head	1.2;
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	pkgsrc-2026Q2:1.2.0.8
	pkgsrc-2026Q2-base:1.2
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locks; strict;
comment	@# @;


1.2
date	2025.08.22.07.14.14;	author adam;	state Exp;
branches;
next	1.1;
commitid	TRcjcRyF4sFbbH7G;

1.1
date	2025.04.22.11.26.52;	author adam;	state Exp;
branches;
next	;
commitid	3mzSQpoQlxKYu2SF;


desc
@@


1.2
log
@py-test-run-parallel: updated to 0.6.1

0.6.1
Fix thread-unsafe detection for indented tests
Run coverage externally to load before plugins
@
text
@@@comment $NetBSD: PLIST,v 1.1 2025/04/22 11:26:52 adam Exp $
${PYSITELIB}/${WHEEL_INFODIR}/METADATA
${PYSITELIB}/${WHEEL_INFODIR}/RECORD
${PYSITELIB}/${WHEEL_INFODIR}/WHEEL
${PYSITELIB}/${WHEEL_INFODIR}/entry_points.txt
${PYSITELIB}/${WHEEL_INFODIR}/licenses/LICENSE
${PYSITELIB}/${WHEEL_INFODIR}/top_level.txt
${PYSITELIB}/pytest_run_parallel/__init__.py
${PYSITELIB}/pytest_run_parallel/__init__.pyc
${PYSITELIB}/pytest_run_parallel/__init__.pyo
${PYSITELIB}/pytest_run_parallel/cpu_detection.py
${PYSITELIB}/pytest_run_parallel/cpu_detection.pyc
${PYSITELIB}/pytest_run_parallel/cpu_detection.pyo
${PYSITELIB}/pytest_run_parallel/plugin.py
${PYSITELIB}/pytest_run_parallel/plugin.pyc
${PYSITELIB}/pytest_run_parallel/plugin.pyo
${PYSITELIB}/pytest_run_parallel/thread_comparator.py
${PYSITELIB}/pytest_run_parallel/thread_comparator.pyc
${PYSITELIB}/pytest_run_parallel/thread_comparator.pyo
${PYSITELIB}/pytest_run_parallel/thread_unsafe_detection.py
${PYSITELIB}/pytest_run_parallel/thread_unsafe_detection.pyc
${PYSITELIB}/pytest_run_parallel/thread_unsafe_detection.pyo
${PYSITELIB}/pytest_run_parallel/utils.py
${PYSITELIB}/pytest_run_parallel/utils.pyc
${PYSITELIB}/pytest_run_parallel/utils.pyo
@


1.1
log
@py-test-run-parallel: added version 0.4.0

This pytest plugin takes a set of tests that would be normally be run serially
and execute them in parallel.

The main goal of pytest-run-parallel is to discover thread-safety issues that
could exist when using C libraries, this is of vital importance after PEP703,
which provides a path for a CPython implementation without depending on the
Global Interpreter Lock (GIL), thus allowing for proper parallelism in programs
that make use of the CPython interpreter.
@
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d17 6
@