plfit 0.9.4+ds-1ubuntu4 source package in Ubuntu
Changelog
plfit (0.9.4+ds-1ubuntu4) noble; urgency=medium * No-change rebuild for CVE-2024-3094 -- William Grant <email address hidden> Mon, 01 Apr 2024 15:38:20 +1100
Upload details
- Uploaded by:
- William Grant
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
plfit_0.9.4+ds.orig.tar.xz | 139.3 KiB | e109d70922b85c73d56593c2202163a78011fa3c6d4fa4474217b1c925bbc41b |
plfit_0.9.4+ds-1ubuntu4.debian.tar.xz | 11.6 KiB | 3f45b954654222dd3ea59be532fb68de623377c37c610557b2cfbbee6e949d27 |
plfit_0.9.4+ds-1ubuntu4.dsc | 2.3 KiB | ca1fa5c3600ab95e18089389b2cf5f802fa78b79e6d27b678b59ba8ef9b1f063 |
Available diffs
- diff from 0.9.4+ds-1ubuntu3 to 0.9.4+ds-1ubuntu4 (309 bytes)
Binary packages built by this source
- libplfit-dev: fitting power-law distributions to empirical data -- development
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package contains the header files, static libraries and symbolic
links that developers using the plfit library will need.
- libplfit0: fitting power-law distributions to empirical data -- library
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides the shared library required to run programs
compiled against the plfit library. To compile your own programs you
also need to install the libplfit-dev package.
- libplfit0-dbgsym: debug symbols for libplfit0
- plfit: fitting power-law distributions to empirical data -- interfaces
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides two command line utilities, plfit and plgen.
- plfit-dbgsym: debug symbols for plfit
- plfit-doc: fitting power-law distributions to empirical data -- doc
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides examples and data samples.
- python3-plfit: fitting power-law distributions to empirical data -- Python
The plfit software fits power-law distributions to empirical (discrete or
continuous) data, according to the method of Clauset, Shalizi and Newman
[SIAM Review 51, 661-703 (2009)].
.
This package provides a Python module.
- python3-plfit-dbgsym: debug symbols for python3-plfit