--- pybloom_live/benchmarks.py.orig	2018-07-22 09:08:15 UTC
+++ pybloom_live/benchmarks.py
@@ -2,9 +2,9 @@
 #
 """Test performance of BloomFilter at a set capacity and error rate."""
 import sys
-from pybloom import BloomFilter
+from .pybloom import BloomFilter
 import bitarray, math, time
-from utils import range_fn
+from .utils import range_fn
 
 
 def main(capacity=100000, request_error_rate=0.1):
@@ -14,18 +14,18 @@ def main(capacity=100000, request_error_rate=0.1):
     for i in range_fn(0, f.capacity):
         f.add(i, skip_check=True)
     end = time.time()
-    print("{:5.3f} seconds to add to capacity, {:10.2f} entries/second".format(
-            end - start, f.capacity / (end - start)))
+    print(("{:5.3f} seconds to add to capacity, {:10.2f} entries/second".format(
+            end - start, f.capacity / (end - start))))
     oneBits = f.bitarray.count(True)
     zeroBits = f.bitarray.count(False)
-    print "Number of 1 bits:", oneBits
-    print "Number of 0 bits:", zeroBits
-    print("Number of Filter Bits:", f.num_bits)
-    print("Number of slices:", f.num_slices)
-    print("Bits per slice:", f.bits_per_slice)
+    print("Number of 1 bits:", oneBits)
+    print("Number of 0 bits:", zeroBits)
+    print(("Number of Filter Bits:", f.num_bits))
+    print(("Number of slices:", f.num_slices))
+    print(("Bits per slice:", f.bits_per_slice))
     print("------")
-    print("Fraction of 1 bits at capacity: {:5.3f}".format(
-            oneBits / float(f.num_bits)))
+    print(("Fraction of 1 bits at capacity: {:5.3f}".format(
+            oneBits / float(f.num_bits))))
     # Look for false positives and measure the actual fp rate
     trials = f.capacity
     fp = 0
@@ -36,14 +36,14 @@ def main(capacity=100000, request_error_rate=0.1):
     end = time.time()
     print(("{:5.3f} seconds to check false positives, "
            "{:10.2f} checks/second".format(end - start, trials / (end - start))))
-    print("Requested FP rate: {:2.4f}".format(request_error_rate))
-    print("Experimental false positive rate: {:2.4f}".format(fp / float(trials)))
+    print(("Requested FP rate: {:2.4f}".format(request_error_rate)))
+    print(("Experimental false positive rate: {:2.4f}".format(fp / float(trials))))
     # Compute theoretical fp max (Goel/Gupta)
     k = f.num_slices
     m = f.num_bits
     n = f.capacity
     fp_theory = math.pow((1 - math.exp(-k * (n + 0.5) / (m - 1))), k)
-    print("Projected FP rate (Goel/Gupta): {:2.6f}".format(fp_theory))
+    print(("Projected FP rate (Goel/Gupta): {:2.6f}".format(fp_theory)))
 
 if __name__ == '__main__':
     main()