plfit 0.9.3+ds-1ubuntu1 source package in Ubuntu

Changelog

plfit (0.9.3+ds-1ubuntu1) jammy; urgency=medium

  * use 64bit long double on s390x (LP: #1962311)

 -- Heinrich Schuchardt <email address hidden>  Fri, 25 Feb 2022 14:48:50 +0100

Upload details

Uploaded by:
Heinrich Schuchardt
Sponsored by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
plfit_0.9.3+ds.orig.tar.xz 138.7 KiB 34fe742b6d9c383ad6fe5bb82c489f54e81f38ecd4b2f4bb432763f3d0b32d89
plfit_0.9.3+ds-1ubuntu1.debian.tar.xz 11.4 KiB 581e9a0cf4ce40059ef39d04fadd88ce6af9c0c92d310b4c72183528d50195a1
plfit_0.9.3+ds-1ubuntu1.dsc 2.3 KiB 64008ebc310d4e462eb04d0428d0ce3e5344e1450f817a9dce1b2afa78ccc600

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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: No summary available for libplfit0 in ubuntu kinetic.

No description available for libplfit0 in ubuntu kinetic.

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