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Build a function to collect all the parsing errors into a "sequence"
of dict objects containing the issues found.
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Derive a "correct" sample file from an existing sample file with
errors for testing with large files.
Fix issue caught by test.
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* Implement remaining file parsing tests and some helpers functions
needed for ensuring the tests work.
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* Improve tests that ensure parsing fails in case the file has errors
* Add strains.csv file
* Implement minimum viable functionality that passes the implemented tests
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Add dummy failing tests and a stub for the parsing of the files
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