plfit 0.9.4+ds-1ubuntu1~lunar1 source package in Ubuntu

Changelog

plfit (0.9.4+ds-1ubuntu1~lunar1) lunar; urgency=medium

  * Build for PPA

 -- Bryce Harrington <email address hidden>  Wed, 25 Jan 2023 20:33:49 +0000

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Uploaded by:
Bryce Harrington
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_0.9.4+ds.orig.tar.xz 139.3 KiB e109d70922b85c73d56593c2202163a78011fa3c6d4fa4474217b1c925bbc41b
plfit_0.9.4+ds-1ubuntu1~lunar1.debian.tar.xz 11.5 KiB 418c42aee001cb8bc8f882f8268f83cae4950e639382a71f21e71108f412fdc3
plfit_0.9.4+ds-1ubuntu1~lunar1.dsc 2.3 KiB bdaf1778d808cf3bf6193d2b8d96ee49087e0fe99df432c26fc170bd61dd54f0

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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