mirror of
https://github.com/Aider-AI/aider.git
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79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
import matplotlib.pyplot as plt
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import yaml
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from imgcat import imgcat
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from matplotlib import rc
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from aider.dump import dump # noqa: 401
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def plot_over_time(yaml_file):
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with open(yaml_file, "r") as file:
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data = yaml.safe_load(file)
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dates = []
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pass_rates = []
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models = []
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print("Debug: Raw data from YAML file:")
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print(data)
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for entry in data:
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if "released" in entry and "pass_rate_2" in entry:
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dates.append(entry["released"])
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pass_rates.append(entry["pass_rate_2"])
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models.append(entry["model"].split("(")[0].strip())
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print("Debug: Processed data:")
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print("Dates:", dates)
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print("Pass rates:", pass_rates)
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print("Models:", models)
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if not dates or not pass_rates:
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print(
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"Error: No data to plot. Check if the YAML file is empty or if the data is in the"
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" expected format."
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)
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return
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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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plt.rcParams["text.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 = [
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"red" if "gpt-4" in model else "green" if "gpt-3.5" in model else "blue" for model in models
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]
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ax.scatter(dates, pass_rates, c=colors, alpha=0.5, s=120)
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for i, model in enumerate(models):
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ax.annotate(
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model,
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(dates[i], pass_rates[i]),
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fontsize=12,
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alpha=0.75,
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xytext=(5, 5),
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textcoords="offset points",
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)
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ax.set_xlabel("Model release date", fontsize=18, color="#555")
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ax.set_ylabel(
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"Aider code editing benchmark,\npercent completed correctly", fontsize=18, color="#555"
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)
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ax.set_title("LLM code editing skill by model release date", fontsize=20)
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ax.set_ylim(0, 30)
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plt.xticks(fontsize=14)
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plt.tight_layout(pad=3.0)
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plt.savefig("tmp_over_time.png")
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plt.savefig("tmp_over_time.svg")
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imgcat(fig)
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# Example usage
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plot_over_time("aider/website/_data/edit_leaderboard.yml")
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