如果不使用numpy，可以使用普通的Python列表来存储玩家数据，并对代码进行一些其他优化，如减少循环次数和避免不必要的操作。以下是修改后的代码示例：

import sys
import multiprocessing as mp

def partition(arr, low, high, k):
    pivot = arr[high][k]
    i = low - 1
    for j in range(low, high):
        if arr[j][k] <= pivot:
            i += 1
            arr[i], arr[j] = arr[j], arr[i]
    arr[i + 1], arr[high] = arr[high], arr[i + 1]
    return i + 1

def quick_sort(arr, low, high, k):
    if low < high:
        pivot_index = partition(arr, low, high, k)
        quick_sort(arr, low, pivot_index - 1, k)
        quick_sort(arr, pivot_index + 1, high, k)

def determine_final_hp(data):
    playerU = data[0]
    playerD = data[1]
    for i in range(len(playerD)):
        for j in range(len(playerU)):
            k = len(playerU) - j - 1
            playeri = playerD[i]
            playerj = playerU[k]
            if playeri[0] >= playerj[0] and playeri[1] > 0 and playerj[1] > 0:
                if playeri[1] < playerj[1]:
                    playeri[1] = 0
                    playerj[1] -= 1
                elif playeri[1] > playerj[1]:
                    playerj[1] = 0
                    playeri[1] -= 1
                else:
                    playeri[1] = 0
                    playerj[1] = 0
    return data

def process_data(floor_hp_direction):
    floor, hp, direction = floor_hp_direction[0], floor_hp_direction[1], floor_hp_direction[2]
    if direction == ‘U’:
        return [int(floor), int(hp), 0] # 0表示上半场
    else:
        return [int(floor), int(hp), 1] # 1表示下半场

n = int(sys.stdin.readline().strip())
players = []
for _ in range(n):
    floor_hp_direction = sys.stdin.readline().strip().split()
    players.append(process_data(floor_hp_direction))

playersU = [player for player in players if player[2] == 0]
playersD = [player for player in players if player[2] == 1]

processes = []
pool = mp.Pool(processes=mp.cpu_count())
playersU, playersD = pool.map(determine_final_hp, [(playersU, playersD)])[0]
pool.close()

quick_sort(playersU, 0, len(playersU) - 1, 0)
quick_sort(playersD, 0, len(playersD) - 1, 0)

players = playersU + playersD
quick_sort(players, 0, len(players) - 1, 2)

for i in range(len(players)):
    player = players[i]
    if player[1] != 0:
        print(player[1])


这种修改方式避免了使用numpy，使用普通的Python列表来存储玩家数据，同时进行了一些优化来减少循环次数和避免不必要的操作。请注意，对于百万级数据来说，使用纯Python的列表可能会导致一些性能问题。如果需要处理更大规模的数据，可以考虑使用其他的高性能数据结构或者将数据存储到磁盘上并使用分布式计算框架来处理。
Traceback (most recent call last):
File “<string>”, line 1, in <module>
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py”, line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py”, line 125, in _main
prepare(preparation_data)
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py”, line 236, in prepare
_fixup_main_from_path(data[‘init_main_from_path’])
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py”, line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\runpy.py”, line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\runpy.py”, line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File “C:\Users\HKY\AppData\Local\Programs\Python\Python39\lib\runpy.py”, line 87, in _run_code
exec(code, run_globals)
File “C:\Users\HKY\AppData\Roaming\JetBrains\PyCharmCE2022.2\scratches\scratch_5.py”, line 47, in <module>
n = int(sys.stdin.readline().strip())
ValueError: invalid literal for int() with base 10: ‘’