Download the file markets.txt which contains geographic information for over 7000 farmers markets in the US (source http://explore.data.gov/d/wfna-38eyLinks to an external site.). Each line contains information about a one farmers market. Data fields are separated by a single "#" symbol. The fields are (in this order): state, market name, street address, city, zip code.

Download the skeleton code problem2.py.

a) Write a class Market that represents a farmers market. The Market class should have the following attributes:

state (a string)

market_name (a string)

street_address (a string)

zip code (an int)

city (a string)

You can ignore the longitude and latitude entries.

b) Add a __str__ method that returns information about the famers market in human readable form (use string formatting). For example

Columbia University Greenmarket E. Side of Broadway between 114th & 115th Streets New York, New York 10027

c) Write a function read_markets(filename), that reads in the market data from a file. The function should return a dictionary mapping zip codes to lists of Market objects (there can be multiple markets in the same zip code).

d) Write a main program that first calls read_markets to read in markets.txt. Then, your program should prompt the user to type in a zip code. It should then print out the string representation for each market in that zip code, or "No farmers markets in your zip code." if none were found.