Move j_steps and j_distribution out of conftest

- also move PRNG back into utils

meanas/test/conftest.py

@@ -2,9 +2,7 @@ from typing import List, Tuple
 import numpy
 import pytest
 
-
-PRNG = numpy.random.RandomState(12345)
-
+from .utils import PRNG
 
 #####################################
 #      Test fixtures
@@ -59,18 +57,6 @@ def j_mag(request):
     yield request.param
 
 
-@pytest.fixture(scope='module', params=['center', 'random'])
-def j_distribution(request, shape, j_mag):
-    j = numpy.zeros(shape)
-    if request.param == 'center':
-        j[:, shape[1]//2, shape[2]//2, shape[3]//2] = j_mag
-    elif request.param == '000':
-        j[:, 0, 0, 0] = j_mag
-    elif request.param == 'random':
-        j[:] = PRNG.uniform(low=-j_mag, high=j_mag, size=shape)
-    yield j
-
-
 @pytest.fixture(scope='module', params=[1.0, 1.5])
 def dx(request):
     yield request.param
@@ -82,11 +68,3 @@ def dxes(request, shape, dx):
         dxes = [[numpy.full(s, dx) for s in shape[1:]] for _ in range(2)]
     yield dxes
 
-
-@pytest.fixture(scope='module',
-                params=[(0, 4, 8),
-                        #(0,),
-                       ]
-                )
-def j_steps(request):
-    yield request.param

meanas/test/test_fdfd.py

@@ -5,7 +5,7 @@ import numpy
 from numpy.testing import assert_allclose, assert_array_equal
 
 from .. import fdfd, vec, unvec
-from .utils import assert_close, assert_fields_close
+from .utils import assert_close, assert_fields_close, PRNG
 
 
 def test_poynting_planes(sim):
@@ -53,6 +53,20 @@ def pmc(request):
     yield request.param
 
 
+@pytest.fixture(params=['center', 'diag'])
+def j_distribution(request, shape, j_mag):
+    j = numpy.zeros(shape, dtype=complex)
+    center_mask = numpy.zeros(shape, dtype=bool)
+    center_mask[:, shape[1]//2, shape[2]//2, shape[3]//2] = True
+
+    if request.param == 'center':
+        j[center_mask] = j_mag
+    elif request.param == 'diag':
+        j[numpy.roll(center_mask, [1, 1, 1], axis=(1, 2, 3))] = j_mag
+        j[numpy.roll(center_mask, [-1, -1, -1], axis=(1, 2, 3))] = -1j * j_mag
+    yield j
+
+
 @dataclasses.dataclass()
 class SimResult:
     shape: Tuple[int]
@@ -64,6 +78,7 @@ class SimResult:
     pmc: numpy.ndarray
     pec: numpy.ndarray
 
+
 @pytest.fixture()
 def sim(request, shape, epsilon, dxes, j_distribution, omega, pec, pmc):
 #    is3d = (numpy.array(shape) == 1).sum() == 0

meanas/test/test_fdtd.py

@@ -5,7 +5,7 @@ import numpy
 from numpy.testing import assert_allclose, assert_array_equal
 
 from .. import fdtd
-from .utils import assert_close, assert_fields_close
+from .utils import assert_close, assert_fields_close, PRNG
 
 
 def test_initial_fields(sim):
@@ -157,6 +157,23 @@ class SimResult:
     js: List[numpy.ndarray] = dataclasses.field(default_factory=list)
 
 
+@pytest.fixture(params=[(0, 4, 8),]) #(0,)])
+def j_steps(request):
+    yield request.param
+
+
+@pytest.fixture(params=['center', 'random'])
+def j_distribution(request, shape, j_mag):
+    j = numpy.zeros(shape)
+    if request.param == 'center':
+        j[:, shape[1]//2, shape[2]//2, shape[3]//2] = j_mag
+    elif request.param == '000':
+        j[:, 0, 0, 0] = j_mag
+    elif request.param == 'random':
+        j[:] = PRNG.uniform(low=-j_mag, high=j_mag, size=shape)
+    yield j
+
+
 @pytest.fixture()
 def sim(request, shape, epsilon, dxes, dt, j_distribution, j_steps):
     is3d = (numpy.array(shape) == 1).sum() == 0

meanas/test/utils.py

@@ -1,5 +1,6 @@
 import numpy
 
+PRNG = numpy.random.RandomState(12345)
 
 def assert_fields_close(x, y, *args, **kwargs):
     numpy.testing.assert_allclose(x, y, verbose=False,