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@@ -0,0 +1 @@ +/replacy-3.7.2.tar.gz diff --git a/python-replacy.spec b/python-replacy.spec new file mode 100644 index 0000000..2177353 --- /dev/null +++ b/python-replacy.spec @@ -0,0 +1,420 @@ +%global _empty_manifest_terminate_build 0 +Name: python-replacy +Version: 3.7.2 +Release: 1 +Summary: ReplaCy = spaCy Matcher + pyInflect. Create rules, correct sentences. +License: MIT +URL: https://pypi.org/project/replacy/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b2/3a/652fc5853e6e14d6dc7433ec9643bc327d82c9e277b1297380544a68f72a/replacy-3.7.2.tar.gz +BuildArch: noarch + +Requires: python3-jsonschema +Requires: python3-lemminflect +Requires: python3-pyfunctional + +%description +<p align="center"> +<img src="./docs/replacy_logo.png" align="center" /> +</p> + +# replaCy: match & replace with spaCy + +We found that in multiple projects we had duplicate code for using spaCy’s blazing fast matcher to do the same thing: Match-Replace-Grammaticalize. So we wrote replaCy! + +- Match - spaCy’s matcher is great, and lets you match on text, shape, POS, dependency parse, and other features. We extended this with “match hooks”, predicates that get used in the callback function to further refine a match. +- Replace - Not built into spaCy’s matcher syntax, but easily added. You often want to replace a matched word with some other term. +- Grammaticalize - If you match on ”LEMMA”: “dance”, and replace with suggestions: ["sing"], but the actual match is danced, you need to conjugate “sing” appropriately. This is the “killer feature” of replaCy + +[](https://spacy.io) +[](https://pypi.org/project/replacy/) +[](https://github.com/ambv/black) + +<p align="center"> +<img src="./docs/replacy_ex.png" align="center" /> +</p> + + +## Requirements + +- `spacy >= 2.0` (not installed by default, but replaCy needs to be instantiated with an `nlp` object) + +## Installation + +`pip install replacy` + +## Quick start + +```python +from replacy import ReplaceMatcher +from replacy.db import load_json +import spacy + + +match_dict = load_json('/path/to/your/match/dict.json') +# load nlp spacy model of your choice +nlp = spacy.load("en_core_web_sm") + +rmatcher = ReplaceMatcher(nlp, match_dict=match_dict) + +# get inflected suggestions +# look up the first suggestion +span = rmatcher("She extracts revenge.")[0] +span._.suggestions +# >>> ['exacts'] +``` + +## Input + +ReplaceMatcher accepts both text and spaCy doc. + +```python +# text is ok +span = r_matcher("She extracts revenge.")[0] + +# doc is ok too +doc = nlp("She extracts revenge.") +span = r_matcher(doc)[0] +``` + +## match_dict.json format + +Here is a minimal `match_dict.json`: + +```json +{ + "extract-revenge": { + "patterns": [ + { + "LEMMA": "extract", + "TEMPLATE_ID": 1 + } + ], + "suggestions": [ + [ + { + "TEXT": "exact", + "FROM_TEMPLATE_ID": 1 + } + ] + ], + "match_hook": [ + { + "name": "succeeded_by_phrase", + "args": "revenge", + "match_if_predicate_is": true + } + ], + "test": { + "positive": [ + "And at the same time extract revenge on those he so despises?", + "Watch as Tampa Bay extracts revenge against his former Los Angeles Rams team." + ], + "negative": ["Mother flavours her custards with lemon extract."] + } + } +} +``` +For more information how to compose `match_dict` see our [wiki](https://github.com/Qordobacode/replaCy/wiki/match_dict.json-format): + + +# Citing + +If you use replaCy in your research, please cite with the following BibText + +```bibtext +@misc{havens2019replacy, + title = {SpaCy match and replace, maintaining conjugation}, + author = {Sam Havens, Aneta Stal, and Manhal Daaboul}, + url = {https://github.com/Qordobacode/replaCy}, + year = {2019} +} + + +%package -n python3-replacy +Summary: ReplaCy = spaCy Matcher + pyInflect. Create rules, correct sentences. +Provides: python-replacy +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-replacy +<p align="center"> +<img src="./docs/replacy_logo.png" align="center" /> +</p> + +# replaCy: match & replace with spaCy + +We found that in multiple projects we had duplicate code for using spaCy’s blazing fast matcher to do the same thing: Match-Replace-Grammaticalize. So we wrote replaCy! + +- Match - spaCy’s matcher is great, and lets you match on text, shape, POS, dependency parse, and other features. We extended this with “match hooks”, predicates that get used in the callback function to further refine a match. +- Replace - Not built into spaCy’s matcher syntax, but easily added. You often want to replace a matched word with some other term. +- Grammaticalize - If you match on ”LEMMA”: “dance”, and replace with suggestions: ["sing"], but the actual match is danced, you need to conjugate “sing” appropriately. This is the “killer feature” of replaCy + +[](https://spacy.io) +[](https://pypi.org/project/replacy/) +[](https://github.com/ambv/black) + +<p align="center"> +<img src="./docs/replacy_ex.png" align="center" /> +</p> + + +## Requirements + +- `spacy >= 2.0` (not installed by default, but replaCy needs to be instantiated with an `nlp` object) + +## Installation + +`pip install replacy` + +## Quick start + +```python +from replacy import ReplaceMatcher +from replacy.db import load_json +import spacy + + +match_dict = load_json('/path/to/your/match/dict.json') +# load nlp spacy model of your choice +nlp = spacy.load("en_core_web_sm") + +rmatcher = ReplaceMatcher(nlp, match_dict=match_dict) + +# get inflected suggestions +# look up the first suggestion +span = rmatcher("She extracts revenge.")