Ubuntu
pprofile package

pprofile 2.1.0-1 source package in Ubuntu

Changelog

pprofile (2.1.0-1) unstable; urgency=medium

  * New upstream release (2.1.0):
    + Refresn debian/patches. Removes obsolete command
      use_2to3. Closes: #997605
  * debian/watch: Update regex to use Github /tags endpoint.
  * Bump Standards-Version to 4.6.0. No changes required.

 -- Josue Ortega <email address hidden>  Mon, 01 Nov 2021 17:11:59 -0600

Upload details

Uploaded by:
Josue Ortega
Uploaded to:
Sid
Original maintainer:
Josue Ortega
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Noble release universe misc
Mantic release universe misc
Lunar release universe misc
Jammy release universe misc

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pprofile_2.1.0-1.dsc 1.9 KiB a7b51a472521be7b7bfab8aa736e34a930a5d760dd1bff33b90c23313f9f0bbf
pprofile_2.1.0.orig.tar.gz 54.2 KiB 6317954ddb9fca330e3c45766de6eae595b0e86071540e426832b2fd9764d276
pprofile_2.1.0-1.debian.tar.xz 3.7 KiB 67dd945ca248f6d4330c1e128ada9602f9c4b21067bb917139528c503d830feb

Available diffs

No changes file available.

Binary packages built by this source

python3-pprofile: Line-granularity, deterministic and statistic Python 3 profiler

 Line granularity allows locating precisely where time is spent in code.
 Thread awareness automatically propagates profiling to all threads (all
 threads in statistic mode, or threads spawned by profiled code in
 deterministic mode).
 .
 Deterministic profiling gives precise measures, but at a large speed
 cost (best used on minimal test scenario).
 .
 Statistic profiling gives rough measure, but has an extremely low
 overhead (suitable for live code profiling).
 .
 Does not require marking methods to profile, allowing non-method
 profiling (module imports, class & function declarations and other
 module-level code).
 .
 This package installs the library for Python 3.