[python] support uploading examples with attachments and running evals on examples with attachments #561
isahers1Annotations
1 warning and 2 notices
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benchmark
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
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Benchmark results:
python/bench/upload_example_with_large_file_attachment.py#L1
...........
WARNING: the benchmark result may be unstable
* the standard deviation (100 ms) is 15% of the mean (668 ms)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_5_000_run_trees: Mean +- std dev: 668 ms +- 100 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (156 ms) is 11% of the mean (1.40 sec)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_10_000_run_trees: Mean +- std dev: 1.40 sec +- 0.16 sec
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WARNING: the benchmark result may be unstable
* the standard deviation (160 ms) is 12% of the mean (1.38 sec)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_20_000_run_trees: Mean +- std dev: 1.38 sec +- 0.16 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 704 us +- 6 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 24.9 ms +- 0.2 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 25.2 ms +- 0.2 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (17.0 ms) is 24% of the mean (71.0 ms)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
dumps_pydantic_nested_50x100: Mean +- std dev: 71.0 ms +- 17.0 ms
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dumps_pydanticv1_nested_50x100: Mean +- std dev: 198 ms +- 3 ms
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Comparison against main:
python/bench/upload_example_with_large_file_attachment.py#L1
+-----------------------------------------------+----------+------------------------+
| Benchmark | main | changes |
+===============================================+==========+========================+
| dumps_pydanticv1_nested_50x100 | 221 ms | 198 ms: 1.12x faster |
+-----------------------------------------------+----------+------------------------+
| create_5_000_run_trees | 724 ms | 668 ms: 1.08x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_dataclass_nested_50x100 | 25.6 ms | 25.2 ms: 1.02x faster |
+-----------------------------------------------+----------+------------------------+
| create_20_000_run_trees | 1.39 sec | 1.38 sec: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 25.1 ms | 24.9 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_100x200 | 105 ms | 104 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| create_10_000_run_trees | 1.40 sec | 1.40 sec: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 704 us: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_pydantic_nested_50x100 | 66.2 ms | 71.0 ms: 1.07x slower |
+-----------------------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.02x faster |
+-----------------------------------------------+----------+------------------------+
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