mirror of https://github.com/pyodide/pyodide.git
PKG Add nlopt package (#1034)
This commit is contained in:
Michael Greminger
GitHub
parent
7ac95d0259
commit
3e89750d16
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@ -19,6 +19,7 @@ Additional build prerequisites are:
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- PyYAML
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- FreeType 2 development libraries to compile Matplotlib.
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- Cython to compile SciPy
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- SWIG to compile NLopt
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- gfortran (GNU Fortran 95 compiler)
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- [f2c](http://www.netlib.org/f2c/)
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- [ccache](https://ccache.samba.org) (optional) *highly* recommended for much faster rebuilds.
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@ -30,6 +31,7 @@ On Mac, you will also need:
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- coreutils for md5sum and other essential Unix utilities (`brew install coreutils`)
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- cmake (`brew install cmake`)
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- Cython to compile SciPy (`brew install cython`)
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- SWIG to compile NLopt (`brew install swig`)
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- pkg-config (`brew install pkg-config`)
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- openssl (`brew install openssl`)
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- gfortran (`brew cask install gfortran`)
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@ -0,0 +1,23 @@
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package:
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name: nlopt
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version: 2.7.0
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source:
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url: https://github.com/stevengj/nlopt/archive/v2.7.0.tar.gz
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sha256: b881cc2a5face5139f1c5a30caf26b7d3cb43d69d5e423c9d78392f99844499f
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extras:
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-
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- src/setup.py
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- ./setup.py
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requirements:
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run:
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- numpy
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build:
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cxxflags: -std=c++11
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test:
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imports:
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- nlopt
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@ -0,0 +1,159 @@
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#!/usr/bin/env python
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import os
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import re
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from pathlib import Path
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from subprocess import check_call
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from setuptools import setup, Extension
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from setuptools.command.build_py import build_py
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from numpy import get_include
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def create_pkg_directory():
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with open("CMakeLists.txt") as f:
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content = f.read()
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version = []
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for s in ("MAJOR", "MINOR", "BUGFIX"):
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m = re.search(f"NLOPT_{s}_VERSION *['\"](.+)['\"]", content)
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version.append(m.group(1))
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version = ".".join(version)
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pkg_folder = Path("nlopt")
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pkg_folder.mkdir(exist_ok=True)
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with (pkg_folder / "__init__.py").open("w") as f:
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f.write(
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f"""
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from .nlopt import *
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__version__ = '{version}'
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""".strip()
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+ "\n"
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)
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return version
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def configure_with_cmake():
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# There are 2 header files that are created by cmake (nlopt_config.h
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# and nlopt.hpp)
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# cmake is used to configure only, actual compile will be handled
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# by setuptools build_ext
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cmd = [
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"emcmake",
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"cmake",
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"-LAH",
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"-DNLOPT_GUILE=OFF",
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"-DNLOPT_MATLAB=OFF",
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"-DNLOPT_OCTAVE=OFF",
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".",
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]
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check_call(cmd, env=os.environ)
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# Need to generate nlopt.hpp
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cmd = [
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"emcmake",
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"cmake",
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"-DAPI_SOURCE_DIR=./src/api",
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"-P",
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"./cmake/generate-cpp.cmake",
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]
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check_call(cmd, env=os.environ)
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version = create_pkg_directory()
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class build_py_after_build_ext(build_py):
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def run(self):
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configure_with_cmake()
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self.run_command("build_ext")
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return super().run()
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setup(
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name="nlopt",
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version=version,
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packages=["nlopt"],
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install_requires=["numpy >=1.14"],
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ext_modules=[
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Extension(
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"nlopt._nlopt",
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[
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"src/algs/direct/DIRect.c",
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"src/algs/direct/direct_wrap.c",
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"src/algs/direct/DIRserial.c",
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"src/algs/direct/DIRsubrout.c",
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"src/algs/cdirect/cdirect.c",
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"src/algs/cdirect/hybrid.c",
