Correct doc

doc/source/moving.rst

@@ -7,6 +7,7 @@ Overview
 
 Close-loop agent
 ****************
+
 Online rendering
 ================
 .. autoclass:: navipy.moving.agent.CyberBeeAgent

navipy/__init__.py

@@ -29,12 +29,12 @@ To control, an agent, the Brain should have a function called velocity.
 For example, an stationary agent should always return a null velocity.
 
 .. literalinclude:: example/brain/static_brain.py
-   :lines: 3,7-15
+   :lines: 3,9-17
 
 An agent using an average skyline homing vector, could be build as follow
 
 .. literalinclude:: example/brain/asv_brain.py
-   :lines: 3,7-34
+   :lines: 4-5,11-36
 
 """
 from navipy.database import DataBaseLoad

navipy/moving/__init__.py

@@ -7,6 +7,7 @@ A standard method to move an agent is to update:
 2. deduce the agent motion :math:`vdt` from this information
 3. displace the agent by motion ( :math:`x \rightarrow x + vdt`)
 
+
 The use of a close loop model including visual rendering is \
 sometimes too slow to efficiently test several models or tune the \
 parameters of a given models. The GridAgent solves this problem by \

navipy/moving/agent.py

@@ -146,6 +146,8 @@ GridAgent is a close loop agent here its position is snap to a grid.
     GridAgent inherit from the Process \
     class of the multiprocessing module of the standard python \
     library. Thus, several GridAgents can safely be run in parallel.
+
+
     """
 
     def __init__(self, brain,
@@ -249,6 +251,8 @@ class GraphAgent():
 1. pre-rendered scene from a database to derive \
 the agent motion, or
 2. pre-computed agent-motion
+
+
     """
 
     def __init__(self, brain):