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Autres articles (40)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...) -
La sauvegarde automatique de canaux SPIP
1er avril 2010, parDans le cadre de la mise en place d’une plateforme ouverte, il est important pour les hébergeurs de pouvoir disposer de sauvegardes assez régulières pour parer à tout problème éventuel.
Pour réaliser cette tâche on se base sur deux plugins SPIP : Saveauto qui permet une sauvegarde régulière de la base de donnée sous la forme d’un dump mysql (utilisable dans phpmyadmin) mes_fichiers_2 qui permet de réaliser une archive au format zip des données importantes du site (les documents, les éléments (...)
Sur d’autres sites (6026)
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What is Web Log Analytics and Why You Should Use It
26 juin 2024, par ErinCan’t use JavaScript tracking on your website ? Need a more secure and privacy-friendly way to understand your website visitors ? Web log analytics is your answer. This method pulls data directly from your server logs, offering a secure and privacy-respecting alternative.
In this blog, we cover what web log analytics is, how it compares to JavaScript tracking, who it is best suited for, and why it might be the right choice for you.
What are server logs ?
Before diving in, let’s start with the basics : What are server logs ? Think of your web server as a diary that notes every visit to your website. Each time someone visits, the server records details like :
- User agent : Information about the visitor’s browser and operating system.
- Timestamp : The exact time the request was made.
- Requested URL : The specific page or resource the visitor requested.
These “diary entries” are called server logs, and they provide a detailed record of all interactions with your website.
Server log example
Here’s what a server log looks like :
192.XXX.X.X – – [24/Jun/2024:14:32:01 +0000] “GET /index.html HTTP/1.1” 200 1024 “https://www.example.com/referrer.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36”
192.XXX.X.X – – [24/Jun/2024:14:32:02 +0000] “GET /style.css HTTP/1.1” 200 3456 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36”
192.XXX.X.X – – [24/Jun/2024:14:32:03 +0000] “GET /script.js HTTP/1.1” 200 7890 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36”
192.XXX.X.X – – [24/Jun/2024:14:32:04 +0000] “GET /images/logo.png HTTP/1.1” 200 1234 “https://www.example.com/index.html” “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36”
Breakdown of the log entry
Each line in the server log represents a single request made by a visitor to your website. Here’s a detailed breakdown of what each part means :
- IP Address : 192.XXX.X.X
- This is the IP address of the visitor’s device.
- User Identifier : – –
- These fields are typically used for user identification and authentication, which are not applicable here, hence the hyphens.
- Timestamp : [24/Jun/2024:14:32:01 +0000]
- The date and time of the request, including the timezone.
- Request Line : “GET /index.html HTTP/1.1”
- The request method (GET), the requested resource (/index.html), and the HTTP version (HTTP/1.1).
- Response Code : 200
- The HTTP status code indicates the result of the request (200 means OK).
- Response Size : 1024
- The size of the response in bytes.
- Referrer : “https://www.example.com/referrer.html“
- The URL of the referring page that led the visitor to the current page.
- User Agent : “Mozilla/5.0 (Windows NT 10.0 ; Win64 ; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36”
- Information about the visitor’s browser and operating system.
In the example above, there are multiple log entries for different resources (HTML page, CSS file, JavaScript file, and an image). This shows that when a visitor loads a webpage, multiple requests are made to load all the necessary resources.
What is web log analytics ?
Web log analytics is one of many methods for tracking visitors to your site.
Web log analytics is the process of analysing server log files to track and understand website visitors. Unlike traditional methods that use JavaScript tracking codes embedded in web pages, web log analytics pulls data directly from these server logs.
How it works :
- Visitor request : A visitor’s browser requests your website.
- Server logging : The server logs the request details.
- Analysis : These logs are analysed to extract useful information about your visitors and their activities.
Web log analytics vs. JavaScript tracking
JavaScript tracking
JavaScript tracking is the most common method used to track website visitors. It involves embedding a JavaScript code snippet into your web pages. This code collects data on visitor interactions and sends it to a web analytics platform.
Differences and benefits :
Privacy :
- Web log analytics : Since it doesn’t require embedding tracking codes, it is considered less intrusive and helps maintain higher privacy standards.
- JavaScript tracking : Embeds tracking codes directly on your website, which can be more invasive and raise privacy concerns.
Ease of setup :
- Web log analytics : No need to modify your website’s code. All you need is access to your server logs.
- JavaScript tracking : Requires adding tracking code on your web pages. This is generally an easier setup process.
