plfit 0.9.0+ds-2 source package in Ubuntu

Changelog

plfit (0.9.0+ds-2) unstable; urgency=medium

  * Debianization:
    - d/patches/*:
      - d/p/debianization.patch, specify Python version;
      - d/p/debianization-tests.patch, now just shorten the Python test;
    - d/rules, aesthetic change.

 -- Jerome Benoit <email address hidden>  Tue, 16 Nov 2021 14:07:40 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

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File Size SHA-256 Checksum
plfit_0.9.0+ds-2.dsc 2.9 KiB 4bd4169aa86ef73627f0ffaa36b8306138b92478e70ec13a90d37e47094d4599
plfit_0.9.0+ds.orig.tar.xz 138.1 KiB beb0942b60fcee4fd6f1675cd0307fbaf9f0994b8fdedb8d201162f6f6f63c07
plfit_0.9.0+ds-2.debian.tar.xz 11.3 KiB 27b7ecf295d450e5eaf756ff06c7ace792d10a228e8028f9cfcf8ba6d317a1ff

Available diffs

No changes file available.

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