Ubuntu
python-mrcfile package

python-mrcfile 1.5.4-2 source package in Ubuntu

Changelog

python-mrcfile (1.5.4-2) unstable; urgency=medium

  * Team Upload
  * New upstream version 1.5.4
  * Add Vcs-Browser & Vcs-Git tags

 -- Alexandre Detiste <email address hidden>  Fri, 07 Feb 2025 15:29:38 +0100

Upload details

Uploaded by:
Debian PaN Maintainers
Uploaded to:
Sid
Original maintainer:
Debian PaN Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Questing release universe misc
Plucky release universe misc

Builds

Plucky: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-mrcfile_1.5.4-2.dsc 2.2 KiB b66f36859573812e7eac89c3cfbf21214c0f561bc12baa47e2e865ad19b123c9
python-mrcfile_1.5.4.orig.tar.gz 49.6 MiB 16d8f3dc15dbf5fc0fbe55accad9de053dd2ac8d065a1160ac781cad94a0beef
python-mrcfile_1.5.4-2.debian.tar.xz 5.5 KiB 71d935c592cc1565d7cda4a5a429a5013e4ede30c930b82a8cc19ee99dc12f98

Available diffs

No changes file available.

Binary packages built by this source

python3-mrcfile: Python implementation of the MRC2014 file format

 mrcfile is a Python implementation of the MRC2014 file format, which
 is used in structural biology to store image and volume data.
 .
 It allows MRC files to be created and opened easily using a very
 simple API, which exposes the file's header and data as numpy
 arrays. The code runs in Python 2 and 3 and is fully unit-tested.
 .
 This library aims to allow users and developers to read and write
 standard-compliant MRC files in Python as easily as possible, and
 with no dependencies on any compiled libraries except numpy. You can
 use it interactively to inspect files, correct headers and so on, or
 in scripts and larger software packages to provide basic MRC file I/O
 functions.
 .
 Key Features:
 .
  * Clean, simple API for access to MRC files
  * Easy to install and use
  * Validation of files according to the MRC2014 format
  * Seamless support for gzip and bzip2 files
  * Memory-mapped file option for fast random access to very large files
  * Asynchronous opening option for background loading of multiple files
  * Runs in Python 2 & 3, on Linux, Mac OS X and Windows