Streaming Dataset Simulator stops working beyond 10,000 batches

Environment

• OS: Mac OS (Sequoia 15.2)
• Hardware (GPU, or instance type): Macbook (CPU Box)
• Streaming Version: 0.11.0

To reproduce

Enter in training duration == 100,000 batches. When training duration is > 10,000 (we tried setting training duration 100,000), the streaming simulator hangs. The terminal stops printing out progress per batch. Additionally, the plot in the UI hangs as well.

Here is what the terminal looks like when the simulator hangs:

Here's what the UI looks like when the simulator hangs:

he simulator hangs:

Expected behavior

I expect the simulator to work when the training duration is set at 100,000 like it does when the number of batches is 10,000 or less. Here is what the terminal looks like when the simulator is working.

Here is what the UI looks like when the simulator is working:

Additional context

Start by reproducing the Streaming Dataset Simulator hang on Mac OS Sequoia 15.2 with Streaming 0.11.0, comparing 10,000 and 100,000 batches. Observe both terminal progress and the UI plot, then trace the simulator entry point responsible for batch progress and plotting. Done means 100,000 batches continue producing terminal progress and the UI plot without hanging.