python3-flake8-cognitive-complexity
flake8 plugin that validates cognitive complexity
This library evaluates the cognitive complexity of Python code, analysing how
difficult a piece of code is to understand. Cognitive complexity is akin to
cyclomatic complexity but focuses on human comprehension rather than code
structure. It was introduced by G. Ann Campbell and is used by tools like
SonarSource and CodeClimate. This feature helps maintain code readability and
understandability, allowing easier maintenance and collaboration.
octavia-driver-agent
OpenStack Load Balancer as a Service - Driver Agent
Openstack Load Balancer as a Service, codenamed Octavia was borne out of the
Neutron LBaaS project. Its conception influenced the transformation of the
Neutron LBaaS project, as Neutron LBaaS moved from version 1 to version 2.
Starting with the Liberty release of OpenStack, Octavia has become the
reference implementation for Neutron LBaaS version 2.
libmmb4.0t64
shared library of MacroMoleculeBuilder
MacroMoleculeBuilder, previously known as RNABuilder, can be used for morphing,
homology modeling, folding (e.g. using base pairing contacts), redesigning
complexes, fitting to low-resolution density maps, predicting local
rearrangements upon mutation, and many other applications.
libparted-fs-resize0
disk partition manipulator - shared FS resizing library
GNU Parted is a program that allows you to create, destroy, resize,
move, and copy disk partitions. This is useful for creating space
for new operating systems, reorganizing disk usage, and copying data
to new hard disks.
gfortran-13-mipsisa64r6-linux-gnuabi64
GNU Fortran compiler for the mipsisa64r6-linux-gnuabi64 architecture
This is the GNU Fortran compiler for the mipsisa64r6-linux-gnuabi64 architecture,
which compiles Fortran on platforms supported by the gcc compiler.
It uses the gcc backend to generate optimized code.
asdftool
Command line tool to manipulate ASDF scientific data files
ASDF (Advanced Scientific Data Format) is a proposed
next generation interchange format for scientific data. ASDF aims to
exist in the same middle ground that made FITS so successful, by
being a hybrid text and binary format: containing human editable
metadata for interchange, and raw binary data that is fast to load
and use. Unlike FITS, the metadata is highly structured and is
designed up-front for extensibility.