automatic import of python-spacytextblob

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+/spacytextblob-4.0.0.tar.gz
diff --git a/python-spacytextblob.spec b/python-spacytextblob.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-spacytextblob
+Version:	4.0.0
+Release:	1
+Summary:	A TextBlob sentiment analysis pipeline component for spaCy.
+License:	MIT
+URL:		https://github.com/SamEdwardes/spacytextblob
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e0/34/4a4adda6938af6b36752b38860e9d9d8380739235de1cfd07def155e78c6/spacytextblob-4.0.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-textblob
+Requires:	python3-spacy
+
+%description
+# spacytextblob
+
+[![PyPI version](https://badge.fury.io/py/spacytextblob.svg)](https://badge.fury.io/py/spacytextblob)
+[![pytest](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml/badge.svg)](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/spacytextblob?label=PyPi%20Downloads)
+[![Netlify Status](https://api.netlify.com/api/v1/badges/e2f2caac-7239-45a2-b145-a00205c3befb/deploy-status)](https://app.netlify.com/sites/spacytextblob/deploys)
+
+A TextBlob sentiment analysis pipeline component for spaCy. 
+
+- [Docs](https://spacytextblob.netlify.app/)
+- [GitHub](https://github.com/SamEdwardes/spacytextblob)
+- [PyPi](https://pypi.org/project/spacytextblob/)
+
+## Table of Contents
+
+- [Install](#install)
+- [Quick Start](#quick-start)
+- [Quick Reference](#quick-reference)
+- [Reference and Attribution](#reference-and-attribution)
+
+## Install
+
+Install *spacytextblob* from PyPi.
+
+```bash
+pip install spacytextblob
+```
+
+TextBlob requires additional data to be downloaded before getting started.
+
+```bash
+python -m textblob.download_corpora
+```
+
+spaCy also requires that you download a model to get started.
+
+```bash
+python -m spacy download en_core_web_sm
+```
+
+## Quick Start
+
+*spacytextblob* allows you to access all of the attributes created of the `textblob.TextBlob` class but within the spaCy framework. The code below will demonstrate how to use *spacytextblob* on a simple string.
+
+```python
+import spacy
+from spacytextblob.spacytextblob import SpacyTextBlob
+
+nlp = spacy.load('en_core_web_sm')
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+nlp.add_pipe("spacytextblob")
+doc = nlp(text)
+
+print(doc._.blob.polarity)
+# -0.125
+
+print(doc._.blob.subjectivity)
+# 0.9
+
+print(doc._.blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+In comparison, here is how the same code would look using `TextBlob`:
+
+```python
+from textblob import TextBlob
+
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+blob = TextBlob(text)
+
+print(blob.sentiment_assessments.polarity)
+# -0.125
+
+print(blob.sentiment_assessments.subjectivity)
+# 0.9
+
+print(blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+## Quick Reference
+
+*spacytextblob* performs sentiment analysis using the [TextBlob](https://textblob.readthedocs.io/en/dev/quickstart.html) library. Adding *spacytextblob* to a spaCy nlp pipeline creates a new extension attribute for the `Doc`, `Span`, and `Token` classes from spaCy.
+
+- `Doc._.blob`
+- `Span._.blob`
+- `Token._.blob`
+
+The `._.blob` attribute contains all of the methods and attributes that belong to the `textblob.TextBlob` class Some of the common methods and attributes include: 
+
+- **`._.blob.polarity`**: a float within the range [-1.0, 1.0].
+- **`._.blob.subjectivity`**: a float within the range [0.0, 1.0] where 0.0 is very objective and 1.0 is very subjective. 
+- **`._.blob.sentiment_assessments.assessments`**: a list of polarity and subjectivity scores for the assessed tokens.
+
+See the [textblob docs](https://textblob.readthedocs.io/en/dev/api_reference.html#textblob.blob.TextBlob) for the complete listing of all attributes and methods that are available in `._.blob`.
+
+## Reference and Attribution
+
+- TextBlob
+    - [https://github.com/sloria/TextBlob](https://github.com/sloria/TextBlob)
+    - [https://textblob.readthedocs.io/en/latest/](https://textblob.readthedocs.io/en/latest/)
+- negspaCy (for inspiration in writing pipeline and organizing repo)
+    - [https://github.com/jenojp/negspacy](https://github.com/jenojp/negspacy)
+- spaCy custom components
+    - [https://spacy.io/usage/processing-pipelines#custom-components](https://spacy.io/usage/processing-pipelines#custom-components)
+
+
+%package -n python3-spacytextblob
+Summary:	A TextBlob sentiment analysis pipeline component for spaCy.
