diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml index fe1a8bb7..26a20757 100644 --- a/.github/workflows/tests.yaml +++ b/.github/workflows/tests.yaml @@ -91,13 +91,13 @@ jobs: # Miniconda is available in $CONDA env var $CONDA/bin/conda create -n testenv --yes pip wheel gxx_linux-64 gcc_linux-64 python=${{ matrix.python-version }} $CONDA/envs/testenv/bin/python3 -m pip install --upgrade pip - $CONDA/envs/testenv/bin/pip3 install -e .[dev,dm_control] + $CONDA/envs/testenv/bin/pip3 install -e ".[dev,box2d,brax,dm_control,mario]" - name: Source install if: matrix.kind == 'source' run: | python -m pip install --upgrade pip - pip install -e .[dev,dm_control] + pip install -e ".[dev,box2d,brax,dm_control,mario]" - name: Dist install if: matrix.kind == 'dist' @@ -105,7 +105,7 @@ jobs: python -m pip install --upgrade pip python setup.py sdist last_dist=$(ls -t dist/carl-*.tar.gz | head -n 1) - pip install $last_dist[dev,dm_control] + pip install $last_dist[dev,box2d,brax,dm_control,mario] - name: Tests timeout-minutes: 60 diff --git a/.gitignore b/.gitignore index 45776fd5..805a18b6 100644 --- a/.gitignore +++ b/.gitignore @@ -23,9 +23,7 @@ outputs testvenv *.egg-info runs -*.png *.pdf -*.csv *.pickle *.ipynb_checkpoints *optgap* diff --git a/README.md b/README.md index 6aecd0fb..2a5ed021 100644 --- a/README.md +++ b/README.md @@ -54,18 +54,8 @@ RNA and Mario at this point, however, will not run on any operation system besid To install ToadGAN for the Mario environment: ```bash -git submodule update --init --recursive - -# if this does not work, clone manually -git clone https://github.com/frederikschubert/Mario-AI-Framework carl/envs/mario/Mario-AI-Framework -git clone https://github.com/Mawiszus/TOAD-GUI carl/envs/mario/TOAD-GUI - # System requirements sudo apt install libfreetype6-dev xvfb - -# Compile java source files -cd carl/envs/mario/Mario-AI-Framework/src -javac *.java ``` If you want to use RNA, please take a look at the associated [ReadME](carl/envs/rna/readme.md). diff --git a/carl/__init__.py b/carl/__init__.py index 23a39d48..f1391313 100644 --- a/carl/__init__.py +++ b/carl/__init__.py @@ -6,7 +6,7 @@ import datetime name = "CARL" -package_name = "carl" +package_name = "carl-bench" author = __author__ author_email = "benjamins@tnt.uni-hannover.de" diff --git a/carl/context/context_space.py b/carl/context/context_space.py index 3deb272b..4409a370 100644 --- a/carl/context/context_space.py +++ b/carl/context/context_space.py @@ -2,6 +2,8 @@ from typing import List +import warnings + import gymnasium.spaces as spaces import numpy as np from ConfigSpace.hyperparameters import ( @@ -16,6 +18,8 @@ from carl.utils.types import Context, Contexts +warnings.filterwarnings("ignore", message="invalid value encountered in scalar divide") + ContextFeature: TypeAlias = Hyperparameter NumericalContextFeature: TypeAlias = NumericalHyperparameter NormalFloatContextFeature: TypeAlias = NormalFloatHyperparameter diff --git a/carl/envs/__init__.py b/carl/envs/__init__.py index e684c209..7d34ffc1 100644 --- a/carl/envs/__init__.py +++ b/carl/envs/__init__.py @@ -48,6 +48,6 @@ def check_spec(spec_name: str) -> bool: if found: from carl.envs.dmc import * -found = check_spec("distance") -if found: - from carl.envs.rna import * +# found = check_spec("distance") +# if found: +# from carl.envs.rna import * diff --git a/carl/envs/brax/carl_brax_env.py b/carl/envs/brax/carl_brax_env.py index 264af1a6..cba21ec8 100644 --- a/carl/envs/brax/carl_brax_env.py +++ b/carl/envs/brax/carl_brax_env.py @@ -274,4 +274,4 @@ def _update_context(self) -> None: updated_geoms.append(geom_new) sys = sys.replace(geoms=updated_geoms) - self.env.sys = sys + self.env.unwrapped.sys = sys diff --git a/carl/envs/gymnasium/box2d/carl_bipedal_walker.py b/carl/envs/gymnasium/box2d/carl_bipedal_walker.py index 197b1bff..2ea9f4dc 100644 --- a/carl/envs/gymnasium/box2d/carl_bipedal_walker.py +++ b/carl/envs/gymnasium/box2d/carl_bipedal_walker.py @@ -1,6 +1,5 @@ from __future__ import annotations -import numpy as np from Box2D.b2 import edgeShape, fixtureDef, polygonShape from gymnasium.envs.box2d import bipedal_walker from gymnasium.envs.box2d import bipedal_walker as bpw @@ -87,6 +86,9 @@ def get_context_features() -> dict[str, ContextFeature]: def _update_context(self) -> None: self.env: bipedal_walker.BipedalWalker + self.context = CARLBipedalWalker.get_context_space().insert_defaults( + self.context + ) bpw.FPS = self.context["FPS"] bpw.SCALE = self.context["SCALE"] bpw.FRICTION = self.context["FRICTION"] @@ -112,14 +114,14 @@ def _update_context(self) -> None: gravity_y = self.context["GRAVITY_Y"] gravity = (gravity_x, gravity_y) - self.env.world.gravity = gravity + self.env.unwrapped.world.gravity = gravity # Important for building terrain - self.env.fd_polygon = fixtureDef( + self.env.unwrapped.fd_polygon = fixtureDef( shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]), friction=bipedal_walker.FRICTION, ) - self.env.fd_edge = fixtureDef( + self.env.unwrapped.fd_edge = fixtureDef( shape=edgeShape(vertices=[(0, 0), (1, 1)]), friction=bipedal_walker.FRICTION, categoryBits=0x0001, @@ -152,95 +154,4 @@ def _update_context(self) -> None: maskBits=0x001, ) - self.env.world.gravity = gravity - - -def demo_heuristic(env: CARLBipedalWalker | bipedal_walker.BipedalWalker) -> None: - env.reset() - steps = 0 - total_reward = 0 - a = np.array([0.0, 0.0, 0.0, 0.0]) - STAY_ON_ONE_LEG, PUT_OTHER_DOWN, PUSH_OFF = 1, 2, 3 - SPEED = 0.29 # Will fall forward on higher speed - state = STAY_ON_ONE_LEG - moving_leg = 0 - supporting_leg = 1 - moving_leg - SUPPORT_KNEE_ANGLE = +0.1 - supporting_knee_angle = SUPPORT_KNEE_ANGLE - while True: - s, r, terminated, truncated, info = env.step(a) - s = s["state"] - total_reward += r - if steps % 20 == 0 or terminated or truncated: - print("\naction " + str(["{:+0.2f}".format(x) for x in a])) - print("step {} total_reward {:+0.2f}".format(steps, total_reward)) - print("hull " + str(["{:+0.2f}".format(x) for x in s[0:4]])) - print("leg0 " + str(["{:+0.2f}".format(x) for x in s[4:9]])) - print("leg1 " + str(["{:+0.2f}".format(x) for x in s[9:14]])) - steps += 1 - - contact0 = s[8] # noqa: F841 - contact1 = s[13] # noqa: F841 - moving_s_base = 4 + 5 * moving_leg - supporting_s_base = 4 + 5 * supporting_leg - - hip_targ = np.array([None, None]) # -0.8 .. +1.1 - knee_targ = np.array([None, None]) # -0.6 .. +0.9 - hip_todo = np.array([0.0, 0.0]) - knee_todo = np.array([0.0, 0.0]) - - if state == STAY_ON_ONE_LEG: - hip_targ[moving_leg] = 1.1 - knee_targ[moving_leg] = -0.6 - supporting_knee_angle += 0.03 - if s[2] > SPEED: - supporting_knee_angle += 0.03 - supporting_knee_angle = min(supporting_knee_angle, SUPPORT_KNEE_ANGLE) - knee_targ[supporting_leg] = supporting_knee_angle - if s[supporting_s_base + 0] < 0.10: # supporting leg is behind - state = PUT_OTHER_DOWN - if state == PUT_OTHER_DOWN: - hip_targ[moving_leg] = +0.1 - knee_targ[moving_leg] = SUPPORT_KNEE_ANGLE - knee_targ[supporting_leg] = supporting_knee_angle - if s[moving_s_base + 4]: - state = PUSH_OFF - supporting_knee_angle = min(s[moving_s_base + 2], SUPPORT_KNEE_ANGLE) - if state == PUSH_OFF: - knee_targ[moving_leg] = supporting_knee_angle - knee_targ[supporting_leg] = +1.0 - if s[supporting_s_base + 2] > 0.88 or s[2] > 1.2 * SPEED: - state = STAY_ON_ONE_LEG - moving_leg = 1 - moving_leg - supporting_leg = 1 - moving_leg - - if hip_targ[0]: - hip_todo[0] = 0.9 * (hip_targ[0] - s[4]) - 0.25 * s[5] - if hip_targ[1]: - hip_todo[1] = 0.9 * (hip_targ[1] - s[9]) - 0.25 * s[10] - if knee_targ[0]: - knee_todo[0] = 4.0 * (knee_targ[0] - s[6]) - 0.25 * s[7] - if knee_targ[1]: - knee_todo[1] = 4.0 * (knee_targ[1] - s[11]) - 0.25 * s[12] - - hip_todo[0] -= 0.9 * (0 - s[0]) - 1.5 * s[1] # PID to keep head strait - hip_todo[1] -= 0.9 * (0 - s[0]) - 1.5 * s[1] - knee_todo[0] -= 15.0 * s[3] # vertical speed, to damp oscillations - knee_todo[1] -= 15.0 * s[3] - - a[0] = hip_todo[0] - a[1] = knee_todo[0] - a[2] = hip_todo[1] - a[3] = knee_todo[1] - a = np.clip(0.5 * a, -1.0, 1.0) - - env.render() - if terminated or truncated: - break - - -if __name__ == "__main__": - # Heurisic: suboptimal, have no notion of balance. - env = CARLBipedalWalker() - demo_heuristic(env) - env.close() + self.env.unwrapped.world.gravity = gravity diff --git a/carl/envs/gymnasium/box2d/carl_lunarlander.py b/carl/envs/gymnasium/box2d/carl_lunarlander.py index 1800f7f9..9f3c59f5 100644 --- a/carl/envs/gymnasium/box2d/carl_lunarlander.py +++ b/carl/envs/gymnasium/box2d/carl_lunarlander.py @@ -1,5 +1,6 @@ from __future__ import annotations +from Box2D.b2 import vec2 from gymnasium.envs.box2d import lunar_lander from gymnasium.envs.box2d.lunar_lander import LunarLander @@ -77,8 +78,12 @@ def _update_context(self) -> None: if hasattr(lunar_lander, key): setattr(lunar_lander, key, value) - gravity_x = self.context["GRAVITY_X"] - gravity_y = self.context["GRAVITY_Y"] + gravity_x = self.context.get( + "GRAVITY_X", self.get_context_features()["GRAVITY_X"].default_value + ) + gravity_y = self.context.get( + "GRAVITY_Y", self.get_context_features()["GRAVITY_Y"].default_value + ) - gravity = (gravity_x, gravity_y) - self.env.world.gravity = gravity + gravity = vec2(float(gravity_x), float(gravity_y)) + self.env.unwrapped.world.gravity = gravity diff --git a/carl/envs/gymnasium/box2d/carl_vehicle_racing.py b/carl/envs/gymnasium/box2d/carl_vehicle_racing.py index 8558531f..dcf61d75 100644 --- a/carl/envs/gymnasium/box2d/carl_vehicle_racing.py +++ b/carl/envs/gymnasium/box2d/carl_vehicle_racing.py @@ -1,10 +1,11 @@ from __future__ import annotations -from typing import Any, List, Optional, Tuple, Type, Union +from typing import Optional, Type, Union import numpy as np +import pygame from gymnasium.envs.box2d.car_dynamics import Car -from gymnasium.envs.box2d.car_racing import CarRacing +from gymnasium.envs.box2d.car_racing import CarRacing, FrictionDetector from gymnasium.envs.registration import register from carl.context.context_space import ContextFeature, UniformIntegerContextFeature @@ -108,113 +109,94 @@ def reset( return_info: bool = True, options: Optional[dict] = None, ) -> Union[ObsType, tuple[ObsType, dict]]: + super().reset(seed=seed) self._destroy() + self.world.contactListener_bug_workaround = FrictionDetector( + self, self.lap_complete_percent + ) + self.world.contactListener = self.world.contactListener_bug_workaround self.reward = 0.0 self.prev_reward = 0.0 self.tile_visited_count = 0 self.t = 0.0 - self.road_poly: List[Tuple[List[float], Tuple[Any]]] = [] + self.new_lap = False + self.road_poly = [] + + if self.domain_randomize: + randomize = True + if isinstance(options, dict): + if "randomize" in options: + randomize = options["randomize"] + + self._reinit_colors(randomize) while True: success = self._create_track() if success: break - if self.verbose == 1: + if self.verbose: print( "retry to generate track (normal if there are not many" "instances of this message)" ) - self.car = self.vehicle_class(self.world, *self.track[0][1:4]) # type: ignore [assignment] - - for i in range( - 49 - ): # this sets up the environment and resolves any initial violations of geometry - self.step(None) # type: ignore [arg-type] + self.car = self.vehicle_class(self.world, *self.track[0][1:4]) + if self.render_mode == "human": + self.render() return self.step(None)[0], {} - def _render_indicators_BROKEN(self, W: int, H: int) -> None: - # TODO Fix CarRacing rendering - # copied from meta car racing + def _render_indicators(self, W, H): s = W / 40.0 h = H / 40.0 - colors = [0, 0, 0, 1] * 4 - polygons = [W, 0, 0, W, 5 * h, 0, 0, 5 * h, 0, 0, 0, 0] - - def vertical_ind(place: int, val: int, color: Tuple) -> None: - points = [ - place * s, - h + h * val, - 0, - (place + 1) * s, - h + h * val, - 0, - (place + 1) * s, - h, - 0, - (place + 0) * s, - h, - 0, + color = (0, 0, 0) + polygon = [(W, H), (W, H - 5 * h), (0, H - 5 * h), (0, H)] + pygame.draw.polygon(self.surf, color=color, points=polygon) + + def vertical_ind(place, val): + return [ + (place * s, H - (h + h * val)), + ((place + 1) * s, H - (h + h * val)), + ((place + 1) * s, H - h), + ((place + 0) * s, H - h), ] - C = [color[0], color[1], color[2], 1] # * 4 - colors.extend(C) - polygons.extend(points) - self._draw_colored_polygon( - self.surf, points, C, zoom=1, translation=[0, 0], angle=0, clip=True - ) - - def horiz_ind(place: int, val: int, color: Tuple) -> None: - points = [ - (place + 0) * s, - 4 * h, - 0, - (place + val) * s, - 4 * h, - 0, - (place + val) * s, - 2 * h, - 0, - (place + 0) * s, - 2 * h, - 0, + + def horiz_ind(place, val): + return [ + ((place + 0) * s, H - 4 * h), + ((place + val) * s, H - 4 * h), + ((place + val) * s, H - 2 * h), + ((place + 0) * s, H - 2 * h), ] - C = [color[0], color[1], color[2], 1] # * 4 - colors.extend(C) - polygons.extend(points) - self._draw_colored_polygon( - self.surf, points, C, zoom=1, translation=[0, 0], angle=0, clip=True - ) + assert self.car is not None true_speed = np.sqrt( - np.square(self.car.hull.linearVelocity[0]) # type: ignore [attr-defined] - + np.square(self.car.hull.linearVelocity[1]) # type: ignore [attr-defined] + np.square(self.car.hull.linearVelocity[0]) + + np.square(self.car.hull.linearVelocity[1]) ) - vertical_ind(5, 0.02 * true_speed, (1, 1, 1)) + # simple wrapper to render if the indicator value is above a threshold + def render_if_min(value, points, color): + if abs(value) > 1e-4: + pygame.draw.polygon(self.surf, points=points, color=color) + render_if_min(true_speed, vertical_ind(5, 0.02 * true_speed), (255, 255, 255)) # Custom render to handle different amounts of wheels - vertical_ind(7, 0.01 * self.car.wheels[0].omega, (0.0, 0, 1)) # type: ignore [attr-defined] for i in range(len(self.car.wheels)): # type: ignore [attr-defined] - vertical_ind(7 + i, 0.01 * self.car.wheels[i].omega, (0.0 + i * 0.1, 0, 1)) # type: ignore [attr-defined] - horiz_ind(20, -10.0 * self.car.wheels[0].joint.angle, (0, 1, 0)) # type: ignore [attr-defined] - horiz_ind(30, -0.8 * self.car.hull.angularVelocity, (1, 0, 0)) # type: ignore [attr-defined] - # vl = pyglet.graphics.vertex_list( - # len(polygons) // 3, ("v3f", polygons), ("c4f", colors) # gl.GL_QUADS, - # ) - # vl.draw(gl.GL_QUADS) - - # shader_program = pyglet.graphics.get_default_shader() - - # mode = gl.GL_POLYGON_MODE - - # vertex_positions = polygons - # vl = shader_program.vertex_list( - # count=len(polygons) // 3, - # mode=mode, - # position=('f', vertex_positions), - # colors=('f', colors) - # ) - # vl.draw(mode) + render_if_min( + self.car.wheels[i].omega, + vertical_ind(7 + i, 0.01 * self.car.wheels[i].omega), + (0 + i * 10, 0, 255), + ) # type: ignore [attr-defined] + render_if_min( + self.car.wheels[0].joint.angle, + horiz_ind(20, -10.0 * self.car.wheels[0].joint.angle), + (0, 255, 0), + ) + render_if_min( + self.car.hull.angularVelocity, + horiz_ind(30, -0.8 * self.car.hull.angularVelocity), + (255, 0, 0), + ) register( @@ -239,5 +221,4 @@ def get_context_features() -> dict[str, ContextFeature]: def _update_context(self) -> None: self.env: CustomCarRacing vehicle_class_index = self.context["VEHICLE_ID"] - self.env.vehicle_class = PARKING_GARAGE[vehicle_class_index] - print(self.env.vehicle_class) + self.env.unwrapped.vehicle_class = PARKING_GARAGE[vehicle_class_index] diff --git a/carl/envs/gymnasium/carl_gymnasium_env.py b/carl/envs/gymnasium/carl_gymnasium_env.py index 60a49449..856e79b7 100644 --- a/carl/envs/gymnasium/carl_gymnasium_env.py +++ b/carl/envs/gymnasium/carl_gymnasium_env.py @@ -73,4 +73,4 @@ def __init__( def _update_context(self) -> None: for k, v in self.context.items(): - setattr(self.env, k, v) + setattr(self.env.unwrapped, k, v) diff --git a/carl/envs/gymnasium/classic_control/carl_acrobot.py b/carl/envs/gymnasium/classic_control/carl_acrobot.py index a1c4f167..d81a7534 100644 --- a/carl/envs/gymnasium/classic_control/carl_acrobot.py +++ b/carl/envs/gymnasium/classic_control/carl_acrobot.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Optional + import numpy as np from carl.context.context_space import ContextFeature, UniformFloatContextFeature @@ -64,3 +66,49 @@ def get_context_features() -> dict[str, ContextFeature]: "INITIAL_VELOCITY_UPPER", lower=-np.inf, upper=np.inf, default_value=0.1 ), } + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ): + super().reset(seed=seed, options=options) + angles = self.env.np_random.uniform( + low=self.context.get( + "INITIAL_ANGLE_LOWER", + self.get_context_features()["INITIAL_ANGLE_LOWER"].default_value, + ), + high=self.context.get( + "INITIAL_ANGLE_UPPER", + self.get_context_features()["INITIAL_ANGLE_UPPER"].default_value, + ), + size=(2,), + ) + velocities = self.env.np_random.uniform( + low=self.context.get( + "INITIAL_VELOCITY_LOWER", + self.get_context_features()["INITIAL_VELOCITY_LOWER"].default_value, + ), + high=self.context.get( + "INITIAL_VELOCITY_UPPER", + self.get_context_features()["INITIAL_VELOCITY_UPPER"].default_value, + ), + size=(2,), + ) + self.env.unwrapped.state = np.concatenate([angles, velocities]) + state = np.array( + [ + np.cos(self.env.unwrapped.state[0]), + np.sin(self.env.unwrapped.state[0]), + np.cos(self.env.unwrapped.state[1]), + np.sin(self.env.unwrapped.state[1]), + self.env.unwrapped.state[2], + self.env.unwrapped.state[3], + ], + dtype=np.float32, + ) + info = {} + state = self._add_context_to_state(state) + info["context_id"] = self.context_id + return state, info diff --git a/carl/envs/gymnasium/classic_control/carl_cartpole.py b/carl/envs/gymnasium/classic_control/carl_cartpole.py index 93c663b8..ff8c7a31 100644 --- a/carl/envs/gymnasium/classic_control/carl_cartpole.py +++ b/carl/envs/gymnasium/classic_control/carl_cartpole.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Optional + import numpy as np from carl.context.context_space import ContextFeature, UniformFloatContextFeature @@ -37,3 +39,27 @@ def get_context_features() -> dict[str, ContextFeature]: "initial_state_upper", lower=-np.inf, upper=np.inf, default_value=0.1 ), } + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ): + super().reset(seed=seed, options=options) + self.env.unwrapped.state = self.env.np_random.uniform( + low=self.context.get( + "initial_state_lower", + self.get_context_features()["initial_state_lower"].default_value, + ), + high=self.context.get( + "initial_state_upper", + self.get_context_features()["initial_state_upper"].default_value, + ), + size=(4,), + ) + state = np.array(self.env.unwrapped.state, dtype=np.float32) + info = {} + state = self._add_context_to_state(state) + info["context_id"] = self.context_id + return state, info diff --git a/carl/envs/gymnasium/classic_control/carl_mountaincar.py b/carl/envs/gymnasium/classic_control/carl_mountaincar.py index ac8b49ef..dcde2e77 100644 --- a/carl/envs/gymnasium/classic_control/carl_mountaincar.py +++ b/carl/envs/gymnasium/classic_control/carl_mountaincar.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Optional + import numpy as np from carl.context.context_space import ContextFeature, UniformFloatContextFeature @@ -46,3 +48,37 @@ def get_context_features() -> dict[str, ContextFeature]: "max_velocity_start", lower=-np.inf, upper=np.inf, default_value=0 ), } + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ): + super().reset(seed=seed, options=options) + position = self.env.np_random.uniform( + low=self.context.get( + "min_position_start", + self.get_context_features()["min_position_start"].default_value, + ), + high=self.context.get( + "max_position_start", + self.get_context_features()["max_position_start"].default_value, + ), + ) + velocity = self.env.np_random.uniform( + low=self.context.get( + "min_velocity_start", + self.get_context_features()["min_velocity_start"].default_value, + ), + high=self.context.get( + "max_velocity_start", + self.get_context_features()["max_velocity_start"].default_value, + ), + ) + self.env.unwrapped.state = np.array([position, velocity]) + state = np.array(self.env.unwrapped.state, dtype=np.float32) + info = {} + state = self._add_context_to_state(state) + info["context_id"] = self.context_id + return state, info diff --git a/carl/envs/gymnasium/classic_control/carl_mountaincarcontinuous.py b/carl/envs/gymnasium/classic_control/carl_mountaincarcontinuous.py index b16f357e..155823b2 100644 --- a/carl/envs/gymnasium/classic_control/carl_mountaincarcontinuous.py +++ b/carl/envs/gymnasium/classic_control/carl_mountaincarcontinuous.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Optional + import numpy as np from carl.context.context_space import ContextFeature, UniformFloatContextFeature @@ -43,3 +45,37 @@ def get_context_features() -> dict[str, ContextFeature]: "max_velocity_start", lower=-np.inf, upper=np.inf, default_value=0 ), } + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ): + super().reset(seed=seed, options=options) + position = self.env.np_random.uniform( + low=self.context.get( + "min_position_start", + self.get_context_features()["min_position_start"].default_value, + ), + high=self.context.get( + "max_position_start", + self.get_context_features()["max_position_start"].default_value, + ), + ) + velocity = self.env.np_random.uniform( + low=self.context.get( + "min_velocity_start", + self.get_context_features()["min_velocity_start"].default_value, + ), + high=self.context.get( + "max_velocity_start", + self.get_context_features()["max_velocity_start"].default_value, + ), + ) + self.env.unwrapped.state = np.array([position, velocity]) + state = np.array(self.env.unwrapped.state, dtype=np.float32) + info = {} + state = self._add_context_to_state(state) + info["context_id"] = self.context_id + return state, info diff --git a/carl/envs/gymnasium/classic_control/carl_pendulum.py b/carl/envs/gymnasium/classic_control/carl_pendulum.py index 29f314a8..4148886a 100644 --- a/carl/envs/gymnasium/classic_control/carl_pendulum.py +++ b/carl/envs/gymnasium/classic_control/carl_pendulum.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Optional + import numpy as np from carl.context.context_space import ContextFeature, UniformFloatContextFeature @@ -34,3 +36,29 @@ def get_context_features() -> dict[str, ContextFeature]: "initial_velocity_max", lower=0, upper=np.inf, default_value=1 ), } + + def reset( + self, + *, + seed: Optional[int] = None, + options: Optional[dict] = None, + ): + super().reset(seed=seed, options=options) + theta = self.env.np_random.uniform( + high=self.context.get( + "initial_angle_max", + self.get_context_features()["initial_angle_max"].default_value, + ) + ) + thetadot = self.env.np_random.uniform( + high=self.context.get( + "initial_velocity_max", + self.get_context_features()["initial_velocity_max"].default_value, + ) + ) + self.env.unwrapped.state = np.array([theta, thetadot], dtype=np.float32) + state = np.array([np.cos(theta), np.sin(theta), thetadot], dtype=np.float32) + info = {} + state = self._add_context_to_state(state) + info["context_id"] = self.context_id + return state, info diff --git a/carl/envs/mario/carl_mario.py b/carl/envs/mario/carl_mario.py index 05211a03..75fae6ca 100644 --- a/carl/envs/mario/carl_mario.py +++ b/carl/envs/mario/carl_mario.py @@ -2,30 +2,23 @@ from typing import List +import sys + import numpy as np from carl.context.context_space import ( CategoricalContextFeature, ContextFeature, UniformFloatContextFeature, + UniformIntegerContextFeature, ) from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv -from carl.envs.mario.mario_env import MarioEnv -from carl.envs.mario.toad_gan import generate_level +from carl.envs.mario.pcg_smb_env import MarioEnv +from carl.envs.mario.pcg_smb_env.toadgan.toad_gan import generate_level from carl.utils.types import Contexts -try: - from carl.envs.mario.toad_gan import generate_initial_noise -except FileNotFoundError: - from torch import Tensor - - def generate_initial_noise(width: int, height: int, level_index: int) -> Tensor: - return Tensor() - - -INITIAL_HEIGHT = 16 -INITIAL_WIDTH = 100 +LEVEL_HEIGHT = 16 class CARLMarioEnv(CARLEnv): @@ -52,42 +45,35 @@ def __init__( **kwargs, ) self.levels: List[str] = [] - self._update_context() def _update_context(self) -> None: self.env: MarioEnv + self.context = CARLMarioEnv.get_context_space().insert_defaults(self.context) if not self.levels: for context in self.contexts.values(): - level = generate_level( - width=INITIAL_WIDTH, - height=INITIAL_HEIGHT, + level, _ = generate_level( + width=context["level_width"], + height=LEVEL_HEIGHT, level_index=context["level_index"], - initial_noise=context["noise"], + seed=context["noise_seed"], filter_unplayable=True, ) self.levels.append(level) self.env.mario_state = self.context["mario_state"] self.env.mario_inertia = self.context["mario_inertia"] - self.env.levels = [self.levels[self.context_index]] - - def _log_context(self) -> None: - if self.logger: - loggable_context = {k: v for k, v in self.context.items() if k != "noise"} - self.logger.write_context( - self.episode_counter, self.total_timestep_counter, loggable_context - ) + self.env.levels = [self.levels[self.context_id]] @staticmethod def get_context_features() -> dict[str, ContextFeature]: return { + "level_width": UniformIntegerContextFeature( + "level_width", 16, 1000, default_value=100 + ), "level_index": CategoricalContextFeature( "level_index", choices=np.arange(0, 14), default_value=0 ), - "noise": UniformFloatContextFeature( - "noise", - lower=-1.0, - upper=1.0, - default_value=generate_initial_noise(INITIAL_WIDTH, INITIAL_HEIGHT, 0), + "noise_seed": UniformIntegerContextFeature( + "noise_seed", 0, sys.maxsize, default_value=0 ), "mario_state": CategoricalContextFeature( "mario_state", choices=[0, 1, 2], default_value=0 diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Mario-AI-Framework-0.8.0-SNAPSHOT.jar b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Mario-AI-Framework-0.8.0-SNAPSHOT.jar new file mode 100644 index 00000000..6066ea57 Binary files /dev/null and b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Mario-AI-Framework-0.8.0-SNAPSHOT.jar differ diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Readme.md b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Readme.md new file mode 100644 index 00000000..0b324dbb --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/Readme.md @@ -0,0 +1,7 @@ +# Mario AI Framework + +## Build + +```bash +mvn clean package && mv target/Mario-AI-Framework-0.8.0-SNAPSHOT.jar . +``` diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-1.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-1.txt new file mode 100644 index 00000000..634245db --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-1.txt @@ -0,0 +1,16 @@ +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +----------------------------------------------------------------------------------g----------------------------------------------------------------------------------------------------------------------- +----------------------!---------------------------------------------------------SSSSSSSS---SSS!--------------@-----------SSS----S!!S--------------------------------------------------------##------------ +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------###------------ +-------------------------------------------------------------------------------g----------------------------------------------------------------------------------------------------------####------------ +----------------------------------------------------------------1------------------------------------------------------------------------------------------------------------------------#####------------ +----------------!---S@S!S---------------------tt---------tt------------------S@S--------------C-----SU----!--!--!-----S----------SS------#--#----------##--#------------SS!S------------######------------ +--------------------------------------tt------tt---------tt-----------------------------------------------------------------------------##--##--------###--##--------------------------#######------------ +----------------------------tt--------tt------tt---------tt----------------------------------------------------------------------------###--###------####--###-----tt--------------tt-########--------F--- +---M-----------------g------tt--------tt-g----tt-----g-g-tt------------------------------------g-g--------k-----------------gg-g-g----####--####----#####--####----tt---------gg---tt#########--------#--- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-10.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-10.txt new file mode 100644 index 00000000..ee1ed898 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-10.txt @@ -0,0 +1,16 @@ +------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------ +--------------------------------oo-------------------------------------------------------------------------------------------------------------------- +-------------------------------------g-g-------------------------------------------------------------------------------------------------------------- +----------------------ooor---------%%%%%%%-------------oooo----------R------------------oo--oo-------------------------------------------------------- +---------------------%%%%%----------|||||--------------%%%%----------------g----oo---------------------------R-----oo--------------------##----------- +----------------------|||-----------|||||----oo---------||-------------%%%%%%------------------------r-----------------------------------##----------- +----------------------|||-----------|||||---------------||--------------||||-----------------------%%%%%%%%-------------------SSS------####----------- +----------------------|||-----%%%%%-|||||---------SSS---||--------------||||-----SS-----------------||||||-----------------------------####----------- +-------------------%%%%%%%%----|||--|||||---------------||-------%%%----||||-------------SS---------||||||-----%%%%--%%%%------------######----------- +--------------------||||||-----|||--|||||-------------U-||--------|-----||||------------------------||||||------||----||-------------######----------- +--------------------||||||--o--|||--|||||---------------||--------|-----||||-----------------%%%%---||||||------||----||-------------######--------F-- +-M-----------%%%%---||||||-%%%-|||--|||||---------------||--------|-----||||------------------||----||||||--ooo-||----||---------r---######--------#-- +XXXXXXXXXXX---||----||||||--|--|||--|||||----%%%%-----%%%%%-%%%%%-|-----||||------------------||----||||||--%%%-||----||----XXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXX---||----||||||--|--|||--|||||-----||-------|||---|||--|-----||||------------------||----||||||---|--||----||----XXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-11.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-11.txt new file mode 100644 index 00000000..ee29a06c --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-11.txt @@ -0,0 +1,16 @@ +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +-----------------------------US-----------------------------------------------------y---------------------2--------------------------------------------------------------###------------ +----------------------------------------------------------------------------------#SSS---------------------------------------------------------y-------------------------###------------ +---------------------------------------------------------------------oo----------##------------------------------------y---------------------#SS--o-------------------y--###------------ +-----------------------------------------------------------------y--------------###1--------------ooo------------------XSS-?Q---------------##------------------------#--###------------ +---------QQ-----------------####--SSC------------------ooo-------##-------------###-----------------------2-----------XX-------------------###--SC-------------------##--###------------ +-----------------------y-#####----------------------------------###-----------#-###--SSS-------TT--------------------XXX------------------####---------------------y###--###------------ +--------------------y-######-----------------------------------####----------##-###------------TT-------------------XXXX-------y---------#####---SSS---------------####--###--------F--- +-------------------#######------------------y-y---------------#####-------------###---------y--TT-------y--y-------XXXXX---SSSSS-----y--######--------------------#####--###--------#--- +XXXXXXXXXXXXX--XXXXXXXXX------XX--XXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-------XX-XXXXXXXXXXXX------XXXXXXXXX---XXXXXXX--XXXXXXXXXXXXXXX +XXXXXXXXXXXXX--XXXXXXXXX------XX--XXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-------XX-XXXXXXXXXXXX------XXXXXXXXX---XXXXXXX--XXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-12.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-12.txt new file mode 100644 index 00000000..7ebba252 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-12.txt @@ -0,0 +1,16 @@ +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------K------------ +--------------------------------------------------------------g----------------------------------------------------k-------------------------------------------------------------------------------------------------- +------------------SCS-----------------------------------------SSSSS-----SSSSS---------------------------------S---SSSSSSSSS------------US---SS-------------SSS-------------------------------------------##----------- +---------------------------TT-----------------------------------------------------------------------------TT------------------------------------------------------TT------------------------------------###----------- +---------------------------TT----------------------------TT-----------------------TT----------------------TT------------------------------------------------------TT-----------------------------------####----------- +---------------------------XX----------------------TT----TT-----------------------TT----------------------TT-------------------------SS---------------------------TT----------------------------------#####----------- +-----SSS------TT---2---TT----------------TT---SU---TT----XX------------------2----TT-------------tt------SXXS------------------------------SSS---------#---SSS----XX-----TT-------TT----------------TT#####----------- +--------------TT-------TT-------------K--TT--------TT----------------------TT-----TT-----TT------tt-----------------------------------------------#-TT-#-----------------TT-----TTTT----TT---------#TT#####----------- +--------------TT-------TT-----TTTT-------TT--------TT---------TT-----tt----TT--TT-TT-----TT------tt-TT--------TT--------------TT--TT-------------##-TT-##----------------TT---TTTTTT----TT--------##TT#####--------F-- +--------------TT----k--TT-----TTTT-------TT------k-TT---------TT-----tt----TT--TT-TT---k-TT------tt-TT--------TT--------------TT--TT------------###-TT-##---------k------TT---TTTTTT----TT-------###TT#####--------#-- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX------XXXXXXXXXXXX-X-XXXXXXXX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX------XXXXXXXXXXXX-X-XXXXXXXX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-13.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-13.txt new file mode 100644 index 00000000..7b6a75f0 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-13.txt @@ -0,0 +1,16 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- +-----------------------oo-------------------------------------------------------ooo---------------------------------------------------------------------------------- +--------------------------------------------------?-----------------------------%%%------------------------------------------------------------------oo-------------- +--------------------------------------ooooooo------------------------------------|----------------------------------------------------------------------------------- +----------------------SSSS---------SSSS---------------------------SSoo----SS-----|----------------------------------------oo---%%%%--------------------%%%%---------- +------------------------------------------------SSSS-----------------------------|-------------------------------SSS------SS----||--------------SSS-----||----------- +-----------------------------------------SSSS------------------------------------|----------------------------------------------||------SSS-oo----------||----------- +---------------------------------------------------------------------------------|---%%%%------oooo-----------------------------||----------------------||----------- +----------------%%%%------%%%%%-----------------------------%%%%%%----SS-----SS--|----||--------------%%%%%%-----------------SS-||%%%%%-----SS----------||----------- +-----------------||--------|||-------------------------SSS---||||---------------%%%%%%||---------------||||---------------------||-|||------------------||----------- +-----------------||--------|||--------------%%%%%------------||||----------------||||-||---------------||||---------------------||-|||------------------||---------F- +-M---------------||--------|||---------------|||-------------||||----------------||||-||---------------||||---------------------||-|||------------------||---------X- +XXXXXXXXXXX--%%%%||%%%%----|||--%%%%--%%%%---|||-------------||||----------------||||-||%%%%%%%%%-%%%%-||||-%%%%%%----%%%%-----%%%%|||------------------||-XXXXXXXXXX +XXXXXXXXXXX---||-||-||-----|||---||----||----|||-------------||||----------------||||-||-|||||||---||--||||--||||------||-------||-|||------------------||-XXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-14.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-14.txt new file mode 100644 index 00000000..69fc658d --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-14.txt @@ -0,0 +1,16 @@ +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------U------------------------------- +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +--------------------------------------------------------------------------------K---------------------------------------------------------------------------------k------------- +--------------------USS-----------------------------------------------------SSSSSS----1----------------------------------------SSSSS------------------------------##------------ +--------------------------------------------------------------------------------------------------------------------------------------------------SS-------------###------------ +---------------------------------------------------------B---------------------------------------------------------------------------------------------#--------####------------ +---------------------------------------------------------b-------------------K--------------------------------------------------K-------------SS------##-------#####------------ +--------------------------------QQQQ-------------------SS#CS---------------SSSSSSS---------------------------------------------SSSSS-----------------###------######------------ +-----------------K---B---------------K-B-----K---B-------------------TT---------------TT--------------TT--------------------------K---#----B--------####-----#######------------ +------------B--------b-------B---------b---------b---------K-B-------TT---------------TT---------B----TT----TT-----B-----TT-----------#----b-------#####----########--------F--- +-M----------b--------B-------b---------b---------B-----------b-------TT---------------TT---------b----TT-k--TT-----b-----TT-----------#----B------######---#########--------#--- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-15.