Restore testability

__Solution__: When running tests from the command line, ___always__ import the module `-m unittest` and use the verbose (`-v`) flag to see where Python is breaking up.
* Then you'll be able to trace down the problem.
* Do this a few times, and it will be reflex

demo.py

@@ -6,7 +6,7 @@
 import morph.nn as net
 from morph.layers.sparse import sparsify
 
-from morph._models import EasyMnist
+from morph.testing.models import EasyMnist
 
 
 def random_dataset():
@@ -19,7 +19,7 @@ def main():
 
     print(modified) # take a peek at the new layers. You take it from here
 
-    my_dataloader = DataLoader(random_dataset)
+    my_dataloader = DataLoader(random_dataset())
 
     # get back the class that will do work
     morphed = net.Morph(my_model, epochs=5, dataloader=my_dataloader)

morph/__init__.py

@@ -1 +1 @@
-from .nn.morph import once # facility tate "morph.once"
+from .nn import once # facilitate "morph.once"

morph/layers/widen.py

@@ -4,7 +4,7 @@
 import torch.nn as nn
 
 from ..nn.utils import layer_has_bias, redo_layer
-from .._utils import check, round
+from ..utils import check, round
 
 
 # NOTE: should factor be {smaller, default at all}?

morph/layers/widen_test.py

@@ -0,0 +1,24 @@
+import unittest
+
+from .widen import widen, nn
+from .._error import ValidationError
+
+
+class TestWiden_Functional(unittest.TestCase):
+
+    DUD_LINEAR = nn.Linear(1, 1)
+
+    def test_widen_width_factor_too_small_should_fail(self):
+        with self.assertRaises(ValidationError):
+            widen(self.DUD_LINEAR, 0.8)
+
+    def test_widen_width_factor_identity_should_fail(self):
+        with self.assertRaises(ValidationError):
+            widen(self.DUD_LINEAR, 1.0)
+
+    def test_widen_width_factor_increases_layer_generously(self):
+        pass
+
+
+if __name__ == "__main__":
+    unittest.main()

morph/nn/utils.py

@@ -1,11 +1,11 @@
 import torch.nn as nn
 
 from morph.nn._types import type_name, type_supported
-from morph._utils import check
+from morph.utils import check
 
 from typing import List, Tuple, TypeVar
 
-ML = TypeVar('MODULES', List[nn.Module])
+ML = List[nn.Module]
 # Type constrained to be the results of nn.Module.children() or ...named_children()
 CL = TypeVar('MODULE_CHILDREN_LIST', ML, List[Tuple[str, nn.Module]])
 

morph/utils_test.py

@@ -0,0 +1,19 @@
+import unittest
+
+from .utils import round
+
+class TestGlobalUtilities(unittest.TestCase):
+
+    def test_round_down(self):
+        test = 1.2
+        expected = 1
+        self.assertEqual(expected, round(test), '1.2 should round DOWN, to 1')
+
+    def test_round_up(self):
+        test = 1.7
+        expected = 2
+        self.assertEqual(expected, round(test), '1.7 should round UP, to 2')
+
+
+if __name__ == "__main__":
+    unittest.main()