代码搜索：para
找到约 10,000 项符合「para」的源代码
代码结果 10,000
www.eeworm.com/read/366702/2877035
f90 parens_5.f90
! { dg-do run }
! Another case of fallout from the original patch for PR14771
! Testcase by Erik Zeek
module para
contains
function bobo(n)
integer, intent(in) :: n
character(len=(n))
www.eeworm.com/read/366702/2884083
c undef2.c
/* C99 6.10.8 para 4: None of [the predefined macro names] shall be
the subject of a #define or an #undef preprocessing directive. We
pass -fno-show-column as otherwise dejagnu gets confused.
www.eeworm.com/read/361366/2946469
js base.js
// funcion que ejecuta cada 4 segundos una funcion ajax que consulta a la base
// para verificar llamadas entrantes
function refrescar() {
var prefijo_objeto;
var pestania = document.getElemen
www.eeworm.com/read/162614/5530999
c undef2.c
/* C99 6.10.8 para 4: None of [the predefined macro names] shall be
the subject of a #define or an #undef preprocessing directive. We
pass -fno-show-column as otherwise dejagnu gets confused.
www.eeworm.com/read/472601/6871533
c tarea 1.c
/*
Tarea 1
"Encoder"
Diseno de Sistema de Computadoras
Presentado por:
Raymundo Yoshiro Yamamoto Palacios
2004-0081
Para:
Prof. Marlon Hiraldo
*/
/*
Agregrando libreria del atmega16
www.eeworm.com/read/472601/6871537
c~ tarea 1.c~
/*
Tarea 1
"Encoder"
Diseno de Sistema de Computadoras
Presentado por:
Raymundo Yoshiro Yamamoto Palacios
2004-0081
Para:
Prof. Marlon Hiraldo
*/
/*
Agregrando libreria del atmega16
www.eeworm.com/read/472601/6871538
c tarea 1__.c
/*
Tarea 1
"Encoder"
Diseno de Sistema de Computadoras
Presentado por:
Raymundo Yoshiro Yamamoto Palacios
2004-0081
Para:
Prof. Marlon Hiraldo
*/
/*
Agregrando libreria del atmega16
www.eeworm.com/read/293598/8283394
m rtscost231.m
function saida = rtscost231(frequencia, hre, ws, hb, fi)
%
% FUN敲O PARA PREVIS肙 DA PERDA POR DIFRA敲O DESDE O TOPO DO ULTIMO EDIFICIO
% AT
www.eeworm.com/read/173076/9675388
m mcmcsumm.m
% MCMCSUMM - Summary Statistics
% Copyright (c) 1998, Harvard University. Full copyright in the file Copyright
%
% [S] = mcmcsumm(A)
%
% A = r x c x s array of s samples of an r x c matrix of para
www.eeworm.com/read/415313/11076801
m iis_classify.m
% IIS_classify: implementation for improved iterative scaling for maximum entropy models
%
% Parameters:
% para: parameters
% 1. MinValue: the feature value to replace 0, default: 1e-7
% 2. I