drone IDs to their battery levels if battery is above 20%.

Drone Programming

battery_status = {drone.[1]: drone.[2] for drone in swarm.drones if drone.battery > 20}

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Aid

Bbattery

Cposition

Dstatus

Attempts:

3 left

💡 Hint

Common Mistakes

Using position or status instead of id or battery.

The dictionary keys are drone IDs and values are battery levels.

5fill in blank

hard

Fill all three blanks to filter drones with speed greater than 5 and create a dictionary of their IDs and current positions.

Drone Programming

fast_drones = {drone.[1]: drone.[2] for drone in swarm.drones if drone.[3] > 5}

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Aid

Bposition

Cspeed

Dbattery

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up battery with speed or position.

This comprehension creates a dictionary with drone IDs as keys and positions as values, filtering only drones moving faster than 5 units.