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• Why is there an audio delay on recording video stream with ffmpeg ?

  25 décembre 2023, par mqwerty

  I am trying to record video and audio stream (Line in Microphone Analog Audio) which are streaming from broadcaster computer with those parameters in the recorder computer ;

  


  ffmpeg record parameters :

  


  /usr/bin/ffmpeg -y -buffer_size max -thread_queue_size 8192 -i udp://225.0.5.11:1026 -buffer_size max -thread_queue_size 8192 -i udp://225.0.5.11:1032 -map 0:v -map 1:a -metadata title=COMPUTER-01_metadata_file -metadata creation_time="2023-12-25 13:25:29" -threads 0 -c:v copy -c:a copy -movflags +faststart -f segment -segment_time 01:00:00 -segment_atclocktime 1 -reset_timestamps 1 -strftime 1 -segment_format mp4 -t 120 test_record_video_with_audio_%Y-%m-%d_%H-%M-%S.mp4


  


  The ffmpeg started and finished successfully, but when I open the recorded video with mpv like (mpv test_record_video_with_audio.mp4), I realized that there is a 5-6 seconds delay in audio. How can I prevent the delay of audio in the recorded mp4 file without using offset ? My last option is setting offset but I think that it is not safe according to any changes in network or etc.

  


  FFMPEG version on both computer :

  


  ffmpeg version 4.2.9 Copyright (c) 2000-2023 the FFmpeg developers
built with gcc 8 (GCC)


  


  BROADCASTER COMPUTER :

  


  sysctl.conf :

  


  No added configurations.


  


  ethtool output :

  


  Supported ports: [ TP ]
Supported link modes:   100baseT/Full
                        1000baseT/Full
                        10000baseT/Full
                        2500baseT/Full
                        5000baseT/Full
Supported pause frame use: Symmetric
Supports auto-negotiation: Yes
Supported FEC modes: Not reported
Advertised link modes:  100baseT/Full
                        1000baseT/Full
                        10000baseT/Full
Advertised pause frame use: Symmetric
Advertised auto-negotiation: Yes
Advertised FEC modes: Not reported
Speed: 10000Mb/s
Duplex: Full
Auto-negotiation: on
Port: Twisted Pair
PHYAD: 0
Transceiver: internal
MDI-X: Unknown
Supports Wake-on: d
Wake-on: d
    Current message level: 0x00000007 (7)
                           drv probe link
Link detected: yes


  


  ffmpeg video stream :

  


  ffmpeg -fflags +genpts -f x11grab -framerate 30 -video_size uhd2160 -i :0 -c:v hevc_nvenc -preset fast -pix_fmt bgr0 -b:v 3M -g 25 -an -f mpegts udp://225.0.5.11:1026


  


  ffmpeg audio stream :

  


  ffmpeg -f alsa -i hw:0,0 -c:a aac -ar 48000 -b:a 1024K -ab 512k -f rtp_mpegts rtp://225.0.5.11:1032


  


  nvidia-smi :

  


  | NVIDIA-SMI 535.129.03             Driver Version: 535.129.03   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA T400 4GB                Off | 00000000:5B:00.0 Off |                  N/A |
| 38%   38C    P8              N/A /  31W |    207MiB /  4096MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   1  NVIDIA RTX A4000               Off | 00000000:9E:00.0 Off |                  Off |
| 41%   59C    P2              41W / 140W |    766MiB / 16376MiB |     17%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|    0   N/A  N/A      3227      G   /usr/libexec/Xorg                           114MiB |
|    0   N/A  N/A      3423      G   /usr/bin/gnome-shell                         87MiB |
|    1   N/A  N/A      3227      G   /usr/libexec/Xorg                           285MiB |
|    1   N/A  N/A      3423      G   /usr/bin/gnome-shell                         91MiB |
|    1   N/A  N/A      3762      C   ffmpeg                                      372MiB |
+---------------------------------------------------------------------------------------+


  


  lscpu output :

  


  

Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              96
On-line CPU(s) list: 0-95
Thread(s) per core:  2
Core(s) per socket:  24
Socket(s):           2
NUMA node(s):        2
Vendor ID:           GenuineIntel
BIOS Vendor ID:      Intel(R) Corporation
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Gold 5220R CPU @ 2.20GHz
BIOS Model name:     Intel(R) Xeon(R) Gold 5220R CPU @ 2.20GHz
Stepping:            7
CPU MHz:             2200.000
CPU max MHz:         4000.0000
CPU min MHz:         1000.0000
BogoMIPS:            4400.00
Virtualization:      VT-x
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            36608K
NUMA node0 CPU(s):   0-23,48-71
NUMA node1 CPU(s):   24-47,72-95


