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How to use parse_bounds method in ATX

Best Python code snippet using ATX

steerbench_parser.py

Source:steerbench_parser.py

...106        self.simulation_state.move_agents_from_obstacles()107    def get_sim_state(self):108        return self.simulation_state109    def parse_header(self, header_elem):110        bounds = self.parse_bounds(header_elem.find('steerbench:worldBounds', self.namespace))111        self.simulation_state.bounds = [bounds[0], bounds[1], bounds[4], bounds[5]]112    def parse_agents(self, root):113        agents = root.findall('steerbench:agent', self.namespace)114        for agent in agents:115            self.parse_agent(agent)116        agent_regions = root.findall('steerbench:agentRegion', self.namespace)117        for region in agent_regions:118            self.parse_agent_region(region)119    def parse_agent(self, element):120        name = element.find('steerbench:name', self.namespace).text121        initial_config = element.find('steerbench:initialConditions', self.namespace)122        pos = self.parse_vector(initial_config.find('steerbench:position', self.namespace),123                                self.simulation_state.bounds)124        direction = self.parse_vector(initial_config.find('steerbench:direction', self.namespace), [-1, 1, -1, 1])125        goal_config = element.find('steerbench:goalSequence', self.namespace)126        goals = []127        for target in goal_config.findall('steerbench:seekStaticTarget', self.namespace):128            goal_pos = self.parse_vector(target.find('steerbench:targetLocation', self.namespace),129                                         self.simulation_state.bounds)130            type = float(target.find('steerbench:targetLocation', self.namespace).131                         find('steerbench:y', self.namespace).text)132            width = float(target.find('steerbench:desiredSpeed', self.namespace).text)133            height = float(target.find('steerbench:timeDuration', self.namespace).text)134            box = [width, height]135            goals.append(Goal(pos=goal_pos, type=type, box=box))136        orientation = math.atan2(direction[1, 0], direction[0, 0])137        if "_" in name:138            index = int(name.split("_")[1])139            color = rainbow[index]140        else:141            color = rainbow[self.rainbow_index]142            self.rainbow_index += 1143        self.simulation_state.agents.append(144            Agent(pos=pos, radius=0.5, orientation=orientation, goals=goals,145                  id=len(self.simulation_state.agents), color=color)146        )147    def parse_agent_region(self, element):148        num = int(element.find('steerbench:numAgents', self.namespace).text)149        bounds = self.parse_bounds(element.find('steerbench:regionBounds', self.namespace))150        initial_config = element.find('steerbench:initialConditions', self.namespace)151        color = rainbow[self.rainbow_index % 7]152        self.rainbow_index += 1153        for i in range(num):154            pos = np.array([[random.uniform(bounds[0], bounds[1])], [random.uniform(bounds[4], bounds[5])]])155            direction = self.parse_vector(initial_config.find('steerbench:direction', self.namespace), [-1, 1, -1, 1])156            goal_config = element.find('steerbench:goalSequence', self.namespace)157            goals = []158            for target in goal_config.findall('steerbench:seekStaticTarget', self.namespace):159                goal_pos = self.parse_vector(target.find('steerbench:targetLocation', self.namespace),160                                             [bounds[0], bounds[1], bounds[4], bounds[5]])161                type = float(target.find('steerbench:targetLocation', self.namespace).162                             find('steerbench:y', self.namespace).text)163                width = float(target.find('steerbench:desiredSpeed', self.namespace).text)164                height = float(target.find('steerbench:timeDuration', self.namespace).text)165                box = [width, height]166                goals.append(Goal(pos=goal_pos, type=type, box=box))167            orientation = math.atan2(direction[1, 0], direction[0, 0])168            self.simulation_state.agents.append(169                Agent(pos=pos, radius=0.5, orientation=orientation, goals=goals,170                      id=len(self.simulation_state.agents), color=color)171            )172    def parse_vector(self, element, bounds):173        if element.find('steerbench:random', self.namespace) is not None:174            return np.array([175                [random.uniform(bounds[0], bounds[1])],176                [random.uniform(bounds[2], bounds[3])]177            ])178        else:179            return np.array([180                [float(element.find('steerbench:x', self.namespace).text)],181                [float(element.find('steerbench:z', self.namespace).text)]182            ])183    def parse_obstacles(self, root):184        obstacles = root.findall('steerbench:obstacle', self.namespace)185        for obstacle in obstacles:186            self.parse_obstacle(obstacle)187        obstacle_regions = root.findall('steerbench:obstacleRegion', self.namespace)188        for region in obstacle_regions:189            self.parse_obstacle_region(region)190    def parse_obstacle(self, element):191        bounds = self.parse_bounds(element)192        type = int(element.find('steerbench:ymin', self.namespace).text)193        self.simulation_state.obstacles.append(194            Obstacle(bounds[1] - bounds[0], bounds[5] - bounds[4], bounds[0], bounds[4],195                     type, len(self.simulation_state.obstacles)))196    def parse_obstacle_region(self, region_elem):197        bounds = self.parse_bounds(region_elem.find('steerbench:regionBounds', self.namespace))198        num = int(region_elem.find('steerbench:numObstacles', self.namespace).text)199        size = float(region_elem.find('steerbench:obstacleSize', self.namespace).text)200        for i in range(num):201            self.simulation_state.obstacles.append(202                Obstacle(size, size, random.uniform(bounds[0], bounds[1]), random.uniform(bounds[4], bounds[5]),203                         0, len(self.simulation_state.obstacles)))204    def parse_bounds(self, bounds_elem):205        bounds = [min(float(bounds_elem.find('steerbench:xmin', self.namespace).text),206                      float(bounds_elem.find('steerbench:xmax', self.namespace).text)),207                  max(float(bounds_elem.find('steerbench:xmin', self.namespace).text),208                      float(bounds_elem.find('steerbench:xmax', self.namespace).text)),209                  min(float(bounds_elem.find('steerbench:ymin', self.namespace).text),210                      float(bounds_elem.find('steerbench:ymax', self.namespace).text)),211                  max(float(bounds_elem.find('steerbench:ymin', self.namespace).text),212                      float(bounds_elem.find('steerbench:ymax', self.namespace).text)),213                  min(float(bounds_elem.find('steerbench:zmin', self.namespace).text),214                      float(bounds_elem.find('steerbench:zmax', self.namespace).text)),215                  max(float(bounds_elem.find('steerbench:zmin', self.namespace).text),216                      float(bounds_elem.find('steerbench:zmax', self.namespace).text)),217                  ]218        return bounds

