This adds a new on-demand feature to write a report file of incorrectly mocked types. The idea with this is that we can write a tool that scrapes this output file separately after a lint run and aggregate the most commonly mocked types, and use that as a heuristic of what should be prioritized in writing fakes.
This adds a new on-demand feature to write a report file of incorrectly mocked types. The idea with this is that we can write a tool that scrapes this output file separately after a lint run and aggregate the most commonly mocked types, and use that as a heuristic of what should be prioritized in writing fakes.