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Merge pull request #64 from YosefLab/Ori-release-0p1p8
release: v0.1.8
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‎CHANGELOG.md‎

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## [Unreleased]
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## [0.1.8] - 2026-10-28
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### Changed
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- **Harreman and VISION accessor methods now expose their real arguments.** The
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`HarremanToolsAccessor`, `HarremanPlottingAccessor`, and
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`scviva.tools.vision.VisionToolsAccessor`.
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- Fix {meth}`scviva.model.DestVI.from_rna_model` with a {class}`scvi.model.CondSCVI` trained with
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the default `prior="normal"`: it raised a `KeyError` when `prior` was not passed explicitly and
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a `TypeError` because the VampPrior from {meth}`scvi.model.CondSCVI.get_vamp_prior` was
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registered as numpy buffers. The VampPrior of {class}`scviva.module.MRDeconv` is now built from
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its buffers, so it follows the module to GPU and MPS devices.
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the default `prior="normal"`: it raised a `KeyError` when `prior` was not passed explicitly and
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a `TypeError` because the VampPrior from {meth}`scvi.model.CondSCVI.get_vamp_prior` was
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registered as numpy buffers. The VampPrior of {class}`scviva.module.MRDeconv` is now built from
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its buffers, so it follows the module to GPU and MPS devices.
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- `pooch` and `igraph` are now imported lazily and guarded with the
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{func}`scvi.utils.dependencies` decorator, so `import scviva` no longer requires them.
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`pooch` is needed only by the Harreman dataset/database loaders

‎pyproject.toml‎

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[project]
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name = "scviva-tools"
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version = "0.1.7"
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version = "0.1.8"
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description = "Consolidated spatial transcriptomics analysis toolkit with variational inference methods"
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readme = "README.md"
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keywords = [ "deconvolution", "deep learning", "single-cell", "spatial transcriptomics", "variational inference" ]

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