MAINT: move numpy/random/examples -> numpy/random/_examples

1 files changed, 0 insertions, 63 deletions

diff --git a/numpy/random/examples/cython/extending_distributions.pyx b/numpy/random/examples/cython/extending_distributions.pyx
deleted file mode 100644
index d17da45c1..000000000
--- a/numpy/random/examples/cython/extending_distributions.pyx
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python
-#cython: language_level=3
-"""
-This file shows how the to use a BitGenerator to create a distribution.
-"""
-import numpy as np
-cimport numpy as np
-cimport cython
-from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
-from numpy.random._bit_generator cimport bitgen_t
-from numpy.random import PCG64
-
-
-@cython.boundscheck(False)
-@cython.wraparound(False)
-def uniforms(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
-
-    x = PCG64()
-    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)
-
-    return randoms
- 
-# cython example 2
-
-@cython.boundscheck(False)
-@cython.wraparound(False)
-def uint16_uniforms(Py_ssize_t n):
-    cdef Py_ssize_t i
-    cdef bitgen_t *rng
-    cdef const char *capsule_name = "BitGenerator"
-    cdef double[::1] random_values
-
-    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, dtype='uint32')
-    # Best practice is to release GIL and acquire the lock
-    with x.lock, nogil:
-        for i in range(n):
-            random_values[i] = rng.next_uint32(rng.state)
-    randoms = np.asarray(random_values)
-    return randoms