代码搜索:methods

找到约 10,000 项符合「methods」的源代码

代码结果 10,000
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rb tkmngfocus.rb

# # tkmngfocus.rb : methods for Tcl/Tk standard library 'focus.tcl' # 1998/07/16 by Hidetoshi Nagai # require 'tk' module TkManageFocus extend Tk d
www.eeworm.com/read/109233/6175941

rb tkpalette.rb

# # tkpalette.rb : methods for Tcl/Tk standard library 'palette.tcl' # 1998/06/21 by Hidetoshi Nagai # require 'tk' module TkPalette include Tk exte
www.eeworm.com/read/101196/6237688

java xml.java

package org.kxml; import java.io.*; import java.util.*; /** A class containing several static xml methods, mainly for escaping special characters like angle brakets and quotes. This class c
www.eeworm.com/read/101042/6258766

readme

TODO ---- Find a way where name-translation can be done in a way that is sensitive to particular methods (ie. generic code could still do different path/filename substitutions on win32 to what it doe
www.eeworm.com/read/100046/6274844

h httelnet.h

/* W3C Sample Code Library libwww TELNET, RLOGIN ETC. !Telnet and similar access methods! */ /* ** (c) COPYRIGHT MIT 1995. ** Please first read the full copyright statement in the file COP
www.eeworm.com/read/330223/6302406

txt moo.txt

// Prints MOOOO on the screen using two separate methods public class Moo { public static void bigM() { System.out.println("M M"); System.out.println("MM MM"); System.ou
www.eeworm.com/read/330223/6302459

txt moo.txt

// Prints MOOOO on the screen using two separate methods public class Moo { public static void bigM() { System.out.println("M M"); System.out.println("MM MM"); System.ou
www.eeworm.com/read/493294/6399874

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
www.eeworm.com/read/492937/6414423

m gui_create_attractor_md.m

function gui_create_attractor_md % Create attractor using methods of delay % last modified 13.09.07 global TS ATTRACTOR GSD_GLOBALS str=TS.name; [selection,ok] = listdlg('PromptString','Select
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m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a