ConfigObj is a simple but powerful config file reader and writer: an ini
file round tripper. Its main feature is that it is very easy to use, with a
straightforward programmer's interface and a simple syntax for config file.
More routines for operating on iterables, beyond itertools.
libcutl is a C++ utility library. It contains a collection of generic and
independent components such as meta-programming tests, smart pointers,
containers, compiler building blocks, etc.
libdasm is a C-library that tries to provide simple and convenient
way to disassemble Intel x86 raw opcode bytes (machine code). It
can parse and print out opcodes in AT&T and Intel syntax.
The core idea of libee is to provide a small but hopefully convenient
API layer above the CEE standard. However, CEE is not finished. At the
time of this writing, CEE is under heavy development and even some of
its core data structures (like the data dictionary and taxonomy) have
not been fully specified. So for the time being, libee should be
thought of as a useful library that helps you get your events
normalized. If you program cleanly to libee, chances are not bad that
only relatively little effort is required to move your app over to be
CEE compliant (once the standard is out).
gen_rpc uses a mailbox-per-node architecture and gen_tcp processes
to parallelize data reception from multiple nodes without blocking
the VM's distributed port.
mwlib.ext provides external dependencies needed by the mwlib
library. It contains a copy of reportlab, which is a BSD
licensed pdf generation library.
pycountry provides the ISO databases for the standards:
-- 639: Languages
-- 3166: Countries
-- 3166-2: Subdivisions of countries
-- 4217: Currencies
-- 15924: Scripts
The package includes a copy from Debian's pkg-isocodes and makes
the data accessible through a Python API. Translation files for
the various strings are included as well.
This is a lib package for use by pytest-cov, nose-cov and
nose2-cov. Unless you're developing a coverage plugin for
a test framework, you probably want one of those.
Coverage measures code coverage, typically during test execution.
It uses the code analysis tools and tracing hooks provided in the
Python standard library to determine which lines are executable,
and which have been executed.