plfit 0.9.4+ds-1ubuntu2 source package in Ubuntu

Changelog

plfit (0.9.4+ds-1ubuntu2) noble; urgency=medium

  * No-change rebuild with Python 3.12 as default

 -- Graham Inggs <email address hidden>  Fri, 19 Jan 2024 20:38:05 +0000

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

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File Size SHA-256 Checksum
plfit_0.9.4+ds.orig.tar.xz 139.3 KiB e109d70922b85c73d56593c2202163a78011fa3c6d4fa4474217b1c925bbc41b
plfit_0.9.4+ds-1ubuntu2.debian.tar.xz 11.5 KiB fe298e8d342901c618c339260b98e87d9f40b4e825f85f2fe9c906d84b39aca8
plfit_0.9.4+ds-1ubuntu2.dsc 2.3 KiB f004931505d5c3be1f3ce25204e81a5937a618146f0047b26882f1055b78b503

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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