  


  OS : CentOS Stream release 8


  


  RECORDER COMPUTER :

  


  sysctl.conf :

  


  net.core.rmem_max=16777216
net.core.wmem_max=16777216
net.ipv4.tcp_rmem= 4096 87380 16777216
net.ipv4.tcp_wmem= 4096 65536 16777216
net.ipv4.tcp_window_scaling = 1
net.ipv4.tcp_timestamps = 1
net.ipv4.tcp_sack = 1
net.ipv4.tcp_no_metrics_save = 0
net.core.netdev_max_backlog = 50000
net.core.optmem_max=25165824


  


  lscpu output :

  


  Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              96
On-line CPU(s) list: 0-95
Thread(s) per core:  2
Core(s) per socket:  24
Socket(s):           2
NUMA node(s):        2
Vendor ID:           GenuineIntel
BIOS Vendor ID:      Intel
CPU family:          6
Model:               106
Model name:          Intel(R) Xeon(R) Gold 5318Y CPU @ 2.10GHz
BIOS Model name:     Intel(R) Xeon(R) Gold 5318Y CPU @ 2.10GHz
Stepping:            6
CPU MHz:             3400.000
CPU max MHz:         3400.0000
CPU min MHz:         800.0000
BogoMIPS:            4200.00
Virtualization:      VT-x
L1d cache:           48K
L1i cache:           32K
L2 cache:            1280K
L3 cache:            36864K


  


  ethtool output :

  


  Supported ports: [ TP ]
    Supported link modes:   1000baseT/Full
                            10000baseT/Full
    Supported pause frame use: Symmetric Receive-only
    Supports auto-negotiation: Yes
    Supported FEC modes: Not reported
    Advertised link modes:  1000baseT/Full
                            10000baseT/Full
    Advertised pause frame use: Symmetric
    Advertised auto-negotiation: Yes
    Advertised FEC modes: Not reported
    Speed: 10000Mb/s
    Duplex: Full
    Auto-negotiation: on
    Port: Twisted Pair
    PHYAD: 12
    Transceiver: internal
    MDI-X: Unknown
    Supports Wake-on: d
    Wake-on: d
        Current message level: 0x00002081 (8321)
                               drv tx_err hw
    Link detected: yes


  


  No NVIDIA Graphic Driver

  


  OS : CentOS Stream release 8


  


  I tried audio encoding while recording like :

  


  "-c:a", "aac",  
"-ar", "48000", 
"-b:a", "128k",


  


  I also tried :

  


  "aresample=async=1"



  


  Unfortunately,these did not have any improvements on preventing latency in audio.

  


• Cohort Analysis 101 : How-To, Examples & Top Tools

  13 novembre 2023, par Erin — Analytics Tips

  Imagine that a farmer is trying to figure out why certain hens are laying large brown eggs and others are laying average-sized white eggs.

  The farmer decides to group the hens into cohorts based on what kind of eggs they lay to make it easier to detect patterns in their day-to-day lives. After careful observation and analysis, she discovered that the hens laying big brown eggs ate more than the roost’s other hens.

  With this cohort analysis, the farmer deduced that a hen’s body weight directly corresponds to egg size. She can now develop a strategy to increase the body weight of her hens to sell more large brown eggs, which are very popular at the weekly farmers’ market.

  Cohort analysis has a myriad of applications in the world of web analytics. Like our farmer, you can use it to better understand user behaviour and reap the benefits of your efforts. This article will discuss the best practices for conducting an effective cohort analysis and compare the top cohort analysis tools for 2024. 

  What is cohort analysis ?

  By definition, cohort analysis refers to a technique where users are grouped based on shared characteristics or behaviours and then examined over a specified period.

  Think of it as a marketing superpower, enabling you to comprehend user behaviours, craft personalised campaigns and allocate resources wisely, ultimately resulting in improved performance and better ROI.

  Why does cohort analysis matter ?

  In web analytics, a cohort is a group of users who share a certain behaviour or characteristic. The goal of cohort analysis is to uncover patterns and compare the performance and behaviour of different cohorts over time.

  An example of a cohort is a group of users who made their first purchase during the holidays. By analysing this cohort, you could learn more about their behaviour and buying patterns. You may discover that this cohort is more likely to buy specific product categories as holiday gifts — you can then tailor future holiday marketing campaigns to include these categories. 

