Switching to np.argmin

Author: Hckjs

src/ctapipe/image/statistics.py

@@ -6,7 +6,6 @@
 from ..containers import ImageStatisticsContainer
 
 __all__ = [
-    "argmin",
     "arg_n_largest",
     "arg_n_largest_gu",
     "n_largest",
@@ -140,15 +139,3 @@ def arg_n_largest(n, array):
     dummy = np.zeros(n, dtype=np.int64)
     idx = arg_n_largest_gu(dummy, array)
     return idx
-
-
-@njit
-def argmin(array):
-    """Returns the index of the minimum value of an array"""
-    min_index = 0
-    min_value = array[0]
-    for i in range(1, len(array)):
-        if array[i] < min_value:
-            min_value = array[i]
-            min_index = i
-    return min_index

src/ctapipe/reco/telescope_event_handling.py

@@ -7,8 +7,6 @@
 import numpy as np
 from numba import njit, uint64
 
-from ctapipe.image.statistics import argmin
-
 __all__ = [
     "get_subarray_index",
     "weighted_mean_std_ufunc",
@@ -261,7 +259,7 @@ def calc_combs_min_distances_event(
         distances = np.hypot(lon_diffs, lat_diffs)
 
         # Weighted mean for minimum distances
-        argmin_distance = argmin(distances)
+        argmin_distance = np.argmin(distances)
         lon_vals = [
             fov_lon_values[tel_1, sign_combs[argmin_distance, 0]],
             fov_lon_values[tel_2, sign_combs[argmin_distance, 1]],