diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 142de2340..a4b6dc5a7 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -154,7 +154,7 @@ def cholesky(a): _assertRank2(a) _assertSquareness(a) t, result_t = _commonType(a) - a = _castCopyAndTranspose(t, a) + a = _fastCopyAndTranspose(t, a) m = a.shape[0] n = a.shape[1] if isComplexType(t): @@ -215,7 +215,7 @@ def eigvalsh(a, UPLO='L'): _assertSquareness(a) t, result_t = _commonType(a) real_t = _linalgRealType(t) - a = _castCopyAndTranspose(t, a) + a = _fastCopyAndTranspose(t, a) n = a.shape[0] liwork = 5*n+3 iwork = zeros((liwork,), fortran_int) @@ -319,7 +319,7 @@ def eigh(a, UPLO='L'): _assertSquareness(a) t, result_t = _commonType(a) real_t = _linalgRealType(t) - a = _castCopyAndTranspose(t, a) + a = _fastCopyAndTranspose(t, a) n = a.shape[0] liwork = 5*n+3 iwork = zeros((liwork,), fortran_int) @@ -514,7 +514,7 @@ Singular values less than s[0]*rcond are treated as zero. real_t = _linalgRealType(t) bstar = zeros((ldb,n_rhs),t) bstar[:b.shape[0],:n_rhs] = b.copy() - a, bstar = _castCopyAndTranspose(t, a, bstar) + a, bstar = _fastCopyAndTranspose(t, a, bstar) s = zeros((min(m,n),),real_t) nlvl = max( 0, int( math.log( float(min( m,n ))/2. ) ) + 1 ) iwork = zeros((3*min(m,n)*nlvl+11*min(m,n),), fortran_int) |