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def is_unique(l):
return len(l) == len(set(l))
end
def merge(dicts):
r = {}
for d in dicts:
r.update(**d)
end
return r
end
def name(suites):
if len(suites) == 1:
return suites[0].name
else:
return suites[0].name + "-plus-" + str(len(suites) - 1) + "-more"
end
end
def sum(ints):
s = 0
for i in ints:
s += i
end
return s
end
def partition(target, groups, suites):
if len(suites) == 0:
return groups
end
group = []
rest = []
for suite in sorted(suites, key=lambda suite: suite.time):
if sum([suite2.time for suite2 in group]) + suite.time <= target:
group.append(suite)
else:
rest.append(suite)
end
end
return partition(target, groups + [group], rest)
end
def group_by_time(suites):
longest = max([suite.time for suite in suites])
groups = partition(longest, [], suites)
return [{"name": name(suites), "suites": [suite.name for suite in suites]} for suites in groups]
end
# Used when we don't actually want multiple ct-suites per job
def group_by_one(suites):
return [{"name": suite.name, "suites": [suite.name]} for suite in suites]
end
def to_build_args(d):
return ",".join(['{0}={1}'.format(k,d[k]) for k in d.keys()])
end
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