- Use _service to download source and exclude documentation that has
  non-commercial license (boo#1232448)
- Remove nltk_data to avoid redistribution of files with
  non-commercial (boo#1232448):
  > NLTK corpora are provided under the terms given in the README file
  > for each corpus; all are redistributable and available for
  > non-commercial use.
- Remove not needed skip-networked-test.patch

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- Update to to 3.9.1 (changes since 3.8.1):
  * Fixed bug that prevented wordnet from loading
  * Fix security vulnerability CVE-2024-39705 (breaking change)
  * Replace pickled models (punkt, chunker, taggers) by new
    pickle-free "_tab" packages
  * No longer sort Wordnet synsets and relations (sort in calling
    function when required)
  * Only strip the last suffix in Wordnet Morphy, thus
    restricting synsets() results
  * Add Python 3.12 support
  * Many other minor fixes
- Refresh nltk_data
- Remome upstreamed patches:
  - CVE-2024-39705.patch
  - nltk-pr3207-py312.patch

- Update to 3.8

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- Add CVE-2024-39705.patch upstream patch to fix unsafe pickle usage.
  (CVE-2024-39705, gh#nltk/nltk#3266, bsc#1227174).
- Drop CVE-2024-39705-disable-download.patch as it's not needed
  anymore.

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- Use tarball from GitHub instead of the Zip archive from PyPI,
  the latter has very messy combination of CRLF and LF EOLs,
  which are hard to patch.
- Refresh all patches from the original locations.
- Add CVE-2024-39705-disable-download.patch to make a crude
  workaround around CVE-2024-39705 (gh#nltk/nltk#3266,
  bsc#1227174).

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Automatic submission by obs-autosubmit

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- Complete nltk_data.tar.xz for offline testing
- Fix failing tests (gh#nltk/nltk#2969) by adding patches:
  - port-2to3.patch
  - skip-networked-test.patch
- Clean up the SPEC to get rid of rpmlint warnings.

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- Update to 3.7
  - Improve and update the NLTK team page on nltk.org (#2855,
    #2941)
  - Drop support for Python 3.6, support Python 3.10 (#2920)
- Update to 3.6.7
  - Resolve IndexError in `sent_tokenize` and `word_tokenize`
    (#2922)
- Update to 3.6.6
  - Refactor `gensim.doctest` to work for gensim 4.0.0 and up
    (#2914)
  - Add Precision, Recall, F-measure, Confusion Matrix to Taggers
    (#2862)
  - Added warnings if .zip files exist without any corresponding
    .csv files. (#2908)
  - Fix `FileNotFoundError` when the `download_dir` is
    a non-existing nested folder (#2910)
  - Rename omw to omw-1.4 (#2907)
  - Resolve ReDoS opportunity by fixing incorrectly specified
    regex (#2906, bsc#1191030, CVE-2021-3828).
  - Support OMW 1.4 (#2899)
  - Deprecate Tree get and set node methods (#2900)
  - Fix broken inaugural test case (#2903)
  - Use Multilingual Wordnet Data from OMW with newer Wordnet
    versions (#2889)
  - Keep NLTKs "tokenize" module working with pathlib (#2896)
  - Make prettyprinter to be more readable (#2893)
  - Update links to the nltk book (#2895)
  - Add `CITATION.cff` to nltk (#2880)
  - Resolve serious ReDoS in PunktSentenceTokenizer (#2869)
  - Delete old CI config files (#2881)

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- Update to v3.5
  * add support for Python 3.8
  * drop support for Python 2
  * create NLTK's own Tokenizer class distinct from the Treebank
    reference tokeniser
  * update Vader sentiment analyser
  * fix JSON serialization of some PoS taggers
  * minor improvements in grammar.CFG, Vader, pl196x corpus reader,
    StringTokenizer
  * change implementation <= and >= for FreqDist so they are partial
    orders
  * make FreqDist iterable
  * correctly handle Penn Treebank trees with a unlabeled branching
    top node

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- Update to 3.4.5 (bsc#1146427, CVE-2019-14751):

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- Fix build without python2

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Replace %fdupes -s with plain %fdupes; hardlinks are better.

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- Update to 3.4.5:
  * Fixed security bug in downloader: Zip slip vulnerability - for the
    unlikely situation where a user configures their downloader to use
    a compromised server CVE-2019-14751

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- Update to 3.4.4:
  * fix bug in plot function (probability.py)
  * add improved PanLex Swadesh corpus reader
  * add Text.generate()
  * add QuadgramAssocMeasures
  * add SSP to tokenizers
  * return confidence of best tag from AveragedPerceptron
  * make plot methods return Axes objects
  * don't require list arguments to PositiveNaiveBayesClassifier.train
  * fix Tree classes to work with native Python copy library
  * fix inconsistency for NomBank
  * fix random seeding in LanguageModel.generate
  * fix ConditionalFreqDist mutation on tabulate/plot call
  * fix broken links in documentation
  * fix misc Wordnet issues
  * update installation instructions

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- Trim redundant wording from description.

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NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets and tutorials supporting research and development in Natural Language Processing.

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