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"src/algs/praxis/praxis.c",
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"src/algs/luksan/plis.c",
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"src/algs/luksan/plip.c",
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"src/algs/luksan/pnet.c",
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"src/algs/luksan/mssubs.c",
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"src/algs/luksan/pssubs.c",
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"src/algs/crs/crs.c",
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"src/algs/mlsl/mlsl.c",
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"src/algs/mma/mma.c",
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"src/algs/mma/ccsa_quadratic.c",
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"src/algs/cobyla/cobyla.c",
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"src/algs/newuoa/newuoa.c",
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"src/algs/neldermead/nldrmd.c",
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"src/algs/neldermead/sbplx.c",
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"src/algs/auglag/auglag.c",
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"src/algs/bobyqa/bobyqa.c",
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"src/algs/isres/isres.c",
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"src/algs/slsqp/slsqp.c",
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"src/algs/esch/esch.c",
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"src/api/general.c",
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"src/api/options.c",
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"src/api/optimize.c",
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"src/api/deprecated.c",
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"src/api/f77api.c",
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"src/util/mt19937ar.c",
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"src/util/sobolseq.c",
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"src/util/timer.c",
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"src/util/stop.c",
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"src/util/redblack.c",
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"src/util/qsort_r.c",
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"src/util/rescale.c",
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"src/algs/stogo/global.cc",
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"src/algs/stogo/linalg.cc",
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"src/algs/stogo/local.cc",
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"src/algs/stogo/stogo.cc",
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"src/algs/stogo/tools.cc",
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"src/algs/ags/evolvent.cc",
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"src/algs/ags/solver.cc",
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"src/algs/ags/local_optimizer.cc",
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"src/algs/ags/ags.cc",
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"src/swig/nlopt.i",
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],
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include_dirs=[
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"./src/util",
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"./",
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"./src/api",
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"./src/algs/praxis",
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"./src/algs/direct",
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"./src/algs/stogo",
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"./src/algs/ags",
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"./src/algs/cdirect",
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"./src/algs/luksan",
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"./src/algs/crs",
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"./src/algs/mlsl",
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"./src/algs/mma",
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"./src/algs/cobyla",
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"./src/algs/newuoa",
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"./src/algs/neldermead",
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"./src/algs/auglag",
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"./src/algs/bobyqa",
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"./src/algs/isres",
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"./src/algs/esch",
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"./src/algs/slsqp",
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get_include(),
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],
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swig_opts=["-c++", "-interface", "_nlopt", "-outdir", "./nlopt"],
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)
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],
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zip_safe=False,
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cmdclass={"build_py": build_py_after_build_ext},
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)
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@ -0,0 +1,50 @@
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def test_nlopt(selenium):
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selenium.load_package("nlopt")
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assert selenium.run(
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"""
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import numpy as np
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import nlopt
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# objective function
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def f(x, grad):
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x0 = x[0]
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x1 = x[1]
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y = 67.8306620138889-13.5689721666667*x0-3.83269458333333*x1+\
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0.720841066666667*x0**2+0.3427605*x0*x1+\
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0.0640322916666664*x1**2
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grad[0] = 1.44168213333333*x0 + 0.3427605*x1 - 13.5689721666667
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grad[1] = 0.3427605*x0 + 0.128064583333333*x1 - 3.83269458333333
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return y
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# inequality constraint (constrained to be <= 0)
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def h(x, grad):
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x0 = x[0]
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x1 = x[1]
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z = -3.72589930555515+128.965158333333*x0+0.341479166666643*x1-\
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0.19642666666667*x0**2+2.78692500000002*x0*x1-\
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0.0000104166666686543*x1**2-468.897287036862
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grad[0] = -0.39285333333334*x0 + 2.78692500000002*x1 + 128.965158333333
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grad[1] = 2.78692500000002*x0 - 2.08333333373086e-5*x1 + 0.341479166666643
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return z
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opt = nlopt.opt(nlopt.LD_SLSQP, 2)
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opt.set_min_objective(f)
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opt.set_lower_bounds(np.array([2.5, 7]))
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opt.set_upper_bounds(np.array([7.5, 15]))
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opt.add_inequality_constraint(h)
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opt.set_ftol_rel(1.0e-6)
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x0 = np.array([5, 11])
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xopt = opt.optimize(x0)
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np.linalg.norm(xopt - np.array([2.746310775, 15.0])) < 1e-7
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"""
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)
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