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Answers

  1. What did you find most challenging?

Verifying whether the algorithms I had in my head during development are correct. I've created tests after making implementation. I think TDD approach would be beneficial in this case.

  1. What is the big-O runtime of your solution?

Based on my calculations it is O(a*b) where a is the number of assets (input file rows), and b is the number of average expected_life value.

  1. What compilers, tools, or runtimes are required to build and run your solution code, and what are the instructions for doing that?

See below.

Requirements

  • Python - version 3.9 or later

No additional modules required.

How to run

Open directory containing this solution in terminal and run command:

python depreciation_calculator.py assets.csv

where assets.csv is the name of your input CSV file.

You can also specify output file by using -o argument. Default output file is line_items.csv.

How to run included tests

Run in your terminal:

python -m unittest depreciation_calculator_test.py