diff --git a/计算设备/map-reduce/tf_91.py b/计算设备/map-reduce/tf_91.py
deleted file mode 100644
index df5add8..0000000
--- a/计算设备/map-reduce/tf_91.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import threading
-from collections import Counter
-from cppy.cp_util import *
-
-#
-# 多线程
-# 
-def process_chunk(start, end, text, result_index, results):   
-    # 切词并过滤停用词            
-    words = extract_str_words( text[start:end] )     
-    results[result_index] = 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
-    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=process_chunk, 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()
-
-    # 合并计数  
-    total_counts = merge_counts(results)  
-
-    # 输出最高频的n个词
-    print_word_freqs( total_counts.most_common(10) )     
-
-    
-if __name__ == '__main__':
-    main()