scipy.linalg.find_best_blas_type

scipy.linalg.find_best_blas_type(arrays=(), dtype=None)[source]

Find best-matching BLAS/LAPACK type.

Arrays are used to determine the optimal prefix of BLAS routines.

Parameters
arrayssequence of ndarrays, optional

Arrays can be given to determine optimal prefix of BLAS routines. If not given, double-precision routines will be used, otherwise the most generic type in arrays will be used.

dtypestr or dtype, optional

Data-type specifier. Not used if arrays is non-empty.

Returns
prefixstr

BLAS/LAPACK prefix character.

dtypedtype

Inferred Numpy data type.

prefer_fortranbool

Whether to prefer Fortran order routines over C order.

Examples

>>> import scipy.linalg.blas as bla
>>> rng = np.random.default_rng()
>>> a = rng.random((10,15))
>>> b = np.asfortranarray(a)  # Change the memory layout order
>>> bla.find_best_blas_type((a,))
('d', dtype('float64'), False)
>>> bla.find_best_blas_type((a*1j,))
('z', dtype('complex128'), False)
>>> bla.find_best_blas_type((b,))
('d', dtype('float64'), True)