mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-07-22 15:11:24 -05:00
Vijay Janapa Reddi
cb0ae4082f
Run quartodoc build against the refactored package (engine/ extracted from core/, infra->infrastructure): regenerate the API reference so every stub points at the new paths. Adds engine.*/infrastructure.* stubs, removes the 41 stale core.solver.* / core.engine.* / core.scenarios.* / core.config.* / core.evaluation.* / infra*.qmd orphans, and refreshes the package pages (core now primitives-only) + index. Verified: all 47 documented symbols resolve in the new package; every index link resolves; zero stale mlsysim.core.<engine-mod> / mlsysim.infra references anywhere in docs/. (objects.json inventory is gitignored -- regenerated at build.)
28 lines
703 B
Plaintext
28 lines
703 B
Plaintext
# engine.solver.PlacementOptimizer { #mlsysim.engine.solver.PlacementOptimizer }
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```python
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engine.solver.PlacementOptimizer()
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```
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Finds the optimal datacenter location to minimize TCO and Carbon.
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## Methods
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| Name | Description |
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| --- | --- |
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| [solve](#mlsysim.engine.solver.PlacementOptimizer.solve) | Determines the optimal data center location to minimize TCO and carbon taxes. |
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### solve { #mlsysim.engine.solver.PlacementOptimizer.solve }
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```python
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engine.solver.PlacementOptimizer.solve(
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fleet,
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duration_days,
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regions=['US_Avg', 'Quebec', 'Iowa'],
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carbon_tax_per_ton=100.0,
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mfu=1.0,
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)
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```
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Determines the optimal data center location to minimize TCO and carbon taxes.
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