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# Context:
USER: sort the grouped columns by descending average
ASSISTANT: To sort the grouped columns by descending average, we need to modify the `show_stats` function in the `benchmark/benchmark.py` file. Specifically, we need to sort the `df_grouped` DataFrame by its values in descending order.
Here is the change:
```python
benchmark/benchmark.py
<<<<<<< ORIGINAL
df_grouped = df.groupby(["model", "edit_format"])["pass_rate_1"].mean()
=======
df_grouped = df.groupby(["model", "edit_format"])["pass_rate_1"].mean().sort_values(ascending=False)
>>>>>>> UPDATED
```
This change will sort the grouped DataFrame `df_grouped` by its values in descending order. The `ascending=False` argument in the `sort_values` function ensures that the sorting is done in descending order.
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| .. | ||
| __init__.py | ||
| benchmark.py | ||
| docker.sh | ||
| docker_build.sh | ||
| Dockerfile | ||
| prompts.py | ||
| test_benchmark.py | ||