{"push_id":1309356270,"size":1,"distinct_size":1,"ref":"refs/heads/wip/linalg_rest_of_eig_rebase","head":"484b9b7064891e88e76850d2cdf5d74682c5f55e","before":"4ac098f2f9a5eedca04165ee46e9798720b7ba68","commits":[{"sha":"484b9b7064891e88e76850d2cdf5d74682c5f55e","author":{"name":"Stuart Archibald","email":"40107dc8aabfabb1cc5e9d690005e2546c78a8a4@opengamma.com"},"message":"Implement np.linalg.{eigvals(), eigh(), eigvalsh()}.\n\nThis PR implements:\n * numpy.linalg.eigvals()\n * numpy.linalg.eigh()\n * numpy.linalg.eigvalsh()\n\nand augments the tests and input data for numpy.linalg.eig()\nfor reuse with the above. Further, it exposes an easy to use\nwrapper of the Hermitian eigen-value/vector routines available\nfrom LAPACK.","distinct":true,"url":"https://api.github.com/repos/stuartarchibald/numba/commits/484b9b7064891e88e76850d2cdf5d74682c5f55e"}]}
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