Trouble while running gem5 in full system mode [on hold]

I am not able to run gem5 in full system mode. I have followed the commands below —— rohit@rohit:~$ mkdir full_system_images

rohit@rohit:~$ cd full_system_images

rohit@rohit:~/full_system_IMAGES$ wget http://www.m5sim.org/dist/current/x86/x86-system.tar.bz2

rohit@rohit:~/full_system_IMAGES$ tarjxf x86-system.tar.bz2

rohit@rohit:~/full_system_IMAGES$ echo “export M5_PATH=/home/rohit/full_system_imagrohit@rohit:~/full_system_IMAGES” >> ~/.bashrc

rohit@rohit:~/full_system_IMAGES$ gedit ~/.bashrc

rohit@rohit:~/full_system_IMAGES$ echo $ M5_PATH

rohit@rohit:~/full_system_IMAGES$ cd

rohit@rohit:~$ cd gem5

rohit@rohit:~/gem5$ build/X86/gem5.opt configs/example/fs.py –disk-image=/home/rohit/full_system_images/disks/linux-x86.img

After running this command, I got error as——–

Traceback (most recent call last): File “”, line 1, in

File “build/X86/python/m5/main.py”, line 457, in main exec(filecode, scope)

File “configs/example/fs.py”, line 342, in test_sys = build_test_system(np)

File “configs/example/fs.py”, line 93, in build_test_system cmdline=cmdline)

File “/home/rohit/gem5/configs/common/FSConfig.py”, line 607, in makeLinuxX86System makeX86System(mem_mode, numCPUs, mdesc, self, Ruby)

File “/home/rohit/gem5/configs/common/FSConfig.py”, line 532, in makeX86System disk0.childImage(mdesc.disk())

File “/home/rohit/gem5/configs/common/Benchmarks.py”, line 59, in disk return disk(self.diskname)

File “/home/rohit/gem5/configs/common/SysPaths.py”, line 62, in call raise IOError(“Can’t find a path to system files.”)

IOError: Can’t find a path to system file.

Please, help me to fix this problem.

Is a VPN and Virtual Machine secure enough for running programs that might include malware

I am trying to start a LEGAL business online but don’t want viruses from any sketchy software that I will be downloading. I will be using a VM and a VPN but was wondering if I needed any other software so my computer, network etc will not be affected. I understand not to have shared files on and all that but still don’t know for sure because some people say some malware can get through Virtual Machines. Thank you for reading and please reply if you can provide any assistance.

When running animated water as a creature, how can I get stats quickly?

A subquestion of How does animated water work?

When a player conjures a creature formed of animated water, for example a Small horse, I find it works best to model that animated water as a CR0 creature with the Elemental type. How can I get appropriate stats for such a creature quickly? That is, when a player forms a 5′ cube of water into a horse, I know from experience that it should be Medium or Small in size, and when they turn that cube into a duck, a rooster, and an eagle instead I know that they should be Tiny, Tiny, and Small respectively. I still need to give each creature an amount of hp, speed, and potentially traits and actions. Is there a way to do this quickly while ensuring my players can predict what the stats of a creature they make will be yet also the effect isn’t going to make creatures of a power level greater than CR0 should justify? What can I do to speed up this process without unbalancing it?

Goals in Bing Ads are not exactly sourced from running Bing Ads? Could it be from running Google Ads?

I have been running Google ads for a few months now where I track the conversion goals using tags.

Now, I’m experimenting with Bing Ads and I have enabled tagging + conversion goals.

I have got a conversion goal on Bing Ads which has been recorded in Google Analytics too. How to know if I got this goal only through Bing Ads and not through Google Ads?

Worst Case running time of the Minimum Vertex Cover Approximation algorithm

Considering this factor $ 2$ minimum vertex cover approximation algorithm :

Repeat while there is an edge:

Arbitrarily pick an uncovered edge $ e=(u,v)$ and add $ u$ and $ v$ to the solution. Delete $ u$ and $ v$ from the graph. Finally output the candidate cover.

I want to find the worst case running time of this algorithm. Since in a fully connected graph we have $ O(n^2)$ edges, then the loop will run at most $ O(n^2)$ times, I guess here I am not sure what the maximal number of delete operations could be or perhaps for less than $ O(n^2)$ edges there would be some scenario with a large number of delete operations.

Any insights appreciated.