Data collection :
- Web log analytics : Contain requests of users with adblockers (ghostery, adblock, adblock plus, privacy badger, etc.) sometimes making it more accurate. However, it may miss certain interactive elements like screen resolution or user events. It may also over-report data.
- JavaScript tracking : Can collect a wide range of data, including Custom dimensions, Ecommerce tracking, Heatmaps, Session recordings, Media and Form analytics, etc.
Why choose web log analytics ?
Enhanced privacy
Avoiding embedded tracking codes means there’s no JavaScript running on your visitors’ browsers. This significantly reduces the risk of data leakage and enhances overall privacy.
Comprehensive data collection
It isn’t affected by ad blockers or browser tracking protections, ensuring you capture more complete and accurate data about your visitors.
Historical data analysis
You can import and analyse historical log files, giving you insights into long-term visitor behaviour and trends.
Simple setup
Since it relies on server logs, there’s no need to alter your website’s code. This makes setup straightforward and minimises potential technical issues.
Who should use web log analytics ?
Web log analytics is particularly suited for businesses that prioritise data privacy and security.
Organisations that handle sensitive data, such as banks, healthcare providers, and government agencies, can benefit from the enhanced privacy.
By avoiding JavaScript tracking, these entities minimise data exposure and comply with strict privacy regulations like Sarbanes Oxley and PCI.
Why use Matomo for web log analytics ?
Matomo stands out as a top choice for web log analytics because it prioritises privacy and data ownership
Here’s why :
- Complete data control : You own all your data, so you don’t have to worry about third-party access.
- IP anonymisation : Matomo anonymises IP addresses to further protect user privacy.
- Bot filtering : Automatically excludes bots from your reports, ensuring you get accurate data.
- Simple migration : You can easily switch from other tools like AWStats by importing your historical logs into Matomo.
- Server log recognition : Recognises most server log formats (Apache, Nginx, IIS, etc.).
Start using web log analytics
Web log analytics offers a secure, privacy-focused alternative to traditional JavaScript tracking methods. By analysing server logs, you get valuable insights into your website traffic while maintaining high privacy standards.
If you’re serious about privacy and want reliable data, give Matomo’s web log analytics a try.
Start your 21-day free trial now. No credit card required.
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What is a Cohort Report ? A Beginner’s Guide to Cohort Analysis
3 janvier 2024, par ErinHandling your user data as a single mass of numbers is rarely conducive to figuring out meaningful patterns you can use to improve your marketing campaigns.
A cohort report (or cohort analysis) can help you quickly break down that larger audience into sequential segments and contrast and compare based on various metrics. As such, it is a great tool for unlocking more granular trends and insights — for example, identifying patterns in engagement and conversions based on the date users first interacted with your site.
In this guide, we explain the basics of the cohort report and the best way to set one up to get the most out of it.
What is a cohort report ?
In a cohort report, you divide a data set into groups based on certain criteria — typically a time-based cohort metric like first purchase date — and then analyse the data across those segments, looking for patterns.
Date-based cohort analysis is the most common approach, often creating cohorts based on the day a user completed a particular action — signed up, purchased something or visited your website. Depending on the metric you choose to measure (like return visits), the cohort report might look something like this :
Note that this is not a universal benchmark or anything of the sort. The above is a theoretical cohort analysis based on app users who downloaded the app, tracking and comparing the retention rates as the days go by.
The benchmarks will be drastically different depending on the metric you’re measuring and the basis for your cohorts. For example, if you’re measuring returning visitor rates among first-time visitors to your website, expect single-digit percentages even on the second day.
Your industry will also greatly affect what you consider positive in a cohort report. For example, if you’re a subscription SaaS, you’d expect high continued usage rates over the first week. If you sell office supplies to companies, much less so.
What is an example of a cohort ?
As we just mentioned, a typical cohort analysis separates users or customers by the date they first interacted with your business — in this case, they downloaded your app. Within that larger analysis, the users who downloaded it on May 3 represent a single cohort.
In this case, we’ve chosen behaviour and time — the app download day — to separate the user base into cohorts. That means every specific day denotes a specific cohort within the analysis.
Diving deeper into an individual cohort may be a good idea for important holidays or promotional events like Black Friday.
Of course, cohorts don’t have to be based on specific behaviour within certain periods. You can also create cohorts based on other dimensions :
- Transactional data — revenue per user
- Churn data — date of churn
- Behavioural cohort — based on actions taken on your website, app or e-commerce store, like the number of sessions per user or specific product pages visited
- Acquisition cohort — which channel referred the user or customer
For more information on different cohort types, read our in-depth guide on cohort analysis.
