Fix ring buffer benchmarks

The OrderedRingBuffer class was previously updated
to use datetime aware objects. Thus, the new ring
buffer benchmarks needs to be updated to fix type errors
as arithmetic operation cannot be performed using both
naive and aware datetimes.

Signed-off-by: Daniel Zullo <[email protected]>

Author: daniel-zullo-frequenz

benchmarks/timeseries/ringbuffer_memusage.py

@@ -7,7 +7,7 @@
 
 import argparse
 import tracemalloc
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 
 import numpy as np
 
@@ -71,7 +71,12 @@ def main(ringbuffer_len: int, iterations: int, gap_size: int) -> None:
 
     for i in range(0, ringbuffer_len * iterations, gap_size + 1):
         ringbuffer.update(
-            Sample(datetime.fromtimestamp(200 + i * FIVE_MINUTES.total_seconds()), i)
+            Sample(
+                datetime.fromtimestamp(
+                    200 + i * FIVE_MINUTES.total_seconds(), tz=timezone.utc
+                ),
+                i,
+            )
         )
 
     # Snapshot memory allocations after ringbuffer update

benchmarks/timeseries/serializable_ringbuffer.py

@@ -8,7 +8,7 @@
 import fnmatch
 import os
 import time
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from typing import Any
 
 import numpy as np
@@ -68,7 +68,12 @@ def main() -> None:
 
     for i in range(0, SIZE, 10000):
         ringbuffer.update(
-            Sample(datetime.fromtimestamp(200 + i * FIVE_MINUTES.total_seconds()), i)
+            Sample(
+                datetime.fromtimestamp(
+                    200 + i * FIVE_MINUTES.total_seconds(), tz=timezone.utc
+                ),
+                i,
+            )
         )
 
     print(