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onboarding's Issues

Try wrk instead of vegeta

When I use vegeta locally, it doesn't use so much CPU (I know about cpu=1 option) and also my webserver doesn't use any CPU.

On the other hand, when I try wrk for example, with 1 thread, both wrk and my webserver, both using some CPU!

I think replacing it with a better tool can leads to different results.

wrk command can be like:
wrk -t1 -c500 -d45s --latency -s script.lua http://localhost:8080

And content of script.lua will be like:
wrk.method = "POST" wrk.body = "8"

More accurate tests for Prime

I would suggest having composite numbers in the input.txt file.

Also for the output, it's better to have a reference to the input number.
Currently, you only rely on the order of numbers which doesn't seem safe! In another word, what if I accidentally print "1" as the result of 11 instead of "1" as the result of 13? The final result is correct, but you cannot see the mistake!

weird results

Hi

I have changed my code slightly in the last round, this is the time recorded in my machine

python3 original.py   10.34s user 1.98s system 99% cpu 12.340 total
python3 original.py   10.11s user 2.25s system 99% cpu 12.360 total
python3 original.py   10.35s user 2.12s system 99% cpu 12.475 total
python3 prime_checker.py   5.75s user 0.42s system 93% cpu 6.591 total
python3 prime_checker.py   5.77s user 0.39s system 93% cpu 6.572 total
python3 prime_checker.py   5.79s user 0.43s system 93% cpu 6.649 total

so based on those my code should work faster but the result was the opposite!

last round time 4.xx seconds
this round 160.xx seconds ://

it's so weird

Cache execution results

If the latest commit id of the branch is the same as the previous one, don't run it again.

I think the countme runner has some issues!

https://soallpeach.run/scores/17223

Traceback (most recent call last):
File \"workspace/metrics.py\", line 30, in <module>
metrics_json = json.loads(metrics_file.read())
File \"/opt/hostedtoolcache/Python/3.8.2/x64/lib/python3.8/json/__init__.py\", line 357, in loads
return _default_decoder.decode(s)
File \"/opt/hostedtoolcache/Python/3.8.2/x64/lib/python3.8/json/decoder.py\", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File \"/opt/hostedtoolcache/Python/3.8.2/x64/lib/python3.8/json/decoder.py\", line 355, in raw_decode
raise JSONDecodeError(\"Expecting value\", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Test files

Hi.

First of all, I have to thank you for your amazing idea.

As we see , in test file we have 5 non-prim numbers at first, and another numbers are prim!!!
So I can just print 0 for first 5 records and 1 for other records!!!!

As a result, I don't think test files are fair.
I think it's better that have more non-prim numbers in random places.
It can bring us closer to reality.

Test time in Action is misleading

Hi,

I've done a bunch of tests and it looks like the time elapsed in run.py does not represent the real time of the algorithm.

I've built a couple of the contestant's containers and tested the results locally and it doesn't match up with the repo's Action results. This is what I ran:

perf stat docker run -it --rm -v /tmp/ch1/input.txt:/input.txt prime:CONTENSTANT /input.txt > /dev/null

Please let me know if you need me to share more info

`sh` is required for running the containers now

Hi,

in run_in_file_program.sh, use of sh command is required. I've built my container FROM scratch so it won't run with this.

Is sh a requirement for running the challenges? if so, we should make sure it's reflected in the docs.

Cheers,

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