distpy
An Open Source python module for rapid prototyping Distributed Acoustic Sensing (DAS) processing flows.
It provides massively parallel and scalable DAS interpretation using self-describing branched networks.
See the Wiki pages for information on installing, using and developing distpy
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Release files for distpy 1.32.3
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 | Actions |
|---|---|---|---|---|
| distpy-1.32.3.tar.gz | 67.1 kB | Without provenance | Details for distpy-1.32.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| distpy-1.32.3-py3-none-any.whl | Python 3 | none | any | Details for distpy-1.32.3-py3-none-any.whl |
Total release size: 146.5 kB
Release files / distpy-1.32.3.tar.gz
| Download URL | distpy-1.32.3.tar.gz |
|---|---|
| Size | 67.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.6
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Release files / distpy-1.32.3-py3-none-any.whl
| Download URL | distpy-1.32.3-py3-none-any.whl |
|---|---|
| Size | 79.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.6
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Security for distpy 1.32.3
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