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- #!/usr/bin/env python3
- #cython: language_level=3
- from libc.stdint cimport uint32_t
- from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
- import numpy as np
- cimport numpy as np
- cimport cython
- from numpy.random cimport bitgen_t
- from numpy.random import PCG64
- np.import_array()
- @cython.boundscheck(False)
- @cython.wraparound(False)
- def uniform_mean(Py_ssize_t n):
- cdef Py_ssize_t i
- cdef bitgen_t *rng
- cdef const char *capsule_name = "BitGenerator"
- cdef double[::1] random_values
- cdef np.ndarray randoms
- x = PCG64()
- capsule = x.capsule
- if not PyCapsule_IsValid(capsule, capsule_name):
- raise ValueError("Invalid pointer to anon_func_state")
- rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
- random_values = np.empty(n)
- # Best practice is to acquire the lock whenever generating random values.
- # This prevents other threads from modifying the state. Acquiring the lock
- # is only necessary if the GIL is also released, as in this example.
- with x.lock, nogil:
- for i in range(n):
- random_values[i] = rng.next_double(rng.state)
- randoms = np.asarray(random_values)
- return randoms.mean()
- # This function is declared nogil so it can be used without the GIL below
- cdef uint32_t bounded_uint(uint32_t lb, uint32_t ub, bitgen_t *rng) nogil:
- cdef uint32_t mask, delta, val
- mask = delta = ub - lb
- mask |= mask >> 1
- mask |= mask >> 2
- mask |= mask >> 4
- mask |= mask >> 8
- mask |= mask >> 16
- val = rng.next_uint32(rng.state) & mask
- while val > delta:
- val = rng.next_uint32(rng.state) & mask
- return lb + val
- @cython.boundscheck(False)
- @cython.wraparound(False)
- def bounded_uints(uint32_t lb, uint32_t ub, Py_ssize_t n):
- cdef Py_ssize_t i
- cdef bitgen_t *rng
- cdef uint32_t[::1] out
- cdef const char *capsule_name = "BitGenerator"
- x = PCG64()
- out = np.empty(n, dtype=np.uint32)
- capsule = x.capsule
- if not PyCapsule_IsValid(capsule, capsule_name):
- raise ValueError("Invalid pointer to anon_func_state")
- rng = <bitgen_t *>PyCapsule_GetPointer(capsule, capsule_name)
- with x.lock, nogil:
- for i in range(n):
- out[i] = bounded_uint(lb, ub, rng)
- return np.asarray(out)
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