How to create a cohort report (and make sense of it)
Matomo makes it easy to view and analyse different cohorts (without the privacy and legal implications of using Google Analytics).
Here are a few different ways to set up a cohort report in Matomo, starting with our built-in cohorts report.
Cohort reports
With Matomo, cohort reports are automatically compiled based on the first visit date. The default metric is the percentage of returning visitors.
Changing the settings allows you to create multiple variations of cohort analysis reports.
Break down cohorts by different metrics
The percentage of returning visits can be valuable if you’re trying to improve early engagement in a SaaS app onboarding process. But it’s far from your only option.
You can also compare performance by conversion, revenue, bounce rate, actions per visit, average session duration or other metrics.
Change the time and scope of your cohort analysis
Splitting up cohorts by single days may be useless if you don’t have a high volume of users or visitors. If the average cohort size is only a few users, you won’t be able to identify reliable patterns.
Matomo lets you set any time period to create your cohort analysis report. Instead of the most recent days, you can create cohorts by week, month, year or custom date ranges.
Cohort sizes will depend on your customer base. Make sure each cohort is large enough to encapsulate all the customers in that cohort and not so small that you have insignificant cohorts of only a few customers. Choose a date range that gives you that without scaling it too far so you can’t identify any seasonal trends.
Cohort analysis can be a great tool if you’ve recently changed your marketing, product offering or onboarding. Set the data range to weekly and look for any impact in conversions and revenue after the changes.
Using the “compare to” feature, you can also do month-over-month, quarter-over-quarter or any custom date range comparisons. This approach can help you get a rough overview of your campaign’s long-term progress without doing any in-depth analysis.
You can also use the same approach to compare different holiday seasons against each other.
If you want to combine time cohorts with segmentation, you can run cohort reports for different subsets of visitors instead of all visitors. This can lead to actionable insights like adjusting weekend or specific seasonal promotions to improve conversion rates.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Easily create custom cohort reports beyond the time dimension
If you want to split your audience into cohorts by focusing on something other than time, you will need to create a custom report and choose another dimension. In Matomo, you can choose from a wide range of cohort metrics, including referrers, e-commerce signals like viewed product or product category, form submissions and more.
Then, you can create a simple table-based report with all the insights you need by choosing the metrics you want to see. For example, you could choose average visit duration, bounce rate and other usage metrics.
If you want more revenue-focused insights, add metrics like conversions, add-to-cart and other e-commerce events.
Custom reports make it easy to create cohort reports for almost any dimension. You can use any metric within demographic and behavioural analytics to create a cohort. (You can explore the complete list of our possible segmentation metrics.)
We cover different types of custom reports (and ideas for specific marketing campaigns) in our guide on custom segmentation.
Create your first cohort report and gain better insights into your visitors
Cohort reports can help you identify trends and the impact of short-term marketing efforts like events and promotions.
With Matomo cohort reports you have the power to create complex custom reports for various cohorts and segments.
If you’re looking for a powerful, easy-to-use web analytics solution that gives you 100% accurate data without compromising your users’ privacy, Matomo is a great fit. Get started with a 21-day free trial today. No credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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FFMPEG Output File is Empty Nothing was Encoded (for a Picture) ?
4 mars 2023, par Sarah SzaboI have a strange issue effecting one of my programs that does bulk media conversions using ffmpeg from the command line, however this effects me using it directly from the shell as well :


ffmpeg -i INPUT.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "OUTPUT.png"
fails every run with the error message :
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)

This only happens with very specific videos, and seemingly no other videos. File type is usually .webm. These files have been downloaded properly (usually from yt-dlp), and I have tried re-downloading them just to verify their integrity.


One such file from a colleague was : https://www.dropbox.com/s/xkucr2z5ra1p2oh/Triggerheart%20Execlica%20OST%20%28Arrange%29%20-%20Crueltear%20Ending.mkv?dl=0


Is there a subtle issue with the command string ?


