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-rw-r--r--resources/libraries/python/DropRateSearch.py20
1 files changed, 13 insertions, 7 deletions
diff --git a/resources/libraries/python/DropRateSearch.py b/resources/libraries/python/DropRateSearch.py
index ceaebd57c3..8f8e371add 100644
--- a/resources/libraries/python/DropRateSearch.py
+++ b/resources/libraries/python/DropRateSearch.py
@@ -419,15 +419,17 @@ class DropRateSearch(object):
SearchResults.SUSPICIOUS]:
return self._search_result_rate
- def binary_search(self, b_min, b_max, traffic_type):
+ def binary_search(self, b_min, b_max, traffic_type, skip_max_rate=False):
"""Binary search of rate with loss below acceptance criteria.
:param b_min: Min range rate.
:param b_max: Max range rate.
:param traffic_type: Traffic profile.
+ :param skip_max_rate: Start with max rate first
:type b_min: float
:type b_max: float
:type traffic_type: str
+ :type skip_max_rate: bool
:return: nothing
"""
@@ -436,11 +438,15 @@ class DropRateSearch(object):
if not self._rate_min <= float(b_max) <= self._rate_max:
raise ValueError("Max rate is not in min,max range")
if float(b_max) < float(b_min):
- raise ValueError("Min rate is greater then max rate")
+ raise ValueError("Min rate is greater than max rate")
# binary search
- # rate is half of interval + start of interval
- rate = ((float(b_max) - float(b_min)) / 2) + float(b_min)
+ if skip_max_rate:
+ # rate is half of interval + start of interval
+ rate = ((float(b_max) - float(b_min)) / 2) + float(b_min)
+ else:
+ # rate is max of interval
+ rate = float(b_max)
# rate diff with previous run
rate_diff = abs(self._last_binary_rate - rate)
@@ -465,11 +471,11 @@ class DropRateSearch(object):
# loss occurred and it was above acceptance criteria
if not res:
- self.binary_search(b_min, rate, traffic_type)
+ self.binary_search(b_min, rate, traffic_type, True)
# there was no loss / loss below acceptance criteria
else:
self._search_result_rate = rate
- self.binary_search(rate, b_max, traffic_type)
+ self.binary_search(rate, b_max, traffic_type, True)
def combined_search(self, start_rate, traffic_type):
"""Combined search of rate with loss below acceptance criteria.
@@ -501,7 +507,7 @@ class DropRateSearch(object):
self._search_result_rate = None
# we will use binary search to refine search in one linear step
- self.binary_search(b_min, b_max, traffic_type)
+ self.binary_search(b_min, b_max, traffic_type, True)
# linear and binary search succeed
if self._search_result == SearchResults.SUCCESS: