R:高效地读入文件并连接它们

import multiprocessing as mp

def read_file(file_path):
    with open(file_path, 'r') as file:
        return file.read()

if __name__ == '__main__':
    pool = mp.Pool(mp.cpu_count())
    file_paths = ['file1.txt', 'file2.txt', 'file3.txt']
    contents = pool.map(read_file, file_paths)
    pool.close()
    pool.join()

def read_large_file(file_path):
    with open(file_path, 'r') as file:
        for line in file:
            yield line

for line in read_large_file('large_file.txt'):
    process(line)

import os

file_paths = sorted([f for f in os.listdir('.') if os.path.isfile(f)])
with open('merged_file.txt', 'w') as outfile:
    for file_path in file_paths:
        with open(file_path, 'r') as infile:
            outfile.write(infile.read())