Ubuntu
pprofile package

pprofile 2.0.2-1 source package in Ubuntu

Changelog

pprofile (2.0.2-1) unstable; urgency=medium

  * New upstream release. (2.0.2-1)
  * Bump Standards Version to 4.3.0, no changes were required.

 -- Josue Ortega <email address hidden>  Thu, 27 Dec 2018 12:18:09 -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

Builds

Disco: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pprofile_2.0.2-1.dsc 1.9 KiB 6413d580815ac6d701832a98bebdb86c4d091a3f545c1d9b180f9a286596a0fe
pprofile_2.0.2.orig.tar.gz 32.4 KiB c3ec58f43a312f6780820f7c52d2cbd551484327c67b114aee3a4dfd87091428
pprofile_2.0.2-1.debian.tar.xz 3.3 KiB f7b0177b1c2add078491b5e8aa12c5557f788584fcfd2e5df9bcabd03ba3b768

Available diffs

No changes file available.

Binary packages built by this source

python-pprofile: No summary available for python-pprofile in ubuntu focal.

No description available for python-pprofile in ubuntu focal.

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.