[PRE REVIEW]: mcstatsim: A Functional Programming-Based Monte Carlo Simulation Tool with Parallel Computing Support

[editorialbot]

Submitting author: !--author-handle-->@ielbadisy<!--end-author-handle-- (Imad EL BADISY) Repository: https://github.com/ielbadisy/mcstatsim Branch with paper.md (empty if default branch): mcstatsim-JOSS Version: 0.5.0 Editor: Pending Reviewers: Pending Managing EiC: Chris Vernon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (406.5 files/s, 72899.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
XML                              1              0              2            441
Markdown                         1             23              0             40
TeX                              1              6              0             26
-------------------------------------------------------------------------------
SUM:                             3             29              2            507
-------------------------------------------------------------------------------

Commit count by author:

     2  ielbadisy

[editorialbot]

Checking the BibTeX entries failed with the following error:

No paper file path

[editorialbot]

Paper file info:

⚠️ Failed to find a paper file in https://github.com/ielbadisy/mcstatsim (branch: mcstatsim-JOSS)

[editorialbot]

License info:

🔴 Failed to discover a valid open source license

[editorialbot]

:warning: An error happened when generating the pdf. Paper file not found.

[crvernon]

@editorialbot reject

:wave: @ielbadisy - Thank you for your submission to JOSS. At this time we must reject this submission due to it not meeting our substantial scholarly effort requirement for our submissions due to the following:

• Low lines of code count
• Short commit history

Kind regards.

[editorialbot]

Paper rejected.

[ielbadisy]

Hello @crvernon, Thank you for your feedback. The package was intended to be a lightweight solution, focusing on efficiency and simplicity. However, I'll consider adding more features in the future to meet the substantial scholarly effort requirement.

Best regards.