FEParser.py

Source:FEParser.py

...19            self.parse_expr()20            self.expect(')')21            if self.test_lookahead('|'):22                self.expect('|')23                self.parse_bounds()24        elif self.test_lookahead('<'):25            self.expect('<')26            self.parse_expr()27            self.expect(',')28            self.parse_expr()29            self.expect('>')30            if self.test_lookahead('_'):31                self.parse_bounds()32        elif self.test_lookahead(NAME):33            self.expect(NAME)34        else:35            self.expect(NUMBER)36        return self.pop()37    def parse_bounds (self):38        self.push('bounds')39        self.expect('_')40        self.expect(NAME)41        return self.pop()42    def parse_constraint (self):43        self.push('constraint')44        self.parse_expr()45        while self.test_lookahead('='):...

script.py

Source:script.py

1def parse_bounds(low, high, item, max_value):2    serie = range(max_value + 1)3    for char in item:4        middle = len(serie) // 25        if char == low:6            serie = serie[:middle]7        elif char == high:8            serie = serie[middle:]9        else:10            raise Exception("Invalid char")11        if len(serie) == 1:12            return serie[0]13    raise Exception("Should not end here")14def get_seat_id(row, column):15    return row * 8 + column16lines = []17with open('input', 'r') as input_file:18    for line in input_file:19        lines.append(line.strip())20max_seat_id = -121rows = {22    i: [] for i in range(127 + 1)23}24all_seats_ids = []25for item in lines:26    row = parse_bounds("F", "B", item[:7], 127)27    column = parse_bounds("L", "R", item[-3:], 7)28    seat_id = get_seat_id(row, column)29    all_seats_ids.append(seat_id)30    max_seat_id = max(seat_id, max_seat_id)31    rows[row].append(column)32print(f"Max seat id: {max_seat_id}")33missing_seat_ids = []34for key, row in rows.items():35    all_rows = [i for i in range(7 + 1)]36    missing = set(all_rows) - set(row)37    if len(missing) > 0:38        for num in missing:39            missing_seat_ids.append(get_seat_id(key, num))40for seat_id in missing_seat_ids:41    if seat_id - 1 in all_seats_ids and seat_id + 1 in all_seats_ids:...

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