Structure

cellular_raza consists of multiple crates working in tandem. It was designed to have clear separations between conceptual choices and implementation details. This approach allows us to have a greater amount of modularity and flexibility than regular simulation tools.

graph BT
    examples -.-> concepts
    examples --> core
    examples --> building_blocks
    benchmarks --> core
    benchmarks --> building_blocks
    benchmarks -.-> concepts
    core --> concepts
    building_blocks --> concepts

These crates act on varying levels of abstraction to yield a fully working numerical simulation. Since cellular_raza functions on different levels of abstraction, we try to indicate this in the table below.

crate	Abstraction Level	Purpose
`cellular_raza`	-	Bundle together functionality of all other crates.
`concepts`	High	Collection of (mainly) traits which need to be implemented to yield a full simulation.
`core`	Intermediate-High	Contains numerical solvers, storage handlers and more to actually solve a given system.
`building_blocks`	Intermediate	Predefined components of cell-agents and domains which can be put together to obtain a full simulation.
`examples`	Application	Showcases and introductions to different simulation approaches.
`benchmarks`	Application	Performance testing of various configurations.

flowchart LR
    High --> Intermediate --> Application

Development

Language	Files	Lines	Blank	Comment	Code	Complexity	Bytes
Rust	115	34118	3062	4926	26130	1087	1179705
Python	16	2532	337	127	2068	193	85043
License	3	1017	174	0	843	0	54276
TOML	33	655	72	11	572	0	17861
Jupyter	2	544	0	0	544	0	50002
YAML	6	467	49	112	306	0	11395
SVG	3	334	0	0	334	0	28964
HTML	5	258	6	8	244	0	9551
Markdown	13	154	27	0	127	0	8472
gitignore	12	67	3	0	64	0	461
Shell	3	43	11	3	29	0	884
Autoconf	1	2	0	0	2	0	58
Total	212	40191	3741	5187	31263	1280	1446672