automatic import of python-textblob

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+%global _empty_manifest_terminate_build 0
+Name:		python-textblob
+Version:	0.17.1
+Release:	1
+Summary:	Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
+License:	MIT
+URL:		https://github.com/sloria/TextBlob
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bc/63/8c6f75b7edce0bbaed1d74f03b14c399767fcf08966c227182b62ad63426/textblob-0.17.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-nltk
+Requires:	python3-nltk
+
+%description
+Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
+`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
+    from textblob import TextBlob
+    text = '''
+    The titular threat of The Blob has always struck me as the ultimate movie
+    monster: an insatiably hungry, amoeba-like mass able to penetrate
+    virtually any safeguard, capable of--as a doomed doctor chillingly
+    describes it--"assimilating flesh on contact.
+    Snide comparisons to gelatin be damned, it's a concept with the most
+    devastating of potential consequences, not unlike the grey goo scenario
+    proposed by technological theorists fearful of
+    artificial intelligence run rampant.
+    '''
+    blob = TextBlob(text)
+    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
+                        #  ('threat', 'NN'), ('of', 'IN'), ...]
+    blob.noun_phrases   # WordList(['titular threat', 'blob',
+                        #            'ultimate movie monster',
+                        #            'amoeba-like mass', ...])
+    for sentence in blob.sentences:
+        print(sentence.sentiment.polarity)
+    # 0.060
+    # -0.341
+TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.
+
+%package -n python3-textblob
+Summary:	Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
+Provides:	python-textblob
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-textblob
+Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
+`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
+    from textblob import TextBlob
+    text = '''
+    The titular threat of The Blob has always struck me as the ultimate movie
+    monster: an insatiably hungry, amoeba-like mass able to penetrate
+    virtually any safeguard, capable of--as a doomed doctor chillingly
+    describes it--"assimilating flesh on contact.
+    Snide comparisons to gelatin be damned, it's a concept with the most
+    devastating of potential consequences, not unlike the grey goo scenario
+    proposed by technological theorists fearful of
+    artificial intelligence run rampant.
+    '''
+    blob = TextBlob(text)
+    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
+                        #  ('threat', 'NN'), ('of', 'IN'), ...]
+    blob.noun_phrases   # WordList(['titular threat', 'blob',
+                        #            'ultimate movie monster',
+                        #            'amoeba-like mass', ...])
+    for sentence in blob.sentences:
+        print(sentence.sentiment.polarity)
+    # 0.060
+    # -0.341
+TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.
+
+%package help
+Summary:	Development documents and examples for textblob
+Provides:	python3-textblob-doc
+%description help
+Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
+`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
+    from textblob import TextBlob
+    text = '''
+    The titular threat of The Blob has always struck me as the ultimate movie
+    monster: an insatiably hungry, amoeba-like mass able to penetrate
+    virtually any safeguard, capable of--as a doomed doctor chillingly
+    describes it--"assimilating flesh on contact.
+    Snide comparisons to gelatin be damned, it's a concept with the most
+    devastating of potential consequences, not unlike the grey goo scenario
+    proposed by technological theorists fearful of
+    artificial intelligence run rampant.
+    '''
+    blob = TextBlob(text)
+    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
+                        #  ('threat', 'NN'), ('of', 'IN'), ...]
+    blob.noun_phrases   # WordList(['titular threat', 'blob',
+                        #            'ultimate movie monster',
+                        #            'amoeba-like mass', ...])
+    for sentence in blob.sentences:
+        print(sentence.sentiment.polarity)
+    # 0.060
+    # -0.341
+TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.
+
+%prep
+%autosetup -n textblob-0.17.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-textblob -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.17.1-1
+- Package Spec generated