class Farm:

company_name = "Orgo"

def __init__(self,name,owner,country,size,num_of_livestock,num_of_workers,assets,compatible_livestock):

self.name = name

self.owner = owner

self.country = country

self.size = size

self.num_of_livestock = num_of_livestock

self.num_of_workers = num_of_workers

self.assets = assets

self.compatible_livestock = compatible_livestock

def __gt__(self,other):

if(self.assets > other.assets):

return True

return False

def __eq__(self,other):

if(self.name == other.name and self.owner == other.owner):

return True

else:

return False

def __repr__(self):

return self.name

raw_farm_data = [

# name, owner, country, size, number of livestock, number of workers, assets, compatible livestock

['2316 TA Family Farm', 'Melinda McDaniel', 'Atlanta, GA, USA', '1600', '3000', '7', '6000000', {'Dog', 'Goat', 'Pig', 'Python', 'Cattle', 'Donkey'}],

['Schrute Beets Farm', 'Dwight Schrute', 'Scranton, PA, USA', '300', '860', '4', '55000', {'Pig', 'Llama', 'Cattle', 'Dog', 'Deer'}],

['Dairy Farm of Lady Mary', 'Mary Crawley', 'Hampshire, UK', '2000', '749', '30', '1100000', {'Goat', 'Donkey', 'Cattle', 'Sheep', 'Horse'}],

["Gollum's Furry Things Farm", 'Gollum', 'Brisbane, Queensland, Australia', '550', '90', '23', '150000', {'Goat', 'Sheep', 'Dog', 'Llama', 'Rabbit', 'Camel'}],

['Santa Claus Independent Farm', 'Santa Claus', 'Lapland, Finland', '760', '60', '1', '14400', {'Reindeer', 'Llama'}],

['Scott Family Farm', 'Michael Scott', 'Canada', '300', '50', '10', '230000', {'Horse', 'Mule', 'Donkey', 'Pig'}],

['Organic Veggie Farm', 'Jim Halpert', 'New Mexico, USA', '230', '0', '20', '88000', {}]

]

given the above class and the raw data write the following fuctions using python:

Function name 1 : sort_farms_assets

Parameters :

farms_list (list) A list of Farm instances to be sorted

Return Type : list

Description :

This function should return a sorted list of Farm instances based on the assets in

descending order.

There is a one-line maximum requirement for this function, if this function is not

written in one line you will receive 0 points.

Function name 2 : sort_farms_num_of_liv

Parameters :

farms_list (list) A list of Farm instances to be sorted

Return Type : list

Description :

This function should return a sorted list of Farm instances based on the number of

livestock in descending order.

There is a one-line maximum requirement for this function, if this function is not

written in one line you will receive 0 points.

Function name 3 : farm_to_density

Parameters :

farms_list (list) A list of Farm instances

Return Type : dict

Description :

This function should take in a list of Farm instances and return a dictionary mapping the

names of the Farm s to their livestock densities, which is calculated as the number of

livestock on the farm divided by its size.

In order to receive full credit for this function you must use a dictionary

comprehension and follow the formatting mentioned above. Failure to do so will

result in an 80% deduction for the points allocated to this function.

Function name 4 : shortage_or_surplus

Parameters :

demand_list (list) A list of integers representing demands

supply_list (list) A list of integers representing supplies

Return Type : list

Description :

This function should take in a list representing customers demands of livestock and a

list representing Orgos supplies of livestock and calculate the shortage or surplus of the

livestock. Shortages should be represented as a negative number and surplus should

be represented as a positive number. Essentially, you are calculating the difference

between these two lists. You may assume the demand_list and supply_list will

always have the same length.

Example Case:

>>> demand_list = [300, 200, 900]

>>> supply_list = [600, 850, 100]

>>> shortage_or_surplus(demand_list, supply_list)

[300, 650, -800]

In order to receive full credit for this function you must use a list comprehension

and follow the formatting mentioned above. Failure to do so will result in an 80%

deduction for the points allocated to this function.