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The following commit(s) were added to refs/heads/master by this push:
new 5f6f93c Add ChangePoints view parity tests (#173)
5f6f93c is described below
commit 5f6f93cba831ad3c8ce8e182a7b271d7893964b9
Author: Alex Sorokoumov <[email protected]>
AuthorDate: Sun Aug 23 21:13:51 2026 -0700
Add ChangePoints view parity tests (#173)
Add a hand-authored sparse reference case and Hypothesis-generated sparse
histories for ChangePointsByTime and ChangePointsByMetric.
Read parity covers iteration and indexing, metric enumeration and selection,
per-metric reads, timestamp and commit lookup, and pivot/by_time/by_metric
conversions. Mutation coverage exercises copy isolation, shared conversion
views, append/extend construction, and invalid or out-of-order boundaries.
The tests exposed and this commit fixes four parity bugs:
- ChangePoints.select_metrics() retained empty timestamp rows and disagreed
with the metric view for missing metrics. It now raises consistent
KeyError
exceptions and omits empty groups.
- Both select_metrics() implementations accepted lists without validating
every element. Invalid keys could leak into lookup and raise KeyError,
including before a later invalid value in a mixed list was examined. Both
views now validate all elements first and consistently raise TypeError at
the API boundary.
- ChangePointsByMetric.pivot() structurally contaminated a source metric
bucket when merging metrics at the same timestamp. It now builds shallow
group views, so conversion itself is non-mutating while shared ChangePoint
semantics remain intact.
- ChangePointsByMetric.extend() stored a complete multi-metric group in
every
metric bucket, causing duplicate metrics during later pivots. It now
stores
the matching per-metric projection, consistent with append().
The conversion contract is documented as producing shared views, with
copy().pivot() providing isolation. Hypothesis is added to the development
dependencies for the generated parity coverage.
---
otava/change_point_divisive/base.py | 42 +++++--
pyproject.toml | 1 +
tests/change_point_classes_test.py | 221 ++++++++++++++++++++++++++++++++++++
uv.lock | 103 +++++++++++++++++
4 files changed, 357 insertions(+), 10 deletions(-)
diff --git a/otava/change_point_divisive/base.py
b/otava/change_point_divisive/base.py
index 1020c83..d5e0eb2 100644
--- a/otava/change_point_divisive/base.py
+++ b/otava/change_point_divisive/base.py
@@ -495,9 +495,25 @@ class ChangePoints:
request efficient. This will loop over all ChangePointGroup s.
Use ChangePointsByMetric if you need this to be fast.
"""
+ if not isinstance(m, list):
+ if not isinstance(m, str):
+ raise TypeError(
+ "ChangePoints.select_metrics() takes as argument a str or
a list of str."
+ )
+ m = [m]
+ if not all(isinstance(metric, str) for metric in m):
+ raise TypeError(
+ "ChangePoints.select_metrics() takes as argument a str or a
list of str."
+ )
+ for metric in m:
+ if metric not in self:
+ raise KeyError(metric)
+
filtered = ChangePoints()
for cpg in self._change_points:
- filtered.append(cpg.select_metrics(m))
+ selected = cpg.select_metrics(m)
+ if selected.changes:
+ filtered.append(selected)
return filtered
def get_change_points_for_metric(self, m: str):
@@ -546,9 +562,9 @@ class ChangePointsByTime(ChangePoints):
to make it explicit that your code at that point explicitly wanted a
collection of ChangePoints
ordered by time.
- The pivot() method will return a new object (a copy) holding the same
data, but ordered by metrics
- as the primary and optimized axis. The method by_metric() can be used
for the same purpose. Note
- that the method by_time() is a no-op and returns self, it doesn't even
do a copy.
+ The pivot() method returns a new view holding the same ChangePoint
objects, but ordered by metrics
+ as the primary and optimized axis. The method by_metric() can be used
for the same purpose. Use
+ copy().pivot() for an isolated copy. The method by_time() is a no-op
and returns self.
"""
@classmethod
def from_dict(cls, cps: dict):
@@ -568,9 +584,9 @@ class ChangePointsByMetric(ChangePoints):
You can create empty instances of this class, or you can also use the
factory method
`ChangePoints.from_dict()` to get an instance of this type.