Notes :


removing
-huffman optimalhad no effect

moving
-ssto before-ihad no effect

removing
-f image2 had no effect

Full Log :


sarah@MidnightStarSign:~/Music/Playlists/Indexing/Indexing Temp$ ffmpeg -i Triggerheart\ Execlica\ OST\ \(Arrange\)\ -\ Crueltear\ Ending.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "TEST.png"
ffmpeg version n5.1.2 Copyright (c) 2000-2022 the FFmpeg developers
 built with gcc 12.2.0 (GCC)
 configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libiec61883 --enable-libjack --enable-libmfx --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librav1e --enable-librsvg --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-version3 --enable-vulkan
 libavutil 57. 28.100 / 57. 28.100
 libavcodec 59. 37.100 / 59. 37.100
 libavformat 59. 27.100 / 59. 27.100
 libavdevice 59. 7.100 / 59. 7.100
 libavfilter 8. 44.100 / 8. 44.100
 libswscale 6. 7.100 / 6. 7.100
 libswresample 4. 7.100 / 4. 7.100
 libpostproc 56. 6.100 / 56. 6.100
[matroska,webm @ 0x55927f484740] Could not find codec parameters for stream 2 (Attachment: none): unknown codec
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, matroska,webm, from 'Triggerheart Execlica OST (Arrange) - Crueltear Ending.mkv':
 Metadata:
 title : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
 PURL : https://www.youtube.com/watch?v=zJ0bEa_8xEg
 COMMENT : https://www.youtube.com/watch?v=zJ0bEa_8xEg
 ARTIST : VinnyVynce
 DATE : 20170905
 ENCODER : Lavf59.27.100
 Duration: 00:00:30.00, start: -0.007000, bitrate: 430 kb/s
 Stream #0:0(eng): Video: vp9 (Profile 0), yuv420p(tv, bt709), 720x720, SAR 1:1 DAR 1:1, 25 fps, 25 tbr, 1k tbn (default)
 Metadata:
 DURATION : 00:00:29.934000000
 Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
 Metadata:
 DURATION : 00:00:30.001000000
 Stream #0:2: Attachment: none
 Metadata:
 filename : cover.webp
 mimetype : image/webp
Codec AVOption huffman (Huffman table strategy) specified for output file #0 (TEST.png) has not been used for any stream. The most likely reason is either wrong type (e.g. a video option with no video streams) or that it is a private option of some encoder which was not actually used for any stream.
Stream mapping:
 Stream #0:0 -> #0:0 (vp9 (native) -> png (native))
Press [q] to stop, [?] for help
Output #0, image2, to 'TEST.png':
 Metadata:
 title : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
 PURL : https://www.youtube.com/watch?v=zJ0bEa_8xEg
 COMMENT : https://www.youtube.com/watch?v=zJ0bEa_8xEg
 ARTIST : VinnyVynce
 DATE : 20170905
 encoder : Lavf59.27.100
 Stream #0:0(eng): Video: png, rgb24, 720x720 [SAR 1:1 DAR 1:1], q=2-31, 200 kb/s, 25 fps, 25 tbn (default)
 Metadata:
 DURATION : 00:00:29.934000000
 encoder : Lavc59.37.100 png
frame= 0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A speed= 0x 
video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)


Manjaro OS System Specs :


System:
 Kernel: 6.1.12-1-MANJARO arch: x86_64 bits: 64 compiler: gcc v: 12.2.1
 parameters: BOOT_IMAGE=/@/boot/vmlinuz-6.1-x86_64
 root=UUID=f11386cf-342d-47ac-84e6-484b7b2f377d rw rootflags=subvol=@
 radeon.modeset=1 nvdia-drm.modeset=1 quiet
 cryptdevice=UUID=059df4b4-5be4-44d6-a23a-de81135eb5b4:luks-disk
 root=/dev/mapper/luks-disk apparmor=1 security=apparmor
 resume=/dev/mapper/luks-swap udev.log_priority=3
 Desktop: KDE Plasma v: 5.26.5 tk: Qt v: 5.15.8 wm: kwin_x11 vt: 1 dm: SDDM
 Distro: Manjaro Linux base: Arch Linux
Machine:
 Type: Desktop Mobo: ASUSTeK model: PRIME X570-PRO v: Rev X.0x
 serial: <superuser required="required"> UEFI: American Megatrends v: 4408
 date: 10/27/2022
Battery:
 Message: No system battery data found. Is one present?
Memory:
 RAM: total: 62.71 GiB used: 27.76 GiB (44.3%)
 RAM Report: permissions: Unable to run dmidecode. Root privileges required.
