From 43bd257672589326d875c273e3ff67bb565fc731 Mon Sep 17 00:00:00 2001 From: Siarhei Fedartsou Date: Sun, 16 Jun 2024 14:00:46 +0200 Subject: [PATCH] wip --- scripts/ci/e2e_benchmark.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/scripts/ci/e2e_benchmark.py b/scripts/ci/e2e_benchmark.py index 1995aff57..d5169b658 100644 --- a/scripts/ci/e2e_benchmark.py +++ b/scripts/ci/e2e_benchmark.py @@ -68,7 +68,7 @@ class BenchmarkRunner: end_coord = f"{end[1]:.6f},{end[0]:.6f}" return f"{host}/route/v1/driving/{start_coord};{end_coord}?overview=full&steps=true" elif benchmark_name == 'table': - num_coords = random.randint(3, 25) + num_coords = random.randint(3, 12) selected_coords = random.sample(self.coordinates, num_coords) coords_str = ";".join([f"{coord[1]:.6f},{coord[0]:.6f}" for coord in selected_coords]) return f"{host}/table/v1/driving/{coords_str}" @@ -134,7 +134,7 @@ def main(): total_time, total_ci, total_best = calculate_confidence_interval(np.sum(all_times, axis=1)) print('Ops: ', float(all_times.shape[1]) / np.sum(all_times * 1000, axis=1)) - + ops_per_sec, ops_per_sec_ci, ops_per_sec_best = calculate_confidence_interval(float(all_times.shape[1]) / np.sum(all_times * 1000, axis=1)) min_time, min_ci, _ = calculate_confidence_interval(np.min(all_times, axis=1)) mean_time, mean_ci, _ = calculate_confidence_interval(np.mean(all_times, axis=1))