  Types of cohort analysis

  There are a few different types of notable cohorts : 

  1. Time-based cohorts are groups of users categorised by a specific time. The example of the farmer we went over at the beginning of this section is a great example of a time-based cohort.
  2. Acquisition cohorts are users acquired during a specific time frame, event or marketing channel. Analysing these cohorts can help you determine the value of different acquisition methods. 
  3. Behavioural cohorts consist of users who show similar patterns of behaviour. Examples include frequent purchases with your mobile app or digital content engagement. 
  4. Demographic cohorts share common demographic characteristics like age, gender, education level and income. 
  5. Churn cohorts are buyers who have cancelled a subscription/stopped using your service within a specific time frame. Analysing churn cohorts can help you understand why customers leave.
  6. Geographic cohorts are pretty self-explanatory — you can use them to tailor your marketing efforts to specific regions. 
  7. Customer journey cohorts are based on the buyer lifecycle — from acquisition to adoption to retention. 
  8. Product usage cohorts are buyers who use your product/service specifically (think basic users, power users or occasional users). 

  Best practices for conducting a cohort analysis 

  So, you’ve decided you want to understand your user base better but don’t know how to go about it. Perhaps you want to reduce churn and create a more engaging user experience. In this section, we’ll walk you through the dos and don’ts of conducting an effective cohort analysis. Remember that you should tailor your cohort analysis strategy for organisation-specific goals.

  

  1. Preparing for cohort analysis : 

  • • First, define specific goals you want your cohort analysis to achieve. Examples include improving conversion rates or reducing churn.
    • Choosing the right time frame will help you compare short-term vs. long-term data trends. 

  2. Creating effective cohorts : 

  • • Define your segmentation criteria — anything from demographics to location, purchase history or user engagement level. Narrowing in on your specific segments will make your cohort analysis more precise. 
    • It’s important to find a balance between cohort size and similarity. If your cohort is too small and diverse, you won’t be able to find specific behavioural patterns.

  3. Performing cohort analysis :

  • • • Study retention rates across cohorts to identify patterns in user behaviour and engagement over time. Pay special attention to cohorts with high retention or churn rates. 
      • Analysing cohorts can reveal interesting behavioural insights — how do specific cohorts interact with your website ? Do they have certain preferences ? Why ? 

  4. Visualising and interpreting data :

  • • Visualising your findings can be a great way to reveal patterns. Line charts can help you spot trends, while bar charts can help you compare cohorts.
    • Guide your analytics team on how to interpret patterns in cohort data. Watch for sudden drops or spikes and what they could mean. 

  5. Continue improving :

  • • User behaviour is constantly evolving, so be adaptable. Continuous tracking of user behaviour will help keep your strategies up to date. 
    • Encourage iterative analysis optimisation based on your findings. 

  

  The top cohort analysis tools for 2024

  In this section, we’ll go over the best cohort analysis tools for 2024, including their key features, cohort analysis dashboards, cost and pros and cons.

  1. Matomo

  

  Matomo is an open-source, GDPR-compliant web analytics solution that offers cohort analysis as a standard feature in Matomo Cloud and is available as a plugin for Matomo On-Premise. Pairing traditional web analytics with cohort analysis will help you gain even deeper insights into understanding user behaviour over time. 

  You can use the data you get from web analytics to identify patterns in user behaviour and target your marketing strategies to specific cohorts. 

  Key features

  • Matomo offers a cohorts table that lets you compare cohorts side-by-side, and it comes with a time series.
    • All core session and conversion metrics are also available in the Cohorts report.
  • Create custom segments based on demographics, geography, referral sources, acquisition date, device types or user behaviour. 
  • Matomo provides retention analysis so you can track how many users from a specific cohort return to your website and when. 
  • Flexibly analyse your cohorts with custom reports. Customise your reports by combining metrics and dimensions specific to different cohorts. 
  • Create cohorts based on events or interactions with your website. 
  • Intuitive, colour-coded data visualisation, so you can easily spot patterns.

  Pros

  • No setup is needed if you use the JavaScript tracker
  • You can fetch cohort without any limit
  • 100% accurate data, no AI or Machine Learning data filling, and without the use of data sampling

  Cons

  • Matomo On-Premise (self-hosted) is free, but advanced features come with additional charges
  • Servers and technical know-how are required for Matomo On-Premise. Alternatively, for those not ready for self-hosting, Matomo Cloud presents a more accessible option and starts at $19 per month.

  Price : 

  • Matomo Cloud : 21-day free trial, then starts at $19 per month (includes Cohorts).
  • Matomo On-Premise : Free to self-host ; Cohorts plugin : 30-day free trial, then $99 per year.

  2. Mixpanel

  

  Mixpanel is a product analytics tool designed to help teams better understand user behaviour. It is especially well-suited for analysing user behaviour on iOS and Android apps. It offers various cohort analytics features that can be used to identify patterns and engage your users. 

