Take out comment and use product

Author: hexgnu

pandas/_libs/lib.pyx

@@ -67,7 +67,6 @@ def memory_usage_of_objects(ndarray[object, ndim=1] arr):
     cdef int64_t s = 0
 
     n = len(arr)
-    # Hrm why was this 0 <= i < n
     for i from 0 < i < n:
         s += arr[i].__sizeof__()
     return s

pandas/tests/sparse/series/test_series.py

@@ -23,6 +23,7 @@
 from pandas.core.sparse.api import SparseSeries
 from pandas.tests.series.test_api import SharedWithSparse
 
+from itertools import product
 
 def _test_data1():
     # nan-based
@@ -974,8 +975,8 @@ def test_combine_first(self):
     @pytest.mark.parametrize('deep,fill_values', [([True, False],
                                                    [0, 1, np.nan, None])])
     def test_memory_usage_deep(self, deep, fill_values):
-        for fv in fill_values:
-            sparse_series = SparseSeries(fill_values, fill_value=fv)
+        for deep, fill_value in product(deep, fill_values):
+            sparse_series = SparseSeries(fill_values, fill_value=fill_value)
             dense_series = Series(fill_values)
             sparse_usage = sparse_series.memory_usage(deep=deep)
             dense_usage = dense_series.memory_usage(deep=deep)