[python] support uploading examples with attachments and running evals on examples with attachments #548
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
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WARNING: the benchmark result may be unstable
* the standard deviation (79.0 ms) is 11% of the mean (692 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: 692 ms +- 79 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (166 ms) is 12% of the mean (1.34 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: 1.34 sec +- 0.17 sec
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WARNING: the benchmark result may be unstable
* the standard deviation (191 ms) is 14% 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 +- 0.19 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 702 us +- 8 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.0 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 (17.7 ms) is 25% of the mean (72.1 ms)
* the maximum (111 ms) is 54% greater than the mean (72.1 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: 72.1 ms +- 17.7 ms
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dumps_pydanticv1_nested_50x100: Mean +- std dev: 195 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 | 195 ms: 1.14x faster |
+-----------------------------------------------+----------+------------------------+
| create_5_000_run_trees | 724 ms | 692 ms: 1.05x faster |
+-----------------------------------------------+----------+------------------------+
| create_10_000_run_trees | 1.40 sec | 1.34 sec: 1.04x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_dataclass_nested_50x100 | 25.6 ms | 25.2 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_100x200 | 105 ms | 104 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| create_20_000_run_trees | 1.39 sec | 1.38 sec: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 25.1 ms | 25.0 ms: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 702 us: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_pydantic_nested_50x100 | 66.2 ms | 72.1 ms: 1.09x slower |
+-----------------------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.02x faster |
+-----------------------------------------------+----------+------------------------+
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