| Port details |
- py-dataclass-array Dataclasses that behave like numpy arrays (with indexing, slicing, vectorization)
- 1.5.2 devel
 =0      1.5.1Version of this port present on the latest quarterly branch.  IGNORE: requires Python 3.11+
- Maintainer: sunpoet@FreeBSD.org
- Port Added: 2023-08-16 18:33:47
- Last Update: 2024-03-31 03:06:22
- Commit Hash: 1068b1f
- 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.
- 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
- We doubt a package is available for this port because we see it marked as as:
-
Packages are normally not provided for ports that are marked as above.
- To add the package, run one of these commands:
- pkg install devel/py-dataclass-array
- pkg install py39-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 py39-dataclass-array listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py39-dataclass-array
- Package flavors (<flavor>: <package>)
- py39: py39-dataclass-array
- distinfo:
- TIMESTAMP = 1711466126
SHA256 (dataclass_array-1.5.2.tar.gz) = 39343847138c9c4aced96fb4b31dea48b7f2f73b257b01282a5cba6fd8107b94
SIZE (dataclass_array-1.5.2.tar.gz) = 34785
No package information for this port in our database- Sometimes this happens. Not all ports have packages.
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py39-flit-core>=3.8<4 : devel/py-flit-core@py39
- python3.9 : lang/python39
- py39-build>=0 : devel/py-build@py39
- py39-installer>=0 : devel/py-installer@py39
- Test dependencies:
-
- python3.9 : lang/python39
- Runtime dependencies:
-
- py39-einops>=0 : misc/py-einops@py39
- py39-etils>=0 : devel/py-etils@py39
- py39-lark>=0 : devel/py-lark@py39
- py39-numpy>=0,1 : math/py-numpy@py39
- py39-typing-extensions>=0 : devel/py-typing-extensions@py39
- python3.9 : lang/python39
- There are no ports dependent upon this port
Configuration Options:- No options to configure
- Options name:
- devel_py-dataclass-array
- USES:
- python
- 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
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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