Removed traling whitespaces and double newline at eof

share/lib/python/neuron/__init__.py

@@ -408,12 +408,12 @@ def init():
 
     Use h.finitialize() instead, which allows you to specify the membrane potential
     to initialize to; via e.g. h.finitialize(-65)
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+
     By default, the units used by h.finitialize are in mV, but you can be explicit using
     NEURON's unit's library, e.g.
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+
     .. code-block:: python
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+
         from neuron.units import mV
         h.finitialize(-65 * mV)
 
@@ -427,28 +427,28 @@ def run(tstop):
     function run(tstop)
 
     Run the simulation (advance the solver) until tstop [ms]
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+
     `h.run()` and `h.continuerun(tstop)` are more powerful solutions defined in the `stdrun.hoc` library.
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+
     ** This function exists for historical purposes. Use in new code is not recommended. **
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+
     For running a simulation, consider doing the following instead:
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     Begin your code with
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     .. code-block:: python
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         from neuron import h
         from neuron.units import ms, mV
         h.load_file('stdrun.hoc')
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     Then when it is time to initialize and run the simulation:
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     .. code-block:: python
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         h.finitialize(-65 * mV)
         h.continuerun(100 * ms)
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+
     where the initial membrane potential and the simulation run time are adjusted as appropriate
     for your model.
 
@@ -746,7 +746,7 @@ class _RangeVarPlot(_WrapperPlot):
     fig.show()
 
     pyplot.show()
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+
     # plotnine/ggplot
     p9.ggplot() + r.plot(p9)
 
@@ -1010,10 +1010,10 @@ def mark(self, segment, marker='or', **kwargs):
       if secs is None:
         secs = list(h.allsec())
 
-      
+
       if variable is None:
         kwargs.setdefault('color', 'black')
-        
+
         data = []
         for sec in secs:
           xs = [sec.x3d(i) for i in range(sec.n3d())]
@@ -1342,7 +1342,7 @@ def _nrnpy_rvp_pyobj_callback(f):
   f_type = str(type(f))
   if f_type not in ("<class 'neuron.rxd.species.SpeciesOnRegion'>", "<class 'neuron.rxd.species.Species'>"):
     return f
-  
+
   # if we're here, f is an rxd variable, and we return a function that looks
   # up the weighted average concentration given an x and h.cas()
   # this is not particularly efficient so it is probably better to use this for
@@ -1382,4 +1382,3 @@ def clear_gui_callback():
     nrnpy_set_gui_callback(None)
   except:
     pass
-