代码搜索：Mapping
找到约 10,000 项符合「Mapping」的源代码
代码结果 10,000
www.eeworm.com/read/208017/15255812
txt bochsrc.txt
###############################################################
# bochsrc.txt file for YANGIX disk image.
###############################################################
# how much memory the emu
www.eeworm.com/read/169327/5424430
java value.java
//$Id: Value.java,v 1.13.2.9 2003/11/09 01:46:25 oneovthafew Exp $
package net.sf.hibernate.mapping;
import java.util.Iterator;
import net.sf.hibernate.MappingException;
import net.sf.hibernate.engi
www.eeworm.com/read/172530/5385326
entries
/JobHostWS-mapping.xml/1.1/Mon Jul 18 02:06:02 2005//
/ResourceManagerWS-mapping.xml/1.1/Mon Jul 18 02:06:02 2005//
/SchedulerWS-mapping.xml/1.1/Mon Jul 18 02:06:02 2005//
D
www.eeworm.com/read/427567/8936057
ppt 第六讲 or mapping与hibernate.ppt
www.eeworm.com/read/275831/10793729
rb 10 - using object relational mapping with activerecord.rb
use cookbook;
DROP TABLE IF EXISTS blog_posts;
CREATE TABLE blog_posts (
id INT(11) NOT NULL AUTO_INCREMENT,
title VARCHAR(200),
content TEXT,
PRIMARY KEY (id)
) ENGINE=InnoDB;
DROP TABLE IF
www.eeworm.com/read/275831/10793743
rb 11 - using object relational mapping with og.rb
require 'cookbook_dbconnect'
require 'og'
class BlogPost
property :title, :content, String
end
class Comment
property :author, :content, String
belongs_to :blog_post, BlogPost
end
# Now that
www.eeworm.com/read/196783/8061027
jar org.eclipse.emf.mapping.ui_2.1.0.jar
www.eeworm.com/read/241981/13101309
txt unicode_gb2312_mapping_gb2312.txt
0x3000 0xA1A1
、 0x3001 0xA1A2
。 0x3002 0xA1A3
· 0x00B7 0xA1A4
ˉ 0x02C9 0xA1A5
ˇ 0x02C7 0xA1A6
¨ 0x00A8 0xA1A7
〃 0x3003 0xA1A8
々 0x3005 0xA1A9
— 0x2014 0xA1AA
～ 0xFF5E 0xA1AB
‖ 0x2016 0xA1
www.eeworm.com/read/386050/8768076
m mappings.m
%MAPPINGS Info on the mapping class construction of PRTools
%
% This is not a command, just an information file.
%
% Mappings in PRTools are in the MATLAB language defined as objects of the
% class
www.eeworm.com/read/386050/8769051
m klms.m
%KLMS Karhunen Loeve Mapping, followed by scaling
%
% [W,FRAC] = KLMS(A,N)
% [W,N] = KLMS(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fraction o