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Benchmark analysis: Print all top rows when asked for #2089
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bernhardmgruber
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Jul 26, 2024
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with pd.option_context('display.max_rows', None): | ||
print(extract_scores(case_dfs).head(N)) |
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I have no idea if this is the best way to achieve this. I dug this up on the web.
bernhardmgruber
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Jul 26, 2024
gevtushenko
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Jul 26, 2024
🟩 CI finished in 13h 16m: Pass: 100%/421 | Total: 2d 21h | Avg: 9m 55s | Max: 56m 07s | Hits: 96%/525254
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+/- | CCCL Infrastructure |
libcu++ | |
CUB | |
Thrust | |
CUDA Experimental | |
pycuda |
Modifications in project or dependencies?
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+/- | CCCL Infrastructure |
+/- | libcu++ |
+/- | CUB |
+/- | Thrust |
+/- | CUDA Experimental |
+/- | pycuda |
🏃 Runner counts (total jobs: 421)
# | Runner |
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305 | linux-amd64-cpu16 |
65 | linux-amd64-gpu-v100-latest-1 |
28 | linux-arm64-cpu16 |
23 | windows-amd64-cpu16 |
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Analyzing the top 10 result of a tuning run like
prints those nicely. However, sometimes I need more output, e.g.
--top 150
. Such output is truncated:This PR removes the truncation and prints the number of rows that the user asked for.