From 028c7ddb076b73ab8a0200b067f9112745344fb6 Mon Sep 17 00:00:00 2001
From: pbr4nzfkh <18879212807@163.com>
Date: Sun, 17 Mar 2024 10:20:49 +0800
Subject: [PATCH] =?UTF-8?q?Delete=20'=E8=AE=A1=E7=AE=97=E8=AE=BE=E5=A4=87/?=
 =?UTF-8?q?map-reduce/tf-31.py'?=
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---
 计算设备/map-reduce/tf-31.py | 27 ---------------------------
 1 file changed, 27 deletions(-)
 delete mode 100644 计算设备/map-reduce/tf-31.py

diff --git a/计算设备/map-reduce/tf-31.py b/计算设备/map-reduce/tf-31.py
deleted file mode 100644
index 0efdcd5..0000000
--- a/计算设备/map-reduce/tf-31.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from functools import reduce
-from cppy.cp_util import *
-from collections import Counter
-
-def partition(data_str, nlines):
-    lines = data_str.split('\n')
-    for i in range(0, len(lines), nlines):
-        yield '\n'.join(lines[i:i+nlines])
-
-def split_words(data_str):
-    word_list =  extract_str_words(data_str)   
-    return Counter( word_list )
-
-def count_words(pairs_list_1, pairs_list_2):
-    return pairs_list_1 + pairs_list_2   
-
-
-if __name__ == '__main__':        
-    data = read_file(testfilepath)
-    
-    # 使用 map 方法和 split_words 函数处理每个分区
-    splits = map(split_words, partition(data, 200))  
-    splits_list = list(splits)
-    
-    # 使用 reduce 和 count_words 函数统计所有分区的词频
-    word_freqs = sort_dict(reduce(count_words, splits_list, Counter()) )    
-    print_word_freqs(word_freqs)
\ No newline at end of file