numpy: add incomplete test for ufuncs on FROSTT tensors

Author: rohany

numpy/ufuncs.py

@@ -2,7 +2,7 @@
 from scipy.sparse import random, csr_matrix
 import sparse
 import pytest
-from util import TensorCollectionFROSTT
+from util import TensorCollectionFROSTT, PydataTensorShifter
 
 # TODO (rohany): Ask hameer about this. pydata/sparse isn't happy when
 #  given this ufunc to evaluate.
@@ -89,14 +89,13 @@ def bench():
 
 # Run benchmarks against the FROSTT collection.
 FROSTTTensors = TensorCollectionFROSTT()
-@pytest.mark.skip(reason="way too slow")
 @pytest.mark.parametrize("tensor", FROSTTTensors.getTensors(), ids=FROSTTTensors.getTensorNames())
 def bench_pydata_frostt_ufunc_sparse(tacoBench, tensor):
     frTensor = tensor.load()
-    # TODO (rohany): Replace this with a call to the random generator.
-    other = sparse.random(frTensor.shape, density=0.001)
+    shifter = PydataTensorShifter()
+    other = shifter.shiftLastMode(frTensor).astype('int64')
     def bench():
-        print("Beginning ldexp")
+        # TODO (rohany): Expand this test beyond ldexp.
         c = numpy.ldexp(frTensor, other)
         return c
     tacoBench(bench)