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-15.txt new file mode 100644 index 00000000..cad18f6b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-15.txt @@ -0,0 +1,16 @@ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------oo----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------SSSSCSSS------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------##------------ +-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------##------------ +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------#-----------------------------------------------------------------------------------#-##------------ +---------------------------------------------------------o---------------1--------o--------o-------------------------------------------------------------------------------------SSUSSSSS-------------------------------oo---------------------tt-------------------------------##--oo------o----o-------------------oo---oo-----------------------------------------#-##------------ +----------------------------TT---------------------------------------TT----------------TT--------TT-----------------------------------------------#----2----#------------------------------------------------------------------------------TT--tt------------------------------###---------------------------------------------------------------------------------#-#-##------------ +----------------------------TT---------------------------------------TT----TT----------TT--------TT----------------------------------TT-----------#------K--#-------K------------------------------------------------------------------TT--TT--tt-----------------------------####---------------------------------------------------------------TT----------------#-#-##------------ +----------------------------TT---------------------------------------TT----TT----------TT--------TT---------tt-----------------------TT-----------#---------#-----------K----------------------------------#---------------------------TT--TT--tt----------------------------#####----------------------#---#------------------------------------TT---------TT---#-#-#-##--------F--- +-M------------k-ggg-----ggg-TT----k-k---------------k---------ggg----TT---kTT----------TT--------TT---ggg---tt-k----kkk---kkk--------TT------ggg--#---------#--------------------------------------------kk#----------------------ggg--TT--TT--tt-----k--ggg-----ggg------gg######--k-------------------#-k-#-----------------------k------kkk---TT---------TT---#-#-#-##--------#--- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-XX-XX-XX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-XX-X-XX-XXXXXXXXXXXXXXXXX-X-X-XXXXXXXXXXXXXXXXXXX------XXXXXXXXXX-XX--XX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XX---XXXXXXXXXXXXXXXX-----X----XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-X-X-XXXXXXXXXXXXXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-XX-XX-XX-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-XX-X-XX-XXXXXXXXXXXXXXXXX-X-X-XXXXXXXXXXXXXXXXXXX------XXXXXXXXXX-XX--XX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XX---XXXXXXXXXXXXXXXX-----X----XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX-X-X-X-XXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-2.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-2.txt new file mode 100644 index 00000000..b07cd0d0 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-2.txt @@ -0,0 +1,16 @@ +-------------------------------------------------------------------------------------------------------------------------------------------------------------- +-------------------------------------------------------------------------------------------------------------------------------------------------------------- +-------------------------------------------------------------------------------------------------------------------------------------------------------------- +S-----SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSLSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS-------------------- +S-----------------------------------------------------SS--SSSSSS--SSSS------SSSS------------------------------------------------------------------------------ +S-----------------------------------------------------SS--SSSSSS--SSSS---g--SSSS------------------------------------------------------------------------------ +S----------------------------------------oooo-------SS--------SS---S----SS----------oooooo--------------------------------------------------SSS--------------- +S---------------------------------------------------SS--------SS---S----SS------------------------------------------------------------------------------------ +S--------------------------------------S-SSSS-U-----SS--------SS---S----SS----------SSSSSS-------------------------------------------------------------------- +S----------------------------C---------SoS--SoS-----SS----ooooSS---SoU--SC--g-g-----SSSSSS-------------------------------------------------------SSSSSSU------ +S---------@QQQQ--------#-#-------------SSS--SSS-----SSSS--SSSSSS---SSS--SS--SSSS-----------------------------TT------------------------g##-------------------- +S--------------------#-#-#-#---#----------------------SS-----------------------------------------------TT----TT-----------SS-----------###-------------------- +S----------------g-#-#-#-#-#---#-#--------------------SS-----------------------------------------------TT----TT----TT-----SS---------g####--SSS--------------- +S--M------------g#-#-#-#-#-#-E-#-#--------kk----------------k--g-g------------------------------g-g-g--TT----TT--g-TT-----SS---------#####---------r--------F- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XX--XXXXXXXXXXXX-------XXXXXXXX--XXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XX--XXXXXXXXXXXX-------XXXXXXXX--XXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-3.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-3.txt new file mode 100644 index 00000000..91ee2a0b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-3.txt @@ -0,0 +1,16 @@ +------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------ +--------------------------------oo-------------------------------------------------------------------------------------------------------------------- +---------------------------------------g-g------------------------------------------------------------------------------------------------------------ +----------------------ooor---------%%%%%%%-------------oooo----------R------------------oo--oo-------------------------------------------------------- +---------------------%%%%%----------|||||--------------%%%%----------------g----oo---------------------------R-----oo--------------------##----------- +----------------------|||-----------|||||----oo---SSSS--||-------------%%%%%%----------------------------r-------------------------------##----------- +----------------------|||-----------|||||---------------||--------------||||-----------------------%%%%%%%%----------------------------####----------- +----------------------|||-----%%%%%-|||||---------------||--------------||||-----SSS----------------||||||---------------------SSS-----####----------- +-------------------%%%%%%%%----|||--|||||---------------||-------%%%----||||-------------SSS--------||||||-----%%%%--%%%%------------######----------- +--------------------||||||-----|||--|||||-------------U-||--------|-----||||------------------------||||||------||----||-------------######----------- +--------------------||||||--o--|||--|||||---------------||--------|-----||||-----------------%%%%---||||||------||----||-------------######--------F-- +-------------%%%%---||||||-%%%-|||--|||||---------------||--------|-----||||------------------||----||||||--ooo-||----||---------r---######--------#-- +XXXXXXXXXXX---||----||||||--|--|||--|||||----%%%%-----%%%%%-%%%%%-|-----||||------------------||----||||||--%%%-||----||----XXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXX---||----||||||--|--|||--|||||-----||-------|||---|||--|-----||||------------------||----||||||---|--||----||----XXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-4.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-4.txt new file mode 100644 index 00000000..4492bfc2 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-4.txt @@ -0,0 +1,16 @@ +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------XX------------ +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------XX------------ 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+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ 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a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-8.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-8.txt new file mode 100644 index 00000000..90b93851 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-8.txt @@ -0,0 +1,16 @@ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 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+S----------------------------------------------------------SSS--2-------------TT-----------------------------------SSS------SSS---------------------------------S-------------------TT----- +S------------------------------------------ggg-----------------2-2------------TT-------S--------------------------------------------------------------------------oooooooooo--------TT----- +S---------------------SSSSSS?-SSSSSSSSSSSSSSSSSS--QQ--QQQ---------2---------SCTTSU-------------------------TT----------SSSS-------------------TT-----------------USSSSSSSSSS----#---TT----F +S---------------------SSSSS---SSSSSSSSSSSSSSSSSS------------------------TT----TT----TT---tt-------------#--TT--##-------------------------TT--TT----------#--------------------##---TT---SS +S---------------------SSSSS---SSSSSSSSSSSSSSSSSS------------------------TT----TT----TT---tt------------##--TT--##------------------tt-----TT--TT---------##-SSS---------------###---TT---SS +S--------------------------oooSSSSSSSSSSSSSSSSSS------------------------TT---kTT---kTT--ktt---------kk-##--TT--##------------------tt----kTT--TT--------###-------------kk---####--kTT---SS +XXXXXXXXXXX--XX--X---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX------XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XX--XX------XXXX------XXXXXXXXXXXXXXX--XXXXXXXXX-----XXXXXXXXXXXXXXXXXXXXXXX--XX +XXXXXXXXXXX--XX--X---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX------XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XX--XX------XXXX------XXXXXXXXXXXXXXX--XXXXXXXXX-----XXXXXXXXXXXXXXXXXXXXXXX--XX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-9.txt b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-9.txt new file mode 100644 index 00000000..ebebe81b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/levels/original/lvl-9.txt @@ -0,0 +1,16 @@ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ +-------------------------------------------------------------------------------------SUS------------------------------------------------------------------------------------------------##------------ +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------##------------ +-------------------------------------------------------------------------------------------------------------------------------------------------------TT-------------------------------##------------ +-------------------------------------------------------------------------------------------------------------------------------------------------------TT------------------------K---#--##------------ +------------------------------------------------------------------------------------#####-----------------------------------------------------#LSS-----##---------------------------##--##------------ +---------------------------------------TT-----TT----K-------------------------------#--------------------------#------------------------------#------------------------------------###--##------------ +---------------------------------------TT-----TT-----------------------------------K#---------------------*----#------------------------------#-----------*---TT-----*------------####------------F--- +-M--------k---ggg--------ggg---------kkTT-----TT-----------ggg-------ggg------------#--------------ggg----*----#----ggg--k----ggg-----------kk#-----------*---TT-----*-----K-----#####------------#--- +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX----XXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX----XXXXXXXXXXXXXXXXXX--XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX---XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/pom.xml b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/pom.xml new file mode 100644 index 00000000..dcb87fd3 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/pom.xml @@ -0,0 +1,40 @@ + + 4.0.0 + de.uni-hannover.tnt + Mario-AI-Framework + jar + 0.8.0-SNAPSHOT + Mario AI Framework + http://maven.apache.org + + + UTF-8 + + + + + org.apache.maven.plugins + maven-compiler-plugin + 3.8.0 + + 11 + + + + + org.apache.maven.plugins + maven-jar-plugin + 2.4 + + + + true + + + + + + + diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/GenerateLevel.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/GenerateLevel.java new file mode 100644 index 00000000..d0f7f9ef --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/GenerateLevel.java @@ -0,0 +1,31 @@ +import engine.core.MarioGame; +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioResult; +import engine.core.MarioTimer; + +public class GenerateLevel { + public static void printResults(MarioResult result) { + System.out.println("****************************************************************"); + System.out.println("Game Status: " + result.getGameStatus().toString() + + " Percentage Completion: " + result.getCompletionPercentage()); + System.out.println("Lives: " + result.getCurrentLives() + " Coins: " + result.getCurrentCoins() + + " Remaining Time: " + (int) Math.ceil(result.getRemainingTime() / 1000f)); + System.out.println("Mario State: " + result.getMarioMode() + + " (Mushrooms: " + result.getNumCollectedMushrooms() + " Fire Flowers: " + result.getNumCollectedFireflower() + ")"); + System.out.println("Total Kills: " + result.getKillsTotal() + " (Stomps: " + result.getKillsByStomp() + + " Fireballs: " + result.getKillsByFire() + " Shells: " + result.getKillsByShell() + + " Falls: " + result.getKillsByFall() + ")"); + System.out.println("Bricks: " + result.getNumDestroyedBricks() + " Jumps: " + result.getNumJumps() + + " Max X Jump: " + result.getMaxXJump() + " Max Air Time: " + result.getMaxJumpAirTime()); + System.out.println("****************************************************************"); + } + + public static void main(String[] args) { + MarioLevelGenerator generator = new levelGenerators.notch.LevelGenerator(); + String level = generator.getGeneratedLevel(new MarioLevelModel(150, 16), new MarioTimer(5 * 60 * 60 * 1000)); + MarioGame game = new MarioGame(); + // printResults(game.playGame(level, 200, 0)); + printResults(game.runGame(new agents.robinBaumgarten.Agent(), level, 20, 0, true)); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/PlayLevel.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/PlayLevel.java new file mode 100644 index 00000000..890cb3dc --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/PlayLevel.java @@ -0,0 +1,39 @@ +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Paths; + +import engine.core.MarioGame; +import engine.core.MarioResult; + +public class PlayLevel { + public static void printResults(MarioResult result) { + System.out.println("****************************************************************"); + System.out.println("Game Status: " + result.getGameStatus().toString() + + " Percentage Completion: " + result.getCompletionPercentage()); + System.out.println("Lives: " + result.getCurrentLives() + " Coins: " + result.getCurrentCoins() + + " Remaining Time: " + (int) Math.ceil(result.getRemainingTime() / 1000f)); + System.out.println("Mario State: " + result.getMarioMode() + + " (Mushrooms: " + result.getNumCollectedMushrooms() + " Fire Flowers: " + result.getNumCollectedFireflower() + ")"); + System.out.println("Total Kills: " + result.getKillsTotal() + " (Stomps: " + result.getKillsByStomp() + + " Fireballs: " + result.getKillsByFire() + " Shells: " + result.getKillsByShell() + + " Falls: " + result.getKillsByFall() + ")"); + System.out.println("Bricks: " + result.getNumDestroyedBricks() + " Jumps: " + result.getNumJumps() + + " Max X Jump: " + result.getMaxXJump() + " Max Air Time: " + result.getMaxJumpAirTime()); + System.out.println("****************************************************************"); + } + + public static String getLevel(String filepath) { + String content = ""; + try { + content = new String(Files.readAllBytes(Paths.get(filepath))); + } catch (IOException e) { + } + return content; + } + + public static void main(String[] args) { + MarioGame game = new MarioGame(); + // printResults(game.playGame(getLevel("../levels/original/lvl-1.txt"), 200, 0)); + printResults(game.runGame(new agents.robinBaumgarten.Agent(), getLevel("./levels/original/lvl-1.txt"), 20, 0, true)); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Agent.java new file mode 100644 index 00000000..ff32596e --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Agent.java @@ -0,0 +1,74 @@ +package agents.andySloane; + +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; + +public final class Agent extends HeuristicSearchingAgent { + private PrioQ pq; + private static final int maxSteps = 800; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + super.initialize(model, timer); + pq = new PrioQ(Tunables.MaxBreadth); + } + + @Override + protected int searchForAction(MarioState initialState, WorldState ws) { + pq.clear(); + + initialState.ws = ws; + initialState.g = 0; + initialState.dead = false; + + float threshold = 1e10f; + + initialState.cost = cost(initialState, initialState); + + int a, n; + // add initial set + for (a = 0; a < 16; a++) { + if (useless_action(a, initialState)) + continue; + MarioState ms = initialState.next(a, ws); + ms.root_action = a; + ms.cost = Tunables.FactorC + cost(ms, initialState); + pq.offer(ms); + } + + MarioState bestfound = pq.peek(); + + // periodically grab the system millisecond clock and terminate the + // search after ~40ms + for (n = 0; n < maxSteps && !pq.isEmpty(); n++) { + MarioState next = pq.poll(); + + for (a = 0; a < 16; a++) { + if (useless_action(a, next)) + continue; + MarioState ms = next.next(a, next.ws); + ms.pred = next; + + if (ms.dead) + continue; + + float h = cost(ms, initialState); + ms.g = next.g + Tunables.GIncrement; + ms.cost = ms.g + h + ((a & MarioState.ACT_JUMP) > 0 ? Tunables.FeetOnTheGroundBonus : 0); + bestfound = marioMin(ms, bestfound); + + if (h < 0.1f) + return ms.root_action; + + if (ms.cost < threshold) + pq.offer(ms); + } + } + + if (!pq.isEmpty()) + bestfound = marioMin(pq.poll(), bestfound); + // return best so far + pq.clear(); + return bestfound.root_action; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/BulletBillState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/BulletBillState.java new file mode 100644 index 00000000..c4761ff3 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/BulletBillState.java @@ -0,0 +1,106 @@ +package agents.andySloane; + +public final class BulletBillState extends SpriteState { + public static final float width = 4; + + @Override + public final float height() { + return 12; + } + + @Override + public final boolean dead() { + return deadTime != 0; + } + + @Override + public SpriteState clone() { + BulletBillState e = new BulletBillState(x, y, facing); + e.xa = xa; + e.ya = ya; + e.facing = facing; + e.deadTime = deadTime; + return e; + } + + BulletBillState(float _x, float _y, int dir) { + x = _x; + y = _y; + type = KIND_BULLET_BILL; + facing = dir; + xa = 4 * facing; + } + + BulletBillState(float _x, float _y, MarioState ms) { + x = _x; + y = _y; + type = KIND_BULLET_BILL; + facing = _x < ms.x ? 1 : -1; + xa = 4 * facing; + } + + // returns false iff we should remove the enemy from the list + @Override + public boolean move(WorldState ws) { + if (deadTime > 0) { + deadTime--; + + if (deadTime == 0) { + deadTime = 1; + return false; + } + + // track our path as we fall, dead + x += xa; + y += ya; + ya *= 0.95; + ya += 1; + return true; + } + + float sideWaysSpeed = 4f; + + xa = facing * sideWaysSpeed; + x += xa; + + return true; + } + + @Override + public SpriteState stomp(WorldState ws, MarioState ms) { + BulletBillState e = (BulletBillState) clone(); + e.xa = 0; + e.ya = 1; + e.deadTime = 100; + return e; + } + + @Override + public WorldState collideCheck(WorldState ws, MarioState ms) { + if (deadTime != 0) + return ws; + + float xMarioD = ms.x - x; + float yMarioD = ms.y - y; + // float w = 16; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height() && yMarioD < ms.height()) { + if (ms.ya > 0 && yMarioD <= 0 && (!ms.onGround || !ms.wasOnGround)) { + ws = ws.stomp(this, ms); + } else { + ms.getHurt(); + } + } + } + return ws; + } + + /* + * + * // TODO public boolean shellCollideCheck(Shell shell) { } + * + * public boolean fireballCollideCheck(SpriteState fireball) { } + * + */ + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/EnemyState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/EnemyState.java new file mode 100644 index 00000000..1b8968bb --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/EnemyState.java @@ -0,0 +1,324 @@ +package agents.andySloane; + +public class EnemyState extends SpriteState { + // we need to simulate enemy death, too, cuz it doesn't tell us whether + // we're looking at dead enemies + public boolean flyDeath = false; + + public static final float width = 4; + + @Override + public final float height() { + return type >= 4 && type <= 7 ? 24 : 12; + } + + @Override + public SpriteState clone() { + EnemyState e = new EnemyState(x, y, type); + e.xa = xa; + e.ya = ya; + e.facing = facing; + e.deadTime = deadTime; + e.flyDeath = flyDeath; + e.onGround = onGround; + return e; + } + + public final boolean avoidCliffs() { + return type == KIND_RED_KOOPA; + } + + public final boolean winged() { + switch (type) { + case KIND_GOOMBA_WINGED: + case KIND_RED_KOOPA_WINGED: + case KIND_GREEN_KOOPA_WINGED: + case KIND_SPIKY_WINGED: + return true; + } + return false; + } + + public final boolean spiky() { + switch (type) { + case KIND_FLOWER_ENEMY: + case KIND_SPIKY: + case KIND_SPIKY_WINGED: + return true; + } + return false; + } + + public final boolean noFireballDeath() { + switch (type) { + case KIND_SPIKY: + case KIND_SPIKY_WINGED: + return true; + } + return false; + } + + @Override + public final boolean dead() { + return deadTime != 0; + } + + EnemyState(float _x, float _y, int _type) { + x = _x; + y = _y; + type = _type; + // most likely they've been falling for a step before we ever see them + if (winged()) + ya = 0.6f; + else + ya = 2; + facing = -1; + } + + // returns false iff we should remove the enemy from the list + public boolean move(WorldState ws) { + if (deadTime > 0) { + deadTime--; + + if (deadTime == 0) { + deadTime = 1; // keep us marked dead even when the timer goes away + return false; + } + + // we have to keep track of dead enemies so we can keep sync with their position + if (flyDeath) { + x += xa; + y += ya; + ya *= 0.95; + ya += 1; + } + return true; + } + + float sideWaysSpeed = 1.75f; + + if (xa > 2) + facing = 1; + else if (xa < -2) + facing = -1; + + xa = facing * sideWaysSpeed; + + if (!move(xa, 0, ws)) + facing = -facing; + onGround = false; + move(0, ya, ws); + + ya *= winged() ? 0.95f : 0.85f; + xa *= DAMPING_X; // useless + + if (!onGround) { + if (winged()) + ya += 0.6f; + else + ya += 2; + } else if (winged()) + ya = -10; + + return true; + } + + @Override + public void resync(float x, float y, float prev_x, float prev_y) { + this.x = x; + this.y = y; + this.xa = x - prev_x; + if (this.xa == 0) { + // the only way we could be not moving horizontally is if we're dead. + // since we mispredicted this death, assume we've only been dead + // one frame. + deadTime = 9; + return; + } + facing = (this.xa < 0) ? -1 : 1; + this.ya = (y - prev_y) * (winged() ? 0.95f : 0.85f); + if (xa != 0 && ya == 0) { + // if we're moving along the ground, then we aren't dead from a + // shell or something + // deadTime = 0; + // hm. we can't necessarily resurrect enemies like this. + } + if (!onGround) { + if (winged()) + ya += 0.6f; + else + ya += 2; + } + // this is unlikely to be accurate on winged dudes but whatever + else if (winged()) + ya = -10; + + } + + private boolean move(float xa, float ya, WorldState ws) { + float height = this.height(); + + while (xa > 8) { + if (!move(8, 0, ws)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0, ws)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8, ws)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8, ws)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0, ws)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0, ws)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya, ws)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya, ws)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya, ws)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya, ws)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya, ws)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya, ws)) + collide = true; + + if (avoidCliffs() && onGround && !ws.isBlocking((int) ((x + xa + width) / 16), (int) ((y) / 16 + 1), xa, 1)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya, ws)) + collide = true; + + if (avoidCliffs() && onGround && !ws.isBlocking((int) ((x + xa - width) / 16), (int) ((y) / 16 + 1), xa, 1)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya, WorldState ws) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + return ws.isBlocking(x, y, xa, ya); + } + + @Override + public SpriteState stomp(WorldState ws, MarioState ms) { + EnemyState e = (EnemyState) clone(); + if (e.winged()) { + e.type--; + e.ya = 0; + } else { + e.deadTime = 10; + + if (type == KIND_RED_KOOPA || type == KIND_GREEN_KOOPA) { + ws.addShell(x, y); + } + } + return e; + } + + @Override + public WorldState collideCheck(WorldState ws, MarioState ms) { + if (deadTime != 0) + return ws; + + float xMarioD = ms.x - x; + float yMarioD = ms.y - y; + float height = this.height(); + if (xMarioD > -width * 2 - 4 && xMarioD < width * 2 + 4) { + if (yMarioD > -height && yMarioD < ms.height()) { + if ((!spiky()) && ms.ya > 0 && yMarioD <= 0 && (!ms.onGround || !ms.wasOnGround)) { + ws = ws.stomp(this, ms); + } else { + ms.getHurt(); + } + } + } + return ws; + } + + /* + * public SpriteState shellCollideCheck(ShellState shell) { if (deadTime != 0) + * return this; + * + * float xD = shell.x - x; float yD = shell.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height() && yD < shell.height()) { xa = + * shell.facing * 2; ya = -5; flyDeath = true; if (spriteTemplate != null) + * spriteTemplate.isDead = true; deadTime = 100; //winged = false; type --; hPic + * = -hPic; yPicO = -yPicO + 16; return true; } } return false; } + * + * public boolean fireballCollideCheck(SpriteState fireball) { if (deadTime != + * 0) return false; + * + * float xD = fireball.x - x; float yD = fireball.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height && yD < 8) { if (noFireballDeath) + * return true; + * + * xa = fireball.facing * 2; ya = -5; flyDeath = true; if (spriteTemplate != + * null) spriteTemplate.isDead = true; deadTime = 100; //winged = false; type + * --; hPic = -hPic; yPicO = -yPicO + 16; return true; } } return false; } + * + * public void bumpCheck(int xTile, int yTile) { if (deadTime != 0) return; + * + * if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) + * ((y - 1) / 16)) { xa = -world.mario.facing * 2; ya = -5; flyDeath = true; if + * (spriteTemplate != null) spriteTemplate.isDead = true; deadTime = 100; + * //winged = false; type --; hPic = -hPic; yPicO = -yPicO + 16; } } + */ +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FireballState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FireballState.java new file mode 100644 index 00000000..8f007277 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FireballState.java @@ -0,0 +1,84 @@ +package agents.andySloane; + +// not even started + +public class FireballState extends SpriteState { + public boolean onGround = false; + + public static final float width = 4; + public static final float height = 12; + + @Override + public final float height() { + return 12; + } + + @Override + public SpriteState clone() { + FireballState e = new FireballState(x, y, false); + e.xa = xa; + e.ya = ya; + e.facing = facing; + e.onGround = onGround; + return e; + } + + FireballState(float _x, float _y, boolean predicted) { + x = _x; + y = _y; + type = KIND_FIREBALL; + xa = 0; + ya = predicted ? -5 : -2.25f; + facing = 0; + } + + // returns false iff we should remove the enemy from the list + public boolean move(WorldState ws) { + return true; + } + + @Override + public void resync(float x, float y, float prev_x, float prev_y) { + this.x = x; + this.y = y; + this.xa = x - prev_x; + facing = this.xa == 0 ? 0 : (this.xa < 0) ? -1 : 1; + this.ya = (y - prev_y) * 0.85f; + if (!onGround) + ya += 2; + } + + @Override + public WorldState collideCheck(WorldState ws, MarioState ms) { + return ws; + } + + /* + * + * // if shells hit one another, they both go poof public boolean + * shellCollideCheck(ShellState shell) { if (deadTime != 0) return false; + * + * float xD = shell.x - x; float yD = shell.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height() && yD < shell.height) { xa = + * shell.facing * 2; ya = -5; flyDeath = true; deadTime = 100; return true; } } + * return false; } + * + * public SpriteState fireballCollideCheck(SpriteState fireball) { if (deadTime + * != 0) return false; + * + * float xD = fireball.x - x; float yD = fireball.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height && yD < 8) { xa = fireball.facing + * * 2; ya = -5; flyDeath = true; deadTime = 100; return true; } } return false; + * } + * + * public SpriteState bumpCheck(int xTile, int yTile, MarioState ms) { if + * (deadTime != 0) return; + * + * if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) + * ((y - 1) / 16)) { xa = -ms.facing * 2; ya = -5; flyDeath = true; deadTime = + * 100; } } + */ + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FlowerEnemyState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FlowerEnemyState.java new file mode 100644 index 00000000..04b72ad2 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/FlowerEnemyState.java @@ -0,0 +1,76 @@ +package agents.andySloane; + +public final class FlowerEnemyState extends EnemyState { + // we need to simulate enemy death, too, cuz it doesn't tell us whether + // we're looking at dead enemies + public int jumpTime = 0; + public int yStart = 200; + + public static final float width = 2; + + @Override + public SpriteState clone() { + FlowerEnemyState e = new FlowerEnemyState(x, y); + e.xa = xa; + e.ya = ya; + e.deadTime = deadTime; + return e; + } + + FlowerEnemyState(float _x, float _y) { + super(_x, _y, KIND_FLOWER_ENEMY); + // compensate for initial movement before we see them + // this is kind of approximate but close enough for the time being + yStart = (int) (_y + 28); + ya = -4.9049f; + jumpTime = 3; + facing = 0; + } + + // returns false iff we should remove the enemy from the list + @Override + public boolean move(WorldState ws) { + if (deadTime > 0) { + deadTime--; + + if (deadTime == 0) { + deadTime = 1; + return false; + } + + // death animation + x += xa; + y += ya; + ya *= 0.95; + ya += 1; + return true; + } + + if (y >= yStart) { + y = yStart; + + int xd = 25; // (int)(Math.abs(ms.x-x)); + jumpTime++; + if (jumpTime > 40 && xd > 24) { + ya = -8; + } else { + ya = 0; + } + } else { + jumpTime = 0; + } + + y += ya; + ya *= 0.9; + ya += 0.1f; + return true; + } + + public void resync(float x, float y, float prev_x, float prev_y) { + this.x = x; + this.y = y; + this.xa = 0; + this.ya = (y - prev_y) * 0.9f + 0.1f; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/HeuristicSearchingAgent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/HeuristicSearchingAgent.java new file mode 100644 index 00000000..26cbe4df --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/HeuristicSearchingAgent.java @@ -0,0 +1,267 @@ +package agents.andySloane; + +import java.io.IOException; +import java.util.Comparator; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public abstract class HeuristicSearchingAgent implements MarioAgent { + public static final Comparator msComparator = new MarioStateComparator(); + + protected final boolean[] action = new boolean[MarioActions.numberOfActions()]; + protected int[] marioPosition = null; + protected Sensors sensors = new Sensors(); + + // enable to single-step with the enter key on stdin + protected static final boolean stdinSingleStep = false; + + MarioState ms = null, ms_prev = null; + WorldState ws = null; + float pred_x, pred_y; + boolean won = false; + + protected final float cost(MarioState s, MarioState initial) { + float damage = Tunables.HurtCost * s.hurt; + if (s.dead) + return Tunables.DeadCost; + int MarioX = (int) s.x / 16 - s.ws.MapX; + int MarioY = (int) s.y / 16 - s.ws.MapY; + int goal = 15; + float fgoalX = (goal + s.ws.MapX) * 16 + 8; + // we're there! + if (s.x > fgoalX) { + // linearly interpolate at the max run speed to estimate how much + // farther past the goal we went + return (fgoalX - s.x) / 9.71f; + } + float xsteps = MarioMath.stepsToRun(fgoalX - s.x, s.xa); + if (MarioX < 0 || MarioX >= 22) // mario ran off the screen; we're done + return xsteps + damage; + + // We need to determine how many steps, at a minimum, it will take to + // jump over whatever obstacles are in front of us. + // + // We also need to know whether we're going to fall into an abyss with + // nothing we can do about it, as soon as it is possible to know this, + // so as to terminate the search here. + // + // So: if Mario is on the ground, we just figure in however long it + // takes to jump above obstacles of various heights; otherwise, we need + // to figure out the best place he could land and whether he needs to + // make a further jump from there + // + // First, what is the biggest obstacle in front of us? + + int ledgeY = 22; + int ledgeX = MarioX; + for (int i = MarioX; i <= goal; i++) { + if (s.ws.heightmap[i] < ledgeY) { + ledgeY = s.ws.heightmap[i]; + ledgeX = i; + } + } + + // fLedgeX,Y is mario's leftmost location atop highest ledge in front of us + float fLedgeY = (ledgeY + s.ws.MapY) * 16 - 1; + float fLedgeX = (ledgeX + s.ws.MapX) * 16 - 4; + + if (s.onGround) { + if (s.y <= fLedgeY) + return damage + xsteps; + else { + float sj = MarioMath.stepsToJump(s.y - fLedgeY); + float sr1 = MarioMath.stepsToRun(fLedgeX - s.x, s.xa); + float sr2 = MarioMath.stepsToRun(fgoalX - fLedgeX, s.xa); + // (this assumes we can reach the ledge from our current location..) + return damage + Math.max(sj, sr1) + sr2; + } + } else { + // we're in the air. okay, how far left and right can we possibly land? + MarioState l = s.clone(), r = s.clone(); + // save x and y at apogee + float apogeey = l.y; + int apogeesteps = 0; + int stepsR = 0; + while (!l.dead && !l.onGround) { + l.move(MarioState.ACT_SPEED | MarioState.ACT_LEFT | MarioState.ACT_JUMP); + } + while (!r.dead && !r.onGround) { + r.move(MarioState.ACT_SPEED | MarioState.ACT_RIGHT | MarioState.ACT_JUMP); + stepsR++; + if (r.y <= apogeey) { + // if we have an unobstructed path to the right then this + // should happen exactly once + apogeey = r.y; + apogeesteps = stepsR; + } + } + if (r.dead && l.dead) // we're dead no matter what! forget it! + return Tunables.DeadCost; + + // okay, now, can we surmount the highest obstacle in our current jump? + if (MarioMath.canReachLedge(s.x, s.xa, apogeesteps, apogeey, fLedgeX, fLedgeY)) { + // if so, then we're golden; just jump and run right. + return damage + xsteps; + } else { // if not, we have to land, then jump over it. + // search the heightmap between the left and right landings for + // the highest perch we can land on + int perchY = 22; + for (float i = l.x; i <= r.x; i += 16) { + int idx = (int) i / 16 - s.ws.MapX; + if (idx < 0 || idx >= 16) + continue; + if (s.ws.heightmap[idx] < perchY && s.ws.heightmap[idx] >= MarioY) { // look for leftmost edge + perchY = s.ws.heightmap[idx]; + } + } + // leftmost position to land + float landy = (perchY + s.ws.MapY) * 16 - 1; + // are we already above the landing? + // if(s.y <= landy) { this should always be true + // if so, then figure out how much time it takes to land, + // jump to the next ledge, and then run right + float sf = 0; // MarioMath.stepsToFall(landy - s.y, s.ya); + float sj = MarioMath.stepsToJump(fLedgeY - landy); + float sr1 = MarioMath.stepsToRun(fLedgeX - s.x, s.xa); + float sr2 = MarioMath.stepsToRun(fgoalX - fLedgeX, s.xa); + return damage + Math.max(sf + sj, sr1) + sr2; + } + } + + // unreachable + } + + static final public boolean useless_action(int a, MarioState s) { + // speed without left or right: useless + if ((a & MarioState.ACT_SPEED) > 0 && !