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authorJ. Nathanael Philipp2021-02-02 11:51:49 +0100
committerJ. Nathanael Philipp2021-02-02 11:51:49 +0100
commit3a84617f0027e71e781d3a9e44f0b157ad75c61c (patch)
tree297c22988fdf53cdb8d6328a541c0331679ad5ad
parent40e4c4a231ed1792b67bd04b50ee70c96edf13d6 (diff)
downloadaur-3a84617f0027e71e781d3a9e44f0b157ad75c61c.tar.gz
Update to 3.0.0.
-rw-r--r--.SRCINFO12
-rw-r--r--PKGBUILD10
2 files changed, 11 insertions, 11 deletions
diff --git a/.SRCINFO b/.SRCINFO
index 751d01e153b1..6b443aae0d9e 100644
--- a/.SRCINFO
+++ b/.SRCINFO
@@ -1,16 +1,16 @@
pkgbase = python-spacy-de_core_news_md
- pkgdesc = German multi-task CNN trained on the TIGER and WikiNER corpora. Assigns word vectors, POS tags, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl).
- pkgver = 2.3.0
- pkgrel = 2
+ pkgdesc = German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
+ pkgver = 3.0.0
+ pkgrel = 1
url = https://spacy.io/models/de#de_core_news_md
arch = any
license = MIT
makedepends = python-setuptools
depends = python-spacy
- source = https://github.com/explosion/spacy-models/releases/download/de_core_news_md-2.3.0/de_core_news_md-2.3.0.tar.gz
+ source = https://github.com/explosion/spacy-models/releases/download/de_core_news_md-3.0.0/de_core_news_md-3.0.0.tar.gz
source = https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE
- sha256sums = 2636294e1e9351cca312a88659859d367684cca968a83b837525030078c8b14f
- sha256sums = 2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536
+ sha256sums = bd4e4b50ed30435e3f7d754d8a73972b59d83ddb8bf880548dd1d79e47a57b27
+ sha256sums = b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872
pkgname = python-spacy-de_core_news_md
diff --git a/PKGBUILD b/PKGBUILD
index 8937b218c524..e077b092254d 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,9 +1,9 @@
# Maintainer: J. Nathanael Philipp (jnphilipp) <nathanael@philipp.land>
pkgname=python-spacy-de_core_news_md
-pkgver=2.3.0
-pkgrel=2
-pkgdesc="German multi-task CNN trained on the TIGER and WikiNER corpora. Assigns word vectors, POS tags, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl)."
+pkgver=3.0.0
+pkgrel=1
+pkgdesc="German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer."
url="https://spacy.io/models/de#de_core_news_md"
depends=('python-spacy')
makedepends=('python-setuptools')
@@ -11,8 +11,8 @@ license=('MIT')
arch=(any)
source=("https://github.com/explosion/spacy-models/releases/download/de_core_news_md-${pkgver}/de_core_news_md-${pkgver}.tar.gz"
"https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE")
-sha256sums=("2636294e1e9351cca312a88659859d367684cca968a83b837525030078c8b14f"
- "2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536")
+sha256sums=("bd4e4b50ed30435e3f7d754d8a73972b59d83ddb8bf880548dd1d79e47a57b27"
+ "b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872")
build() {
cd de_core_news_md-${pkgver}