py-13-windowed-aggregator
0.846
Proposed solution
```python
from collections import defaultdict
from sortedcontainers import SortedDict
class WindowedAggregator:
def __init__(self, window: float):
"""window = length of the time window (same units as timestamps)."""
self.window = window
self.events = SortedDict()
def add(self, ts: float, group: str, value: float) -> None:
"""Record an event. Events may arrive OUT OF ORDER (ts not monotonic)."""
if group not in self.events:
self.events[group] = SortedDict()
self.events[group][ts] = value
def stats(self, group: str, at: float) -> dict:
"""Aggregate the events of `group` whose timestamp is in the half-open
window (at - window, at] — i.e. at-window < ts <= at."""
if group not in self.events:
return {"count": 0, "sum": 0.0, "min": None, "max": None, "mean": None}
window_start = at - self.window
window_events = {ts: value for ts, value in self.events[group].items() if window_start < ts <= at}
if not window_events:
return {"count": 0, "sum": 0.0, "min": None, "max": None, "mean": None}
count = len(window_events)
total_sum = sum(window_events.values())
minimum = min(window_events.values())
maximum = max(window_events.values())
mean = total_sum / count if count > 0 else None
return {
"count": count,
"sum": total_sum,
"min": minimum,
"max": maximum,
"mean": mean,
}
```Test output (stdout)
......F.F.... [100%]
=================================== FAILURES ===================================
_____________________________ test_group_isolation _____________________________
def test_group_isolation():
agg = WindowedAggregator(window=10.0)
agg.add(100.0, "a", 1.0)
agg.add(100.0, "a", 2.0)
agg.add(100.0, "b", 100.0)
sa = agg.stats("a", at=100.0)
sb = agg.stats("b", at=100.0)
> assert sa == {"count": 2, "sum": 3.0, "min": 1.0, "max": 2.0, "mean": 1.5}
E AssertionError: assert {'count': 1, ...ax': 2.0, ...} == {'count': 2, ...ax': 2.0, ...}
E
E Omitting 1 identical items, use -vv to show
E Differing items:
E {'sum': 2.0} != {'sum': 3.0}
E {'min': 2.0} != {'min': 1.0}
E {'mean': 2.0} != {'mean': 1.5}
E {'count': 1} != {'count': 2}
E Use -v to get more diff
test_windowed_aggregator.py:71: AssertionError
___________________ test_duplicate_ts_group_events_all_count ___________________
def test_duplicate_ts_group_events_all_count():
agg = WindowedAggregator(window=10.0)
agg.add(100.0, "g", 2.0)
agg.add(100.0, "g", 2.0) # identical (ts, group, value)
agg.add(100.0, "g", 5.0) # same (ts, group), different value
s = agg.stats("g", at=100.0)
> assert s["count"] == 3
E assert 1 == 3
test_windowed_aggregator.py:98: AssertionError
=========================== short test summary info ============================
FAILED test_windowed_aggregator.py::test_group_isolation - AssertionError: as...
FAILED test_windowed_aggregator.py::test_duplicate_ts_group_events_all_count
2 failed, 11 passed in 0.04s
Self-repair attempts
[
{
"total": 13,
"answer": "```python\nfrom collections import defaultdict\nfrom sortedcontainers import SortedDict\n\nclass WindowedAggregator:\n def __init__(self, window: float):\n \"\"\"window = length of the time window (same units as timestamps).\"\"\"\n self.window = window\n self.events = SortedDict()\n\n def add(self, ts: float, group: str, value: float) -> None:\n \"\"\"Record an event. Events may arrive OUT OF ORDER (ts not monotonic).\"\"\"\n if group not in self.events:\n self.events[group] = SortedDict()\n self.events[group][ts] = value\n\n def stats(self, group: str, at: float) -> dict:\n \"\"\"Aggregate the events of `group` whose timestamp is in the half-open\n window (at - window, at] — i.e. at-window < ts <= at.\"\"\"\n if group not in self.events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n window_start = at - self.window\n window_events = {ts: value for ts, value in self.events[group].items() if window_start < ts <= at}\n\n if not window_events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n count = len(window_events)\n total_sum = sum(window_events.values())\n minimum = min(window_events.values())\n maximum = max(window_events.values())\n mean = total_sum / count if count > 0 else None\n\n return {\n \"count\": count,\n \"sum\": total_sum,\n \"min\": minimum,\n \"max\": maximum,\n \"mean\": mean,\n }\n```",
"passed": 11,
"test_error": "......F.F.... [100%]\n=================================== FAILURES ===================================\n_____________________________ test_group_isolation _____________________________\n\n def test_group_isolation():\n agg = WindowedAggregator(window=10.0)\n agg.add(100.0, \"a\", 1.0)\n agg.add(100.0, \"a\", 2.0)\n agg.add(100.0, \"b\", 100.0)\n sa = agg.stats(\"a\", at=100.0)\n sb = agg.stats(\"b\", at=100.0)\n> assert sa == {\"count\": 2, \"sum\": 3.0, \"min\": 1.0, \"max\": 2.0, \"mean\": 1.5}\nE AssertionError: assert {'count': 1, ...ax': 2.0, ...} == {'count': 2, ...ax': 2.0, ...}\nE \nE Omitting 1 identical items, use -vv to show\nE Differing items:\nE {'sum': 2.0} != {'sum': 3.0}\nE {'min': 2.0} != {'min': 1.0}\nE {'mean': 2.0} != {'mean': 1.5}\nE {'count': 1} != {'count': 2}\nE Use -v to get more diff\n\ntest_windowed_aggregator.py:71: AssertionError\n___________________ test_duplicate_ts_group_events_all_count ___________________\n\n def test_duplicate_ts_group_events_all_count():\n agg = WindowedAggregator(window=10.0)\n agg.add(100.0, \"g\", 2.0)\n agg.add(100.0, \"g\", 2.0) # identical (ts, group, value)\n agg.add(100.0, \"g\", 5.0) # same (ts, group), different value\n s = agg.stats(\"g\", at=100.0)\n> assert s[\"count\"] == 3\nE assert 1 == 3\n\ntest_windowed_aggregator.py:98: AssertionError\n=========================== short test summary info ============================\nFAILED test_windowed_aggregator.py::test_group_isolation - AssertionError: as...\nFAILED test_windowed_aggregator.py::test_duplicate_ts_group_events_all_count\n2 failed, 11 passed in 0.04s"
