def test_sampling_rule_sample_rate_1():
tracer = DummyTracer()
rule = SamplingRule(sample_rate=1)
iterations = int(1e4)
assert all(
rule.sample(Span(tracer=tracer, name=i)) for i in range(iterations))
def test_sampling_rule_sample_rate_0():
tracer = get_dummy_tracer()
rule = SamplingRule(sample_rate=0)
iterations = int(1e4)
assert sum(
rule.sample(Span(tracer=tracer, name=i))
for i in range(iterations)) == 0
def test_sampling_rule_sample(sample_rate):
rule = SamplingRule(sample_rate=sample_rate)
iterations = int(1e4 / sample_rate)
sampled = sum(rule.sample(Span(name=str(i))) for i in range(iterations))
# Less than 5% deviation when 'enough' iterations (arbitrary, just check if it converges)
deviation = abs(sampled -
(iterations * sample_rate)) / (iterations * sample_rate)
assert deviation < 0.05, "Deviation {!r} too high with sample_rate {!r} for {} sampled".format(
deviation, sample_rate, sampled)
def test_sampling_rule_sample_rate_0():
rule = SamplingRule(sample_rate=0)
iterations = int(1e4)
assert sum(rule.sample(Span(name=str(i))) for i in range(iterations)) == 0
