simgrid 3.34-3 source package in Ubuntu

Changelog

simgrid (3.34-3) unstable; urgency=medium

  * Integrate an upstream patch to fix the execution with ns3 v3.36+
    (Closes: #1042217).

 -- Martin Quinson <email address hidden>  Tue, 07 Nov 2023 13:58:45 +0100

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Uploaded by:
Martin Quinson
Uploaded to:
Sid
Original maintainer:
Martin Quinson
Architectures:
any
Section:
science
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
simgrid_3.34-3.dsc 2.2 KiB b0270a40325422014085c2a7b499bad5ee7e7b21cf71952ae64a3ec80c8b8d7f
simgrid_3.34.orig.tar.xz 11.5 MiB 151f63b61aeed425b7649c863dd7e72cbf4703872310cecd56d5fd5ad9cbe39d
simgrid_3.34-3.debian.tar.xz 15.5 KiB 82048900203a6f98f1052f42c1369e69a4a84b434c336af1bd31caac7fb412a3

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Binary packages built by this source

libsimgrid-dev: Development files for the SimGrid Toolkit

 SimGrid is a toolkit that provides core functionalities for the simulation of
 distributed applications in heterogeneous distributed environments. SimGrid
 can be used as a Grid simulator, a P2P simulator, a Cloud simulator, a MPI
 simulator, or a mix of all of them. The typical use-cases of SimGrid include
 heuristic evaluation, application prototyping, and real application
 development and tuning.
 .
 This package contains the development files that you need to build
 your own simulator on top of SimGrid (header files and scripts),
 for C, C++ or Fortran.

libsimgrid-dev-dbgsym: debug symbols for libsimgrid-dev
libsimgrid3.34: No summary available for libsimgrid3.34 in ubuntu noble.

No description available for libsimgrid3.34 in ubuntu noble.

libsimgrid3.34-dbgsym: No summary available for libsimgrid3.34-dbgsym in ubuntu noble.

No description available for libsimgrid3.34-dbgsym in ubuntu noble.

python3-simgrid: Python3 bindings for the SimGrid Toolkit

 SimGrid is a toolkit that provides core functionalities for the simulation of
 distributed applications in heterogeneous distributed environments. SimGrid
 can be used as a Grid simulator, a P2P simulator, a Cloud simulator, a MPI
 simulator, or a mix of all of them. The typical use-cases of SimGrid include
 heuristic evaluation, application prototyping, and real application
 development and tuning.
 .
 This package contains what you need to use SimGrid from the Python
 programming language.