fix __name__ being incorrect due to extra __all__

this fixes tracebacks and checks for __main__,
among other things.

.gitignore

@@ -4,4 +4,3 @@ __pycache__
 # work in progress:
 onn/component.py
 onn/extra.py
-onn/run.py

onn/activation.py

@@ -3,7 +3,7 @@ import numpy as np
 # just for speed, not strictly essential:
 from scipy.special import expit as sigmoid
 
-from .float import *
+from .float import _f, _1
 from .layer_base import *
 
 

onn/experimental.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f, _0, _1
 from .layer import Layer
 from .loss import Loss
 from .optimizer import Optimizer

onn/float.py

@@ -16,6 +16,3 @@ _inv2 = _f(1/2)
 _sqrt2 = _f(np.sqrt(2))
 _invsqrt2 = _f(1/np.sqrt(2))
 _pi = _f(np.pi)
-
-__all__ = [k for k, v in locals().items()
-           if not __import__('inspect').ismodule(v)]

onn/layer.py

@@ -1,6 +1,6 @@
 from .layer_base import *
 from .initialization import *
-from .float import *
+from .float import _f, _1
 
 
 # Nonparametric Layers {{{1

onn/learner.py

@@ -1,4 +1,4 @@
-from .float import *
+from .float import _f, _1, _pi, _inv2
 from .optimizer_base import *
 
 

onn/loss.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f
 
 
 class Loss:

onn/model.py

@@ -1,6 +1,6 @@
 import sys
 
-from .float import *
+from .float import _f, _0
 from .nodal import *
 from .layer_base import *
 from .utility import *

onn/optimizer.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f, _0, _1
 from .optimizer_base import *
 from .utility import *
 

onn/optimizer_base.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f
 
 
 class Optimizer:

onn/parametric.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f
 from .layer_base import *
 from .initialization import *
 

onn/regularizer.py

@@ -1,7 +1,7 @@
 import numpy as np
 
+from .float import _f, _0
 from .layer import Layer
-from .float import *
 
 
 class Regularizer:

onn/ritual.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from .float import *
+from .float import _f
 from .initialization import *
 from .ritual_base import *
 

onn/ritual_base.py

@@ -1,7 +1,7 @@
 import types
 import numpy as np
 
-from .float import *
+from .float import _f, _0
 
 
 class Ritual:  # i'm just making up names at this point.