((a & MarioState.ACT_LEFT) > 0 || (a & MarioState.ACT_RIGHT) > 0)) + return true; + // left and right at the same time: useless + if ((a & MarioState.ACT_LEFT) > 0 && (a & MarioState.ACT_RIGHT) > 0) + return true; + // jumping when the jump button doesn't do anything: useless + if ((a & MarioState.ACT_JUMP) > 0) { + if (s.jumpTime == 0 && !s.mayJump) + return true; + if (s.jumpTime <= 0 && !s.onGround && !s.sliding) + return true; + } + // standing next to something that we're going to collide with by + // moving right: useless (except for walljumps actually) + int ix = (int) s.x; + if ((a & MarioState.ACT_RIGHT) > 0 && s.xa == 0 && (s.x - ix) == 0 && (ix & 15) == (16 - 5)) { + // ok, we are exactly at a brick boundary. is there something there? + return s.ws.isBlocking((ix + 5) / 16, (int) (s.y / 16), 1, s.ya) + || s.ws.isBlocking((ix + 5) / 16, (int) (s.y / 16) - 1, 1, s.ya) + || s.ws.isBlocking((ix + 5) / 16, (int) (s.y / 16) - 2, 1, s.ya); + } + return false; + } + + protected abstract int searchForAction(MarioState initialState, WorldState ws); + + public static MarioState marioMin(MarioState a, MarioState b) { + if (a == null) + return b; + if (b == null) + return a; + // compare heuristic cost only + if ((a.cost - a.g) <= (b.cost - b.g)) + return a; + return b; + } + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + ms = null; + marioPosition = null; + won = false; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + if (won) // we won! we can't do anything! + return action; + + sensors.updateReadings(model); + marioPosition = sensors.getMarioPosition(); + float[] mpos = model.getMarioFloatPos(); + if (ms == null) { + // assume one frame of falling before we get an observation :( + ms = new MarioState(mpos[0], mpos[1], 0.0f, 3.0f); + ws = new WorldState(sensors.levelScene, ms, model.getEnemiesFloatPos()); + } else { + if (mpos[0] != pred_x || mpos[1] != pred_y) { + if (!epsilon(mpos[0], pred_x) || !epsilon(mpos[1], pred_y)) { + // generally this shouldn't happen, unless we mispredict + // something. currently if we stomp an enemy then we don't + // predict that and get confused. + + // but it will happen when we win, cuz we have no idea we won + // and it won't let us move. well, let's guess whether we won: + if (mpos[0] > 4000 && mpos[0] == ms_prev.x && mpos[1] == ms_prev.y) { + won = true; + return action; + } + } + } + resync(model, !epsilon(mpos[0], pred_x), !epsilon(mpos[1], pred_y)); + ms.ws.sync(ws, sensors.levelScene, ms, model.getEnemiesFloatPos()); + ws = ms.ws; + } + // resync these things all the time + ms.mayJump = model.mayMarioJump(); + ms.onGround = model.isMarioOnGround(); + ms.big = model.getMarioMode() > 0; + + int next_action = searchForAction(ms, ws); + ms_prev = ms; + ms = ms.next(next_action, ws); + pred_x = ms.x; + pred_y = ms.y; + + action[MarioActions.SPEED.getValue()] = (next_action & MarioState.ACT_SPEED) != 0; + action[MarioActions.RIGHT.getValue()] = (next_action & MarioState.ACT_RIGHT) != 0; + action[MarioActions.LEFT.getValue()] = (next_action & MarioState.ACT_LEFT) != 0; + action[MarioActions.JUMP.getValue()] = (next_action & MarioState.ACT_JUMP) != 0; + + if (stdinSingleStep) { + try { + System.in.read(); + } catch (IOException e) { + } + } + + return action; + } + + private static boolean epsilon(float a, float b) { + return Math.abs(a - b) < 0.01; + } + + private void resync(MarioForwardModel model, boolean x, boolean y) { + float[] mpos = model.getMarioFloatPos(); + ms.x = mpos[0]; + ms.y = mpos[1]; + + // lastmove_s was guessed wrong, or we wouldn't be out of sync. we can + // directly get the new xa and ya, as long as no collisions occurred. + // if there *was* a collision and xa,ya are wrong, they probably will + // be corrected by each call next() + if (ms_prev != null) { + // we may have stepped on a turtle or something though, in which + // case the following just fucks us up + if (x) + ms.xa = (ms.x - ms_prev.x) * 0.89f; + if (y) + ms.ya = (ms.y - ms_prev.y) * 0.85f; + } + } + + @Override + public String getAgentName() { + return "AndySloaneAgent"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioMath.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioMath.java new file mode 100644 index 00000000..d5005872 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioMath.java @@ -0,0 +1,138 @@ +package agents.andySloane; + +final class MarioMath { + + public static float stepsToJump(float h) { + if (h < 26.6f) + return 10 * h / 133; + if (h < 64.6) + return (float) (17 - Math.sqrt(281 - 80 * h / 19)) / 2; + return stepsToJump(64) + stepsToJump(h - 64); + } + + // I LOVE ALL THIS TYPING! + // NOT ONLY ON THE KEYBOARD, BUT ALSO THE CREATION OF NEW TYPES AND + // SPECIFYING THEIR USE + interface DistanceFunction { + float value(float dx0, float n); + } + + static private class FallDistance implements DistanceFunction { + public float value(float ya0, float steps) { + return fallDistance(ya0, steps); + } + } + + // converges quadratically but not always numerically stable + static private float secantSolve(DistanceFunction f, float distance, float dx0, float min) { + float x0 = min, x1 = min + 30, xdiff; + do { + float fx0 = f.value(dx0, x0); + float fx1 = f.value(dx0, x1); + xdiff = (fx1 - distance) * (x1 - x0) / (fx1 - fx0); + x0 = x1; + x1 -= xdiff; + // if our iteration takes us negative, negate and hope it doesn't loop + // if(x1 < min) x1 = 2*min-x1; // reflect about min + } while (Math.abs(xdiff) > 1e-4); + return x1; + } + + /////////////////////////////////////////////////////////////// + // public mathods (ha), finally + static private final FallDistance _fallDistance = new FallDistance(); + + static public float runDistance(float v0, float steps) { + // Mario's running iteration looks like this: + // xa'[n] = xa[n-1] + s + // x[n] = x[n-1] + xa'[n] + // xa[n] = xa'[n] * d + // Working through the recurrence: + // x[n] = x0 + xa0*Sum[d^i,{i,0,n-1}] + s*Sum[(n-i)*d^i,{i,0,n-1}] + // where d === damping = 89/100 and s === step size = 12/10 + // if you substitute and solve you get this: + + float d_n = (float) Math.pow(0.89f, steps); // d^n + return (1320 * steps - 20 * (d_n - 1) * (55 * v0 - 534)) / 121; + } + + static public float fallDistance(float ya0, float steps) { + // Mario's falling iteration looks like this: + // y[n] = y[n-1] + ya[n-1] + // ya[n] = (ya[n-1] * d) + s + // Solving the recurrence: + // ya[n] = ya0*d^n + s*Sum[d^i, {i,0,n-1}] + // y[n] = y0 + ya0*Sum[d^i, {i,0,n-1}] + s*(Sum[(n-1-i)*d^i, {i,0,n-2}]) + // + float d_n = (float) Math.pow(0.85f, steps); // d^n + return 20 * steps - 20 * (d_n - 1) * (ya0 - 20) / 3; + } + + static public float runSpeed(float xa0, float steps) { + float d_n = (float) Math.pow(0.89f, steps); + return -9.70909f * (d_n - 1) + d_n * xa0; + } + + // runDistance is terrible to invert, so use the secant method to solve it + // inlined + public static float stepsToRun(float distance, float v0) { + float x0 = 1, x1 = 2, xdiff; + float sgn = 1; + int c = 0; + if (distance < 0) { + sgn = -1; + distance = -distance; + } + do { + float fx0 = runDistance(v0, x0); + float fx1 = runDistance(v0, x1); + xdiff = (fx1 - distance) * (x1 - x0) / (fx1 - fx0); + x0 = x1; + x1 -= xdiff; + // if our iteration takes us negative, negate and hope it doesn't loop + if (x1 < 0) + x1 = -x1; // reflect about min + } while ((c++ < 1000) && (Math.abs(xdiff) > 1e-4)); + return x1 * sgn; + } + + // as, of course, is fallDistance + public static float stepsToFall(float height, float ya0) { + // this has too many numerical problems; let's just underestimate it + if (height < 0) { + height = -height; + ya0 = -ya0; + } + return secantSolve(_fallDistance, height, ya0, 0); + } + + // how long will it take us to stomp enemy e? + public static float stepsToStomp(MarioState ms, SpriteState e) { + float dx = stepsToRun(e.x - ms.x, ms.xa); + float dy = 0; + if (e.y < ms.y) { + if (ms.onGround) { + dy = stepsToJump(ms.y - e.y); + } else { + // ugh. steps to fall, then to jump? + } + } else if (e.y > ms.y) { + dy = stepsToFall(e.y - ms.y, ms.ya); + } + return (float) Math.sqrt(dx * dx + dy * dy); + } + + // can mario reach a ledge from his current jump trajectory + public static boolean canReachLedge(float x0, float xa, int apogeesteps, float apogeey, float x1, float y1) { + // how long will it take us to get from x0 to x1 at our current speed, + // regardless of the jump? + float nsteps = stepsToRun(x1 - x0, xa); + + // how far will we fall in that time? + float ya = 2.8045f; // after a full height jump, mario's ya will be 2.8045 at the apogee + float y = apogeey - fallDistance(ya, nsteps - apogeesteps); + + // do we end up higher than the ledge at that point? if so, we can make it. + return y <= y1; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioState.java new file mode 100644 index 00000000..24eab3dd --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioState.java @@ -0,0 +1,368 @@ +package agents.andySloane; + +public final class MarioState extends SpriteState { + // FIXME: try to minimize the sizes of these fields as much as possible; we + // allocate a huge number of MarioState objects. + public int jumpTime = 0, invulnerableTime = 0, hurt = 0; + public boolean big = true, // mario is big + dead = false, // yep + hurtThisStep = false, // auch + fire = true, // mario can throw fireballs + wasOnGround = false, // previous frame (used for stomping logic) + mayJump = true, // yep + sliding = false; // sliding down the side of a wall + public float xJumpSpeed = 0, yJumpSpeed = 0; // can we get rid of this somehow? + + public static int ACT_SPEED = 1; + public static int ACT_RIGHT = 2; + public static int ACT_LEFT = 4; + public static int ACT_JUMP = 8; + public static int[] jumpstep_table = {0, 1, 2, 4, 7}; + + // fields used by the search stuff + public float g, cost; // heuristic costs + public int root_action; + public WorldState ws; + + // these two are only needed for showing the paths taken + public int action; + public MarioState pred; // predecessor + + public MarioState(float _x, float _y, float _xa, float _ya) { + x = _x; + y = _y; + xa = _xa; + ya = _ya; + } + + public float height() { + return big ? 24 : 12; + } + + public void print() { + System.out.printf("g=%d a:%d x:(%f,%f) v:(%f,%f) %s%s%s cost=%f\n", (int) g, action, x, y, xa, ya, + onGround ? "G" : "g", mayJump ? "J" : "j", sliding ? "S" : "s", cost); + } + + public MarioState clone() { + MarioState n = new MarioState(x, y, xa, ya); + n.facing = facing; + n.jumpTime = jumpTime; + n.big = big; + n.fire = fire; + n.dead = dead; + n.hurt = hurt; + hurtThisStep = false; + n.onGround = onGround; + n.wasOnGround = onGround; + n.mayJump = mayJump; + n.sliding = sliding; + n.xJumpSpeed = xJumpSpeed; + n.yJumpSpeed = yJumpSpeed; + n.root_action = root_action; + n.invulnerableTime = invulnerableTime; + n.ws = ws; + return n; + } + + public MarioState next(int action, WorldState ws) { + MarioState n = clone(); + n.action = action; + n.pred = this; + + n.g = g + Tunables.GIncrement; + n.ws = ws; + n.move(action); + if (!hurtThisStep) { + n.ws = n.ws.step(); + n.ws = n.ws.interact(n, false); + } + + return n; + } + + public void move(int action) { + boolean ducking = false; // just... we aren't doing this + float sideWaysSpeed = (action & ACT_SPEED) != 0 ? 1.2f : 0.6f; + // System.out.println("move: sidewaysspeed = " + sideWaysSpeed); + // System.out.println(String.format("move: xy=%5.1f,%5.1f", x, y)); + + if (invulnerableTime > 0) + invulnerableTime--; + + if (xa > 2) + facing = 1; + else if (xa < -2) + facing = -1; + + // jumping logic + // note: jumpTime ranges from 7 downto 0 during a standard upward jump + // acceleration phase, after which the regular falling code takes over + // jumpTime ranges from -6 upto 0 in the rare case of walljumps + if ((action & ACT_JUMP) != 0 || (jumpTime < 0 && !onGround && !sliding)) { + if (jumpTime < 0) { // post-walljump + xa = xJumpSpeed; + ya = -jumpTime * yJumpSpeed; + jumpTime++; + + } else if (onGround && mayJump) { // initial jump phase + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 7; + ya = jumpTime * yJumpSpeed; + onGround = false; + sliding = false; + + } else if (sliding && mayJump) { // walljump? + xJumpSpeed = -facing * 6.0f; + yJumpSpeed = -2.0f; + jumpTime = -6; + xa = xJumpSpeed; + ya = -jumpTime * yJumpSpeed; + onGround = false; + sliding = false; + facing = -facing; + + } else if (jumpTime > 0) { // post-peak downward jump trajectory + // apparently this acts different than falling? + xa = xa + xJumpSpeed; + ya = jumpTime * yJumpSpeed; + jumpTime = jumpTime - 1; + } + } else { + jumpTime = 0; + } + + // ducking code elided + + if ((action & ACT_LEFT) != 0 && !ducking) { + if (facing == 1) + sliding = false; + xa -= sideWaysSpeed; + if (jumpTime >= 0) + facing = -1; + } + + if ((action & ACT_RIGHT) != 0 && !ducking) { + if (facing == -1) + sliding = false; + xa += sideWaysSpeed; + if (jumpTime >= 0) + facing = 1; + } + + if (((action & ACT_LEFT) == 0 && (action & ACT_RIGHT) == 0) || ducking || ya < 0 || onGround) { + sliding = false; + } + + // if ((action&ACT_SPEED) != 0 && canShoot && fire && world.fireballsOnScreen<2) + // { + // // in theory: add fireball to our state + // } + // canShoot = (action&ACT_SPEED) == 0; + + mayJump = (onGround || sliding) && (action & ACT_JUMP) == 0; + + if (Math.abs(xa) < 0.5f) { + xa = 0; + } + + // friction while sliding against a wall + if (sliding) + ya = ya * 0.5f; + + // System.out.println("move: (xa,ya)1 = " + xa + "," + ya); + + onGround = false; + move(xa, 0); + // System.out.println("move: (x,y,xa,ya)2 = " + x + "," + y + "," + xa + "," + + // ya); + move(0, ya); + // System.out.println("move: (x,y,xa,ya)3 = " + x + "," + y + "," + xa + "," + + // ya); + + // world.level.height hardcoded as 15 + if (y > 15 * 16 + 16) { + dead = true; + } + + if (x < 0) { + x = 0; + xa = 0; + } + + // System.out.println("move: (x,y,xa,ya)4 = " + x + "," + y + "," + xa + "," + + // ya); + + // maximum speed is DAMPING_X/(1-DAMPING_X) * impulse_per_step + // impulse_per_step = 0.6 if walking, 1.2 if running + // max speed = 4.85 walking, 9.7 running + xa *= DAMPING_X; + ya *= DAMPING_Y; + + // falling? + if (!onGround) + ya += 3; + + // System.out.println("move: (xa,ya)5 = " + xa + "," + ya); + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + int width = 4; + int height = big ? 24 : 12; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + sliding = true; + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + else + sliding = false; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + else + sliding = false; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + else + sliding = false; + } + if (xa < 0) { + sliding = true; + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else + sliding = false; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + else + sliding = false; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + else + sliding = false; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } else if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + jumpTime = 0; + this.ya = 0; + } else if (ya > 0) { + y = (int) ((y - 1) / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); // block's quantized pos + int y = (int) (_y / 16); + + int Mx = (int) (this.x / 16); // mario's quantized pos + int My = (int) (this.y / 16); + if (x == Mx && y == My) + return false; + + boolean blocking = ws.isBlocking(x, y, xa, ya); + + int block = ws.getBlock(x, y); + + if (block == 34) { // coin + // yay for crazy side effects: pick up coin + ws = ws.removeTile(x, y); + return false; + } + + if (blocking && ya < 0) + ws = ws.bump(x, y, big); + + return blocking; + } + + public void stomp(SpriteState enemy) { + float targetY = enemy.y - enemy.height() / 2; + move(0, targetY - y); + + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 8; + ya = jumpTime * yJumpSpeed; + onGround = false; + sliding = false; + invulnerableTime = 1; + } + + public void getHurt() { + if (invulnerableTime > 0) + return; + + if (big) { + if (fire) { + fire = false; + } else { + big = false; + } + invulnerableTime = 32; + } else { + dead = true; + } + hurt++; + hurtThisStep = true; + } + + public int marioMode() { + return ((big) ? 1 : 0) + ((fire) ? 1 : 0); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioStateComparator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioStateComparator.java new file mode 100644 index 00000000..83257ddd --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/MarioStateComparator.java @@ -0,0 +1,13 @@ +package agents.andySloane; + +import java.util.Comparator; + +public class MarioStateComparator implements Comparator { + public int compare(MarioState a, MarioState b) { + if (a.cost < b.cost) + return -1; + if (a.cost > b.cost) + return 1; + return 0; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/PrioQ.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/PrioQ.java new file mode 100644 index 00000000..07057723 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/PrioQ.java @@ -0,0 +1,104 @@ +package agents.andySloane; + +import java.util.*; + +public class PrioQ { + private static MarioStateComparator comparator = new MarioStateComparator(); + private MarioState[] queue; + private int size = 0; + + public PrioQ(int initialCapacity) { + this.queue = new MarioState[initialCapacity]; + } + + public boolean offer(MarioState e) { + if (e == null) + throw new NullPointerException(); + if (size == queue.length) + drop(); + int i = size; + size = i + 1; + if (i == 0) + queue[0] = e; + else + siftUp(i, e); + return true; + } + + public boolean isEmpty() { + return size == 0; + } + + public int size() { + return size; + } + + public void clear() { + for (int i = 0; i < size; i++) + queue[i] = null; + size = 0; + } + + public MarioState peek() { + if (size == 0) + return null; + return queue[0]; + } + + public MarioState poll() { + if (size == 0) + return null; + int s = --size; + MarioState result = queue[0]; + MarioState x = queue[s]; + queue[s] = null; + if (s != 0) + siftDown(0, x); + return result; + } + + public void drop() { + Arrays.sort(queue, 0, size, comparator); + int l = size >> 1; + for (int i = 0; i < l; ++i) + queue[--size] = null; + for (int i = (size >>> 1) - 1; i >= 0; i--) + siftDown(i, queue[i]); + } + + private void siftUp(int k, MarioState x) { + while (k > 0) { + int parent = (k - 1) >>> 1; + MarioState e = queue[parent]; + if (compare(x, e) >= 0) + break; + queue[k] = e; + k = parent; + } + queue[k] = x; + } + + private void siftDown(int k, MarioState x) { + int half = size >>> 1; + while (k < half) { + int child = (k << 1) + 1; + MarioState c = queue[child]; + int right = child + 1; + if (right < size && compare(c, queue[right]) > 0) + c = queue[child = right]; + if (compare(x, c) <= 0) + break; + queue[k] = c; + k = child; + } + queue[k] = x; + } + + private int compare(MarioState a, MarioState b) { + if (a.cost < b.cost) + return -1; + if (a.cost > b.cost) + return 1; + return 0; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Sensors.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Sensors.java new file mode 100644 index 00000000..02b1eebd --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Sensors.java @@ -0,0 +1,107 @@ +package agents.andySloane; + +import engine.core.MarioForwardModel; +import engine.core.MarioGame; + +public class Sensors { + private String[][] asciiScene; + public int[][] levelScene; + public int[][] enemiesScene; + public int fireballsOnScreen; + + public void updateReadings(MarioForwardModel model) { + levelScene = model.getMarioSceneObservation(); + enemiesScene = model.getMarioEnemiesObservation(); + + asciiScene = new String[MarioGame.tileWidth][MarioGame.tileHeight]; + + fireballsOnScreen = 0; + for (int x = 0; x < levelScene.length; ++x) + for (int y = 0; y < levelScene[0].length; ++y) + asciiScene[x][y] = asciiLevel(levelScene[x][y]); + for (int x = 0; x < enemiesScene.length; ++x) + for (int y = 0; y < enemiesScene[0].length; ++y) { + int enemy = enemiesScene[x][y]; + if (enemy == MarioForwardModel.OBS_NONE) + continue; + if (enemy == MarioForwardModel.OBS_FIREBALL) + fireballsOnScreen++; + asciiScene[x][y] = asciiEnemy(enemy); + } + } + + public int[] getMarioPosition() { + return new int[]{8, 8}; + } + + public String toString() { + StringBuilder sb = new StringBuilder(); + for (String[] sceneRow : asciiScene) { + for (String square : sceneRow) + sb.append(square + " "); + sb.append('\n'); + } + return sb.toString(); + } + + public final static int EMPTY = 0; + public final static int COIN = 31; + public final static int SOLID = 17; + public final static int PLATFORM = 59; + public final static int QUESTIONMARK_BOX = 24; + public final static int BRICK = 23; + + private String asciiLevel(int levelSquare) { + switch (levelSquare) { + case EMPTY: + return " "; + case COIN: + return "O"; + case SOLID: + return "X"; + case PLATFORM: + return "-"; + case BRICK: + return "B"; + case QUESTIONMARK_BOX: + return "?"; + default: + return "" + levelSquare; + } + } + + private String asciiEnemy(int enemySquare) { + if (enemySquare == MarioForwardModel.OBS_GOOMBA) { + return "G"; + } + if (enemySquare == MarioForwardModel.OBS_RED_KOOPA || enemySquare == MarioForwardModel.OBS_GREEN_KOOPA) { + return "n"; + } + if (enemySquare == MarioForwardModel.OBS_GOOMBA_WINGED || enemySquare == MarioForwardModel.OBS_RED_KOOPA_WINGED || + enemySquare == MarioForwardModel.OBS_GREEN_KOOPA_WINGED) { + return "w"; + } + if (enemySquare == MarioForwardModel.OBS_SHELL) { + return "D"; + } + if (enemySquare == MarioForwardModel.OBS_SPIKY) { + return "^"; + } + if (enemySquare == MarioForwardModel.OBS_SPIKY_WINGED) { + return "W"; + } + if (enemySquare == MarioForwardModel.OBS_BULLET_BILL) { + return "<"; + } + if (enemySquare == MarioForwardModel.OBS_ENEMY_FLOWER) { + return "V"; + } + if (enemySquare == MarioForwardModel.OBS_FIRE_FLOWER) { + return "F"; + } + if (enemySquare == MarioForwardModel.OBS_FIREBALL) { + return "*"; + } + return "" + enemySquare; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/ShellState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/ShellState.java new file mode 100644 index 00000000..b8c68d7c --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/ShellState.java @@ -0,0 +1,260 @@ +package agents.andySloane; + +public class ShellState extends SpriteState { + public boolean carried = false; + public boolean onGround = false; + public boolean flyDeath = false; + + public static final float width = 4; + public static final float height = 12; + + @Override + public final float height() { + return 12; + } + + @Override + public SpriteState clone() { + ShellState e = new ShellState(x, y, false); + e.xa = xa; + e.ya = ya; + e.facing = facing; + e.deadTime = deadTime; + e.carried = carried; + e.onGround = onGround; + e.flyDeath = flyDeath; + return e; + } + + @Override + public final boolean dead() { + return deadTime != 0; + } + + ShellState(float _x, float _y, boolean predicted) { + x = _x; + y = _y; + type = KIND_SHELL; + xa = 0; + ya = predicted ? -5 : -2.25f; + facing = 0; + } + + // returns false iff we should remove the enemy from the list + public boolean move(WorldState ws) { + if (carried) { + ws.checkShellCollide(this); + return false; + } + + if (deadTime > 0) { + deadTime--; + + // wait this is stupid. this function NEVER RETURNS FALSE + if (deadTime == 0) { + deadTime = 1; // keep us marked dead even when the timer goes away + return false; + } + + // we have to keep track of dead enemies so we can keep sync with their position + if (flyDeath) { + x += xa; + y += ya; + ya *= 0.95; + ya += 1; + } + return true; + } + + if (xa > 2) + facing = 1; + else if (xa < -2) + facing = -1; + + if (facing != 0) + ws.checkShellCollide(this); + + if (!move(xa, 0, ws)) + facing = -facing; + + onGround = false; + move(0, ya, ws); + ya *= 0.85f; + xa *= DAMPING_X; + + if (!onGround) + ya += 2; + + return true; + } + + @Override + public void resync(float x, float y, float prev_x, float prev_y) { + this.x = x; + this.y = y; + this.xa = x - prev_x; + facing = this.xa == 0 ? 0 : (this.xa < 0) ? -1 : 1; + this.ya = (y - prev_y) * 0.85f; + if (!onGround) + ya += 2; + } + + // WOO LET'S COPY AND PASTE THIS SOME MORE! + private boolean move(float xa, float ya, WorldState ws) { + while (xa > 8) { + if (!move(8, 0, ws)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0, ws)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8, ws)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8, ws)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0, ws)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0, ws)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya, ws)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya, ws)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya, ws)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya, ws)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya, ws)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya, ws)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya, ws)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya, ws)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya, WorldState ws) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + return ws.isBlocking(x, y, xa, ya); + } + + @Override + public SpriteState stomp(WorldState ws, MarioState ms) { + ShellState e = (ShellState) clone(); + if (facing != 0) { + e.facing = 0; + e.xa = 0; + } else { + e.facing = ms.facing; + } + return e; + } + + @Override + public WorldState collideCheck(WorldState ws, MarioState ms) { + if (deadTime != 0) + return ws; + + float xMarioD = ms.x - x; + float yMarioD = ms.y - y; + float height = this.height(); + if (xMarioD > -width * 2 - 4 && xMarioD < width * 2 + 4) { + if (yMarioD > -height && yMarioD < ms.height()) { + if (!spiky() && ms.ya > 0 && yMarioD <= 0 && (!ms.onGround || !ms.wasOnGround)) { + ws = ws.stomp(this, ms); + } else { + if (facing != 0) + ms.getHurt(); + else { + ws.kick(this); + facing = ms.facing; + } + } + } + } + return ws; + } + + /* + * + * // if shells hit one another, they both go poof public boolean + * shellCollideCheck(ShellState shell) { if (deadTime != 0) return false; + * + * float xD = shell.x - x; float yD = shell.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height() && yD < shell.height) { xa = + * shell.facing * 2; ya = -5; flyDeath = true; deadTime = 100; return true; } } + * return false; } + * + * public SpriteState fireballCollideCheck(SpriteState fireball) { if (deadTime + * != 0) return false; + * + * float xD = fireball.x - x; float yD = fireball.y - y; + * + * if (xD > -16 && xD < 16) { if (yD > -height && yD < 8) { xa = fireball.facing + * * 2; ya = -5; flyDeath = true; deadTime = 100; return true; } } return false; + * } + * + * public SpriteState bumpCheck(int xTile, int yTile, MarioState ms) { if + * (deadTime != 0) return; + * + * if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) + * ((y - 1) / 16)) { xa = -ms.facing * 2; ya = -5; flyDeath = true; deadTime = + * 100; } } + */ + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/SpriteState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/SpriteState.java new file mode 100644 index 00000000..d47fc3c5 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/SpriteState.java @@ -0,0 +1,96 @@ +package agents.andySloane; + +public class SpriteState { + static final float DAMPING_X = 0.89f; + static final float DAMPING_Y = 0.85f; + public int facing = 1; + public int type = -1; + public int deadTime = 0; + public boolean onGround = false; // standing on ground + public float x, y, xa = 0, ya = 0; + + public float height() { + return -1; + } + + public boolean dead() { + return false; + } + + public SpriteState clone() { + return null; + } + + // returns false iff we should remove the enemy from the list + public boolean move(WorldState ws) { + return false; + } + + public WorldState collideCheck(WorldState ws, MarioState ms) { + return ws; + } + + // you may destructively update ws here as it's fresh for the purpose of this + // stomp + public SpriteState stomp(WorldState ws, MarioState ms) { + return this; + } + + public SpriteState shellCollideCheck(ShellState shell) { + return this; + } + + public SpriteState bumpCheck(int xTile, int yTile, MarioState ms) { + return this; + } + + static public SpriteState newEnemy(float x, float y, int type, MarioState ms) { + switch (type) { + case KIND_BULLET_BILL: + return new BulletBillState(x, y, ms); + case KIND_FLOWER_ENEMY: + return new FlowerEnemyState(x, y); + case KIND_MUSHROOM: + return null; + case KIND_SHELL: + return new ShellState(x, y, false); + } + return new EnemyState(x, y, type); + } + + // default resync: dead reckoning + public void resync(float x, float y, float prev_x, float prev_y) { + this.x = x; + this.y = y; + this.xa = x - prev_x; + this.ya = y - prev_y; + } + + // enemy kinds + public static final int KIND_GOOMBA = 2; + public static final int KIND_GOOMBA_WINGED = 3; + public static final int KIND_RED_KOOPA = 4; + public static final int KIND_RED_KOOPA_WINGED = 5; + public static final int KIND_GREEN_KOOPA = 6; + public static final int KIND_GREEN_KOOPA_WINGED = 7; + public static final int KIND_BULLET_BILL = 8; + public static final int KIND_SPIKY = 9; + public static final int KIND_SPIKY_WINGED = 10; + public static final int KIND_ENEMY_FLOWER = 11; + public static final int KIND_FLOWER_ENEMY = 12; + + // not actually enemies + public static final int KIND_SHELL = 13; + public static final int KIND_MUSHROOM = 14; + + // and we won't see any of these + public static final int KIND_FIRE_FLOWER = 15; + public static final int KIND_PARTICLE = 21; + public static final int KIND_SPARCLE = 22; + public static final int KIND_COIN_ANIM = 20; + public static final int KIND_FIREBALL = 25; + + public boolean spiky() { + return type >= KIND_SPIKY && type <= KIND_FLOWER_ENEMY; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Tunables.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Tunables.java new file mode 100644 index 00000000..e3af08b1 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/Tunables.java @@ -0,0 +1,14 @@ +package agents.andySloane; + +public class Tunables { + public static float FactorA = 1f; + public static float FactorB = 1f; + public static float FactorC = 1f; + public static float GIncrement = 1f; + public static float DeadCost = 100000f; + public static float FeetOnTheGroundBonus = 0f; + public static int MaxBreadth = 60; + public static float HurtCost = 5f; + + public static float PathFound = 0; +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/WorldState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/WorldState.java new file mode 100644 index 00000000..b87252f6 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/andySloane/WorldState.java @@ -0,0 +1,322 @@ +package agents.andySloane; + +import java.util.HashMap; +import java.util.Vector; + +public final class WorldState { + public int[][] map; + public int[] heightmap; + public int MapX, MapY; + + // List of currently known enemies; maintained sorted by x coordinate + public Vector enemies, addqueue; + + WorldState pred = null; + HashMap succ; // successor map + + // hash key comparator + private class WSHashKey { + static final int MOD_NONE = 0; + static final int MOD_REMOVETILE = 1; + static final int MOD_STOMP = 2; + public int modType = MOD_NONE; + public int modTile = 0; + public SpriteState modEnemy = null; + + WSHashKey() { + modType = MOD_NONE; + } + + WSHashKey(int _modTile) { + modType = MOD_REMOVETILE; + modTile = _modTile; + } + + @Override + public int hashCode() { + switch (modType) { + case MOD_NONE: + return 0; + case MOD_REMOVETILE: + return 1 + modTile * 4; + case MOD_STOMP: + return 2 + modEnemy.hashCode() * 4; + } + return -1; + } + + @Override + public boolean equals(Object _o) { + WSHashKey o = (WSHashKey) _o; + if (o.modType != modType) + return false; + if (o.modTile != modTile) + return false; + return o.modEnemy == modEnemy; + } + } + + public WorldState(int[][] _map, MarioState ms, float[] enemyPosition) { + map = _map; + MapX = (int) ms.x / 16 - 8; + MapY = (int) ms.y / 16 - 8; + succ = new HashMap(); + enemies = new Vector(); + buildHeightMap(); + syncEnemies(this, enemyPosition, ms); + } + + WorldState() { + } + + public WorldState clone() { + WorldState w = new WorldState(); + w.map = map; + w.MapX = MapX; + w.MapY = MapY; + w.heightmap = heightmap; + w.succ = new HashMap(); + w.enemies = enemies; // share enemies vector by default + w.addqueue = addqueue; + return w; + } + + // nondestructive step + @SuppressWarnings("unchecked") + public WorldState step() { + WSHashKey h = new WSHashKey(); + WorldState s = succ.get(h); + if (s == null) { + s = clone(); + s.enemies = (Vector) enemies.clone(); + s.stepEnemies(); + succ.put(h, s); + } + return s; + } + + // destructive update, but returns new worldstate. bleh, it's a mess. + public void sync(WorldState prevws, int[][] _map, MarioState ms, float[] enemyPosition) { + map = _map; + MapX = (int) ms.x / 16 - 8; + MapY = (int) ms.y / 16 - 8; + buildHeightMap(); + succ.clear(); + syncEnemies(prevws, enemyPosition, ms); + } + + void buildHeightMap() { + heightmap = new int[16]; + // System.out.printf("heightmap: "); + for (int i = 0; i < 16; i++) { + int j; + for (j = 15; j >= 0; j--) // find the first block from the bottom + if (map[j][i] != 0) + break; + if (j < 0 || j + MapY < 8) { // this is probably a ceiling + heightmap[i] = 22; + } else { + for (; j >= 0; j--) + if (map[j][i] == 0 || map[j][i] == 1) + break; // 1 is mario, 0 is blank + heightmap[i] = j + 1; + } + // System.out.printf("%02d ", heightmap[i]); + } + // System.out.printf("\n"); + } + + ////////////////////////////////////////////// + // destructive operations + void _removeTile(WSHashKey h, int x, int y) { + int[][] newmap = new int[16][16]; + for (int j = 0; j < 16; j++) + for (int i = 0; i < 16; i++) + newmap[i][j] = map[i][j]; + newmap[x][y] = 0; + map = newmap; + } + + private static class EnemyObservation implements Comparable { + int type; + float x, y; + + EnemyObservation(int type, float x, float y) { + this.type = type; + this.x = x; + this.y = y; + } + + public int compareTo(EnemyObservation b) { + return x < b.x ? -1 : x > b.x ? 1 : 0; + } + } + + // this function is terrible and slow, but it only needs to be done once per + // real frame. + public void syncEnemies(WorldState prevws, float[] enemyObs, MarioState ms) { + // when we get a new observation, sort the observation by x and filter + // through the list, using the nearest enemy of the same type and comparing + // predicted states with actual + EnemyObservation[] obs = new EnemyObservation[enemyObs.length / 3]; + for (int i = 0; i < enemyObs.length; i += 3) + obs[i / 3] = new EnemyObservation((int) enemyObs[i], enemyObs[i + 1], enemyObs[i + 2]); + + Vector newenemies = new Vector(enemies.size() + 2); + Vector oldenemies = prevws.enemies; + + // merge enemy observations into our internal enemy array + for (EnemyObservation eobs : obs) { + SpriteState closest = null; + float closestdist = Float.POSITIVE_INFINITY; + int closest_idx = 0; + for (int i = 0; i < enemies.size(); i++) { + SpriteState s = enemies.get(i); + if (s.type != eobs.type) + continue; + float ex = s.x - eobs.x; + float ey = s.y - eobs.y; + float dist = ex * ex + ey * ey; + if (closest == null || dist < closestdist) { + closest = s; + closestdist = dist; + closest_idx = i; + } + } + if (closest == null || closestdist > 64) { // allow a slop of 8 pixels + // assume new enemy + closest = SpriteState.newEnemy(eobs.x, eobs.y, eobs.type, ms); + } else { + if (closestdist != 0) { + if (closest_idx >= oldenemies.size()) { + // if this was newly created but incorrectly i guess we + // have to force a recreation + closest = SpriteState.newEnemy(eobs.x, eobs.y, eobs.type, ms); + } else { + SpriteState prev = oldenemies.get(closest_idx); + closest.resync(eobs.x, eobs.y, prev.x, prev.y); + } + } + } + if (closest != null) + newenemies.add(closest); + } + enemies = newenemies; + } + + public void stepEnemies() { + for (int i = 0; i < enemies.size(); i++) { + SpriteState e = enemies.get(i).clone(); + boolean keep = e.move(this); + if (keep) { + enemies.set(i, e); + } else { + enemies.remove(i); + i--; + } + } + } + + // interact with mario after everyone does their move step + // destructively updates MarioState, but non-destructively returns updated + // WorldState + public WorldState interact(MarioState ms, boolean verbose) { + WorldState ws = this; + ws.addqueue = new Vector(); + int i; + if (verbose) + System.out.printf("--interact\n"); + for (i = 0; i < ws.enemies.size(); i++) { + ws = ws.enemies.get(i).collideCheck(ws, ms); + } + // now bring in the added stuff + for (SpriteState s : ws.addqueue) { + if (verbose) { + System.out.printf("interact: new e t=%d xy=%f,%f xaya=%f,%f deadTime=%d\n", s.type, s.x, s.y, s.xa, + s.ya, s.deadTime); + } + ws.enemies.add(s); + } + ws.addqueue = null; + return ws; + } + + public void addShell(float x, float y) { + ShellState s = new ShellState(x, y, true); + s.move(this); + addqueue.add(s); + } + + ////////////////////////////////////////////// + // functional operations + WorldState removeTile(int x, int y) { + x -= MapX; + y -= MapY; + if (x < 0 || x >= 16 || y < 0 || y >= 16) + return this; + + WSHashKey h = new WSHashKey(x * 16 + y); + WorldState s = succ.get(h); + if (s == null) { + s = clone(); + s._removeTile(h, x, y); + succ.put(h, s); + } + return s; + } + + final int getBlock(int x, int y) { + // move x,y world coordinates to the 22x22 reference frame + x -= MapX; + y -= MapY; + if (x < 0 || x >= 16 || y < 0 || y >= 16) + return 0; + + return map[x][y]; + } + + final boolean isBlocking(int x, int y, float xa, float ya) { + int block = getBlock(x, y); + + if (block == 1) + return false; // mario; ignore + if (block == 34) + return false; // coin + if (block == -11) + return ya > 0; // platform + return block != 0; + } + + @SuppressWarnings({"rawtypes", "unchecked"}) + final WorldState stomp(SpriteState e, MarioState ms) { + // destructively modify mario + ms.stomp(e); + // clone us, and clone e, and splice e in the array + WorldState ws = clone(); + ws.enemies = (Vector) enemies.clone(); + ws.enemies.set(ws.enemies.indexOf(e), e.stomp(this, ms)); + return ws; + } + + final WorldState bump(int x, int y, boolean big) { + // System.out.printf("bumping tile @%d,%d = %d\n", x,y,getBlock(x,y)); + if (big) { + switch (getBlock(x, y)) { + case 16: // regular brick + // unfortunately it could also be a hidden coin or + // something else + return removeTile(x, y); + } + } + return this; + } + + // this is destructive, done during interact(), unlike bump and stomp + // (which are mario-initiated actions) + final void checkShellCollide(ShellState s) { + + } + + final void kick(ShellState s) { + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/doNothing/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/doNothing/Agent.java new file mode 100644 index 00000000..07e20043 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/doNothing/Agent.java @@ -0,0 +1,23 @@ +package agents.doNothing; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public class Agent implements MarioAgent { + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + return new boolean[MarioActions.numberOfActions()]; + } + + @Override + public String getAgentName() { + return "DoNothingAgent"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/glennHartmann/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/glennHartmann/Agent.java new file mode 100644 index 00000000..5071a9c7 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/glennHartmann/Agent.java @@ -0,0 +1,158 @@ +package agents.glennHartmann; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public class Agent implements MarioAgent { + private boolean[] action = new boolean[MarioActions.numberOfActions()]; + private int jumpCount = 0; // counter to determine if you've done a 'full' jump yet + private int speedCount = 0; // counter to determine if you should shoot again + + // determines if jumping will cause you to hit an enemy or not + private boolean safeToJumpFromEnemies(byte[][] enemiesFromBitmap) { + for (int y = 5; y <= 9; y++) { + for (int x = 11; x <= 14; x++) { + if (!(x == 8 && y == 8) && enemiesFromBitmap[x][y] == 1) { + return false; + } + } + } + + return true; + } + + // determines if jumping will land you in a gap + private boolean safeToJumpFromGaps(byte[][] levelSceneFromBitmap) { + for (int y = 9; y <= 9; y++) { + boolean b = false; + for (int x = 11; x <= 14; x++) { + if (levelSceneFromBitmap[x][y] == 1) { + b = true; + break; + } + } + if (!b) { + return false; + } + } + + return true; + } + + // determines if there are enemies close enough to pose a danger to you - + // implies you should jump + private boolean dangerFromEnemies(byte[][] enemiesFromBitmap) { + for (int y = 7; y <= 9; y++) { + for (int x = 8; x <= 12; x++) { + if (!