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authorJ. Nathanael Philipp2021-02-02 12:19:36 +0100
committerJ. Nathanael Philipp2021-02-02 12:19:36 +0100
commit1ec61a593ae25f645d09f6540ad9d21d55e61ba5 (patch)
treeaf8ad21eb65c9a27559cbbe4abcd8d7ae39caf77
parentb5952423dff67ba38f7388ae8bbf38930e622131 (diff)
downloadaur-1ec61a593ae25f645d09f6540ad9d21d55e61ba5.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 32329e784796..17d5aa95ee96 100644
--- a/.SRCINFO
+++ b/.SRCINFO
@@ -1,16 +1,16 @@
pkgbase = python-spacy-de_core_news_lg
- 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_lg
arch = any
license = MIT
makedepends = python-setuptools
depends = python-spacy
- source = https://github.com/explosion/spacy-models/releases/download/de_core_news_lg-2.3.0/de_core_news_lg-2.3.0.tar.gz
+ source = https://github.com/explosion/spacy-models/releases/download/de_core_news_lg-3.0.0/de_core_news_lg-3.0.0.tar.gz
source = https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE
- sha256sums = cd3c565cfb6dd3df535b109077466685986059b18387259cc1fa7cf2db833d66
- sha256sums = 2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536
+ sha256sums = 72e336a34c148ef3ef22cefa213894b3dfebca78ce9d64e0be42ec97f275fb68
+ sha256sums = b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872
pkgname = python-spacy-de_core_news_lg
diff --git a/PKGBUILD b/PKGBUILD
index 6c3248a52fef..1c1f6fd6bec8 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,9 +1,9 @@
# Maintainer: J. Nathanael Philipp (jnphilipp) <nathanael@philipp.land>
pkgname=python-spacy-de_core_news_lg
-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_lg"
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_lg-${pkgver}/de_core_news_lg-${pkgver}.tar.gz"
"https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE")
-sha256sums=("cd3c565cfb6dd3df535b109077466685986059b18387259cc1fa7cf2db833d66"
- "2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536")
+sha256sums=("72e336a34c148ef3ef22cefa213894b3dfebca78ce9d64e0be42ec97f275fb68"
+ "b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872")
build() {
cd de_core_news_lg-${pkgver}