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diff --git a/python-rouge.spec b/python-rouge.spec new file mode 100644 index 0000000..de89973 --- /dev/null +++ b/python-rouge.spec @@ -0,0 +1,481 @@ +%global _empty_manifest_terminate_build 0 +Name: python-rouge +Version: 1.0.1 +Release: 1 +Summary: Full Python ROUGE Score Implementation (not a wrapper) +License: LICENCE.txt +URL: http://github.com/pltrdy/rouge +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/db/e4/3420a1ab1e82a280fb6107f7ae99e88eb12383c978fe573c0c64d0327d6b/rouge-1.0.1.tar.gz +BuildArch: noarch + +Requires: python3-six + +%description +# Rouge +*A full Python librarie for the ROUGE metric [(paper)](http://www.aclweb.org/anthology/W04-1013).* + +### Disclaimer +This implementation is independant from the "official" ROUGE script (aka. `ROUGE-155`). +Results may be *slighlty* different, see [discussions in #2](https://github.com/pltrdy/rouge/issues/2). + +## Quickstart +#### Clone & Install +```shell +git clone https://github.com/pltrdy/rouge +cd rouge +python setup.py install +# or +pip install -U . +``` +or from pip: +``` +pip install rouge +``` +#### Use it from the shell (JSON Output) +``` +$rouge -h +usage: rouge [-h] [-f] [-a] hypothesis reference + +Rouge Metric Calculator + +positional arguments: + hypothesis Text of file path + reference Text or file path + +optional arguments: + -h, --help show this help message and exit + -f, --file File mode + -a, --avg Average mode + +``` + +e.g. + + +```shell +# Single Sentence +rouge "transcript is a written version of each day 's cnn student" \ + "this page includes the show transcript use the transcript to help students with" + +# Scoring using two files (line by line) +rouge -f ./tests/hyp.txt ./ref.txt + +# Avg scoring - 2 files +rouge -f ./tests/hyp.txt ./ref.txt --avg +``` + +#### As a library + +###### Score 1 sentence + +```python +from rouge import Rouge + +hypothesis = "the #### transcript is a written version of each day 's cnn student news program use this transcript to he lp students with reading comprehension and vocabulary use the weekly newsquiz to test your knowledge of storie s you saw on cnn student news" + +reference = "this page includes the show transcript use the transcript to help students with reading comprehension and vocabulary at the bottom of the page , comment for a chance to be mentioned on cnn student news . you must be a teac her or a student age # # or older to request a mention on the cnn student news roll call . the weekly newsquiz tests students ' knowledge of even ts in the news" + +rouge = Rouge() +scores = rouge.get_scores(hypothesis, reference) +``` + +*Output:* + +```json +[ + { + "rouge-1": { + "f": 0.4786324739396596, + "p": 0.6363636363636364, + "r": 0.3835616438356164 + }, + "rouge-2": { + "f": 0.2608695605353498, + "p": 0.3488372093023256, + "r": 0.20833333333333334 + }, + "rouge-l": { + "f": 0.44705881864636676, + "p": 0.5277777777777778, + "r": 0.3877551020408163 + } + } +] +``` + +*Note: "f" stands for f1_score, "p" stands for precision, "r" stands for recall.* + +###### Score multiple sentences +```python +import json +from rouge import Rouge + +# Load some sentences +with open('./tests/data.json') as f: + data = json.load(f) + +hyps, refs = map(list, zip(*[[d['hyp'], d['ref']] for d in data])) +rouge = Rouge() +scores = rouge.get_scores(hyps, refs) +# or +scores = rouge.get_scores(hyps, refs, avg=True) +``` + +*Output (`avg=False`)*: a list of `n` dicts: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + + +*Output (`avg=True`)*: a single dict with average values: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + +###### Score two files (line by line) +Given two files `hyp_path`, `ref_path`, with the same number (`n`) of lines, calculate score for each of this lines, or, the average over the whole file. + +```python +from rouge import FilesRouge + +files_rouge = FilesRouge() +scores = files_rouge.get_scores(hyp_path, ref_path) +# or +scores = files_rouge.get_scores(hyp_path, ref_path, avg=True) +``` + + + + +%package -n python3-rouge +Summary: Full Python ROUGE Score Implementation (not a wrapper) +Provides: python-rouge +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-rouge +# Rouge +*A full Python librarie for the ROUGE metric [(paper)](http://www.aclweb.org/anthology/W04-1013).* + +### Disclaimer +This implementation is independant from the "official" ROUGE script (aka. `ROUGE-155`). +Results may be *slighlty* different, see [discussions in #2](https://github.com/pltrdy/rouge/issues/2). + +## Quickstart +#### Clone & Install +```shell +git clone https://github.com/pltrdy/rouge +cd rouge +python setup.py install +# or +pip install -U . +``` +or from pip: +``` +pip install rouge +``` +#### Use it from the shell (JSON Output) +``` +$rouge -h +usage: rouge [-h] [-f] [-a] hypothesis reference + +Rouge Metric Calculator + +positional arguments: + hypothesis Text of file path + reference Text or file path + +optional arguments: + -h, --help show this help message and exit + -f, --file File mode + -a, --avg Average mode + +``` + +e.g. + + +```shell +# Single Sentence +rouge "transcript is a written version of each day 's cnn student" \ + "this page includes the show transcript use the transcript to help students with" + +# Scoring using two files (line by line) +rouge -f ./tests/hyp.txt ./ref.txt + +# Avg scoring - 2 files +rouge -f ./tests/hyp.txt ./ref.txt --avg +``` + +#### As a library + +###### Score 1 sentence + +```python +from rouge import Rouge + +hypothesis = "the #### transcript is a written version of each day 's cnn student news program use this transcript to he lp students with reading comprehension and vocabulary use the weekly