diff --git a/examples/temporary_example.py b/examples/temporary_example.py
index 2ea68cfde0d555b1bfc4b021cec7c325f122bc0b..2444d3895cf43499ae5108ea16981e55a5989156 100644
--- a/examples/temporary_example.py
+++ b/examples/temporary_example.py
@@ -1,7 +1,3 @@
-import random
-import numpy as np
-import matplotlib.pyplot as plt
-
 from flatland.core.env import RailEnv
 from flatland.utils.rail_env_generator import *
 from flatland.utils.rendertools import *
diff --git a/flatland/core/env_observation_builder.py b/flatland/core/env_observation_builder.py
index 6e5dbbb4685c8a10e39af63adc90fbb506fcc653..1f97ff2b75674026ae98334a74aea6f9d1b60dbd 100644
--- a/flatland/core/env_observation_builder.py
+++ b/flatland/core/env_observation_builder.py
@@ -29,7 +29,6 @@ class TreeObsForRailEnv(ObservationBuilder):
         for i in range(self.env.number_of_agents):
             self.max_dist[i] = self._distance_map_walker(self.env.agents_target[i], i)
 
-
     def _distance_map_walker(self, position, target_nr):
         # Returns max distance to target, from the farthest away node, while filling in distance_map
 
@@ -55,9 +54,6 @@ class TreeObsForRailEnv(ObservationBuilder):
 
             node_id = (node[0], node[1], node[2])
 
-            #print(node_id, visited, (node_id in visited))
-            #print(nodes_queue)
-
             if node_id not in visited:
                 visited.add(node_id)
 
@@ -70,20 +66,18 @@ class TreeObsForRailEnv(ObservationBuilder):
                 for n in valid_neighbors:
                     nodes_queue.append(n)
 
-                if len(valid_neighbors)>0:
+                if len(valid_neighbors) > 0:
                     max_distance = max(max_distance, node[3]+1)
 
         return max_distance
 
-
     def _get_and_update_neighbors(self, position, target_nr, current_distance, enforce_target_direction=-1):
         neighbors = []
 
         for direction in range(4):
-            new_cell = self._new_position(position, (direction+2)%4)
+            new_cell = self._new_position(position, (direction+2) % 4)
 
-            if new_cell[0]>=0 and new_cell[0]<self.env.height and\
-                new_cell[1]>=0 and new_cell[1]<self.env.width:
+            if new_cell[0] >= 0 and new_cell[0] < self.env.height and new_cell[1] >= 0 and new_cell[1] < self.env.width:
                 # Check if the two cells are connected by a valid transition
                 transitionValid = False
                 for orientation in range(4):
@@ -99,7 +93,7 @@ class TreeObsForRailEnv(ObservationBuilder):
                 # lands in the current cell with orientation `direction'; this only
                 # applies to cells that are not dead-ends!
                 directionMatch = True
-                if enforce_target_direction>=0:
+                if enforce_target_direction >= 0:
                     directionMatch = self.env.rail.get_transition(
                         (new_cell[0], new_cell[1], direction), enforce_target_direction)
 
@@ -119,7 +113,7 @@ class TreeObsForRailEnv(ObservationBuilder):
                         # Check if transition is possible in new_cell
                         # with orientation (direction+2)%4 in direction `direction'
                         directionMatch = directionMatch or self.env.rail.get_transition(
-                            (new_cell[0], new_cell[1], (direction+2)%4), direction)
+                            (new_cell[0], new_cell[1], (direction+2) % 4), direction)
 
                 if transitionValid and directionMatch:
                     new_distance = min(self.distance_map[target_nr,
@@ -139,7 +133,6 @@ class TreeObsForRailEnv(ObservationBuilder):
         elif movement == 3:  # WEST
             return (position[0], position[1] - 1)
 
-
     def get(self, handle):
         # TODO: compute the observation for agent `handle'
         return []
@@ -193,7 +186,52 @@ class GlobalObsForRailEnv(ObservationBuilder):
         return self.rail_obs, obs_agents_targets_pos, direction
 
