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@@ -199,31 +199,9 @@ Installation instructions and the lecture index are maintained at the
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  repository root. Lecture-specific commands, mathematical explanations, and
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  references accompany the corresponding code.
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- ## Tests
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-
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- ```bash
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- python -m unittest discover -s tests -v
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- python -m unittest discover -s lecture_4/tests -v
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- python -m unittest discover -s lecture_5/tests -v
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- python -m unittest discover -s lecture_6/tests -v
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- python -m unittest discover -s lecture_7/tests -v
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- ```
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-
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- The Lecture 3 unit tests cover property annotations, scalarization weights, reward
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- gradients, DDPM schedule indexing, and constrained decoding.
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-
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- Lecture 4 tests check reverse KL losses and guidance calculations. Lecture 5
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- tests check the master equation, Fisher geometry, Gumbel path derivatives, and
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- MH detailed balance. Lecture 6 checks map identities and JVPs, categorical
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- teachers, GLASS conditioning, reward gradients, insertion clocks, and Brownian
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- composition. Its end-to-end runner also verifies checkpoint reloads. Lecture 7 checks OT duality, bridge marginals and conditional paths, generator identities, matching targets, and control geometry, with 17 seeded checkpoint-reload checks.
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- Run a short end-to-end check of every method from its
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- lecture folder with `python run_all.py --quick`.
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-
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  ## License
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  The repository code is distributed under the
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  [MIT License](https://huggingface.co/ChatterjeeLab/CIS6270/blob/main/LICENSE).
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- The Lecture 2 U-Net checkpoint is included under the same license. The Lecture 3
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  ESM-2 weights are downloaded from their original repository under the
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  corresponding distribution terms.
 
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  repository root. Lecture-specific commands, mathematical explanations, and
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  references accompany the corresponding code.
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  ## License
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  The repository code is distributed under the
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  [MIT License](https://huggingface.co/ChatterjeeLab/CIS6270/blob/main/LICENSE).
 
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  ESM-2 weights are downloaded from their original repository under the
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  corresponding distribution terms.