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import threading
from collections import Counter
from cppy.cp_util import *
stop_words = get_stopwords()
# 定义一个函数来计算每个线程的词频
def count_words(start, end, text, result_index, results):
words = re_split( text[start:end] )
words = [w for w in words if not w in stop_words]
result = Counter(words)
results[result_index] = result
if __name__ == '__main__':
# 读取文件内容
text = read_file(testfilepath)
# 确定线程数量
num_threads = 4
text_length = len(text)
chunk_size = text_length // num_threads
# 存储每个线程的结果
results = [None] * num_threads
threads = []
# 创建并启动线程
for i in range(num_threads):
start = i * chunk_size
# 确保最后一个线程能够读取文件的末尾
end = text_length if i == num_threads - 1 else (i + 1) * chunk_size
t = threading.Thread(target=count_words, args=(start, end, text, i, results))
threads.append(t)
t.start()
# 等待所有线程完成
for t in threads: t.join()
# 合并结果
total_count = Counter()
for result in results: total_count += result
# 打印词频最高的10个单词
print_word_freqs( total_count.most_common(10) )