CPU:
 Info: model: AMD Ryzen 9 5950X bits: 64 type: MT MCP arch: Zen 3+ gen: 4
 level: v3 note: check built: 2022 process: TSMC n6 (7nm) family: 0x19 (25)
 model-id: 0x21 (33) stepping: 0 microcode: 0xA201016
 Topology: cpus: 1x cores: 16 tpc: 2 threads: 32 smt: enabled cache:
 L1: 1024 KiB desc: d-16x32 KiB; i-16x32 KiB L2: 8 MiB desc: 16x512 KiB
 L3: 64 MiB desc: 2x32 MiB
 Speed (MHz): avg: 4099 high: 4111 min/max: 2200/6358 boost: disabled
 scaling: driver: acpi-cpufreq governor: schedutil cores: 1: 4099 2: 4095
 3: 4102 4: 4100 5: 4097 6: 4100 7: 4110 8: 4111 9: 4083 10: 4099 11: 4100
 12: 4094 13: 4097 14: 4101 15: 4100 16: 4099 17: 4100 18: 4097 19: 4098
 20: 4095 21: 4100 22: 4099 23: 4099 24: 4105 25: 4098 26: 4100 27: 4100
 28: 4092 29: 4103 30: 4101 31: 4100 32: 4099 bogomips: 262520
 Flags: 3dnowprefetch abm adx aes aperfmperf apic arat avic avx avx2 bmi1
 bmi2 bpext cat_l3 cdp_l3 clflush clflushopt clwb clzero cmov cmp_legacy
 constant_tsc cpb cpuid cqm cqm_llc cqm_mbm_local cqm_mbm_total
 cqm_occup_llc cr8_legacy cx16 cx8 de decodeassists erms extapic
 extd_apicid f16c flushbyasid fma fpu fsgsbase fsrm fxsr fxsr_opt ht
 hw_pstate ibpb ibrs ibs invpcid irperf lahf_lm lbrv lm mba mca mce
 misalignsse mmx mmxext monitor movbe msr mtrr mwaitx nonstop_tsc nopl npt
 nrip_save nx ospke osvw overflow_recov pae pat pausefilter pclmulqdq
 pdpe1gb perfctr_core perfctr_llc perfctr_nb pfthreshold pge pku pni popcnt
 pse pse36 rapl rdpid rdpru rdrand rdseed rdt_a rdtscp rep_good sep sha_ni
 skinit smap smca smep ssbd sse sse2 sse4_1 sse4_2 sse4a ssse3 stibp succor
 svm svm_lock syscall tce topoext tsc tsc_scale umip v_spec_ctrl
 v_vmsave_vmload vaes vgif vmcb_clean vme vmmcall vpclmulqdq wbnoinvd wdt
 x2apic xgetbv1 xsave xsavec xsaveerptr xsaveopt xsaves
 Vulnerabilities:
 Type: itlb_multihit status: Not affected
 Type: l1tf status: Not affected
 Type: mds status: Not affected
 Type: meltdown status: Not affected
 Type: mmio_stale_data status: Not affected
 Type: retbleed status: Not affected
 Type: spec_store_bypass mitigation: Speculative Store Bypass disabled via
 prctl
 Type: spectre_v1 mitigation: usercopy/swapgs barriers and __user pointer
 sanitization
 Type: spectre_v2 mitigation: Retpolines, IBPB: conditional, IBRS_FW,
 STIBP: always-on, RSB filling, PBRSB-eIBRS: Not affected
 Type: srbds status: Not affected
 Type: tsx_async_abort status: Not affected
Graphics:
 Device-1: NVIDIA GA104 [GeForce RTX 3070] vendor: ASUSTeK driver: nvidia
 v: 525.89.02 alternate: nouveau,nvidia_drm non-free: 525.xx+
 status: current (as of 2023-02) arch: Ampere code: GAxxx
 process: TSMC n7 (7nm) built: 2020-22 pcie: gen: 4 speed: 16 GT/s lanes: 8
 link-max: lanes: 16 bus-ID: 0b:00.0 chip-ID: 10de:2484 class-ID: 0300
 Device-2: AMD Cape Verde PRO [Radeon HD 7750/8740 / R7 250E]
 vendor: VISIONTEK driver: radeon v: kernel alternate: amdgpu arch: GCN-1
 code: Southern Islands process: TSMC 28nm built: 2011-20 pcie: gen: 3
 speed: 8 GT/s lanes: 8 link-max: lanes: 16 ports: active: DP-3,DP-4
 empty: DP-1, DP-2, DP-5, DP-6 bus-ID: 0c:00.0 chip-ID: 1002:683f
 class-ID: 0300 temp: 54.0 C
 Device-3: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo
 bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Display: x11 server: X.Org v: 21.1.7 with: Xwayland v: 22.1.8
 compositor: kwin_x11 driver: X: loaded: modesetting,nvidia dri: radeonsi
 gpu: radeon display-ID: :0 screens: 1
