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procedures Note : 1 : Multi
程序说明: 1:多用户系统 2:商品分类支持多级; 3:支持IPAY 在线支付系统和银行转账; 4:功能完整,可以收藏,EMAIL推荐给好友,在线充值,银行转账 具体功能见演示-procedures Note : 1 : Multi-User System 2 : Commodity Classification support multi-level; 3 : support IPAY online payment systems and bank transfers; 4 : functional integrity, collections, EMAIL recommended to friends, online prepaid, bank transfer specific functions to see demo
- 2022-03-29 11:57:22下载
- 积分:1
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能将ELF&AFX 文件转换成二进制文件的解析源码
能将ELF&AFX 文件转换成二进制文件的解析源码-ELFAFX can convert documents into the binary files of source code analysis
- 2022-02-03 03:14:12下载
- 积分:1
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Arm architecture reference file
Arm architecture reference file
- 2022-01-25 15:20:45下载
- 积分:1
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以前汉化PS游戏〈〈封神演义〉〉的时候写的工具,作用是查看其自带的字模文件font.grp里的数据,还可以修改其中的数据。 附带用VB写的源代码。游戏狂热的不妨...
以前汉化PS游戏〈〈封神演义〉〉的时候写的工具,作用是查看其自带的字模文件font.grp里的数据,还可以修改其中的数据。 附带用VB写的源代码。游戏狂热的不妨耍一下,-sinicized PS games before the time of writing tools, is to look into their own documents to the Fonts font.grp The data can also modify the data. VB fringe write the source code. The game might play fanatical about, huh
- 2022-05-19 19:06:13下载
- 积分:1
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可以将VB中的内部结构分析出来,是一个不错的程序哦
可以将VB中的内部结构分析出来,是一个不错的程序哦-can VB analysis of the internal structure, and is a good procedure oh
- 2022-05-29 12:46:00下载
- 积分:1
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读取文件校验和 读取文件校验和 读取文件校验和
读取文件校验和 读取文件校验和 读取文件校验和-Read the paper and read the file checksum checksum checksum read from the file read the file checksum
- 2022-02-03 19:04:04下载
- 积分:1
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分析PE可执行文件,可以查看任意exe文件的DLL连接使用…
分析PE可执行文件,并可查看任意EXE文件所使用的DLL文件及包函的
涵数名或序数号,初学者程序打包时可以查看需要的DLL文件-analysis PE executable files and can check arbitrary EXE file used by the DLL files and 9.1.2 of the culvert, or several ordinal number, beginners process can be wrapped up View of DLL files
- 2022-06-11 20:50:29下载
- 积分:1
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Leitura e Escrita em arquivos com C#
Um exemplo de leitura e gravação de arquivo em C#。
Projeto 段 programadores iniciantes。
- 2022-06-14 23:16:32下载
- 积分:1
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原始数据划分为train.dat和test.dat
应用背景开始是做movielense的数据,可以把原始数据任意划分为train.dat和test.dat,主要是为了做验证实验。非常简单明了,适合初学者看看,如果不喜欢,请轻喷。关键技术# -*- coding: cp936 -*-
from sklearn import cross_validation
c = []
filename = r"Raw.data" #原始数据
out_train = open(r"train.txt","w") #训练集
out_test = open(r"test.txt","w") #测试集
for line in open(filename):
items = line.strip().split(",")
c.append(items)
c_train,c_test = cross_validation.train_test_split(c,test_size=0.1)#size =你需要的比例
for i in c_train:
out_train.write(",".join(i)+"
")
for i in c_test:
out_test.write(",".join(i)+"
")
- 2022-01-25 21:21:56下载
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this upload sample
this upload sample-this upload sample................
- 2022-02-20 09:36:49下载
- 积分:1