math/py-numdifftools: New port: Solver of automatic numerical differentiation problems

math/Makefile

@@ -1068,6 +1068,7 @@
     SUBDIR += py-nevergrad
     SUBDIR += py-nlopt
     SUBDIR += py-numba-stats
+    SUBDIR += py-numdifftools
     SUBDIR += py-numexpr
     SUBDIR += py-numpoly
     SUBDIR += py-numpy

math/py-numdifftools/Makefile

@@ -0,0 +1,30 @@
+PORTNAME=	numdifftools
+DISTVERSION=	0.9.42
+CATEGORIES=	math python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	Solver for automatic numerical differentiation problems
+WWW=		https://github.com/pbrod/numdifftools/
+
+LICENSE=	BSD3CLAUSE
+LICENSE_FILE=	${WRKSRC}/LICENSE.txt
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pdm-backend>0:devel/py-pdm-backend@${PY_FLAVOR}
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.21.2:math/py-numpy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}scipy>=1.7.3:science/py-scipy@${PY_FLAVOR}
+TEST_DEPENDS=	${PYTHON_PKGNAMEPREFIX}hypothesis>=3.6:devel/py-hypothesis@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}statsmodels>=0.6:math/py-statsmodels@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	autoplist pep517 pytest
+
+NO_ARCH=	yes
+
+TEST_ENV=	${MAKE_ENV} MPLBACKEND=Agg PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
+PYTEST_ARGS=	--override-ini=addopts= src/numdifftools/tests/
+
+# tests as of 0.9.42: 116 passed, 28 skipped, 242 warnings in 12.80s
+
+.include <bsd.port.mk>

math/py-numdifftools/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1780681268
+SHA256 (numdifftools-0.9.42.tar.gz) = 866675171f293c4bf2f1e1c5bf9b88a07d5396903e3b3e7fcc3879e2a01cfbc1
+SIZE (numdifftools-0.9.42.tar.gz) = 79612

math/py-numdifftools/pkg-descr

@@ -0,0 +1,5 @@
+Numdifftools is a suite of tools written in Python to solve automatic
+numerical differentiation problems in one or more variables.  It
+provides functions for calculating derivatives, Jacobians, Hessians,
+and gradients, all with error estimates.  The methods are based on
+the complex-step derivative approximation and extrapolation algorithms.