[PRE REVIEW]: fABBA: A Python library for the fast symbolic approximation of time series

[editorialbot]

Submitting author: !--author-handle-->@chenxinye<!--end-author-handle-- (Xinye Chen) Repository: https://github.com/nla-group/fABBA Branch with paper.md (empty if default branch): master Version: v1.1.0 Editor: !--editor-->@lrnv<!--end-editor-- Reviewers: @Karangupta1994, @allie-tatarian Managing EiC: Arfon Smith

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Author instructions

Thanks for submitting your paper to JOSS @chenxinye. Currently, there isn't a JOSS editor assigned to your paper.

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.98 s (115.9 files/s, 360946.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
C                               12          16359          74932         195162
Python                          28           1607           2641           3161
Jupyter Notebook                18              0          50227           2514
C++                              7            171            294            772
C/C++ Header                     9            202            299            622
Cython                          12            346            537            562
Markdown                         7            137              0            342
reStructuredText                 9            244            236            152
TeX                              1             14              0            109
YAML                             4             40             24             83
CSS                              1             18             15             57
DOS Batch                        1              8              1             26
Bourne Shell                     1              2              0             18
make                             1              4              7              9
TOML                             1              0              0              3
SWIG                             1              0              2              0
-------------------------------------------------------------------------------
SUM:                           113          19152         129215         203592
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 875

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- None

MISSING DOIs

- 10.1007/s10618-020-00689-6 may be a valid DOI for title: ABBA: adaptive Brownian bridge-based symbolic aggregation of time series
- 10.1109/tit.1982.1056489 may be a valid DOI for title: Least squares quantization in PCM
- 10.1145/882082.882086 may be a valid DOI for title: A symbolic representation of time series, with implications for streaming algorithms
- 10.1145/3532622 may be a valid DOI for title: An efficient aggregation method for the symbolic representation of temporal data
- 10.1016/j.is.2023.102294 may be a valid DOI for title: ECG classification with learning ensemble based on symbolic discretization
- 10.1007/978-3-031-24378-3_4 may be a valid DOI for title: Fast Time Series Classification with Random Symbolic Subsequences
- 10.1007/s10618-007-0064-z may be a valid DOI for title: Experiencing SAX: a novel symbolic representation of time series
- 10.1109/seed55351.2022.00016 may be a valid DOI for title: Foreseer: Efficiently Forecasting Malware Event Series with Long Short-Term Memory
- 10.1016/j.ress.2023.109123 may be a valid DOI for title: Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
- 10.1145/3448672 may be a valid DOI for title: A Framework for Generating Summaries from Temporal Personal Health Data

INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

Five most similar historical JOSS papers:

dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python Submitting author: @davidtourigny Handling editor: @marcosvital (Active) Reviewers: @jdbrunner, @pstjohn, @synchon Similarity score: 0.8218

pyFBS: A Python package for Frequency Based Substructuring Submitting author: @tb93 Handling editor: @kyleniemeyer (Active) Reviewers: @ngoiz, @LolloCappo, @Gunnstein Similarity score: 0.8105

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BATMAN: Statistical analysis for expensive computer codes made easy Submitting author: @tupui Handling editor: @katyhuff (Retired) Reviewers: @mikeckennedy Similarity score: 0.8026

ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters Submitting author: @sanskriti-s Handling editor: @arokem (Retired) Reviewers: @annoviko Similarity score: 0.8014

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[arfon]

@chenxinye – thanks for your submission to JOSS. When including the C code, this looks to be a very large submission. Could you clarify which aspects of this submission you are asking the JOSS reviewers to review?

Also, we're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[chenxinye]

@arfon Thanks! fABBA is a native Python library and is completely driven by Python code, which has no reliance on C++ at all, so we just hope JOSS reviewers can help to review the Python code, on which our fABBA library is based.

We provide native C++ implementation just for C++ users for reference.

[chenxinye]

@arfon, I just removed the C++ code to for clarifying. Please let us know if you have any questions! Many thanks

[arfon]

@editorialbot check repository

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.94 s (103.5 files/s, 372887.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
C                               12          16359          74932         195162
Python                          28           1607           2641           3161
Jupyter Notebook                18              0          50227           2514
Cython                          12            346            537            562
Markdown                         7            136              0            346
reStructuredText                 9            244            236            152
TeX                              2             14              0            128
YAML                             4             40             24             83
CSS                              1             18             15             57
DOS Batch                        1              8              1             26
Bourne Shell                     1              2              0             18
make                             1              4              7              9
TOML                             1              0              0              3
-------------------------------------------------------------------------------
SUM:                            97          18778         128620         202221
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 875

[arfon]

@arfon Thanks! fABBA is a native Python library and is completely driven by Python code, which has no reliance on C++ at all, so we just hope JOSS reviewers can help to review the Python code, on which our fABBA library is based.

Thanks for clarifying. Just to confirm, the C code doesn't need reviewing either?

[chenxinye]

Yes @arfon, many thanks!

[arfon]

@editorialbot invite @lrnv as editor

:wave: @lrnv – would you be willing to edit this submission for JOSS?

/ cc @vissarion for visibility.

[editorialbot]

Invitation to edit this submission sent!

[lrnv]

@editorialbot assign me as editor

[editorialbot]

Assigned! @lrnv is now the editor

[lrnv]

@chenxinye Hey !

Would you please take a look at the list of reviewers to potentially identify a few that would be suitable to review this submission ?

[chenxinye]

Hi @lrnv ,

I suggest @allie-tatarian @@Karangupta1994 @djmannion @dgerosa @wmvanvliet? It would be nice if you can refer to some more.

Many thanks, Xinye

[lrnv]

:wave: @allie-tatarian @@Karangupta1994 @djmannion @dgerosa @wmvanvliet, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

[wmvanvliet]

I'm a bit too busy at the moment to be a reviewer for this one. Project looks good though!

[Karangupta1994]

Hi Oskar,

Sure, I will be happy to review. Please let me know how to proceed.

Thank you, Karan

On Mon, Jan 22, 2024 at 4:27 AM Oskar Laverny @.***> wrote:

👋 @allie-tatarian https://github.com/allie-tatarian @@Karangupta1994 https://github.com/Karangupta1994 @djmannion https://github.com/djmannion @dgerosa https://github.com/dgerosa @wmvanvliet https://github.com/wmvanvliet, would any of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

— Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/6132#issuecomment-1903687398, or unsubscribe https://github.com/notifications/unsubscribe-auth/AKUCAUFLPKN6P337MC3PQVLYPY5KPAVCNFSM6AAAAABAN75N7CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMBTGY4DOMZZHA . You are receiving this because you were mentioned.Message ID: @.***>

-- Thanks and Regards, Karan Gupta 201.238.6498 | @. @.> Linkedin https://www.linkedin.com/in/karan0707/

[lrnv]

@Karangupta1994 Ok great ! Basically instructions will come later when we identified at least another reviewer.

[lrnv]

@editorialbot add @Karangupta1994 as reviewer

[editorialbot]

@Karangupta1994 added to the reviewers list!

[allie-tatarian]

Hi, I can help review this paper. Thanks!

[lrnv]

@allie-tatarian Great thanks ! I'll add you up and we will wait a bit more in case a third invited person manifests.

[lrnv]

@editorialbot add @allie-tatarian as reviewer

[editorialbot]

@allie-tatarian added to the reviewers list!

[djmannion]

Apologies, but I won't be able to be a reviewer for this paper.

[lrnv]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6294.