This is documentation for an old release of NumPy (version 1.19). Read this page in the documentation of the latest stable release (version 2.2).
Extending via CFFI¶
"""
Use cffi to access any of the underlying C functions from distributions.h
"""
import os
import numpy as np
import cffi
from .parse import parse_distributions_h
ffi = cffi.FFI()
inc_dir = os.path.join(np.get_include(), 'numpy')
# Basic numpy types
ffi.cdef('''
typedef intptr_t npy_intp;
typedef unsigned char npy_bool;
''')
parse_distributions_h(ffi, inc_dir)
lib = ffi.dlopen(np.random._generator.__file__)
# Compare the distributions.h random_standard_normal_fill to
# Generator.standard_random
bit_gen = np.random.PCG64()
rng = np.random.Generator(bit_gen)
state = bit_gen.state
interface = rng.bit_generator.cffi
n = 100
vals_cffi = ffi.new('double[%d]' % n)
lib.random_standard_normal_fill(interface.bit_generator, n, vals_cffi)
# reset the state
bit_gen.state = state
vals = rng.standard_normal(n)
for i in range(n):
assert vals[i] == vals_cffi[i]