From 05a096ddc56c39f3c4c7ab38e15c8bf3b9713a7c Mon Sep 17 00:00:00 2001
From: many <nyhuis@tfd.uni-hannover.de>
Date: Thu, 19 Sep 2024 16:11:05 +0200
Subject: [PATCH] integer fix
---
ntrfc/turbo/profile_tele_extraction.py | 24 ++++++++++++------------
1 file changed, 12 insertions(+), 12 deletions(-)
diff --git a/ntrfc/turbo/profile_tele_extraction.py b/ntrfc/turbo/profile_tele_extraction.py
index f9a48f51..ddc22ebb 100644
--- a/ntrfc/turbo/profile_tele_extraction.py
+++ b/ntrfc/turbo/profile_tele_extraction.py
@@ -229,25 +229,25 @@ def extract_vk_hk(sortedPoly: pv.PolyData) -> (int, int):
error_data=np.array(error_data)
# get best 10% of combinations
- arr = np.argsort(error_data[:, 2])[:int(len(error_data) * 0.1)]
- arr.sort()
- arr_indices = error_data[arr][:, :2].astype(int)
- front_unique = np.unique(arr_indices[:, 0])
- back_unique = np.unique(arr_indices[:, 1])
+ percentile_value = np.percentile(error_data[:, 2], 10)
+ lowest10 = error_data[np.where(error_data[:, 2] < percentile_value)]
+
+ front_unique = np.unique(lowest10[:, 0])
+ back_unique = np.unique(lowest10[:, 1])
front_refined = []
back_refined = []
for i in front_unique:
- front_refined.append(i)
+ front_refined.append(int(i))
for j in range(stepsize):
- front_refined.append((i + j)%sortedPoly.number_of_points)
- front_refined.append((i - j)%sortedPoly.number_of_points)
+ front_refined.append(int((i + j)%sortedPoly.number_of_points))
+ front_refined.append(int((i - j)%sortedPoly.number_of_points))
for i in back_unique:
- back_refined.append(i)
+ back_refined.append(int(i))
for j in range(stepsize):
- back_refined.append((i + j)%sortedPoly.number_of_points)
- back_refined.append((i - j)%sortedPoly.number_of_points)
+ back_refined.append(int((i + j)%sortedPoly.number_of_points))
+ back_refined.append(int((i - j)%sortedPoly.number_of_points))
front_refined = np.unique(np.array(front_refined))
back_refined = np.unique(np.array(back_refined))
@@ -267,7 +267,7 @@ def extract_vk_hk(sortedPoly: pv.PolyData) -> (int, int):
best_combination_fine = specific_combinations_fine[np.argmin(error_data_fine, axis=0)[2]]
- le_ind_best, te_ind_best = best_combination_fine[0], best_combination_fine[1]
+ le_ind_best, te_ind_best = int(best_combination_fine[0]), int(best_combination_fine[1])
return le_ind_best, te_ind_best
--
GitLab