New port: math/py-fastdtw: Dynamic Time Warping (DTW) algorithm with an O(N) complexity

math/Makefile

@@ -680,6 +680,7 @@
     SUBDIR += py-cvxopt
     SUBDIR += py-cyipopt
     SUBDIR += py-fastcluster
+    SUBDIR += py-fastdtw
     SUBDIR += py-ffc
     SUBDIR += py-fiat
     SUBDIR += py-fpconst

math/py-fastdtw/Makefile

@@ -0,0 +1,27 @@
+# $FreeBSD$
+
+PORTNAME=	fastdtw
+DISTVERSIONPREFIX=	v
+DISTVERSION=	0.3.2
+CATEGORIES=	math python
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	Dynamic Time Warping (DTW) algorithm with an O(N) complexity
+
+LICENSE=	GPLv3
+xLICENSE_FILE=	${WRKSRC}/LICENSE
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pytest-runner>0:devel/py-pytest-runner@${PY_FLAVOR}
+RUN_DEPENDS=	${PYNUMPY}
+TEST_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pytest>0:devel/py-pytest@${PY_FLAVOR}
+
+USES=		python
+USE_GITHUB=	yes # tests are only on github
+GH_ACCOUNT=	slaypni
+USE_PYTHON=	distutils cython autoplist
+
+do-test: # tests fail: https://github.com/slaypni/fastdtw/issues/23
+	@cd ${WRKSRC} && ${PYTHON_CMD} -m pytest
+
+.include <bsd.port.mk>

math/py-fastdtw/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1537517761
+SHA256 (slaypni-fastdtw-v0.3.2_GH0.tar.gz) = 3c0efb7acb05892ebe086f26ec844c0ff60c4ec12c093c6d5217f30537df44cb
+SIZE (slaypni-fastdtw-v0.3.2_GH0.tar.gz) = 122086

math/py-fastdtw/pkg-descr

@@ -0,0 +1,7 @@
+Python implementation of FastDTW [1], which is an approximate Dynamic Time
+Warping (DTW) algorithm that provides optimal or near-optimal alignments
+with an O(N) time and memory complexity.
+
+[1] http://cs.fit.edu/~pkc/papers/tdm04.pdf
+
+WWW: https://github.com/slaypni/fastdtw