| Port details |
- py-dataclass-array Dataclasses that behave like numpy arrays (with indexing, slicing, vectorization)
- 1.5.2_2 devel
 =0      1.5.2Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2023-08-16 18:33:47
- Last Update: 2026-05-05 21:19:45
- Commit Hash: 01291f5
- Also Listed In: python
- License: APACHE20
- WWW:
- https://dataclass-array.readthedocs.io/en/latest/
- https://github.com/google-research/dataclass_array
- Description:
- DataclassArray are dataclasses which behave like numpy-like arrays (can be
batched, reshaped, sliced,...), compatible with Jax, TensorFlow, and numpy (with
torch support planned).
This reduce boilerplate and improve readability.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}dataclass-array>0:devel/py-dataclass-array@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/devel/py-dataclass-array/ && make install clean
- To add the package, run one of these commands:
- pkg install devel/py-dataclass-array
- pkg install py311-dataclass-array
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py311-dataclass-array listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py311-dataclass-array
- Package flavors (<flavor>: <package>)
- py311: py311-dataclass-array
- distinfo:
- TIMESTAMP = 1711466126
SHA256 (dataclass_array-1.5.2.tar.gz) = 39343847138c9c4aced96fb4b31dea48b7f2f73b257b01282a5cba6fd8107b94
SIZE (dataclass_array-1.5.2.tar.gz) = 34785
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py311-flit-core>=3.8<4 : devel/py-flit-core@py311
- python3.11 : lang/python311
- py311-build>=0 : devel/py-build@py311
- py311-installer>=0 : devel/py-installer@py311
- Test dependencies:
-
- python3.11 : lang/python311
- Runtime dependencies:
-
- py311-einops>=0 : misc/py-einops@py311
- py311-etils>=0 : devel/py-etils@py311
- py311-lark>=0 : devel/py-lark@py311
- py311-numpy>=0,1 : math/py-numpy@py311
- py311-typing-extensions>=0 : devel/py-typing-extensions@py311
- python3.11 : lang/python311
- There are no ports dependent upon this port
Configuration Options:- No options to configure
- Options name:
- devel_py-dataclass-array
- USES:
- python:3.11+
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
1.5.2_2
05 May 2026 21:19:45
 |
Po-Chuan Hsieh (sunpoet) |
*/py-*: Update version requirement of *_DEPENDS |
1.5.2_2
05 May 2026 19:29:37
|
Max Brazhnikov (makc) |
*/*: bump PORTREVISION after switching to NumPy 2.x |
1.5.2_1
05 May 2026 19:29:37
 |
Max Brazhnikov (makc) |
*/*: Switch to NumPy 2.x
PR: 294328
Exp-run: antoine |
1.5.2_1
03 Apr 2026 18:52:22
|
Charlie Li (vishwin) |
math/py-numpy: switch all consumers to math/py-numpy1
...and bump PORTREVISIONs of consumers with hard RUN_DEPENDS
PR: 281470 |
1.5.2
29 Apr 2025 12:42:31
|
Po-Chuan Hsieh (sunpoet) |
devel/py-lark: Remove ATOMIC_CACHE option
- Unmark DEPRECATED and remove EXPIRATION_DATE
- Unmark DEPRECATED and remove EXPIRATION_DATE of dependent ports
- Bump PORTREVISION for dependency change |
1.5.2
21 Apr 2025 16:05:18
|
Rene Ladan (rene) |
all: expire (indirect) consumers of devel/py-atomicwrites on 2025-06-21
Some ports are expiring via devel/py-lark, which has
devel/py-atomicwrites as an optional dependency. |
1.5.2
03 Jun 2024 02:38:09
|
Po-Chuan Hsieh (sunpoet) |
devel/py-dataclass-array: Use USES=python:3.11+ after python311 as default
(62a23ef0936e21fef507653054d6732bb7ef085f) |
1.5.2
31 Mar 2024 03:06:22
|
Po-Chuan Hsieh (sunpoet) |
devel/py-dataclass-array: Update to 1.5.2
Changes: https://github.com/google-research/dataclass_array/releases |
1.5.1
14 Dec 2023 20:45:10
|
Po-Chuan Hsieh (sunpoet) |
devel/py-dataclass-array: Update USES=python
devel/py-etils requires Python 3.10+ |
1.5.1
04 Sep 2023 21:30:09
|
Po-Chuan Hsieh (sunpoet) |
devel/py-dataclass-array: Update to 1.5.1
- Update WWW
Changes: https://github.com/google-research/dataclass_array/releases |
1.5.0
16 Aug 2023 18:25:05
|
Po-Chuan Hsieh (sunpoet) |
devel/py-dataclass-array: Add py-dataclass-array 1.5.0
DataclassArray are dataclasses which behave like numpy-like arrays (can be
batched, reshaped, sliced,...), compatible with Jax, TensorFlow, and numpy (with
torch support planned).
This reduce boilerplate and improve readability. |
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