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Port details
py-bitshuffle Bitshuffle filter for improving typed data compression
0.5.1 archivers on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 0.5.1Version of this port present on the latest quarterly branch.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2024-03-23 15:00:10
Last Update: 2024-03-23 14:30:36
Commit Hash: c8b4d6d
Also Listed In: python
License: MIT
WWW:
https://github.com/kiyo-masui/bitshuffle
Description:
Bitshuffle is an algorithm that rearranges typed, binary data for improving compression, as well as a python/C package that implements this algorithm within the Numpy framework. The library can be used along side HDF5 to compress and decompress datasets and is integrated through the dynamically loaded filters framework. Bitshuffle is HDF5 filter number 32008. Algorithmically, Bitshuffle is closely related to HDF5's Shuffle filter except it operates at the bit level instead of the byte level. Arranging a typed data array in to a matrix with the elements as the rows and the bits within the elements as the columns, Bitshuffle "transposes" the matrix, such that all the least-significant-bits are in a row, etc. This does not in itself compress data, only rearranges it for more efficient compression. To perform the actual compression you will need a compression library. Bitshuffle has been designed to be well matched to Marc Lehmann's LZF as well as LZ4 and ZSTD. Note that because Bitshuffle modifies the data at the bit level, sophisticated entropy reducing compression libraries such as GZIP and BZIP are unlikely to achieve significantly better compression than simpler and faster duplicate-string-elimination algorithms such as LZF, LZ4 and ZSTD. Bitshuffle thus includes routines (and HDF5 filter options) to apply LZ4 and ZSTD compression to each block after shuffling.
Homepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

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:
  • ${PYTHON_PKGNAMEPREFIX}bitshuffle>0:archivers/py-bitshuffle@${PY_FLAVOR}
To install the port:
cd /usr/ports/archivers/py-bitshuffle/ && make install clean
To add the package, run one of these commands:
  • pkg install archivers/py-bitshuffle
  • pkg install py39-bitshuffle
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-bitshuffle listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py39-bitshuffle
Package flavors (<flavor>: <package>)
  • py39: py39-bitshuffle
distinfo:
TIMESTAMP = 1710712300 SHA256 (bitshuffle-0.5.1.tar.gz) = 988f224739aa6858475a4c59172968c7b51cc657d2249580c8f96848708fbae3 SIZE (bitshuffle-0.5.1.tar.gz) = 229441

Packages (timestamps in pop-ups are UTC):
py311-bitshuffle
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest0.5.10.5.1--0.5.1---
FreeBSD:13:quarterly-0.5.1--0.5.1---
FreeBSD:14:latest0.5.10.5.1--0.5.1---
FreeBSD:14:quarterly-0.5.1--0.5.1---
FreeBSD:15:latest0.5.10.5.1n/a-n/a---
 

py39-bitshuffle
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest--------
FreeBSD:13:quarterly0.5.1-------
FreeBSD:14:latest--------
FreeBSD:14:quarterly0.5.1-------
FreeBSD:15:latest--n/a-n/a---
 

Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py39-h5py>=2.4.0 : science/py-h5py@py39
  2. py39-numpy>=0,1 : math/py-numpy@py39
  3. py39-setuptools>=0.7 : devel/py-setuptools@py39
  4. py39-wheel>=0 : devel/py-wheel@py39
  5. pkgconf>=1.3.0_1 : devel/pkgconf
  6. cython-3.9 : lang/cython@py39
  7. python3.9 : lang/python39
  8. py39-build>=0 : devel/py-build@py39
  9. py39-installer>=0 : devel/py-installer@py39
Test dependencies:
  1. python3.9 : lang/python39
Runtime dependencies:
  1. py39-h5py>=2.4.0 : science/py-h5py@py39
  2. py39-numpy>=1.6.1,1 : math/py-numpy@py39
  3. py39-setuptools>=0.7 : devel/py-setuptools@py39
  4. python3.9 : lang/python39
There are no ports dependent upon this port

Configuration Options:
No options to configure
Options name:
archivers_py-bitshuffle
USES:
pkgconfig python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/b/bitshuffle/
  2. https://pypi.org/packages/source/b/bitshuffle/
Collapse this list.

Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
0.5.1
23 Mar 2024 14:30:36
commit hash: c8b4d6d391f8967509242e2538efc7371def0026commit hash: c8b4d6d391f8967509242e2538efc7371def0026commit hash: c8b4d6d391f8967509242e2538efc7371def0026commit hash: c8b4d6d391f8967509242e2538efc7371def0026 files touched by this commit
Po-Chuan Hsieh (sunpoet) search for other commits by this committer
archivers/py-bitshuffle: Add py-bitshuffle 0.5.1

Bitshuffle is an algorithm that rearranges typed, binary data for improving
compression, as well as a python/C package that implements this algorithm within
the Numpy framework.

The library can be used along side HDF5 to compress and decompress datasets and
is integrated through the dynamically loaded filters framework. Bitshuffle is
HDF5 filter number 32008.

Algorithmically, Bitshuffle is closely related to HDF5's Shuffle filter except
it operates at the bit level instead of the byte level. Arranging a typed data
array in to a matrix with the elements as the rows and the bits within the
elements as the columns, Bitshuffle "transposes" the matrix, such that all the
least-significant-bits are in a row, etc.

This does not in itself compress data, only rearranges it for more efficient
compression. To perform the actual compression you will need a compression
library. Bitshuffle has been designed to be well matched to Marc Lehmann's LZF
as well as LZ4 and ZSTD. Note that because Bitshuffle modifies the data at the
bit level, sophisticated entropy reducing compression libraries such as GZIP and
BZIP are unlikely to achieve significantly better compression than simpler and
faster duplicate-string-elimination algorithms such as LZF, LZ4 and ZSTD.
Bitshuffle thus includes routines (and HDF5 filter options) to apply LZ4 and
ZSTD compression to each block after shuffling.

Number of commits found: 1