All code and notebooks contained here are very rough. The eventual goal is to unify existing calculators into a version-controlled and well-documented library. However, the primary immediate use is to analyze and project performance, synthesizing theoretical calculations with actual performance data. This is a dirty problem, and the work product reflects the nature of trying to draw a bead on a moving target. The first and foremost goal is to find a firing solution that will allow us to meet both security and scaling requirements for Proof of Replication. This is like searching for a needle in a haystack, but the end is in sight.
Until that happens, this work should be seens as an artifact of that effort. Over time, the goal is to tame the complexity (then well-understood and stabilized) and refactor the resulting model for clarity and auditable explanatory power.
Create the conda environment:
> conda env create -f environment.ymlActivate it:
> conda activate fil-calculationsNotebooks should be saved in both .md and .ipynb.
- To use
.md(required), append tojupyter_notebook_config.py:
c.NotebookApp.contents_manager_class = "jupytext.TextFileContentsManager"
c.ContentsManager.default_jupytext_formats = "ipynb,md"
From project root:
> cd fil-calculations
> jupyter notebookAlways load and save any notebooks which may have changed so that the .ipynb files have accurate values. In
particular, this makes the non-interactive view available on GitHub useful.
TODO: Script this. Eventually verify on CI.
The Filecoin Project is dual-licensed under Apache 2.0 and MIT terms:
- Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)