 Screen-1: 0 s-res: 5760x2160 s-dpi: 80 s-size: 1829x686mm (72.01x27.01")
 s-diag: 1953mm (76.91")
 Monitor-1: DP-1 pos: 1-2 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 Monitor-2: DP-1-3 pos: 2-1 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-3: DP-1-4 pos: 1-1 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 Monitor-4: DP-3 pos: primary,2-2 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-5: DP-4 pos: 2-4 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-6: HDMI-0 pos: 1-3 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 API: OpenGL v: 4.6.0 NVIDIA 525.89.02 renderer: NVIDIA GeForce RTX
 3070/PCIe/SSE2 direct-render: Yes
Audio:
 Device-1: NVIDIA GA104 High Definition Audio vendor: ASUSTeK
 driver: snd_hda_intel bus-ID: 5-1:2 v: kernel chip-ID: 30be:1019 pcie:
 class-ID: 0102 gen: 4 speed: 16 GT/s lanes: 8 link-max: lanes: 16
 bus-ID: 0b:00.1 chip-ID: 10de:228b class-ID: 0403
 Device-2: AMD Oland/Hainan/Cape Verde/Pitcairn HDMI Audio [Radeon HD 7000
 Series] vendor: VISIONTEK driver: snd_hda_intel v: kernel pcie: gen: 3
 speed: 8 GT/s lanes: 8 link-max: lanes: 16 bus-ID: 0c:00.1
 chip-ID: 1002:aab0 class-ID: 0403
 Device-3: AMD Starship/Matisse HD Audio vendor: ASUSTeK
 driver: snd_hda_intel v: kernel pcie: gen: 4 speed: 16 GT/s lanes: 16
 bus-ID: 0e:00.4 chip-ID: 1022:1487 class-ID: 0403
 Device-4: Schiit Audio Unison Universal Dac type: USB driver: snd-usb-audio
 Device-5: JMTek LLC. Plugable USB Audio Device type: USB
 driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-2:3 chip-ID: 0c76:120b
 class-ID: 0300 serial: <filter>
 Device-6: ASUSTek ASUS AI Noise-Cancelling Mic Adapter type: USB
 driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-4:4 chip-ID: 0b05:194e
 class-ID: 0300 serial: <filter>
 Device-7: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo
 bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Sound API: ALSA v: k6.1.12-1-MANJARO running: yes
 Sound Interface: sndio v: N/A running: no
 Sound Server-1: PulseAudio v: 16.1 running: no
 Sound Server-2: PipeWire v: 0.3.65 running: yes
Network:
 Device-1: Intel I211 Gigabit Network vendor: ASUSTeK driver: igb v: kernel
 pcie: gen: 1 speed: 2.5 GT/s lanes: 1 port: f000 bus-ID: 07:00.0
 chip-ID: 8086:1539 class-ID: 0200
 IF: enp7s0 state: up speed: 1000 Mbps duplex: full mac: <filter>
 IP v4: <filter> type: dynamic noprefixroute scope: global
 broadcast: <filter>
 IP v6: <filter> type: noprefixroute scope: link
 IF-ID-1: docker0 state: down mac: <filter>
 IP v4: <filter> scope: global broadcast: <filter>
 WAN IP: <filter>
Bluetooth:
 Device-1: Cambridge Silicon Radio Bluetooth Dongle (HCI mode) type: USB
 driver: btusb v: 0.8 bus-ID: 5-5.3:7 chip-ID: 0a12:0001 class-ID: e001
 Report: rfkill ID: hci0 rfk-id: 0 state: up address: see --recommends
Logical:
 Message: No logical block device data found.
 Device-1: luks-c847cf9f-c6b5-4624-a25e-4531e318851a maj-min: 254:2
 type: LUKS dm: dm-2 size: 3.64 TiB
 Components:
 p-1: sda1 maj-min: 8:1 size: 3.64 TiB
 Device-2: luks-swap maj-min: 254:1 type: LUKS dm: dm-1 size: 12 GiB
 Components:
 p-1: nvme0n1p2 maj-min: 259:2 size: 12 GiB
 Device-3: luks-disk maj-min: 254:0 type: LUKS dm: dm-0 size: 919.01 GiB
 Components:
 p-1: nvme0n1p3 maj-min: 259:3 size: 919.01 GiB
RAID:
 Message: No RAID data found.
Drives:
 Local Storage: total: 9.1 TiB used: 2.79 TiB (30.6%)
 SMART Message: Unable to run smartctl. Root privileges required.
