代码搜索：BATCH
找到约 6,125 项符合「BATCH」的源代码
代码结果 6,125
www.eeworm.com/read/124399/6049894
exp dfnxcmd.exp
TRUE
CLIPS> (batch "dfnxcmd.bat")
TRUE
CLIPS> (deffunction bogus (?a ?b $?c)
(printout t "Random action" crlf))
CLIPS> (deffunction bogus2 ())
CLIPS> (ppdeffunction bogus)
(deffunction MAIN::bogus
www.eeworm.com/read/124399/6049942
exp drtest04.exp
TRUE
CLIPS> (batch "drtest04.bat")
TRUE
CLIPS> (clear) ; DR0301
CLIPS> (assert (clock =(create$ a))) ; DR0301
CLIPS> (clear) ; DR0301
www.eeworm.com/read/124399/6049960
exp modlmisc.exp
TRUE
CLIPS> (batch "modlmisc.bat")
TRUE
CLIPS> (clear) ;; import/export coordination
CLIPS> (defmodule A)
CLIPS> (deftemplate A::foo (slot x))
CLIPS> (defmodule B (import A ?ALL))
[MODULPSR1] Module
www.eeworm.com/read/124399/6049979
exp misclns4.exp
TRUE
CLIPS> (batch "misclns4.bat")
TRUE
CLIPS> (clear) ;; Case 1
CLIPS> (defmodule A (export ?ALL))
CLIPS> (deftemplate A::foo)
CLIPS> (defmodule MAIN (import A ?ALL) (export ?ALL))
CLIPS> (defmodule
www.eeworm.com/read/104217/6206146
makefile
#OMCR-2.0 CMGETDB
OBJDIR = $(OMCSRC)/utility/cm/cmgetdb/object
SRCDIR = $(OMCSRC)/utility/cm/cmgetdb/source
PROG=cmgetdb
PROGNAME=$(OBJDIR)/../batch/$(PROG)
TARGET=all clean install
all: $(PROGN
www.eeworm.com/read/104135/6207808
pas inv_batchlist_c.pas
unit Inv_BatchList_C;
Interface
uses
Windows, Messages, SysUtils, Classes, Graphics, Controls, Forms, Dialogs,
Base_Condition, StdCtrls, Mask, Db, AdODB, ExtEdit;
Type
TFrm_Inv_Batch
www.eeworm.com/read/359185/6352584
m rbf_network.m
function [D, mu, Wo] = RBF_Network(train_features, train_targets, Nh, region)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% features- Train features
% t
www.eeworm.com/read/494146/6379152
bat build.bat
@echo off
rem
rem This batch file builds and preverifies the code for the demos.
rem it then packages them in a JAR file appropriately.
rem
if "%OS%" == "Windows_NT" setlocal
set DEMO=SMSDemo
s
www.eeworm.com/read/493206/6398594
m rbf_network.m
function [D, mu, Wo] = RBF_Network(train_features, train_targets, Nh, region)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% features- Train features
% t
www.eeworm.com/read/481537/6642827
c sched_fair.c
/*
* Completely Fair Scheduling (CFS) Class (SCHED_NORMAL/SCHED_BATCH)
*
* Copyright (C) 2007 Red Hat, Inc., Ingo Molnar
*
* Interactivity improvements by Mike Galbraith
*