  Key features

  • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
  • Compare how different cohorts engage with your app with Mixpanel’s comparative analysis features.
  • Create interactive dashboards, charts and graphs to visualise data.
  • Mixpanel provides retention analysis tools to see how often users return to your product over time. 
  • Send targeted messages and notifications to specific cohorts to encourage user engagement, announce new features, etc. 
  • Track and analyse user behaviours within cohorts — understand how different types of users engage with your product.

  Pros

  • Easily export cohort analysis data for further analysis
  • Combined with Mixpanel reports, cohorts can be a powerful tool for improving your product

  Cons

  • With the free Mixpanel plan, you can’t save cohorts for future use
  • Enterprise-level pricing is expensive
  • Time-consuming cohort creation process

  Price : Free basic version. The growth version starts at £16/month.

  3. Amplitude

  

  Amplitude is another product analytics solution that can help businesses track user interactions across digital platforms. Amplitude offers a standard toolkit for in-depth cohort analysis.

  Key features

  • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
  • Conduct behavioural, time-based and retention analyses.
  • Create custom reports with custom data.
  • Segment cohorts further based on additional criteria and compare multiple cohorts side-by-side.

  Pros

  • Highly customisable and flexible
  • Quick and simple setup

  Cons

  • Steep learning curve — requires significant training 
  • Slow loading speed
  • High price point compared to other tools

  Price : Free basic version. Plus version starts at £40/month (billed annually).

  4. Kissmetrics

  

  Kissmetrics is a customer engagement automation platform that offers powerful analytics features. Kissmetrics provides behavioural analytics, segmentation and email campaign automation. 

  Key features

  • Create cohorts based on demographics, user behaviour, referral sources, events and specific time frames.
  • The user path tool provides path visualisation so you can identify common paths users take and spot abandonment points. 
  • Create and optimise conversion funnels.
  • Customise events, user properties, funnels, segments, cohorts and more.

  Pros

  • Powerful data visualisation options
  • Highly customisable

  Cons

  • Difficult to install
  • Not well-suited for small businesses
  • Limited integration with other tools

  Price : Starting at £21/month for 10k events (billed monthly).

  Improve your cohort analysis with Matomo

  When choosing a cohort analysis tool, consider factors such as the tool’s ease of integration with your existing systems, data accuracy, the flexibility it offers in defining cohorts, the comprehensiveness of reporting features, and its scalability to accommodate the growth of your data and analysis needs over time. Moreover, it’s essential to confirm GDPR compliance to uphold rigorous privacy standards. 

  If you’re ready to understand your user’s behaviour, take Matomo for a test drive. Paired with web analytics, this powerful combination can advance your marketing efforts. Start your 21-day free trial today — no credit card required.

• Stage-Whisper is not working because of missing files

  24 novembre 2023, par Tingtong

  I tried to install this here : https://github.com/Stage-Whisper/Stage-Whisper

  


  Once i put the audio file in it, it is still loading and loading but not transcribing it.

  


  So after that i checked the requirements and packages, if there is something missing and there is. I installed those here :

  


  Node (required for Electron)
Yarn (required for Electron)
Python 3.x (required for backend)
Rust (required for backend)
ffmpeg (required for backend)
Poetry (required for backend)


  


  I installed them with homebrew. There are some errors showing up, once i launch the electron programm with "yarn dev" : ERROR : "could not locate binding files"

  


  I also tried "poetry run python stagewhisper —input /path/to/audio/file.mp3", but got following message. Poetry could not find a pyproject.toml file in /Users/Administrator/Desktop/Stage-Whisper or its parents.

  


  Where do i have to put the file pyproject.toml and what do i have to write in it ?

  


  So i checked with brew info all tools which i need for Stage-Whisper. Screenshots :enter image description here
[enter image description here](https://i.stack.imgur.com/sirb3.png)

  


  What i tried was to update those packages/requirements which where missing, with "sudo port install requirementPackageName ". But after checking with brew info again, those parts are still missing. So does that actually work or do i have to install those missing stuff with homebrew ? I have Mac Mojave 10.14.6 and Homebrew 4.1.18 Version.

  


  I also got an error, while i installed those tools with homebrew :

  


  ERROR : You are using macOS 10.14.
We (and Apple) do not provide support for this old version. It is expected behaviour that some formulae will fail to build in this old version... etc

  


  Thank you for your help guys.

