How To Install libneurosim on Fedora 34

libneurosim is Common interfaces for neuronal simulators Common interfaces for neuronal simulators

Introduction

In this tutorial we learn how to install libneurosim on Fedora 34.

What is libneurosim

libneurosim is a general library that provides interfaces and common utility code for neuronal simulators. Currently it provides the ConnectionGenerator interface. The ConnectionGenerator API is a standard interface supporting efficient generation of network connectivity during model setup in neuronal network simulators. It is intended as an abstraction isolating both sides of the API any simulator can use a given connection generator and a given simulator can use any library providing the ConnectionGenerator interface. It was initially developed to support the use of libcsa from NEST. libneurosim 1.2.0 2.20210110.gitafc003f.fc34 x86_64 47 k libneurosim-1.2.0-2.20210110.gitafc003f.fc34.src.rpm fedora Common interfaces for neuronal simulators https GPLv3+ libneurosim is a general library that provides interfaces and common utility code for neuronal simulators. Currently it provides the ConnectionGenerator interface. The ConnectionGenerator API is a standard interface supporting efficient generation of network connectivity during model setup in neuronal network simulators. It is intended as an abstraction isolating both sides of the API any simulator can use a given connection generator and a given simulator can use any library providing the ConnectionGenerator interface. It was initially developed to support the use of libcsa from NEST.

We can use yum or dnf to install libneurosim on Fedora 34. In this tutorial we discuss both methods but you only need to choose one of method to install libneurosim.

Install libneurosim on Fedora 34 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

The output should look something like this:

Fedora 34 - x86_64                               20 kB/s | 6.6 kB     00:00
Fedora 34 openh264 (From Cisco) - x86_64        1.4 kB/s | 989  B     00:00
Fedora Modular 34 - x86_64                       68 kB/s | 6.5 kB     00:00
Fedora 34 - x86_64 - Updates                    3.5 kB/s | 6.2 kB     00:01
Fedora Modular 34 - x86_64 - Updates             17 kB/s | 5.9 kB     00:00
Metadata cache created.

After updating yum database, We can install libneurosim using dnf by running the following command:

sudo dnf -y install libneurosim

Install libneurosim on Fedora 34 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

The output should look something like this:

Fedora 34 - x86_64                               20 kB/s | 6.6 kB     00:00
Fedora 34 openh264 (From Cisco) - x86_64        1.4 kB/s | 989  B     00:00
Fedora Modular 34 - x86_64                       68 kB/s | 6.5 kB     00:00
Fedora 34 - x86_64 - Updates                    3.5 kB/s | 6.2 kB     00:01
Fedora Modular 34 - x86_64 - Updates             17 kB/s | 5.9 kB     00:00
Metadata cache created.

After updating yum database, We can install libneurosim using yum by running the following command:

sudo yum -y install libneurosim

How To Uninstall libneurosim on Fedora 34

To uninstall only the libneurosim package we can use the following command:

sudo dnf remove libneurosim

libneurosim Package Contents on Fedora 34

/usr/lib/.build-id
/usr/lib/.build-id/63
/usr/lib/.build-id/63/96e9e5551c46e9e241a4bdd9e7f88bd969f20a
/usr/lib/.build-id/ff
/usr/lib/.build-id/ff/dc6258264e517081ac796cd8b5af286a3e9381
/usr/lib/libneurosim.so.0
/usr/lib/libneurosim.so.0.0.0
/usr/lib/libpy3neurosim.so.0
/usr/lib/libpy3neurosim.so.0.0.0
/usr/lib/.build-id
/usr/lib/.build-id/70
/usr/lib/.build-id/70/99ca9ca122b6f3fad90ad68c5497ca57475854
/usr/lib/.build-id/b0
/usr/lib/.build-id/b0/96e29c4792bbba5e6b176df4e9e813ae295a80
/usr/lib64/libneurosim.so.0
/usr/lib64/libneurosim.so.0.0.0
/usr/lib64/libpy3neurosim.so.0
/usr/lib64/libpy3neurosim.so.0.0.0

References

Summary

In this tutorial we learn how to install libneurosim on Fedora 34 using yum and dnf.