diff --git a/计算设备/map-reduce/tf-92.py b/计算设备/map-reduce/tf-92.py new file mode 100644 index 0000000..cbd949d --- /dev/null +++ b/计算设备/map-reduce/tf-92.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +import multiprocessing +from collections import Counter +from cppy.cp_util import * + + +# +# 多进程 +# +def process_chunk(chunk): + # 过滤停用词 + stop_words = get_stopwords() + words = [ w for w in chunk if ( not w in stop_words ) and len(w) >= 3 ] + return Counter(words) + + +def merge_counts(counts_list): + # 合并多个Counter对象 + total_counts = Counter() + for counts in counts_list: + total_counts += counts + return total_counts + + +@timing_decorator +def main(): + # 读取文件内容 + content = re_split(read_file(testfilepath)) + + # 分割文件内容为多个块,每个块由一个进程处理 + chunk_size = 1000 # 可以根据实际情况调整块大小 + chunks = [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)] + + # 使用多进程处理每个块 + pool = multiprocessing.Pool(processes=multiprocessing.cpu_count()) + counts_list = pool.map(process_chunk, chunks) + pool.close() + pool.join() + + # 合并计数 + total_counts = merge_counts(counts_list) + + # 输出最高频的n个词 + print_word_freqs(total_counts.most_common(10)) + + +if __name__ == '__main__': + main() +