diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index ea4585dfa..10d05f07f 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -594,7 +594,7 @@ def eigvals(a): result_t = _complexType(result_t) if results['info'] > 0: raise LinAlgError, 'Eigenvalues did not converge' - return wrap(w.astype(result_t)) + return w.astype(result_t) def eigvalsh(a, UPLO='L'): @@ -673,7 +673,7 @@ def eigvalsh(a, UPLO='L'): iwork, liwork, 0) if results['info'] > 0: raise LinAlgError, 'Eigenvalues did not converge' - return wrap(w.astype(result_t)) + return w.astype(result_t) def _convertarray(a): t, result_t = _commonType(a) @@ -786,7 +786,7 @@ def eig(a): if results['info'] > 0: raise LinAlgError, 'Eigenvalues did not converge' vt = v.transpose().astype(result_t) - return wrap(w.astype(result_t)), wrap(vt) + return w.astype(result_t), wrap(vt) def eigh(a, UPLO='L'): @@ -872,7 +872,7 @@ def eigh(a, UPLO='L'): if results['info'] > 0: raise LinAlgError, 'Eigenvalues did not converge' at = a.transpose().astype(result_t) - return wrap(w.astype(_realType(result_t))), wrap(at) + return w.astype(_realType(result_t)), wrap(at) # Singular value decomposition @@ -979,9 +979,9 @@ def svd(a, full_matrices=1, compute_uv=1): if compute_uv: u = u.transpose().astype(result_t) vt = vt.transpose().astype(result_t) - return wrap(u), wrap(s), wrap(vt) + return wrap(u), s, wrap(vt) else: - return wrap(s) + return s def cond(x, p=None): """Compute the condition number of a matrix. @@ -1208,7 +1208,7 @@ def lstsq(a, b, rcond=-1): if results['rank'] == n and m > n: resids = sum((transpose(bstar)[n:,:])**2, axis=0).astype(result_t) st = s[:min(n, m)].copy().astype(_realType(result_t)) - return wrap(x), wrap(resids), results['rank'], wrap(st) + return wrap(x), wrap(resids), results['rank'], st def norm(x, ord=None): """Matrix or vector norm. |