plfit 0.9.3+ds-1ubuntu2 source package in Ubuntu

Changelog

plfit (0.9.3+ds-1ubuntu2) lunar; urgency=medium

  * No-change rebuild with Python 3.11 as default

 -- Graham Inggs <email address hidden>  Sun, 25 Dec 2022 20:30:49 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
plfit_0.9.3+ds.orig.tar.xz 138.7 KiB 34fe742b6d9c383ad6fe5bb82c489f54e81f38ecd4b2f4bb432763f3d0b32d89
plfit_0.9.3+ds-1ubuntu2.debian.tar.xz 11.4 KiB 24736d5e4b2da26390879df37fa25847e6884f225e6c617d2bb3b038c590a33c
plfit_0.9.3+ds-1ubuntu2.dsc 2.3 KiB ab2d4ff13ed3ba89f533449620a303678d7d9a442d3666db47b8490ac0aa48e9

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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: 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