Historical SciPy PROPACK 2.1 sources, whose repository is archived and explicitly points to rmlarsen/propack for the maintained implementation. The current author archive and tags v2.2/v2.1 exceed the unchanged source download limit, largely due to saved example outputs. The menu explicitly identifies this historical source choice. Only the native double-precision serial routines are wrapped, using the portable RISC modified Gram-Schmidt implementation and compatible system LP64 BLAS/LAPACK. Numerical sources are unchanged. A callback supplies multiplication by a rectangular diagonal matrix with known singular values. The consumer passes a writable convergence-count argument, requests the leading three singular triplets, and checks 12, 11 and 10, both A*v-sigma*u and transpose(A)*u-sigma*v residuals, finite values and unit vector norms. The restarted algorithm, other precisions, arbitrary sparse matrices and parallel performance are not verified.
Package dependencies
Resolved GitHub repositories used by the verified playground build, combining direct and indirect dependencies. This list does not describe internal module dependencies or native system libraries.
Required by this build
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Build record verified 2026-10-29.
Used by (0 selected packages)
No other selected build records this repository as a dependency. This is not a measure of usage outside the catalog.
Reviewed procedures
These mappings have pinned source evidence. A checked package example may exercise only some of them; source review is not a numerical benchmark.
Historical SciPy PROPACK 2.1 sources, whose repository is archived and explicitly points to rmlarsen/propack for the maintained implementation. The current author archive and tags v2.2/v2.1 exceed the unchanged source download limit, largely due to saved example outputs. The menu explicitly identifies this historical source choice. Only the native double-precision serial routines are wrapped, using the portable RISC modified Gram-Schmidt implementation and compatible system LP64 BLAS/LAPACK. Numerical sources are unchanged. A callback supplies multiplication by a rectangular diagonal matrix with known singular values. The consumer passes a writable convergence-count argument, requests the leading three singular triplets, and checks 12, 11 and 10, both A*v-sigma*u and transpose(A)*u-sigma*v residuals, finite values and unit vector norms. The restarted algorithm, other precisions, arbitrary sparse matrices and parallel performance are not verified.