BENCH: use initialized memory for count_nonzero benchmark

For the bool case uninitialized memory can randomly go into the slow
path handling values different than 0 or 1.

1 files changed, 2 insertions, 2 deletions

diff --git a/benchmarks/benchmarks/bench_core.py b/benchmarks/benchmarks/bench_core.py
index a4e3152ea..bab0ff4e6 100644
--- a/benchmarks/benchmarks/bench_core.py
+++ b/benchmarks/benchmarks/bench_core.py
@@ -137,8 +137,8 @@ class CountNonzero(Benchmark):
     ]
 
     def setup(self, numaxes, size, dtype):
-        self.x = np.empty(shape=(
-            numaxes, size), dtype=dtype)
+        self.x = np.arange(numaxes * size).reshape(numaxes, size)
+        self.x = (self.x % 3).astype(dtype)
 
     def time_count_nonzero(self, numaxes, size, dtype):
         np.count_nonzero(self.x)