- The pivot() method will return a new object (a copy) holding the same
data, but ordered by time
- as the primary and optimized axis. The method by_time() can be used
for the same purpose. Note
- that the method by_metric() is a no-op and returns self, it doesn't
even do a copy.
+ The pivot() method returns a new view holding the same ChangePoint
objects, but ordered by time
+ as the primary and optimized axis. The method by_time() can be used
for the same purpose. Use
+ copy().pivot() for an isolated copy. The method by_metric() is a no-op
and returns self.
"""
def __init__(self):
@@ -609,7 +625,7 @@ class ChangePointsByMetric(ChangePoints):
intermediate.append(cpg)
cp_by_time = ChangePointsByTime()
for cpg in sorted(intermediate, key=lambda cpg: cpg.time):
- cp_by_time.append(cpg)
+ cp_by_time.append(cpg.select_metrics(list(cpg.metrics())))
return cp_by_time
def append(self, cpg: ChangePointGroup):
@@ -641,7 +657,7 @@ class ChangePointsByMetric(ChangePoints):
if metric1 not in self._change_points:
self._change_points[metric1] = []
if (not self._change_points[metric1]) or cpg.time >
self._change_points[metric1][-1].time:
- self._change_points[metric1].append(cpg)
+
self._change_points[metric1].append(cpg.select_metrics(metric1))
else:
raise ValueError(
"ChangePoints.extend() can only be used such that time
is monotonically increasing"
@@ -691,8 +707,14 @@ class ChangePointsByMetric(ChangePoints):
"""
if not isinstance(m, list):
if not isinstance(m, str):
- TypeError("ChangePoints.select_metrics() takes as argument a
str or a list of str.")
+ raise TypeError(
+ "ChangePoints.select_metrics() takes as argument a str or
a list of str."
+ )
m = [m]
+ if not all(isinstance(metric, str) for metric in m):
+ raise TypeError(
+ "ChangePoints.select_metrics() takes as argument a str or a
list of str."
+ )
filtered = ChangePointsByMetric()
for metric in m:
diff --git a/pyproject.toml b/pyproject.toml
index c243321..449f06f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -64,6 +64,7 @@ dependencies = [
[project.optional-dependencies]
dev = [
+ "hypothesis>=6.0",
"pytest>=9.0.1",
"pytest-benchmark>=5.2.3",
"pytz==2025.2",
diff --git a/tests/change_point_classes_test.py
b/tests/change_point_classes_test.py
index 5c30603..c548a57 100644
--- a/tests/change_point_classes_test.py
+++ b/tests/change_point_classes_test.py
@@ -28,6 +28,8 @@ otava.change_point_divisive.base:
import numpy as np
import pytest
+from hypothesis import example, given, settings
+from hypothesis import strategies as st
from otava.change_point_divisive.base import (
BaseStats,
@@ -59,6 +61,129 @@ def make_group(time, metric="m", index=3, commit="sha"):
)
+SWARM_METRICS = ("errors", "latency", "throughput")
+GOLDEN_HISTORY = (
+ (10.0, "commit-a", (("errors", 11), ("latency", 12))),
+ (20.0, "commit-b", (("throughput", 21),)),
+ (30.0, "commit-c", (("latency", 31), ("throughput", 32))),
+)
+
+
[email protected]
+def history_specs(draw):
+ times = draw(
+ st.lists(
+ st.integers(min_value=1, max_value=1_000),
+ min_size=1,
+ max_size=12,
+ unique=True,
+ ).map(sorted)
+ )
+ history = []
+ for row_number, time in enumerate(times):
+ metrics = draw(
+ st.sets(
+ st.sampled_from(SWARM_METRICS),
+ min_size=1,
+ max_size=len(SWARM_METRICS),
+ )
+ )
+ changes = tuple(
+ (metric, row_number * len(SWARM_METRICS) +
SWARM_METRICS.index(metric))
+ for metric in sorted(metrics)
+ )
+ history.append((float(time), f"commit-{time}", changes))
+ return tuple(history)
+
+
+def make_history_groups(history):
+ return [
+ ChangePointGroup(
+ time=time,
+ attributes={"commit": commit},
+ changes={metric: make_cp(metric, index) for metric, index in
changes},
+ )
+ for time, commit, changes in history
+ ]
+
+
+def group_snapshot(group):
+ return (
+ group.time,
+ group.commit(),
+ tuple(
