textproc/py-sense2vec: Add py-sense2vec 2.0.2

sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn
more interesting and detailed word vectors. This library is a simple Python
implementation for loading, querying and training sense2vec models.

textproc/Makefile

@@ -1552,6 +1552,7 @@
     SUBDIR += py-rst2ansi
     SUBDIR += py-rst2html5
     SUBDIR += py-scour
+    SUBDIR += py-sense2vec
     SUBDIR += py-sentencepiece
     SUBDIR += py-simplebayes
     SUBDIR += py-smartypants

textproc/py-sense2vec/Makefile

@@ -0,0 +1,27 @@
+PORTNAME=	sense2vec
+PORTVERSION=	2.0.2
+CATEGORIES=	textproc python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet@FreeBSD.org
+COMMENT=	Contextually-keyed word vectors
+WWW=		https://github.com/explosion/sense2vec
+
+LICENSE=	MIT
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}catalogue>=2.0.1<2.1.0:devel/py-catalogue@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}numpy>=1.15.0,1:math/py-numpy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}spacy>=3.0.0<4.0.0:textproc/py-spacy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}srsly>=2.4.0<3.0.0:devel/py-srsly@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}wasabi>=0.8.1<1.2.0:textproc/py-wasabi@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	autoplist concurrent pep517
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

textproc/py-sense2vec/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1708448850
+SHA256 (sense2vec-2.0.2.tar.gz) = c7df6f89f74d83ed13c85998fe5792e836f7971e099af955211a6adefabaa768
+SIZE (sense2vec-2.0.2.tar.gz) = 61403

textproc/py-sense2vec/pkg-descr

@@ -0,0 +1,3 @@
+sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn
+more interesting and detailed word vectors. This library is a simple Python
+implementation for loading, querying and training sense2vec models.