diff options
Diffstat (limited to 'numpy/core/_methods.py')
| -rw-r--r-- | numpy/core/_methods.py | 21 |
1 files changed, 13 insertions, 8 deletions
diff --git a/numpy/core/_methods.py b/numpy/core/_methods.py index 0f928676b..33f6d01a8 100644 --- a/numpy/core/_methods.py +++ b/numpy/core/_methods.py @@ -11,6 +11,7 @@ from numpy.core import multiarray as mu from numpy.core import umath as um from numpy.core.numeric import asanyarray from numpy.core import numerictypes as nt +from numpy._globals import _NoValue # save those O(100) nanoseconds! umr_maximum = um.maximum.reduce @@ -22,17 +23,21 @@ umr_all = um.logical_and.reduce # avoid keyword arguments to speed up parsing, saves about 15%-20% for very # small reductions -def _amax(a, axis=None, out=None, keepdims=False): - return umr_maximum(a, axis, None, out, keepdims) +def _amax(a, axis=None, out=None, keepdims=False, + initial=_NoValue): + return umr_maximum(a, axis, None, out, keepdims, initial) -def _amin(a, axis=None, out=None, keepdims=False): - return umr_minimum(a, axis, None, out, keepdims) +def _amin(a, axis=None, out=None, keepdims=False, + initial=_NoValue): + return umr_minimum(a, axis, None, out, keepdims, initial) -def _sum(a, axis=None, dtype=None, out=None, keepdims=False): - return umr_sum(a, axis, dtype, out, keepdims) +def _sum(a, axis=None, dtype=None, out=None, keepdims=False, + initial=_NoValue): + return umr_sum(a, axis, dtype, out, keepdims, initial) -def _prod(a, axis=None, dtype=None, out=None, keepdims=False): - return umr_prod(a, axis, dtype, out, keepdims) +def _prod(a, axis=None, dtype=None, out=None, keepdims=False, + initial=_NoValue): + return umr_prod(a, axis, dtype, out, keepdims, initial) def _any(a, axis=None, dtype=None, out=None, keepdims=False): return umr_any(a, axis, dtype, out, keepdims) |