+ (metric, group[metric].metric, group[metric].index)
+ for metric in sorted(group.metrics())
+ ),
+ )
+
+
+def history_snapshot(change_points):
+ return [group_snapshot(group) for group in change_points]
+
+
+def expected_history_snapshot(history):
+ return [
+ (time, commit, tuple((metric, metric, index) for metric, index in
changes))
+ for time, commit, changes in history
+ ]
+
+
+def expected_metric_snapshots(history):
+ metrics = {metric for _, _, changes in history for metric, _ in changes}
+ return {
+ metric: [
+ (time, commit, ((metric, metric, dict(changes)[metric]),))
+ for time, commit, changes in history
+ if metric in dict(changes)
+ ]
+ for metric in metrics
+ }
+
+
+def metric_snapshots(change_points):
+ return {
+ metric: history_snapshot(groups) for metric, groups in
change_points.items()
+ }
+
+
+def assert_read_api(change_points, expected, expected_by_metric):
+ assert history_snapshot(change_points) == expected
+ assert group_snapshot(change_points[0]) == expected[0]
+ assert change_points.metrics() == set(expected_by_metric)
+ assert metric_snapshots(change_points) == expected_by_metric
+ assert history_snapshot(change_points.pivot()) == expected
+ assert history_snapshot(change_points.by_time()) == expected
+ assert metric_snapshots(change_points.by_metric()) == expected_by_metric
+
+ for row in expected:
+ time, commit, changes = row
+ assert group_snapshot(change_points.at_timestamp(time)) == row
+ assert group_snapshot(change_points.at_timestamp(time + 0.00005)) ==
row
+ assert group_snapshot(change_points.at_commit(commit)) == row
+ for metric, _, _ in changes:
+ assert metric in change_points
+
+ for metric, metric_rows in expected_by_metric.items():
+ assert history_snapshot(change_points.select_metrics(metric)) ==
metric_rows
+ assert [cp.index for cp in
change_points.get_change_points_for_metric(metric)] == [
+ row[2][0][2] for row in metric_rows
+ ]
+
+ assert "missing" not in change_points
+ with pytest.raises(KeyError):
+ change_points.select_metrics("missing")
+ with pytest.raises(KeyError):
+ change_points.select_metrics([next(iter(expected_by_metric)),
"missing"])
+ for invalid in ({}, ("errors",), 1, [1], ["missing", 1]):
+ with pytest.raises(TypeError):
+ change_points.select_metrics(invalid)
+ with pytest.raises(LookupError):
+ change_points.at_timestamp(expected[-1][0] + 1_000)
+ with pytest.raises(LookupError):
+ change_points.at_commit("missing")
+
+
# BaseStats
def test_basestats_calculate_means_and_std():
s = BaseStats.calculate([10.0, 10.0, 10.0], [20.0, 20.0, 20.0], 0.02)
@@ -695,6 +820,102 @@ def test_select_metrics():
metrics = cpbm.select_metrics({})
+# ChangePointsByTime / ChangePointsByMetric semantic parity
+def test_change_point_views_match_golden_history():
+ expected = [
+ (10.0, "commit-a", (("errors", "errors", 11), ("latency", "latency",
12))),
+ (20.0, "commit-b", (("throughput", "throughput", 21),)),
+ (30.0, "commit-c", (("latency", "latency", 31), ("throughput",
"throughput", 32))),
+ ]
+ expected_by_metric = {
+ "errors": [(10.0, "commit-a", (("errors", "errors", 11),))],
+ "latency": [
+ (10.0, "commit-a", (("latency", "latency", 12),)),
+ (30.0, "commit-c", (("latency", "latency", 31),)),
+ ],
+ "throughput": [
+ (20.0, "commit-b", (("throughput", "throughput", 21),)),
+ (30.0, "commit-c", (("throughput", "throughput", 32),)),
+ ],
+ }
+ by_time = ChangePointsByTime.from_list(make_history_groups(GOLDEN_HISTORY))
+ by_metric =
ChangePointsByMetric.from_list(make_history_groups(GOLDEN_HISTORY))
+
+ assert_read_api(by_time, expected, expected_by_metric)
+ assert_read_api(by_metric, expected, expected_by_metric)
+ assert history_snapshot(by_time) == history_snapshot(by_metric)
+
+
[email protected](
+ ("view_class", "conversion"),
+ [
+ (ChangePointsByTime, "pivot"),
