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+# Copyright (c) 2011 Google Inc. All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above
+# copyright notice, this list of conditions and the following disclaimer
+# in the documentation and/or other materials provided with the
+# distribution.
+# * Neither the name of Google Inc. nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+class ExpectedFailures(object):
+ def __init__(self):
+ self._failures = set()
+
+ def _can_trust_results(self, results):
+ if not results or not results.failure_limit_count():
+ return False
+ return len(results.failing_tests()) != 0 and len(results.failing_tests()) != results.failure_limit_count()
+
+ def failures_were_expected(self, results):
+ if not self._can_trust_results(results):
+ return False
+ return set(results.failing_tests()) <= self._failures
+
+ def shrink_expected_failures(self, results, run_success):
+ if run_success:
+ self._failures = set()
+ elif self._can_trust_results(results):
+ # Remove all expected failures which are not in the new failing results.
+ self._failures.intersection_update(set(results.failing_tests()))
+
+ def grow_expected_failures(self, results):
+ if not self._can_trust_results(results):
+ return
+ self._failures.update(results.failing_tests())
+ # FIXME: Should we assert() here that expected_failures never crosses a certain size?