Overview
This simple library is a pydantic + pydantic-xml data model for Adobe Audition .sesx project files.
It strives to offer full read/write compatibility with the full SESX file format, enabling easier automation and scripting around project files without risking breaking those project files.
Installation
pip install pydantic_adobe_audition
Usage
from pathlib import Path
from pydantic_adobe_audition import Sesx
# Read data
sesx_content = Path("to/project.sesx").read_text()
project = Sesx.from_xml(sesx_content)
# Write data
sesx_content = project.to_xml()
Path("to/project.output.sesx").write_text(sesx_content)
Metadata
Release files for pydantic-adobe-audition 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pydantic_adobe_audition-0.1.1.tar.gz | 121.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydantic_adobe_audition-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 136.0 kB
Release files / pydantic_adobe_audition-0.1.1.tar.gz
| Download URL | pydantic_adobe_audition-0.1.1.tar.gz |
|---|---|
| Size | 121.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7ca09b62442ad3208660eaccce4e9741ce0ad6c0f3ebfd9f7f8aa1e12c2534f7
|
|
BLAKE2b-256 checksum How to use checksums |
51ee231b7d18c43aa0edf6861e822010d23821259b575fcc5849d745f5d1ee03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.3
|
Release files / pydantic_adobe_audition-0.1.1-py3-none-any.whl
| Download URL | pydantic_adobe_audition-0.1.1-py3-none-any.whl |
|---|---|
| Size | 14.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3fbbcf8097d04ef4461d3b5142b8f90d3dc3db377e9abb6d97e1916bd14cede4
|
|
BLAKE2b-256 checksum How to use checksums |
0af3b51834860168fd1c8f4715b6fc599a23177cf2951be54c96f6a5268a433c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.3
|
Security for pydantic-adobe-audition 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.