arctrl 3.0.0b10

Library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtimer agnostic contract systems.

ARCtrl

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

Version	Downloads

Install

.NET

#r "nuget: ARCtrl"

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

JavaScript

npm i @nfdi4plants/arctrl

Python

pip install arctrl

Docs

Documentation can be found here

Development

Requirements

• 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)

Local Setup

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

1. Setup dotnet tools

   dotnet tool restore

2. Install NPM dependencies

   npm install

3. Setup python environment

   py -m venv .venv

4. Install uv and dependencies

   1. .\.venv\Scripts\python.exe -m pip install -U pip setuptools
   2. .\.venv\Scripts\python.exe -m pip install uv
   3. .\.venv\Scripts\python.exe -m uv pip install -r pyproject.toml --group dev

Verify correct setup with ./build.cmd runtests ✨

Branding

Feel free to reference ARCtrl on slides or elsewhere using our logos:

Square	Horizontal	Vertical

Performance

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	0 ± 0	0 ± 1	91 ± 12
Table_AddDistinctRows	Add 10000 distinct rows to a table with 4 columns.	13 ± 2	14 ± 4	119 ± 12
Table_AddIdenticalRows	Add 10000 identical rows to a table with 4 columns.	6 ± 2	6 ± 1	104 ± 6
Table_AddColumnsWithDistinctValues	Add 4 columns with 10000 distinct values each.	8 ± 3	10 ± 1	53 ± 1
Table_AddColumnsWithIdenticalValues	Add 4 columns with 10000 identical values each.	5 ± 1	4 ± 0	47 ± 1
Table_fillMissingCells	For a table 6 columns and 20000 rows, where each row has one missing value, fill those values with default values.	0 ± 0	2 ± 1	6 ± 4
Table_ToJson	Serialize a table with 5 columns and 10000 rows to json, with 3 fixed and 2 variable columns.	227 ± 64	68 ± 18	7851 ± 1411
Table_ToCompressedJson	Serialize a table with 5 columns and 10000 rows to compressed json, with 3 fixed and 2 variable columns.	147 ± 15	2878 ± 135	6303 ± 1798
Assay_toJson	Parse an assay with one table with 10000 rows and 6 columns to json, with 3 fixed and 3 variable columns.	330 ± 36	88 ± 9	12644 ± 550
Assay_fromJson	Parse an assay with one table with 10000 rows and 6 columns from json, with 3 fixed and 3 variable columns.	355 ± 66	61 ± 6	6499 ± 1068
Assay_toISAJson	Parse an assay with one table with 10000 rows and 6 columns to json, with 3 fixed and 3 variable columns	487 ± 36	959 ± 36	15618 ± 482
Assay_fromISAJson	Parse an assay with one table with 10000 rows and 6 columns from json, with 3 fixed and 3 variable columns	359 ± 29	706 ± 46	9587 ± 621
Study_FromWorkbook	Parse a workbook with one study with 10000 rows and 6 columns to an ArcStudy	29 ± 14	62 ± 5	818 ± 36
Investigation_ToWorkbook_ManyStudies	Parse an investigation with 1500 studies to a workbook	240 ± 31	284 ± 24	3657 ± 199
Investigation_FromWorkbook_ManyStudies	Parse a workbook with 1500 studies to an ArcInvestigation	127 ± 20	498 ± 21	9469 ± 412
ARC_ToROCrate	Parse an ARC with one assay with 10000 rows and 6 columns to a RO-Crate metadata file.	1431 ± 99	3526 ± 264	61224 ± 728