From 63972d95ef4a5702210c414c3fd0535aabe374ac Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 10 May 2023 08:02:21 +0000 Subject: automatic import of python-es-core-news-sm --- .gitignore | 1 + python-es-core-news-sm.spec | 202 ++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 204 insertions(+) create mode 100644 python-es-core-news-sm.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..8ebaf4b 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/es_core_news_sm-3.1.0.tar.gz diff --git a/python-es-core-news-sm.spec b/python-es-core-news-sm.spec new file mode 100644 index 0000000..77768d4 --- /dev/null +++ b/python-es-core-news-sm.spec @@ -0,0 +1,202 @@ +%global _empty_manifest_terminate_build 0 +Name: python-es-core-news-sm +Version: 3.1.0 +Release: 1 +Summary: Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. +License: GNU GPL 3.0 +URL: https://explosion.ai +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/a3/b330d349d8ffd9a34ba12873143bfbc838851b64b4996487232aa46a9004/es_core_news_sm-3.1.0.tar.gz +BuildArch: noarch + +Requires: python3-spacy + +%description +### Details: https://spacy.io/models/es#es_core_news_sm + +Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. + +| Feature | Description | +| --- | --- | +| **Name** | `es_core_news_sm` | +| **Version** | `3.1.0` | +| **spaCy** | `>=3.1.0,<3.2.0` | +| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | +| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) | +| **License** | `GNU GPL 3.0` | +| **Author** | [Explosion](https://explosion.ai) | + +### Label Scheme + +
+ +View label scheme (414 labels for 4 components) + +
+ +### Accuracy + +| Type | Score | +| --- | --- | +| `TOKEN_ACC` | 100.00 | +| `TAG_ACC` | 97.29 | +| `POS_ACC` | 98.20 | +| `MORPH_ACC` | 97.74 | +| `LEMMA_ACC` | 98.32 | +| `DEP_UAS` | 90.42 | +| `DEP_LAS` | 86.94 | +| `SENTS_P` | 97.87 | +| `SENTS_R` | 98.97 | +| `SENTS_F` | 98.42 | +| `ENTS_P` | 88.90 | +| `ENTS_R` | 88.98 | +| `ENTS_F` | 88.94 | + + + + +%package -n python3-es-core-news-sm +Summary: Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. +Provides: python-es-core-news-sm +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-es-core-news-sm +### Details: https://spacy.io/models/es#es_core_news_sm + +Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. + +| Feature | Description | +| --- | --- | +| **Name** | `es_core_news_sm` | +| **Version** | `3.1.0` | +| **spaCy** | `>=3.1.0,<3.2.0` | +| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | +| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) | +| **License** | `GNU GPL 3.0` | +| **Author** | [Explosion](https://explosion.ai) | + +### Label Scheme + +
+ +View label scheme (414 labels for 4 components) + +
+ +### Accuracy + +| Type | Score | +| --- | --- | +| `TOKEN_ACC` | 100.00 | +| `TAG_ACC` | 97.29 | +| `POS_ACC` | 98.20 | +| `MORPH_ACC` | 97.74 | +| `LEMMA_ACC` | 98.32 | +| `DEP_UAS` | 90.42 | +| `DEP_LAS` | 86.94 | +| `SENTS_P` | 97.87 | +| `SENTS_R` | 98.97 | +| `SENTS_F` | 98.42 | +| `ENTS_P` | 88.90 | +| `ENTS_R` | 88.98 | +| `ENTS_F` | 88.94 | + + + + +%package help +Summary: Development documents and examples for es-core-news-sm +Provides: python3-es-core-news-sm-doc +%description help +### Details: https://spacy.io/models/es#es_core_news_sm + +Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. + +| Feature | Description | +| --- | --- | +| **Name** | `es_core_news_sm` | +| **Version** | `3.1.0` | +| **spaCy** | `>=3.1.0,<3.2.0` | +| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` | +| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | +| **Sources** | [UD Spanish AnCora v2.5](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)
[WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran)
[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) | +| **License** | `GNU GPL 3.0` | +| **Author** | [Explosion](https://explosion.ai) | + +### Label Scheme + +
+ +View label scheme (414 labels for 4 components) + +
+ +### Accuracy + +| Type | Score | +| --- | --- | +| `TOKEN_ACC` | 100.00 | +| `TAG_ACC` | 97.29 | +| `POS_ACC` | 98.20 | +| `MORPH_ACC` | 97.74 | +| `LEMMA_ACC` | 98.32 | +| `DEP_UAS` | 90.42 | +| `DEP_LAS` | 86.94 | +| `SENTS_P` | 97.87 | +| `SENTS_R` | 98.97 | +| `SENTS_F` | 98.42 | +| `ENTS_P` | 88.90 | +| `ENTS_R` | 88.98 | +| `ENTS_F` | 88.94 | + + + + +%prep +%autosetup -n es-core-news-sm-3.1.0 + +%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-es-core-news-sm -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot - 3.1.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..0f73848 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +fc3e741dfe988fad5c977b705a3e5bbb es_core_news_sm-3.1.0.tar.gz -- cgit v1.2.3