(x == 8 && y == 8) && enemiesFromBitmap[x][y] == 1) { + return true; + } + } + } + + return false; + } + + // determines if there is a gap close enough to pose a danger to you - implies + // you should jump + private boolean dangerFromGaps(byte[][] levelSceneFromBitmap) { + for (int y = 9; y <= 10; y++) { + for (int x = 9; x <= 12; x++) { + if (levelSceneFromBitmap[x][y] == 0) { + return true; + } + } + } + + return false; + } + + // determines if it's safe to jump + private boolean safeToJump(byte[][] levelSceneFromBitmap, byte[][] enemiesFromBitmap) { + return safeToJumpFromGaps(levelSceneFromBitmap) && safeToJumpFromEnemies(enemiesFromBitmap); + } + + // determines if there is something blocking your path that you need to jump + // over + private boolean block(byte[][] levelSceneFromBitmap) { + for (int y = 8; y <= 8; y++) { + for (int x = 9; x <= 12; x++) { + if (levelSceneFromBitmap[x][y] == 1) { + return true; + } + } + } + + return false; + } + + // function from ForwardAgent.java - I did not write this + private byte[][] decode(MarioForwardModel model, int[][] state) { + byte[][] dstate = new byte[model.obsGridWidth][model.obsGridHeight]; + for (int i = 0; i < dstate.length; ++i) + for (int j = 0; j < dstate[0].length; ++j) + dstate[i][j] = 2; + + for (int x = 0; x < state.length; x++) { + for (int y = 0; y < state[x].length; y++) { + if (state[x][y] != 0) { + dstate[x][y] = 1; + } else { + dstate[x][y] = 0; + } + } + } + return dstate; + } + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + action = new boolean[MarioActions.numberOfActions()]; + action[MarioActions.RIGHT.getValue()] = true; + action[MarioActions.SPEED.getValue()] = true; + action[MarioActions.JUMP.getValue()] = false; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + byte[][] levelSceneFromBitmap = decode(model, model.getMarioSceneObservation()); // map of the scene + byte[][] enemiesFromBitmap = decode(model, model.getMarioEnemiesObservation()); // map of enemies + + // if jump is active and jumpCount is too big, deactivate - jump is over and + // you'll need to get ready for next one + if (action[MarioActions.JUMP.getValue()] && jumpCount >= 8) { + action[MarioActions.JUMP.getValue()] = false; + jumpCount = 0; + } + // otherwise you're in the middle of jump, increment jumpCount + else if (action[MarioActions.JUMP.getValue()]) { + jumpCount++; + } + // now, if you're in danger from enemies, or blocked by landscape, jump if it's + // safe to. If there's danger of falling, jump no matter what + else if ((((dangerFromEnemies(enemiesFromBitmap) || block(levelSceneFromBitmap)) + && safeToJump(levelSceneFromBitmap, enemiesFromBitmap)) || dangerFromGaps(levelSceneFromBitmap)) + && model.mayMarioJump()) { + action[MarioActions.JUMP.getValue()] = true; + } + + // keep shooting + if (action[MarioActions.SPEED.getValue()] && speedCount >= 10) { + action[MarioActions.SPEED.getValue()] = false; + speedCount = 0; + } else if (action[MarioActions.SPEED.getValue()]) { + speedCount++; + } else { + action[MarioActions.SPEED.getValue()] = true; + } + + return action; + } + + @Override + public String getAgentName() { + return "GlennHartmannAgent"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/human/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/human/Agent.java new file mode 100644 index 00000000..b888366b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/human/Agent.java @@ -0,0 +1,62 @@ +package agents.human; + +import java.awt.event.KeyAdapter; +import java.awt.event.KeyEvent; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public class Agent extends KeyAdapter implements MarioAgent { + private boolean[] actions = null; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + actions = new boolean[MarioActions.numberOfActions()]; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + return actions; + } + + @Override + public String getAgentName() { + return "HumanAgent"; + } + + @Override + public void keyPressed(KeyEvent e) { + toggleKey(e.getKeyCode(), true); + } + + @Override + public void keyReleased(KeyEvent e) { + toggleKey(e.getKeyCode(), false); + } + + private void toggleKey(int keyCode, boolean isPressed) { + if (this.actions == null) { + return; + } + switch (keyCode) { + case KeyEvent.VK_LEFT: + this.actions[MarioActions.LEFT.getValue()] = isPressed; + break; + case KeyEvent.VK_RIGHT: + this.actions[MarioActions.RIGHT.getValue()] = isPressed; + break; + case KeyEvent.VK_DOWN: + this.actions[MarioActions.DOWN.getValue()] = isPressed; + break; + case KeyEvent.VK_S: + this.actions[MarioActions.JUMP.getValue()] = isPressed; + break; + case KeyEvent.VK_A: + this.actions[MarioActions.SPEED.getValue()] = isPressed; + break; + } + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/michal/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/michal/Agent.java new file mode 100644 index 00000000..da33a144 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/michal/Agent.java @@ -0,0 +1,159 @@ +package agents.michal; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public class Agent implements MarioAgent { + private enum STATE { + WALK_FORWARD, WALK_BACKWARD, JUMP, JUMP_HOLE + } + + private boolean facing_left; + private int leftCounter; + private int shootCounter; + private STATE state; + private boolean[] action; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + action = new boolean[MarioActions.numberOfActions()]; + state = STATE.WALK_FORWARD; + facing_left = false; + + leftCounter = 0; + shootCounter = 0; + } + + private int getLocation(int relX, int relY, int[][] scene) { + int realX = 8 + relX; + int realY = 8 + relY; + + return scene[realX][realY]; + } + + private boolean thereIsObstacle(int[][] scene) { + int[] inFrontOf = new int[]{getLocation(1, 0, scene), getLocation(2, 0, scene), getLocation(2, -1, scene)}; + + for (int i = 0; i < inFrontOf.length; i++) { + if (inFrontOf[i] == 17 || inFrontOf[i] == 23 || inFrontOf[i] == 24) { + return true; + } + } + + return false; + } + + private boolean thereIsHole(int[][] scene) { + for (int i = 1; i < 3; i++) { + for (int j = 2; j < 8; j++) { + if (getLocation(i, j, scene) != 0) { + return false; + } + } + } + + return true; + } + + private boolean enemyInFront(int[][] enemies) { + for (int i = 0; i > -2; i--) { + for (int j = 1; j < 2; j++) { + if (getLocation(j, i, enemies) > 1) { + return true; + } + } + } + return false; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + int[][] scene = model.getMarioSceneObservation(); + int[][] enemies = model.getMarioEnemiesObservation(); + + if (enemyInFront(enemies)) { + if (shootCounter > 0) { + action[MarioActions.SPEED.getValue()] = false; + } else { + action[MarioActions.SPEED.getValue()] = true; + shootCounter++; + } + return action; + } else if (shootCounter > 0) { + shootCounter = 0; + } + + switch (state) { + case WALK_BACKWARD: + if (leftCounter > 5) { + state = STATE.WALK_FORWARD; + facing_left = false; + } + leftCounter++; + action[MarioActions.LEFT.getValue()] = true; + action[MarioActions.RIGHT.getValue()] = false; + + break; + + case WALK_FORWARD: + action[MarioActions.LEFT.getValue()] = false; + if (thereIsHole(scene)) { + state = STATE.JUMP_HOLE; + action[MarioActions.JUMP.getValue()] = true; + action[MarioActions.SPEED.getValue()] = true; + } else if (thereIsObstacle(scene)) { + state = STATE.JUMP; + action[MarioActions.JUMP.getValue()] = true; + action[MarioActions.RIGHT.getValue()] = true; + action[MarioActions.SPEED.getValue()] = false; + } else { + action[MarioActions.RIGHT.getValue()] = true; + action[MarioActions.SPEED.getValue()] = false; + } + break; + + case JUMP: + if (action[MarioActions.RIGHT.getValue()] && thereIsHole(scene)) { + action[MarioActions.RIGHT.getValue()] = false; + action[MarioActions.LEFT.getValue()] = true; + + facing_left = true; + } else if (model.isMarioOnGround()) { + if (facing_left) { + state = STATE.WALK_BACKWARD; + leftCounter = 0; + } else { + state = STATE.WALK_FORWARD; + } + + action[MarioActions.LEFT.getValue()] = false; + action[MarioActions.RIGHT.getValue()] = false; + + action[MarioActions.JUMP.getValue()] = false; + action[MarioActions.SPEED.getValue()] = false; + } + break; + + case JUMP_HOLE: + if (model.isMarioOnGround()) { + state = STATE.WALK_FORWARD; + + action[MarioActions.JUMP.getValue()] = false; + action[MarioActions.SPEED.getValue()] = false; + + action[MarioActions.LEFT.getValue()] = false; + action[MarioActions.RIGHT.getValue()] = false; + } + break; + } + + return action; + } + + @Override + public String getAgentName() { + return "MichalAgent"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/random/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/random/Agent.java new file mode 100644 index 00000000..1447c6c6 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/random/Agent.java @@ -0,0 +1,66 @@ +package agents.random; + +import java.util.ArrayList; +import java.util.Random; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; + +public class Agent implements MarioAgent { + private Random rnd; + private ArrayList choices; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + rnd = new Random(); + choices = new ArrayList<>(); + //right run + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + choices.add(new boolean[]{false, true, false, true, false}); + //right jump and run + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + choices.add(new boolean[]{false, true, false, true, true}); + // right + choices.add(new boolean[]{false, true, false, false, false}); + choices.add(new boolean[]{false, true, false, false, false}); + choices.add(new boolean[]{false, true, false, false, false}); + choices.add(new boolean[]{false, true, false, false, false}); + // right jump + choices.add(new boolean[]{false, true, false, false, true}); + choices.add(new boolean[]{false, true, false, false, true}); + choices.add(new boolean[]{false, true, false, false, true}); + choices.add(new boolean[]{false, true, false, false, true}); + //left + choices.add(new boolean[]{true, false, false, false, false}); + //left run + choices.add(new boolean[]{true, false, false, true, false}); + //left jump + choices.add(new boolean[]{true, false, false, false, true}); + //left jump and run + choices.add(new boolean[]{true, false, false, true, true}); + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + return choices.get(rnd.nextInt(choices.size())); + } + + @Override + public String getAgentName() { + return "RandomAgent"; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/AStarTree.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/AStarTree.java new file mode 100644 index 00000000..dedcc770 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/AStarTree.java @@ -0,0 +1,165 @@ +package agents.robinBaumgarten; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.GameStatus; + +public class AStarTree { + public SearchNode bestPosition; + public SearchNode furthestPosition; + float currentSearchStartingMarioXPos; + ArrayList posPool; + ArrayList visitedStates = new ArrayList(); + private boolean requireReplanning = false; + + private ArrayList currentActionPlan; + int ticksBeforeReplanning = 0; + + private MarioForwardModel search(MarioTimer timer) { + SearchNode current = bestPosition; + boolean currentGood = false; + int maxRight = 176; + while (posPool.size() != 0 + && ((bestPosition.sceneSnapshot.getMarioFloatPos()[0] - currentSearchStartingMarioXPos < maxRight) || !currentGood) + && timer.getRemainingTime() > 0) { + current = pickBestPos(posPool); + if (current == null) { + return null; + } + currentGood = false; + float realRemainingTime = current.simulatePos(); + + if (realRemainingTime < 0) { + continue; + } else if (!current.isInVisitedList && isInVisited((int) current.sceneSnapshot.getMarioFloatPos()[0], + (int) current.sceneSnapshot.getMarioFloatPos()[1], current.timeElapsed)) { + realRemainingTime += Helper.visitedListPenalty; + current.isInVisitedList = true; + current.remainingTime = realRemainingTime; + current.remainingTimeEstimated = realRemainingTime; + posPool.add(current); + } else if (realRemainingTime - current.remainingTimeEstimated > 0.1) { + // current item is not as good as anticipated. put it back in pool and look for best again + current.remainingTimeEstimated = realRemainingTime; + posPool.add(current); + } else { + currentGood = true; + visited((int) current.sceneSnapshot.getMarioFloatPos()[0], (int) current.sceneSnapshot.getMarioFloatPos()[1], current.timeElapsed); + posPool.addAll(current.generateChildren()); + } + if (currentGood) { + if (bestPosition.getRemainingTime() > current.getRemainingTime()) + bestPosition = current; + if (current.sceneSnapshot.getMarioFloatPos()[0] > furthestPosition.sceneSnapshot.getMarioFloatPos()[0]) + furthestPosition = current; + } + } + if (current.sceneSnapshot.getMarioFloatPos()[0] - currentSearchStartingMarioXPos < maxRight + && furthestPosition.sceneSnapshot.getMarioFloatPos()[0] > bestPosition.sceneSnapshot.getMarioFloatPos()[0] + 20) + // Couldnt plan till end of screen, take furthest + bestPosition = furthestPosition; + + return current.sceneSnapshot; + } + + private void startSearch(MarioForwardModel model, int repetitions) { + SearchNode startPos = new SearchNode(null, repetitions, null); + startPos.initializeRoot(model); + + posPool = new ArrayList(); + visitedStates.clear(); + posPool.addAll(startPos.generateChildren()); + currentSearchStartingMarioXPos = model.getMarioFloatPos()[0]; + + bestPosition = startPos; + furthestPosition = startPos; + } + + private ArrayList extractPlan() { + ArrayList actions = new ArrayList(); + + // just move forward if no best position exists + if (bestPosition == null) { + for (int i = 0; i < 10; i++) { + actions.add(Helper.createAction(false, true, false, false, true)); + } + return actions; + } + + SearchNode current = bestPosition; + while (current.parentPos != null) { + for (int i = 0; i < current.repetitions; i++) + actions.add(0, current.action); + if (current.hasBeenHurt) { + requireReplanning = true; + } + current = current.parentPos; + } + return actions; + } + + private SearchNode pickBestPos(ArrayList posPool) { + SearchNode bestPos = null; + float bestPosCost = 10000000; + for (SearchNode current : posPool) { + float currentCost = current.getRemainingTime() + current.timeElapsed * 0.90f; // slightly bias towards furthest positions + if (currentCost < bestPosCost) { + bestPos = current; + bestPosCost = currentCost; + } + } + posPool.remove(bestPos); + return bestPos; + } + + public boolean[] optimise(MarioForwardModel model, MarioTimer timer) { + int planAhead = 2; + int stepsPerSearch = 2; + + MarioForwardModel originalModel = model.clone(); + ticksBeforeReplanning--; + requireReplanning = false; + if (ticksBeforeReplanning <= 0 || currentActionPlan.size() == 0 || requireReplanning) { + currentActionPlan = extractPlan(); + if (currentActionPlan.size() < planAhead) { + planAhead = currentActionPlan.size(); + } + + // simulate ahead to predicted future state, and then plan for this future state + for (int i = 0; i < planAhead; i++) { + model.advance(currentActionPlan.get(i)); + } + startSearch(model, stepsPerSearch); + ticksBeforeReplanning = planAhead; + } + if (model.getGameStatus() == GameStatus.LOSE) { + startSearch(originalModel, stepsPerSearch); + } + search(timer); + + boolean[] action = new boolean[5]; + if (currentActionPlan.size() > 0) + action = currentActionPlan.remove(0); + return action; + } + + private void visited(int x, int y, int t) { + visitedStates.add(new int[]{x, y, t}); + } + + private boolean isInVisited(int x, int y, int t) { + int timeDiff = 5; + int xDiff = 2; + int yDiff = 2; + for (int[] v : visitedStates) { + if (Math.abs(v[0] - x) < xDiff && Math.abs(v[1] - y) < yDiff && Math.abs(v[2] - t) < timeDiff + && t >= v[2]) { + return true; + } + } + return false; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Agent.java new file mode 100644 index 00000000..fb7fc2dc --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Agent.java @@ -0,0 +1,32 @@ +package agents.robinBaumgarten; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +/** + * @author RobinBaumgarten + */ +public class Agent implements MarioAgent { + private boolean[] action; + private AStarTree tree; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + this.action = new boolean[MarioActions.numberOfActions()]; + this.tree = new AStarTree(); + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + action = this.tree.optimise(model, timer); + return action; + } + + @Override + public String getAgentName() { + return "RobinBaumgartenAgent"; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Helper.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Helper.java new file mode 100644 index 00000000..06df7c74 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/Helper.java @@ -0,0 +1,107 @@ +package agents.robinBaumgarten; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; +import engine.helper.GameStatus; +import engine.helper.MarioActions; + +public class Helper { + public static final int visitedListPenalty = 1500; + public static final float maxMarioSpeed = 10.9090909f; + + public static int getMarioDamage(MarioForwardModel model, MarioForwardModel prevModel) { + int damage = 0; + if (prevModel.getMarioMode() > model.getMarioMode()) { + damage += 1; + } + if (model.getGameStatus() == GameStatus.LOSE) { + if (model.getMarioFloatPos()[1] > model.getLevelFloatDimensions()[1] - 20) { + damage += 5; + } else { + damage += 2; + } + } + return damage; + } + + public static String getActionString(boolean[] action) { + String s = ""; + if (action[MarioActions.RIGHT.getValue()]) + s += "Forward "; + if (action[MarioActions.LEFT.getValue()]) + s += "Backward "; + if (action[MarioActions.SPEED.getValue()]) + s += "Speed "; + if (action[MarioActions.JUMP.getValue()]) + s += "Jump "; + if (action[MarioActions.DOWN.getValue()]) + s += "Duck"; + if (s.length() == 0) { + s = "[NONE]"; + } + return s; + } + + public static float[] estimateMaximumForwardMovement(float currentAccel, boolean[] action, int ticks) { + float dist = 0; + float runningSpeed = action[MarioActions.SPEED.getValue()] ? 1.2f : 0.6f; + int dir = 0; + if (action[MarioActions.LEFT.getValue()]) + dir = -1; + if (action[MarioActions.RIGHT.getValue()]) + dir = 1; + for (int i = 0; i < ticks; i++) { + currentAccel += runningSpeed * dir; + dist += currentAccel; + currentAccel *= 0.89f; + } + float[] ret = new float[2]; + ret[0] = dist; + ret[1] = currentAccel; + return ret; + } + + public static boolean[] createAction(boolean left, boolean right, boolean down, boolean jump, boolean speed) { + boolean[] action = new boolean[5]; + action[MarioActions.DOWN.getValue()] = down; + action[MarioActions.JUMP.getValue()] = jump; + action[MarioActions.LEFT.getValue()] = left; + action[MarioActions.RIGHT.getValue()] = right; + action[MarioActions.SPEED.getValue()] = speed; + return action; + } + + public static boolean canJumpHigher(SearchNode node, boolean checkParent) { + if (node.parentPos != null && checkParent && canJumpHigher(node.parentPos, false)) + return true; + return node.sceneSnapshot.mayMarioJump() || node.sceneSnapshot.getMarioCanJumpHigher(); + } + + public static ArrayList createPossibleActions(SearchNode node) { + ArrayList possibleActions = new ArrayList(); + // jump + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(false, false, false, true, false)); + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(false, false, false, true, true)); + + // run right + possibleActions.add(Helper.createAction(false, true, false, false, true)); + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(false, true, false, true, true)); + possibleActions.add(Helper.createAction(false, true, false, false, false)); + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(false, true, false, true, false)); + + // run left + possibleActions.add(Helper.createAction(true, false, false, false, false)); + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(true, false, false, true, false)); + possibleActions.add(Helper.createAction(true, false, false, false, true)); + if (canJumpHigher(node, true)) + possibleActions.add(Helper.createAction(true, false, false, true, true)); + + return possibleActions; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/SearchNode.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/SearchNode.java new file mode 100644 index 00000000..8ccfeec5 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/robinBaumgarten/SearchNode.java @@ -0,0 +1,103 @@ +package agents.robinBaumgarten; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; +import engine.helper.GameStatus; + +public class SearchNode { + public int timeElapsed = 0; + public float remainingTimeEstimated = 0; + public float remainingTime = 0; + + public SearchNode parentPos = null; + public MarioForwardModel sceneSnapshot = null; + public int distanceFromOrigin = 0; + public boolean hasBeenHurt = false; + public boolean isInVisitedList = false; + + boolean[] action; + int repetitions = 1; + + public float calcRemainingTime(float marioX, float marioXA) { + return (100000 - (maxForwardMovement(marioXA, 1000) + marioX)) / Helper.maxMarioSpeed - 1000; + } + + public float getRemainingTime() { + if (remainingTime > 0) + return remainingTime; + else + return remainingTimeEstimated; + } + + public float estimateRemainingTimeChild(boolean[] action, int repetitions) { + float[] childbehaviorDistanceAndSpeed = Helper.estimateMaximumForwardMovement( + this.sceneSnapshot.getMarioFloatVelocity()[0], action, repetitions); + return calcRemainingTime(this.sceneSnapshot.getMarioFloatPos()[0] + childbehaviorDistanceAndSpeed[0], + childbehaviorDistanceAndSpeed[1]); + } + + public SearchNode(boolean[] action, int repetitions, SearchNode parent) { + this.parentPos = parent; + if (parent != null) { + this.remainingTimeEstimated = parent.estimateRemainingTimeChild(action, repetitions); + this.distanceFromOrigin = parent.distanceFromOrigin + 1; + } + this.action = action; + this.repetitions = repetitions; + if (parent != null) + timeElapsed = parent.timeElapsed + repetitions; + else + timeElapsed = 0; + } + + public void initializeRoot(MarioForwardModel model) { + if (this.parentPos == null) { + this.sceneSnapshot = model.clone(); + this.remainingTimeEstimated = calcRemainingTime(model.getMarioFloatPos()[0], 0); + } + } + + public float simulatePos() { + this.sceneSnapshot = parentPos.sceneSnapshot.clone(); + for (int i = 0; i < repetitions; i++) { + this.sceneSnapshot.advance(action); + } + int marioDamage = Helper.getMarioDamage(this.sceneSnapshot, this.parentPos.sceneSnapshot); + remainingTime = + calcRemainingTime(this.sceneSnapshot.getMarioFloatPos()[0], this.sceneSnapshot.getMarioFloatVelocity()[0]) + + marioDamage * (1000000 - 100 * distanceFromOrigin); + if (isInVisitedList) + remainingTime += Helper.visitedListPenalty; + hasBeenHurt = marioDamage != 0; + + return remainingTime; + } + + public ArrayList generateChildren() { + ArrayList list = new ArrayList(); + ArrayList possibleActions = Helper.createPossibleActions(this); + if (this.isLeafNode()) { + possibleActions.clear(); + } + for (boolean[] action : possibleActions) { + list.add(new SearchNode(action, repetitions, this)); + } + return list; + } + + public boolean isLeafNode() { + if (this.sceneSnapshot == null) { + return false; + } + return this.sceneSnapshot.getGameStatus() != GameStatus.RUNNING; + } + + private float maxForwardMovement(float initialSpeed, int ticks) { + float y = ticks; + float s0 = initialSpeed; + return (float) (99.17355373 * Math.pow(0.89, y + 1) - 9.090909091 * s0 * Math.pow(0.89, y + 1) + 10.90909091 * y + - 88.26446282 + 9.090909091 * s0); + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyKarakovskiy/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyKarakovskiy/Agent.java new file mode 100644 index 00000000..46c2b501 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyKarakovskiy/Agent.java @@ -0,0 +1,31 @@ +package agents.sergeyKarakovskiy; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +/** + * @author SergeyKarakovskiy + */ +public class Agent implements MarioAgent { + private boolean[] actions = null; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + actions = new boolean[MarioActions.numberOfActions()]; + actions[MarioActions.RIGHT.getValue()] = true; + actions[MarioActions.SPEED.getValue()] = true; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + actions[MarioActions.SPEED.getValue()] = actions[MarioActions.JUMP.getValue()] = model.mayMarioJump() || !model.isMarioOnGround(); + return actions; + } + + @Override + public String getAgentName() { + return "SergeyKarakovskiyAgent"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/Agent.java new file mode 100644 index 00000000..74882f44 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/Agent.java @@ -0,0 +1,515 @@ +package agents.sergeyPolikarpov; + +import java.util.Random; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +/** + * Created by IntelliJ IDEA. + * User: julian + * Date: Apr 28, 2009 + * Time: 2:09:42 PM + *

+ *

+ * Modified by Sergey V. Polikarpov + * Date: Aug 29, 2009 + * Time: 16:09:00 + */ +public class Agent implements MarioAgent { + + private CyberNeuron cbrn; + private final int numberOfOutputs = 10; + private final int block_size = 340; + private final int numberOfInputs = 2 * block_size + numberOfOutputs; + + private final double LearningRate = 0.01; + private boolean temporary_disable_cbrn = false; + private boolean action_in_progress = false; + private int action_in_progress_type; + private int count_of_action_in_progress = 0; + private final int action_forward = 1; + private final int action_forward_jump = 2; + private final int action_backward = 3; + private final int action_backward_jump = 4; + private final int action_forward_with_prone = 5; + private final int action_forward_with_jump_far = 6; + private final int action_none_action = 7; + private int[][] progressed_action = new int[][]{{3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6}, {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}, {7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4}, {1, 1, 1, 1, 1, 1, 1, 1}, {3, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6}, {2, 2, 2, 2, 2, 2}, {3, 3, 3, 3, 3}, {4, 4, 4, 4, 4, 4}, {1, 1, 1, 1, 1}}; + + private int deep_of_buffer = 35;//16; + private int num_pushes_to_buffer = 0; + private boolean buffer_is_full = false; + private double[][] buffer_of_inputs = new double[deep_of_buffer][numberOfInputs]; + private double[] buffer_of_actions = new double[deep_of_buffer]; + + private int deep_of_buffer_of_Mario_X = 46;//16 + private int waiting_counter = 0; + private int num_pushes_to_buffer_of_Mario_X = 0; + private boolean buffer_is_full_of_Mario_X = false; + private float[] buffer_of_Mario_X = new float[deep_of_buffer_of_Mario_X]; + private int prev_mario_mode = 2; + + private CyberNeuron detector_of_holes; + private final int detector_of_holes_numberOfInputs = 22 * 10; + private final int detector_of_holes_numberOfOutputs = 1; + private final int detector_of_holes_deep_of_buffer = 17;//15; + private boolean detector_of_holes_buffer_is_full = false; + private int detector_of_holes_num_pushes_to_buffer = 0; + private double[][] detector_of_holes_buffer_of_inputs = new double[detector_of_holes_deep_of_buffer][detector_of_holes_numberOfInputs]; + private boolean force_long_jump_forward = false; + private boolean is_first_action_when_hole_is_detected = true; + + private static final Random random = new Random(); + + /**********/ + + private double probe(int x, int y, int[][] scene) { + int realX = x + 8; + int realY = y + 8; + return (scene[realX][realY] != 0) ? 1 : 0; + } + + private double probe_enemies(int x, int y, int[][] scene) { + int realX = x + 8; + int realY = y + 8; + double result = 0; + if (scene[realX][realY] != 1) { + result = 1; + } else { + result = 0; + } + return result; + } + + private void push_Mario_X_pos_to_buffer(float Mario_X_pos) { + for (int i = 0; i < buffer_of_Mario_X.length - 1; i++) { + buffer_of_Mario_X[i] = buffer_of_Mario_X[i + 1]; + } + buffer_of_Mario_X[buffer_of_Mario_X.length - 1] = Mario_X_pos; + num_pushes_to_buffer_of_Mario_X++; + if (num_pushes_to_buffer_of_Mario_X >= deep_of_buffer_of_Mario_X) { + buffer_is_full_of_Mario_X = true; + } + } + + private void push_inputs_and_actions_to_buffer(double[] inputs, int action_in_progress_type) { + for (int i = 0; i < buffer_of_inputs.length - 1; i++) { + for (int j = 0; j < buffer_of_inputs[i].length; j++) { + buffer_of_inputs[i][j] = buffer_of_inputs[i + 1][j]; + } + } + for (int i = 0; i < inputs.length; i++) { + buffer_of_inputs[buffer_of_inputs.length - 1][i] = inputs[i]; + } + for (int i = 0; i < buffer_of_actions.length - 1; i++) { + buffer_of_actions[i] = buffer_of_actions[i + 1]; + } + buffer_of_actions[buffer_of_actions.length - 1] = action_in_progress_type; + + num_pushes_to_buffer++; + if (num_pushes_to_buffer >= deep_of_buffer) { + buffer_is_full = true; + } + } + + private void detector_of_holes_push_inputs_to_buffer(double[] inputs) { + for (int i = 0; i < detector_of_holes_buffer_of_inputs.length - 1; i++) { + for (int j = 0; j < detector_of_holes_buffer_of_inputs[i].length; j++) { + detector_of_holes_buffer_of_inputs[i][j] = detector_of_holes_buffer_of_inputs[i + 1][j]; + } + } + for (int i = 0; i < inputs.length; i++) { + detector_of_holes_buffer_of_inputs[detector_of_holes_buffer_of_inputs.length - 1][i] = inputs[i]; + } + + detector_of_holes_num_pushes_to_buffer++; + if (detector_of_holes_num_pushes_to_buffer >= detector_of_holes_deep_of_buffer) { + detector_of_holes_buffer_is_full = true; + } + } + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + cbrn = new CyberNeuron(numberOfInputs, numberOfOutputs); + detector_of_holes = new CyberNeuron(detector_of_holes_numberOfInputs, detector_of_holes_numberOfOutputs); + action_in_progress = false; + count_of_action_in_progress = 0; + buffer_is_full = false; + num_pushes_to_buffer = 0; + waiting_counter = 0; + num_pushes_to_buffer_of_Mario_X = 0; + buffer_is_full_of_Mario_X = false; + prev_mario_mode = 2; + detector_of_holes_buffer_is_full = false; + detector_of_holes_num_pushes_to_buffer = 0; + is_first_action_when_hole_is_detected = true; + for (int i = 0; i < buffer_of_inputs.length; i++) { + for (int j = 0; j < buffer_of_inputs[i].length; j++) { + buffer_of_inputs[i][j] = 0; + } + } + for (int i = 0; i < buffer_of_actions.length; i++) { + buffer_of_actions[i] = 0; + } + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + boolean[] action = new boolean[MarioActions.numberOfActions()]; + int[][] scene = model.getMarioSceneObservation(); + int[][] enemies = model.getMarioEnemiesObservation(2); + float[] Mario_pos = model.getMarioFloatPos(); + double[] inputs = new double[numberOfInputs]; + int[] outs_of_cbrn = new int[numberOfOutputs]; + + int which = 0; + + for (int f = 0; f < block_size / numberOfOutputs + 1; f++) { + for (int i = 0; i < numberOfOutputs; i++) { + if (i == buffer_of_actions[buffer_of_actions.length - 1 - f]) { + outs_of_cbrn[i] = 1; + } else { + outs_of_cbrn[i] = 0; + } + } + for (int i = 0; i < numberOfOutputs; i++) { + inputs[which++] = outs_of_cbrn[i]; + } + } + + for (int i = -6; i < 7; i++) { + for (int j = -6; j < 7; j++) { + inputs[which++] = probe(i, j, scene); + } + } + for (int i = -6; i < 7; i++) { + for (int j = -6; j < 7; j++) { + inputs[which++] = probe_enemies(i, j, enemies); + } + } + inputs[which++] = model.isMarioOnGround() ? 1 : 0; + inputs[which++] = model.mayMarioJump() ? 1 : 0; + + /********* start detector_of_holes *******/ + int which2 = 0; + double[] detector_of_holes_inputs = new double[detector_of_holes_numberOfInputs]; + for (int i = 0; i < 8; i++) { + for (int j = -8; j < 8; j++) { + detector_of_holes_inputs[which2++] = probe(i, j, scene); + } + } + double[] detector_of_holes_result = detector_of_holes.propagate(detector_of_holes_inputs); + int hole_is_close = 0; + if (detector_of_holes_result[0] > 0.75) { + if (Mario_pos[0] < 70) { + hole_is_close = 0; + } else { + hole_is_close = 1; + } + } + if (hole_is_close == 1) { + action_in_progress = false; + force_long_jump_forward = true; + is_first_action_when_hole_is_detected = true; + } + /********* end detector_of_holes *******/ + + if ((action_in_progress_type == 0) || (action_in_progress_type == 1) || (action_in_progress_type == 3)) + if ((model.isMarioOnGround() == true)/* &&(observation.mayMarioJump() == true) */) { + if (count_of_action_in_progress > 3) { + action_in_progress = false; + } + } + + /****** Select sequence of actions ***********************/ + if (force_long_jump_forward == false) { + if ((action_in_progress == false) + && (model.isMarioOnGround() == true)/* &&(observation.mayMarioJump() == true)) */) { + double[] cbrn_action_in_progress = cbrn.propagate(inputs); + boolean agent_is_active = false; + int count_tmp = 0; + for (int r = 0; r < cbrn_action_in_progress.length; r++) { + if (cbrn_action_in_progress[r] > 0.65) { + count_tmp++; + } + } + agent_is_active = count_tmp == 1; + if (temporary_disable_cbrn == true) { + agent_is_active = false; + } + if (agent_is_active == true) { + for (int r = 0; r < cbrn_action_in_progress.length; r++) { + if (cbrn_action_in_progress[r] > 0.65) { + action_in_progress_type = r; + } + } + } + if (agent_is_active == false) { /************ if cyberneurons are inactive *****************/ + int rvalue = random.nextInt(100); + if (rvalue < 30) { + action_in_progress_type = 0; + } else if (rvalue >= 30 && rvalue < 40) { + action_in_progress_type = 5; + } else if (rvalue >= 40 && rvalue < 50) { + action_in_progress_type = 1; + } else if (rvalue >= 50 && rvalue < 60) { + action_in_progress_type = 2; + } else if (rvalue >= 60 && rvalue < 70) { + action_in_progress_type = 3; + } else if (rvalue >= 70 && rvalue < 80) { + action_in_progress_type = 4; + } else if (rvalue >= 80 && rvalue < 85) { + action_in_progress_type = 6; + } else if (rvalue >= 85 && rvalue < 90) { + action_in_progress_type = 7; + } else if (rvalue >= 90 && rvalue < 95) { + action_in_progress_type = 8; + } else { + action_in_progress_type = 9; + } + } + count_of_action_in_progress = 0; + action_in_progress = true; + temporary_disable_cbrn = false; + this.push_inputs_and_actions_to_buffer(inputs, action_in_progress_type); + } + if (action_in_progress == true) { /************ do actions from selected sequence *****************/ + switch (progressed_action[action_in_progress_type][count_of_action_in_progress]) { + case (action_forward): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = false; + action[4] = false; + break; + } + case (action_forward_jump): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = true; + action[4] = false; + break; + } + case (action_backward): { + action[0] = true; + action[1] = false; + action[2] = false; + action[3] = false; + action[4] = false; + break; + } + case (action_backward_jump): { + action[0] = true; + action[1] = false; + action[2] = false; + action[3] = true; + action[4] = false; + break; + } + case (action_forward_with_prone): { + action[0] = false; + action[1] = true; + action[2] = true; + action[3] = false; + action[4] = false; + break; + } + case (action_forward_with_jump_far): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = true; + action[4] = true; + break; + } + } + count_of_action_in_progress++; + if (count_of_action_in_progress >= progressed_action[action_in_progress_type].length) { + action_in_progress = false; + } + } + } else { /************ + * selecting predefined sequence of actions when hole is near + *****************/ + if (is_first_action_when_hole_is_detected) { + action_in_progress_type = 2; + count_of_action_in_progress = 0; + is_first_action_when_hole_is_detected = false; + this.push_inputs_and_actions_to_buffer(inputs, action_in_progress_type); + } + + switch (progressed_action[action_in_progress_type][count_of_action_in_progress]) { + case (action_forward): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = false; + action[4] = false; + break; + } + case (action_forward_jump): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = true; + action[4] = false; + break; + } + case (action_backward): { + action[0] = true; + action[1] = false; + action[2] = false; + action[3] = false; + action[4] = false; + break; + } + case (action_backward_jump): { + action[0] = true; + action[1] = false; + action[2] = false; + action[3] = true; + action[4] = false; + break; + } + case (action_forward_with_prone): { + action[0] = false; + action[1] = true; + action[2] = true; + action[3] = false; + action[4] = false; + break; + } + case (action_forward_with_jump_far): { + action[0] = false; + action[1] = true; + action[2] = false; + action[3] = true; + action[4] = true; + break; + } + case (action_none_action): { + action[0] = false; + action[1] = false; + action[2] = false; + action[3] = false; + action[4] = false; + break; + } + } + count_of_action_in_progress++; + if (action_in_progress_type == 2) + if (count_of_action_in_progress >= progressed_action[action_in_progress_type].length) { + count_of_action_in_progress = 0; + action_in_progress_type = 0; + this.push_inputs_and_actions_to_buffer(inputs, action_in_progress_type); + } + + if (action_in_progress_type == 0) + if (count_of_action_in_progress >= progressed_action[action_in_progress_type].length) { + action_in_progress = false; + force_long_jump_forward = false; + is_first_action_when_hole_is_detected = true; + } + + } + /************ end selecting sequence of action *****************/ + push_Mario_X_pos_to_buffer(Mario_pos[0]); + /**** Calculate mean for forwarding Mario ***/ + float forward_mean = 0; + forward_mean = buffer_of_Mario_X[buffer_of_Mario_X.length - 1] - buffer_of_Mario_X[0]; + + /********* if Mario long stay at one position ***********/ + if (forward_mean <= 0) + if (forward_mean <= 0) { + if (waiting_counter == 0) { + waiting_counter = 12; + action_in_progress = false; + temporary_disable_cbrn = true; + } else { + waiting_counter--; + } + } + /********* end if Mario long stay at one position ***********/ + + /********* if Mario progressed well ***********/ + if (forward_mean > 0) { + cbrn.ssetLearningRate(LearningRate); + if ((buffer_is_full_of_Mario_X == true) && (buffer_is_full == true)) { + for (int t = 0; t < deep_of_buffer - 1; t++) { + double[] targeted_outs_of_cbrn = new double[numberOfOutputs]; + for (int i = 0; i < numberOfOutputs; i++) { + if (i == buffer_of_actions[t]) { + targeted_outs_of_cbrn[i] = 1; + } else { + targeted_outs_of_cbrn[i] = 0; + } + } + cbrn.propagate(buffer_of_inputs[t]); + cbrn.backPropagate(targeted_outs_of_cbrn); + } + } + } + /********* end if Mario progressed well ***********/ + + /********* if Mario fallen to hole ***********/ + if (Mario_pos[1] > 251) { + /********* start detector_of_holes *******/ + if (detector_of_holes_buffer_is_full) { + double[] detector_of_holes_targeted_outs = new double[detector_of_holes_numberOfOutputs]; + // detector_of_holes.ssetLearningRate(0.1); + detector_of_holes.ssetLearningRate(0.15); + detector_of_holes_targeted_outs[0] = 1; + for (int i = 0; i < 2; i++) { + detector_of_holes.propagate(detector_of_holes_buffer_of_inputs[i]); + detector_of_holes.backPropagate(detector_of_holes_targeted_outs); + } + } + /********* end detector_of_holes *******/ + } + /********* end if Mario fall to hole ***********/ + + /************ if Mario don't fallen to a hole *****************/ + if (model.isMarioOnGround() && detector_of_holes_buffer_is_full) { + /********* start detector_of_holes *******/ + + double[] detector_of_holes_targeted_outs = new double[detector_of_holes_numberOfOutputs]; + detector_of_holes.ssetLearningRate(0.001); + detector_of_holes_targeted_outs[0] = 0; + for (int i = 0; i < 2; i++) { + detector_of_holes.propagate(detector_of_holes_buffer_of_inputs[i]); + detector_of_holes.backPropagate(detector_of_holes_targeted_outs); + } + /********* end detector_of_holes *******/ + } + this.detector_of_holes_push_inputs_to_buffer(detector_of_holes_inputs); + + /********* if enemies hurt Mario ***********/ + if (prev_mario_mode - model.getMarioMode() > 0) { + cbrn.ssetLearningRate(LearningRate); + if (buffer_is_full_of_Mario_X == true) { + double[] targeted_outs_of_cbrn = new double[numberOfOutputs]; + for (int i = 0; i < numberOfOutputs; i++) { + targeted_outs_of_cbrn[i] = 0; + } + cbrn.propagate(buffer_of_inputs[buffer_of_inputs.length - 2]); + cbrn.backPropagate(targeted_outs_of_cbrn); + } + } + /********* end if enemies hurt Mario ***********/ + + prev_mario_mode = model.getMarioMode(); + return action; + } + + @Override + public String getAgentName() { + return "SergeyPolikarpovAgent"; + } + + +} + diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/CyberNeuron.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/CyberNeuron.java new file mode 100644 index 00000000..d5742986 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/sergeyPolikarpov/CyberNeuron.java @@ -0,0 +1,303 @@ +package agents.sergeyPolikarpov; + +import java.util.Random; + +/** + * Created by Eclipse Java EE IDE. + * User: Sergey V. Polikarpov + * Date: Aug 29, 2009 + * Time: 16:09:00 + * Controller for marioai, based on CyberNeuron (see technical details at http://arxiv.org/abs/0907.0229) + * Copyright (C) 2009 Sergey V. Polikarpov, Konstantin E. Rumyantsev + * Contact: polikarpovsv*gmail.com + *

+ * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + *

+ * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + *

+ * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +public class CyberNeuron { + + private float[][][] sbox; + + private int[] inputs_for_sbox; + private int[] outputs_for_sbox; + private double[] outputs; + private double[] inputs; + public final int parallel_inputs = 1; + + private int num_bits_in_input = 10; //****// + private int num_of_cells_in_sbox = (int) Math.pow(2, num_bits_in_input); //****// + private int[] powstwo = {1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, 32768, 65536}; + + private int threshold; + + private final Random random = new Random(); + private double learningRate = 0.05; + + public CyberNeuron(int numberOfInputs, int numberOfOutputs) { + threshold = (int) (0.65 * (127 * numberOfInputs * parallel_inputs / num_bits_in_input)); + sbox = new float[numberOfInputs * parallel_inputs / num_bits_in_input][num_of_cells_in_sbox][numberOfOutputs]; //****// + inputs_for_sbox = new int[sbox.length]; + outputs_for_sbox = new int[sbox[0][0].length]; + + outputs = new double[numberOfOutputs]; + inputs = new double[numberOfInputs]; + initialize_sbox(sbox); + } + + public CyberNeuron(float[][][] sbox, int numberOfOutputs) { + this.sbox = sbox; + inputs = new double[sbox.length * num_bits_in_input]; + outputs = new double[numberOfOutputs]; + } + + protected void initialize_sbox(float[][][] sbox) { + for (int i = 0; i < sbox.length; i++) { + for (int j = 0; j < sbox[i].length; j++) { + for (int m = 0; m < sbox[i][j].length; m++) { + sbox[i][j][m] = 0; + } + } + } + } + + + public CyberNeuron getNewInstance() { + return new CyberNeuron(sbox.length * num_bits_in_input / parallel_inputs, outputs.length); + } + + public CyberNeuron copy() { + CyberNeuron copy = new CyberNeuron(copy(sbox), outputs.length); + //copy.setMutationMagnitude(mutationMagnitude); + return copy; + } + + private float[][][] copy(float[][][] original) { // need to correct + float[][][] copy = new float[original.length][original[0].length][original[0][0].length]; + for (int i = 0; i < copy.length; i++) { + for (int j = 0; j < copy[i].length; j++) { + for (int m = 0; m < copy[i][j].length; m++) { + copy[i][j][m] = original[i][j][m]; + } + } + } + return copy; + } + + public double[] propagate(double[] inputIn) { + if (inputs != inputIn) { + System.arraycopy(inputIn, 0, this.inputs, 0, inputIn.length); + } + if (inputIn.length < inputs.length) + System.out.println("NOTE: only " + inputIn.length + " inputs out of " + inputs.length + " are used in the network"); + + int blocksize = sbox.length / parallel_inputs; + int[] tmp_inputs = new int[blocksize]; + for (int m = 0; m < blocksize; m++) { + tmp_inputs[m] = 0; + for (int n = 0; n < num_bits_in_input; n++) { + if (inputs[m * num_bits_in_input + n] == 1) { + tmp_inputs[m] += powstwo[n]; + } + } + } + + for (int p = 0; p < parallel_inputs; p++) { + for (int m = 0; m < blocksize; m++) { //****// + inputs_for_sbox[p * blocksize + m] = tmp_inputs[m]; + } + } + + for (int i = 0; i < sbox[0][0].length; i++) { //****// + outputs_for_sbox[i] = 0; + for (int m = 0; m < sbox.length; m++) { + outputs_for_sbox[i] += sbox[m][inputs_for_sbox[m]][i]; + } + + double tmp_value; + if (outputs_for_sbox[i] > this.threshold) { + tmp_value = this.threshold; + } else { + tmp_value = outputs_for_sbox[i]; + } + + outputs[i] = tmp_value / (double) this.threshold; + } + return outputs; + } + + + public double backPropagate(double[] targetOutputs) { + double[] outputError = new double[outputs.length]; + + for (int i = 0; i < targetOutputs.length; i++) { + /*if(targetOutputs[i] == 1) { + if(outputs[i]*this.threshold < this.threshold) {outputError[i] = (targetOutputs[i] - outputs[i])*this.threshold;} + else {outputError[i] = 0;} + } + if(targetOutputs[i] == 0) { + if(outputs[i]*this.threshold < this.threshold_min) {outputError[i] = 0;} + else {outputError[i] = (targetOutputs[i] - outputs[i])*this.threshold;} + }*/ + outputError[i] = (targetOutputs[i] - outputs[i]) * this.threshold; + + if (Double.isNaN(outputError[i])) { + System.out.println("Problem at output " + i); + System.out.println(outputs[i] + " " + targetOutputs[i]); + System.exit(0); + } + } + + //////////////////////////////////////////////////////////////////////////// + //CELLS UPDATE + /////////////////////////////////////////////////////////////////////////// + for (int i = 0; i < sbox[0][0].length; i++) { + int outputError_tmp = (int) (outputError[i] * learningRate); + if (outputError_tmp == 0) { + if (outputError[i] > 0) { + outputError[i] = 1; + } + if (outputError[i] < 0) { + outputError[i] = -1; + } + if (outputError[i] == 0) { + outputError[i] = 0; + } + } else { + outputError[i] = outputError_tmp; + } + + if (outputError[i] > 0) { + for (int r = 0; r < outputError[i]; r++) { + int row_number = random.nextInt(sbox.length); + int cell_number = inputs_for_sbox[row_number]; + //if(sbox[row_number][cell_number][i] < 126) + { + sbox[row_number][cell_number][i]++; + } + } + + } else { + for (int r = 0; r < Math.abs(outputError[i]); r++) { + int row_number = random.nextInt(sbox.length); + int cell_number = inputs_for_sbox[row_number]; + //if(sbox[row_number][cell_number][i] > -125) + { + sbox[row_number][cell_number][i]--; + } + } + } + + } + + double summedOutputError = 0.0; + for (int k = 0; k < targetOutputs.length; k++) { + summedOutputError += Math.abs(targetOutputs[k] - outputs[k]); + } + summedOutputError /= outputs.length; + + // Return something sensible + return summedOutputError; + } + + public double getMutationMagnitude() { + return 0; + } + + public void setMutationMagnitude(double mutationMagnitude) { + //this.mutationMagnitude = mutationMagnitude; + } + + public static void setInitParameters(double mean, double deviation) { + System.out.println("PARAMETERS SET: " + mean + " deviation: " + deviation); + } + + public void println() { + System.out.print("\n\n----------------------------------------------------" + + "-----------------------------------\n"); + System.out.print("----------------------------------------------------" + + "-----------------------------------\n"); + } + + public String toString() { + return "CyberNeuron by Sergey V. Polikarpov"; + } + + public void ssetLearningRate(double learningRate) { + this.learningRate = learningRate; + } + + public double[] getOutputs() { + double[] outputsCopy = new double[outputs.length]; + System.arraycopy(outputs, 0, outputsCopy, 0, outputs.length); + return outputsCopy; + } + + public double[] getWeightsArray() { + + double[] weights = new double[sbox.length * sbox[0].length * sbox[0][0].length]; + + int k = 0; + for (int i = 0; i < sbox.length; i++) { + for (int j = 0; j < sbox[i].length; j++) { + for (int m = 0; m < sbox[i][j].length; m++) { + k = i + j + m; + weights[k] = sbox[i][j][m]; + } + } + } + return weights; + } + + public void setWeightsArray(double[] weights) { + int k = 0; + + for (int i = 0; i < sbox.length; i++) { + for (int j = 0; j < sbox[i].length; j++) { + for (int m = 0; m < sbox[i][j].length; m++) { + k = i + j + m; + sbox[i][j][m] = (char) weights[k]; + } + } + } + } + + public int getNumberOfInputs() { + return inputs.length; + } + + public void randomise() { + } + + public double[] getArray() { + return getWeightsArray(); + } + + public void setArray(double[] array) { + setWeightsArray(array); + } + + public int[] getPackedInputsToInt(double[] inputs) { + int[] tmp_inputs = new int[sbox.length]; + for (int m = 0; m < sbox.length; m++) { + tmp_inputs[m] = 0; + for (int n = 0; n < num_bits_in_input; n++) { + if (inputs[m * num_bits_in_input + n] == 1) { + tmp_inputs[m] += powstwo[n]; + } + } + } + return tmp_inputs; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Agent.java new file mode 100644 index 00000000..894a7345 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Agent.java @@ -0,0 +1,66 @@ +package agents.spencerSchumann; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +/** + * @author Spencer Schumann + */ +public class Agent implements MarioAgent { + + private Tiles tiles; + private MarioState mario; + private EnemySimulator enemySim; + private boolean manualOverride = false; + private PlanRunner planRunner; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + tiles = new Tiles(); + mario = new MarioState(); + planRunner = new PlanRunner(); + enemySim = new EnemySimulator(); + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + float[] marioPos = model.getMarioFloatPos(); + tiles.addObservation(model); + int mx = (int) (marioPos[0] / 16.0f); + int my = (int) (marioPos[1] / 16.0f); + // TODO: in the latest code drop, it looks like there is no "mario hole." + // So, tiles could be removed. + int[][] scene = tiles.getScene(mx - model.obsGridWidth / 2, my - model.obsGridHeight / 2, + model.obsGridWidth, model.obsGridHeight); + mario.update(model); + Scene sanitizedScene = new Scene(model, scene); + enemySim.update(sanitizedScene); + enemySim.update(model); + + boolean[] action = null; + if (planRunner.isDone() || planRunner.isLastAction() || manualOverride) { + MovementPlanner planner = new MovementPlanner(sanitizedScene, mario, enemySim.clone()); + PlanRunner plan = planner.planMovement(); + if (plan != null) { + //System.out.println("New plan."); + planRunner = plan; + } else { + action = new boolean[5]; + action[MarioActions.RIGHT.getValue()] = true; + action[MarioActions.SPEED.getValue()] = action[MarioActions.JUMP.getValue()] = + model.mayMarioJump() || !model.isMarioOnGround(); + } + } + if (action == null) + action = planRunner.nextAction(); + return action; + } + + @Override + public String getAgentName() { + return "SpencerShumannAgent"; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/BumpableEdge.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/BumpableEdge.java new file mode 100644 index 00000000..9cfec8bd --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/BumpableEdge.java @@ -0,0 +1,15 @@ +package agents.spencerSchumann; + +/** + * @author Spencer Schumann + */ +public class BumpableEdge extends Edge { + // Type is BRICK, SPECIAL_COIN, or SPECIAL_QUESTION + + int type; + + public BumpableEdge(float x1, float y1, float x2, float y2, int type) { + super(x1, y1, x2, y2); + this.type = type; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Edge.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Edge.java new file mode 100644 index 00000000..00728bd6 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Edge.java @@ -0,0 +1,19 @@ +package agents.spencerSchumann; + +/** + * @author Spencer Schumann + */ +public class Edge { + float x1; + float y1; + float x2; + float y2; + + public Edge(float x1, float y1, float x2, float y2) { + this.x1 = x1; + this.y1 = y1; + this.x2 = x2; + this.y2 = y2; + } +} + diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Enemy.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Enemy.java new file mode 100644 index 00000000..35e1455d --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Enemy.java @@ -0,0 +1,79 @@ +/* + * To change this template, choose Tools | Templates + * and open the template in the editor. + */ +package agents.spencerSchumann; + +/** + * @author Spencer + */ +public class Enemy { + + public int type; + public float x; + public float y; + public float vx; + public float height; + public float width; + + public boolean winged; + public boolean safeTop; + + public static final int KIND_NONE = 0; + public static final int KIND_GOOMBA = 2; + public static final int KIND_GOOMBA_WINGED = 3; + public static final int KIND_RED_KOOPA = 4; + public static final int KIND_RED_KOOPA_WINGED = 5; + public static final int KIND_GREEN_KOOPA = 6; + public static final int KIND_GREEN_KOOPA_WINGED = 7; + public static final int KIND_BULLET_BILL = 10; + public static final int KIND_SPIKEY = 8; + public static final int KIND_SPIKEY_WINGED = 9; + public static final int KIND_ENEMY_FLOWER = 11; + public static final int KIND_SHELL = 14; + public static final int KIND_MUSHROOM = 12; + public static final int KIND_FIRE_FLOWER = 13; + public static final int KIND_FIREBALL = 16; + + public Enemy(int type, float x, float y) { + this.type = type; + this.x = x; + this.y = y; + + height = 24.0f; + width = 16.0f; + if (type == KIND_BULLET_BILL) { + height = 12.0f; + width = 24.0f; + } + + switch (type) { + case KIND_GOOMBA_WINGED: + case KIND_RED_KOOPA_WINGED: + case KIND_GREEN_KOOPA_WINGED: + case KIND_SPIKEY_WINGED: + winged = true; + break; + default: + break; + } + + switch (type) { + case KIND_SPIKEY: + case KIND_SPIKEY_WINGED: + case KIND_ENEMY_FLOWER: + safeTop = false; + break; + default: + safeTop = true; + break; + } + } + + @Override + public Enemy clone() { + Enemy e = new Enemy(type, x, y); + e.vx = vx; + return e; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemyEdge.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemyEdge.java new file mode 100644 index 00000000..7abf5793 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemyEdge.java @@ -0,0 +1,13 @@ +package agents.spencerSchumann; + +/** + * @author Spencer Schumann + */ +public class EnemyEdge extends Edge { + // TODO: add enemy type + // Horizontal edges emit flowers, horizontal ones emit bullets + + public EnemyEdge(float x1, float y1, float x2, float y2) { + super(x1, y1, x2, y2); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemySimulator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemySimulator.java new file mode 100644 index 00000000..1d0cf4e0 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/EnemySimulator.java @@ -0,0 +1,77 @@ +/* + * To change this template, choose Tools | Templates + * and open the template in the editor. + */ + +package agents.spencerSchumann; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; + +/** + * @author Spencer + */ +public class EnemySimulator { + + public ArrayList enemies; + + public EnemySimulator() { + enemies = new ArrayList(); + } + + @Override + public EnemySimulator clone() { + EnemySimulator es = new EnemySimulator(); + for (Enemy e : enemies) { + es.enemies.add(e.clone()); + } + return es; + } + + // Update all known enemy positions based on given scene + public void update(Scene scene) { + for (Enemy enemy : enemies) { + // TODO: this needs to be much more sophisticated. + enemy.x += enemy.vx; + } + } + + // Add new enemies based on the given observation. + // update(Scene scene) should be called first. + public void update(MarioForwardModel model) { + float[] ep = model.getEnemiesFloatPos(); + int i; + ArrayList newEnemies = new ArrayList(); + for (i = 0; i < ep.length; i += 3) { + int type = (int) ep[i]; + float x = ep[i + 1]; + float y = ep[i + 2]; + boolean found = false; + for (Enemy enemy : enemies) { + if (type == enemy.type && y == enemy.y) { + float xdiff = Math.abs(enemy.x - x); + if (xdiff == 0.0f) { + // Enemy in new observation was already known. + newEnemies.add(enemy); + enemies.remove(enemy); + found = true; + break; + } else if (xdiff < 5.0f) { + enemy.vx += x - enemy.x; + enemy.x = x; + newEnemies.add(enemy); + enemies.remove(enemy); + found = true; + break; + } + } + } + if (!found) { + // Not found; create new enemy + newEnemies.add(new Enemy(type, x, y)); + } + } + enemies = newEnemies; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MarioState.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MarioState.java new file mode 100644 index 00000000..513792cd --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MarioState.java @@ -0,0 +1,72 @@ +package agents.spencerSchumann; + +import engine.core.MarioForwardModel; + +/** + * @author Spencer Schumann + */ +public class MarioState { + + public float x; + public float y; + public float vx; + public float vy; + public int mode; + public float height; + public boolean onGround; + public boolean mayJump; + public int jumpTime; + + private boolean first = true; + + public void update(MarioForwardModel model) { + mode = model.getMarioMode(); + if (mode > 0) { + height = 24.0f; + } else { + height = 12.0f; + } + onGround = model.isMarioOnGround(); + mayJump = model.mayMarioJump(); + + float[] pos = model.getMarioFloatPos(); + if (first) { + first = false; + x = pos[0]; + y = pos[1]; + } + float newVx = pos[0] - x; + float newVy = pos[1] - y; + vx = newVx; + vy = newVy; + x = pos[0]; + y = pos[1]; + } + + @Override + public MarioState clone() { + MarioState m = new MarioState(); + m.x = x; + m.y = y; + m.vx = vx; + m.vy = vy; + m.first = first; + m.mode = mode; + m.height = height; + m.onGround = onGround; + m.mayJump = mayJump; + m.jumpTime = jumpTime; + return m; + } + + public boolean equals(MarioState other) { + return x == other.x && + y == other.y && + first == other.first && + mode == other.mode && + height == other.height && + jumpTime == other.jumpTime && + mayJump == other.mayJump && + onGround == other.onGround; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MotionSimulator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MotionSimulator.java new file mode 100644 index 00000000..55bb480b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MotionSimulator.java @@ -0,0 +1,193 @@ +/* + * To change this template, choose Tools | Templates + * and open the template in the editor. + */ + +package agents.spencerSchumann; + +import engine.helper.MarioActions; + +/** + * @author Spencer Schumann + */ +public class MotionSimulator { + + private Scene scene; + public MarioState mario; + public boolean collision; + private int ticks; + public boolean leftWorldEdge = true; + + public MotionSimulator(Scene scene, MarioState mario) { + this.scene = scene.clone(); + this.mario = mario.clone(); + } + + public void updateScene(Scene scene) { + this.scene.update(scene); + } + + private void handleHorizontalInput(boolean[] action) { + float xSpeed = action[MarioActions.SPEED.getValue()] ? 1.2f : 0.6f; + if (action[MarioActions.LEFT.getValue()]) + mario.vx -= xSpeed; + if (action[MarioActions.RIGHT.getValue()]) + mario.vx += xSpeed; + } + + // TODO: simulator known issues: + // 1. Simulator sometimes allows jump when it shouldn't: when running off of + // edges, and when repeatedly pressing the jump button + + private void handleJumpInput(boolean[] action) { + mario.vy *= 0.85f; + if (!mario.onGround) + mario.vy += 3.0f; + + // TODO: instead of all this boolean[] nonsense, create an Action class with jump etc. fields + if (!action[MarioActions.JUMP.getValue()]) { + mario.jumpTime = 0; + if (mario.onGround) + mario.mayJump = true; + } + + if (action[MarioActions.JUMP.getValue()]) { + if (mario.jumpTime > 0) { + mario.vy = -1.9f * mario.jumpTime--; + } else if (mario.mayJump) { + mario.jumpTime = 7; + mario.vy = -1.9f * mario.jumpTime; + } + mario.mayJump = false; + } + } + + // Applies the given action to run one simulation time step + public void update(boolean[] action) { + handleHorizontalInput(action); + handleJumpInput(action); + + moveHorizontally(); + moveVertically(); + + ticks++; + } + + // Add using the goofy 8 at a time method used in Mario.java. + // Skipping this step causes small errors due to floating point inaccuracy. + private float goofyAdd(float a, float b) { + while (b > 8.0f) { + b -= 8.0f; + a += 8.0f; + } + while (b < -8.0f) { + b += 8.0f; + a -= 8.0f; + } + return a + b; + } + + // Move horizontally, checking for collisions + private void moveHorizontally() { + if (Math.abs(mario.vx) < 0.5f) + mario.vx = 0.0f; + + float newX = goofyAdd(mario.x, mario.vx); + // Is there a wall between x & newX? + for (Edge e : scene.walls) { + //System.out.println(String.format("Pos:(%f,%f) New X: %f Wall:(%f,%f)@%f", scene.pos.x, scene.pos.y, newX, e.y1, e.y2, e.x1)); + // In the right Y range? + // TODO: I think the Y check is off a bit, especially the y2 portion. + if (e.y1 <= mario.y && + e.y2 >= mario.y - mario.height) { + // Collision going right? + if (mario.x + 4.0f <= e.x1 && e.x1 <= newX + 4.0f) { + mario.x = e.x1 - 5.0f; + mario.vx = 0.0f; + collision = true; + return; + } + // Collision going left? + if (newX - 4.0f <= e.x1 && e.x1 <= mario.x - 4.0f) { + mario.x = e.x1 + 4.0f; + mario.vx = 0.0f; + collision = true; + return; + } + } + } + mario.x = newX; + mario.vx *= 0.89f; + + if (leftWorldEdge && mario.x < 0.0f) { + mario.x = 0.0f; + mario.vx = 0.0f; + } + } + + // Move vertically, checking for collisions + private void moveVertically() { + float newY = goofyAdd(mario.y, mario.vy); + // Check for floor + if (mario.vy >= 0.0f) { + for (Edge e : scene.floors) { + // In right X range and has Y intersect? + if (e.x1 < mario.x + 4.0f && + e.x2 > mario.x - 4.0f && + mario.y <= e.y1 && e.y1 - 1.0f <= newY) { + mario.y = e.y1 - 1.0f; + mario.onGround = true; + mario.jumpTime = 0; + return; + } + } + } + // Check for ceiling + else if (mario.vy < 0.0f) { + for (Edge e : scene.ceilings) { + // In right X range and has Y intersect? + if (e.x1 < mario.x + 4.0f && + e.x2 > mario.x - 4.0f && + mario.y - mario.height >= e.y1 && + e.y1 >= newY - mario.height) { + mario.y = e.y1 + mario.height; + mario.vy = 0.0f; + mario.jumpTime = 0; + collision = true; + return; + } + } + } + mario.onGround = false; + mario.mayJump = false; + mario.y = newY; + } + + public Scene getScene() { + return scene; + } + + public float getX() { + return mario.x; + } + + public void setX(float x) { + mario.x = x; + } + + public float getVX() { + return mario.vx; + } + + public float getY() { + return mario.y; + } + + public void setY(float y) { + mario.y = y; + } + + public int getTicks() { + return ticks; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MovementPlanner.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MovementPlanner.java new file mode 100644 index 00000000..f5f6744f --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/MovementPlanner.java @@ -0,0 +1,244 @@ +/* + * To change this template, choose Tools | Templates + * and open the template in the editor. + */ +package agents.spencerSchumann; + +import java.util.ArrayList; +import java.util.Comparator; + +import engine.helper.MarioActions; + +import java.util.Collections; + +/** + * @author Spencer Schumann + */ +// Jump up from one floor to another, if possible. +public class MovementPlanner { + + Scene scene; + MarioState mario; + EnemySimulator enemySim; + Edge targetFloor; + + public float[] projectedX; + public float[] projectedY; + + MovementPlanner(Scene scene, MarioState mario, EnemySimulator enemySim) { + this.scene = scene; + this.mario = mario; + this.enemySim = enemySim; + } + + private int flightTimeForJump(int jumpTime, float height) { + Scene simScene = new Scene(0, 0); + simScene.floors.add(new Edge(-10.0f, height, 10.0f, height)); + MarioState simMario = new MarioState(); + simMario.mayJump = true; + simMario.onGround = true; + MotionSimulator sim = new MotionSimulator(simScene, simMario); + + int i; + boolean[] jump = new boolean[5]; + jump[MarioActions.JUMP.getValue()] = true; + for (i = 0; i < jumpTime; i++) { + sim.update(jump); + } + boolean[] coast = new boolean[5]; + while (true) { + sim.update(coast); + if (sim.mario.onGround) + return sim.getTicks(); + if (sim.mario.vy > 0.0f && sim.mario.y > height) + return -1; + } + } + + private int ticksToPos(float pos) { + Scene simScene = new Scene(0, 0); + simScene.floors.add(new Edge(-1000.0f, 1.0f, pos, 1.0f)); + MarioState simMario = new MarioState(); + simMario.vx = mario.vx; + MotionSimulator sim = new MotionSimulator(simScene, simMario); + sim.leftWorldEdge = false; + + boolean[] run = new boolean[5]; + run[MarioActions.RIGHT.getValue()] = true; + run[MarioActions.SPEED.getValue()] = true; + while (true) { + sim.update(run); + if (sim.mario.x >= pos) + return sim.getTicks(); + } + } + + private float posFromTicks(int ticks) { + Scene simScene = new Scene(0, 0); + simScene.floors.add(new Edge(-1000.0f, 1.0f, ticks * 100.0f, 1.0f)); //TODO: 20.0f should be max speed + MarioState simMario = new MarioState(); + simMario.vx = mario.vx; + MotionSimulator sim = new MotionSimulator(simScene, simMario); + sim.leftWorldEdge = false; + + int i; + boolean[] run = new boolean[5]; + run[MarioActions.RIGHT.getValue()] = true; + run[MarioActions.SPEED.getValue()] = true; + for (i = 0; i < ticks; i++) { + sim.update(run); + } + return sim.mario.x; + } + + private boolean checkPlan(PlanRunner plan, Edge targetFloor) { + MotionSimulator sim = new MotionSimulator(scene, mario); + projectedX = new float[plan.getLength() + 1]; + projectedY = new float[plan.getLength() + 1]; + this.targetFloor = targetFloor; + EnemySimulator es = enemySim.clone(); + while (!plan.isDone()) { + es.update(scene); + sim.update(plan.nextAction()); + projectedX[plan.getIndex() - 1] = sim.mario.x; + projectedY[plan.getIndex() - 1] = sim.mario.y; + for (Enemy e : es.enemies) { + if (sim.mario.x >= (e.x - e.width / 2.0f - 4.0f) && + sim.mario.x <= (e.x + e.width / 2.0f + 4.0f) && + sim.mario.y >= e.y - e.height && + sim.mario.y - sim.mario.height <= e.y) { + return false; + } + } + } + // Need one more to get the final movement...? + //sim.update(plan.nextAction()); + plan.rewind(); + return sim.mario.x > targetFloor.x1 - 4.0f && + sim.mario.x < targetFloor.x2 + 4.0f && + sim.mario.y == targetFloor.y1 - 1.0f; + } + + private PlanRunner planJump(Edge currentFloor, Edge targetFloor) { + float ydiff = targetFloor.y1 - currentFloor.y1; + // TODO: this is still a hack. Should be -3, not +4, and time step shouldn't have the +1. + // For some reason, jumps are coming up short at times. + float xdiff = targetFloor.x1 - mario.x + 4.0f; + if (xdiff < 0.0f) + xdiff = targetFloor.x2 - mario.x - 3.0f; + + int ticks = ticksToPos(xdiff); + //System.out.println(String.format("Time to travel %f: %d ticks", xdiff, ticks)); + int flightTime = 0; + int jumpTime; + for (jumpTime = 0; jumpTime <= 7; jumpTime++) { + flightTime = flightTimeForJump(jumpTime, ydiff); + if (flightTime < 0) { + continue; + } + + PlanRunner plan = new PlanRunner(); + // TODO: check to see if fight time will put Mario past right edge of target + // TODO: check for collisions + // TODO: jumps are falling short, find out why. + + //System.out.println(String.format("Planning on holding jump for %d ticks, total flight time %d ticks", jumpTime, flightTime)); + if (ticks <= flightTime) { + //System.out.println(" ticks < flight time"); + // jump straight up, then move right later. + plan.addKey(MarioActions.SPEED.getValue()); + plan.addKey(MarioActions.JUMP.getValue(), 0, jumpTime); + plan.addKey(MarioActions.RIGHT.getValue(), flightTime - ticks, ticks); + } else { + int timeUntilJump = ticks - flightTime + 1; + float posUntilJump = posFromTicks(timeUntilJump); + if (posUntilJump + mario.x >= currentFloor.x2 + 4.0f) { + //System.out.println(" * Can't do it: not enough runway"); + continue; + } + plan.addKey(MarioActions.SPEED.getValue()); + plan.addKey(MarioActions.RIGHT.getValue(), 0, ticks); + plan.addKey(MarioActions.JUMP.getValue(), timeUntilJump, jumpTime); + } + + // Check plan. Does it successfully get to the target? + if (checkPlan(plan, targetFloor)) + return plan; + else + continue; + } + return null; + } + + class BestTarget implements Comparator { + public int compare(Edge o1, Edge o2) { + if (o1.x2 > o2.x2) + return -1; + if (o1.x2 < o2.x2) + return 1; + if (o1.y1 > o2.y1) + return -1; + if (o1.y1 < o2.y1) + return 1; + return 0; + } + } + + private ArrayList findTargetFloors(Edge currentFloor) { + // Phase 1: find a floor that is above and to the right of the + // current floor. The nearest such floor is the target. + ArrayList targets = new ArrayList(); + Collections.sort(scene.floors, new BestTarget()); + for (Edge e : scene.floors) { + if (//(e.x2 > currentFloor.x2) && + (e.x2 > mario.x) && + //(e.y1 <= currentFloor.y1) && + (e.y1 + 64.0f >= currentFloor.y1)) { + //System.out.println(String.format(" Candidate target: (%f,%f)-(%f,%f)", + // e.x1, e.y1, e.x2, e.y2)); + targets.add(e); + } + } + + return targets; + } + + private Edge findCurrentFloor() { + for (Edge e : scene.floors) { + if ((mario.y == e.y1 - 1) && + (mario.x >= e.x1 - 4.0f) && // 4s account for Mario's width + (mario.x <= e.x2 + 4.0f)) { + return e; + } + } + return null; + } + + public PlanRunner planMovement() { + Edge currentFloor; + ArrayList targetFloors; + currentFloor = findCurrentFloor(); + if (currentFloor != null) { + } else { + return null; + } + targetFloors = findTargetFloors(currentFloor); + if (!targetFloors.isEmpty()) { + for (Edge target : targetFloors) { + if (target == currentFloor) + continue; + PlanRunner plan = planJump(currentFloor, target); + if (null != plan) { + // TODO: there may be several different plans that would work. + // If so, choose the best one. + return plan; + } + } + } + return null; + } + + public Edge getTargetFloor() { + return targetFloor; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/PlanRunner.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/PlanRunner.java new file mode 100644 index 00000000..d3d084ad --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/PlanRunner.java @@ -0,0 +1,85 @@ +package agents.spencerSchumann; + +import java.util.ArrayList; +import java.util.HashMap; + +/** + * @author Spencer Schumann + */ +public class PlanRunner { + + private class Event { + public int key; + public boolean pressed; + + Event(int key, boolean pressed) { + this.key = key; + this.pressed = pressed; + } + } + + private int index; + private int maxTime; + private boolean[] action = new boolean[5]; + private HashMap> events; + + PlanRunner() { + maxTime = -1; + events = new HashMap>(); + rewind(); + } + + public boolean isDone() { + return index > maxTime; + } + + public boolean isLastAction() { + return index == maxTime; + } + + public int getIndex() { + return index; + } + + public int getLength() { + return maxTime; + } + + public void rewind() { + index = 0; + } + + public void addKey(int key) { + addKey(key, 0); + } + + public void addKey(int key, int timeStep) { + addKeyEvent(key, timeStep, true); + } + + public void addKey(int key, int timeStep, int duration) { + addKeyEvent(key, timeStep, true); + addKeyEvent(key, timeStep + duration, false); + } + + private void addKeyEvent(int key, int timeStep, boolean pressed) { + ArrayList keys = events.get(Integer.valueOf(timeStep)); + if (keys == null) { + keys = new ArrayList(); + events.put(Integer.valueOf(timeStep), keys); + } + keys.add(new Event(key, pressed)); + maxTime = Math.max(maxTime, timeStep); + } + + public boolean[] nextAction() { + ArrayList keys = events.get(Integer.valueOf(index)); + if (keys != null) { + for (Event e : keys) { + action[e.key] = e.pressed; + } + } + index++; + return action; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Scene.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Scene.java new file mode 100644 index 00000000..754ecaf0 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Scene.java @@ -0,0 +1,214 @@ +package agents.spencerSchumann; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; + +/** + * @author Spencer Schumann + */ +public class Scene { + + public ArrayList floors = new ArrayList(); + public ArrayList walls = new ArrayList(); + public ArrayList ceilings = new ArrayList(); + public ArrayList bumpables = new ArrayList(); + public ArrayList enemyEmitters = new ArrayList(); + public long constructTime; + + // The extreme top left corner of the scene, in world coordinates + public float originX; + public float originY; + + @Override + public Scene clone() { + // TODO: I should really be calling s.clone() here; see Object.clone(). + Scene s = new Scene(); + s.update(this); + return s; + } + + public void update(Scene scene) { + // TODO: no deep copy of edges; will this cause problems? + clearEdges(); + add(scene); + originX = scene.originX; + originY = scene.originY; + } + + public void clearEdges() { + floors.clear(); + walls.clear(); + ceilings.clear(); + bumpables.clear(); + enemyEmitters.clear(); + } + + private Scene() { + } + + public Scene(float originX, float originY) { + this.originX = originX; + this.originY = originY; + } + + public Scene(MarioForwardModel model, int[][] scene) { + long startTime = System.nanoTime(); + + float[] marioPos = model.getMarioFloatPos(); + originX = (float) Math.floor(marioPos[0] / 16.0f) * 16.0f - (model.obsGridWidth / 2) * 16.0f; + originY = (float) Math.floor(marioPos[1] / 16.0f) * 16.0f - (model.obsGridHeight / 2) * 16.0f; + + boolean[][] visited = new boolean[scene.length][scene[0].length]; + int x, y; + for (x = 0; x < scene.length; x++) { + for (y = 0; y < scene[x].length; y++) { + int tile = scene[x][y]; + if (tile == Tiles.COIN) { + // TODO + } else if (!visited[y][x]) { + if (Tiles.isWall(tile)) { + Scene block = new Scene(originX, originY); + block.expandWall(scene, visited, x, y); + add(block); + } else if (tile == Tiles.JUMPTHROUGH) { + Scene ledge = new Scene(originX, originY); + ledge.expandLedge(scene, visited, x, y); + add(ledge); + } + } + } + } + // TODO: update bumpables and EnemyEmitters, if not already done + constructTime = System.nanoTime() - startTime; + } + + // Expand vectorized block from an initial starting point, and mark + // all tiles that are part of this block as visited + private void expandWall(int[][] scene, boolean[][] visited, int x, int y) { + if (visited[y][x]) { + return; + } + visited[y][x] = true; + // left side + if (x > 0) { + if (Tiles.isWall(scene[x - 1][y])) { + expandWall(scene, visited, x - 1, y); + } else { + walls.add(new Edge(originX + x * 16.0f, originY + y * 16.0f, + originX + x * 16.0f, originY + (y + 1) * 16.0f)); + } + } + // right side + if (x < scene.length - 1) { + if (Tiles.isWall(scene[x + 1][y])) { + expandWall(scene, visited, x + 1, y); + } else { + walls.add(new Edge(originX + (x + 1) * 16.0f, originY + y * 16.0f, + originX + (x + 1) * 16.0f, originY + (y + 1) * 16.0f)); + } + } + // top side + if (y > 0) { + if (Tiles.isWall(scene[x][y - 1])) { + expandWall(scene, visited, x, y - 1); + } else { + floors.add(new Edge(originX + x * 16.0f, originY + y * 16.0f, + originX + (x + 1) * 16.0f, originY + y * 16.0f)); + } + } + // bottom side + if (y < scene[x].length - 1) { + if (Tiles.isWall(scene[x][y + 1])) { + expandWall(scene, visited, x, y + 1); + } else { + ceilings.add(new Edge(originX + x * 16.0f, originY + (y + 1) * 16.0f, + originX + (x + 1) * 16.0f, originY + (y + 1) * 16.0f)); + } + } + coalesce(); + } + + // Expand ledge + private void expandLedge(int[][] scene, boolean[][] visited, int x, int y) { + if (visited[y][x]) { + return; + } + visited[y][x] = true; + int startx = x; + int endx = x; + // Find left side of ledge + while (startx > 0 && scene[startx - 1][y] == Tiles.JUMPTHROUGH) { + startx--; + visited[y][startx] = true; + } + // Find right side of ledge + while (endx < scene.length - 1 && scene[endx + 1][y] == Tiles.JUMPTHROUGH) { + endx++; + visited[y][endx] = true; + } + floors.add(new Edge(originX + startx * 16.0f, originY + y * 16.0f, + originX + (endx + 1) * 16.0f, originY + y * 16.0f)); + } + + // Coalesce adjacent edges of the same type into one + private void coalesce() { + // TODO + // Note: should I have a contiguous ceiling, or break it up for + // each special? + coalesce(walls); + coalesce(ceilings); + coalesce(floors); + coalesce(enemyEmitters); + // NOTE: bumpables shouldn't be coalesced. + } + + private void coalesce(ArrayList edges) { + // Super stupid way for now. + // TODO: optimize. Without coalesce, everything runs in about + // 60 microseconds max. With coalesce, times get up to around 6 + // milliseconds. That's a large chunk of the allotted 40 ms to + // be wasting on this. + boolean foundOne = true; + while (foundOne) { + foundOne = false; + for (Edge a : edges) { + for (Edge b : edges) { + if (a == b) { + continue; + } + foundOne = true; + if (a.x1 == b.x1 && a.y1 == b.y1) { + // Overlapping? Something is wrong... + throw new RuntimeException("Overlapping edges!"); + } else if (a.x1 == b.x2 && a.y1 == b.y2) { + a.x1 = b.x1; + a.y1 = b.y1; + } else if (a.x2 == b.x1 && a.y2 == b.y1) { + a.x2 = b.x2; + a.y2 = b.y2; + } else { + foundOne = false; + } + + if (foundOne) { + edges.remove(b); + break; + } + } + if (foundOne) { + break; + } + } + } + } + + // Add the edges in the subscene to this scene + private void add(Scene subscene) { + floors.addAll(subscene.floors); + walls.addAll(subscene.walls); + ceilings.addAll(subscene.ceilings); + bumpables.addAll(subscene.bumpables); + enemyEmitters.addAll(subscene.enemyEmitters); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Tiles.