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56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
"""
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Regression: get_time_slices must not IndexError when the tstamp span is
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shorter than the requested interval (default weekly).
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Chatbot Arena samples, same-second dumps, and single-row demos all produce an
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empty pd.date_range for freq='W'; the old code then crashed on date_ranges[-1].
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"""
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import pandas as pd
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from _bootstrap import bootstrap_experiment_root
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bootstrap_experiment_root()
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from data_loader import get_time_slices
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def test_identical_timestamps_return_one_slice():
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"""Two battles at the same unix second (weekly interval) -> one slice."""
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ts = 1_700_000_000
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df = pd.DataFrame({
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"tstamp": [ts, ts],
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"model_a": ["a", "c"],
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"model_b": ["b", "d"],
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"winner": ["model_a", "model_b"],
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})
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slices = get_time_slices(df, interval="W")
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assert len(slices) == 1
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end_date, slice_df = slices[0]
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assert len(slice_df) == 2
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assert end_date == pd.to_datetime(ts, unit="s")
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def test_empty_dataframe_returns_empty_list():
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"""Empty input returns [] instead of NaT ValueError."""
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df = pd.DataFrame({"tstamp": pd.Series(dtype="float64")})
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assert get_time_slices(df, interval="W") == []
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def test_multi_week_span_still_produces_buckets():
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"""A span covering multiple weeks still yields intermediate buckets."""
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# ~3 weeks apart
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df = pd.DataFrame({
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"tstamp": [1_700_000_000, 1_700_000_000 + 21 * 86400],
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"model_a": ["a", "c"],
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"model_b": ["b", "d"],
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"winner": ["model_a", "model_b"],
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})
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slices = get_time_slices(df, interval="W")
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assert len(slices) >= 2
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assert all(len(s[1]) > 0 for s in slices)
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if __name__ == "__main__":
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import pytest
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pytest.main([__file__, "-v"])
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