TST: Add basic tests for np.array
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
Merge branch 'enh_np_array0.1' of https://github.com/m-d-w/numpy into enh_np_array0.1
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
Merge branch 'enh_np_array0.1' of https://github.com/m-d-w/numpy into enh_np_array0.1
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
Merge branch 'enh_np_array0.1' of https://github.com/m-d-w/numpy into enh_np_array0.1
ENH: Optimize array creation by avoiding errors
ENH: Optimize array creation by avoiding errors
Merge branch 'enh_np_array0.1' of https://github.com/m-d-w/numpy into enh_np_array0.1
BUG: Decref subspace when subspace is 0-d in fancy indexing

Not decrefing it causes a major memory leak. This adapts the
automated tests to cover this case as well and adds refcounting
to it. Replaces some 'skip' with 0s, but I believe the skip
tests are not that important. Added 1-d special case tests
using the same indices as the multi-dim test though.

Thanks to Julian Taylor for noting the bug.
ENH: Vectorize float min/max operation with sse2

Improves performance by ~1.5/3.0 for float/double.