【求助】两段多段线,求交点后,程序执行到最后一个括号,就报发生冲突
哪位大哥能帮我运行以下这段代码,直接复制上去,一个命令就可以了,我这里老是在程序结束完了,释放 交点的时候 ,就报告说发生冲突,哪位大哥帮帮忙啊,运行一下。AcDbEntity *ent=NULL;
AcRxClass *cls=AcDbPolyline::desc();
ads_name entName;
ads_point pt;
AcDbPolyline *pl1=NULL;
AcDbPolyline *pl2=NULL;
if(acedEntSel(TEXT("select pl1:\n"),entName,pt)==RTNORM){
AcDbObjectId entId;
ErrorStatus es=acdbGetObjectId(entId,entName);
if(es==ErrorStatus::eOk){
es=acdbOpenObject(pl1,entId,AcDb::kForWrite);
if(es!=ErrorStatus::eOk){
return;
}
}
}
else{
return;
}
if(acedEntSel(TEXT("select pl2:\n"),entName,pt)==RTNORM){
AcDbObjectId entId;
ErrorStatus es=acdbGetObjectId(entId,entName);
if(es==ErrorStatus::eOk){
es=acdbOpenObject(pl2,entId,AcDb::kForWrite);
if(es!=ErrorStatus::eOk){
pl1->close();
return;
}
}
}
else{
pl1->close();
return;
}
AcGePoint3dArray ptArrJ;
ErrorStatus es= pl1->intersectWith(pl2,AcDb::kOnBothOperands,ptArrJ);
acutPrintf(L"%d",es);
if(ptArrJ.length()>=2){
pl1->close();
pl2->close();
}
if(ptArrJ.length()>=2){
pl1->close();
pl2->close();
}
不管是否大于等于2都要释放的啊,你这个不是所有操作都有释放 主要是在使用AcGePointArray或者AcDbVoidPtrArray的时候会出错
这两个是使用的acarray.h里的东西
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
主要是delete[] mpArray这里就出错。
但是我单独做个写几个点添加进AcGePointArray里,这个Point3dArray释放的时候又不会报错
data:image/png;base64,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
出现这个问题不是太正常了,你的vs2010用的库是一个版本,对应的cad2013-14,cad2012开发库用的是另一个版本,应该用vs2008来编译。你这个就是用一个库的new,另一个库的delete,当然会出问题。vs和cad匹配就可以了 我怀疑是这个AcGePoint3dArray 最后释放点的时候会出错,我都不知道该怎么办才好了。
我用vs2010+cad2012 在 win10 64位的电脑上就这样,但是我用vs2015+cad2018,同样的代码一点错误都没得,我该怎么办?:'(:'(:'( WIN10 64位 CAD2016 未报错。 satan421 发表于 2020-2-19 19:52
WIN10 64位 CAD2016 未报错。
我在我旧电脑上cad2018+vs2015开发的,win10 64位也没报错。真是太奇怪了。 WIN7X64+VS2010+CAD2016测试无问题。 谁能用vs2010+cad2012测试一下呢? 革天明 发表于 2020-2-19 19:43
if(ptArrJ.length()>=2){
pl1->close();
你说的对,我改了代码了,也是同样的问题。 最新发现,我这个有很少的情况,代码不报这个错误,能正常执行。
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