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| author | Troy Figiel <troy@troyfigiel.com> | 2023-11-11 19:19:16 +0100 |
|---|---|---|
| committer | Ludovic Courtès <ludo@gnu.org> | 2023-11-15 18:29:38 +0100 |
| commit | 416ae9ad8973ec8a4099914153f4d160b91ee77e (patch) | |
| tree | aa06cab0233323cab0a07bdab42b7549964e0cab /gnu | |
| parent | 7c9e26484959a358946dc061e15104437961c08b (diff) | |
| download | guix-416ae9ad8973ec8a4099914153f4d160b91ee77e.tar.gz | |
gnu: Add python-tdda.
* gnu/packages/python-science.scm (python-tdda): New variable. Change-Id: I456aa236b3348e5b990289d8a381c2d5276a12f1 Signed-off-by: Ludovic Courtès <ludo@gnu.org>
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/python-science.scm | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index 4063797a30..949cd11929 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -22,6 +22,7 @@ ;;; Copyright © 2022 Eric Bavier <bavier@posteo.net> ;;; Copyright © 2022 Antero Mejr <antero@mailbox.org> ;;; Copyright © 2022 jgart <jgart@dismail.de> +;;; Copyright © 2023 Troy Figiel <troy@troyfigiel.com> ;;; ;;; This file is part of GNU Guix. ;;; @@ -349,6 +350,38 @@ implements several methods for sequential model-based optimization. @code{skopt} aims to be accessible and easy to use in many contexts.") (license license:bsd-3))) +(define-public python-tdda + (package + (name "python-tdda") + (version "2.0.9") + (source + (origin + (method url-fetch) + (uri (pypi-uri "tdda" version)) + (sha256 + (base32 "1xs91s8b7cshjcqw88qsrjh10xly799k5rf2ycawqfz2mw8sy3br")))) + (build-system pyproject-build-system) + (arguments + '(#:phases (modify-phases %standard-phases + (add-after 'unpack 'relax-requirements + (lambda _ + (substitute* "setup.py" + (("pandas>=1.5.2") + "pandas")))) + (replace 'check + (lambda* (#:key tests? #:allow-other-keys) + (when tests? + (invoke "tdda" "test"))))))) + (native-inputs (list python-numpy python-pandas)) + (home-page "https://www.stochasticsolutions.com") + (synopsis "Test-driven data analysis library for Python") + (description + "The TDDA Python module provides command-line and Python API support +for the overall process of data analysis, through tools that peform +reference testing, constraint discovery for data, automatic inference +of regular expressions from text data and automatic test generation.") + (license license:expat))) ; MIT License + (define-public python-trimesh (package (name "python-trimesh") |