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5761218b9a
# Aider chat conversation:
USER: save it as a png and svg and imgcat it out
ASSISTANT: To save the graph as a PNG and SVG and then display it using `imgcat`, we need to modify `benchmark/swe_bench_lite.py`:
1. Import `imgcat`.
2. Add `imgcat` to display the graph after saving it.
Here are the *SEARCH/REPLACE* blocks:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
from matplotlib import rc
=======
from matplotlib import rc
from imgcat import imgcat
>>>>>>> REPLACE
```
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
plt.show()
=======
imgcat(fig)
plt.show()
>>>>>>> REPLACE
```
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
import matplotlib.pyplot as plt
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from matplotlib import rc
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from imgcat import imgcat
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def plot_swe_bench_lite(data_file):
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with open(data_file, "r") as file:
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lines = file.readlines()
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models = []
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pass_rates = []
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for line in lines:
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if line.strip():
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pass_rate, model = line.split("%")
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models.append(model.strip())
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pass_rates.append(float(pass_rate.strip()))
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plt.rcParams["hatch.linewidth"] = 0.5
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plt.rcParams["hatch.color"] = "#444444"
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rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10})
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fig, ax = plt.subplots(figsize=(10, 5))
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ax.grid(axis="y", zorder=0, lw=0.2)
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for spine in ax.spines.values():
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spine.set_edgecolor("#DDDDDD")
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spine.set_linewidth(0.5)
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colors = [
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"red" if "Aider" in model else "blue" for model in models
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]
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bars = ax.bar(models, pass_rates, color=colors, alpha=0.5, zorder=3)
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for bar in bars:
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yval = bar.get_height()
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ax.text(bar.get_x() + bar.get_width()/2, yval + 0.5, f'{yval}%', ha='center', va='bottom', fontsize=12, alpha=0.75)
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ax.set_xlabel("Models", fontsize=18)
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ax.set_ylabel("Pass Rate (%)", fontsize=18)
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ax.set_title("SWE Bench Lite pass rates", fontsize=20)
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plt.xticks(rotation=45, ha='right')
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plt.tight_layout()
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plt.savefig("swe_bench_lite.png")
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plt.savefig("swe_bench_lite.svg")
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imgcat(fig)
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plt.show()
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# Example usage
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plot_swe_bench_lite("benchmark/tmp.txt")
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