3rd-party/linux-kernel-module-cheat
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fix github analytics

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Ciro Santilli
2025-05-10 07:50:47 +01:00
parent 421ea06ff8
commit 8e6cdcb14b
2 changed files with 20 additions and 9 deletions
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21
README.adoc
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@@ -1525,13 +1525,18 @@ xdg-open README.html
For development, you will want to do a more controlled build with extra error checking as follows. For development, you will want to do a more controlled build with extra error checking as follows.
For the initial build do: TODO: get this working seamlessly on Docker. For now some quick instructions for host building. For the initial build, first install RVM and Ruby as per https://www.rvm.io/rvm/install[]:
.... ....
python3 -m venv .venv \curl -sSL https://get.rvm.io | bash
. .venv/bin/activate rvm install 3.2.3
./setup ....
./build --download-dependencies docs
The TODO Docker instructions which are not yet working should look simply something like this:
....
./run-docker
./build --download-dependencies doc
.... ....
which also downloads build dependencies. which also downloads build dependencies.
@@ -10092,7 +10097,7 @@ printf asdf > /dev/${module}0
printf asdf > /dev/${module}0 printf asdf > /dev/${module}0
printf we | dd of="$f" bs=1 seek=1 conv=notrunc status=none printf we | dd of="$f" bs=1 seek=1 conv=notrunc status=none
[ "$(cat "$f")" = aqwf ] [ "$(cat "$f")" = aqwf ]
... ....
It is also worth noting that the implementation of scull is meant to be "readable" but not optimal: It is also worth noting that the implementation of scull is meant to be "readable" but not optimal:
@@ -26980,12 +26985,12 @@ Hardware maintenance manual: https://download.lenovo.com/pccbbs/mobiles_pdf/p51_
Summary string of key hardware for copy paste: Summary string of key hardware for copy paste:
____ ____
Lenovo ThinkPad P51 laptop with CPU: <<intel-core-i7-7820hq-cpu,Intel Core i7-7820HQ>> (4 cores / 8 threads, 2.90 GHz base, 8 MB cache), DRAM: 2x <<samsung-m471a2k43bb1-crc-16gb-dram,Samsung M471A2K43BB1-CRC>> (2x 16GiB, 2400 Mbps), SSD: <<samsung-mzvlb512hajq-000l7-512gb-ssd,Samsung MZVLB512HAJQ-000L7>> (512GB, 3,000 MB/s). Lenovo ThinkPad P51 laptop with CPU: <<intel-core-i7-7820hq-cpu,Intel Core i7-7820HQ>> (4 cores / 8 threads, 2.90 GHz base, 8 MB cache), DRAM: 2x Samsung M471A2K43BB1-CRC (2x 16GiB, 2400 Mbps), SSD: Samsung MZVLB512HAJQ-000L7 (512GB, 3,000 MB/s).
____ ____
Further specs: Further specs:
* Hard disk: <<seagate-st1000lm035-1rk1-1tb-hard-disk>> * Hard disk: Seagate ST1000LM035-1RK1 1TB hard disk
* GPU: <<nvidia-quadro-m1200-4gb-gddr5-gpu>> * GPU: <<nvidia-quadro-m1200-4gb-gddr5-gpu>>
* Pre-installed OS: * Pre-installed OS:
** Windows 10 Pro 64 ** Windows 10 Pro 64

8
docinfo-footer.html
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@@ -1,5 +1,4 @@
<script> <script>
<!-- Google Analytics, AKA selling my soul to Google for some backlinks. -->
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
@@ -7,3 +6,10 @@ m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
ga('create', 'UA-47867706-1', 'auto'); ga('create', 'UA-47867706-1', 'auto');
ga('send', 'pageview'); ga('send', 'pageview');
</script> </script>
<script async src="https://www.googletagmanager.com/gtag/js?id=G-DEE2HEJW9X"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-DEE2HEJW9X');
</script>