  


  Edit :

  


  


  yarn install v1.22.19 warning ../../../package.json : No license field
[1/4] 🔍 Resolving packages... [2/4] 🚚 Fetching packages... [3/4]
🔗 Linking dependencies... warning "@emotion/react >
@emotion/babel-plugin@11.10.2" has unmet peer dependency
"@babel/core@^7.0.0". warning "@emotion/react > @emotion/babel-plugin

  


  


  @babel/plugin-syntax-jsx@7.18.6" has unmet peer dependency "@babel/core@^7.0.0-0". warning " > autoprefixer@10.4.4" has unmet
peer dependency "postcss@^8.1.0". warning " >
eslint-config-airbnb@19.0.4" has unmet peer dependency
"eslint-plugin-react-hooks@^4.3.0".
[----------------------------------------------------------------------------------------------------------------------------------------------------------------------------] 0/890^[4/4] 🔨 Building fresh packages... [1/7] ⠁ better-sqlite3
[-/7] ⠁ waiting... [3/7] ⠁ sqlite3 [4/7] ⠁ esbuild error
/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/better-sqlite3 :
Command failed. Exit code : 1 Command : prebuild-install || npm run
build-release Arguments : Directory :
/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/better-sqlite3
Output : prebuild-install warn install No prebuilt binaries found
(target=20.9.0 runtime=node arch=x64 libc= platform=darwin)

  


  


  


  better-sqlite3@7.6.2 build-release
node-gyp rebuild —release

  


  


  gyp info it worked if it ends with ok gyp info using node-gyp@9.3.0
gyp info using node@20.9.0 | darwin | x64 gyp info find Python using
Python version 3.9.14 found at "/usr/local/bin/python3" gyp info spawn
/usr/local/bin/python3 gyp info spawn args [ gyp info spawn args
  
'/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/electron-rebuild/node_modules/node-gyp/gyp/gyp_main.py',
gyp info spawn args 'binding.gyp', gyp info spawn args '-f', gyp
info spawn args 'make', gyp info spawn args '-I', gyp info spawn
args
  
'/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/better-sqlite3/build/config.gypi',
gyp info spawn args '-I', gyp info spawn args
  
'/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/electron-rebuild/node_modules/node-gyp/addon.gypi',
gyp info spawn args '-I', gyp info spawn args
  
'/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/common.gypi',
gyp info spawn args '-Dlibrary=shared_library', gyp info spawn args
'-Dvisibility=default', gyp info spawn args
  
'-Dnode_root_dir=/Users/administrator/Library/Caches/node-gyp/20.9.0',
gyp info spawn args
  
