def _gen_grid()

in gym-minigrid/gym_minigrid/envs/multiroom_noisytv.py [0:0]
54 lines of code
10 McCabe index (conditional complexity)

    def _gen_grid(self, width, height):
        roomList = []

        # Choose a random number of rooms to generate
        numRooms = self._rand_int(self.minNumRooms, self.maxNumRooms+1)

        while len(roomList) < numRooms:
            curRoomList = []

            entryDoorPos = (
                self._rand_int(0, width - 2),
                self._rand_int(0, width - 2)
            )

            # Recursively place the rooms
            self._placeRoom(
                numRooms,
                roomList=curRoomList,
                minSz=4,
                maxSz=self.maxRoomSize,
                entryDoorWall=2,
                entryDoorPos=entryDoorPos
            )

            if len(curRoomList) > len(roomList):
                roomList = curRoomList

        # Store the list of rooms in this environment
        assert len(roomList) > 0
        self.rooms = roomList

        # Create the grid
        self.grid = Grid(width, height)
        wall = Wall()

        prevDoorColor = None

        # For each room
        for idx, room in enumerate(roomList):

            topX, topY = room.top
            sizeX, sizeY = room.size

            # Draw the top and bottom walls
            for i in range(0, sizeX):
                self.grid.set(topX + i, topY, wall)
                self.grid.set(topX + i, topY + sizeY - 1, wall)

            # Draw the left and right walls
            for j in range(0, sizeY):
                self.grid.set(topX, topY + j, wall)
                self.grid.set(topX + sizeX - 1, topY + j, wall)

            # Create the noisy-tv: a ball of arbitrary color that \
            # the agent can change with some action
            if idx == 0:
                self.noisy_tv = Ball(self._rand_elem(COLOR_NAMES))
                self.place_obj(
                    self.noisy_tv, 
                    top=room.top, 
                    size=room.size, 
                    max_tries=100,
                )

            # If this isn't the first room, place the entry door
            if idx > 0:
                # Pick a door color different from the previous one
                doorColors = set(COLOR_NAMES)
                if prevDoorColor:
                    doorColors.remove(prevDoorColor)
                # Note: the use of sorting here guarantees determinism,
                # This is needed because Python's set is not deterministic
                doorColor = self._rand_elem(sorted(doorColors))

                entryDoor = Door(doorColor)
                self.grid.set(*room.entryDoorPos, entryDoor)
                prevDoorColor = doorColor

                prevRoom = roomList[idx-1]
                prevRoom.exitDoorPos = room.entryDoorPos

        # Randomize the starting agent position and direction
        self.place_agent(roomList[0].top, roomList[0].size)

        # Place the final goal in the last room
        self.goal_pos = self.place_obj(Goal(), roomList[-1].top, roomList[-1].size)

        self.mission = 'traverse the rooms to get to the goal'