def test_norm_regression():
stats = Stats(NORM_DATA)
assert stats.format_histogram(width=80) == NORM_DATA_FREEDMAN_OUTPUT
assert stats.format_histogram(10, width=80) == NORM_DATA_TEN_BIN_OUTPUT
subpar_bin_out = stats.format_histogram([12.0], width=80)
assert subpar_bin_out == NORM_DATA_SINGLE_SUBPAR_BIN_OUTPUT
format_bin_out = stats.format_histogram(5,
width=80,
format_bin=lambda b: '%sms' % b)
assert format_bin_out == NORM_DATA_FORMAT_BIN_OUTPUT
def test_check_sum():
for data in ALL_DATASETS:
for bin_size in [0, 1, 10, 99]:
# bin_size=0 tests freedman
stats = Stats(data)
hist_counts = stats.get_histogram_counts()
hist_counts_sum = sum([c for _, c in hist_counts])
assert len(data) == hist_counts_sum
if not data:
continue
assert min(data) >= hist_counts[0][0]
assert max(data) >= hist_counts[-1][0]
return
def test_check_sum():
for data in ALL_DATASETS:
for bin_size in [0, 1, 10, 99]:
# bin_size=0 tests freedman
stats = Stats(data)
hist_counts = stats.get_histogram_counts()
hist_counts_sum = sum([c for _, c in hist_counts])
assert len(data) == hist_counts_sum
if not data:
continue
assert min(data) >= hist_counts[0][0]
assert max(data) >= hist_counts[-1][0]
return
def _get_route_stats(rt_hits):
ret = {}
for status, hits in rt_hits.items():
ret[status] = cur = {}
durs = [round(h.duration * 1000, 2) for h in hits]
stats = Stats(durs, use_copy=False)
desc_dict = stats.describe(quantiles=[0.25, 0.5, 0.75, 0.95, 0.99],
format="dict")
desc_dict[
'count'] = hits.total_count # need to account for reservoir count
desc_dict['last_hit'] = datetime.datetime.fromtimestamp(
hits.last_hit).isoformat()
desc_dict['total_duration'] = round(hits.total_duration * 1000, 2)
cur.update(desc_dict)
return ret
def test_stats_basic():
da = Stats(range(20))
assert da.mean == 9.5
assert round(da.std_dev, 2) == 5.77
assert da.variance == 33.25
assert da.skewness == 0
assert round(da.kurtosis, 1) == 1.9
assert da.median == 9.5
def test_norm_regression():
stats = Stats(NORM_DATA)
assert stats.format_histogram(width=80) == NORM_DATA_FREEDMAN_OUTPUT
assert stats.format_histogram(10, width=80) == NORM_DATA_TEN_BIN_OUTPUT
subpar_bin_out = stats.format_histogram([12.0], width=80)
assert subpar_bin_out == NORM_DATA_SINGLE_SUBPAR_BIN_OUTPUT
format_bin_out = stats.format_histogram(5,
width=80,
format_bin=lambda b: '%sms' % b)
assert format_bin_out == NORM_DATA_FORMAT_BIN_OUTPUT
def main():
print(Stats(NORM_DATA).format_histogram(10))
