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valgrind-feedstock's Introduction

About valgrind-feedstock

Feedstock license: BSD-3-Clause

Home: http://valgrind.org

Package license: GPL-2.0-or-later

Summary: A tool for detecting memory errors, and an instrumentation framework for building dynamic analysis tools.

Development: http://valgrind.org/downloads/repository.html

Documentation: http://valgrind.org/docs/manual/manual.html

Valgrind is an instrumentation framework for building dynamic analysis tools. There are Valgrind tools that can automatically detect many memory management and threading bugs, and profile your programs in detail. You can also use Valgrind to build new tools. The Valgrind distribution currently includes six production-quality tools: a memory error detector, two thread error detectors, a cache and branch-prediction profiler, a call-graph generating cache and branch-prediction profiler, and a heap profiler. It also includes three experimental tools: a stack/global array overrun detector, a second heap profiler that examines how heap blocks are used, and a SimPoint basic block vector generator.

Current build status

Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
linux_ppc64le variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing valgrind

Installing valgrind from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, valgrind can be installed with conda:

conda install valgrind

or with mamba:

mamba install valgrind

It is possible to list all of the versions of valgrind available on your platform with conda:

conda search valgrind --channel conda-forge

or with mamba:

mamba search valgrind --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search valgrind --channel conda-forge

# List packages depending on `valgrind`:
mamba repoquery whoneeds valgrind --channel conda-forge

# List dependencies of `valgrind`:
mamba repoquery depends valgrind --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating valgrind-feedstock

If you would like to improve the valgrind recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/valgrind-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

valgrind-feedstock's People

Contributors

conda-forge-admin avatar conda-forge-curator[bot] avatar jakirkham avatar kszucs avatar notestaff avatar regro-cf-autotick-bot avatar saraedum avatar xhochy avatar

Watchers

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valgrind-feedstock's Issues

Boost dependency(?)

Why does valgrind-feedstock depend on boost?

I looked on the valgrind manual and there's no reference to boost.

I noted this because calling conda install valgrind wanted to downgrade my version of boost (and causing a chain reaction of changes).

wrong path to perl in ms_print shebang

Issue:

calling ms_print I get the following error:

bash: <...>/conda_env/bin/ms_print: /home/conda/feedstock_root/build_artifacts/valgrind_1559509025645/_build_env/: Defekter Interpreter: Datei oder Verzeichnis nicht gefunden

To make it work, I have to patch the file with:

sed -i '1s,.*,#! '"$(which perl)"',' $(which ms_print)

Environment (conda list):
$ conda list
# packages in environment at ...:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
bzip2                     1.0.8                h516909a_1    conda-forge
ca-certificates           2019.9.11            hecc5488_0    conda-forge
curl                      7.65.3               hf8cf82a_0    conda-forge
hdf4                      4.2.13            hf30be14_1003    conda-forge
hdf5                      1.10.5          nompi_h3c11f04_1104    conda-forge
jpeg                      9c                h14c3975_1001    conda-forge
krb5                      1.16.3            h05b26f9_1001    conda-forge
libcurl                   7.65.3               hda55be3_0    conda-forge
libedit                   3.1.20170329      hf8c457e_1001    conda-forge
libgcc-ng                 9.1.0                hdf63c60_0  
libgfortran-ng            7.3.0                hdf63c60_2    conda-forge
libnetcdf                 4.7.1           nompi_h94020b1_102    conda-forge
libssh2                   1.8.2                h22169c7_2    conda-forge
libstdcxx-ng              9.1.0                hdf63c60_0  
ncurses                   6.1               hf484d3e_1002    conda-forge
netcdf-fortran            4.5.2           nompi_h705e341_102    conda-forge
openssl                   1.1.1d               h516909a_0    conda-forge
tk                        8.6.10               hed695b0_0    conda-forge
valgrind                  3.15.0               he513fc3_0    conda-forge
zlib                      1.2.11            h516909a_1006    conda-forge

Details about conda and system ( conda info ):
$ conda info
     active environment : ...
    active env location : ...
            shell level : 1
       user config file : /home/<user>/.condarc
 populated config files : 
          conda version : 4.5.12
    conda-build version : not installed
         python version : 3.7.1.final.0
       base environment : /usr/local/miniconda/3/4.5.12-1  (read only)
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/linux-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/pro/linux-64
                          https://repo.anaconda.com/pkgs/pro/noarch
          package cache : /usr/local/miniconda/3/4.5.12-1/pkgs
                          /home/<user>/.conda/pkgs
       envs directories : /home/<user>/.conda/envs
                          /usr/local/miniconda/3/4.5.12-1/envs
               platform : linux-64
             user-agent : conda/4.5.12 requests/2.21.0 CPython/3.7.1 Linux/3.10.0-1062.4.3.el7.x86_64 centos/7 glibc/2.17
                UID:GID : 46167:4463
             netrc file : None
           offline mode : False

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