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nouman-10norvig
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Added test for simpleProblemSolvingAgentProgram (#784)
* Added test for simpleProblemSolvingAgent * Some Style fixes * Fixed update_state in test_search.py
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tests/test_search.py

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@@ -201,6 +201,50 @@ def GA_GraphColoringInts(edges, fitness):
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return genetic_algorithm(population, fitness)
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def test_simpleProblemSolvingAgent():
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class vacuumAgent(SimpleProblemSolvingAgentProgram):
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def update_state(self, state, percept):
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return percept
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def formulate_goal(self, state):
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goal = [state7, state8]
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return goal
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def formulate_problem(self, state, goal):
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problem = state
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return problem
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def search(self, problem):
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if problem == state1:
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seq = ["Suck", "Right", "Suck"]
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elif problem == state2:
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seq = ["Suck", "Left", "Suck"]
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elif problem == state3:
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seq = ["Right", "Suck"]
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elif problem == state4:
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seq = ["Suck"]
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elif problem == state5:
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seq = ["Suck"]
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elif problem == state6:
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seq = ["Left", "Suck"]
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return seq
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state1 = [(0, 0), [(0, 0), "Dirty"], [(1, 0), ["Dirty"]]]
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state2 = [(1, 0), [(0, 0), "Dirty"], [(1, 0), ["Dirty"]]]
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state3 = [(0, 0), [(0, 0), "Clean"], [(1, 0), ["Dirty"]]]
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state4 = [(1, 0), [(0, 0), "Clean"], [(1, 0), ["Dirty"]]]
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state5 = [(0, 0), [(0, 0), "Dirty"], [(1, 0), ["Clean"]]]
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state6 = [(1, 0), [(0, 0), "Dirty"], [(1, 0), ["Clean"]]]
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state7 = [(0, 0), [(0, 0), "Clean"], [(1, 0), ["Clean"]]]
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state8 = [(1, 0), [(0, 0), "Clean"], [(1, 0), ["Clean"]]]
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a = vacuumAgent(state1)
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assert a(state6) == "Left"
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assert a(state1) == "Suck"
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assert a(state3) == "Right"
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# TODO: for .ipynb:
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"""

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