<｜begin▁of▁sentence｜>### Instruction:
As a virus researcher, imagine you are analyzing data on the rates of virus transmission within different populations over time. You need to maintain a rolling average of the daily infection rates using a window size of 5 days. Additionally, you must retrieve and record the current rolling average each time new data arrives. This will allow you to track and visualize changes in infection rates, which is crucial for informing public health policies and interventions.
### Response:
from RunningMean import RunningMean

# Initialize the RunningMean object with a specified window size
current_mean = RunningMean(window_size=5)

# Add some data points
current_mean.update(10)
current_mean.update(20)
current_mean.update(30)
current_mean.update(40)
current_mean.update(50)

current_mean.update(60)  # This would cause the window to move forward, dropping the oldest value

# Get the string representation of the current running mean object
print(repr(current_mean))
<|EOT|>
