How to use get_state method in avocado

Best Python code snippet using avocado_python

v4.py

Source:v4.py

...40	agent4 = DQN_agent(env.agent_state_count*env.agents, env.num_actions, env.ROWS, env.COLUMNS) #init of agent41	42	rec_moves_to = [43	{44	env.get_state([3,3]):1,45	env.get_state([3,4]):1,46	env.get_state([4,4]):4,47	env.get_state([5,4]):4,48	env.get_state([5,5]):1,49	env.get_state([5,6]):1,50	env.get_state([5,7]):1,51	env.get_state([4,7]):3,52	env.get_state([4,8]):153	},54	{55	env.get_state([5,3]):1,56	env.get_state([4,3]):3,57	env.get_state([3,3]):3,58	env.get_state([2,3]):3,59	env.get_state([2,4]):1,60	env.get_state([2,5]):1,61	env.get_state([2,6]):1,62	env.get_state([2,7]):1,63	env.get_state([2,8]):164	},65	{66	env.get_state([7,3]):1,67	env.get_state([7,4]):1,68	env.get_state([6,4]):3,69	env.get_state([6,5]):1,70	env.get_state([6,6]):1,71	env.get_state([6,7]):172	},73	{74	env.get_state([9,3]):1,75	env.get_state([9,4]):1,76	env.get_state([9,5]):1,77	env.get_state([9,6]):1,78	env.get_state([9,7]):1,79	env.get_state([8,7]):3,80	env.get_state([7,7]):3,81	env.get_state([7,8]):1,82	}83	]84	rec_moves_from = [85	{86	env.get_state([4,8]):2,87	env.get_state([4,7]):2,88	env.get_state([5,7]):4,89	env.get_state([5,6]):2,90	env.get_state([5,5]):2,91	env.get_state([5,4]):2,92	env.get_state([4,4]):3,93	env.get_state([3,4]):3,94	env.get_state([3,3]):295	},96	{97	env.get_state([2,8]):2,98	env.get_state([2,7]):2,99	env.get_state([2,6]):2,100	env.get_state([2,5]):2,101	env.get_state([2,4]):2,102	env.get_state([2,3]):2,103	env.get_state([3,3]):4,104	env.get_state([4,3]):4,105	env.get_state([5,3]):4106	},107	{108	env.get_state([6,7]):2,109	env.get_state([6,6]):2,110	env.get_state([6,5]):2,111	env.get_state([6,4]):2,112	env.get_state([7,4]):4,113	env.get_state([7,3]):2114	},115	{116	env.get_state([7,8]):2,117	env.get_state([7,7]):2,118	env.get_state([8,7]):4,119	env.get_state([9,7]):4,120	env.get_state([9,6]):2,121	env.get_state([9,5]):2,122	env.get_state([9,4]):2,123	env.get_state([9,3]):2	124	}125	]126	print(rec_moves_to)127	128	agentos = [agent,agent2,agent3,agent4]129	rewards_all_episodes = [0,0,0,0]    # only for human metrics130	rewards_current_episode = [0,0,0,0]  # only for human metrics131	num_of_success = 0132	num_packages = 0133	moving_average_20a = deque(maxlen=400) # only for human metrics134	moving_average_20b = deque(maxlen=400) # only for human metrics135	moving_average_20c = deque(maxlen=400) # only for human metrics136	moving_average_20d = deque(maxlen=400) # only for human metrics137	successes_last_100 = deque(maxlen=100)138	rock = False139	packages_total = []140	file_count = 0141	for episode in range(NUM_EPISODES):142		143		if len(packages_total) % 700 == 0:144			with open('LOGGED_v4,'+str(file_count)+'.csv', mode='w') as the_file:145				writer = csv.writer(the_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)146				for the_file_elements in range(len(packages_total)):147					writer.writerow([the_file_elements,packages_total[the_file_elements]])148			file_count += 1149		150		done = False151		rewards_current_episode = [0,0,0,0]152		if num_packages > 80:153			for ag in agentos:154				ag.epsilon_min = 0.01155		num_packages = 0156		#environment setup	157		state = env.reset(randomised_position=False) # resets environment for new simulation158		if sum(successes_last_100) > 60:159			agent.epsilon_min = 0160		#iteration process161		for step in range (1,MAX_EPISODE_STEPS):162			#let agent make action suggestions163			action_list = []164			for i in range(env.agents):165				action_list.append(agentos[i].act(state[i]))166			if (episode > 40000): # to see what is going on (simulation)167				if not rock: 168					input("rock and roll!")169					rock = True170				os.system('clear')171				print("\033[1;41m" + "simulation run: {}".format(episode) + "\033[1;m")172				#print(f"state_space_size already visited: {agent.visited_memory}")173				print("state:{}".format(state))174				print("delivered packages: {}".format(num_packages))175				#print("most recent reward: {}".format(rewards_all_episodes[-1]))176				env.show()177				time.sleep(0.3)178			event_list = env.sim_step(action_list)179			180			181			for i in range(env.agents):182				rewards_current_episode[i] += event_list[i][1]183				if env.current_state[i][2] == 0 and env.get_state(env.current_state[i]) in rec_moves_to[i]:184					if rec_moves_to[i][env.get_state(env.current_state[i])] == action_list[i]:185						rewards_current_episode[i] += CORRECT_MOVE_REWARD186				elif env.current_state[i][2] == 1 and env.get_state(env.current_state[i]) in rec_moves_from[i]:187					if rec_moves_from[i][env.get_state(env.current_state[i])] == action_list[i]:188						rewards_current_episode[i] += CORRECT_MOVE_REWARD189				done = True if event_list[i][2] else done190			if done == True:191				moving_average_20a.append(rewards_current_episode[0])192				moving_average_20b.append(rewards_current_episode[1])193				moving_average_20c.append(rewards_current_episode[2])194				moving_average_20d.append(rewards_current_episode[3])195				196				for i in range(env.agents):197					if event_list[i][1] == 5:198						num_packages += 1199				200			201				successes_last_100.append(0)...

