Fix failing test with indexing

Author: hexgnu

pandas/_libs/lib.pyx

@@ -60,7 +60,7 @@ def memory_usage_of_objects(ndarray[object, ndim=1] arr):
     cdef int64_t s = 0
 
     n = len(arr)
-    for i from 0 < i < n:
+    for i in range(n):
         s += arr[i].__sizeof__()
     return s
 

pandas/tests/sparse/series/test_series.py

@@ -25,6 +25,7 @@
 
 from itertools import product
 
+
 def _test_data1():
     # nan-based
     arr = np.arange(20, dtype=float)