1f41be845b26e3186879b5caa5a15ecd17f41416
ScenarioLibrary sweeps the state space (not samples) across: - spread_mult: [0.1, 0.5, 1.0, 2.0, 5.0, 10.0] - depth_fraction: [0.01, 0.05, 0.1, 0.3, 0.5, 1.0] - toxicity: [0.0, 0.3, 0.7, 1.0] - regime: [normal, crisis, recovery, transition] Default: 13 assets × 576 grid points = 7,488 scenarios. Customizable: specify symbols, dimensions, ranges. 7 tests covering: grid size, sweep output, point fields, regime coverage, custom dimensions, summary, factory function.
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
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Python
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