[Library Upgrade] uni2ts, momentfm, tsfm_public (Moirai, MOMENT, Granite TTM)

The following libraries are required to use popular Hugging Face time series forecasting models in LEAN algorithms:

• uni2ts — required to use Salesforce/moirai-1.0-R-small/base/large, the Moirai universal time series foundation model
• momentfm — required to use AutonLab/MOMENT-1-large, the MOMENT time series foundation model
• tsfm_public — required to use ibm-granite/granite-timeseries-ttm-r1, IBM's Granite Tiny Time Mixer

These packages cannot be installed at backtest runtime because the QC Cloud backtest environment does not have outbound network access. They need to be pre-installed in the Python environment alongside existing ML libraries like chronos, transformers, and torch.

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No file or test is identified in the issue. Start by locating the Python environment dependency definitions that install existing ML libraries such as chronos, transformers, and torch, then verify that uni2ts, momentfm, and tsfm_public are available without outbound network access; done means all three packages are pre-installed for backtests.