LEGEND Python Data Objects
Project description
legend-pydataobj
This package provides a Python implementation of the LEGEND Data Objects (LGDO) and I/O to HDF5, including Numba-accelerated custom compression algorithms for particle detector signals. More documentation is available in the LEGEND data format specification.
If you are using this software, consider citing!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file legend_pydataobj-1.17.4.tar.gz.
File metadata
- Download URL: legend_pydataobj-1.17.4.tar.gz
- Upload date:
- Size: 152.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
74d69a23183055f87897015c75dbe66b2e58be3789c5742cb2b8312a0f71ce2c
|
|
| MD5 |
b25e014920e096cf178fb5bca23331da
|
|
| BLAKE2b-256 |
2cb8dd51d6866d2d0b16d4f7c3cbcd8e74b553ae9d0c0c81130b733622797418
|
Provenance
The following attestation bundles were made for legend_pydataobj-1.17.4.tar.gz:
Publisher:
distribution.yml on legend-exp/legend-pydataobj
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
legend_pydataobj-1.17.4.tar.gz -
Subject digest:
74d69a23183055f87897015c75dbe66b2e58be3789c5742cb2b8312a0f71ce2c - Sigstore transparency entry: 976528101
- Sigstore integration time:
-
Permalink:
legend-exp/legend-pydataobj@c69488aadb5a4a106182d1e7a13869eb43d7b1bb -
Branch / Tag:
refs/tags/v1.17.4 - Owner: https://github.com/legend-exp
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
distribution.yml@c69488aadb5a4a106182d1e7a13869eb43d7b1bb -
Trigger Event:
release
-
Statement type:
File details
Details for the file legend_pydataobj-1.17.4-py3-none-any.whl.
File metadata
- Download URL: legend_pydataobj-1.17.4-py3-none-any.whl
- Upload date:
- Size: 124.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3a4636307149065ef3ebed07eb7bc93643201d21ec589aa494929f699e5d28d2
|
|
| MD5 |
8f27ed7312d9647991ad22b5bcda869d
|
|
| BLAKE2b-256 |
7ff792ddab5f1a7fdb1e4f8ed43b07462d4498cc7062fae5b15462d64091515e
|
Provenance
The following attestation bundles were made for legend_pydataobj-1.17.4-py3-none-any.whl:
Publisher:
distribution.yml on legend-exp/legend-pydataobj
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
legend_pydataobj-1.17.4-py3-none-any.whl -
Subject digest:
3a4636307149065ef3ebed07eb7bc93643201d21ec589aa494929f699e5d28d2 - Sigstore transparency entry: 976528103
- Sigstore integration time:
-
Permalink:
legend-exp/legend-pydataobj@c69488aadb5a4a106182d1e7a13869eb43d7b1bb -
Branch / Tag:
refs/tags/v1.17.4 - Owner: https://github.com/legend-exp
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
distribution.yml@c69488aadb5a4a106182d1e7a13869eb43d7b1bb -
Trigger Event:
release
-
Statement type:
