ANL-CEEESA/UnitCommitment.jl
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Reduce benchmark set; add samples

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[benchmark]
This commit is contained in:
Alinson S. Xavier
2020-11-15 13:50:34 -06:00
parent e372e43eaa
commit 3caff596aa
3 changed files with 5 additions and 343 deletions
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6
benchmark/scripts/compare.py
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@@ -8,7 +8,7 @@ import seaborn as sns
import matplotlib.pyplot as plt
import sys
easy_cutoff = 120
#easy_cutoff = 120
b1 = pd.read_csv(sys.argv[1], index_col=0)
b2 = pd.read_csv(sys.argv[2], index_col=0)
@@ -24,10 +24,10 @@ merged["Time diff (s)"] = merged["B Time (s)"] - merged["A Time (s)"]
merged["Value diff (%)"] = np.round((merged["B Value"] - merged["A Value"]) / merged["A Value"] * 100.0, 5)
merged.loc[merged.loc[:, "B Time (s)"] <= 0, "Speedup"] = float("nan")
merged.loc[merged.loc[:, "B Time (s)"] <= 0, "Time diff (s)"] = float("nan")
merged = merged[(merged["A Time (s)"] >= easy_cutoff) | (merged["B Time (s)"] >= easy_cutoff)]
#merged = merged[(merged["A Time (s)"] >= easy_cutoff) | (merged["B Time (s)"] >= easy_cutoff)]
merged.reset_index(inplace=True)
merged["Name"] = merged["Group"] + "/" + merged["Instance"]
merged = merged.sort_values(by="Speedup", ascending=False)
#merged = merged.sort_values(by="Speedup", ascending=False)
k = len(merged.groupby("Name"))