[0] +span._.suggestions +# >>> ['exacts'] +``` + +## Input + +ReplaceMatcher accepts both text and spaCy doc. + +```python +# text is ok +span = r_matcher("She extracts revenge.")[0] + +# doc is ok too +doc = nlp("She extracts revenge.") +span = r_matcher(doc)[0] +``` + +## match_dict.json format + +Here is a minimal `match_dict.json`: + +```json +{ + "extract-revenge": { + "patterns": [ + { + "LEMMA": "extract", + "TEMPLATE_ID": 1 + } + ], + "suggestions": [ + [ + { + "TEXT": "exact", + "FROM_TEMPLATE_ID": 1 + } + ] + ], + "match_hook": [ + { + "name": "succeeded_by_phrase", + "args": "revenge", + "match_if_predicate_is": true + } + ], + "test": { + "positive": [ + "And at the same time extract revenge on those he so despises?", + "Watch as Tampa Bay extracts revenge against his former Los Angeles Rams team." + ], + "negative": ["Mother flavours her custards with lemon extract."] + } + } +} +``` +For more information how to compose `match_dict` see our [wiki](https://github.com/Qordobacode/replaCy/wiki/match_dict.json-format): + + +# Citing + +If you use replaCy in your research, please cite with the following BibText + +```bibtext +@misc{havens2019replacy, + title = {SpaCy match and replace, maintaining conjugation}, + author = {Sam Havens, Aneta Stal, and Manhal Daaboul}, + url = {https://github.com/Qordobacode/replaCy}, + year = {2019} +} + + +%package help +Summary: Development documents and examples for replacy +Provides: python3-replacy-doc +%description help +<p align="center"> +<img src="./docs/replacy_logo.png" align="center" /> +</p> + +# replaCy: match & replace with spaCy + +We found that in multiple projects we had duplicate code for using spaCy’s blazing fast matcher to do the same thing: Match-Replace-Grammaticalize. So we wrote replaCy! + +- Match - spaCy’s matcher is great, and lets you match on text, shape, POS, dependency parse, and other features. We extended this with “match hooks”, predicates that get used in the callback function to further refine a match. +- Replace - Not built into spaCy’s matcher syntax, but easily added. You often want to replace a matched word with some other term. +- Grammaticalize - If you match on ”LEMMA”: “dance”, and replace with suggestions: ["sing"], but the actual match is danced, you need to conjugate “sing” appropriately. This is the “killer feature” of replaCy + +[](https://spacy.io) +[](https://pypi.org/project/replacy/) +[](https://github.com/ambv/black) + +<p align="center"> +<img src="./docs/replacy_ex.png" align="center" /> +</p> + + +## Requirements + +- `spacy >= 2.0` (not installed by default, but replaCy needs to be instantiated with an `nlp` object) + +## Installation + +`pip install replacy` + +## Quick start + +```python +from replacy import ReplaceMatcher +from replacy.db import load_json +import spacy + + +match_dict = load_json('/path/to/your/match/dict.json') +# load nlp spacy model of your choice +nlp = spacy.load("en_core_web_sm") + +rmatcher = ReplaceMatcher(nlp, match_dict=match_dict) + +# get inflected suggestions +# look up the first suggestion +span = rmatcher("She extracts revenge.")[0] +span._.suggestions +# >>> ['exacts'] +``` + +## Input + +ReplaceMatcher accepts both text and spaCy doc. + +```python +# text is ok +span = r_matcher("She extracts revenge.")[0] + +# doc is ok too +doc = nlp("She extracts revenge.") +span = r_matcher(doc)[0] +``` + +## match_dict.json format + +Here is a minimal `match_dict.json`: + +```json +{ + "extract-revenge": { + "patterns": [ + { + "LEMMA": "extract", + "TEMPLATE_ID": 1 + } + ], + "suggestions": [ + [ + { + "TEXT": "exact", + "FROM_TEMPLATE_ID": 1 + } + ] + ], + "match_hook": [ + { + "name": "succeeded_by_phrase", + "args": "revenge", + "match_if_predicate_is": true + } + ], + "test": { + "positive": [ + "And at the same time extract revenge on those he so despises?", + "Watch as Tampa Bay extracts revenge against his former Los Angeles Rams team." + ], + "negative": ["Mother flavours her custards with lemon extract."] + } + } +} +``` +For more information how to compose `match_dict` see our [wiki](https://github.com/Qordobacode/replaCy/wiki/match_dict.json-format): + + +# Citing + +If you use replaCy in your research, please cite with the following BibText + +```bibtext +@misc{havens2019replacy, + title = {SpaCy match and replace, maintaining conjugation}, + author = {Sam Havens, Aneta Stal, and Manhal Daaboul}, + url = {https://github.com/Qordobacode/replaCy}, + year = {2019} +} + + +%prep +%autosetup -n replacy-3.7.2 + +%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-replacy -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 3.7.2-1 +- Package Spec generated @@ -0,0 +1 @@ +89d1f054042a61653d4645126568f786 replacy-3.7.2.tar.gz |