1 files changed, 0 insertions, 77 deletions
diff --git a/numpy/random/examples/numba/extending.py b/numpy/random/examples/numba/extending.py
deleted file mode 100644
index d41c2d76f..000000000
--- a/numpy/random/examples/numba/extending.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import datetime as dt
-
-import numpy as np
-import numba as nb
-
-from numpy.random import PCG64
-
-x = PCG64()
-f = x.ctypes.next_uint32
-s = x.ctypes.state
-
-
-@nb.jit(nopython=True)
-def bounded_uint(lb, ub, state):
-    mask = delta = ub - lb
-    mask |= mask >> 1
-    mask |= mask >> 2
-    mask |= mask >> 4
-    mask |= mask >> 8
-    mask |= mask >> 16
-
-    val = f(state) & mask
-    while val > delta:
-        val = f(state) & mask
-
-    return lb + val
-
-
-print(bounded_uint(323, 2394691, s.value))
-
-
-@nb.jit(nopython=True)
-def bounded_uints(lb, ub, n, state):
-    out = np.empty(n, dtype=np.uint32)
-    for i in range(n):
-        out[i] = bounded_uint(lb, ub, state)
-
-
-bounded_uints(323, 2394691, 10000000, s.value)
-
-g = x.cffi.next_double
-cffi_state = x.cffi.state
-state_addr = x.cffi.state_address
-
-
-def normals(n, state):
-    out = np.empty(n)
-    for i in range((n + 1) // 2):
-        x1 = 2.0 * g(state) - 1.0
-        x2 = 2.0 * g(state) - 1.0
-        r2 = x1 * x1 + x2 * x2
-        while r2 >= 1.0 or r2 == 0.0:
-            x1 = 2.0 * g(state) - 1.0
-            x2 = 2.0 * g(state) - 1.0
-            r2 = x1 * x1 + x2 * x2
-        f = np.sqrt(-2.0 * np.log(r2) / r2)
-        out[2 * i] = f * x1
-        if 2 * i + 1 < n:
-            out[2 * i + 1] = f * x2
-    return out
-
-
-print(normals(10, cffi_state).var())
-# Warm up
-normalsj = nb.jit(normals, nopython=True)
-normalsj(1, state_addr)
-
-start = dt.datetime.now()
-normalsj(1000000, state_addr)
-ms = 1000 * (dt.datetime.now() - start).total_seconds()
-print('1,000,000 Polar-transform (numba/PCG64) randoms in '
-      '{ms:0.1f}ms'.format(ms=ms))
-
-start = dt.datetime.now()
-np.random.standard_normal(1000000)
-ms = 1000 * (dt.datetime.now() - start).total_seconds()
-print('1,000,000 Polar-transform (NumPy) randoms in {ms:0.1f}ms'.format(ms=ms))