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python-mrcfile package

python-mrcfile 1.4.3-2 source package in Ubuntu

Changelog

python-mrcfile (1.4.3-2) unstable; urgency=medium

  * Team upload
  * Use secure copyright file specification URI.
  * Set debhelper-compat version in Build-Depends.
  * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository, Repository-Browse.
  * Update standards version to 4.6.1, no changes needed.
  * wrap-and-sort -ast
  * use dh-sequence-[python3|sphinxdoc]

 -- Picca Frédéric-Emmanuel <email address hidden>  Fri, 07 Oct 2022 12:35:24 +0200

Upload details

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

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Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-mrcfile_1.4.3-2.dsc 2.1 KiB 33e837992e3b0567193ebfb1d16da0f54133aed6b2500f8fcf0e257fad25b857
python-mrcfile_1.4.3.orig.tar.gz 141.3 MiB 0c2c702167c50c8b67e4ff7b1ec825a6bb60c0bff388950af08c79c5fd49e28b
python-mrcfile_1.4.3-2.debian.tar.xz 3.6 KiB 6c09734ba09b83863b404096ba856a9c761a21d22d09059e6e21599c6e6c491a

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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