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Tiles.java new file mode 100644 index 00000000..7d3b96d5 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/spencerSchumann/Tiles.java @@ -0,0 +1,163 @@ +package agents.spencerSchumann; + +import java.util.ArrayList; + +import engine.core.MarioForwardModel; + +/** + * @author Spencer Schumann + */ +public class Tiles { + + public static final byte EMPTY = 0; + public static final byte SOLID = 1; + public static final byte JUMPTHROUGH = 2; + public static final byte BRICK = 5; + public static final byte QUESTION = 6; + public static final byte COIN = 7; + public static final byte UNKNOWN = -1; + + public static boolean isWall(int tile) { + switch (tile) { + case SOLID: + case BRICK: + case QUESTION: + return true; + default: + return false; + } + } + + private class Column { + + public int startRow = 0; + int[] tiles = null; + + public void setTile(int y, int tile) { + if (tiles == null) { + tiles = new int[1]; + tiles[0] = tile; + startRow = y; + } else { + if (startRow > y) { + int expansion = startRow - y; + int[] newTiles = new int[tiles.length + expansion]; + System.arraycopy(tiles, 0, newTiles, expansion, tiles.length); + int i; + for (i = 0; i < startRow; i++) { + newTiles[i] = UNKNOWN; + } + tiles = newTiles; + startRow = y; + } else if (y >= startRow + tiles.length) { + int expansion = y - startRow - tiles.length + 1; + int[] newTiles = new int[tiles.length + expansion]; + System.arraycopy(tiles, 0, newTiles, 0, tiles.length); + int i; + for (i = tiles.length; i < newTiles.length; i++) { + newTiles[i] = UNKNOWN; + } + tiles = newTiles; + } + tiles[y - startRow] = tile; + } + } + + public int getTile(int y) { + if (y < startRow || y >= startRow + tiles.length) { + return UNKNOWN; + } else { + return tiles[y - startRow]; + } + } + } + + ArrayList columns; + + public Tiles() { + columns = new ArrayList(); + } + + private void setTile(int x, int y, int tile) { + if (x < 0) { + return; + } + while (x >= columns.size()) { + columns.add(null); + } + Column c = columns.get(x); + if (c == null) { + c = new Column(); + columns.set(x, c); + } + c.setTile(y, tile); + } + + public int getTile(int x, int y) { + if (x < 0) { + return EMPTY; + } else if (x >= columns.size()) { + return UNKNOWN; + } + Column c = columns.get(x); + if (c == null) { + return UNKNOWN; + } else { + return c.getTile(y); + } + } + + public int[][] getScene(int x, int y, int width, int height) { + int[][] scene = new int[height][width]; + int row, col; + for (row = 0; row < height; row++) { + for (col = 0; col < width; col++) { + scene[row][col] = getTile(col + x, row + y); + } + } + return scene; + } + + public void addObservation(MarioForwardModel model) { + int[][] scene = model.getMarioSceneObservation(); + + float[] marioPos = model.getMarioFloatPos(); + int offsetX = (int) (marioPos[0] / 16.0f); + int offsetY = (int) (marioPos[1] / 16.0f); + offsetX -= model.obsGridWidth / 2; + offsetY -= model.obsGridHeight / 2; + + int x, y; + for (x = 0; x < scene.length; x++) { + for (y = 0; y < scene[x].length; y++) { + int tile = scene[x][y]; + switch (tile) { + case 0: // nothing + tile = EMPTY; + break; + case 17: + tile = SOLID; + break; + case 23: // Brick + tile = BRICK; + break; + case 24: // Question + tile = QUESTION; + break; + case 31: // coin + tile = COIN; + break; + case 59: // Ledge + tile = JUMPTHROUGH; + break; + default: + tile = UNKNOWN; + break; + } + if (tile != UNKNOWN) { + setTile(x + offsetX, y + offsetY, tile); + } + } + } + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/trondEllingsen/Agent.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/trondEllingsen/Agent.java new file mode 100644 index 00000000..359162cb --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/agents/trondEllingsen/Agent.java @@ -0,0 +1,108 @@ +package agents.trondEllingsen; + +import engine.core.MarioAgent; +import engine.core.MarioForwardModel; +import engine.core.MarioTimer; +import engine.helper.MarioActions; + +public class Agent implements MarioAgent { + private enum JumpType { + ENEMY, GAP, WALL, NONE + } + + private class Rectangle { + private float x, y, width, height; + + public Rectangle(float x, float y, float width, float height) { + this.x = x; + this.y = y; + this.width = width; + this.height = height; + } + + public boolean contains(float x, float y) { + return x >= this.x && y >= this.y && x <= this.x + this.width && y <= this.y + this.height; + } + } + + private JumpType jumpType = JumpType.NONE; + private int jumpCount = 0, jumpSize = -1; + private float prevY = 0; + private boolean[] action; + + @Override + public void initialize(MarioForwardModel model, MarioTimer timer) { + action = new boolean[MarioActions.numberOfActions()]; + action[MarioActions.RIGHT.getValue()] = true; + action[MarioActions.SPEED.getValue()] = true; + } + + private int getWallHeight(int tileX, int tileY, int[][] levelScene) { + int y = tileY + 1, wallHeight = 0; + while (y-- > 0 && levelScene[tileX + 1][y] != 0) { + wallHeight++; + } + return wallHeight; + } + + private boolean dangerOfGap(int tileX, int tileY, int[][] levelScene) { + for (int y = tileY + 1; y < levelScene[0].length; y++) { + if (levelScene[tileX + 1][y] != 0) { + return false; + } + } + return true; + } + + private boolean enemyInRange(MarioForwardModel e, Rectangle r) { + for (int i = 0; i < e.getEnemiesFloatPos().length; i += 3) { + if (r.contains(e.getEnemiesFloatPos()[i + 1] - e.getMarioFloatPos()[0], + e.getMarioFloatPos()[1] - e.getEnemiesFloatPos()[i + 2])) { + return true; + } + } + return false; + } + + private final void setJump(final JumpType type, final int size) { + jumpType = type; + jumpSize = size; + jumpCount = 0; + } + + @Override + public boolean[] getActions(MarioForwardModel model, MarioTimer timer) { + final float marioSpeed = model.getMarioFloatVelocity()[0]; + final boolean dangerOfEnemy = enemyInRange(model, new Rectangle(-13, -57, 105, 87)); + final boolean dangerOfEnemyAbove = enemyInRange(model, new Rectangle(-28, 28, 58, 45)); + final boolean dangerOfGap = dangerOfGap(model.getMarioScreenTilePos()[0], model.getMarioScreenTilePos()[1], + model.getScreenSceneObservation()); + if ((model.isMarioOnGround() || model.mayMarioJump()) && !jumpType.equals(JumpType.NONE)) { + setJump(JumpType.NONE, -1); + } else if (model.mayMarioJump()) { + final int wallHeight = getWallHeight(model.getMarioScreenTilePos()[0], model.getMarioScreenTilePos()[1], + model.getScreenSceneObservation()); + if (dangerOfGap && marioSpeed > 0) { + setJump(JumpType.GAP, marioSpeed < 6 ? (int) (9 - marioSpeed) : 1); + } else if (marioSpeed <= 1 && !dangerOfEnemyAbove && wallHeight > 0) { + setJump(JumpType.WALL, wallHeight >= 4 ? wallHeight + 3 : wallHeight); + } else if (dangerOfEnemy && !(dangerOfEnemyAbove && marioSpeed > 2)) { + setJump(JumpType.ENEMY, 7); + } + } else { + jumpCount++; + } + final boolean isFalling = prevY < model.getMarioFloatPos()[1] && jumpType.equals(JumpType.NONE); + action[MarioActions.LEFT.getValue()] = isFalling && ((dangerOfEnemy && dangerOfEnemyAbove) || dangerOfGap); + action[MarioActions.RIGHT.getValue()] = !isFalling && !(dangerOfEnemyAbove && jumpType == JumpType.WALL); + action[MarioActions.JUMP.getValue()] = !jumpType.equals(JumpType.NONE) && jumpCount < jumpSize; + action[MarioActions.SPEED.getValue()] = !(jumpType.equals(JumpType.ENEMY) && action[MarioActions.SPEED.getValue()] && model.getMarioMode() == 2); + prevY = model.getMarioFloatPos()[1]; + return action; + } + + @Override + public String getAgentName() { + return "TrondEllingsen"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/BrickEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/BrickEffect.java new file mode 100644 index 00000000..c79b215f --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/BrickEffect.java @@ -0,0 +1,20 @@ +package engine.effects; + +import java.awt.Graphics; + +import engine.core.MarioEffect; + +public class BrickEffect extends MarioEffect { + + public BrickEffect(float x, float y, float xv, float yv) { + super(x, y, xv, yv, 0, 3, 16, 10); + } + + @Override + public void render(Graphics og, float cameraX, float cameraY) { + this.graphics.index = this.startingIndex + this.life % 4; + this.ya *= 0.95f; + super.render(og, cameraX, cameraY); + } + +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/CoinEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/CoinEffect.java new file mode 100644 index 00000000..13ad568f --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/CoinEffect.java @@ -0,0 +1,17 @@ +package engine.effects; + +import java.awt.Graphics; + +import engine.core.MarioEffect; + +public class CoinEffect extends MarioEffect { + public CoinEffect(float x, float y) { + super(x, y, 0, -8f, 0, 1, 0, 16); + } + + @Override + public void render(Graphics og, float cameraX, float cameraY) { + this.graphics.index = this.startingIndex + this.life & 3; + super.render(og, cameraX, cameraY); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DeathEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DeathEffect.java new file mode 100644 index 00000000..36669e8f --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DeathEffect.java @@ -0,0 +1,10 @@ +package engine.effects; + +import engine.core.MarioEffect; + +public class DeathEffect extends MarioEffect { + public DeathEffect(float x, float y, boolean flipX, int startIndex, float yv) { + super(x, y, 0, yv, 0, 1f, startIndex, 30); + this.graphics.flipX = flipX; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DustEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DustEffect.java new file mode 100644 index 00000000..eca93c59 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/DustEffect.java @@ -0,0 +1,21 @@ +package engine.effects; + +import java.awt.Graphics; + +import engine.core.MarioEffect; + +public class DustEffect extends MarioEffect { + public DustEffect(float x, float y) { + super(x, y, (float) (Math.random() * 2 - 1), (float) Math.random() * -1, 0, 0, 8 + (int) (Math.random() * 2), 10 + (int) (Math.random() * 5)); + } + + @Override + public void render(Graphics og, float cameraX, float cameraY) { + if (this.life > 10) { + this.graphics.index = 7; + } else { + this.graphics.index = this.startingIndex + (10 - life) * 4 / 10; + } + super.render(og, cameraX, cameraY); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/FireballEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/FireballEffect.java new file mode 100644 index 00000000..b25822c3 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/FireballEffect.java @@ -0,0 +1,17 @@ +package engine.effects; + +import java.awt.Graphics; + +import engine.core.MarioEffect; + +public class FireballEffect extends MarioEffect { + public FireballEffect(float x, float y) { + super(x, y, 0, 0, 0, 0, 32, 8); + } + + @Override + public void render(Graphics og, float cameraX, float cameraY) { + this.graphics.index = this.startingIndex + (8 - this.life); + super.render(og, cameraX, cameraY); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/SquishEffect.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/SquishEffect.java new file mode 100644 index 00000000..c84e281d --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/effects/SquishEffect.java @@ -0,0 +1,9 @@ +package engine.effects; + +import engine.core.MarioEffect; + +public class SquishEffect extends MarioEffect { + public SquishEffect(float x, float y) { + super(x, y, 0, 0, 0, 0, 40, 8); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioBackground.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioBackground.java new file mode 100644 index 00000000..aefb824b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioBackground.java @@ -0,0 +1,51 @@ +package engine.graphics; + +import java.awt.AlphaComposite; +import java.awt.Color; +import java.awt.Graphics; +import java.awt.Graphics2D; +import java.awt.GraphicsConfiguration; +import java.awt.Image; +import java.awt.Transparency; + +import engine.helper.Assets; + +public class MarioBackground extends MarioGraphics { + private Image image; + private Graphics2D g; + private int screenWidth; + + public MarioBackground(GraphicsConfiguration graphicsConfiguration, int screenWidth, int[][] indeces) { + super(); + this.width = indeces[0].length * 16; + this.height = indeces.length * 16; + this.screenWidth = screenWidth; + + image = graphicsConfiguration.createCompatibleImage(width, height, Transparency.BITMASK); + g = (Graphics2D) image.getGraphics(); + g.setComposite(AlphaComposite.Src); + + updateArea(indeces); + } + + private void updateArea(int[][] indeces) { + g.setBackground(new Color(0, 0, 0, 0)); + g.clearRect(0, 0, this.width, this.height); + for (int x = 0; x < indeces[0].length; x++) { + for (int y = 0; y < indeces.length; y++) { + int xTile = indeces[y][x] % 8; + int yTile = indeces[y][x] / 8; + g.drawImage(Assets.level[xTile][yTile], x * 16, y * 16, 16, 16, null); + } + } + } + + @Override + public void render(Graphics og, int x, int y) { + int xOff = x % this.width; + for (int i = -1; i < this.screenWidth / this.width + 1; i++) { + og.drawImage(image, -xOff + i * this.width, 0, null); + } + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioGraphics.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioGraphics.java new file mode 100644 index 00000000..f7139554 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioGraphics.java @@ -0,0 +1,21 @@ +package engine.graphics; + +import java.awt.Graphics; + +public abstract class MarioGraphics { + public boolean visible; + public float alpha; + public int originX, originY; + public boolean flipX, flipY; + public int width, height; + + public MarioGraphics() { + this.visible = true; + this.alpha = 1; + this.originX = this.originY = 0; + this.flipX = this.flipY = false; + this.width = this.height = 32; + } + + public abstract void render(Graphics og, int x, int y); +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioImage.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioImage.java new file mode 100644 index 00000000..b8cba9f2 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioImage.java @@ -0,0 +1,27 @@ +package engine.graphics; + +import java.awt.Graphics; +import java.awt.Image; + +public class MarioImage extends MarioGraphics { + public Image[][] sheet; + public int index; + + public MarioImage(Image[][] sheet, int index) { + super(); + this.sheet = sheet; + this.index = index; + } + + @Override + public void render(Graphics og, int x, int y) { + if (!visible) return; + + int xPixel = x - originX; + int yPixel = y - originY; + Image image = this.sheet[index % sheet.length][index / sheet.length]; + + og.drawImage(image, xPixel + (flipX ? width : 0), yPixel + (flipY ? height : 0), flipX ? -width : width, flipY ? -height : height, null); + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioTilemap.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioTilemap.java new file mode 100644 index 00000000..5bf07b4a --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/graphics/MarioTilemap.java @@ -0,0 +1,61 @@ +package engine.graphics; + +import java.awt.Graphics; +import java.awt.Image; +import java.util.ArrayList; + +import engine.core.MarioGame; +import engine.helper.TileFeature; + +public class MarioTilemap extends MarioGraphics { + public Image[][] sheet; + public int[][] currentIndeces; + public int[][] indexShift; + public float[][] moveShift; + public int animationIndex; + + public MarioTilemap(Image[][] sheet, int[][] currentIndeces) { + this.sheet = sheet; + this.currentIndeces = currentIndeces; + this.indexShift = new int[currentIndeces.length][currentIndeces[0].length]; + this.moveShift = new float[currentIndeces.length][currentIndeces[0].length]; + this.animationIndex = 0; + } + + @Override + public void render(Graphics og, int x, int y) { + this.animationIndex = (this.animationIndex + 1) % 5; + + int xMin = (x / 16) - 1; + int yMin = (y / 16) - 1; + int xMax = (x + MarioGame.width) / 16 + 1; + int yMax = (y + MarioGame.height) / 16 + 1; + + for (int xTile = xMin; xTile <= xMax; xTile++) { + for (int yTile = yMin; yTile <= yMax; yTile++) { + if (xTile < 0 || yTile < 0 || xTile >= currentIndeces.length || yTile >= currentIndeces[0].length) { + continue; + } + if (this.moveShift[xTile][yTile] > 0) { + this.moveShift[xTile][yTile] -= 1; + if (this.moveShift[xTile][yTile] < 0) { + this.moveShift[xTile][yTile] = 0; + } + } + ArrayList features = TileFeature.getTileType(this.currentIndeces[xTile][yTile]); + if (features.contains(TileFeature.ANIMATED)) { + if (this.animationIndex == 0) { + this.indexShift[xTile][yTile] = (this.indexShift[xTile][yTile] + 1) % 3; + } + } else { + this.indexShift[xTile][yTile] = 0; + } + int index = currentIndeces[xTile][yTile] + indexShift[xTile][yTile]; + int move = (int) moveShift[xTile][yTile]; + Image img = sheet[index % 8][index / 8]; + og.drawImage(img, xTile * 16 - x, yTile * 16 - y - move, null); + } + } + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/Assets.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/Assets.java new file mode 100644 index 00000000..1def05aa --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/Assets.java @@ -0,0 +1,75 @@ +package engine.helper; + +import java.awt.AlphaComposite; +import java.awt.Graphics2D; +import java.awt.GraphicsConfiguration; +import java.awt.Image; +import java.awt.Transparency; +import java.awt.image.BufferedImage; +import java.io.IOException; +import java.io.InputStream; + +import javax.imageio.ImageIO; + +public class Assets { + public static Image[][] mario; + public static Image[][] smallMario; + public static Image[][] fireMario; + public static Image[][] enemies; + public static Image[][] items; + public static Image[][] level; + public static Image[][] particles; + public static Image[][] font; + public static Image[][] map; + + public static void init(GraphicsConfiguration gc) { + try { + mario = cutImage(gc, "img/mariosheet.png", 32, 32); + smallMario = cutImage(gc, "img/smallmariosheet.png", 16, 16); + fireMario = cutImage(gc, "img/firemariosheet.png", 32, 32); + enemies = cutImage(gc, "img/enemysheet.png", 16, 32); + items = cutImage(gc, "img/itemsheet.png", 16, 16); + level = cutImage(gc, "img/mapsheet.png", 16, 16); + particles = cutImage(gc, "img/particlesheet.png", 16, 16); + font = cutImage(gc, "img/font.gif", 8, 8); + } catch (Exception e) { + e.printStackTrace(); + } + + } + + private static Image getImage(GraphicsConfiguration gc, String imageName) throws IOException { + BufferedImage source = null; + try { + InputStream stream = ClassLoader.getSystemResourceAsStream(imageName); + source = ImageIO.read(stream); + } catch (Exception e) { + e.printStackTrace(); + } + Image image = gc.createCompatibleImage(source.getWidth(), source.getHeight(), Transparency.BITMASK); + Graphics2D g = (Graphics2D) image.getGraphics(); + g.setComposite(AlphaComposite.Src); + g.drawImage(source, 0, 0, null); + g.dispose(); + return image; + } + + private static Image[][] cutImage(GraphicsConfiguration gc, String imageName, int xSize, int ySize) + throws IOException { + Image source = getImage(gc, imageName); + Image[][] images = new Image[source.getWidth(null) / xSize][source.getHeight(null) / ySize]; + for (int x = 0; x < source.getWidth(null) / xSize; x++) { + for (int y = 0; y < source.getHeight(null) / ySize; y++) { + Image image = gc.createCompatibleImage(xSize, ySize, Transparency.BITMASK); + Graphics2D g = (Graphics2D) image.getGraphics(); + g.setComposite(AlphaComposite.Src); + g.drawImage(source, -x * xSize, -y * ySize, null); + g.dispose(); + images[x][y] = image; + } + } + + return images; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/EventType.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/EventType.java new file mode 100644 index 00000000..38ffcc37 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/EventType.java @@ -0,0 +1,26 @@ +package engine.helper; + +public enum EventType { + BUMP(1), + STOMP_KILL(2), + FIRE_KILL(3), + SHELL_KILL(4), + FALL_KILL(5), + JUMP(6), + LAND(7), + COLLECT(8), + HURT(9), + KICK(10), + LOSE(11), + WIN(12); + + private int value; + + EventType(int newValue) { + value = newValue; + } + + public int getValue() { + return value; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/GameStatus.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/GameStatus.java new file mode 100644 index 00000000..27cfa8e5 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/GameStatus.java @@ -0,0 +1,8 @@ +package engine.helper; + +public enum GameStatus { + RUNNING, + WIN, + LOSE, + TIME_OUT +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/MarioActions.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/MarioActions.java new file mode 100644 index 00000000..0e4830da --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/MarioActions.java @@ -0,0 +1,33 @@ +package engine.helper; + +public enum MarioActions { + LEFT(0, "Left"), + RIGHT(1, "Right"), + DOWN(2, "Down"), + SPEED(3, "Speed"), + JUMP(4, "Jump"); + + private int value; + private String name; + + MarioActions(int newValue, String newName) { + value = newValue; + name = newName; + } + + public int getValue() { + return value; + } + + public String getString() { + return name; + } + + public static int numberOfActions() { + return MarioActions.values().length; + } + + public static MarioActions getAction(int value) { + return MarioActions.values()[value]; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/SpriteType.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/SpriteType.java new file mode 100644 index 00000000..dc43c83d --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/SpriteType.java @@ -0,0 +1,54 @@ +package engine.helper; + +import engine.core.MarioSprite; +import engine.sprites.Enemy; +import engine.sprites.FlowerEnemy; + +public enum SpriteType { + //Generic values + NONE(0), + UNDEF(-42), + MARIO(-31), + FIREBALL(16), + GOOMBA(2, 16), + GOOMBA_WINGED(3, 16), + RED_KOOPA(4, 0), + RED_KOOPA_WINGED(5, 0), + GREEN_KOOPA(6, 8), + GREEN_KOOPA_WINGED(7, 8), + SPIKY(8, 24), + SPIKY_WINGED(9, 24), + BULLET_BILL(10, 40), + ENEMY_FLOWER(11, 48), + MUSHROOM(12), + FIRE_FLOWER(13), + SHELL(14), + LIFE_MUSHROOM(15); + + private int value; + private int startIndex; + + SpriteType(int newValue) { + value = newValue; + } + + SpriteType(int newValue, int newIndex) { + value = newValue; + startIndex = newIndex; + } + + public int getValue() { + return value; + } + + public int getStartIndex() { + return startIndex; + } + + public MarioSprite spawnSprite(boolean visuals, int xTile, int yTile, int dir) { + if (this == SpriteType.ENEMY_FLOWER) { + return new FlowerEnemy(visuals, xTile * 16 + 17, yTile * 16 + 18); + } + return new Enemy(visuals, xTile * 16 + 8, yTile * 16 + 15, dir, this); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/TileFeature.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/TileFeature.java new file mode 100644 index 00000000..414f55d1 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/helper/TileFeature.java @@ -0,0 +1,88 @@ +package engine.helper; + +import java.util.ArrayList; + +public enum TileFeature { + BLOCK_UPPER, + BLOCK_ALL, + BLOCK_LOWER, + SPECIAL, + LIFE, + BUMPABLE, + BREAKABLE, + PICKABLE, + ANIMATED, + SPAWNER; + + public static ArrayList getTileType(int index) { + ArrayList features = new ArrayList<>(); + switch (index) { + case 1: + case 2: + case 14: + case 18: + case 19: + case 20: + case 21: + case 4: + case 5: + case 52: + case 53: + features.add(TileFeature.BLOCK_ALL); + break; + case 43: + case 44: + case 45: + case 46: + features.add(TileFeature.BLOCK_LOWER); + break; + case 48: + features.add(TileFeature.BLOCK_UPPER); + features.add(TileFeature.LIFE); + features.add(TileFeature.BUMPABLE); + break; + case 49: + features.add(TileFeature.BUMPABLE); + features.add(TileFeature.BLOCK_UPPER); + break; + case 3: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.SPAWNER); + break; + case 8: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.SPECIAL); + features.add(TileFeature.BUMPABLE); + features.add(TileFeature.ANIMATED); + break; + case 11: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.BUMPABLE); + features.add(TileFeature.ANIMATED); + break; + case 6: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.BREAKABLE); + break; + case 7: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.BUMPABLE); + break; + case 15: + features.add(TileFeature.PICKABLE); + features.add(TileFeature.ANIMATED); + break; + case 50: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.SPECIAL); + features.add(TileFeature.BUMPABLE); + break; + case 51: + features.add(TileFeature.BLOCK_ALL); + features.add(TileFeature.LIFE); + features.add(TileFeature.BUMPABLE); + break; + } + return features; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/BulletBill.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/BulletBill.java new file mode 100644 index 00000000..26c63ee0 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/BulletBill.java @@ -0,0 +1,123 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.effects.DeathEffect; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class BulletBill extends MarioSprite { + private MarioImage graphics; + + public BulletBill(boolean visuals, float x, float y, int dir) { + super(x, y, SpriteType.BULLET_BILL); + this.width = 4; + this.height = 12; + this.ya = -5; + this.facing = dir; + + if (visuals) { + this.graphics = new MarioImage(Assets.enemies, 40); + this.graphics.originX = 8; + this.graphics.originY = 31; + this.graphics.width = 16; + } + } + + @Override + public MarioSprite clone() { + BulletBill sprite = new BulletBill(false, x, y, this.facing); + sprite.xa = this.xa; + sprite.ya = this.ya; + sprite.width = this.width; + sprite.height = this.height; + return sprite; + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + super.update(); + float sideWaysSpeed = 4f; + xa = facing * sideWaysSpeed; + move(xa, 0); + if (this.graphics != null) { + this.graphics.flipX = facing == -1; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } + + public void collideCheck() { + if (!this.alive) { + return; + } + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height && yMarioD < world.mario.height) { + if (world.mario.ya > 0 && yMarioD <= 0 && (!world.mario.onGround || !world.mario.wasOnGround)) { + world.mario.stomp(this); + if (this.graphics != null) { + this.world.addEffect(new DeathEffect(this.x, this.y - 7, this.graphics.flipX, 43, 0)); + } + this.world.removeSprite(this); + } else { + this.world.addEvent(EventType.HURT, this.type.getValue()); + world.mario.getHurt(); + } + } + } + } + + private boolean move(float xa, float ya) { + x += xa; + return true; + } + + public boolean fireballCollideCheck(Fireball fireball) { + if (!this.alive) { + return false; + } + + float xD = fireball.x - x; + float yD = fireball.y - y; + + if (xD > -16 && xD < 16) { + return yD > -height && yD < fireball.height; + } + return false; + } + + public boolean shellCollideCheck(Shell shell) { + if (!this.alive) { + return false; + } + + float xD = shell.x - x; + float yD = shell.y - y; + + if (xD > -16 && xD < 16) { + if (yD > -height && yD < shell.height) { + if (this.graphics != null) { + this.world.addEffect(new DeathEffect(this.x, this.y - 7, this.graphics.flipX, 43, -1)); + } + this.world.addEvent(EventType.SHELL_KILL, this.type.getValue()); + this.world.removeSprite(this); + return true; + } + } + return false; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Enemy.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Enemy.java new file mode 100644 index 00000000..d887a7cb --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Enemy.java @@ -0,0 +1,384 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.effects.DeathEffect; +import engine.effects.SquishEffect; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class Enemy extends MarioSprite { + private static final float GROUND_INERTIA = 0.89f; + private static final float AIR_INERTIA = 0.89f; + + protected boolean onGround = false; + protected boolean avoidCliffs = true; + protected boolean winged = true; + protected boolean noFireballDeath; + + protected float runTime; + protected int wingTime = 0; + protected MarioImage wingGraphics; + protected MarioImage graphics; + + public Enemy(boolean visuals, float x, float y, int dir, SpriteType type) { + super(x, y, type); + this.width = 4; + this.height = 24; + if (this.type != SpriteType.RED_KOOPA && this.type != SpriteType.GREEN_KOOPA + && this.type != SpriteType.RED_KOOPA_WINGED && this.type != SpriteType.GREEN_KOOPA_WINGED) { + this.height = 12; + } + this.winged = this.type.getValue() % 2 == 1; + this.avoidCliffs = this.type == SpriteType.RED_KOOPA || this.type == SpriteType.RED_KOOPA_WINGED; + this.noFireballDeath = this.type == SpriteType.SPIKY || this.type == SpriteType.SPIKY_WINGED; + this.facing = dir; + if (this.facing == 0) { + this.facing = 1; + } + + if (visuals) { + this.graphics = new MarioImage(Assets.enemies, this.type.getStartIndex()); + this.graphics.originX = 8; + this.graphics.originY = 31; + this.graphics.width = 16; + + this.wingGraphics = new MarioImage(Assets.enemies, 32); + this.wingGraphics.originX = 16; + this.wingGraphics.originY = 31; + this.wingGraphics.width = 16; + } + } + + @Override + public MarioSprite clone() { + Enemy e = new Enemy(false, this.x, this.y, this.facing, this.type); + e.xa = this.xa; + e.ya = this.ya; + e.initialCode = this.initialCode; + e.width = this.width; + e.height = this.height; + e.onGround = this.onGround; + e.winged = this.winged; + e.avoidCliffs = this.avoidCliffs; + e.noFireballDeath = this.noFireballDeath; + return e; + } + + public void collideCheck() { + if (!this.alive) { + return; + } + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -width * 2 - 4 && xMarioD < width * 2 + 4) { + if (yMarioD > -height && yMarioD < world.mario.height) { + if (type != SpriteType.SPIKY && type != SpriteType.SPIKY_WINGED && type != SpriteType.ENEMY_FLOWER && + world.mario.ya > 0 && yMarioD <= 0 && (!world.mario.onGround || !world.mario.wasOnGround)) { + world.mario.stomp(this); + if (winged) { + winged = false; + ya = 0; + } else { + if (type == SpriteType.GREEN_KOOPA || type == SpriteType.GREEN_KOOPA_WINGED) { + this.world.addSprite(new Shell(this.graphics != null, x, y, 1, this.initialCode)); + } else if (type == SpriteType.RED_KOOPA || type == SpriteType.RED_KOOPA_WINGED) { + this.world.addSprite(new Shell(this.graphics != null, x, y, 0, this.initialCode)); + } else if (type == SpriteType.GOOMBA || type == SpriteType.GOOMBA_WINGED) { + if (this.graphics != null) { + this.world.addEffect(new SquishEffect(this.x, this.y - 7)); + } + } + this.world.addEvent(EventType.STOMP_KILL, this.type.getValue()); + this.world.removeSprite(this); + } + } else { + this.world.addEvent(EventType.HURT, this.type.getValue()); + world.mario.getHurt(); + } + } + } + } + + private void updateGraphics() { + wingTime++; + this.wingGraphics.index = 32 + wingTime / 4 % 2; + + this.graphics.flipX = this.facing == -1; + runTime += (Math.abs(xa)) + 5; + + int runFrame = ((int) (runTime / 20)) % 2; + + if (!onGround) { + runFrame = 1; + } + if (winged) + runFrame = wingTime / 4 % 2; + + this.graphics.index = this.type.getStartIndex() + runFrame; + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + float sideWaysSpeed = 1.75f; + + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + + xa = facing * sideWaysSpeed; + + if (!move(xa, 0)) + facing = -facing; + onGround = false; + move(0, ya); + + ya *= winged ? 0.95f : 0.85f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + if (winged) { + ya += 0.6f; + } else { + ya += 2; + } + } else if (winged) { + ya = -10; + } + + if (this.graphics != null) { + this.updateGraphics(); + } + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + + if (avoidCliffs && onGround + && !world.level.isBlocking((int) ((x + xa + width) / 16), (int) ((y) / 16 + 1), xa, 1)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + + if (avoidCliffs && onGround + && !world.level.isBlocking((int) ((x + xa - width) / 16), (int) ((y) / 16 + 1), xa, 1)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(x, y, xa, ya); + + return blocking; + } + + public boolean shellCollideCheck(Shell shell) { + if (!this.alive) { + return false; + } + + float xD = shell.x - x; + float yD = shell.y - y; + + if (xD > -16 && xD < 16) { + if (yD > -height && yD < shell.height) { + xa = shell.facing * 2; + ya = -5; + this.world.addEvent(EventType.SHELL_KILL, this.type.getValue()); + if (this.graphics != null) { + if (this.type == SpriteType.GREEN_KOOPA || this.type == SpriteType.GREEN_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 42, -5)); + } else if (this.type == SpriteType.RED_KOOPA || this.type == SpriteType.RED_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 41, -5)); + } else if (this.type == SpriteType.GOOMBA || this.type == SpriteType.GOOMBA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 44, -5)); + } else if (this.type == SpriteType.SPIKY || this.type == SpriteType.SPIKY_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 45, -5)); + } + } + this.world.removeSprite(this); + return true; + } + } + return false; + } + + public boolean fireballCollideCheck(Fireball fireball) { + if (!this.alive) { + return false; + } + + float xD = fireball.x - x; + float yD = fireball.y - y; + + if (xD > -16 && xD < 16) { + if (yD > -height && yD < fireball.height) { + if (noFireballDeath) + return true; + + xa = fireball.facing * 2; + ya = -5; + this.world.addEvent(EventType.FIRE_KILL, this.type.getValue()); + if (this.graphics != null) { + if (this.type == SpriteType.GREEN_KOOPA || this.type == SpriteType.GREEN_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 42, -5)); + } else if (this.type == SpriteType.RED_KOOPA || this.type == SpriteType.RED_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 41, -5)); + } else if (this.type == SpriteType.GOOMBA || this.type == SpriteType.GOOMBA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 44, -5)); + } + } + this.world.removeSprite(this); + return true; + } + } + return false; + } + + public void bumpCheck(int xTile, int yTile) { + if (!this.alive) { + return; + } + + if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) ((y - 1) / 16)) { + xa = -world.mario.facing * 2; + ya = -5; + if (this.graphics != null) { + if (this.type == SpriteType.GREEN_KOOPA || this.type == SpriteType.GREEN_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 42, -5)); + } else if (this.type == SpriteType.RED_KOOPA || this.type == SpriteType.RED_KOOPA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 41, -5)); + } else if (this.type == SpriteType.GOOMBA || this.type == SpriteType.GOOMBA_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 44, -5)); + } else if (this.type == SpriteType.SPIKY || this.type == SpriteType.SPIKY_WINGED) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 45, -5)); + } + } + this.world.removeSprite(this); + } + } + + @Override + public void render(Graphics og) { + if (winged) { + if (type != SpriteType.RED_KOOPA && type != SpriteType.GREEN_KOOPA && type != SpriteType.RED_KOOPA_WINGED + && type != SpriteType.GREEN_KOOPA_WINGED) { + this.wingGraphics.flipX = false; + this.wingGraphics.render(og, (int) (this.x - this.world.cameraX - 6), (int) (this.y - this.world.cameraY - 6)); + this.wingGraphics.flipX = true; + this.wingGraphics.render(og, (int) (this.x - this.world.cameraX + 22), (int) (this.y - this.world.cameraY - 6)); + } + } + + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + + if (winged) { + if (type == SpriteType.RED_KOOPA || type == SpriteType.GREEN_KOOPA || type == SpriteType.RED_KOOPA_WINGED + || type == SpriteType.GREEN_KOOPA_WINGED) { + int shiftX = -1; + if (this.graphics.flipX) { + shiftX = 17; + } + this.wingGraphics.flipX = this.graphics.flipX; + this.wingGraphics.render(og, (int) (this.x - this.world.cameraX + shiftX), (int) (this.y - this.world.cameraY - 8)); + } + } + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FireFlower.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FireFlower.java new file mode 100644 index 00000000..6cce94ec --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FireFlower.java @@ -0,0 +1,82 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class FireFlower extends MarioSprite { + private MarioImage graphics; + private int life; + + public FireFlower(boolean visuals, float x, float y) { + super(x, y, SpriteType.FIRE_FLOWER); + this.width = 4; + this.height = 12; + this.facing = 1; + this.life = 0; + if (visuals) { + this.graphics = new MarioImage(Assets.items, 1); + this.graphics.originX = 8; + this.graphics.originY = 15; + this.graphics.width = 16; + this.graphics.height = 16; + } + } + + @Override + public MarioSprite clone() { + FireFlower f = new FireFlower(false, x, y); + f.xa = this.xa; + f.ya = this.ya; + f.initialCode = this.initialCode; + f.width = this.width; + f.height = this.height; + f.facing = this.facing; + f.life = this.life; + return f; + } + + @Override + public void collideCheck() { + if (!this.alive) { + return; + } + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height && yMarioD < world.mario.height) { + world.addEvent(EventType.COLLECT, this.type.getValue()); + world.mario.getFlower(); + world.removeSprite(this); + } + } + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + super.update(); + life++; + if (life < 9) { + this.y--; + return; + } + if (this.graphics != null) { + this.graphics.index = 1 + (this.life / 2) % 2; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Fireball.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Fireball.java new file mode 100644 index 00000000..52edb096 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Fireball.java @@ -0,0 +1,193 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.SpriteType; + +public class Fireball extends MarioSprite { + + private static final float GROUND_INERTIA = 0.89f; + private static final float AIR_INERTIA = 0.89f; + + private boolean onGround = false; + private MarioImage graphics; + private int anim = 0; + + public Fireball(boolean visuals, float x, float y, int facing) { + super(x, y, SpriteType.FIREBALL); + this.facing = facing; + this.ya = 4; + this.width = 4; + this.height = 8; + + if (visuals) { + this.graphics = new MarioImage(Assets.particles, 24); + this.graphics.originX = 8; + this.graphics.originY = 8; + this.graphics.width = 16; + this.graphics.height = 16; + } + } + + @Override + public MarioSprite clone() { + Fireball f = new Fireball(false, this.x, this.y, this.facing); + f.xa = this.xa; + f.ya = this.ya; + f.initialCode = this.initialCode; + f.width = this.width; + f.height = this.height; + f.onGround = this.onGround; + return f; + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(x, y, xa, ya); + + return blocking; + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + if (facing != 0) + anim++; + + float sideWaysSpeed = 8f; + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + xa = facing * sideWaysSpeed; + + world.checkFireballCollide(this); + + if (!move(xa, 0)) { + this.world.removeSprite(this); + return; + } + + onGround = false; + move(0, ya); + if (onGround) + ya = -10; + + ya *= 0.95f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + ya += 1.5; + } + + if (this.graphics != null) { + this.graphics.flipX = facing == -1; + this.graphics.index = 24 + anim % 4; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FlowerEnemy.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FlowerEnemy.java new file mode 100644 index 00000000..0304f1cb --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/FlowerEnemy.java @@ -0,0 +1,78 @@ +package engine.sprites; + +import engine.core.MarioSprite; +import engine.helper.SpriteType; + +public class FlowerEnemy extends Enemy { + private float yStart; + private int tick, waitTime; + + public FlowerEnemy(boolean visuals, float x, float y) { + super(visuals, x, y, 0, SpriteType.ENEMY_FLOWER); + this.winged = false; + this.noFireballDeath = false; + this.width = 2; + this.yStart = this.y; + this.ya = -1; + this.y -= 1; + for (int i = 0; i < 4; i++) { + this.update(); + } + + if (visuals) { + this.graphics.originY = 24; + this.tick = 0; + } + } + + @Override + public MarioSprite clone() { + FlowerEnemy sprite = new FlowerEnemy(false, this.x, this.y); + sprite.xa = this.xa; + sprite.ya = this.ya; + sprite.initialCode = this.initialCode; + sprite.width = this.width; + sprite.height = this.height; + sprite.onGround = this.onGround; + sprite.winged = this.winged; + sprite.avoidCliffs = this.avoidCliffs; + sprite.noFireballDeath = this.noFireballDeath; + sprite.yStart = yStart; + sprite.waitTime = waitTime; + return sprite; + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + if (ya > 0) { + if (y >= yStart) { + y = yStart; + int xd = (int) (Math.abs(world.mario.x - x)); + waitTime++; + if (waitTime > 40 && xd > 24) { + waitTime = 0; + ya = -1; + } + } + } else if (ya < 0) { + if (yStart - y > 20) { + y = yStart - 20; + waitTime++; + if (waitTime > 40) { + waitTime = 0; + ya = 1; + } + } + } + y += ya; + + if (this.graphics != null) { + this.tick++; + this.graphics.index = this.type.getStartIndex() + ((tick / 2) & 1) * 2 + ((tick / 6) & 1); + } + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/LifeMushroom.