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https://github.com/Aider-AI/aider.git
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81ac2e18cc
# Aider chat conversation:
USER: make the font color dark grey not black
ASSISTANT: Here are the changes to make the font color dark grey instead of black in `benchmark/swe_bench_lite.py` and `benchmark/over_time.py`:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10})
=======
rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10, "color": "#444444"})
>>>>>>> REPLACE
```
benchmark/over_time.py
```python
<<<<<<< SEARCH
rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10})
=======
rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10, "color": "#444444"})
>>>>>>> REPLACE
```
59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
import matplotlib.pyplot as plt
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from imgcat import imgcat
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from matplotlib import rc
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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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model = model.strip()
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model = model.replace("|", "\n")
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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, "color": "#444444"})
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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 = ["#b3e6a8" if "Aider" in model else "#b3d1e6" for model in models]
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bars = ax.bar(models, pass_rates, color=colors, alpha=0.75, zorder=3)
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for bar in bars:
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yval = bar.get_height()
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ax.text(
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bar.get_x() + bar.get_width() / 2,
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yval + 0.5,
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f"{yval}%",
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ha="center",
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va="bottom",
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fontsize=12,
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alpha=0.75,
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)
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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", fontsize=20)
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ax.set_ylim(0, 30)
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plt.xticks(rotation=45, ha="right", fontsize=16)
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plt.tight_layout(pad=3.0)
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plt.savefig("swe_bench_lite.jpg")
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plt.savefig("swe_bench_lite.svg")
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imgcat(fig)
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# Example usage
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plot_swe_bench_lite("benchmark/tmp.txt")
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