我正在嘗試將 python 中的幾行代碼轉換為 C#。在 C# 版本中，我對以 heatmap_center 變量開頭的列表/數(shù)組語法感到困惑。在下面的片段中，heatmap_with_borders 變量的用途是什么？這是Python片段：def extract_keypoints(heatmap, all_keypoints, total_keypoint_num):    heatmap[heatmap < 0.1] = 0    heatmap_with_borders = np.pad(heatmap, [(2, 2), (2, 2)], mode='constant')    heatmap_center = heatmap_with_borders[1:heatmap_with_borders.shape[0]-1, 1:heatmap_with_borders.shape[1]-1]    heatmap_left = heatmap_with_borders[1:heatmap_with_borders.shape[0]-1, 2:heatmap_with_borders.shape[1]]    heatmap_right = heatmap_with_borders[1:heatmap_with_borders.shape[0]-1, 0:heatmap_with_borders.shape[1]-2]    heatmap_up = heatmap_with_borders[2:heatmap_with_borders.shape[0], 1:heatmap_with_borders.shape[1]-1]    heatmap_down = heatmap_with_borders[0:heatmap_with_borders.shape[0]-2, 1:heatmap_with_borders.shape[1]-1]    heatmap_peaks = (heatmap_center > heatmap_left) &\                    (heatmap_center > heatmap_right) &\                    (heatmap_center > heatmap_up) &\                    (heatmap_center > heatmap_down)    heatmap_peaks = heatmap_peaks[1:heatmap_center.shape[0]-1, 1:heatmap_center.shape[1]-1]    keypoints = list(zip(np.nonzero(heatmap_peaks)[1], np.nonzero(heatmap_peaks)[0]))  # (w, h)    keypoints = sorted(keypoints, key=itemgetter(0))    suppressed = np.zeros(len(keypoints), np.uint8)    keypoints_with_score_and_id = []    keypoint_num = 0    for i in range(len(keypoints)):        if suppressed[i]:            continue        for j in range(i+1, len(keypoints)):            if math.sqrt((keypoints[i][0] - keypoints[j][0]) ** 2 +                         (keypoints[i][1] - keypoints[j][1]) ** 2) < 6:                suppressed[j] = 1