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Add test to evaluate complex cases
Browse filesUpdate state update to take into account those complex cases
- wordle_env/state.py +3 -0
- wordle_env/test_wordle.py +83 -12
- wordle_env/wordle.py +1 -1
wordle_env/state.py
CHANGED
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@@ -170,5 +170,8 @@ def update(state: WordleState, word: str, goal_word: str) -> Tuple[WordleState,
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elif c not in goal_word:
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# Char at all positions = no
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state[offset:offset + 3 * WORDLE_N] = [1, 0, 0] * WORDLE_N
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processed_letters.append(c)
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return state, reward
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elif c not in goal_word:
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# Char at all positions = no
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state[offset:offset + 3 * WORDLE_N] = [1, 0, 0] * WORDLE_N
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else: # goal_word.count(c) <= processed_letters.count(c) and goal in word
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# Only information at this point is that char at position i = no
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state[offset + 3 * i:offset + 3 * i + 3] = [1, 0, 0]
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processed_letters.append(c)
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return state, reward
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wordle_env/test_wordle.py
CHANGED
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@@ -10,12 +10,10 @@ TESTWORDS = [
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"APAPD",
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"BPPAB",
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"
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"
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"
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"CPPAC",
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"CPPAD",
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]
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@@ -29,11 +27,11 @@ def wordleEnv():
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def test_reset(wordleEnv):
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wordleEnv.reset(
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def test_guess_win(wordleEnv):
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wordleEnv.reset(
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goal = wordleEnv.goal_word
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new_state, reward, done, _ = wordleEnv.step(goal)
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assert done
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@@ -48,7 +46,7 @@ def test_guess_win(wordleEnv):
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def test_win_reward(wordleEnv):
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wordleEnv.reset(
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goal = wordleEnv.goal_word
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word_index = (goal + 1) % len(wordleEnv.words)
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new_state, reward, done, _ = wordleEnv.step(word_index)
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@@ -71,7 +69,7 @@ def test_win_reward(wordleEnv):
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def test_win_reward_6(wordleEnv):
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wordleEnv.reset(
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goal = wordleEnv.goal_word
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random_word = (goal + 1) % len(wordleEnv.words)
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@@ -87,7 +85,7 @@ def test_win_reward_6(wordleEnv):
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def test_lose_reward(wordleEnv):
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wordleEnv.reset(
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goal = wordleEnv.goal_word
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random_word = (goal + 1) % len(wordleEnv.words)
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for i in range(1, wordleEnv.max_turns):
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@@ -116,7 +114,7 @@ def letter_test(char, state, letter_state):
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assert tuple(state[offset:offset+15]) == letter_state
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def test_step(wordleEnv):
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wordleEnv.reset(
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wordleEnv.set_goal_encoded(0)
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cur_state = wordleEnv.state
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@@ -220,3 +218,76 @@ def test_step(wordleEnv):
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assert done
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assert wordleEnv.done
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assert reward == wordle.REWARD
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"APAPD",
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"BPPAB",
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"PPAPB",
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"PPBBA",
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"BPABB",
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"PPPAC"
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]
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def test_reset(wordleEnv):
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wordleEnv.reset()
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def test_guess_win(wordleEnv):
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wordleEnv.reset()
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goal = wordleEnv.goal_word
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new_state, reward, done, _ = wordleEnv.step(goal)
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assert done
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def test_win_reward(wordleEnv):
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wordleEnv.reset()
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goal = wordleEnv.goal_word
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word_index = (goal + 1) % len(wordleEnv.words)
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new_state, reward, done, _ = wordleEnv.step(word_index)
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def test_win_reward_6(wordleEnv):
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wordleEnv.reset()
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goal = wordleEnv.goal_word
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random_word = (goal + 1) % len(wordleEnv.words)
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def test_lose_reward(wordleEnv):
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wordleEnv.reset()
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goal = wordleEnv.goal_word
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random_word = (goal + 1) % len(wordleEnv.words)
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for i in range(1, wordleEnv.max_turns):
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assert tuple(state[offset:offset+15]) == letter_state
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def test_step(wordleEnv):
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wordleEnv.reset()
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wordleEnv.set_goal_encoded(0)
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cur_state = wordleEnv.state
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assert done
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assert wordleEnv.done
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assert reward == wordle.REWARD
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def test_special_step_cases(wordleEnv):
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wordleEnv.reset()
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wordleEnv.set_goal_encoded(4)
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# BPPAB - goal
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# PPAPB - 1st guess
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new_state, _, _, _ = wordleEnv.step(5)
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# Expect A to be all maybe except 2, 1 and 4 that are no
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letter_state = (0, 1, 0,
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1, 0, 0,
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1, 0, 0,
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0, 1, 0,
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1, 0, 0)
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letter_test('A', new_state, letter_state)
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# Expect B to be all 0 except 4 that is yes and 1 that is no
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letter_state = (0, 0, 0,
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1, 0, 0,
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0, 0, 0,
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0, 0, 0,
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0, 0, 1)
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letter_test('B', new_state, letter_state)
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# Expect P to be yes at 1, maybe at 2 and 4, and no in 0, 3 and 4
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letter_state = (1, 0, 0,
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0, 0, 1,
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0, 1, 0,
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1, 0, 0,
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1, 0, 0)
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letter_test('P', new_state, letter_state)
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# BPPAB - goal
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# PPAPB - 1st guess
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# PPBBA - 2nd guess
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new_state, _, _, _ = wordleEnv.step(6)
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# Expect A to be all maybe except 2, 1 and 4 that are no
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letter_state = (0, 1, 0,
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1, 0, 0,
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1, 0, 0,
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0, 1, 0,
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1, 0, 0)
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letter_test('A', new_state, letter_state)
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# Expect B to be maybe at 0, yes at 4, and 1 2 and 3 are no
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letter_state = (0, 1, 0,
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1, 0, 0,
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1, 0, 0,
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1, 0, 0,
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0, 0, 1)
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letter_test('B', new_state, letter_state)
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# Expect P to be yes at 1, maybe at 2, and no in 0, 3 and 4
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letter_state = (1, 0, 0,
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0, 0, 1,
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0, 1, 0,
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1, 0, 0,
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1, 0, 0)
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letter_test('P', new_state, letter_state)
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wordleEnv.reset()
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wordleEnv.set_goal_encoded(7)
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# BPABB - goal
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# PPPAC - 1st guess
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new_state, _, _, _ = wordleEnv.step(8)
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# Expect A to be all maybe except 1 and 3 that is no
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letter_state = (0, 1, 0,
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1, 0, 0,
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0, 1, 0,
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1, 0, 0,
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0, 1, 0)
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letter_test('A', new_state, letter_state)
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# Expect P to be yes at 1, maybe at 3 and 4 and no otherwise
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letter_state = (1, 0, 0,
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0, 0, 1,
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1, 0, 0,
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0, 0, 0,
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0, 0, 0)
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letter_test('P', new_state, letter_state)
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wordle_env/wordle.py
CHANGED
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@@ -89,7 +89,7 @@ class WordleEnvBase(gym.Env):
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return self.state.copy(), reward, self.done, {"goal_id": self.goal_word}
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def reset(self
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self.state = state.new(self.max_turns)
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self.done = False
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random_word = random.choice(self.words[:self.allowable_words])
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return self.state.copy(), reward, self.done, {"goal_id": self.goal_word}
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def reset(self):
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self.state = state.new(self.max_turns)
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self.done = False
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random_word = random.choice(self.words[:self.allowable_words])
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