pprofile 2.0.5-1 source package in Ubuntu


pprofile (2.0.5-1) unstable; urgency=medium

  * New upstream release (2.0.5):
    + Refresh debian/patches
  * Bump debhelper-compat to 13
  * debian/watch: Bump file standard version to 4
  * Bump Standards-Version to 4.5.1. No changes required
  * debian/control: Document Rules-Requires-Root as no

 -- Josue Ortega <email address hidden>  Sat, 23 Jan 2021 11:22:19 -0600

Upload details

Uploaded by:
Josue Ortega
Uploaded to:
Original maintainer:
Josue Ortega
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Impish release universe misc
Hirsute release universe misc


Hirsute: [FULLYBUILT] amd64


File Size SHA-256 Checksum
pprofile_2.0.5-1.dsc 1.9 KiB 217f140dea4ae08f7c4dc44e26184651ef9f965b51785fdfec4eacc8715399d7
pprofile_2.0.5.orig.tar.gz 53.2 KiB 5b6f9b602cf61c9a719e3135c3ec00ac88d3ce39d63eab5cb0cfc71b02f8d8a6
pprofile_2.0.5-1.debian.tar.xz 3.7 KiB c3f8539bf18598b72a5bffc1f47d28d9ffed754d2ae3762214fb11b188b6b06f

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.