代码搜索：Testing
找到约 10,000 项符合「Testing」的源代码
代码结果 10,000
www.eeworm.com/read/279052/10474202
s paritytest.s
# paritytest.s - An example of testing the parity flag
.section .text
.globl _start
_start:
movl $1, %eax
movl $4, %ebx
subl $3, %ebx
jp overhere
int $0x80
overhere:
movl $100, %ebx
www.eeworm.com/read/279051/10474590
s paritytest.s
# paritytest.s - An example of testing the parity flag
.section .text
.globl _start
_start:
movl $1, %eax
movl $4, %ebx
subl $3, %ebx
jp overhere
int $0x80
overhere:
movl $100, %ebx
www.eeworm.com/read/278507/10531943
1 script.1
kalae % ./udpcli01 198.82.204.99 echo
hello, world
ICMP error: type = 11, code = 0
testing
ICMP error: type = 11, code = 0
kalae % ./udpcli01 gemini.tuc.noao.edu echo
hi there
ICMP error: type = 3, c
www.eeworm.com/read/423501/10556647
acknowledgments
ROOTKIT HUNTER ACKNOWLEDGMENTS
==============================
Michael Boelen For providing and opening up RKH for
active development
John Horne For opening up a tru
www.eeworm.com/read/159921/10587730
m~ knnclass.m~
function [class] = knnclass(tst,X,I,K)
% [class] = knnclass(tst,X,I,K)
%
% KNNCLASS is an implementation of K-Nearest Neighbours
% classifier. The Euclidean distance is used.
%
% Input:
% tst [DxNt
www.eeworm.com/read/159921/10587845
m bayesdemo2.m
% BAYESDEMO2 demo on Bayes classifiation and error estimation.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.c
www.eeworm.com/read/159921/10588070
m svmclass2.m
% SVMCLASS2 classifies patterns using SVM decision function.
% [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg)
%
% SVMCLASS2 classifies patterns using SVM decision
www.eeworm.com/read/421949/10676360
m~ knnclass.m~
function [class] = knnclass(tst,X,I,K)
% [class] = knnclass(tst,X,I,K)
%
% KNNCLASS is an implementation of K-Nearest Neighbours
% classifier. The Euclidean distance is used.
%
% Input:
% tst [DxNt
www.eeworm.com/read/421949/10676532
m bayesdemo2.m
% BAYESDEMO2 demo on Bayes classifiation and error estimation.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.c
www.eeworm.com/read/421949/10676742
m svmclass2.m
% SVMCLASS2 classifies patterns using SVM decision function.
% [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg)
%
% SVMCLASS2 classifies patterns using SVM decision