BUG: Work-around a numpy regression

numpy 1.7.0 erroneously raises IndexError instead of ValueError from ndarray.item() when the array is not of length 1. This can be seen as a failure of computation.tests.test_eval.TestScope.test_global_scope for the cases that engine='numexpr'. Absorb the splatter from this regression by explicitly catching the erroneous IndexError.

Author: neirbowj

pandas/computation/align.py

@@ -249,6 +249,9 @@ def _reconstruct_object(typ, obj, axes, dtype):
 
  try:
  ret = ret_value.item()
- except ValueError:
+ except (ValueError, IndexError):
+ # XXX: we catch IndexError to absorb a
+ # regression in numpy 1.7.0
+ # fixed by numpy/numpy@04b89c63
  ret = ret_value
  return ret