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Médias (91)
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GetID3 - Boutons supplémentaires
9 avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
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Core Media Video
4 avril 2013, par
Mis à jour : Juin 2013
Langue : français
Type : Video
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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
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Exemple de boutons d’action pour une collection collaborative
27 février 2013, par
Mis à jour : Mars 2013
Langue : français
Type : Image
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Exemple de boutons d’action pour une collection personnelle
27 février 2013, par
Mis à jour : Février 2013
Langue : English
Type : Image
Autres articles (34)
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Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...) -
Emballe Médias : Mettre en ligne simplement des documents
29 octobre 2010, parLe plugin emballe médias a été développé principalement pour la distribution mediaSPIP mais est également utilisé dans d’autres projets proches comme géodiversité par exemple. Plugins nécessaires et compatibles
Pour fonctionner ce plugin nécessite que d’autres plugins soient installés : CFG Saisies SPIP Bonux Diogène swfupload jqueryui
D’autres plugins peuvent être utilisés en complément afin d’améliorer ses capacités : Ancres douces Légendes photo_infos spipmotion (...) -
Les formats acceptés
28 janvier 2010, parLes commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...)
Sur d’autres sites (3852)
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A Comprehensive Guide to Robust Digital Marketing Analytics
30 octobre 2023, par ErinFirst impressions are everything. This is not only true for dating and job interviews but also for your digital marketing strategy. Like a poorly planned resume getting tossed in the “no thank you” pile, 38% of visitors to your website will stop engaging with your content if they find the layout unpleasant. Thankfully, digital marketers can access data that can be harnessed to optimise websites and turn those “no thank you’s” into “absolutely’s.”
So, how can we transform raw data into valuable insights that pay off ? The key is web analytics tools that can help you make sense of it all while collecting data ethically. In this article, we’ll equip you with ways to take your digital marketing strategy to the next level with the power of web analytics.
What are the different types of digital marketing analytics ?
Digital marketing analytics are like a cipher into the complex behaviour of your buyers. Digital marketing analytics help collect, analyse and interpret data from any touchpoint you interact with your buyers online. Whether you’re trying to gauge the effectiveness of a new email marketing campaign or improve your mobile app layout, there’s a way for you to make use of the insights you gain.
As we go through the eight commonly known types of digital marketing analytics, please note we’ll primarily focus on what falls under the umbrella of web analytics.
- Web analytics help you better understand how users interact with your website. Good web analytics tools will help you understand user behaviour while securely handling user data.
- Learn more about the effectiveness of your organisation’s social media platforms with social media analytics. Social media analytics include user engagement, post reach and audience demographics.
- Email marketing analytics help you see how email campaigns are being engaged with.
- Search engine optimisation (SEO) analytics help you understand your website’s visibility in search engine results pages (SERPs).
- Pay-per-click (PPC) analytics measure the performance of paid advertising campaigns.
- Content marketing analytics focus on how your content is performing with your audience.
- Customer analytics helps organisations identify and examine buyer behaviour to retain the biggest spenders.
- Mobile app analytics track user interactions within mobile applications.
Choosing which digital marketing analytics tools are the best fit for your organisation is not an easy task. When making these decisions, it’s critical to remember the ethical implications of data collection. Although data insights can be invaluable to your organisation, they won’t be of much use if you lose the trust of your users.
Tips and best practices for developing robust digital marketing analytics
So, what separates top-notch, robust digital marketing analytics from the rest ? We’ve already touched on it, but a big part involves respecting user privacy and ethically handling data. Data security should be on your list of priorities, alongside conversion rate optimisation when developing a digital marketing strategy. In this section, we will examine best practices for using digital marketing analytics while retaining user trust.
Clear objectives
Before comparing digital marketing analytics tools, you should define clear and measurable goals. Try asking yourself what you need your digital marketing analytics strategy to accomplish. Do you want to improve conversion rates while remaining data compliant ? Maybe you’ve noticed users are not engaging with your platform and want to fix that. Save yourself time and energy by focusing on the most relevant pain points and areas of improvement.
Choose the right tools for the job
Don’t just base your decision on what other people tell you. Take the tool for a test drive — free trials allow you to test features and user interfaces and learn more about the platform before committing. When choosing digital marketing analytics tools, look for ones that ensure compliance with privacy laws like GDPR.