'-Dnode_gyp_dir=/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/electron-rebuild/node_modules/node-gyp',
gyp info spawn args
  &#xA;'-Dnode_lib_file=/Users/administrator/Library/Caches/node-gyp/20.9.0/<(target_arch)/node.lib',&#xA;gyp info spawn args
  &#xA;'-Dmodule_root_dir=/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/better-sqlite3',&#xA;gyp info spawn args '-Dnode_engine=v8', gyp info spawn args
  &#xA;'—depth=.', gyp info spawn args '—no-parallel', gyp info spawn&#xA;args '—generator-output', gyp info spawn args 'build', gyp info&#xA;spawn args '-Goutput_dir=.' gyp info spawn args ] gyp info spawn&#xA;make gyp info spawn args [ 'BUILDTYPE=Release', '-C', 'build' ]
  &#xA;TOUCH ba23eeee118cd63e16015df367567cb043fed872.intermediate ACTION&#xA;deps_sqlite3_gyp_locate_sqlite3_target_copy_builtin_sqlite3&#xA;ba23eeee118cd63e16015df367567cb043fed872.intermediate TOUCH&#xA;Release/obj.target/deps/locate_sqlite3.stamp CC(target)&#xA;Release/obj.target/sqlite3/gen/sqlite3/sqlite3.o LIBTOOL-STATIC&#xA;Release/sqlite3.a CXX(target)&#xA;Release/obj.target/better_sqlite3/src/better_sqlite3.o In file&#xA;included from ../src/better_sqlite3.cpp:4 : In file included from&#xA;./src/better_sqlite3.lzz:11 : In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/node.h:73 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8.h:24 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-array-buffer.h:12 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-local-handle.h:12 :&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:465:30 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;SHARED_EXTERNAL_POINTER_TAGS(CHECK_SHARED_EXTERNAL_POINTER_TAGS)&#xA;^ /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:465:30 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:465:30 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:465:30 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:465:30 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;PER_ISOLATE_EXTERNAL_POINTER_TAGS(CHECK_NON_SHARED_EXTERNAL_POINTER_TAGS)&#xA;^ /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:466:35 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:693:61 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;static_assert(kJSObjectType + 1 == kFirstJSApiObjectType) ;&#xA;^&#xA;, "" /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:694:55 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;static_assert(kJSObjectType < kLastJSApiObjectType) ;&#xA;^&#xA;, "" /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-internal.h:695:63 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;static_assert(kFirstJSApiObjectType < kLastJSApiObjectType) ;&#xA;^&#xA;, "" In file included from ../src/better_sqlite3.cpp:4 : In file included from&#xA;./src/better_sqlite3.lzz:11 : In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/node.h:73 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8.h:24 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-array-buffer.h:13 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-object.h:9 :&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-maybe.h:106:45 :&#xA;error : no template named 'is_lvalue_reference_v' in namespace 'std' ;&#xA;did you mean 'is_lvalue_reference' ? template >&#xA; ^ &#xA;is_lvalue_reference /Library/Developer/CommandLineTools/usr/include/c++/v1/type_traits:780:50 :&#xA;note : 'is_lvalue_reference' declared here template struct&#xA;_LIBCPP_TEMPLATE_VIS is_lvalue_reference : public false_type {} ;&#xA;^ In file included from ../src/better_sqlite3.cpp:4 : In file included from&#xA;./src/better_sqlite3.lzz:11 : In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/node.h:73 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8.h:24 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-array-buffer.h:13 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-object.h:9 :&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-maybe.h:106:69 :&#xA;error : expected '(' for function-style cast or type construction
  &#xA;template >&#xA; ^ /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-maybe.h:123:43 :&#xA;error : no template named 'is_lvalue_reference_v' in namespace 'std' ;&#xA;did you mean 'is_lvalue_reference' ? template * = nullptr>&#xA; ^ &#xA;is_lvalue_reference /Library/Developer/CommandLineTools/usr/include/c++/v1/type_traits:780:50 :&#xA;note : 'is_lvalue_reference' declared here template struct&#xA;_LIBCPP_TEMPLATE_VIS is_lvalue_reference : public false_type {} ;&#xA;^ In file included from ../src/better_sqlite3.cpp:4 : In file included from&#xA;./src/better_sqlite3.lzz:11 : In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/node.h:73 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8.h:24 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-array-buffer.h:13 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-object.h:9 :&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-maybe.h:123:67 :&#xA;error : expected '(' for function-style cast or type construction&#xA;template * =&#xA;nullptr>&#xA; ^ In file included from ../src/better_sqlite3.cpp:4 : In file included from&#xA;./src/better_sqlite3.lzz:11 : In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/node.h:73 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8.h:33 :&#xA;In file included from&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-function.h:11 :&#xA;/Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-function-callback.h:151:66 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;kReturnValueDefaultValueIndex - kReturnValueIndex) ;&#xA;^&#xA;, "" /Users/administrator/Library/Caches/node-gyp/20.9.0/include/node/v8-function-callback.h:153:50 :&#xA;warning : static_assert with no message is a C++17 extension&#xA;[-Wc++17-extensions]&#xA;kIsolateIndex - kReturnValueIndex) ;&#xA;^&#xA;, "" ./src/util/macros.lzz:157:21 : error : no member named&#xA;'AccessorSignature' in namespace 'v8'&#xA;v8::AccessorSignature::New(isolate, recv)&#xA; ^ ./src/util/binder.lzz:37:51 : error : no member named 'CreationContext' in 'v8::Object'&#xA;v8::Local ctx = obj->CreationContext() ;&#xA; ^ 22 warnings and 6 errors generated. make : ***&#xA;[Release/obj.target/better_sqlite3/src/better_sqlite3.o] Error 1 rm&#xA;ba23eeee118cd63e16015df367567cb043fed872.intermediate gyp ERR ! build&#xA;error gyp ERR ! stack Error : make failed with exit code : 2 gyp ERR !&#xA;stack at ChildProcess.onExit&#xA;(/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/electron-rebuild/node_modules/node-gyp/lib/build.js:203:23)&#xA;gyp ERR ! stack at ChildProcess.emit (node:events:514:28) gyp ERR !&#xA;stack at ChildProcess._handle.onexit&#xA;(node:internal/child_process:294:12) gyp ERR ! System Darwin 18.7.0 gyp&#xA;ERR ! command "/usr/local/bin/node"&#xA;"/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/.bin/node-gyp"&#xA;"rebuild" "—release" gyp ERR ! cwd&#xA;/Users/administrator/Desktop/Stage-Whisper/electron/node_modules/better-sqlite3

  &#xA;

  &#xA;

  Same goes for the the "poetry install" command in the backend folder :

  &#xA;

