wrapping a lapacke function using cython

In fact, if I change

info = LAPACKE_dgtsv(LAPACK_ROW_MAJOR, ...)

info = LAPACKE_dgtsv(LAPACK_COL_MAJOR, ...)

then my function works:

test_trisolve2.test_trisolve()
0
   ||
   x - x_hat || = 6.67064747632e-12

Suggestion : 2

Last Updated : 29 Mar, 2019

Output :

GCD : 4

Division : (4, 2)

Average : 2.0

pt1 : <capsule object "Point" at 0x1005d1e70>

   pt2 : <capsule object "Point" at 0x1005d1ea0>

      Distance between the two points : 2.8284271247461903

Suggestion : 3

Updated: May 03, 2018

void hello(const char * name) {
   printf("hello %s\n", name);
}

$ gcc - c examples.c
$ ar rcs libexamples.a examples.o

CC = gcc

default: libexamples.a

libexamples.a: examples.o
ar rcs $ @ $ ^

   examples.o: examples.c examples.h
$(CC) - c $ <

   clean:
   rm * .o * .a

$ pip3 install cython

cdef extern from "examples.h":
   void hello(const char * name)

def py_hello(name: bytes) - > None:
   hello(name)

from distutils.core
import setup
from distutils.extension
import Extension
from Cython.Build
import cythonize

examples_extension = Extension(
   name = "pyexamples",
   sources = ["pyexamples.pyx"],
   libraries = ["examples"],
   library_dirs = ["lib"],
   include_dirs = ["lib"]
)
setup(
   name = "pyexamples",
   ext_modules = cythonize([examples_extension])
)

Suggestion : 4

I am writing a Python module that includes Cython extensions and uses LAPACK (and BLAS). I am open to using either clapack or lapacke, or some kind of f2c or f2py solution if necessary. What is important is that I am able to call lapack and blas routines from Cython in tight loops without Python call overhead., 6 days ago Distributing Cython based extensions using LAPACK. Iterate through table rows and print column text with Python Selenium. What is the best way to map windows drives using … ,This works because, on my macbook, the clapack.h header file is in the same directory as cblas.h. I can then do this in my pyx file:, Note that some legacy builtins are automatically remapped from their Python 2 names to their Python 3 names by Cython when building in Python 3.x, so that they do not get in the way even if this option is enabled. Cython.Compiler.Options.gcc_branch_hints=True¶

from distutils.core
import setup from distutils.extension
import Extension from Cython.Distutils
import build_ext
import numpy from Cython.Build
import cythonize from numpy.distutils.system_info
import get_info # TODO: This cannot be the right way blas_include = get_info('blas_opt')['extra_compile_args'][1][2: ] includes = [blas_include, numpy.get_include()] setup(cmdclass = {
   'build_ext': build_ext
}, ext_modules = cythonize([Extension("cylapack", ["cylapack.pyx"], include_dirs = includes, libraries = ['blas', 'lapack'])]))

from distutils.core
import setup from distutils.extension
import Extension from Cython.Distutils
import build_ext
import numpy from Cython.Build
import cythonize from numpy.distutils.system_info
import get_info # TODO: This cannot be the right way blas_include = get_info('blas_opt')['extra_compile_args'][1][2: ] includes = [blas_include, numpy.get_include()] setup(cmdclass = {
   'build_ext': build_ext
}, ext_modules = cythonize([Extension("cylapack", ["cylapack.pyx"], include_dirs = includes, libraries = ['blas', 'lapack'])]))

ctypedef np.int32_t integer cdef extern from "cblas.h": double cblas_dnrm2(int N, double * X, int incX) cdef extern from "clapack.h": integer dgelsy_(integer * m, integer * n, integer * nrhs, double * a, integer * lda, double * b, integer * ldb, integer * jpvt, double * rcond, integer * rank, double * work, integer * lwork, integer * info)

from scipy.linalg.cython_blas cimport dnrm2 from scipy.linalg.cython_lapack cimport dgelsy