move random_array to new file setup_fixtures.py

fixtures.py

@@ -92,9 +92,6 @@ def f_array(queue, *shape):
     ary = np.random.random_sample(shape).astype(np.float32).copy(order="F")
     return cl.array.to_device(queue, ary)
 
-def random_array(*args):
-    return np.random.random_sample(args).astype(np.float32).copy(order="F")
-
 def mult_mat_vec(ctx_factory, alpha, a, b):
     queue = get_queue(ctx_factory)
 

setup_fixtures.py

+import numpy as np
+
+
+def random_array(*shape):
+    return np.random.random_sample(shape).astype(np.float32).copy(order="F")

test.py

@@ -16,17 +16,18 @@ from pyopencl.tools import (  # noqa
 
 import fixtures
 import comparison_fixtures as compare
+import setup_fixtures as setup
 
 def test_matvec(ctx_factory):
-    a = fixtures.random_array(10, 10)
-    b = fixtures.random_array(10)
+    a = setup.random_array(10, 10)
+    b = setup.random_array(10)
 
     c = fixtures.mult_mat_vec(ctx_factory, a=a, b=b, alpha=1.0)
 
     compare.arrays(a@b, c)
 
 
-@pytest.mark.skip("slow")
+#@pytest.mark.skip("slow")
 def test_compute_flux_derivatives(ctx_factory):
     logging.basicConfig(level="INFO")
 
@@ -36,10 +37,10 @@ def test_compute_flux_derivatives(ctx_factory):
     ny = 10
     nz = 10
 
-    states = fixtures.random_array(nvars, nx+6, ny+6, nz+6)
-    fluxes = fixtures.random_array(nvars, ndim, nx+6, ny+6, nz+6)
-    metrics = fixtures.random_array(ndim, ndim, nx+6, ny+6, nz+6)
-    metric_jacobians = fixtures.random_array(nx+6, ny+6, nz+6)
+    states = setup.random_array(nvars, nx+6, ny+6, nz+6)
+    fluxes = setup.random_array(nvars, ndim, nx+6, ny+6, nz+6)
+    metrics = setup.random_array(ndim, ndim, nx+6, ny+6, nz+6)
+    metric_jacobians = setup.random_array(nx+6, ny+6, nz+6)
 
     fixtures.compute_flux_derivatives(ctx_factory,
             nvars=nvars, ndim=ndim, nx=nx, ny=ny, nz=nz,