# Aider chat conversation:
USER: I did `git reset --hard HEAD~1` to discard the last edits. Please wait for further instructions before attempting that change again. Feel free to ask relevant questions about why the changes were reverted.
ASSISTANT: Understood. If you have any specific instructions or further changes you'd like to make, please let me know!
USER: make the axes labels font larger
ASSISTANT: To make the axes labels font larger, we can adjust the `fontsize` parameter in the `set_xlabel` and `set_ylabel` methods.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
ax.set_xlabel('Model release date')
ax.set_ylabel('Aider code editing benchmark,\npercent completed correctly')
=======
ax.set_xlabel('Model release date', fontsize=14)
ax.set_ylabel('Aider code editing benchmark,\npercent completed correctly', fontsize=14)
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: make the labels not overlap the dots
ASSISTANT: To make the labels not overlap the dots, we can adjust the position of the labels slightly using the `xytext` parameter in the `annotate` function.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
ax.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,
xytext=(5, 5), textcoords='offset points')
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: color the gpt-3.5 models a new color
ASSISTANT: To color the "gpt-3.5" models a new color, we need to modify the plotting code in `benchmark/over_time.py` to check for "gpt-3.5" in the model name and assign a different color.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
colors = ['red' if 'gpt-4' in model else 'blue' for model in models]
=======
colors = ['red' if 'gpt-4' in model else 'green' if 'gpt-3.5' in model else 'blue' for model in models]
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: color the "gpt-4" models differently
ASSISTANT: To color the "gpt-4" models differently, we need to modify the plotting code in `benchmark/over_time.py` to check for "gpt-4" in the model name and assign a different color.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
plt.scatter(dates, pass_rates, c='blue', alpha=0.5)
=======
colors = ['red' if 'gpt-4' in model else 'blue' for model in models]
plt.scatter(dates, pass_rates, c=colors, alpha=0.5)
>>>>>>> REPLACE
```
This change will color the points red if the model name contains "gpt-4", otherwise, it will color them blue.
# Aider chat conversation:
USER: I ran this command:
python benchmark/over_time.py
And got this output:
Traceback (most recent call last):
File "/Users/gauthier/Projects/aider/benchmark/over_time.py", line 33, in <module>
plot_over_time('_data/edit_leaderboard.yml')
File "/Users/gauthier/Projects/aider/benchmark/over_time.py", line 15, in plot_over_time
dates.append(datetime.strptime(entry['released'], '%Y-%m-%d'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: strptime() argument 1 must be str, not datetime.date
ASSISTANT: The error indicates that the `released` field in the YAML file is already a `datetime.date` object, so we don't need to parse it with `datetime.strptime`. We can directly use it in the plot.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
dates.append(datetime.strptime(entry['released'], '%Y-%m-%d'))
=======
dates.append(entry['released'])
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: in over_time.py, draw a graph for each of the yaml entries with a `released` date. plot date on x, `pass_rate_2` on y and label with the `model` name. do a scatter plot. use colors/styles similar to the other graphs.
ASSISTANT: To draw a scatter plot for each of the YAML entries with a `released` date, we need to:
1. Read the YAML file.
2. Extract the `released` date and `pass_rate_2` for each entry.
3. Plot the data using matplotlib.
Here are the changes:
benchmark/over_time.py
```python
<<<<<<< SEARCH
=======
import matplotlib.pyplot as plt
import yaml
from datetime import datetime
def plot_over_time(yaml_file):
with open(yaml_file, 'r') as file:
data = yaml.safe_load(file)
dates = []
pass_rates = []
models = []
for entry in data:
if 'released' in entry and 'pass_rate_2' in entry:
dates.append(datetime.strptime(entry['released'], '%Y-%m-%d'))
pass_rates.append(entry['pass_rate_2'])
models.append(entry['model'])
plt.figure(figsize=(10, 6))
plt.scatter(dates, pass_rates, c='blue', alpha=0.5)
for i, model in enumerate(models):
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()
# Example usage
plot_over_time('_data/edit_leaderboard.yml')
>>>>>>> REPLACE
```
