Resolved conflict

pytorch/run.py

@@ -57,6 +57,17 @@ def run_program(program: list[str]) -> tuple[dict, str]:
         print(process.stderr)
     return (json.loads(process.stdout), process.stderr)
 
+def trapezoidal_rule(power: list[float], time_s: float) -> float:
+    from math import ceil
+    from itertools import pairwise
+    result = 0.0
+    relevant_power = power[-int(time_s):]
+    relevant_pairs = [pair for pair in zip(relevant_power, relevant_power[1:])]
+    for pair in relevant_pairs:
+        result += 0.5 * (pair[0] + pair[1])
+    result += (time_s % 1) * (power[-1])
+    return result
+
 result = dict()
 result[Stat.CPU.name] = args.cpu.name
 result[Stat.ITERATIONS.name] = args.iterations
@@ -90,11 +101,13 @@ if args.power:
             print(result)
 
         result[Stat.POWER.name] = [float(x) for x in power_process.communicate()[0].strip().split('\n')]
-        # Riemann Sum across the last (s) power recordings.
-        from math import ceil
-        result[Stat.JOULES.name] = (
-                sum(result[Stat.POWER.name][-ceil(result[Stat.TIME_S_OVERALL.name]):-1])
-                + (result[Stat.POWER.name][-1] * (result[Stat.TIME_S_OVERALL.name] % 1)))
+        # Trapezoidal Rule across the last (s) power recordings.
+        #result[Stat.JOULES.name] = (
+        #        sum(result[Stat.POWER.name][-ceil(result[Stat.TIME_S.name]):])
+        #        + (result[Stat.POWER.name][-1] * (result[Stat.TIME_S.name] % 1)))
+        result[Stat.JOULES.name] = trapezoidal_rule(
+                result[Stat.POWER.name],
+                result[Stat.TIME_S.name])
 
     elif args.cpu == Cpu.EPYC_7313P:
         power_process = subprocess.Popen(