aider: Used the colorscheme and fonts from the graphs in plots.py in over_time.py.

# Aider chat conversation:

USER: use the colorscheme and fonts from the graphs in plots.py

ASSISTANT: To use the colorscheme and fonts from the graphs in `plots.py`, we need to:

1. Import the necessary settings from `plots.py`.
2. Apply these settings to the graph in `over_time.py`.

Here are the changes:

benchmark/over_time.py
```python
<<<<<<< SEARCH
import yaml
from datetime import datetime
=======
import yaml
from datetime import datetime
from matplotlib import rc
>>>>>>> REPLACE
```

benchmark/over_time.py
```python
<<<<<<< SEARCH
    plt.figure(figsize=(10, 6))
=======
    plt.rcParams["hatch.linewidth"] = 0.5
    plt.rcParams["hatch.color"] = "#444444"

    rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10})

    fig, ax = plt.subplots(figsize=(6, 4))
    ax.grid(axis="y", zorder=0, lw=0.2)
>>>>>>> REPLACE
```

benchmark/over_time.py
```python
<<<<<<< SEARCH
    plt.scatter(dates, pass_rates, c=colors, alpha=0.5)
=======
    ax.scatter(dates, pass_rates, c=colors, alpha=0.5)
>>>>>>> REPLACE
```

benchmark/over_time.py
```python
<<<<<<< SEARCH
        plt.annotate(model, (dates[i], pass_rates[i]), fontsize=8, alpha=0.75)

    plt.xlabel('Release Date')
    plt.ylabel('Pass Rate 2')
    plt.title('Model Performance Over Time')
    plt.grid(True)
    plt.tight_layout()
    plt.show()
=======
        ax.annotate(model, (dates[i], pass_rates[i]), fontsize=8, alpha=0.75)

    ax.set_xlabel('Release Date')
    ax.set_ylabel('Pass Rate 2')
    ax.set_title('Model Performance Over Time')
    plt.tight_layout()
    plt.savefig("tmp_over_time.svg")
    imgcat(fig)
>>>>>>> REPLACE
```

benchmark/over_time.py

@@ -1,6 +1,7 @@
 import matplotlib.pyplot as plt
 import yaml
 from datetime import datetime
+from matplotlib import rc
 
 def plot_over_time(yaml_file):
     with open(yaml_file, 'r') as file:
@@ -16,19 +17,25 @@ def plot_over_time(yaml_file):
             pass_rates.append(entry['pass_rate_2'])
             models.append(entry['model'])
 
-    plt.figure(figsize=(10, 6))
+    plt.rcParams["hatch.linewidth"] = 0.5
+    plt.rcParams["hatch.color"] = "#444444"
+
+    rc("font", **{"family": "sans-serif", "sans-serif": ["Helvetica"], "size": 10})
+
+    fig, ax = plt.subplots(figsize=(6, 4))
+    ax.grid(axis="y", zorder=0, lw=0.2)
     colors = ['red' if 'gpt-4' in model else 'green' if 'gpt-3.5' in model else 'blue' for model in models]
-    plt.scatter(dates, pass_rates, c=colors, alpha=0.5)
+    ax.scatter(dates, pass_rates, c=colors, alpha=0.5)
 
     for i, model in enumerate(models):
-        plt.annotate(model, (dates[i], pass_rates[i]), fontsize=8, alpha=0.75)
+        ax.annotate(model, (dates[i], pass_rates[i]), fontsize=8, alpha=0.75)
 
-    plt.xlabel('Release Date')
-    plt.ylabel('Pass Rate 2')
-    plt.title('Model Performance Over Time')
-    plt.grid(True)
+    ax.set_xlabel('Release Date')
+    ax.set_ylabel('Pass Rate 2')
+    ax.set_title('Model Performance Over Time')
     plt.tight_layout()
-    plt.show()
+    plt.savefig("tmp_over_time.svg")
+    imgcat(fig)
 
 # Example usage
 plot_over_time('_data/edit_leaderboard.yml')