gm2-14-mipsel-linux-gnu
GNU Modula-2 compiler for the mipsel-linux-gnu architecture
This is the GNU Modula-2 compiler for the mipsel-linux-gnu architecture,
which compiles Modula-2 on platforms supported by gcc. It uses the gcc
backend to generate optimised code.
gm2-14-mipsisa32r6-linux-gnu
GNU Modula-2 compiler for the mipsisa32r6-linux-gnu architecture
This is the GNU Modula-2 compiler for the mipsisa32r6-linux-gnu architecture,
which compiles Modula-2 on platforms supported by gcc. It uses the gcc
backend to generate optimised code.
gm2-14-mipsisa64r6-linux-gnuabi64
GNU Modula-2 compiler for the mipsisa64r6-linux-gnuabi64 architecture
This is the GNU Modula-2 compiler for the mipsisa64r6-linux-gnuabi64 architecture,
which compiles Modula-2 on platforms supported by gcc. It uses the gcc
backend to generate optimised code.
fypp
Python powered Fortran preprocessor
Fypp is a Python powered preprocessor. It can be used for any programming
languages but its primary aim is to offer a Fortran preprocessor, which helps
to extend Fortran with condititional compiling and template metaprogramming
capabilities. Instead of introducing its own expression syntax, it uses Python
expressions in its preprocessor directives, offering the consistency and
versatility of Python when formulating metaprogramming tasks. It puts strong
emphasis on robustness and on neat integration into developing toolchains.
libaunit21
AUnit, a unit testing framework for Ada: shared library
AUnit is a set of Ada packages based on the xUnit family of unit test
frameworks. It's intended as a developer's tool to facilitate
confident writing and evolution of Ada software. It is purposely
lightweight, as one of its main goals is to make it easy to develop
and run unit tests, rather than to generate artifacts for process
management. The framework supports easy composition of sets of unit
tests to provide flexibility in determining what tests to run for a
given purpose.
python3-adapt
Adapt Intent Parser (Python 3)
The Adapt Intent Parser is a flexible and extensible intent definition
and determination framework. It is intended to parse natural language
text into a structured intent (a json object) that can then be invoked
programmatically.