  8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/build/onig_sys-3a9a2f947b5ad744/outwarning: variable does not need to be mutable --> tokenizers-lib/src/models/unigram/model.rs:265:21 | 265 |                 let mut target_node = &mut best_path_ends_at[key_pos]; |                     ----^^^^^^^^^^^ |                     | |                     help: remove thismut| = note:#[warn(unused_mut)]` on by default

  &#xA;

  warning : variable does not need to be mutable&#xA;—> tokenizers-lib/src/models/unigram/model.rs:282:21&#xA;|&#xA;282 | let mut target_node = &mut best_path_ends_at[starts_at + mblen] ;&#xA;| ----^^^^^^^^^^^&#xA;| |&#xA;| help : remove this mut

  &#xA;

  warning : variable does not need to be mutable&#xA;—> tokenizers-lib/src/pre_tokenizers/byte_level.rs:200:59&#xA;|&#xA;200 | encoding.process_tokens_with_offsets_mut(|(i, (token, mut offsets))| &#xA;| ----^^^^^^^&#xA;| |&#xA;| help : remove this mut

  &#xA;

  error : casting &T to &mut T is undefined behavior, even if the reference is unused, consider instead using an UnsafeCell&#xA;—> tokenizers-lib/src/models/bpe/trainer.rs:526:47&#xA;|&#xA;522 | let w = &words[*i] as *const _ as *mut _ ;&#xA;| -------------------------------- casting happend here&#xA;...&#xA;526 | let word : &mut Word = &mut (*w) ;&#xA;| ^^^^^^^^^&#xA;|&#xA;= note : #[deny(invalid_reference_casting)] on by default

  &#xA;

  warning : tokenizers (lib) generated 3 warnings&#xA;error : could not compile tokenizers (lib) due to previous error ; 3 warnings emitted

  &#xA;

  Caused by :&#xA;process didn't exit successfully : /Users/administrator/.rustup/toolchains/stable-x86_64-apple-darwin/bin/rustc --crate-name tokenizers --edition=2018 tokenizers-lib/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts,future-incompat --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C embed-bitcode=no --cfg 'feature="cached-path"' --cfg 'feature="clap"' --cfg 'feature="cli"' --cfg 'feature="default"' --cfg 'feature="http"' --cfg 'feature="indicatif"' --cfg 'feature="progressbar"' --cfg 'feature="reqwest"' -C metadata=cb36f9861d265e60 -C extra-filename=-cb36f9861d265e60 --out-dir /private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps -L dependency=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps --extern aho_corasick=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libaho_corasick-021885281f13d108.rmeta --extern cached_path=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libcached_path-767095c4d4a77107.rmeta --extern clap=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libclap-c92d2593d8a75e62.rmeta --extern derive_builder=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libderive_builder-833217c2af636976.dylib --extern dirs=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libdirs-f12e99ecd3a76eae.rmeta --extern esaxx_rs=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libesaxx_rs-b694f04df571686b.rmeta --extern indicatif=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libindicatif-39491a3282a24810.rmeta --extern itertools=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libitertools-b322e49e83853c17.rmeta --extern lazy_static=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/liblazy_static-28a96417d88df3c9.rmeta --extern log=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/liblog-937f94f366843d8a.rmeta --extern macro_rules_attribute=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libmacro_rules_attribute-d4d77bee9330e675.rmeta --extern onig=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libonig-7f9dab4334743bdf.rmeta --extern paste=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libpaste-a36a4a0dbc2ac63f.dylib --extern rand=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/librand-4b1adc86e35ea892.rmeta --extern rayon=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/librayon-d134e48f83d52e6e.rmeta --extern rayon_cond=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/librayon_cond-5715a923c66c54a9.rmeta --extern regex=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libregex-a5c54f2d0034ab98.rmeta --extern regex_syntax=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libregex_syntax-58c405f62323b6ed.rmeta --extern reqwest=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libreqwest-1551c89d20e17f58.rmeta --extern serde=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libserde-f4748cc953dd1338.rmeta --extern serde_json=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libserde_json-5fba404e8440399e.rmeta --extern spm_precompiled=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libspm_precompiled-6bd24072bd3c9d31.rmeta --extern thiserror=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libthiserror-bcbb2769006ee534.rmeta --extern unicode_normalization_alignments=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libunicode_normalization_alignments-658520cf6a5461dc.rmeta --extern unicode_segmentation=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libunicode_segmentation-fffd829ab6256bb0.rmeta --extern unicode_categories=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/deps/libunicode_categories-e3815c3d18c1086b.rmeta -L native=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/build/bzip2-sys-d2cb72d65b178690/out/lib -L native=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/build/zstd-sys-ddff0154a55a136c/out -L native=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/build/esaxx-rs-69d9e34a40d41449/out -L native=/private/var/folders/zc/c2qvlcjd5cgcg5l84484t8vh0000gt/T/tmp2yohvwu_/tokenizers-0.12.1/target/release/build/onig_sys-3a9a2f947b5ad744/out (exit status : 1)&#xA;error : cargo rustc --lib --message-format=json-render-diagnostics --manifest-path Cargo.toml --release -v --features pyo3/extension-module --crate-type cdylib -- -C 'link-args=-undefined dynamic_lookup -Wl,-install_name,@rpath/tokenizers.cpython-311-darwin.so' failed with code 101

