@nfdi4plants/arctrl NPM

ARCtrl

ARCtrl the easy way to read, manipulate and write ARCs in .NET, JavaScript and Python! ❤️

#r "nuget: ARCtrl"

<PackageReference Include="ARCtrl" Version="1.1.0" />

npm i @nfdi4plants/arctrl

pip install arctrl

Currently we provide some documentation in form of markdown files in the /docs folder of this repository!

nodejs and npm
- verify with node --version (Tested with v18.16.1)
- verify with npm --version (Tested with v9.2.0)
.NET SDK
- verify with dotnet --version (Tested with 7.0.306)
Python
- verify with py --version (Tested with 3.12.2, known to work only for >=3.11)

On windows you can use the setup.cmd to run the following steps automatically!

Install NPM dependencies
npm install
Setup python environment
py -m venv .venv
Install Poetry and dependencies
1. .\.venv\Scripts\python.exe -m pip install -U pip setuptools
2. .\.venv\Scripts\python.exe -m pip install poetry
3. .\.venv\Scripts\python.exe -m poetry install --no-root

Verify correct setup with ./build.cmd runtests ✨

Measured on 13th Gen Intel(R) Core(TM) i7-13800H

Name	Description	FSharp Time (ms)	JavaScript Time (ms)	Python Time (ms)
Table_GetHashCode	From a table with 1 column and 10000 rows, retrieve the Hash Code	5	21	226
Table_AddRows	Add 10000 rows to a table with 4 columns.	15	22	289
Table_fillMissingCells	For a table 6 columns and 20000 rows, where each row has one missing value, fill those values with default values.	49	108	4813
Table_ToJson	Serialize a table with 5 columns and 10000 rows to json.	1099	481	6833
Table_ToCompressedJson	Serialize a table with 5 columns and 10000 rows to compressed json.	261	2266	717334
Assay_toJson	Parse an assay with one table with 10000 rows and 6 columns to json	915	2459	28799
Study_FromWorkbook	Parse a workbook with one study with 10000 rows and 6 columns to an ArcStudy	97	87	1249
Investigation_ToWorkbook_ManyStudies	Parse an investigation with 1500 studies to a workbook	621	379	9974