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authorTravis Oliphant <oliphant@enthought.com>2006-03-01 06:10:17 +0000
committerTravis Oliphant <oliphant@enthought.com>2006-03-01 06:10:17 +0000
commit3f8c2dea68dd5d8b437a02f002836f09644e5c3f (patch)
treeb77d3891d3073ef84d214d11f17f605633e16c3e /numpy/core/numeric.py
parent5f9949015822c662a8a5bd145f2aab08c2b3dfb2 (diff)
downloadnumpy-3f8c2dea68dd5d8b437a02f002836f09644e5c3f.tar.gz
Swap order of fill-function arguments and make ones use fill now.
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 1da30e68f..d4359a540 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -340,11 +340,11 @@ def ones(shape, dtype=int_, fortran=False):
"""ones(shape, dtype=int_) returns an array of the given
dimensions which is initialized to all ones.
"""
- # This appears to be slower...
- #a = empty(shape, dtype, fortran)
- #a.fill(1)
- a = zeros(shape, dtype, fortran)
- a+=1
+ a = empty(shape, dtype, fortran)
+ a.fill(1)
+ # Above is faster now after addition of fast loops.
+ #a = zeros(shape, dtype, fortran)
+ #a+=1
return a
def identity(n,dtype=int_):