  &#xA;

  at /usr/local/lib/python3.11/site-packages/poetry/installation/chef.py:166 in _prepare&#xA;162│&#xA;163│ error = ChefBuildError("\n\n".join(message_parts))&#xA;164│&#xA;165│ if error is not None :&#xA;→ 166│ raise error from None&#xA;167│&#xA;168│ return path&#xA;169│&#xA;170│ def _prepare_sdist(self, archive : Path, destination : Path | None = None) -> Path :

  &#xA;

  Note : This error originates from the build backend, and is likely not a problem with poetry but with tokenizers (0.12.1) not supporting PEP 517 builds. You can verify this by running 'pip wheel —no-cache-dir —use-pep517 "tokenizers (==0.12.1)"'.

  &#xA;

  UPDATE (SOLVED) :

  &#xA;

  &#xA;
  • i found a solution and this worked for me :

  &#xA;

  &#xA;

  "I had the same problem and nothing mentioned here worked for me. Here is what worked for me :

  &#xA;

  **("Didnt do this Part")"Require all dependencies you need in the main.js file that is run by electron."**    


  &#xA;

  What i did was :&#xA;Run npm i -D electron-rebuild to add the electron-rebuild package&#xA;Remove the node-modules folder, as well as the packages-lock.json file.&#xA;Run npm i to install all modules.&#xA;Run ./node_modules/.bin/electron-rebuild (.\node_modules.bin\electron-rebuild.cmd for Windows) to rebuild everything

  &#xA;

  It is very important to run ./node_modules/.bin/electron-rebuild directly after npm i otherwise it did not work on my mac."

  &#xA;

  But now i get following Error, when i upload and transcribe the file :

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  > [ELECTRON] NewEntry: Creating new entry with UUID: XY...&#xA;[ELECTRON] NewEntry: Copying audio file to store...&#xA;[ELECTRON] NewEntry: Audio file copied to store.&#xA;[ELECTRON] NewEntry: Entry added to database!&#xA;[ELECTRON] RunWhisper: Running model with args [&#xA;[ELECTRON]   &#x27;--verbose&#x27;,&#xA;[ELECTRON]   &#x27;true&#x27;,&#xA;[ELECTRON]   &#x27;--output_dir&#x27;,&#xA;[ELECTRON]   &#x27;/Users/administrator/Library/Application Support/stagewhisper/store/whisper/2a07203b-ad88-438c-babf-b600cb76aa1d&#x27;,&#xA;[ELECTRON]   &#x27;--task&#x27;,&#xA;[ELECTRON]   &#x27;translate&#x27;,&#xA;[ELECTRON]   &#x27;--model&#x27;,&#xA;[ELECTRON]   &#x27;base&#x27;,&#xA;[ELECTRON]   &#x27;--device&#x27;,&#xA;[ELECTRON]   &#x27;cpu&#x27;,&#xA;[ELECTRON]   &#x27;--input&#x27;,&#xA;[ELECTRON]   &#x27;/Users/administrator/Library/Application Support/stagewhisper/store/audio/harvard.mp3&#x27;&#xA;[ELECTRON] ]&#xA;[ELECTRON] RunWhisper: Child process closed with code 1&#xA;[ELECTRON] RunWhisper: Error running whisper script!&#xA;[ELECTRON] Error occurred in handler for &#x27;run-whisper&#x27;: Error: Error running whisper script!&#xA;[ELECTRON]     at ChildProcess.<anonymous> (/Users/administrator/Desktop/Stage-Whisper/electron/main/handlers/runWhisper/runWhisper.js:234:31)&#xA;[ELECTRON]     at ChildProcess.emit (node:events:390:28)&#xA;[ELECTRON]     at maybeClose (node:internal/child_process:1064:16)&#xA;[ELECTRON]     at Socket.<anonymous> (node:internal/child_process:450:11)&#xA;[ELECTRON]     at Socket.emit (node:events:390:28)&#xA;[ELECTRON]     at Pipe.<anonymous> (node:net:687:12)&#xA;&#xA; &#xA;</anonymous></anonymous></anonymous>

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