+ (ChangePointsByTime, "by_metric"),
+ (ChangePointsByMetric, "pivot"),
+ (ChangePointsByMetric, "by_time"),
+ ],
+)
+def test_change_point_view_conversion_mutation_boundaries(view_class,
conversion):
+ source = view_class.from_list([make_group(1.0, "latency")])
+ converted = getattr(source, conversion)()
+
+ converted.at_timestamp(1.0)["latency"].stats.mean_1 = -1.0
+ assert source.at_timestamp(1.0)["latency"].stats.mean_1 == -1.0
+
+ isolated = getattr(source.copy(), conversion)()
+ isolated.at_timestamp(1.0)["latency"].stats.mean_1 = -2.0
+ assert source.at_timestamp(1.0)["latency"].stats.mean_1 == -1.0
+
+
+@settings(max_examples=75, deadline=None)
+@given(history=history_specs())
+def test_change_point_view_read_api_swarm(history):
+ expected = expected_history_snapshot(history)
+ expected_by_metric = expected_metric_snapshots(history)
+ by_time = ChangePointsByTime.from_list(make_history_groups(history))
+ by_metric = ChangePointsByMetric.from_list(make_history_groups(history))
+
+ assert_read_api(by_time, expected, expected_by_metric)
+ assert_read_api(by_metric, expected, expected_by_metric)
+ assert history_snapshot(by_time) == history_snapshot(by_metric)
+
+ for change_points in (by_time, by_metric):
+ clone = change_points.copy()
+ assert type(clone) is type(change_points)
+ assert history_snapshot(clone) == expected
+
+ first_metric = expected[0][2][0][0]
+ clone.at_timestamp(expected[0][0])[first_metric].stats.mean_1 = -999.0
+ assert
change_points.at_timestamp(expected[0][0])[first_metric].stats.mean_1 != -999.0
+
+
+@settings(max_examples=75, deadline=None)
+@given(history=history_specs(), split_hint=st.integers(min_value=0,
max_value=100))
+@example(history=GOLDEN_HISTORY, split_hint=1)
+def test_change_point_view_mutation_swarm(history, split_hint):
+ expected = expected_history_snapshot(history)
+ split = split_hint % (len(history) + 1)
+ views = []
+
+ for view_class in (ChangePointsByTime, ChangePointsByMetric):
+ change_points = view_class()
+ for row in history[:split]:
+ change_points.append(make_history_groups((row,))[0])
+ change_points.extend(make_history_groups(history[split:]))
+ assert history_snapshot(change_points) == expected
+ views.append(change_points)
+
+ assert history_snapshot(views[0]) == history_snapshot(views[1])
+
+ last_time, _, last_changes = history[-1]
+ last_metric = last_changes[0][0]
+ for change_points in views:
+ with pytest.raises(ValueError):
+ change_points.append(
+ make_group(last_time - 0.5, last_metric, commit="out-of-order")
+ )
+
+
# SignificanceTester helpers
def test_tester_compare_returns_basestats():
tester = SignificanceTester(0.05)
diff --git a/uv.lock b/uv.lock
index 8295185..f9001c4 100644
--- a/uv.lock
+++ b/uv.lock
@@ -34,6 +34,7 @@ dependencies = [
dev = [
{ name = "autoflake" },
{ name = "flake8" },
+ { name = "hypothesis" },
{ name = "isort" },
{ name = "pre-commit" },
{ name = "pytest" },
@@ -55,6 +56,7 @@ requires-dist = [
{ name = "dateparser", specifier = ">=1.0.0" },
{ name = "flake8", marker = "extra == 'dev'", specifier = ">=7.3.0" },
{ name = "google-cloud-bigquery", specifier = ">=3.38.0" },
+ { name = "hypothesis", marker = "extra == 'dev'", specifier = ">=6.0" },
{ name = "isort", marker = "extra == 'dev'", specifier = ">=7.0.0" },
{ name = "numpy", marker = "python_full_version < '3.14'", specifier =
"==2.2.*" },
{ name = "numpy", marker = "python_full_version >= '3.14'", specifier =
">=2.3.2,<2.4" },
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]
+[[package]]
+name = "hypothesis"
+version = "6.165.10"
+source = { registry = "https://pypi.org/simple"; }
+dependencies = [
+ { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
+ { name = "sortedcontainers" },
+]
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