},
{
"total": 13,
"answer": "```python\nfrom collections import defaultdict\nfrom sortedcontainers import SortedDict\n\nclass WindowedAggregator:\n def __init__(self, window: float):\n \"\"\"window = length of the time window (same units as timestamps).\"\"\"\n self.window = window\n self.events = defaultdict(SortedDict)\n\n def add(self, ts: float, group: str, value: float) -> None:\n \"\"\"Record an event. Events may arrive OUT OF ORDER (ts not monotonic).\"\"\"\n self.events[group][ts] = value\n\n def stats(self, group: str, at: float) -> dict:\n \"\"\"Aggregate the events of `group` whose timestamp is in the half-open\n window (at - window, at] — i.e. at-window < ts <= at.\"\"\"\n if group not in self.events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n window_start = at - self.window\n window_events = {ts: value for ts, value in self.events[group].items() if window_start < ts <= at}\n\n if not window_events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n count = len(window_events)\n total_sum = sum(window_events.values())\n minimum = min(window_events.values())\n maximum = max(window_events.values())\n mean = total_sum / count if count > 0 else None\n\n return {\n \"count\": count,\n \"sum\": total_sum,\n \"min\": minimum,\n \"max\": maximum,\n \"mean\": mean,\n }\n```",
"passed": 11,
"test_error": "......F.F.... [100%]\n=================================== FAILURES ===================================\n_____________________________ test_group_isolation _____________________________\n\n def test_group_isolation():\n agg = WindowedAggregator(window=10.0)\n agg.add(100.0, \"a\", 1.0)\n agg.add(100.0, \"a\", 2.0)\n agg.add(100.0, \"b\", 100.0)\n sa = agg.stats(\"a\", at=100.0)\n sb = agg.stats(\"b\", at=100.0)\n> assert sa == {\"count\": 2, \"sum\": 3.0, \"min\": 1.0, \"max\": 2.0, \"mean\": 1.5}\nE AssertionError: assert {'count': 1, ...ax': 2.0, ...} == {'count': 2, ...ax': 2.0, ...}\nE \nE Omitting 1 identical items, use -vv to show\nE Differing items:\nE {'min': 2.0} != {'min': 1.0}\nE {'mean': 2.0} != {'mean': 1.5}\nE {'sum': 2.0} != {'sum': 3.0}\nE {'count': 1} != {'count': 2}\nE Use -v to get more diff\n\ntest_windowed_aggregator.py:71: AssertionError\n___________________ test_duplicate_ts_group_events_all_count ___________________\n\n def test_duplicate_ts_group_events_all_count():\n agg = WindowedAggregator(window=10.0)\n agg.add(100.0, \"g\", 2.0)\n agg.add(100.0, \"g\", 2.0) # identical (ts, group, value)\n agg.add(100.0, \"g\", 5.0) # same (ts, group), different value\n s = agg.stats(\"g\", at=100.0)\n> assert s[\"count\"] == 3\nE assert 1 == 3\n\ntest_windowed_aggregator.py:98: AssertionError\n=========================== short test summary info ============================\nFAILED test_windowed_aggregator.py::test_group_isolation - AssertionError: as...\nFAILED test_windowed_aggregator.py::test_duplicate_ts_group_events_all_count\n2 failed, 11 passed in 0.03s"
},
{
"total": 13,
"answer": "```python\nfrom collections import defaultdict\nfrom sortedcontainers import SortedDict\n\nclass WindowedAggregator:\n def __init__(self, window: float):\n \"\"\"window = length of the time window (same units as timestamps).\"\"\"\n self.window = window\n self.events = defaultdict(SortedDict)\n\n def add(self, ts: float, group: str, value: float) -> None:\n \"\"\"Record an event. Events may arrive OUT OF ORDER (ts not monotonic).\"\"\"\n self.events[group][ts] = value\n\n def stats(self, group: str, at: float) -> dict:\n \"\"\"Aggregate the events of `group` whose timestamp is in the half-open\n window (at - window, at] — i.e. at-window < ts <= at.\"\"\"\n if group not in self.events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n window_start = at - self.window\n window_events = {ts: value for ts, value in self.events[group].items() if window_start < ts <= at}\n\n if not window_events:\n return {\"count\": 0, \"sum\": 0.0, \"min\": None, \"max\": None, \"mean\": None}\n\n count = len(window_events)\n total_sum = sum(window_events.values())\n minimum = min(window_events.values())\n maximum = max(window_events.values())\n mean = total_sum / count if count > 0 else None\n\n return {\n \"count\": count,\n \"sum\": total_sum,\n \"min\": minimum,\n \"max\": maximum,\n \"mean\": mean,\n }\n```",
"passed": 11,
"test_error": ""
}
]System prompt
You are an expert programmer. Solve the task exactly as specified. Output your solution as fenced code blocks using the required file name(s) and the exact function/type signatures requested. Prefer correctness; do not include prose outside code unless asked.