Table of Contents

1. Challenge

   Create the Lead Model and Calculate Lead Score

   Before you can start working on the sorting of leads, you need to have a model. Your coworker has requested that you create the Lead class within the lead.py file next to test_lead.py. Be sure to create the initializer for the class and have it take the proper arguments:

   • name
   • staff_size
   • estimated_revenue
   • effort_factor

   With these implemented, you'll also want to add a method (or calculated property) to return the calculated lead score. Here's the formula to use:

   1 / (staff_size / estimated_revenue * (10 ** (digits_in_revenue - digits_in_staff_size)) * effort_factor)
   

   The automated tests assume that lead_score is a method, but you can adjust the test file if you'd rather it be calculated property instead.

   You can run the unit tests with the following command:

   python -m unittest
   

2. Challenge

   Implement the Equivalence Comparison Operators

   The first set of operators that you need to implement are the == and != operators. These should compare the lead score of the two Lead instances being compared. You can implement these using the __eq__ and __ne__ methods, and these methods should compare the lead scores of the instances. Implementing these methods should make a few more automated tests pass.

   You can run the unit tests with the following command:

   python -m unittest
   

3. Challenge

   Implement the Ordering Operators

   With the equivalence operators implemented, you're ready to move onto implementing the ordering operators: <, >, <=, and >=. These operators can be implemented by defining the __lt__, __gt__, __le__, and __ge__ methods, and these methods should compare the lead scores of the instances. Implementing these methods should get the remaining automated tests to pass.

   You can run the unit tests with the following command:

   python -m unittest