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- import shutil
- from sympy.external import import_module
- from sympy.testing.pytest import skip
- from sympy.utilities._compilation.compilation import compile_link_import_strings
- numpy = import_module('numpy')
- cython = import_module('cython')
- _sources1 = [
- ('sigmoid.c', r"""
- #include <math.h>
- void sigmoid(int n, const double * const restrict in,
- double * const restrict out, double lim){
- for (int i=0; i<n; ++i){
- const double x = in[i];
- out[i] = x*pow(pow(x/lim, 8)+1, -1./8.);
- }
- }
- """),
- ('_sigmoid.pyx', r"""
- import numpy as np
- cimport numpy as cnp
- cdef extern void c_sigmoid "sigmoid" (int, const double * const,
- double * const, double)
- def sigmoid(double [:] inp, double lim=350.0):
- cdef cnp.ndarray[cnp.float64_t, ndim=1] out = np.empty(
- inp.size, dtype=np.float64)
- c_sigmoid(inp.size, &inp[0], &out[0], lim)
- return out
- """)
- ]
- def npy(data, lim=350.0):
- return data/((data/lim)**8+1)**(1/8.)
- def test_compile_link_import_strings():
- if not numpy:
- skip("numpy not installed.")
- if not cython:
- skip("cython not installed.")
- from sympy.utilities._compilation import has_c
- if not has_c():
- skip("No C compiler found.")
- compile_kw = {"std": 'c99', "include_dirs": [numpy.get_include()]}
- info = None
- try:
- mod, info = compile_link_import_strings(_sources1, compile_kwargs=compile_kw)
- data = numpy.random.random(1024*1024*8) # 64 MB of RAM needed..
- res_mod = mod.sigmoid(data)
- res_npy = npy(data)
- assert numpy.allclose(res_mod, res_npy)
- finally:
- if info and info['build_dir']:
- shutil.rmtree(info['build_dir'])
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