dev-python/bitarray (gentoo)

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Install

Install this package:

emerge -a dev-python/bitarray

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/bitarray

Or alternatively:

emerge --autounmask-write -a dev-python/bitarray

Package Information

Description:
This module provides an object type which efficiently represents an array of booleans. Bitarrays are sequence types and behave very much like usual lists. Eight bits are represented by one byte in a contiguous block of memory. The user can select between two representations; little-endian and big-endian. Most of the functionality is implemented in C. Methods for accessing the machine representation are provided. This can be useful when bit level access to binary files is required, such as portable bitmap image files (.pbm). Also, when dealing with compressed data which uses variable bit length encoding, you may find this module useful.
Homepage:
https://github.com/ilanschnell/bitarray/ https://pypi.org/project/bitarray/
License:
PSF-2

Versions

Version EAPI Keywords Slot
3.8.1 8 ~amd64 ~arm ~arm64 ~x86 0
3.8.0 8 amd64 ~arm arm64 x86 0

Metadata

Description

Maintainers

Upstream

Raw Metadata XML
<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="project">
		<email>python@gentoo.org</email>
		<name>Python</name>
	</maintainer>
	<longdescription>
  This module provides an object type which efficiently represents an array of
  booleans. Bitarrays are sequence types and behave very much like usual lists.
  Eight bits are represented by one byte in a contiguous block of memory. The
  user can select between two representations; little-endian and big-endian.
  Most of the functionality is implemented in C. Methods for accessing the
  machine representation are provided. This can be useful when bit level access
  to binary files is required, such as portable bitmap image files (.pbm). Also,
  when dealing with compressed data which uses variable bit length encoding,
  you may find this module useful.
  </longdescription>
	<upstream>
		<remote-id type="pypi">bitarray</remote-id>
		<remote-id type="github">ilanschnell/bitarray</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

Manifest

Type File Size Versions
Unmatched Entries
Type File Size
DIST bitarray-3.8.0.tar.gz 151991 bytes
DIST bitarray-3.8.1.tar.gz 152471 bytes