 
+class Tree_State:
+    """
+    Keep track of the current state while building the tree
+    """
+    def __init__(self, agent, position, direction, depth, distance):
+        self.agent = agent
+        self.position = position
+        self.direction = direction
+        self.depth = depth
+        self.initial_direction = None
+        self.distance = distance
+        self.data = [np.inf, np.inf, np.inf, np.inf, np.inf]
+
+
+class Node():
+    """
+    Define a tree node to get populated during search
+    """
+    def __init__(self, position, data):
+        self.n_children = 4
+        self.children = [None]*self.n_children
+        self.data = data
+        self.position = position
+
+    def insert(self, position, data, child_idx):
+        """
+        Insert new node with data
+
+        @param data node data object to insert
+        """
+        new_node = Node(position, data)
+        self.children[child_idx] = new_node
+        return new_node
 
+    def print_tree(self, i=0, depth=0):
+        """
+        Print tree content inorder
+        """
+        current_i = i
+        curr_depth = depth+1
+        if i < self.n_children:
+            if self.children[i] is not None:
+                self.children[i].print_tree(depth=curr_depth)
+            current_i += 1
+            if self.children[i] is not None:
+                self.children[i].print_tree(i, depth=curr_depth)
 
 
 """
@@ -339,52 +377,3 @@ class GlobalObsForRailEnv(ObservationBuilder):
 
 
 """
-
-
-class Tree_State:
-    """
-    Keep track of the current state while building the tree
-    """
-    def __init__(self, agent, position, direction, depth, distance):
-        self.agent = agent
-        self.position = position
-        self.direction = direction
-        self.depth = depth
-        self.initial_direction = None
-        self.distance = distance
-        self.data = [np.inf, np.inf, np.inf, np.inf, np.inf]
-
-class Node():
-    """
-    Define a tree node to get populated during search
-    """
-    def __init__(self, position, data):
-        self.n_children = 4
-        self.children = [None]*self.n_children
-        self.data = data
-        self.position = position
-
-    def insert(self, position, data, child_idx):
-        """
-        Insert new node with data
-
-        @param data node data object to insert
-        """
-        new_node = Node(position, data)
-        self.children[child_idx] = new_node
-        return new_node
-
-    def print_tree(self, i=0, depth = 0):
-        """
-        Print tree content inorder
-        """
-        current_i = i
-        curr_depth = depth+1
-        if i < self.n_children:
-            if self.children[i] != None:
-                self.children[i].print_tree(depth=curr_depth)
-            current_i += 1
-            if self.children[i] != None:
-                self.children[i].print_tree(i, depth=curr_depth)
-
-
diff --git a/tests/test_env_observation_builder.py b/tests/test_env_observation_builder.py
index a89df6cd1faf7aa293531b4689e0d89e5d8e4946..1a797de858beb064d1d5338b746bc0047adf6ba8 100644
--- a/tests/test_env_observation_builder.py
+++ b/tests/test_env_observation_builder.py
@@ -2,10 +2,8 @@
 # -*- coding: utf-8 -*-
 
 from flatland.core.env_observation_builder import GlobalObsForRailEnv
-# from flatland.core.transitions import Grid4Transitions
 from flatland.core.transition_map import GridTransitionMap, Grid4Transitions
 from flatland.core.env import RailEnv
-import numpy as np
 from flatland.utils.rendertools import *
 
 """Tests for `flatland` package."""
diff --git a/tests/test_environments.py b/tests/test_environments.py
index 03544b08196a609bc6d4ed92c393f0a72bfbab8c..a89133d25378fec20bb44e43b7c43ce0432f789a 100644
--- a/tests/test_environments.py
+++ b/tests/test_environments.py
@@ -177,11 +177,3 @@ def test_dead_end():
     rail_env.agents_position[0] = [2, 0]
     rail_env.agents_direction[0] = 0
     check_consistency(rail_env)
-
-
-
-
-
-
-test_dead_end()
-