Added test for SimpleReflexAgentProgram (#808)

* Added test for simpleReflexAgent

* Fixed a bug

* Fixed another bug

Author: nouman-10

README.md

@@ -63,7 +63,7 @@ Here is a table of algorithms, the figure, name of the algorithm in the book and
 | 2.3    | Table-Driven-Vacuum-Agent         | `TableDrivenVacuumAgent`      | [`agents.py`][agents]           | Done | Included |
 | 2.7    | Table-Driven-Agent                | `TableDrivenAgent`            | [`agents.py`][agents]           | Done | Included |
 | 2.8    | Reflex-Vacuum-Agent               | `ReflexVacuumAgent`           | [`agents.py`][agents]           | Done | Included |
-| 2.10   | Simple-Reflex-Agent               | `SimpleReflexAgent`           | [`agents.py`][agents]           |      | Included |
+| 2.10   | Simple-Reflex-Agent               | `SimpleReflexAgent`           | [`agents.py`][agents]           | Done | Included |
 | 2.12   | Model-Based-Reflex-Agent          | `ReflexAgentWithState`        | [`agents.py`][agents]           |      | Included |
 | 3      | Problem                           | `Problem`                     | [`search.py`][search]           | Done | Included |
 | 3      | Node                              | `Node`                        | [`search.py`][search]           | Done | Included |

tests/test_agents.py

@@ -2,7 +2,8 @@
 from agents import Direction
 from agents import Agent
 from agents import ReflexVacuumAgent, ModelBasedVacuumAgent, TrivialVacuumEnvironment, compare_agents,\
-                   RandomVacuumAgent, TableDrivenVacuumAgent, TableDrivenAgentProgram, RandomAgentProgram
+                   RandomVacuumAgent, TableDrivenVacuumAgent, TableDrivenAgentProgram, RandomAgentProgram, \
+		   SimpleReflexAgentProgram, rule_match
 
 
 random.seed("aima-python")
@@ -131,6 +132,38 @@ def test_ReflexVacuumAgent() :
     # check final status of the environment
     assert environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
 
+def test_SimpleReflexAgentProgram():
+    class Rule:
+        
+        def __init__(self, state, action):
+            self.__state = state
+            self.action = action
+            
+        def matches(self, state):
+            return self.__state == state
+        
+    loc_A = (0, 0)
+    loc_B = (1, 0)
+    
+    # create rules for a two state Vacuum Environment
+    rules = [Rule((loc_A, "Dirty"), "Suck"), Rule((loc_A, "Clean"), "Right"),
+            Rule((loc_B, "Dirty"), "Suck"), Rule((loc_B, "Clean"), "Left")]
+    
+    def interpret_input(state):
+        return state
+    
+    # create a program and then an object of the SimpleReflexAgentProgram
+    program = SimpleReflexAgentProgram(rules, interpret_input) 
+    agent = Agent(program)
+    # create an object of TrivialVacuumEnvironment
+    environment = TrivialVacuumEnvironment()
+    # add agent to the environment
+    environment.add_thing(agent)
+    # run the environment
+    environment.run()
+    # check final status of the environment
+    assert environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
+
 
 def test_ModelBasedVacuumAgent() :
     # create an object of the ModelBasedVacuumAgent