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init_gqr_common init_gelsd init_geqrf numpy.core._multiarray_umath _ARRAY_API _ARRAY_API not found _ARRAY_API is NULL pointer _UFUNC_API _UFUNC_API not found _UFUNC_API is NULL pointer 0.1.5 __version__ _umath_linalg slogdet (m,m)->(),() (m,m)->() eigh_lo (m,m)->(m),(m,m) eigh_up eigvalsh_lo (m,m)->(m) eigvalsh_up solve (m,m),(m,n)->(m,n) solve1 (m,m),(m)->(m) inv (m, m)->(m, m) cholesky_lo (m,m)->(m,m) svd_m (m,n)->(m) svd when n>=m. svd_n (m,n)->(n) svd when n<=m svd_m_s (m,n)->(m,m),(m),(m,n) svd when m<=n svd_n_s (m,n)->(m,n),(n),(n,n) svd when m>=n svd_m_f (m,n)->(m,m),(m),(n,n) svd_n_f (m,n)->(m,m),(n),(n,n) eig eigvals qr_r_raw_m qr_r_raw_n qr_reduced (m,n),(k)->(m,k) qr_complete (m,n),(n)->(m,m) lstsq_m lstsq_n _ARRAY_API is not PyCapsule object module compiled against ABI version 0x%x but this version of numpy is 0x%x module compiled against API version 0x%x but this version of numpy is 0x%x . Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem . FATAL: module compiled as unknown endian FATAL: module compiled as little endian, but detected different endianness at runtime numpy.core.multiarray failed to import numpy.core._multiarray_umath failed to import _UFUNC_API is not PyCapsule object numpy.core.umath failed to import slogdet on the last two dimensions and broadcast on the rest.
Results in two arrays, one with sign and the other with log of the determinants.
"(m,m)->(),()"
det of the last two dimensions and broadcast on the rest.
"(m,m)->()"
eigh on the last two dimension and broadcast to the rest, using lower triangle
Results in a vector of eigenvalues and a matrix with theeigenvectors.
"(m,m)->(m),(m,m)"
eigh on the last two dimension and broadcast to the rest, using upper triangle.
Results in a vector of eigenvalues and a matrix with the eigenvectors.
"(m,m)->(m),(m,m)"
eigh on the last two dimension and broadcast to the rest, using lower triangle.
Results in a vector of eigenvalues and a matrix with theeigenvectors.
"(m,m)->(m)"
eigvalsh on the last two dimension and broadcast to the rest, using upper triangle.
Results in a vector of eigenvalues and a matrix with theeigenvectors.
"(m,m)->(m)"
solve the system a x = b, on the last two dimensions, broadcast to the rest.
Results in a matrices with the solutions.
"(m,m),(m,n)->(m,n)"
solve the system a x = b, for b being a vector, broadcast in the outer dimensions.
Results in vectors with the solutions.
"(m,m),(m)->(m)"
compute the inverse of the last two dimensions and broadcast to the rest.
Results in the inverse matrices.
"(m,m)->(m,m)"
cholesky decomposition of hermitian positive-definite matrices.
Broadcast to all outer dimensions.
"(m,m)->(m,m)"
eig on the last two dimension and broadcast to the rest.
Results in a vector with the eigenvalues and a matrix with the eigenvectors.
"(m,m)->(m),(m,m)"
eigvals on the last two dimension and broadcast to the rest.
Results in a vector of eigenvalues.
Compute TAU vector for the last two dimensions
and broadcast to the rest. For m <= n.
Compute TAU vector for the last two dimensions
and broadcast to the rest. For m > n.
Compute Q matrix for the last two dimensions
and broadcast to the rest.
Compute Q matrix for the last two dimensions
and broadcast to the rest. For m > n.
(m,n),(m,nrhs),()->(n,nrhs),(nrhs),(),(m) least squares on the last two dimensions and broadcast to the rest.
For m <= n.
(m,n),(m,nrhs),()->(n,nrhs),(nrhs),(),(n) least squares on the last two dimensions and broadcast to the rest.
For m >= n, meaning that residuals are produced.
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