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aaronreidsmith / numpy   python

Repository URL to install this package:

Version: 1.17.4 

/ linalg / _umath_linalg.pypy3-71-x86_64-linux-gnu.so

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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 pointer0.1.5__version___umath_linalgslogdet(m,m)->(),()(m,m)->()eigh_lo(m,m)->(m),(m,m)eigh_upeigvalsh_lo(m,m)->(m)eigvalsh_upsolve(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<=msvd_m_s(m,n)->(m,m),(m),(m,n)svd when m<=nsvd_n_s(m,n)->(m,n),(n),(n,n)svd when m>=nsvd_m_f(m,n)->(m,m),(m),(n,n)svd_n_f(m,n)->(m,m),(n),(n,n)eigeigvalslstsq_mlstsq_n_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimenumpy.core._multiarray_umath failed to import_UFUNC_API is not PyCapsule objectcannot load _umath_linalg module.numpy.core.multiarray failed to importnumpy.core.umath failed to importslogdet 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. 
(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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