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279 lines
9 KiB
Python
279 lines
9 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 get_legend_label(model):
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model = model.lower()
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if "claude-3-sonnet" in model:
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return "Claude 3 Sonnet"
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if "o1-preview" in model:
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return "O1 Preview"
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if "gpt-3.5" in model:
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return "GPT-3.5 Turbo"
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if "gpt-4-" in model and "-4o" not in model:
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return "GPT-4"
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if "qwen" in model:
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return "Qwen"
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if "-4o" in model:
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return "GPT-4o"
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if "haiku" in model:
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return "Haiku"
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if "deepseek" in model:
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return "DeepSeek"
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if "mistral" in model:
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return "Mistral"
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if "o1-preview" in model:
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return "o1-preview"
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return model
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def get_model_color(model):
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default = "lightblue"
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if model == "gpt-4o-mini":
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return default
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if "qwen" in model.lower():
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return "darkblue"
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if "mistral" in model.lower():
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return "cyan"
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if "haiku" in model.lower():
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return "pink"
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if "deepseek" in model.lower():
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return "brown"
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if "sonnet" in model.lower():
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return "orange"
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if "o1-preview" in model.lower():
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return "magenta"
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if "-4o" in model:
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return "purple"
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if "gpt-4" in model:
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return "red"
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if "gpt-3.5" in model:
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return "green"
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return default
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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=(12, 8)) # Make figure square
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print("Debug: Figure created. Plotting data...")
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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 = [get_model_color(model) for model in models]
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# Separate data points by color
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purple_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "purple"]
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red_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "red"]
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green_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "green"]
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orange_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "orange"]
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brown_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "brown"]
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pink_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "pink"]
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qwen_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "darkblue"]
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mistral_points = [(d, r) for d, r, c in zip(dates, pass_rates, colors) if c == "cyan"]
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# Create a mapping of colors to first points and labels
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color_to_first_point = {}
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color_to_label = {}
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for date, rate, color, model in zip(dates, pass_rates, colors, models):
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if color not in color_to_first_point:
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color_to_first_point[color] = (date, rate)
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color_to_label[color] = get_legend_label(model)
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# Plot lines and add labels at first points
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if purple_points:
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purple_dates, purple_rates = zip(*sorted(purple_points))
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ax.plot(purple_dates, purple_rates, c="purple", alpha=0.5, linewidth=1)
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if "purple" in color_to_first_point:
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date, rate = color_to_first_point["purple"]
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ax.annotate(
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color_to_label["purple"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="purple",
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alpha=0.8,
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fontsize=12,
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)
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if red_points:
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red_dates, red_rates = zip(*sorted(red_points))
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ax.plot(red_dates, red_rates, c="red", alpha=0.5, linewidth=1)
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if "red" in color_to_first_point:
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date, rate = color_to_first_point["red"]
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ax.annotate(
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color_to_label["red"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="red",
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alpha=0.8,
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fontsize=12,
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)
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if green_points:
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green_dates, green_rates = zip(*sorted(green_points))
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ax.plot(green_dates, green_rates, c="green", alpha=0.5, linewidth=1)
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if "green" in color_to_first_point:
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date, rate = color_to_first_point["green"]
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ax.annotate(
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color_to_label["green"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="green",
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alpha=0.8,
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fontsize=12,
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)
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if orange_points:
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orange_dates, orange_rates = zip(*sorted(orange_points))
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ax.plot(orange_dates, orange_rates, c="orange", alpha=0.5, linewidth=1)
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if "orange" in color_to_first_point:
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date, rate = color_to_first_point["orange"]
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ax.annotate(
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color_to_label["orange"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="orange",
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alpha=0.8,
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fontsize=12,
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)
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if brown_points:
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brown_dates, brown_rates = zip(*sorted(brown_points))
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ax.plot(brown_dates, brown_rates, c="brown", alpha=0.5, linewidth=1)
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if "brown" in color_to_first_point:
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date, rate = color_to_first_point["brown"]
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ax.annotate(
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color_to_label["brown"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="brown",
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alpha=0.8,
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fontsize=12,
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)
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if pink_points:
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pink_dates, pink_rates = zip(*sorted(pink_points))
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ax.plot(pink_dates, pink_rates, c="pink", alpha=0.5, linewidth=1)
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if "pink" in color_to_first_point:
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date, rate = color_to_first_point["pink"]
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ax.annotate(
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color_to_label["pink"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="pink",
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alpha=0.8,
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fontsize=12,
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)
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if qwen_points:
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qwen_dates, qwen_rates = zip(*sorted(qwen_points))
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ax.plot(qwen_dates, qwen_rates, c="darkblue", alpha=0.5, linewidth=1)
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if "darkblue" in color_to_first_point:
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date, rate = color_to_first_point["darkblue"]
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ax.annotate(
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color_to_label["darkblue"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="darkblue",
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alpha=0.8,
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fontsize=12,
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)
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if mistral_points:
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mistral_dates, mistral_rates = zip(*sorted(mistral_points))
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ax.plot(mistral_dates, mistral_rates, c="cyan", alpha=0.5, linewidth=1)
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if "cyan" in color_to_first_point:
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date, rate = color_to_first_point["cyan"]
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ax.annotate(
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color_to_label["cyan"],
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(date, rate),
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xytext=(10, 5),
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textcoords="offset points",
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color="cyan",
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alpha=0.8,
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fontsize=12,
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)
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# Plot points without legend
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for date, rate, color in zip(dates, pass_rates, colors):
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ax.scatter([date], [rate], c=[color], alpha=0.5, s=120)
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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(30, 90) # Adjust y-axis limit to accommodate higher values
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plt.xticks(fontsize=14, rotation=45, ha="right") # Rotate x-axis labels for better readability
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plt.tight_layout(pad=1.0) # Adjust layout since we don't need room for legend anymore
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print("Debug: Saving figures...")
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plt.savefig("tmp_over_time.png")
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plt.savefig("tmp_over_time.svg")
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print("Debug: Displaying figure with imgcat...")
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imgcat(fig)
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print("Debug: Figure generation complete.")
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# Example usage
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plot_over_time("aider/website/_data/edit_leaderboard.yml")
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