+Provides:	python-spacytextblob
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-spacytextblob
+# spacytextblob
+
+[![PyPI version](https://badge.fury.io/py/spacytextblob.svg)](https://badge.fury.io/py/spacytextblob)
+[![pytest](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml/badge.svg)](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/spacytextblob?label=PyPi%20Downloads)
+[![Netlify Status](https://api.netlify.com/api/v1/badges/e2f2caac-7239-45a2-b145-a00205c3befb/deploy-status)](https://app.netlify.com/sites/spacytextblob/deploys)
+
+A TextBlob sentiment analysis pipeline component for spaCy. 
+
+- [Docs](https://spacytextblob.netlify.app/)
+- [GitHub](https://github.com/SamEdwardes/spacytextblob)
+- [PyPi](https://pypi.org/project/spacytextblob/)
+
+## Table of Contents
+
+- [Install](#install)
+- [Quick Start](#quick-start)
+- [Quick Reference](#quick-reference)
+- [Reference and Attribution](#reference-and-attribution)
+
+## Install
+
+Install *spacytextblob* from PyPi.
+
+```bash
+pip install spacytextblob
+```
+
+TextBlob requires additional data to be downloaded before getting started.
+
+```bash
+python -m textblob.download_corpora
+```
+
+spaCy also requires that you download a model to get started.
+
+```bash
+python -m spacy download en_core_web_sm
+```
+
+## Quick Start
+
+*spacytextblob* allows you to access all of the attributes created of the `textblob.TextBlob` class but within the spaCy framework. The code below will demonstrate how to use *spacytextblob* on a simple string.
+
+```python
+import spacy
+from spacytextblob.spacytextblob import SpacyTextBlob
+
+nlp = spacy.load('en_core_web_sm')
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+nlp.add_pipe("spacytextblob")
+doc = nlp(text)
+
+print(doc._.blob.polarity)
+# -0.125
+
+print(doc._.blob.subjectivity)
+# 0.9
+
+print(doc._.blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+In comparison, here is how the same code would look using `TextBlob`:
+
+```python
+from textblob import TextBlob
+
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+blob = TextBlob(text)
+
+print(blob.sentiment_assessments.polarity)
+# -0.125
+
+print(blob.sentiment_assessments.subjectivity)
+# 0.9
+
+print(blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+## Quick Reference
+
+*spacytextblob* performs sentiment analysis using the [TextBlob](https://textblob.readthedocs.io/en/dev/quickstart.html) library. Adding *spacytextblob* to a spaCy nlp pipeline creates a new extension attribute for the `Doc`, `Span`, and `Token` classes from spaCy.
+
+- `Doc._.blob`
+- `Span._.blob`
+- `Token._.blob`
+
+The `._.blob` attribute contains all of the methods and attributes that belong to the `textblob.TextBlob` class Some of the common methods and attributes include: 
+
+- **`._.blob.polarity`**: a float within the range [-1.0, 1.0].
+- **`._.blob.subjectivity`**: a float within the range [0.0, 1.0] where 0.0 is very objective and 1.0 is very subjective. 
+- **`._.blob.sentiment_assessments.assessments`**: a list of polarity and subjectivity scores for the assessed tokens.
+
+See the [textblob docs](https://textblob.readthedocs.io/en/dev/api_reference.html#textblob.blob.TextBlob) for the complete listing of all attributes and methods that are available in `._.blob`.
+
+## Reference and Attribution
+
+- TextBlob
+    - [https://github.com/sloria/TextBlob](https://github.com/sloria/TextBlob)
+    - [https://textblob.readthedocs.io/en/latest/](https://textblob.readthedocs.io/en/latest/)
+- negspaCy (for inspiration in writing pipeline and organizing repo)
+    - [https://github.com/jenojp/negspacy](https://github.com/jenojp/negspacy)
+- spaCy custom components
+    - [https://spacy.io/usage/processing-pipelines#custom-components](https://spacy.io/usage/processing-pipelines#custom-components)
+
+
+%package help
+Summary:	Development documents and examples for spacytextblob
+Provides:	python3-spacytextblob-doc
+%description help
+# spacytextblob
+
+[![PyPI version](https://badge.fury.io/py/spacytextblob.svg)](https://badge.fury.io/py/spacytextblob)
+[![pytest](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml/badge.svg)](https://github.com/SamEdwardes/spacytextblob/actions/workflows/pytest.yml)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/spacytextblob?label=PyPi%20Downloads)
+[![Netlify Status](https://api.netlify.com/api/v1/badges/e2f2caac-7239-45a2-b145-a00205c3befb/deploy-status)](https://app.netlify.com/sites/spacytextblob/deploys)
+
+A TextBlob sentiment analysis pipeline component for spaCy. 
