April 2015
Intermediate to advanced
264 pages
5h 31m
English
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Pattern – data-driven tests
We briefly explored data-driven tests earlier. Data-driven tests reduce the amount of boilerplate test code by allowing us to write a single test execution flow and run it with different combinations of data.
The following is an example using the nose2 parameterization plugin that we looked at earlier in this book:
from nose2.tools.params import params def given_a_series_of_prices(stock, prices): timestamps = [datetime(2014, 2, 10), datetime(2014, 2, 11), datetime(2014, 2, 12), datetime(2014, 2, 13)] for timestamp, price in zip(timestamps, prices): stock.update(timestamp, price) @params( ([8, 10, 12], True), ([8, 12, 10], False), ([8, 10, 10], False) ) def test_stock_trends(prices, expected_output): goog = Stock("GOOG") ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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