Don’t overlook data compliance
GDPR ensures organisations prioritise data protection and privacy. You could be fined up to €20 million, or 4% of the previous year’s revenue for violations. Without data compliance practices, you can say goodbye to the time and money spent on digital marketing strategies.
Don’t sacrifice data quality and accuracy
Inaccurate and low-quality data can taint your analysis, making it hard to glean valuable insights from your digital marketing analytics efforts. Regularly audit and clean your data to remove inaccuracies and inconsistencies. Address data discrepancies promptly to maintain the integrity of your analytics. Data validation measures also help to filter out inaccurate data.
Communicate your findings
Having insights is one thing ; effectively communicating complex data findings is just as important. Customise dashboards to display key metrics aligned with your objectives. Make sure to automate reports, allowing stakeholders to stay updated without manual intervention.
Understand the user journey
To optimise your conversion rates, you need to understand the user journey. Start by analysing visitors interactions with your website — this will help you identify conversion bottlenecks in your sales or lead generation processes. Implement A/B testing for landing page optimisation, refining elements like call-to-action buttons or copy, and leverage Form Analytics to make informed, data-driven improvements to your forms.
Continuous improvement
Learn from the data insights you gain, and iterate your marketing strategies based on the findings. Stay updated with evolving web analytics trends and technologies to leverage new growth opportunities.
Why you need web analytics to support your digital marketing analytics toolbox
You wouldn’t set out on a roadtrip without a map, right ? Digital marketing analytics without insights into how users interact with your website are just as useless. Used ethically, web analytics tools can be an invaluable addition to your digital marketing analytics toolbox.
The data collected via web analytics reveals user interactions with your website. These could include anything from how long visitors stay on your page to their actions while browsing your website. Web analytics tools help you gather and understand this data so you can better understand buyer preferences. It’s like a domino effect : the more you understand your buyers and user behaviour, the better you can assess the effectiveness of your digital content and campaigns.
Web analytics reveal user behaviour, highlighting navigation patterns and drop-off points. Understanding these patterns helps you refine website layout and content, improving engagement and conversions for a seamless user experience.
Concrete CMS harnessed the power of web analytics, specifically Form Analytics, to uncover a crucial insight within their user onboarding process. Their data revealed a significant issue : the “address” input field was causing visitors to drop off and not complete the form, severely impacting the overall onboarding experience and conversion rate.
Armed with these insights, Concrete CMS made targeted optimisations to the form, resulting in a substantial transformation. By addressing the specific issue identified through Form Analytics, they achieved an impressive outcome – a threefold increase in lead generation.
This case is a great example of how web analytics can uncover customer needs and preferences and positively impact conversion rates.
Ethical implications of digital marketing analytics
As we’ve touched on, digital marketing analytics are a powerful tool to help better understand online user behaviour. With great power comes great responsibility, however, and it’s a legal and ethical obligation for organisations to protect individual privacy rights. Let’s get into the benefits of practising ethical digital marketing analytics and the potential risks of not respecting user privacy :
- If someone uses your digital platform and then opens their email one day to find it filled with random targeted ad campaigns, they won’t be happy. Avoid losing user trust — and facing a potential lawsuit — by informing users what their data will be used for. Give them the option to consent to opt-in or opt-out of letting you use their personal information. If users are also assured you’ll safeguard personal information against unauthorised access, they’ll be more likely to trust you to handle their data securely.
- Protecting data against breaches means investing in technology that will let you end-to-end encrypt and securely store data. Other important data-security best practices include access control, backing up data regularly and network and physical security of assets.
- A fine line separates digital marketing analytics and misusing user data — many companies have gotten into big trouble for crossing it. (By big trouble, we mean millions of dollars in fines.) When it comes to digital marketing analytics, you should never cut corners when it comes to user privacy and data security. This balance involves understanding what data can be collected and what should be collected and respecting user boundaries and preferences.
Learn more
We discussed a lot of facets of digital marketing analytics, namely how to develop a robust digital marketing strategy while prioritising data compliance. With Matomo, you can protect user data and respect user privacy while gaining invaluable insights into user behaviour. Save your organisation time and money by investing in a web analytics solution that gives you the best of both worlds.
If you’re ready to begin using ethical and robust digital marketing analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.
Try Matomo for Free
21 day free trial. 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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