[SciPy-Dev] Generate random variates using Cython

Andrew Nelson andyfaff at gmail.com
Wed Jan 22 21:58:31 EST 2020


Christoph, this might give you a headstart.

%%cython

import numpy as np
cimport numpy as np
cimport cython
from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
from numpy.random cimport bitgen_t
from numpy.random import PCG64


@cython.boundscheck(False)
@cython.wraparound(False)
def rvs(rand_state, Py_ssize_t n):
    """
    Create an array of `n` uniformly distributed doubles.
    A 'real' distribution would want to process the values into
    some non-uniform distribution
    """
    cdef Py_ssize_t i
    cdef bitgen_t *rng
    cdef const char *capsule_name = "BitGenerator"
    cdef double[::1] random_values

    if isinstance(rand_state, np.random.RandomState):
        randoms = rand_state.uniform(size=n)
    elif isinstance(rand_state, np.random.Generator):
        x = rand_state.bit_generator
        capsule = x.capsule
        # Optional check that the capsule if from a BitGenerator
        if not PyCapsule_IsValid(capsule, capsule_name):
            raise ValueError("Invalid pointer to anon_func_state")
        # Cast the pointer
        rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
        random_values = np.empty(n, dtype='float64')
        with x.lock, nogil:
            for i in range(n):
                # Call the function
                random_values[i] = rng.next_double(rng.state)
        randoms = np.asarray(random_values)
    else:
        raise RuntimeError("rand_state wasn't a RandomState or Generator")

    return randoms
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