Add an as_dtype() function and use it in numba_types_to_numpy_letter_types()
WIP - claim datetime64 and timedelta64 are support - they fail at lowering
Add cautionary comments
Merge branch 'master' of github.com:numba/numba into npdatetime_array
Merge branch 'master' of github.com:numba/numba into npdatetime_array

Conflicts:
	numba/tests/test_numpy_support.py
Merge branch 'npymath-complex' of github.com:numba/numba into npdatetime_array

Conflicts:
	numba/numpy_support.py
Add more definitions for additions, and add a missing "raise" statement
Add definitions for subtraction, and raise NotImplementedError on the wrong output unit
Merge branch 'master' of github.com:numba/numba into npdatetime_array

Conflicts:
	numba/numpy_support.py
	numba/targets/npyimpl.py
	numba/targets/ufunc_db.py
Enhance ufunc tests, add implementations of npdatetime ufuncs
Merge branch 'master' of github.com:numba/numba into npdatetime_array
Use less trivial values
Augment ufunc tests again, and fix np.sign() with NaNs
Add tests for numpy_support.ufunc_find_matching_loop
Add tests for datetime/timedelta ufuncs with heterogenous units
Merge branch 'master' of github.com:numba/numba into npdatetime_array
Work around a Python bug in the warnings module to fix sporadic failures on test_ufuncs (witnessed with a 32-bit setup)
Remove redundant import
Improve supported_ufunc_loop() docstring
Merge pull request #714 from pitrou/npdatetime_array

Array support for np.datetime64 and np.timedelta64