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remove print and slim down toml
1 parent b780405 commit 24104ff

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pyproject.toml

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@@ -125,19 +125,6 @@ cmake.build-type = "Release"
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ninja.version = ">=1.10"
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experimental = false
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cmake.args = [ "-DCMAKE_CUDA_ARCHITECTURES=75;80;86;89;90;100" ]
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sdist.include = [
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"CMakeLists.txt",
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"src/rapids_singlecell/_cuda/mean_var/mean_var.cu",
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"src/rapids_singlecell/_cuda/mean_var/kernels.cuh",
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"src/rapids_singlecell/_cuda/sparse2dense/sparse2dense.cu",
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"src/rapids_singlecell/_cuda/sparse2dense/kernels.cuh",
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"src/rapids_singlecell/_cuda/scale/scale.cu",
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"src/rapids_singlecell/_cuda/scale/kernels.cuh",
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"src/rapids_singlecell/_cuda/qc/qc.cu",
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"src/rapids_singlecell/_cuda/qc/kernels.cuh",
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"src/rapids_singlecell/_cuda/qc_dask/qc_kernels_dask.cu",
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"src/rapids_singlecell/_cuda/qc_dask/kernels.cuh",
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]
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build-dir = "build"
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metadata.version.provider = "scikit_build_core.metadata.setuptools_scm"
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src/rapids_singlecell/preprocessing/_scale.py

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@@ -153,8 +153,6 @@ def _scale_array(X, *, mask_obs=None, zero_center=True, inplace=True, max_value=
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std = cp.sqrt(var)
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std[std == 0] = 1
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max_value = _get_max_value(max_value, X.dtype)
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print(f"mean = {mean[:10]}")
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print(f"std = {std[:10]}")
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mean = mean.astype(X.dtype)
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std = std.astype(X.dtype)
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if zero_center:

src/rapids_singlecell/preprocessing/_utils.py

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@@ -33,7 +33,6 @@ def _sparse_to_dense(X: spmatrix, order: Literal["C", "F"] | None = None) -> cp.
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dense = cp.zeros(X.shape, order=order, dtype=X.dtype)
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max_nnz = cp.diff(X.indptr).max()
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print(type(X), X.shape, dense.shape, major, minor, switcher)
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_s2d.sparse2dense(
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X.indptr.data.ptr,
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X.indices.data.ptr,

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