xrayutilities 1.7.1-2 source package in Ubuntu
Changelog
xrayutilities (1.7.1-2) unstable; urgency=medium * Corrected Profile nodocs -> nodoc * Bug fix: "Removal of the python3-*-dbg packages in sid/bookworm", thanks to Matthias Klose (Closes: #994386). -- Picca Frédéric-Emmanuel <email address hidden> Sun, 19 Sep 2021 14:54:46 +0200
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
xrayutilities_1.7.1-2.dsc | 2.8 KiB | 8fea81b248d45f65ce38ed1fd5838c94cc7311462dd4a111de08d13b00882042 |
xrayutilities_1.7.1.orig.tar.gz | 8.7 MiB | a2c5e7672b6b3e6152e2928bfabe58f5c2c8801df0f851dd37fd32a68fd45dd9 |
xrayutilities_1.7.1-2.debian.tar.xz | 4.8 KiB | 52707a40eac224955478d5564b89029ea0892f957fd4cfd4c97d06a0fc13c0e9 |
Available diffs
- diff from 1.7.1-1 to 1.7.1-2 (1.7 KiB)
No changes file available.
Binary packages built by this source
- python-xrayutilities-doc: X-rays data reduction and analysis (documentation)
xrayutilities is a collection of scripts used to analyze x-ray
diffraction data. It consists of a Python package and several
routines coded in C. It especially useful for the reciprocal space
conversion of diffraction data taken with linear and area detectors.
.
This package includes the manual in HTML format.
- python3-xrayutilities: X-rays data reduction and analysis (Python 3)
xrayutilities is a collection of scripts used to analyze X-rays
diffraction data. It consists of a Python package and several
routines coded in C. It especially useful for the reciprocal space
conversion of diffraction data taken with linear and area detectors.
.
This is the Python 3 version of the package.
- python3-xrayutilities-dbgsym: debug symbols for python3-xrayutilities
- xrayutilities: transitional package
This is a transitional package. It can safely be removed.