BENCH: Moved benchmarks for fast paths (#17970)

ganesh-k13 · ganesh-k13 · commit af51386f142c · 2020-12-16T22:06:57.000+05:30
diff --git a/benchmarks/benchmarks/bench_scalar.py b/benchmarks/benchmarks/bench_scalar.py
@@ -1,3 +1,4 @@
+from random import randint
 from .common import Benchmark, TYPES1
 
 import numpy as np
@@ -31,3 +32,6 @@ def time_abs(self, typename):
         n = self.num
         res = abs(abs(abs(abs(abs(abs(abs(abs(abs(abs(n))))))))))
 
+    def time_compare(self, typename):
+        n = self.num
+        res = [n == randint(-128, 127) for _ in range(10)]
diff --git a/benchmarks/benchmarks/bench_ufunc.py b/benchmarks/benchmarks/bench_ufunc.py
@@ -150,21 +150,6 @@ def time_floor_divide_int(self, dtpye, divisor):
         self.x // divisor
 
 
-class CustomScalarEqual(Benchmark):
-    params = (
-        [np.int8, np.int16, np.int32, np.int64,
-         np.uint8, np.uint16, np.uint32, np.uint64,
-         np.float32, np.float64])
-    param_names = ['dtype']
-
-    def setup(self, dtype):
-        self.scalar_x = dtype(np.random.randint(-128, 127))
-        self.scalar_y = np.random.randint(-128, 127)
-
-    def time_scalar_equality(self, dtype):
-        for i in range(10**6):
-            self.scalar_x == self.scalar_y
-
 class Scalar(Benchmark):
     def setup(self):
         self.x = np.asarray(1.0)
