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s/##/#/ so I can debug with Halp.
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search.py

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@@ -126,7 +126,7 @@ def search(self, problem):
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abstract
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#______________________________________________________________________________
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## Uninformed Search algorithms
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# Uninformed Search algorithms
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def tree_search(problem, frontier):
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"""Search through the successors of a problem to find a goal.
@@ -234,7 +234,7 @@ def f(n):
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return best_first_graph_search(problem, f)
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#______________________________________________________________________________
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## Other search algorithms
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# Other search algorithms
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def recursive_best_first_search(problem, h=None):
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"[Fig. 3.26]"
@@ -558,8 +558,8 @@ def goal_test(self, state):
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for col in range(len(state)))
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#______________________________________________________________________________
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## Inverse Boggle: Search for a high-scoring Boggle board. A good domain for
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## iterative-repair and related search techniques, as suggested by Justin Boyan.
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# Inverse Boggle: Search for a high-scoring Boggle board. A good domain for
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# iterative-repair and related search techniques, as suggested by Justin Boyan.
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ALPHABET = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
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@@ -575,8 +575,8 @@ def random_boggle(n=4):
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random.shuffle(cubes)
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return map(random.choice, cubes)
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## The best 5x5 board found by Boyan, with our word list this board scores
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## 2274 words, for a score of 9837
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# The best 5x5 board found by Boyan, with our word list this board scores
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# 2274 words, for a score of 9837
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boyan_best = list('RSTCSDEIAEGNLRPEATESMSSID')
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@@ -743,7 +743,7 @@ def mutate_boggle(board):
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#______________________________________________________________________________
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## Code to compare searchers on various problems.
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# Code to compare searchers on various problems.
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class InstrumentedProblem(Problem):
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"""Delegates to a problem, and keeps statistics."""

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