Library is split into several modules:

• base - Useful in almost every project.
• color - Color (colour in English) related stuff.
• math - Useful for mathematical code.
• nd - ND-array operations.
• prng - Pseudo-Random Number Generators. Currently just xoroshiro128+.
• stats - Statistics. Currently just for binary classifiers.
• test - Helpers for unit testing.
• toml - Save/load TOML files with optional compression.
• vcd - Value Change Dump (from Verilog) reader and writer.
• yaml - Extended YAML parser, useful for implementing DSLs on top of YAML.

Some useful scripts are provided in dmppl/scripts which show how to use some parts of the library modules.

• beamer-times - Report the time breakdown for beamer presentations by reading annotations in the LaTeX.
• parvec - Generate pseudorandom parameter vectors for design space exploration with repeatable results.
• vcd-utils - Convert VCD (Verilog IEEE1364) files to/from YAML and CSV, extract information, or cleanup dodgy VCDs using the forgiving reader with strict writer.
• svg2png - Simple wrapper around inkscape to export SVGs to PNGs.
• plotCsv - Quick and simple matplotlib wrapper for CSV-like data.
• plotDistBytes - Quick and simple plotting of distribution of byte values.
• plotX - Quick and simple plotting of expressions with single variable.
• lineFilter - Filter lines from STDIN to STDOUT via regexes. Useful for signing off warnings in large logfiles.
• bindump - Dump byte content of files as numbers, similar to od,hexdump,xxd.

Some experiments are given in dmppl/experiments which are likely not useful to most people.

• relest - (Relationship Estimation) Model SoC signal relations. Part of my PhD project presented at LOD2019.
• eva - (EVent Analysis) Measure and visualize correlations between measurements. Part of my PhD project.
• colorspace - Make full plots of 2D unit-interval colorspace in my thesis.
• correlator - Interface to USB/serial/ACM hardware controlling FPGA with SoC-correlation-accelerator. Part of my PhD project.

Supports multiple versions of Python (2.7, 3.6, 3.7, 3.8).

• Dropping support for <3.6 allows use of type annotations.
• Dropping support for <3.8 allows use of newer language features such as the walrus operator, and getting rid of version-specific hacks like `openCsvKwargs'. Don't necessarily need to wait for distros to support 3.8+, only wait for 3.6+ since altinstall+venv seems to be the recommended way forward. low priority
• Keeping support for old versions allows compatibility with other programs which have built-in Python shells, TODO: Collate version dependencies for various programs and decide what I want to support: Inkscape, Blender, nextpnr, yosys, ...

See the Makefile to wrapup common actions and provide examples of how to run things.

• make venv to create a virtual environment for each supported version.
• make unittest to perform all unit tests.
• make unittest-coverage to perform all unit tests collecting code coverage and produce HTML reports.
• make dist to build a setuptools distribution.
• make clean to remove all generated files.

TODO:

1. mypy
2. Implement vch, vchlite?
3. Expand documentation here
4. Sphinx/readthedocs

semantic versioning