 ID-1: /dev/nvme0n1 maj-min: 259:0 vendor: Western Digital
 model: WDS100T3X0C-00SJG0 size: 931.51 GiB block-size: physical: 512 B
 logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>
 rev: 111110WD temp: 53.9 C scheme: GPT
 ID-2: /dev/nvme1n1 maj-min: 259:4 vendor: Western Digital
 model: WDS100T2B0C-00PXH0 size: 931.51 GiB block-size: physical: 512 B
 logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>
 rev: 211070WD temp: 46.9 C scheme: GPT
 ID-3: /dev/sda maj-min: 8:0 vendor: Western Digital
 model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B
 logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>
 rev: 1A01 scheme: GPT
 ID-4: /dev/sdb maj-min: 8:16 vendor: Western Digital
 model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B
 logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>
 rev: 1A01 scheme: GPT
 ID-5: /dev/sdc maj-min: 8:32 type: USB vendor: SanDisk
 model: Gaming Xbox 360 size: 7.48 GiB block-size: physical: 512 B
 logical: 512 B type: N/A serial: <filter> rev: 8.02 scheme: MBR
 SMART Message: Unknown USB bridge. Flash drive/Unsupported enclosure?
 Message: No optical or floppy data found.
Partition:
 ID-1: / raw-size: 919.01 GiB size: 919.01 GiB (100.00%)
 used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0
 mapped: luks-disk label: N/A uuid: N/A
 ID-2: /boot/efi raw-size: 512 MiB size: 511 MiB (99.80%)
 used: 40.2 MiB (7.9%) fs: vfat dev: /dev/nvme0n1p1 maj-min: 259:1 label: EFI
 uuid: 8922-E04D
 ID-3: /home raw-size: 919.01 GiB size: 919.01 GiB (100.00%)
 used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0
 mapped: luks-disk label: N/A uuid: N/A
 ID-4: /run/media/sarah/ConvergentRefuge raw-size: 3.64 TiB
 size: 3.64 TiB (100.00%) used: 2.19 TiB (60.1%) fs: btrfs dev: /dev/dm-2
 maj-min: 254:2 mapped: luks-c847cf9f-c6b5-4624-a25e-4531e318851a
 label: ConvergentRefuge uuid: 7d295e73-4143-4eb1-9d22-75a06b1d2984
 ID-5: /run/media/sarah/MSS_EXtended raw-size: 475.51 GiB
 size: 475.51 GiB (100.00%) used: 1.48 GiB (0.3%) fs: btrfs
 dev: /dev/nvme1n1p1 maj-min: 259:5 label: MSS EXtended
 uuid: f98b3a12-e0e4-48c7-91c2-6e3aa6dcd32c
Swap:
 Kernel: swappiness: 60 (default) cache-pressure: 100 (default)
 ID-1: swap-1 type: partition size: 12 GiB used: 6.86 GiB (57.2%)
 priority: -2 dev: /dev/dm-1 maj-min: 254:1 mapped: luks-swap label: SWAP
 uuid: c8991364-85a7-4e6c-8380-49cd5bd7a873
Unmounted:
 ID-1: /dev/nvme1n1p2 maj-min: 259:6 size: 456 GiB fs: ntfs label: N/A
 uuid: 5ECA358FCA356485
 ID-2: /dev/sdb1 maj-min: 8:17 size: 3.64 TiB fs: ntfs
 label: JerichoVariance uuid: 1AB22D5664889CBD
 ID-3: /dev/sdc1 maj-min: 8:33 size: 3.57 GiB fs: iso9660
 ID-4: /dev/sdc2 maj-min: 8:34 size: 4 MiB fs: vfat label: MISO_EFI
 uuid: 5C67-4BF8
USB:
 Hub-1: 1-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-2: 1-2:2 info: Hitachi ports: 4 rev: 2.1 speed: 480 Mb/s
 chip-ID: 045b:0209 class-ID: 0900
 Device-1: 1-2.4:3 info: Microsoft Xbox One Controller (Firmware 2015)
 type: <vendor specific="specific"> driver: xpad interfaces: 3 rev: 2.0 speed: 12 Mb/s
 power: 500mA chip-ID: 045e:02dd class-ID: ff00 serial: <filter>
 Hub-3: 2-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-4: 2-2:2 info: Hitachi ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 045b:0210 class-ID: 0900
 Hub-5: 3-0:1 info: Hi-speed hub with single TT ports: 1 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-6: 3-1:2 info: VIA Labs Hub ports: 4 rev: 2.1 speed: 480 Mb/s
 power: 100mA chip-ID: 2109:3431 class-ID: 0900
 Hub-7: 3-1.2:3 info: VIA Labs VL813 Hub ports: 4 rev: 2.1 speed: 480 Mb/s
 chip-ID: 2109:2813 class-ID: 0900
 Hub-8: 4-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-9: 4-2:2 info: VIA Labs VL813 Hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 2109:0813 class-ID: 0900
