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| @echo off | |
| REM spleeter to convert to wav with 4 stems, convert to mp3 with minimal loss. | |
| spleeter separate -p spleeter:4stems -o output %1 | |
| SET _file=%1 | |
| SET _folder=%_file:.mp3=% | |
| SET _folder=%_folder:"=% | |
| ECHO %_folder% | |
| ffmpeg -vn -ar 44100 -ac 2 -b:a 192k "output\%_folder%\vocals.mp3" -i "output\%_folder%\vocals.wav" | |
| ffmpeg -vn -ar 44100 -ac 2 -b:a 192k "output\%_folder%\bass.mp3" -i "output\%_folder%\bass.wav" | |
| ffmpeg -vn -ar 44100 -ac 2 -b:a 192k "output\%_folder%\drums.mp3" -i "output\%_folder%\drums.wav" |
https://www.red-gate.com/simple-talk/blogs/sql-naming-conventions/
It helps greatly to start with a dictionary of the correct nouns and verbs associated with the application domain and use that.
If it proves inadequate, then the team can build on it.
If a data model has been created as part of the design phase, this dictionary should be an end-product of this work.
Don't tibble, no tbl_ or rpt_
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| SELECT name | |
| FROM sys.objects | |
| INNER JOIN | |
| ( | |
| VALUES ('ADD'), ('EXTERNAL'), ('PROCEDURE'), ('ALL'), ('FETCH'), | |
| ('PUBLIC'), ('ALTER'), ('FILE'), ('RAISERROR'), ('AND'), | |
| ('FILLFACTOR'), ('READ'), ('ANY'), ('FOR'), ('READTEXT'), ('AS'), | |
| ('FOREIGN'), ('RECONFIGURE'), ('ASC'), ('FREETEXT'), ('REFERENCES'), | |
| ('AUTHORIZATION'), ('FREETEXTTABLE'), ('REPLICATION'), ('BACKUP'), | |
| ('FROM'), ('RESTORE'), ('BEGIN'), ('FULL'), ('RESTRICT'), ('BETWEEN'), |
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| # Get-ChildItem -Recurse -Filter "*.bicep" | foreach { Test-BicepFile -Path $_.fullname } | |
| # https://github.com/Azure/bicep/issues/5828 | |
| $biceps = Get-ChildItem -Path . -Include "*.bicep" -r | |
| $errors = 0 | |
| $numberOfFiles = $biceps.Length | |
| foreach ($file in $biceps) { |
# Global user
git config --global user.name "Firstname lastname"
git config --global user.email [email protected]
# Local user
git config user.name=<user name>
git config user.email=<email>
git config credential.helper storeData Product Streaming Template
https://github.com/Azure/data-product-streaming
Data Product Batch
Pytest—Paramaterize tests with external data