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Feature and performance tests

In this exercise, you will continue to test the pandas data pipeline. Here, you will create two types of tests. A feature test with pytest to validate that the feature "finding a median salary for a 2022 year" actually works. And a performance test with pytest-benchmark to find out how fast the process is with pytest-benchmark. Note: The function name testreadingspeed() in the solution is used to benchmark the performance. This is consistent with the naming convention and functionality.

This exercise is part of the course

Introduction to Testing in Python

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Exercise instructions

  • Check that the resulting median has the float type.
  • Check that the median salary is greater than 0.
  • Define the test_reading_speed() function with the benchmark argument.
  • Run pytest from CLI to see the results.

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