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Install

Install this package:

emerge -a dev-python/blosc

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

autounmask dev-python/blosc

Or alternatively:

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

Package Information

Description:

blosc is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. This is the python wrapper.

Homepage:

https://blosc.org/ https://github.com/Blosc/python-blosc/ https://pypi.org/project/blosc/

License:

BSD

Versions

Metadata

Description

• blosc is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. This is the python wrapper.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Python (python@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • pypi: blosc
  • github: Blosc/python-blosc

<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 lang="en">
    blosc is a high performance compressor optimized for binary
    data. It has been designed to transmit data to the processor cache
    faster than the traditional, non-compressed, direct memory fetch
    approach via a memcpy() OS call. Blosc works well for compressing
    numerical arrays that contains data with relatively low entropy,
    like sparse data, time series, grids with regular-spaced values,
    etc. This is the python wrapper.
  </longdescription>
	<upstream>
		<remote-id type="pypi">blosc</remote-id>
		<remote-id type="github">Blosc/python-blosc</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'test' in ebuild 1.11.4 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild blosc-1.11.4

USE Flags

Manage flags for this package: euse -i <flag> -p dev-python/blosc | euse -E <flag> -p dev-python/blosc | euse -D <flag> -p dev-python/blosc

Manifest