board.py

Source:board.py

...28        table = []29        i = 030        while i < 3:31            row = []32            row.append(self.table[i][0].get_state())33            row.append(self.table[i][1].get_state())34            row.append(self.table[i][2].get_state())35            table.append(row)36            i = i + 137        return table38    def change_turn(self):39        if self.turn == 'X':40            self.turn = 'O'41        else:42            self.turn = 'X'43    def make_turn(self,t):44        self.turn = t45    def find_winner(self):46        row = 047        col = 048        winner = 'null'49        while row < 3:50            if self.equals3(self.table[row][0].get_state(), self.table[row][1].get_state(), self.table[row][2].get_state()):51                winner = self.table[row][0].get_state()52            row = row + 153        while col < 3:54            if self.equals3(self.table[0][col].get_state(), self.table[1][col].get_state(), self.table[2][col].get_state()):55                winner = self.table[0][col].get_state()56            col = col + 157        if self.equals3(self.table[0][0].get_state(), self.table[1][1].get_state(), self.table[2][2].get_state()):58            winner = self.table[0][0].get_state()59        if self.equals3(self.table[2][0].get_state(), self.table[1][1].get_state(), self.table[0][2].get_state()):60            winner = self.table[2][0].get_state()61        62        filled = self.is_filled()63        if filled == True and winner == 'null':64            winner = 'Tie'65              66        return winner67    68    def is_empty(self, row, col):69        if self.table[row][col].get_state() == ' ':70            return True71        return False72    73    def is_filled(self):74        for i in range(3):75            for j in range(3):76                if self.table[i][j].get_state() == ' ':77                    return False78        return True79    80    def update_cell(self, row, col):81        if self.is_empty(row,col):82            turn = self.get_turn()83            if turn == 'X':84                self.table[row][col].make_X()85                self.change_turn()86            else:87                self.table[row][col].make_O()88                self.change_turn()89    def AIMove(self):90        best_x = 091        best_y = 092        bestScore = -100093        if self.is_filled() == False:94            for i in range(3):95                for j in range(3):96                    if self.table[i][j].get_state() == ' ':97                        self.table[i][j].make_O()98                        self.set_turn('X')99                        score = self.minimax(True)100                        self.table[i][j].initialize()101                        if score > bestScore:102                            bestScore = score103                            best_x = i104                            best_y = j105            self.table[best_x][best_y].make_O()106            self.set_turn('X')107    108    def minimax(self,isHuman):109        result = self.find_winner()110        if result == 'X':111            return -1112        if result == 'O':113            return 1114        if result == 'Tie':115            return 0116        if isHuman:117            bestScore = 1000118            for i in range(3):119                for j in range(3):120                    if self.table[i][j].get_state() == ' ':121                        self.table[i][j].make_X()122                        self.set_turn('O')123                        score = self.minimax(False)124                        self.table[i][j].initialize()125                        bestScore = min(score, bestScore)126            return bestScore127        else:128            bestScore = -1000129            for i in range(3):130                for j in range(3):131                    if self.table[i][j].get_state() == ' ':132                        self.table[i][j].make_O()133                        self.set_turn('X')134                        score = self.minimax(True)135                        self.table[i][j].initialize()136                        bestScore = max(score, bestScore)...

test_server_condenser_api.py

Source:test_server_condenser_api.py

...3from worth.server.condenser_api.get_state import get_state4from worth.server.condenser_api.tags import get_trending_tags5from worth.server.condenser_api.call import call6@pytest.mark.asyncio7async def test_get_state():8    ret = await get_state('/trending')9    assert 'discussion_idx' in ret10    assert await get_state('trending')11    assert await get_state('promoted')12    assert await get_state('created')13    assert await get_state('hot')14    assert await get_state('@xeroc')15    assert await get_state('@xeroc/feed')16    assert await get_state('@xeroc/comments')17    assert await get_state('@xeroc/recent-replies')18    assert await get_state('worth/@xeroc/python-worth-v0-1-1')19    assert await get_state('worth/@xeroc/re-dercoco-re-xeroc-python-worth-v0-1-1-20160802t073430189z')20    assert await get_state('trending/blockchain')21    assert await get_state('tags')22    with pytest.raises(AssertionError):23        await get_state('trending/blockchain/xxx')24    with pytest.raises(AssertionError):25        await get_state('tags/xxx')26    with pytest.raises(Exception):27        await get_state('witnesses')28@pytest.mark.asyncio29async def test_call():30    assert await call('condenser_api',31                      'get_followers',32                      ['xeroc', '', 'blog', 10])33    assert await call('condenser_api',34                      'get_discussions_by_blog',35                      [{"tag": "xeroc",36                        "start_author": "",37                        "start_permlink": "",38                        "limit": 10}])39@pytest.mark.asyncio40async def test_get_trending_tags():41    full = await get_trending_tags()...

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