newsquiz to test your knowledge of storie s you saw on cnn student news" + +reference = "this page includes the show transcript use the transcript to help students with reading comprehension and vocabulary at the bottom of the page , comment for a chance to be mentioned on cnn student news . you must be a teac her or a student age # # or older to request a mention on the cnn student news roll call . the weekly newsquiz tests students ' knowledge of even ts in the news" + +rouge = Rouge() +scores = rouge.get_scores(hypothesis, reference) +``` + +*Output:* + +```json +[ + { + "rouge-1": { + "f": 0.4786324739396596, + "p": 0.6363636363636364, + "r": 0.3835616438356164 + }, + "rouge-2": { + "f": 0.2608695605353498, + "p": 0.3488372093023256, + "r": 0.20833333333333334 + }, + "rouge-l": { + "f": 0.44705881864636676, + "p": 0.5277777777777778, + "r": 0.3877551020408163 + } + } +] +``` + +*Note: "f" stands for f1_score, "p" stands for precision, "r" stands for recall.* + +###### Score multiple sentences +```python +import json +from rouge import Rouge + +# Load some sentences +with open('./tests/data.json') as f: + data = json.load(f) + +hyps, refs = map(list, zip(*[[d['hyp'], d['ref']] for d in data])) +rouge = Rouge() +scores = rouge.get_scores(hyps, refs) +# or +scores = rouge.get_scores(hyps, refs, avg=True) +``` + +*Output (`avg=False`)*: a list of `n` dicts: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + + +*Output (`avg=True`)*: a single dict with average values: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + +###### Score two files (line by line) +Given two files `hyp_path`, `ref_path`, with the same number (`n`) of lines, calculate score for each of this lines, or, the average over the whole file. + +```python +from rouge import FilesRouge + +files_rouge = FilesRouge() +scores = files_rouge.get_scores(hyp_path, ref_path) +# or +scores = files_rouge.get_scores(hyp_path, ref_path, avg=True) +``` + + + + +%package help +Summary: Development documents and examples for rouge +Provides: python3-rouge-doc +%description help +# Rouge +*A full Python librarie for the ROUGE metric [(paper)](http://www.aclweb.org/anthology/W04-1013).* + +### Disclaimer +This implementation is independant from the "official" ROUGE script (aka. `ROUGE-155`). +Results may be *slighlty* different, see [discussions in #2](https://github.com/pltrdy/rouge/issues/2). + +## Quickstart +#### Clone & Install +```shell +git clone https://github.com/pltrdy/rouge +cd rouge +python setup.py install +# or +pip install -U . +``` +or from pip: +``` +pip install rouge +``` +#### Use it from the shell (JSON Output) +``` +$rouge -h +usage: rouge [-h] [-f] [-a] hypothesis reference + +Rouge Metric Calculator + +positional arguments: + hypothesis Text of file path + reference Text or file path + +optional arguments: + -h, --help show this help message and exit + -f, --file File mode + -a, --avg Average mode + +``` + +e.g. + + +```shell +# Single Sentence +rouge "transcript is a written version of each day 's cnn student" \ + "this page includes the show transcript use the transcript to help students with" + +# Scoring using two files (line by line) +rouge -f ./tests/hyp.txt ./ref.txt + +# Avg scoring - 2 files +rouge -f ./tests/hyp.txt ./ref.txt --avg +``` + +#### As a library + +###### Score 1 sentence + +```python +from rouge import Rouge + +hypothesis = "the #### transcript is a written version of each day 's cnn student news program use this transcript to he lp students with reading comprehension and vocabulary use the weekly newsquiz to test your knowledge of storie s you saw on cnn student news" + +reference = "this page includes the show transcript use the transcript to help students with reading comprehension and vocabulary at the bottom of the page , comment for a chance to be mentioned on cnn student news . you must be a teac her or a student age # # or older to request a mention on the cnn student news roll call . the weekly newsquiz tests students ' knowledge of even ts in the news" + +rouge = Rouge() +scores = rouge.get_scores(hypothesis, reference) +``` + +*Output:* + +```json +[ + { + "rouge-1": { + "f": 0.4786324739396596, + "p": 0.6363636363636364, + "r": 0.3835616438356164 + }, + "rouge-2": { + "f": 0.2608695605353498, + "p": 0.3488372093023256, + "r": 0.20833333333333334 + }, + "rouge-l": { + "f": 0.44705881864636676, + "p": 0.5277777777777778, + "r": 0.3877551020408163 + } + } +] +``` + +*Note: "f" stands for f1_score, "p" stands for precision, "r" stands for recall.* + +###### Score multiple sentences +```python +import json +from rouge import Rouge + +# Load some sentences +with open('./tests/data.json') as f: + data = json.load(f) + +hyps, refs = map(list, zip(*[[d['hyp'], d['ref']] for d in data])) +rouge = Rouge() +scores = rouge.get_scores(hyps, refs) +# or +scores = rouge.get_scores(hyps, refs, avg=True) +``` + +*Output (`avg=False`)*: a list of `n` dicts: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + + +*Output (`avg=True`)*: a single dict with average values: + +``` +{"rouge-1": {"f": _, "p": _, "r": _}, "rouge-2" : { .. }, "rouge-l": { ... }} +``` + +###### Score two files (line by line) +Given two files `hyp_path`, `ref_path`, with the same number (`n`) of lines, calculate score for each of this lines, or, the average over the whole file. + +```python +from rouge import FilesRouge + +files_rouge = FilesRouge() +scores = files_rouge.get_scores(hyp_path, ref_path) +# or +scores = files_rouge.get_scores(hyp_path, ref_path, avg=True) +``` + + + + +%prep +%autosetup -n rouge-1.0.1 + +%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-rouge -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1-1 +- Package Spec generated |