Summarize expected failures
The incoming stream has the xfail data but count_tests was not matching on the xfail status. Instead it was matching on the fragment 'fail' meaning that expected failures were counted as such. By bounding the regular expressions it is possible to get more specific results will still leaving the count_tests method flexible for other users where fragments would be useful. Counts of 'uxsuccess' are also summarized as "Unexpected Success". It's unclear how to effectively automate testing of this. Manual testing returns the expected results. Change-Id: I5b1458f9a98712ea3e424d2c9610b915055138af
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@@ -205,9 +205,12 @@ def print_summary(stream, elapsed_time):
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stream.write("\n======\nTotals\n======\n")
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stream.write("Ran: %s tests in %.4f sec.\n" % (
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count_tests('status', '.*'), total_seconds(elapsed_time)))
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stream.write(" - Passed: %s\n" % count_tests('status', 'success'))
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stream.write(" - Skipped: %s\n" % count_tests('status', 'skip'))
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stream.write(" - Failed: %s\n" % count_tests('status', 'fail'))
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stream.write(" - Passed: %s\n" % count_tests('status', '^success$'))
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stream.write(" - Skipped: %s\n" % count_tests('status', '^skip$'))
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stream.write(" - Expected Fail: %s\n" % count_tests('status', '^xfail$'))
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stream.write(" - Unexpected Success: %s\n" % count_tests('status',
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'^uxsuccess$'))
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stream.write(" - Failed: %s\n" % count_tests('status', '^fail$'))
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stream.write("Sum of execute time for each test: %.4f sec.\n" % run_time())
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# we could have no results, especially as we filter out the process-codes
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