4 files changed, 48 insertions, 0 deletions
diff --git a/tests/bench/arrayop-1-list_inplace.py b/tests/bench/arrayop-1-list_inplace.py
new file mode 100644
index 0000000000..0ee1ef2eca
--- /dev/null
+++ b/tests/bench/arrayop-1-list_inplace.py
@@ -0,0 +1,12 @@
+# Array operation
+# Type: list, inplace operation using for. What's good about this
+# method is that it doesn't require any extra memory allocation.
+import bench
+
+def test(num):
+    for i in iter(range(num//10000)):
+        arr = [0] * 1000
+        for i in range(len(arr)):
+            arr[i] += 1
+
+bench.run(test)
diff --git a/tests/bench/arrayop-2-list_map.py b/tests/bench/arrayop-2-list_map.py
new file mode 100644
index 0000000000..9d5095c53a
--- /dev/null
+++ b/tests/bench/arrayop-2-list_map.py
@@ -0,0 +1,12 @@
+# Array operation
+# Type: list, map() call. This method requires allocation of
+# the same amount of memory as original array (to hold result
+# array). On the other hand, input array stays intact.
+import bench
+
+def test(num):
+    for i in iter(range(num//10000)):
+        arr = [0] * 1000
+        arr2 = list(map(lambda x: x + 1, arr))
+
+bench.run(test)
diff --git a/tests/bench/arrayop-3-bytearray_inplace.py b/tests/bench/arrayop-3-bytearray_inplace.py
new file mode 100644
index 0000000000..a6d6280705
--- /dev/null
+++ b/tests/bench/arrayop-3-bytearray_inplace.py
@@ -0,0 +1,12 @@
+# Array operation
+# Type: bytearray, inplace operation using for. What's good about this
+# method is that it doesn't require any extra memory allocation.
+import bench
+
+def test(num):
+    for i in iter(range(num//10000)):
+        arr = bytearray(b"\0" * 1000)
+        for i in range(len(arr)):
+            arr[i] += 1
+
+bench.run(test)
diff --git a/tests/bench/arrayop-4-bytearray_map.py b/tests/bench/arrayop-4-bytearray_map.py
new file mode 100644
index 0000000000..1b92a40961
--- /dev/null
+++ b/tests/bench/arrayop-4-bytearray_map.py
@@ -0,0 +1,12 @@
+# Array operation
+# Type: list, map() call. This method requires allocation of
+# the same amount of memory as original array (to hold result
+# array). On the other hand, input array stays intact.
+import bench
+
+def test(num):
+    for i in iter(range(num//10000)):
+        arr = bytearray(b"\0" * 1000)
+        arr2 = bytearray(map(lambda x: x + 1, arr))
+
+bench.run(test)