 Hub-10: 5-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Device-1: 5-1:2 info: Schiit Audio Unison Universal Dac type: Audio
 driver: snd-usb-audio interfaces: 2 rev: 2.0 speed: 480 Mb/s power: 500mA
 chip-ID: 30be:1019 class-ID: 0102
 Device-2: 5-2:3 info: JMTek LLC. Plugable USB Audio Device type: Audio,HID
 driver: hid-generic,snd-usb-audio,usbhid interfaces: 4 rev: 1.1
 speed: 12 Mb/s power: 100mA chip-ID: 0c76:120b class-ID: 0300
 serial: <filter>
 Device-3: 5-4:4 info: ASUSTek ASUS AI Noise-Cancelling Mic Adapter
 type: Audio,HID driver: hid-generic,snd-usb-audio,usbhid interfaces: 4
 rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 0b05:194e class-ID: 0300
 serial: <filter>
 Hub-11: 5-5:5 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 05e3:0608 class-ID: 0900
 Device-1: 5-5.3:7 info: Cambridge Silicon Radio Bluetooth Dongle (HCI mode)
 type: Bluetooth driver: btusb interfaces: 2 rev: 2.0 speed: 12 Mb/s
 power: 100mA chip-ID: 0a12:0001 class-ID: e001
 Hub-12: 5-6:6 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 05e3:0608 class-ID: 0900
 Hub-13: 6-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-14: 7-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Device-1: 7-2:2 info: SanDisk Cruzer Micro Flash Drive type: Mass Storage
 driver: usb-storage interfaces: 1 rev: 2.0 speed: 480 Mb/s power: 200mA
 chip-ID: 0781:5151 class-ID: 0806 serial: <filter>
 Device-2: 7-4:3 info: ASUSTek AURA LED Controller type: HID
 driver: hid-generic,usbhid interfaces: 2 rev: 2.0 speed: 12 Mb/s power: 16mA
 chip-ID: 0b05:18f3 class-ID: 0300 serial: <filter>
 Hub-15: 8-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-16: 9-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-17: 9-1:2 info: Terminus FE 2.1 7-port Hub ports: 7 rev: 2.0
 speed: 480 Mb/s power: 100mA chip-ID: 1a40:0201 class-ID: 0900
 Device-1: 9-1.1:4 info: Sunplus Innovation Gaming mouse [Philips SPK9304]
 type: Mouse driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 1.5 Mb/s
 power: 98mA chip-ID: 1bcf:08a0 class-ID: 0301
 Device-2: 9-1.5:6 info: Microdia Backlit Gaming Keyboard
 type: Keyboard,Mouse driver: hid-generic,usbhid interfaces: 2 rev: 2.0
 speed: 12 Mb/s power: 400mA chip-ID: 0c45:652f class-ID: 0301
 Device-3: 9-1.6:7 info: HUION H420 type: Mouse,HID driver: uclogic,usbhid
 interfaces: 3 rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 256c:006e
 class-ID: 0300
 Hub-18: 9-1.7:8 info: Terminus Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 1a40:0101 class-ID: 0900
 Device-1: 9-2:3 info: Microdia USB 2.0 Camera type: Video,Audio
 driver: snd-usb-audio,uvcvideo interfaces: 4 rev: 2.0 speed: 480 Mb/s
 power: 500mA chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Device-2: 9-4:11 info: VKB-Sim © Alex Oz 2021 VKBsim Gladiator EVO L
 type: HID driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 12 Mb/s
 power: 500mA chip-ID: 231d:0201 class-ID: 0300
 Hub-19: 10-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
Sensors:
 System Temperatures: cpu: 38.0 C mobo: 41.0 C
 Fan Speeds (RPM): fan-1: 702 fan-2: 747 fan-3: 938 fan-4: 889 fan-5: 3132
 fan-6: 0 fan-7: 0
 GPU: device: nvidia screen: :0.0 temp: 49 C fan: 0% device: radeon
 temp: 53.0 C
Info:
 Processes: 842 Uptime: 3h 11m wakeups: 0 Init: systemd v: 252
 default: graphical tool: systemctl Compilers: gcc: 12.2.1 alt: 10/11
 clang: 15.0.7 Packages: 2158 pm: pacman pkgs: 2110 libs: 495 tools: pamac,yay
 pm: flatpak pkgs: 31 pm: snap pkgs: 17 Shell: Bash v: 5.1.16
 running-in: yakuake inxi: 3.3.25
</filter></filter></filter></filter></filter></filter></vendor></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></superuser>

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