+
+- [Docs](https://spacytextblob.netlify.app/)
+- [GitHub](https://github.com/SamEdwardes/spacytextblob)
+- [PyPi](https://pypi.org/project/spacytextblob/)
+
+## Table of Contents
+
+- [Install](#install)
+- [Quick Start](#quick-start)
+- [Quick Reference](#quick-reference)
+- [Reference and Attribution](#reference-and-attribution)
+
+## Install
+
+Install *spacytextblob* from PyPi.
+
+```bash
+pip install spacytextblob
+```
+
+TextBlob requires additional data to be downloaded before getting started.
+
+```bash
+python -m textblob.download_corpora
+```
+
+spaCy also requires that you download a model to get started.
+
+```bash
+python -m spacy download en_core_web_sm
+```
+
+## Quick Start
+
+*spacytextblob* allows you to access all of the attributes created of the `textblob.TextBlob` class but within the spaCy framework. The code below will demonstrate how to use *spacytextblob* on a simple string.
+
+```python
+import spacy
+from spacytextblob.spacytextblob import SpacyTextBlob
+
+nlp = spacy.load('en_core_web_sm')
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+nlp.add_pipe("spacytextblob")
+doc = nlp(text)
+
+print(doc._.blob.polarity)
+# -0.125
+
+print(doc._.blob.subjectivity)
+# 0.9
+
+print(doc._.blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+In comparison, here is how the same code would look using `TextBlob`:
+
+```python
+from textblob import TextBlob
+
+text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
+blob = TextBlob(text)
+
+print(blob.sentiment_assessments.polarity)
+# -0.125
+
+print(blob.sentiment_assessments.subjectivity)
+# 0.9
+
+print(blob.sentiment_assessments.assessments)
+# [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
+```
+
+## Quick Reference
+
+*spacytextblob* performs sentiment analysis using the [TextBlob](https://textblob.readthedocs.io/en/dev/quickstart.html) library. Adding *spacytextblob* to a spaCy nlp pipeline creates a new extension attribute for the `Doc`, `Span`, and `Token` classes from spaCy.
+
+- `Doc._.blob`
+- `Span._.blob`
+- `Token._.blob`
+
+The `._.blob` attribute contains all of the methods and attributes that belong to the `textblob.TextBlob` class Some of the common methods and attributes include: 
+
+- **`._.blob.polarity`**: a float within the range [-1.0, 1.0].
+- **`._.blob.subjectivity`**: a float within the range [0.0, 1.0] where 0.0 is very objective and 1.0 is very subjective. 
+- **`._.blob.sentiment_assessments.assessments`**: a list of polarity and subjectivity scores for the assessed tokens.
+
+See the [textblob docs](https://textblob.readthedocs.io/en/dev/api_reference.html#textblob.blob.TextBlob) for the complete listing of all attributes and methods that are available in `._.blob`.
+
+## Reference and Attribution
+
+- TextBlob
+    - [https://github.com/sloria/TextBlob](https://github.com/sloria/TextBlob)
+    - [https://textblob.readthedocs.io/en/latest/](https://textblob.readthedocs.io/en/latest/)
+- negspaCy (for inspiration in writing pipeline and organizing repo)
+    - [https://github.com/jenojp/negspacy](https://github.com/jenojp/negspacy)
+- spaCy custom components
+    - [https://spacy.io/usage/processing-pipelines#custom-components](https://spacy.io/usage/processing-pipelines#custom-components)
+
+
+%prep
+%autosetup -n spacytextblob-4.0.0
+
+%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-spacytextblob -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 4.0.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..82497ee
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d30979cfa98ab266f67bafafdf3af2a5  spacytextblob-4.0.0.tar.gz