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authorJan Gelety <jgelety@cisco.com>2019-11-12 05:27:43 +0100
committerJan Gelety <jgelety@cisco.com>2019-11-28 18:26:21 +0100
commitd68951ac245150eeefa6e0f4156e4c1b5c9e9325 (patch)
tree487554a7547218d27f0a61ec02b70502c32cdcb4 /resources/tools/scripts/compare_perpatch.py
parented0258a440cfad7023d643f717ab78ac568dc59b (diff)
Python3: resources and libraries
Change-Id: I1392c06b1d64f62b141d24c0d42a8e36913b15e2 Signed-off-by: Jan Gelety <jgelety@cisco.com>
Diffstat (limited to 'resources/tools/scripts/compare_perpatch.py')
-rw-r--r--resources/tools/scripts/compare_perpatch.py61
1 files changed, 28 insertions, 33 deletions
diff --git a/resources/tools/scripts/compare_perpatch.py b/resources/tools/scripts/compare_perpatch.py
index 9c9bd20023..c2c165c76d 100644
--- a/resources/tools/scripts/compare_perpatch.py
+++ b/resources/tools/scripts/compare_perpatch.py
@@ -44,6 +44,7 @@ def hack(value_list):
ret = tmp[3*eight:-eight]
return tmp # ret
+
iteration = -1
parent_iterations = list()
current_iterations = list()
@@ -52,23 +53,25 @@ while 1:
iteration += 1
parent_lines = list()
current_lines = list()
- filename = "csit_parent/{iter}/results.txt".format(iter=iteration)
+ filename = f"csit_parent/{iteration}/results.txt"
try:
with open(filename) as parent_file:
parent_lines = parent_file.readlines()
except IOError:
break
num_lines = len(parent_lines)
- filename = "csit_current/{iter}/results.txt".format(iter=iteration)
+ filename = f"csit_current/{iteration}/results.txt"
with open(filename) as current_file:
current_lines = current_file.readlines()
if num_lines != len(current_lines):
- print "Number of tests does not match within iteration", iteration
+ print(f"Number of tests does not match within iteration {iteration}")
sys.exit(1)
if num_tests is None:
num_tests = num_lines
elif num_tests != num_lines:
- print "Number of tests does not match previous at iteration", iteration
+ print(
+ f"Number of tests does not match previous at iteration {iteration}"
+ )
sys.exit(1)
parent_iterations.append(parent_lines)
current_iterations.append(current_lines)
@@ -80,13 +83,13 @@ for test_index in range(num_tests):
current_values = list()
for iteration_index in range(len(parent_iterations)):
parent_values.extend(
- json.loads(parent_iterations[iteration_index][test_index]))
+ json.loads(parent_iterations[iteration_index][test_index])
+ )
current_values.extend(
- json.loads(current_iterations[iteration_index][test_index]))
- print "Time-ordered MRR values for parent build: {p}".format(
- p=parent_values)
- print "Time-ordered MRR values for current build: {c}".format(
- c=current_values)
+ json.loads(current_iterations[iteration_index][test_index])
+ )
+ print(f"Time-ordered MRR values for parent build: {parent_values}")
+ print(f"Time-ordered MRR values for current build: {current_values}")
parent_values = hack(parent_values)
current_values = hack(current_values)
parent_max = BitCountingMetadataFactory.find_max_value(parent_values)
@@ -97,35 +100,27 @@ for test_index in range(num_tests):
current_factory = BitCountingMetadataFactory(val_max, parent_stats.avg)
current_stats = current_factory.from_data(current_values)
both_stats = factory.from_data(parent_values + current_values)
- print "Value-ordered MRR values for parent build: {p}".format(
- p=parent_values)
- print "Value-ordered MRR values for current build: {c}".format(
- c=current_values)
+ print(f"Value-ordered MRR values for parent build: {parent_values}")
+ print(f"Value-ordered MRR values for current build: {current_values}")
difference = (current_stats.avg - parent_stats.avg) / parent_stats.avg
- print "Difference of averages relative to parent: {d}%".format(
- d=100 * difference)
- print "Jumpavg representation of parent group: {p}".format(
- p=parent_stats)
- print "Jumpavg representation of current group: {c}".format(
- c=current_stats)
- print "Jumpavg representation of both as one group: {b}".format(
- b=both_stats)
+ print(f"Difference of averages relative to parent: {100 * difference}%")
+ print(f"Jumpavg representation of parent group: {parent_stats}")
+ print(f"Jumpavg representation of current group: {current_stats}")
+ print(f"Jumpavg representation of both as one group: {both_stats}")
bits = parent_stats.bits + current_stats.bits - both_stats.bits
- compared = "longer" if bits >= 0 else "shorter"
- print "Separate groups are {cmp} than single group by {bit} bits".format(
- cmp=compared, bit=abs(bits))
+ compared = u"longer" if bits >= 0 else u"shorter"
+ print(
+ f"Separate groups are {compared} than single group by {abs(bits)} bits"
+ )
classified_list = classifier.classify([parent_stats, current_stats])
if len(classified_list) < 2:
- print "Test test_index {test_index}: normal (no anomaly)".format(
- test_index=test_index)
+ print(f"Test test_index {test_index}: normal (no anomaly)")
continue
anomaly = classified_list[1].metadata.classification
- if anomaly == "regression":
- print "Test test_index {test_index}: anomaly regression".format(
- test_index=test_index)
+ if anomaly == u"regression":
+ print(f"Test test_index {test_index}: anomaly regression")
exit_code = 1
continue
- print "Test test_index {test_index}: anomaly {anomaly}".format(
- test_index=test_index, anomaly=anomaly)
-print "Exit code {code}".format(code=exit_code)
+ print(f"Test test_index {test_index}: anomaly {anomaly}")
+print(f"Exit code {exit_code}")
sys.exit(exit_code)