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/LifeMushroom.java new file mode 100644 index 00000000..51974daf --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/LifeMushroom.java @@ -0,0 +1,213 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class LifeMushroom extends MarioSprite { + private boolean onGround = false; + private int life; + private MarioImage graphics; + + private static final float GROUND_INERTIA = 0.89f; + private static final float AIR_INERTIA = 0.89f; + + public LifeMushroom(boolean visuals, float x, float y) { + super(x, y, SpriteType.LIFE_MUSHROOM); + this.width = 4; + this.height = 12; + this.facing = 1; + this.life = 0; + + if (visuals) { + this.graphics = new MarioImage(Assets.items, 3); + this.graphics.width = 16; + this.graphics.height = 16; + this.graphics.originX = 8; + this.graphics.originY = 15; + } + } + + @Override + public MarioSprite clone() { + LifeMushroom m = new LifeMushroom(false, this.x, this.y); + m.xa = this.xa; + m.ya = this.ya; + m.initialCode = this.initialCode; + m.width = this.width; + m.height = this.height; + m.facing = this.facing; + m.life = this.life; + m.onGround = this.onGround; + return m; + } + + public void collideCheck() { + if (!this.alive) { + return; + } + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height && yMarioD < world.mario.height) { + world.addEvent(EventType.COLLECT, this.type.getValue()); + world.mario.collect1Up(); + world.removeSprite(this); + } + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(x, y, xa, ya); + return blocking; + } + + public void bumpCheck(int xTile, int yTile) { + if (!this.alive) { + return; + } + + if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) ((y - 1) / 16)) { + facing = -world.mario.facing; + ya = -10; + } + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + if (life < 9) { + y--; + life++; + return; + } + float sideWaysSpeed = 1.75f; + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + + xa = facing * sideWaysSpeed; + + if (!move(xa, 0)) + facing = -facing; + onGround = false; + move(0, ya); + + ya *= 0.85f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + ya += 2; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mario.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mario.java new file mode 100644 index 00000000..db78e381 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mario.java @@ -0,0 +1,510 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.MarioActions; +import engine.helper.SpriteType; +import engine.helper.TileFeature; + +public class Mario extends MarioSprite { + public boolean isLarge, isFire; + public boolean onGround, wasOnGround, isDucking, canShoot, mayJump; + public boolean[] actions = null; + public int jumpTime = 0; + + private float xJumpSpeed, yJumpSpeed = 0; + private int invulnerableTime = 0; + + private float marioFrameSpeed = 0; + private boolean oldLarge, oldFire = false; + private MarioImage graphics = null; + + // stats + private float xJumpStart = -100; + + private float GROUND_INERTIA = 0.89f; + private float AIR_INERTIA = 0.89f; + private final int POWERUP_TIME = 3; + + public Mario(boolean visuals, float x, float y) { + super(x + 8, y + 15, SpriteType.MARIO); + this.isLarge = this.oldLarge = false; + this.isFire = this.oldFire = false; + this.width = 4; + this.height = 24; + if (visuals) { + graphics = new MarioImage(Assets.smallMario, 0); + } + } + + public Mario(boolean visuals, float x, float y, float inertia) { + this(visuals, x, y); + this.AIR_INERTIA = inertia; + this.GROUND_INERTIA = inertia; + } + + @Override + public MarioSprite clone() { + Mario sprite = new Mario(false, x - 8, y - 15); + sprite.xa = this.xa; + sprite.ya = this.ya; + sprite.initialCode = this.initialCode; + sprite.width = this.width; + sprite.height = this.height; + sprite.facing = this.facing; + sprite.isLarge = isLarge; + sprite.isFire = isFire; + sprite.wasOnGround = wasOnGround; + sprite.onGround = onGround; + sprite.isDucking = isDucking; + sprite.canShoot = canShoot; + sprite.mayJump = mayJump; + sprite.actions = new boolean[this.actions.length]; + for (int i = 0; i < this.actions.length; i++) { + sprite.actions[i] = this.actions[i]; + } + sprite.xJumpSpeed = xJumpSpeed; + sprite.yJumpSpeed = yJumpSpeed; + sprite.invulnerableTime = invulnerableTime; + sprite.jumpTime = jumpTime; + sprite.xJumpStart = xJumpStart; + return sprite; + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + } + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + jumpTime = 0; + this.ya = 0; + } + if (ya > 0) { + y = (int) ((y - 1) / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int xTile = (int) (_x / 16); + int yTile = (int) (_y / 16); + if (xTile == (int) (this.x / 16) && yTile == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(xTile, yTile, xa, ya); + int block = world.level.getBlock(xTile, yTile); + + if (TileFeature.getTileType(block).contains(TileFeature.PICKABLE)) { + this.world.addEvent(EventType.COLLECT, block); + this.collectCoin(); + world.level.setBlock(xTile, yTile, 0); + } + if (blocking && ya < 0) { + world.bump(xTile, yTile, isLarge); + } + return blocking; + } + + public void updateGraphics() { + if (!this.alive) { + return; + } + + boolean currentLarge, currentFire; + if (this.world.pauseTimer > 0) { + currentLarge = (this.world.pauseTimer / 2) % 2 == 0 ? this.oldLarge : this.isLarge; + currentFire = (this.world.pauseTimer / 2) % 2 == 0 ? this.oldFire : this.isFire; + } else { + currentLarge = this.isLarge; + currentFire = this.isFire; + } + if (currentLarge) { + this.graphics.sheet = Assets.mario; + if (currentFire) { + this.graphics.sheet = Assets.fireMario; + } + + graphics.originX = 16; + graphics.originY = 31; + graphics.width = graphics.height = 32; + } else { + this.graphics.sheet = Assets.smallMario; + graphics.originX = 8; + graphics.originY = 15; + graphics.width = graphics.height = 16; + } + + this.marioFrameSpeed += Math.abs(xa) + 5; + if (Math.abs(xa) < 0.5f) { + this.marioFrameSpeed = 0; + } + + graphics.visible = ((invulnerableTime / 2) & 1) == 0; + graphics.flipX = facing == -1; + + int frameIndex = 0; + if (currentLarge) { + frameIndex = ((int) (marioFrameSpeed / 20)) % 4; + if (frameIndex == 3) + frameIndex = 1; + if (Math.abs(xa) > 10) + frameIndex += 3; + if (!onGround) { + if (Math.abs(xa) > 10) + frameIndex = 6; + else + frameIndex = 5; + } + } else { + frameIndex = ((int) (marioFrameSpeed / 20)) % 2; + if (Math.abs(xa) > 10) + frameIndex += 2; + if (!onGround) { + if (Math.abs(xa) > 10) + frameIndex = 5; + else + frameIndex = 4; + } + } + + if (onGround && ((facing == -1 && xa > 0) || (facing == 1 && xa < 0))) { + if (xa > 1 || xa < -1) + frameIndex = currentLarge ? 8 : 7; + } + + if (currentLarge && isDucking) { + frameIndex = 13; + } + + graphics.index = frameIndex; + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + if (invulnerableTime > 0) { + invulnerableTime--; + } + this.wasOnGround = this.onGround; + + float sideWaysSpeed = actions[MarioActions.SPEED.getValue()] ? 1.2f : 0.6f; + + if (onGround) { + isDucking = actions[MarioActions.DOWN.getValue()] && isLarge; + } + + if (isLarge) { + height = isDucking ? 12 : 24; + } else { + height = 12; + } + + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + + if (actions[MarioActions.JUMP.getValue()] || (jumpTime < 0 && !onGround)) { + if (jumpTime < 0) { + xa = xJumpSpeed; + ya = -jumpTime * yJumpSpeed; + jumpTime++; + } else if (onGround && mayJump) { + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 7; + ya = jumpTime * yJumpSpeed; + onGround = false; + if (!(isBlocking(x, y - 4 - height, 0, -4) || isBlocking(x - width, y - 4 - height, 0, -4) + || isBlocking(x + width, y - 4 - height, 0, -4))) { + this.xJumpStart = this.x; + this.world.addEvent(EventType.JUMP, 0); + } + } else if (jumpTime > 0) { + xa += xJumpSpeed; + ya = jumpTime * yJumpSpeed; + jumpTime--; + } + } else { + jumpTime = 0; + } + + if (actions[MarioActions.LEFT.getValue()] && !isDucking) { + xa -= sideWaysSpeed; + if (jumpTime >= 0) + facing = -1; + } + + if (actions[MarioActions.RIGHT.getValue()] && !isDucking) { + xa += sideWaysSpeed; + if (jumpTime >= 0) + facing = 1; + } + + if (actions[MarioActions.SPEED.getValue()] && canShoot && isFire && world.fireballsOnScreen < 2) { + world.addSprite(new Fireball(this.graphics != null, x + facing * 6, y - 20, facing)); + } + + canShoot = !actions[MarioActions.SPEED.getValue()]; + + mayJump = onGround && !actions[MarioActions.JUMP.getValue()]; + + if (Math.abs(xa) < 0.5f) { + xa = 0; + } + + onGround = false; + move(xa, 0); + move(0, ya); + if (!wasOnGround && onGround && this.xJumpStart >= 0) { + this.world.addEvent(EventType.LAND, 0); + this.xJumpStart = -100; + } + + if (x < 0) { + x = 0; + xa = 0; + } + + if (x > world.level.exitTileX * 16) { + x = world.level.exitTileX * 16; + xa = 0; + this.world.win(); + } + + ya *= 0.85f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + ya += 3; + } + + if (this.graphics != null) { + this.updateGraphics(); + } + } + + public void stomp(Enemy enemy) { + if (!this.alive) { + return; + } + float targetY = enemy.y - enemy.height / 2; + move(0, targetY - y); + + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 8; + ya = jumpTime * yJumpSpeed; + onGround = false; + invulnerableTime = 1; + } + + public void stomp(Shell shell) { + if (!this.alive) { + return; + } + float targetY = shell.y - shell.height / 2; + move(0, targetY - y); + + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 8; + ya = jumpTime * yJumpSpeed; + onGround = false; + invulnerableTime = 1; + } + + public void getHurt() { + if (invulnerableTime > 0 || !this.alive) + return; + + if (isLarge) { + world.pauseTimer = 3 * POWERUP_TIME; + this.oldLarge = this.isLarge; + this.oldFire = this.isFire; + if (isFire) { + this.isFire = false; + } else { + this.isLarge = false; + } + invulnerableTime = 32; + } else { + if (this.world != null) { + this.world.lose(); + } + } + } + + public void getFlower() { + if (!this.alive) { + return; + } + + if (!isFire) { + world.pauseTimer = 3 * POWERUP_TIME; + this.oldFire = this.isFire; + this.oldLarge = this.isLarge; + this.isFire = true; + this.isLarge = true; + } else { + this.collectCoin(); + } + } + + public void getMushroom() { + if (!this.alive) { + return; + } + + if (!isLarge) { + world.pauseTimer = 3 * POWERUP_TIME; + this.oldFire = this.isFire; + this.oldLarge = this.isLarge; + this.isLarge = true; + } else { + this.collectCoin(); + } + } + + public void kick(Shell shell) { + if (!this.alive) { + return; + } + + invulnerableTime = 1; + } + + public void stomp(BulletBill bill) { + if (!this.alive) { + return; + } + + float targetY = bill.y - bill.height / 2; + move(0, targetY - y); + + xJumpSpeed = 0; + yJumpSpeed = -1.9f; + jumpTime = 8; + ya = jumpTime * yJumpSpeed; + onGround = false; + invulnerableTime = 1; + } + + public String getMarioType() { + if (isFire) { + return "fire"; + } + if (isLarge) { + return "large"; + } + return "small"; + } + + public void collect1Up() { + if (!this.alive) { + return; + } + + this.world.lives++; + } + + public void collectCoin() { + if (!this.alive) { + return; + } + + this.world.coins++; + if (this.world.coins % 100 == 0) { + collect1Up(); + } + } + + @Override + public void render(Graphics og) { + super.render(og); + + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mushroom.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mushroom.java new file mode 100644 index 00000000..c42171aa --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Mushroom.java @@ -0,0 +1,213 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class Mushroom extends MarioSprite { + private boolean onGround = false; + private int life; + private MarioImage graphics; + + private static final float GROUND_INERTIA = 0.89f; + private static final float AIR_INERTIA = 0.89f; + + public Mushroom(boolean visuals, float x, float y) { + super(x, y, SpriteType.MUSHROOM); + this.width = 4; + this.height = 12; + this.facing = 1; + this.life = 0; + + if (visuals) { + this.graphics = new MarioImage(Assets.items, 0); + this.graphics.width = 16; + this.graphics.height = 16; + this.graphics.originX = 8; + this.graphics.originY = 15; + } + } + + @Override + public MarioSprite clone() { + Mushroom m = new Mushroom(false, this.x, this.y); + m.xa = this.xa; + m.ya = this.ya; + m.initialCode = this.initialCode; + m.width = this.width; + m.height = this.height; + m.facing = this.facing; + m.life = this.life; + m.onGround = this.onGround; + return m; + } + + public void collideCheck() { + if (!this.alive) { + return; + } + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height && yMarioD < world.mario.height) { + world.addEvent(EventType.COLLECT, this.type.getValue()); + world.mario.getMushroom(); + world.removeSprite(this); + } + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(x, y, xa, ya); + return blocking; + } + + public void bumpCheck(int xTile, int yTile) { + if (!this.alive) { + return; + } + + if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) ((y - 1) / 16)) { + facing = -world.mario.facing; + ya = -10; + } + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + @Override + public void update() { + if (!this.alive) { + return; + } + + if (life < 9) { + y--; + life++; + return; + } + float sideWaysSpeed = 1.75f; + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + + xa = facing * sideWaysSpeed; + + if (!move(xa, 0)) + facing = -facing; + onGround = false; + move(0, ya); + + ya *= 0.85f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + ya += 2; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Shell.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Shell.java new file mode 100644 index 00000000..50d6bdc3 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/engine/sprites/Shell.java @@ -0,0 +1,279 @@ +package engine.sprites; + +import java.awt.Graphics; + +import engine.core.MarioSprite; +import engine.effects.DeathEffect; +import engine.graphics.MarioImage; +import engine.helper.Assets; +import engine.helper.EventType; +import engine.helper.SpriteType; + +public class Shell extends MarioSprite { + private static final float GROUND_INERTIA = 0.89f; + private static final float AIR_INERTIA = 0.89f; + + private int shellType = 0; + private boolean onGround = false; + + private MarioImage graphics; + + public Shell(boolean visuals, float x, float y, int shellType, String spriteCode) { + super(x, y, SpriteType.SHELL); + + this.width = 4; + this.height = 12; + this.facing = 0; + this.ya = -5; + this.shellType = shellType; + this.initialCode = spriteCode; + + if (visuals) { + this.graphics = new MarioImage(Assets.enemies, shellType * 8 + 3); + this.graphics.originX = 8; + this.graphics.originY = 31; + this.graphics.width = 16; + } + } + + @Override + public MarioSprite clone() { + Shell sprite = new Shell(false, this.x, this.y, this.shellType, this.initialCode); + sprite.xa = this.xa; + sprite.ya = this.ya; + sprite.width = this.width; + sprite.height = this.height; + sprite.facing = this.facing; + sprite.onGround = this.onGround; + return sprite; + } + + @Override + public void update() { + if (!this.alive) return; + + super.update(); + + float sideWaysSpeed = 11f; + + if (xa > 2) { + facing = 1; + } + if (xa < -2) { + facing = -1; + } + + xa = facing * sideWaysSpeed; + + if (facing != 0) { + world.checkShellCollide(this); + } + + if (!move(xa, 0)) { + facing = -facing; + } + onGround = false; + move(0, ya); + + ya *= 0.85f; + if (onGround) { + xa *= GROUND_INERTIA; + } else { + xa *= AIR_INERTIA; + } + + if (!onGround) { + ya += 2; + } + + if (this.graphics != null) { + this.graphics.flipX = facing == -1; + } + } + + @Override + public void render(Graphics og) { + super.render(og); + this.graphics.render(og, (int) (this.x - this.world.cameraX), (int) (this.y - this.world.cameraY)); + } + + public boolean fireballCollideCheck(Fireball fireball) { + if (!this.alive) return false; + + float xD = fireball.x - x; + float yD = fireball.y - y; + + if (xD > -16 && xD < 16) { + if (yD > -height && yD < fireball.height) { + if (facing != 0) + return true; + + xa = fireball.facing * 2; + ya = -5; + if (this.graphics != null) { + this.world.addEffect(new DeathEffect(this.x, this.y, this.graphics.flipX, 41 + this.shellType, -5)); + } + this.world.removeSprite(this); + return true; + } + } + return false; + } + + public void collideCheck() { + if (!this.alive) return; + + float xMarioD = world.mario.x - x; + float yMarioD = world.mario.y - y; + if (xMarioD > -16 && xMarioD < 16) { + if (yMarioD > -height && yMarioD < world.mario.height) { + if (world.mario.ya > 0 && yMarioD <= 0 && (!world.mario.onGround || !world.mario.wasOnGround)) { + world.mario.stomp(this); + if (facing != 0) { + xa = 0; + facing = 0; + } else { + facing = world.mario.facing; + } + } else { + if (facing != 0) { + world.addEvent(EventType.HURT, this.type.getValue()); + world.mario.getHurt(); + } else { + world.addEvent(EventType.KICK, this.type.getValue()); + world.mario.kick(this); + facing = world.mario.facing; + } + } + } + } + } + + private boolean move(float xa, float ya) { + while (xa > 8) { + if (!move(8, 0)) + return false; + xa -= 8; + } + while (xa < -8) { + if (!move(-8, 0)) + return false; + xa += 8; + } + while (ya > 8) { + if (!move(0, 8)) + return false; + ya -= 8; + } + while (ya < -8) { + if (!move(0, -8)) + return false; + ya += 8; + } + + boolean collide = false; + if (ya > 0) { + if (isBlocking(x + xa - width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa + width, y + ya, xa, 0)) + collide = true; + else if (isBlocking(x + xa - width, y + ya + 1, xa, ya)) + collide = true; + else if (isBlocking(x + xa + width, y + ya + 1, xa, ya)) + collide = true; + } + if (ya < 0) { + if (isBlocking(x + xa, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + else if (collide || isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + } + if (xa > 0) { + if (isBlocking(x + xa + width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa + width, y + ya, xa, ya)) + collide = true; + + } + if (xa < 0) { + if (isBlocking(x + xa - width, y + ya - height, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya - height / 2, xa, ya)) + collide = true; + if (isBlocking(x + xa - width, y + ya, xa, ya)) + collide = true; + + } + + if (collide) { + if (xa < 0) { + x = (int) ((x - width) / 16) * 16 + width; + this.xa = 0; + } + if (xa > 0) { + x = (int) ((x + width) / 16 + 1) * 16 - width - 1; + this.xa = 0; + } + if (ya < 0) { + y = (int) ((y - height) / 16) * 16 + height; + this.ya = 0; + } + if (ya > 0) { + y = (int) (y / 16 + 1) * 16 - 1; + onGround = true; + } + return false; + } else { + x += xa; + y += ya; + return true; + } + } + + private boolean isBlocking(float _x, float _y, float xa, float ya) { + int x = (int) (_x / 16); + int y = (int) (_y / 16); + if (x == (int) (this.x / 16) && y == (int) (this.y / 16)) + return false; + + boolean blocking = world.level.isBlocking(x, y, xa, ya); + + if (blocking && ya == 0 && xa != 0) { + world.bump(x, y, true); + } + + return blocking; + } + + public void bumpCheck(int xTile, int yTile) { + if (!this.alive) return; + + if (x + width > xTile * 16 && x - width < xTile * 16 + 16 && yTile == (int) ((y - 1) / 16)) { + facing = -world.mario.facing; + ya = -10; + } + } + + public boolean shellCollideCheck(Shell shell) { + if (!this.alive) return false; + + float xD = shell.x - x; + float yD = shell.y - y; + + if (xD > -16 && xD < 16) { + if (yD > -height && yD < shell.height) { + this.world.addEvent(EventType.SHELL_KILL, this.type.getValue()); + if (this != shell) { + this.world.removeSprite(shell); + } + this.world.removeSprite(this); + return true; + } + } + return false; + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/benWeber/LevelGenerator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/benWeber/LevelGenerator.java new file mode 100644 index 00000000..ea76dd66 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/benWeber/LevelGenerator.java @@ -0,0 +1,317 @@ +package levelGenerators.benWeber; + +import java.util.ArrayList; +import java.util.Random; + +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioTimer; + +public class LevelGenerator implements MarioLevelGenerator { + private int maxGaps; + private int maxTurtles; + private int maxCoinBlocks; + + private double CHANCE_BLOCK_POWER_UP = 0.1; + private double CHANCE_BLOCK_COIN = 0.3; + private double CHANCE_BLOCK_ENEMY = 0.2; + private double CHANCE_WINGED = 0.5; + private double CHANCE_COIN = 0.2; + private double COIN_HEIGHT = 5; + private double CHANCE_PLATFORM = 0.1; + private double CHANCE_END_PLATFORM = 0.1; + private int PLATFORM_HEIGHT = 4; + private double CHANCE_ENEMY = 0.1; + private double CHANCE_PIPE = 0.1; + private int PIPE_MIN_HEIGHT = 2; + private double PIPE_HEIGHT = 3.0; + private int minX = 5; + private double CHANCE_HILL = 0.1; + private double CHANCE_END_HILL = 0.3; + private double CHANCE_HILL_ENEMY = 0.3; + private double HILL_HEIGHT = 4; + private int GAP_LENGTH = 5; + private double CHANGE_GAP = 0.1; + private double CHANGE_HILL_CHANGE = 0.1; + private double GAP_OFFSET = -5; + private double GAP_RANGE = 10; + private int GROUND_MAX_HEIGHT = 5; + + // controls the fun + Random rand; + + // constraints + int gapCount = 0; + int turtleCount = 0; + int coinBlockCount = 0; + + int xExit = 0; + int yExit = 0; + + public LevelGenerator() { + this(10, 7, 10); + } + + public LevelGenerator(int maxGaps, int maxTurtles, int maxCoinBlocks) { + this.maxGaps = maxGaps; + this.maxTurtles = maxTurtles; + this.maxCoinBlocks = maxCoinBlocks; + } + + private void placeBlock(MarioLevelModel model, int x, int y) { + // choose block type + if (rand.nextDouble() < CHANCE_BLOCK_POWER_UP) { + model.setBlock(x, y, MarioLevelModel.SPECIAL_BRICK); + } else if (rand.nextDouble() < CHANCE_BLOCK_COIN && coinBlockCount < this.maxCoinBlocks) { + model.setBlock(x, y, MarioLevelModel.COIN_BRICK); + coinBlockCount++; + } else { + model.setBlock(x, y, MarioLevelModel.NORMAL_BRICK); + } + + // place enemies + if (rand.nextDouble() < CHANCE_BLOCK_ENEMY) { + char t = MarioLevelModel.getEnemyCharacters(false)[this.rand.nextInt(MarioLevelModel.getEnemyCharacters(false).length)]; + // turtle constraint + if (t == MarioLevelModel.GREEN_KOOPA || t == MarioLevelModel.RED_KOOPA) { + if (turtleCount < this.maxTurtles) { + turtleCount++; + } else { + t = MarioLevelModel.GOOMBA; + } + } + boolean winged = rand.nextDouble() < CHANCE_WINGED; + model.setBlock(x, y - 1, MarioLevelModel.getWingedEnemyVersion(t, winged)); + } + } + + private void placePipe(MarioLevelModel model, int x, int y, int height) { + model.setRectangle(x, y - height, 2, height, MarioLevelModel.PIPE); + } + + private void setGroundHeight(MarioLevelModel model, int x, int y, int lastY, int nextY) { + int mapHeight = model.getHeight(); + model.setRectangle(x, y + 1, 1, mapHeight - 1 - y, MarioLevelModel.GROUND); + + if (y < lastY) { + model.setBlock(x, y, MarioLevelModel.GROUND); + for (int i = y + 1; i <= lastY; i++) { + model.setBlock(x, i, MarioLevelModel.GROUND); + } + } else if (y < nextY) { + model.setBlock(x, y, MarioLevelModel.GROUND); + for (int i = y + 1; i <= nextY; i++) { + model.setBlock(x, i, MarioLevelModel.GROUND); + } + } else { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + + // place the exit + if (x == (model.getWidth() - 5)) { + this.yExit = y - 1; + } + } + + public String getGeneratedLevel(MarioLevelModel model, MarioTimer timer) { + this.rand = new Random(); + model.clearMap(); + + ArrayList ground = new ArrayList(); + + // used to place the ground + int lastY = GROUND_MAX_HEIGHT + (int) (rand.nextDouble() * (model.getHeight() - 1 - GROUND_MAX_HEIGHT)); + int y = lastY; + int nextY = y; + boolean justChanged = false; + int length = 0; + int landHeight = model.getHeight() - 1; + + // place the ground + for (int x = 0; x < model.getWidth(); x++) { + + // need more ground + if (length > GAP_LENGTH && y >= model.getHeight()) { + nextY = landHeight; + justChanged = true; + length = 1; + } + // adjust ground level + else if (x > minX && rand.nextDouble() < CHANGE_HILL_CHANGE && !justChanged) { + nextY += (int) (GAP_OFFSET + GAP_RANGE * rand.nextDouble()); + nextY = Math.min(model.getHeight() - 2, nextY); + nextY = Math.max(5, nextY); + justChanged = true; + length = 1; + } + // add a gap + else if (x > minX && y < model.getHeight() && rand.nextDouble() < CHANGE_GAP && !justChanged + && gapCount < this.maxGaps) { + landHeight = Math.min(model.getHeight() - 1, lastY); + nextY = model.getHeight(); + justChanged = true; + length = 1; + gapCount++; + } else { + length++; + justChanged = false; + } + + setGroundHeight(model, x, y, lastY, nextY); + ground.add(y); + + lastY = y; + y = nextY; + } + + // non colliding hills + int x = 0; + y = model.getHeight(); + for (Integer h : ground) { + if (y == model.getHeight()) { + if (x > 10 && rand.nextDouble() < CHANCE_HILL) { + y = (int) (HILL_HEIGHT + rand.nextDouble() * (h - HILL_HEIGHT)); + model.setBlock(x, y, MarioLevelModel.PLATFORM); + for (int i = y + 1; i < h; i++) { + model.setBlock(x, i, MarioLevelModel.PLATFORM_BACKGROUND); + } + } + } else { + // end if hitting a wall + if (y >= h) { + y = model.getHeight(); + } else if (rand.nextDouble() < CHANCE_END_HILL) { + model.setBlock(x, y, MarioLevelModel.PLATFORM); + for (int i = y + 1; i < h; i++) { + model.setBlock(x, i, MarioLevelModel.PLATFORM_BACKGROUND); + } + + y = model.getHeight(); + } else { + model.setBlock(x, y, MarioLevelModel.PLATFORM); + for (int i = y + 1; i < h; i++) { + model.setBlock(x, i, MarioLevelModel.PLATFORM_BACKGROUND); + } + + if (rand.nextDouble() < CHANCE_HILL_ENEMY) { + char t = MarioLevelModel.getEnemyCharacters(false)[this.rand.nextInt(MarioLevelModel.getEnemyCharacters(false).length)]; + // turtle constraint + if (t == MarioLevelModel.GREEN_KOOPA || t == MarioLevelModel.RED_KOOPA) { + if (turtleCount < this.maxTurtles) { + turtleCount++; + } else { + t = MarioLevelModel.GOOMBA; + } + } + boolean winged = rand.nextDouble() < CHANCE_WINGED; + model.setBlock(x, y - 1, MarioLevelModel.getWingedEnemyVersion(t, winged)); + } + } + } + + x++; + } + + // pipes + lastY = 0; + int lastlastY = 0; + x = 0; + int lastX = 0; + for (Integer h : ground) { + if (x > minX && rand.nextDouble() < CHANCE_PIPE) { + if (h == lastY && lastlastY <= lastY && x > (lastX + 1)) { + int height = PIPE_MIN_HEIGHT + (int) (Math.random() * PIPE_HEIGHT); + placePipe(model, x - 1, h, height); + lastX = x; + } + } + + lastlastY = lastY; + lastY = h; + x++; + } + + // place enemies + x = 0; + for (Integer h : ground) { + if (x > minX && rand.nextDouble() < CHANCE_ENEMY) { + char t = MarioLevelModel.getEnemyCharacters(false)[this.rand.nextInt(MarioLevelModel.getEnemyCharacters(false).length)]; + // turtle constraint + if (t == MarioLevelModel.GREEN_KOOPA || t == MarioLevelModel.RED_KOOPA) { + if (turtleCount < this.maxTurtles) { + turtleCount++; + } else { + t = MarioLevelModel.GOOMBA; + } + } + boolean winged = rand.nextDouble() < CHANCE_WINGED; + char tile = model.getBlock(x, h - 1); + if (tile == MarioLevelModel.EMPTY) { + model.setBlock(x, h - 1, MarioLevelModel.getWingedEnemyVersion(t, winged)); + } + } + x++; + } + + // platforms + x = 0; + y = model.getHeight(); + for (Integer h : ground) { + int max = 0; + + // find the highest object + for (max = 0; max < h; max++) { + int tile = model.getBlock(x, max); + if (tile != 0) { + break; + } + } + + if (y == model.getHeight()) { + if (x > minX && rand.nextDouble() < CHANCE_PLATFORM) { + y = max - PLATFORM_HEIGHT; // (int)(-5*rand.nextDouble()*(h - 0)); + + if (y >= 1 && h - max > 1) { + placeBlock(model, x, y); + } else { + y = model.getHeight(); + } + } + } else { + // end if hitting a wall + if (y >= (max + 1)) { + y = model.getHeight(); + } else if (rand.nextDouble() < CHANCE_END_PLATFORM) { + placeBlock(model, x, y); + y = model.getHeight(); + } else { + placeBlock(model, x, y); + } + } + x++; + } + + // coins + x = 0; + for (Integer h : ground) { + if (x > 5 && rand.nextDouble() < CHANCE_COIN) { + y = h - (int) (1 + Math.random() * COIN_HEIGHT); + + char tile = model.getBlock(x, y); + if (tile == MarioLevelModel.EMPTY) { + model.setBlock(x, y, MarioLevelModel.COIN); + } + } + + x++; + } + // place the exit + this.xExit = model.getWidth() - 5; + model.setBlock(this.xExit, this.yExit, MarioLevelModel.MARIO_EXIT); + return model.getMap(); + } + + public String getGeneratorName() { + return "BenWeberLevelGenerator"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/linear/LevelGenerator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/linear/LevelGenerator.java new file mode 100644 index 00000000..7a55557b --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/linear/LevelGenerator.java @@ -0,0 +1,151 @@ +package levelGenerators.linear; + +import java.util.ArrayList; +import java.util.Random; + +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioTimer; + +public class LevelGenerator implements MarioLevelGenerator { + private final int GROUND_PADDING = 5; + private final int GROUND_LENGTH = 8; + private final int GAP_LENGTH = 6; + private final float GAP_PROB = 0.1f; + private final float PIPE_PROB = 0.75f; + private final int GROUND_PIPE_LENGTH = 10; + private final int PIPE_HEIGHT = 6; + private final float COLLECTIBLE_PROB = 0.75f; + private final int GROUND_COLLECTIBLE_LENGTH = 6; + private final int GROUND_ENEMY_LENGTH = 2; + + private Random rnd; + + private void placePipe(MarioLevelModel model, int x, int y, int height) { + char pipeType = MarioLevelModel.PIPE; + if (this.rnd.nextDouble() < 0.2) { + pipeType = MarioLevelModel.PIPE_FLOWER; + } + model.setRectangle(x, y - height + 1, 2, height, pipeType); + } + + private void placeInterestingArrangement(MarioLevelModel model, int x, int y, int width) { + for (int i = 0; i < width / 2; i++) { + char type = MarioLevelModel.getBumpableTiles()[this.rnd.nextInt(MarioLevelModel.getBumpableTiles().length)]; + model.setBlock(x + i, y, type); + model.setBlock(x + width - 1 - i, y, type); + } + + if (width % 2 == 1 && this.rnd.nextDouble() < 0.25) { + char type = MarioLevelModel.getBumpableTiles()[this.rnd.nextInt(MarioLevelModel.getBumpableTiles().length)]; + model.setBlock(x + width / 2, y, type); + } + + if (y > 4 && this.rnd.nextDouble() < 0.25) { + this.placeInterestingArrangement(model, x + width / 4, y - 3 - this.rnd.nextInt(3), width / 2); + } + } + + private void placeEnemy(MarioLevelModel model, int x1, int x2, int y) { + boolean winged = this.rnd.nextDouble() < 0.1; + char enemyType = MarioLevelModel.getEnemyCharacters(false)[this.rnd.nextInt(MarioLevelModel.getEnemyCharacters(false).length)]; + enemyType = MarioLevelModel.getWingedEnemyVersion(enemyType, winged); + int xStart = x1 + this.rnd.nextInt(x2 - x1); + int length = 1 + this.rnd.nextInt(3); + if (length > x2 - x1 - 1) { + length = x2 - x1 - 1; + } + for (int i = 0; i < length; i++) { + if (model.getBlock(xStart + i, y) == MarioLevelModel.EMPTY) + model.setBlock(xStart + i, y, enemyType); + } + } + + @Override + public String getGeneratedLevel(MarioLevelModel model, MarioTimer timer) { + this.rnd = new Random(); + model.clearMap(); + + ArrayList groundArea = new ArrayList(); + groundArea.add(0); + int groundLength = GROUND_LENGTH / 2 + this.rnd.nextInt(GROUND_LENGTH / 2); + int gapLength = 0; + + //add ground + for (int x = 0; x < model.getWidth(); x++) { + if (groundLength > 0 || gapLength == 0 || x < GROUND_PADDING || x > model.getWidth() - 1 - GROUND_PADDING) { + model.setBlock(x, model.getHeight() - 1, MarioLevelModel.GROUND); + model.setBlock(x, model.getHeight() - 2, MarioLevelModel.GROUND); + groundLength -= 1; + if (groundLength <= 0 && this.rnd.nextDouble() < GAP_PROB) { + gapLength = GAP_LENGTH / 2 + this.rnd.nextInt(GAP_LENGTH / 2); + } + if (groundArea.size() % 2 == 0) { + groundArea.add(x); + } + } else { + gapLength -= 1; + if (gapLength <= 0) { + groundLength = GROUND_LENGTH / 2 + this.rnd.nextInt(GROUND_LENGTH / 2); + } + if (groundArea.size() % 2 == 1) { + groundArea.add(x); + } + } + } + groundArea.add(model.getWidth() - 1); + + //add pipes + ArrayList newAreas = new ArrayList(); + for (int i = 0; i < groundArea.size() / 2; i++) { + groundLength = groundArea.get(2 * i + 1) - groundArea.get(2 * i); + if (groundLength > GROUND_PIPE_LENGTH && this.rnd.nextDouble() < PIPE_PROB) { + int x = groundArea.get(2 * i) + this.rnd.nextInt(groundLength / 4) + 3; + this.placePipe(model, x, model.getHeight() - 3, this.rnd.nextInt(PIPE_HEIGHT * 2 / 3) + PIPE_HEIGHT / 3); + newAreas.add(groundArea.get(2 * i)); + newAreas.add(x - 1); + newAreas.add(x + 2); + newAreas.add(groundArea.get(2 * i + 1)); + } + } + + //add interesting patterns + groundArea.clear(); + for (int i = 0; i < newAreas.size() / 2; i++) { + groundLength = newAreas.get(2 * i + 1) - newAreas.get(2 * i); + groundArea.add(newAreas.get(2 * i)); + groundArea.add(model.getHeight() - 3); + groundArea.add(newAreas.get(2 * i + 1)); + groundArea.add(model.getHeight() - 3); + if (groundLength > GROUND_COLLECTIBLE_LENGTH && this.rnd.nextDouble() < COLLECTIBLE_PROB) { + int x = newAreas.get(2 * i) + this.rnd.nextInt(groundLength / 3) + 1; + int y = model.getHeight() - 5 - this.rnd.nextInt(3); + int length = 1 + this.rnd.nextInt(groundLength / 3); + this.placeInterestingArrangement(model, x, y, length); + groundArea.add(x + 1); + groundArea.add(y - 1); + groundArea.add(x + length - 1); + groundArea.add(y - 1); + } + } + + //add enemies + for (int i = 1; i < groundArea.size() / 4; i++) { + groundLength = groundArea.get(4 * i + 2) - groundArea.get(4 * i); + if (groundLength > GROUND_ENEMY_LENGTH) { + this.placeEnemy(model, groundArea.get(4 * i), groundArea.get(4 * i + 2), groundArea.get(4 * i + 1)); + } + } + + model.setBlock(1, model.getHeight() - 3, MarioLevelModel.MARIO_START); + model.setBlock(model.getWidth() - 2, model.getHeight() - 3, MarioLevelModel.PYRAMID_BLOCK); + model.setBlock(model.getWidth() - 2, model.getHeight() - 4, MarioLevelModel.MARIO_EXIT); + return model.getMap(); + } + + @Override + public String getGeneratorName() { + return "LinearLevelGenerator"; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/notch/LevelGenerator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/notch/LevelGenerator.java new file mode 100644 index 00000000..5d960665 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/notch/LevelGenerator.java @@ -0,0 +1,363 @@ +package levelGenerators.notch; + +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioTimer; + +import java.util.Random; + +public class LevelGenerator implements MarioLevelGenerator { + private static final int ODDS_STRAIGHT = 0; + private static final int ODDS_HILL_STRAIGHT = 1; + private static final int ODDS_TUBES = 2; + private static final int ODDS_JUMP = 3; + private static final int ODDS_CANNONS = 4; + + private int[] odds = new int[5]; + private int totalOdds; + private int difficulty; + private int type; + private Random random; + + public LevelGenerator() { + random = new Random(); + this.type = random.nextInt(3); + this.difficulty = random.nextInt(5); + } + + public LevelGenerator(int type, int difficulty) { + random = new Random(); + this.type = type; + this.difficulty = difficulty; + } + + private int buildZone(MarioLevelModel model, int x, int maxLength) { + int t = random.nextInt(totalOdds); + int type = 0; + for (int i = 0; i < odds.length; i++) { + if (odds[i] <= t) { + type = i; + } + } + + switch (type) { + case ODDS_STRAIGHT: + return buildStraight(model, x, maxLength, false); + case ODDS_HILL_STRAIGHT: + return buildHillStraight(model, x, maxLength); + case ODDS_TUBES: + return buildTubes(model, x, maxLength); + case ODDS_JUMP: + return buildJump(model, x, maxLength); + case ODDS_CANNONS: + return buildCannons(model, x, maxLength); + } + return 0; + } + + private int buildJump(MarioLevelModel model, int xo, int maxLength) { + int js = random.nextInt(4) + 2; + int jl = random.nextInt(2) + 2; + int length = js * 2 + jl; + + boolean hasStairs = random.nextInt(3) == 0; + + int floor = model.getHeight() - 1 - random.nextInt(4); + for (int x = xo; x < xo + length; x++) { + if (x < xo + js || x > xo + length - js - 1) { + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } else if (hasStairs) { + if (x < xo + js) { + if (y >= floor - (x - xo) + 1) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } else { + if (y >= floor - ((xo + length) - x) + 2) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } + } + } + } + } + + return length; + } + + private int buildCannons(MarioLevelModel model, int xo, int maxLength) { + int length = random.nextInt(10) + 2; + if (length > maxLength) + length = maxLength; + + int floor = model.getHeight() - 1 - random.nextInt(4); + int xCannon = xo + 1 + random.nextInt(4); + for (int x = xo; x < xo + length; x++) { + if (x > xCannon) { + xCannon += 2 + random.nextInt(4); + } + if (xCannon == xo + length - 1) + xCannon += 10; + int cannonHeight = floor - random.nextInt(4) - 1; + + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } else { + if (x == xCannon && y >= cannonHeight) { + model.setBlock(x, y, MarioLevelModel.BULLET_BILL); + } + } + } + } + + return length; + } + + private int buildHillStraight(MarioLevelModel model, int xo, int maxLength) { + int length = random.nextInt(10) + 10; + if (length > maxLength) + length = maxLength; + + int floor = model.getHeight() - 1 - random.nextInt(4); + for (int x = xo; x < xo + length; x++) { + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } + } + + addEnemyLine(model, xo + 1, xo + length - 1, floor - 1); + + int h = floor; + + boolean keepGoing = true; + + boolean[] occupied = new boolean[length]; + while (keepGoing) { + h = h - 2 - random.nextInt(3); + + if (h <= 0) { + keepGoing = false; + } else { + int l = random.nextInt(5) + 3; + int xxo = random.nextInt(length - l - 2) + xo + 1; + + if (occupied[xxo - xo] || occupied[xxo - xo + l] || occupied[xxo - xo - 1] + || occupied[xxo - xo + l + 1]) { + keepGoing = false; + } else { + occupied[xxo - xo] = true; + occupied[xxo - xo + l] = true; + addEnemyLine(model, xxo, xxo + l, h - 1); + if (random.nextInt(4) == 0) { + decorate(model, xxo - 1, xxo + l + 1, h); + keepGoing = false; + } + for (int x = xxo; x < xxo + l; x++) { + for (int y = h; y < floor; y++) { + int yy = 9; + if (y == h) + yy = 8; + if (model.getBlock(x, y) == MarioLevelModel.EMPTY) { + if (yy == 8) { + model.setBlock(x, y, MarioLevelModel.PLATFORM); + } else { + model.setBlock(x, y, MarioLevelModel.PLATFORM_BACKGROUND); + } + } + } + } + } + } + } + + return length; + } + + private void addEnemyLine(MarioLevelModel model, int x0, int x1, int y) { + char[] enemies = new char[]{MarioLevelModel.GOOMBA, + MarioLevelModel.GREEN_KOOPA, + MarioLevelModel.RED_KOOPA, + MarioLevelModel.SPIKY}; + for (int x = x0; x < x1; x++) { + if (random.nextInt(35) < difficulty + 1) { + int type = random.nextInt(4); + if (difficulty < 1) { + type = 0; + } else if (difficulty < 3) { + type = 1 + random.nextInt(3); + } + model.setBlock(x, y, MarioLevelModel.getWingedEnemyVersion(enemies[type], random.nextInt(35) < difficulty)); + } + } + } + + private int buildTubes(MarioLevelModel model, int xo, int maxLength) { + int length = random.nextInt(10) + 5; + if (length > maxLength) + length = maxLength; + + int floor = model.getHeight() - 1 - random.nextInt(4); + int xTube = xo + 1 + random.nextInt(4); + int tubeHeight = floor - random.nextInt(2) - 2; + for (int x = xo; x < xo + length; x++) { + if (x > xTube + 1) { + xTube += 3 + random.nextInt(4); + tubeHeight = floor - random.nextInt(2) - 2; + } + if (xTube >= xo + length - 2) + xTube += 10; + + char tubeType = MarioLevelModel.PIPE; + if (x == xTube && random.nextInt(11) < difficulty + 1) { + tubeType = MarioLevelModel.PIPE_FLOWER; + } + + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } else { + if ((x == xTube || x == xTube + 1) && y >= tubeHeight) { + model.setBlock(x, y, tubeType); + } + } + } + } + + return length; + } + + private int buildStraight(MarioLevelModel model, int xo, int maxLength, boolean safe) { + int length = random.nextInt(10) + 2; + if (safe) + length = 10 + random.nextInt(5); + if (length > maxLength) + length = maxLength; + + int floor = model.getHeight() - 1 - random.nextInt(4); + for (int x = xo; x < xo + length; x++) { + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } + } + + if (!safe) { + if (length > 5) { + decorate(model, xo, xo + length, floor); + } + } + + return length; + } + + private void decorate(MarioLevelModel model, int x0, int x1, int floor) { + if (floor < 1) + return; + + boolean rocks = true; + addEnemyLine(model, x0 + 1, x1 - 1, floor - 1); + + int s = random.nextInt(4); + int e = random.nextInt(4); + + if (floor - 2 > 0) { + if ((x1 - 1 - e) - (x0 + 1 + s) > 1) { + for (int x = x0 + 1 + s; x < x1 - 1 - e; x++) { + model.setBlock(x, floor - 2, MarioLevelModel.COIN); + } + } + } + + s = random.nextInt(4); + e = random.nextInt(4); + + if (floor - 4 > 0) { + if ((x1 - 1 - e) - (x0 + 1 + s) > 2) { + for (int x = x0 + 1 + s; x < x1 - 1 - e; x++) { + if (rocks) { + if (x != x0 + 1 && x != x1 - 2 && random.nextInt(3) == 0) { + if (random.nextInt(4) == 0) { + model.setBlock(x, floor - 4, MarioLevelModel.NORMAL_BRICK); + } else { + model.setBlock(x, floor - 4, MarioLevelModel.NORMAL_BRICK); + } + } else if (random.nextInt(4) == 0) { + if (random.nextInt(4) == 0) { + model.setBlock(x, floor - 4, MarioLevelModel.COIN); + } else { + model.setBlock(x, floor - 4, MarioLevelModel.COIN); + } + } else { + model.setBlock(x, floor - 4, MarioLevelModel.COIN); + } + } + } + } + } + } + + @Override + public String getGeneratedLevel(MarioLevelModel model, MarioTimer timer) { + model.clearMap(); + + odds[ODDS_STRAIGHT] = 20; + odds[ODDS_HILL_STRAIGHT] = 10; + odds[ODDS_TUBES] = 2 + 1 * difficulty; + odds[ODDS_JUMP] = 2 * difficulty; + odds[ODDS_CANNONS] = -10 + 5 * difficulty; + + if (type > 0) { + odds[ODDS_HILL_STRAIGHT] = 0; + } + + for (int i = 0; i < odds.length; i++) { + if (odds[i] < 0) + odds[i] = 0; + totalOdds += odds[i]; + odds[i] = totalOdds - odds[i]; + } + + int length = 0; + length += buildStraight(model, 0, model.getWidth(), true); + while (length < model.getWidth()) { + length += buildZone(model, length, model.getWidth() - length); + } + + int floor = model.getHeight() - 1 - random.nextInt(4); + + for (int x = length; x < model.getWidth(); x++) { + for (int y = 0; y < model.getHeight(); y++) { + if (y >= floor) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } + } + + if (type > 0) { + int ceiling = 0; + int run = 0; + for (int x = 0; x < model.getWidth(); x++) { + if (run-- <= 0 && x > 4) { + ceiling = random.nextInt(4); + run = random.nextInt(4) + 4; + } + for (int y = 0; y < model.getHeight(); y++) { + if ((x > 4 && y <= ceiling) || x < 1) { + model.setBlock(x, y, MarioLevelModel.NORMAL_BRICK); + } + } + } + } + return model.getMap(); + } + + @Override + public String getGeneratorName() { + return "NotchLevelGenerator"; + } +} \ No newline at end of file diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/random/LevelGenerator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/random/LevelGenerator.java new file mode 100644 index 00000000..011f51f9 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/random/LevelGenerator.java @@ -0,0 +1,57 @@ +package levelGenerators.random; + +import java.util.Random; + +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioTimer; + +public class LevelGenerator implements MarioLevelGenerator { + private final int GROUND_Y_LOCATION = 13; + private final float GROUND_PROB = 0.4f; + private final int OBSTACLES_LOCATION = 10; + private final float OBSTACLES_PROB = 0.1f; + private final int COLLECTIBLE_LOCATION = 3; + private final float COLLECTIBLE_PROB = 0.05f; + private final float ENMEY_PROB = 0.1f; + private final int FLOOR_PADDING = 3; + + @Override + public String getGeneratedLevel(MarioLevelModel model, MarioTimer timer) { + Random random = new Random(); + model.clearMap(); + for (int x = 0; x < model.getWidth(); x++) { + for (int y = 0; y < model.getHeight(); y++) { + model.setBlock(x, y, MarioLevelModel.EMPTY); + if (y > GROUND_Y_LOCATION) { + if (random.nextDouble() < GROUND_PROB) { + model.setBlock(x, y, MarioLevelModel.GROUND); + } + } else if (y > OBSTACLES_LOCATION) { + if (random.nextDouble() < OBSTACLES_PROB) { + model.setBlock(x, y, MarioLevelModel.PYRAMID_BLOCK); + } else if (random.nextDouble() < ENMEY_PROB) { + model.setBlock(x, y, + MarioLevelModel.getEnemyCharacters()[random.nextInt(MarioLevelModel.getEnemyCharacters().length)]); + } + } else if (y > COLLECTIBLE_LOCATION) { + if (random.nextDouble() < COLLECTIBLE_PROB) { + model.setBlock(x, y, + MarioLevelModel.getCollectablesTiles()[random.nextInt(MarioLevelModel.getCollectablesTiles().length)]); + } + } + } + } + model.setRectangle(0, 14, FLOOR_PADDING, 2, MarioLevelModel.GROUND); + model.setRectangle(model.getWidth() - 1 - FLOOR_PADDING, 14, FLOOR_PADDING, 2, MarioLevelModel.GROUND); + model.setBlock(FLOOR_PADDING / 2, 13, MarioLevelModel.MARIO_START); + model.setBlock(model.getWidth() - 1 - FLOOR_PADDING / 2, 13, MarioLevelModel.MARIO_EXIT); + return model.getMap(); + } + + @Override + public String getGeneratorName() { + return "RandomLevelGenerator"; + } + +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/sampler/LevelGenerator.java b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/sampler/LevelGenerator.java new file mode 100644 index 00000000..dc97c048 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/java/levelGenerators/sampler/LevelGenerator.java @@ -0,0 +1,60 @@ +package levelGenerators.sampler; + +import java.io.File; +import java.io.IOException; +import java.nio.file.Files; +import java.util.List; +import java.util.Random; + +import engine.core.MarioLevelGenerator; +import engine.core.MarioLevelModel; +import engine.core.MarioTimer; + +public class LevelGenerator implements MarioLevelGenerator { + private int sampleWidth = 10; + private String folderName = "levels/original/"; + + private Random rnd; + + public LevelGenerator() { + this("levels/original/", 10); + } + + public LevelGenerator(String sampleFolder) { + this(sampleFolder, 10); + } + + public LevelGenerator(String sampleFolder, int sampleWidth) { + this.sampleWidth = sampleWidth; + this.folderName = sampleFolder; + } + + private String getRandomLevel() throws IOException { + File[] listOfFiles = new File(folderName).listFiles(); + List lines = Files.readAllLines(listOfFiles[rnd.nextInt(listOfFiles.length)].toPath()); + String result = ""; + for (int i = 0; i < lines.size(); i++) { + result += lines.get(i) + "\n"; + } + return result; + } + + @Override + public String getGeneratedLevel(MarioLevelModel model, MarioTimer timer) { + rnd = new Random(); + model.clearMap(); + for (int i = 0; i < model.getWidth() / sampleWidth; i++) { + try { + model.copyFromString(i * sampleWidth, 0, i * sampleWidth, 0, sampleWidth, model.getHeight(), this.getRandomLevel()); + } catch (IOException e) { + e.printStackTrace(); + } + } + return model.getMap(); + } + + @Override + public String getGeneratorName() { + return "SamplerLevelGenerator"; + } +} diff --git a/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/README.md b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/README.md new file mode 100644 index 00000000..39062e6d --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/README.md @@ -0,0 +1 @@ +This folder contain the game graphics. All the graphics file has been modified by hand from the original files that was grabbed from: https://www.spriters-resource.com/nes/supermariobros/. Except for the font.gif file as it is the same as file from the MarioAI framework. \ No newline at end of file diff --git a/carl/envs/mario/sprites/font.gif b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/font.gif old mode 100755 new mode 100644 similarity index 100% rename from carl/envs/mario/sprites/font.gif rename to carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/font.gif diff --git a/carl/envs/mario/sprites/frameworkAD.gif b/carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/frameworkAD.gif similarity index 100% rename from carl/envs/mario/sprites/frameworkAD.gif rename to carl/envs/mario/pcg_smb_env/Mario-AI-Framework/src/main/resources/img/frameworkAD.gif diff --git a/carl/envs/mario/pcg_smb_env/__init__.py b/carl/envs/mario/pcg_smb_env/__init__.py new file mode 100644 index 00000000..cdbbf357 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/__init__.py @@ -0,0 +1,21 @@ +from functools import partial + +from gym.envs.registration import register + +from .mario_env import MarioEnv + +for level in range(1, 16): + level_file = f"lvl-{level}.txt" + env_id = f"MarioLevel{level}-v0" + register(id=env_id, entry_point=partial(MarioEnv, levels=[level_file])) + +register( + id="MarioLevelBase-v0", + entry_point=partial(MarioEnv, levels=["lvl-1.txt", "lvl-2.txt", "lvl-3.txt"]), +) + + +register( + id="MarioLevelAll-v0", + entry_point=partial(MarioEnv, levels=[f"lvl-{i}.txt" for i in range(1, 16)]), +) diff --git a/carl/envs/mario/level_image_gen.py b/carl/envs/mario/pcg_smb_env/level_image_gen.py similarity index 91% rename from carl/envs/mario/level_image_gen.py rename to carl/envs/mario/pcg_smb_env/level_image_gen.py index 29c707e3..2d5fefe3 100644 --- a/carl/envs/mario/level_image_gen.py +++ b/carl/envs/mario/pcg_smb_env/level_image_gen.py @@ -1,16 +1,16 @@ -# Code from https://github.com/Mawiszus/TOAD-GAN -from typing import Any, List, Tuple - import os +from pathlib import Path -from PIL import Image, ImageEnhance, ImageOps +from PIL import Image, ImageDraw, ImageEnhance, ImageOps class LevelImageGen: """Generates PIL Image files from Super Mario Bros. ascii levels. Initialize once and then use LevelImageGen.render() to generate images.""" - def __init__(self, sprite_path: str): + def __init__( + self, sprite_path=Path(__file__).absolute().parent.joinpath("sprites") + ): """sprite_path: path to the folder of sprite files, e.g. 'mario/sprites/'""" # Load Graphics (assumes sprite_path points to "img" folder of Mario-AI-Framework or provided sprites folder @@ -116,9 +116,7 @@ def __init__(self, sprite_path: str): self.sprite_dict = sprite_dict - def prepare_sprite_and_box( - self, ascii_level: List[str], sprite_key: str, curr_x: int, curr_y: int - ) -> Tuple[Any, Tuple[int, int, int, int]]: + def prepare_sprite_and_box(self, ascii_level, sprite_key, curr_x, curr_y): """Helper to make correct sprites and sprite sizes to draw into the image. Some sprites are bigger than one tile and the renderer needs to adjust for them. """ @@ -392,7 +390,7 @@ def prepare_sprite_and_box( return actual_sprite, (new_left, new_top, new_right, new_bottom) - def render(self, ascii_level: List[str]) -> Image: + def render(self, ascii_level, reachability_map=None): """Renders the ascii level as a PIL Image. Assumes the Background is sky""" len_level = len(ascii_level[-1]) height_level = len(ascii_level) @@ -415,4 +413,29 @@ def render(self, ascii_level: List[str]) -> Image: ) dst.paste(sprite, box, mask=sprite) + # Mark reachable tiles + if reachability_map is not None: + # if reachable blocks are adjacent we want to outline the whole cluster of blocks + cluster_width = 1 + for y in range(height_level): + for x in range(len_level): + if reachability_map[y][x] == 1: + # block already done in a previous cluster? + if cluster_width > 1: + cluster_width -= 1 + else: + new_x = x + 1 + while new_x < len_level and reachability_map[y][new_x] == 1: + cluster_width += 1 + new_x += 1 + + draw = ImageDraw.Draw(dst) + draw.rectangle( + ( + (x * 16, y * 16), + ((x + cluster_width) * 16, (y + 1) * 16), + ), + outline="red", + ) + return dst diff --git a/carl/envs/mario/mario_env.py b/carl/envs/mario/pcg_smb_env/mario_env.py similarity index 59% rename from carl/envs/mario/mario_env.py rename to carl/envs/mario/pcg_smb_env/mario_env.py index 2ed0d21d..31f67e8c 100644 --- a/carl/envs/mario/mario_env.py +++ b/carl/envs/mario/pcg_smb_env/mario_env.py @@ -1,44 +1,50 @@ -from typing import Any, ByteString, Deque, Dict, List, Literal, Optional, Union, cast +from typing import Any, Dict, List, Literal, Optional, cast +import atexit import os import random import socket from collections import deque import cv2 -import gymnasium as gym +import gymnasium import numpy as np from gymnasium import spaces -from gymnasium.core import ObsType from gymnasium.utils import seeding -from PIL import Image +from PIL.Image import Image from py4j.java_gateway import GatewayParameters, JavaGateway +from pyvirtualdisplay.display import Display -from carl.envs.mario.level_image_gen import LevelImageGen - +from .level_image_gen import LevelImageGen from .mario_game import MarioGame -from .utils import get_port, load_level +from .utils import launch_gateway, load_level -class MarioEnv(gym.Env): - metadata = {"render.modes": ["rgb_array"]} +class MarioEnv(gymnasium.Env): + metadata = { + "render_modes": ["rgb_array", "tiny_rgb_array"], + "render_fps": 24, + } + port: Optional[int] = None def __init__( self, levels: List[str], - timer: int = 100, - visual: bool = False, - sticky_action_probability: float = 0.1, - frame_skip: int = 2, - frame_stack: int = 4, - frame_dim: int = 64, - hide_points_banner: bool = False, - sparse_rewards: bool = False, - grayscale: bool = False, + timer=100, + visual=False, + sticky_action_probability=0.1, + frame_skip=2, + frame_stack=4, + frame_dim=84, + port: Optional[int] = None, + hide_points_banner=False, + sparse_rewards=False, + grayscale=False, + max_episode_steps: Optional[int] = None, seed: int = 0, ): - self.gateway: Any = None self.seed(seed) + self.render_mode = "rgb_array" self.level_names = levels self.levels = [load_level(name) for name in levels] self.timer = timer @@ -50,15 +56,20 @@ def __init__( self.sparse_rewards = sparse_rewards self.points_banner_height = 4 self.grayscale = grayscale + self.max_episode_steps = max_episode_steps self.last_action = None self.width = self.height = frame_dim self.observation_space = spaces.Box( low=0, high=255, - shape=[self.frame_stack if grayscale else 3, self.height, self.width], + shape=[ + self.frame_stack if grayscale else 3, + self.height, + self.width, + ], dtype=np.uint8, ) - self.original_obs: Deque = deque(maxlen=self.frame_skip) + self.original_obs = deque(maxlen=self.frame_skip) self.actions = [ [False, False, False, False, False], # noop [False, False, True, False, False], # down @@ -72,33 +83,42 @@ def __init__( [False, False, False, False, True], # jump ] self.action_space = spaces.Discrete(n=len(self.actions)) - self._obs: Any = np.zeros(shape=self.observation_space.shape, dtype=np.uint8) + self._obs = np.zeros(shape=self.observation_space.shape, dtype=np.uint8) self.current_level_idx = 0 self.frame_size = -1 - self.port = get_port() + self.gateway = None + self.port = port + self._episode_steps = 0 + self.game: Optional[MarioGame] = None self.mario_state: Literal[0, 1, 2] = 0 # normal, large, fire self.mario_inertia = 0.89 - self._init_game() + self.display = Display(use_xauth=True) def reset( self, - *, seed: Optional[int] = None, - options: Optional[dict] = None, - ) -> Union[ObsType, tuple[ObsType, dict]]: + options: Optional[Dict[str, Any]] = None, + **kwargs, + ): self._reset_obs() if self.game is None: - self.game: Any = self._init_game() - self.current_level_idx = (self.current_level_idx + 1) % len(self.levels) + self._init_game() + assert self.game is not None + if options is not None and "current_level_idx" in options: + self.current_level_idx = options["current_level_idx"] + else: + self.current_level_idx = self.np_random.integers(len(self.levels)) level = self.levels[self.current_level_idx] + self._episode_steps = 0 self.game.resetGame(level, self.timer, self.mario_state, self.mario_inertia) self.game.computeObservationRGB() buffer = self._receive() frame = self._read_frame(buffer) self._update_obs(frame) - return self._obs.copy(), {} + return self._obs.copy(), {"current_level_idx": self.current_level_idx} - def step(self, action: Any) -> Any: + def step(self, action: int, **kwargs): + assert self.game is not None if self.sticky_action_probability != 0.0: if ( self.last_action is not None @@ -111,7 +131,6 @@ def step(self, action: Any) -> Any: else: a = self.actions[action] - assert self.game frame = None for i in range(self.frame_skip): self.game.stepGame(*a) @@ -120,12 +139,17 @@ def step(self, action: Any) -> Any: buffer = self._receive() frame = self._read_frame(buffer) self._update_obs(frame) + self._episode_steps += 1 - reward, done, completionPercentage = ( + reward, terminated, completionPercentage = ( self.game.computeReward(), self.game.computeDone(), self.game.getCompletionPercentage(), ) + if self.max_episode_steps is not None: + truncated = self._episode_steps >= self.max_episode_steps + else: + truncated = self.game.computeTimeout() info: Dict[str, Any] = {"completed": completionPercentage} if self.visual: @@ -133,40 +157,47 @@ def step(self, action: Any) -> Any: return ( self._obs.copy(), reward if not self.sparse_rewards else int(completionPercentage == 1.0), - done, # bool - False, - info, # Dict[str, Any] + terminated, + truncated, + info, ) - def render(self, *args: Any, **kwargs: Any) -> ObsType: - return self.original_obs[0] - - def __getstate__(self) -> Dict: - assert self.gateway + def render(self, mode="rgb_array"): + if mode == "rgb_array": + return self.original_obs[0] + else: + return self._obs[-1] + def __getstate__(self): + assert self.gateway is not None self.gateway.close() self.gateway = None self.game = None self.socket.shutdown(1) self.socket.close() + if self.display is not None: + self.display.stop() + self.display = None return self.__dict__ - def _reset_obs(self) -> None: + def _reset_obs(self): self._obs[:] = 0 self.original_obs.clear() - def _read_frame(self, buffer: Any) -> Any: + def _read_frame(self, buffer): frame = ( np.frombuffer(buffer, dtype=np.int32).reshape(256, 256, 3).astype(np.uint8) ) self.original_obs.append(frame) return frame - def _update_obs(self, frame: Any) -> Any: + def _update_obs(self, frame): if self.grayscale: frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) - frame = cv2.resize(frame, (self.width, self.height), cv2.INTER_NEAREST) + frame = cv2.resize( + frame, (self.width, self.height), interpolation=cv2.INTER_NEAREST + ) if self.hide_points_banner: frame[: self.points_banner_height, :] = 0 if self.grayscale: @@ -174,7 +205,34 @@ def _update_obs(self, frame: Any) -> Any: else: self._obs = np.transpose(frame, axes=(2, 0, 1)) - def _init_game(self) -> MarioGame: + def _maybe_launch_gateway(self): + if MarioEnv.port is not None: + return MarioEnv.port + else: + gateway, port = launch_gateway() + + def shutdown(): + MarioEnv.port = None + gateway.shutdown() + gateway.close() + + atexit.register(shutdown) + MarioEnv.port = port + return port + + def close(self): + MarioEnv.port = None + if self.display is not None: + self.display.stop() + return super().close() + + def _init_game(self): + if os.environ.get("DISPLAY") is None: + if self.display is None or not self.display.is_alive(): + self.display = Display(use_xauth=True) + self.display.start() + self.port = self._maybe_launch_gateway() + assert self.port is not None self.gateway = JavaGateway( gateway_parameters=GatewayParameters( port=self.port, @@ -186,9 +244,8 @@ def _init_game(self) -> MarioGame: self.socket.connect(("localhost", self.game.getPort())) self.game.initGame() self.frame_size = self.game.getFrameSize() - return self.game - def _receive(self) -> ByteString: + def _receive(self): frameBuffer = b"" while len(frameBuffer) != self.frame_size: frameBuffer += self.socket.recv(self.frame_size) @@ -198,11 +255,7 @@ def get_action_meanings(self) -> List[str]: return ACTION_MEANING def render_current_level(self) -> Image: - img_gen = LevelImageGen( - sprite_path=os.path.abspath( - os.path.join(os.path.dirname(__file__), "sprites") - ) - ) + img_gen = LevelImageGen() return img_gen.render(self.levels[self.current_level_idx].split("\n")) def seed(self, seed: Optional[int] = None) -> List[Any]: diff --git a/carl/envs/mario/mario_game.py b/carl/envs/mario/pcg_smb_env/mario_game.py similarity index 64% rename from carl/envs/mario/mario_game.py rename to carl/envs/mario/pcg_smb_env/mario_game.py index 09f62da5..49c2afbb 100644 --- a/carl/envs/mario/mario_game.py +++ b/carl/envs/mario/pcg_smb_env/mario_game.py @@ -7,29 +7,29 @@ def getPort(self) -> int: pass @abstractmethod - def initGame(self) -> None: + def initGame(self): pass @abstractmethod - def stepGame( - self, left: bool, right: bool, down: bool, speed: bool, jump: bool - ) -> None: + def stepGame(self, left: bool, right: bool, down: bool, speed: bool, jump: bool): pass @abstractmethod - def resetGame( - self, level: str, timer: int, mario_state: int, inertia: float - ) -> None: + def resetGame(self, level: str, timer: int, mario_state: int, inertia: float): pass @abstractmethod - def computeObservationRGB(self) -> None: + def computeObservationRGB(self): pass @abstractmethod def computeReward(self) -> float: pass + @abstractmethod + def computeTimeout(self) -> bool: + pass + @abstractmethod def computeDone(self) -> bool: pass diff --git a/carl/envs/mario/pcg_smb_env/sprites/README.md b/carl/envs/mario/pcg_smb_env/sprites/README.md new file mode 100644 index 00000000..a7ddd173 --- /dev/null +++ b/carl/envs/mario/pcg_smb_env/sprites/README.md @@ -0,0 +1 @@ +This folder contains the sprite images from https://github.com/amidos2006/Mario-AI-Framework/tree/master/img we use in our level renderer. \ No newline at end of file diff --git a/carl/envs/mario/models/__init__.py b/carl/envs/mario/pcg_smb_env/toadgan/__init__.py similarity index 100% rename from carl/envs/mario/models/__init__.py rename to carl/envs/mario/pcg_smb_env/toadgan/__init__.py diff --git a/carl/envs/mario/generate_sample.py b/carl/envs/mario/pcg_smb_env/toadgan/generate_sample.py similarity index 91% rename from carl/envs/mario/generate_sample.py rename to carl/envs/mario/pcg_smb_env/toadgan/generate_sample.py index 3b64ca15..5565dc27 100644 --- a/carl/envs/mario/generate_sample.py +++ b/carl/envs/mario/pcg_smb_env/toadgan/generate_sample.py @@ -9,15 +9,22 @@ # Generates a noise tensor. Uses torch.randn. def generate_spatial_noise( - size: Union[Any, List[int], Tuple[int]], device: Union[str, torch.device] = "cpu" + size: Union[Any, List[int], Tuple[int]], + device: Union[str, torch.device] = "cpu", + seed: int = 0, ) -> Tensor: - return torch.randn(size, device=device, dtype=torch.float32) + return torch.randn( + size, + device=device, + dtype=torch.float32, + generator=torch.Generator().manual_seed(seed), + ) # Generate a sample given a TOAD-GAN and additional parameters @torch.no_grad() # type: ignore [misc] def generate_sample( - generators: Tensor, + generators: List[nn.Module], noise_maps: Tensor, reals: Tensor, noise_amplitudes: Tensor, @@ -34,8 +41,7 @@ def generate_sample( images: List[Tensor] = [] z_s: List[Tensor] = [] - # Generate on GPU if available - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + device = torch.device("cpu") # Main loop for G, Z_opt, noise_amp in zip(generators, noise_maps, noise_amplitudes): diff --git 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b/carl/envs/mario/pcg_smb_env/toadgan/modules/generator.py @@ -1,7 +1,6 @@ # Code from https://github.com/Mawiszus/TOAD-GAN from argparse import Namespace -import torch import torch.nn as nn import torch.nn.functional as F from torch import Tensor @@ -14,7 +13,6 @@ class Level_GeneratorConcatSkip2CleanAdd(nn.Module): def __init__(self, opt: Namespace): super().__init__() - self.is_cuda = torch.cuda.is_available() N = int(opt.nfc) self.head = ConvBlock(opt.nc_current, N, (3, 3), opt.padd_size, 1) self.body = nn.Sequential() diff --git a/carl/envs/mario/reachabillity.py b/carl/envs/mario/pcg_smb_env/toadgan/reachabillity.py similarity index 100% rename from carl/envs/mario/reachabillity.py rename to carl/envs/mario/pcg_smb_env/toadgan/reachabillity.py diff --git a/carl/envs/mario/toad_gan.py b/carl/envs/mario/pcg_smb_env/toadgan/toad_gan.py similarity index 77% rename from carl/envs/mario/toad_gan.py rename to carl/envs/mario/pcg_smb_env/toadgan/toad_gan.py index ac290a83..309eebf2 100644 --- a/carl/envs/mario/toad_gan.py +++ b/carl/envs/mario/pcg_smb_env/toadgan/toad_gan.py @@ -1,5 +1,3 @@ -from typing import Optional - import functools import os import sys @@ -8,8 +6,8 @@ import torch from torch import Tensor -from carl.envs.mario.generate_sample import generate_sample, generate_spatial_noise -from carl.envs.mario.reachabillity import reachability_map +from .generate_sample import generate_sample, generate_spatial_noise +from .reachabillity import reachability_map @dataclass @@ -40,7 +38,7 @@ def original_width(self) -> int: GENERATOR_DIR = os.path.abspath( - os.path.join(os.path.dirname(__file__), "TOAD-GUI", "generators", "v2") + os.path.join(os.path.dirname(__file__), "generators", "v2") ) GENERATOR_PATHS = sorted( os.listdir(GENERATOR_DIR), @@ -50,27 +48,27 @@ def original_width(self) -> int: @functools.lru_cache(maxsize=None) def load_generator(level_index: int) -> TOADGAN: - import carl.envs.mario.models as models + import carl.envs.mario.pcg_smb_env.toadgan.modules as models sys.modules["models"] = models gen_path = os.path.join(GENERATOR_DIR, GENERATOR_PATHS[level_index]) reals = torch.load( "%s/reals.pth" % gen_path, - map_location="cuda:0" if torch.cuda.is_available() else "cpu", + map_location="cpu", ) Zs = torch.load( "%s/noise_maps.pth" % gen_path, - map_location="cuda:0" if torch.cuda.is_available() else "cpu", + map_location="cpu", ) NoiseAmp = torch.load( "%s/noise_amplitudes.pth" % gen_path, - map_location="cuda:0" if torch.cuda.is_available() else "cpu", + map_location="cpu", ) token_list = torch.load("%s/token_list.pth" % gen_path) num_layers = torch.load("%s/num_layer.pth" % gen_path) Gs = torch.load( "%s/generators.pth" % gen_path, - map_location="cuda:0" if torch.cuda.is_available() else "cpu", + map_location="cpu", ) return TOADGAN( Gs=Gs, @@ -86,15 +84,17 @@ def generate_level( width: int, height: int, level_index: int, - initial_noise: Optional[torch.Tensor] = None, + seed: int, filter_unplayable: bool = True, -) -> str: +): toad_gan = load_generator(level_index) playable = False level = None + initial_noise = None tries = 0 while not playable: tries += 1 + initial_noise = generate_initial_noise(width, height, level_index, seed) level = generate_sample( **vars(toad_gan), scale_h=width / toad_gan.original_width, @@ -107,11 +107,13 @@ def generate_level( ) else: playable = True - assert level - return "".join(level) + assert level and isinstance(initial_noise, Tensor) + return "".join(level), initial_noise.numpy() -def generate_initial_noise(width: int, height: int, level_index: int) -> Tensor: +def generate_initial_noise( + width: int, height: int, level_index: int, seed: int +) -> Tensor: toad_gan = load_generator(level_index) base_noise_map = toad_gan.noise_maps[0] nzx = ( @@ -125,5 +127,5 @@ def generate_initial_noise(width: int, height: int, level_index: int) -> Tensor: / toad_gan.original_width ) noise_shape = (1, len(toad_gan.token_list), int(round(nzx)), int(round(nzy))) - noise = generate_spatial_noise(noise_shape) + noise = generate_spatial_noise(noise_shape, seed=seed) return noise diff --git a/carl/envs/mario/utils.py b/carl/envs/mario/pcg_smb_env/utils.py similarity index 57% rename from carl/envs/mario/utils.py rename to carl/envs/mario/pcg_smb_env/utils.py index 0470d3ab..4dcb6d81 100644 --- a/carl/envs/mario/utils.py +++ b/carl/envs/mario/pcg_smb_env/utils.py @@ -1,19 +1,13 @@ -from typing import Tuple - -import atexit import os import socket -import sys from contextlib import closing +from jdk4py import JAVA from py4j.java_gateway import JavaGateway -from xvfbwrapper import Xvfb MARIO_AI_PATH = os.path.abspath( os.path.join(os.path.dirname(__file__), "Mario-AI-Framework") ) -_gateway = None -_port = None def find_free_port() -> int: @@ -23,7 +17,7 @@ def find_free_port() -> int: return s.getsockname()[1] -def load_level(level_name: str = "lvl-1.txt") -> str: +def load_level(level_name: str = "lvl-1.txt"): prefix = ( os.path.join(MARIO_AI_PATH, "levels", "original") if level_name.startswith("lvl-") @@ -34,26 +28,17 @@ def load_level(level_name: str = "lvl-1.txt") -> str: return level -def get_port() -> int: - global _gateway - global _port - if _gateway is None: - _gateway, _port = launch_gateway() - return _port - - -def launch_gateway() -> Tuple[JavaGateway, int]: - vdisplay = Xvfb(width=1280, height=740, colordepth=16) - vdisplay.start() - atexit.register(lambda: vdisplay.stop()) +def launch_gateway(): free_port = find_free_port() return ( JavaGateway.launch_gateway( - classpath=os.path.join(MARIO_AI_PATH, "carl"), - redirect_stderr=sys.stderr, - redirect_stdout=sys.stdout, + classpath=os.path.join( + MARIO_AI_PATH, "Mario-AI-Framework-0.8.0-SNAPSHOT.jar" + ), die_on_exit=True, port=free_port, + java_path=str(JAVA), + javaopts=["-Djava.awt.headless=false"], ), free_port, ) diff --git a/carl/envs/mario/readme.md b/carl/envs/mario/readme.md deleted file mode 100644 index e6d11ebc..00000000 --- a/carl/envs/mario/readme.md +++ /dev/null @@ -1,8 +0,0 @@ -# **CARL RNA Environment** - -You'll need to follow some additional steps to install the Java backend for this environment. Be aware that Mario at this point will not run on any operation system besides Linux. - -Make sure the submodules TOAD-GUI and Mario-AI-Framework are cloned and up to date. To be able to execute the environment, run: -```bash -javac carl/envs/mario/Mario-AI-Framework/**/*.java -``` diff --git a/carl/envs/mario/sprites/README.md b/carl/envs/mario/sprites/README.md deleted file mode 100644 index 6e2eda67..00000000 --- a/carl/envs/mario/sprites/README.md +++ /dev/null @@ -1,4 +0,0 @@ -## Notice - -This folder contains the sprite images from https://github.com/amidos2006/Mario-AI-Framework/tree/master/img. -They are necessary for the Mario-AI-Framework and our level preview renderer. \ No newline at end of file diff --git a/carl/envs/mario/sprites/enemysheet.png b/carl/envs/mario/sprites/enemysheet.png deleted file mode 100755 index 7846c9b6..00000000 Binary files a/carl/envs/mario/sprites/enemysheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/favicon.png b/carl/envs/mario/sprites/favicon.png deleted file mode 100644 index 6bdeb815..00000000 Binary files a/carl/envs/mario/sprites/favicon.png and /dev/null differ diff --git a/carl/envs/mario/sprites/firemariosheet.png b/carl/envs/mario/sprites/firemariosheet.png deleted file mode 100755 index 3e8431bd..00000000 Binary files a/carl/envs/mario/sprites/firemariosheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/itemsheet.png b/carl/envs/mario/sprites/itemsheet.png deleted file mode 100755 index cc5c4b84..00000000 Binary files a/carl/envs/mario/sprites/itemsheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/mapsheet.png b/carl/envs/mario/sprites/mapsheet.png deleted file mode 100755 index 6a5d77d4..00000000 Binary files a/carl/envs/mario/sprites/mapsheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/mariosheet.png b/carl/envs/mario/sprites/mariosheet.png deleted file mode 100755 index fa9877cf..00000000 Binary files a/carl/envs/mario/sprites/mariosheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/particlesheet.png b/carl/envs/mario/sprites/particlesheet.png deleted file mode 100644 index 8421cdbc..00000000 Binary files a/carl/envs/mario/sprites/particlesheet.png and /dev/null differ diff --git a/carl/envs/mario/sprites/smallmariosheet.png b/carl/envs/mario/sprites/smallmariosheet.png deleted file mode 100755 index ac7cd549..00000000 Binary files a/carl/envs/mario/sprites/smallmariosheet.png and /dev/null differ diff --git a/docs/index.rst b/docs/index.rst index 87b20b54..633195ab 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -23,7 +23,7 @@ Feel free to check out our `paper `_ and our What is Context? ---------------- -.. image:: ../figures/concept.png +.. image:: source/figures/concept.png :width: 75% :align: center :alt: CARL contextually extends Brax' Fetch. diff --git a/docs/source/environments/data/context_definitions/CARLDmcFinger.csv b/docs/source/environments/data/context_definitions/CARLDmcFinger.csv new file mode 100644 index 00000000..6a80d02b --- /dev/null +++ b/docs/source/environments/data/context_definitions/CARLDmcFinger.csv @@ -0,0 +1,19 @@ +Context Feature,Default,Bounds +gravity,-9.81,"(-inf, -0.1, )" +friction_tangential,1,"(0, inf, )" +friction_torsional,1,"(0, inf, )" +friction_rolling,1,"(0, inf, )" +timestep,0.004,"(0.001, 0.1, )" +joint_damping,1.0,"(0, inf, )" +joint_stiffness,0.0,"(0, inf, )" +actuator_strength,1,"(0, inf, )" +density,5000.0,"(0, inf, )" +viscosity,0.0,"(0, inf, )" +geom_density,1.0,"(0, inf, )" +wind_x,0.0,"(-inf, inf, )" +wind_y,0.0,"(-inf, inf, )" +wind_z,0.0,"(-inf, inf, )" +limb_length_0,0.17,"(0.01, 0.2, )" +limb_length_1,0.16,"(0.01, 0.2, )" +spinner_radius,0.04,"(0.01, 0.05, )" +spinner_length,0.18,"(0.01, 0.4, )" diff --git a/docs/source/environments/data/context_definitions/CARLDmcFish.csv b/docs/source/environments/data/context_definitions/CARLDmcFish.csv new file mode 100644 index 00000000..63617684 --- /dev/null +++ b/docs/source/environments/data/context_definitions/CARLDmcFish.csv @@ -0,0 +1,15 @@ +Context Feature,Default,Bounds +gravity,-9.81,"(-inf, -0.1, )" +friction_tangential,1,"(0, inf, )" +friction_torsional,1,"(0, inf, )" +friction_rolling,1,"(0, inf, )" +timestep,0.004,"(0.001, 0.1, )" +joint_damping,1.0,"(0, inf, )" +joint_stiffness,0.0,"(0, inf, )" +actuator_strength,1,"(0, inf, )" +density,5000.0,"(0, inf, )" +viscosity,0.0,"(0, inf, )" +geom_density,1.0,"(0, inf, )" +wind_x,0.0,"(-inf, inf, )" +wind_y,0.0,"(-inf, inf, )" +wind_z,0.0,"(-inf, inf, )" diff --git a/docs/source/environments/data/context_definitions/CARLDmcQuadruped.csv b/docs/source/environments/data/context_definitions/CARLDmcQuadruped.csv new file mode 100644 index 00000000..6f754873 --- /dev/null +++ b/docs/source/environments/data/context_definitions/CARLDmcQuadruped.csv @@ -0,0 +1,15 @@ +Context Feature,Default,Bounds +gravity,-9.81,"(-inf, -0.1, )" +friction_tangential,1,"(0, inf, )" +friction_torsional,1,"(0, inf, )" +friction_rolling,1,"(0, inf, )" +timestep,0.005,"(0.001, 0.1, )" +joint_damping,1.0,"(0, inf, )" +joint_stiffness,0.0,"(0, inf, )" +actuator_strength,1,"(0, inf, )" +density,0.0,"(0, inf, )" +viscosity,0.0,"(0, inf, )" +geom_density,1.0,"(0, inf, )" +wind_x,0.0,"(-inf, inf, )" +wind_y,0.0,"(-inf, inf, )" +wind_z,0.0,"(-inf, inf, )" diff --git a/docs/source/environments/data/context_definitions/CARLDmcWalker.csv b/docs/source/environments/data/context_definitions/CARLDmcWalker.csv new file mode 100644 index 00000000..d57fe0c7 --- /dev/null +++ b/docs/source/environments/data/context_definitions/CARLDmcWalker.csv @@ -0,0 +1,15 @@ +Context Feature,Default,Bounds +gravity,-9.81,"(-inf, -0.1, )" +friction_tangential,1,"(0, inf, )" +friction_torsional,1,"(0, inf, )" +friction_rolling,1,"(0, inf, )" +timestep,0.0025,"(0.001, 0.1, )" +joint_damping,1.0,"(0, inf, )" +joint_stiffness,0.0,"(0, inf, )" +actuator_strength,1,"(0, inf, )" +density,5000.0,"(0, inf, )" +viscosity,0.0,"(0, inf, )" +geom_density,1.0,"(0, inf, )" +wind_x,0.0,"(-inf, inf, )" +wind_y,0.0,"(-inf, inf, )" +wind_z,0.0,"(-inf, inf, )" diff --git 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b/docs/source/environments/data/context_generalization_plots/plot_ecdf_CARLMountainCarEnv.png new file mode 100644 index 00000000..2c7ce136 Binary files /dev/null and b/docs/source/environments/data/context_generalization_plots/plot_ecdf_CARLMountainCarEnv.png differ diff --git a/docs/source/environments/data/context_generalization_plots/plot_ecdf_CARLPendulumEnv.png b/docs/source/environments/data/context_generalization_plots/plot_ecdf_CARLPendulumEnv.png new file mode 100644 index 00000000..cf52ddfd Binary files /dev/null and b/docs/source/environments/data/context_generalization_plots/plot_ecdf_CARLPendulumEnv.png differ diff --git a/docs/source/environments/environment_families/box2d.rst b/docs/source/environments/environment_families/box2d.rst index 9000b36d..7e159b19 100644 --- a/docs/source/environments/environment_families/box2d.rst +++ b/docs/source/environments/environment_families/box2d.rst @@ -25,17 +25,18 @@ CARL LunarLander Environment ------------------------------ .. image:: ../data/screenshots/lunarlander.jpeg :width: 25% - :align: left + :align: center :alt: Screenshot of CARLLunarLanderEnv +Here, the lunar lander should be safely navigated to its landing pad. +The lander's body, physics and simulation dynamics can be manipulated via the context features. +Influence of context settings on an agent trained on the default environment: + .. image:: ../data/context_generalization_plots/plot_ecdf_CARLLunarLanderEnv.png :width: 50% - :align: right + :align: center :alt: Influence of context settings on an agent trained on the default environment. -Here, the lunar lander should be safely navigated to its landing pad. -The lander's body, physics and simulation dynamics can be manipulated via the context features. - .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLLunarLanderEnv.csv :header-rows: 1 diff --git a/docs/source/environments/environment_families/classic_control.rst b/docs/source/environments/environment_families/classic_control.rst index 2150b2a7..a7312c19 100644 --- a/docs/source/environments/environment_families/classic_control.rst +++ b/docs/source/environments/environment_families/classic_control.rst @@ -9,17 +9,18 @@ CARL Pendulum Environment ------------------------- .. image:: ../data/screenshots/pendulum.jpeg :width: 25% - :align: left + :align: center :alt: Pendulum Environment -.. image:: ../data/context_generalization_plots/plot_ecdf_CARLPendulumEnv.png - :width: 50% - :align: right - :alt: Influence of context settings on an agent trained on the default environment. - In Pendulum, the agent's task is to swing up an inverted pendulum and balance it at the top from a random position. The action here is the direction and amount of force the agent wants to apply to the pendulum. +Influence of context settings on an agent trained on the default environment: + +.. image:: ../data/context_generalization_plots/plot_ecdf_CARLPendulumEnv.png + :width: 50% + :align: center + :alt: Influence of context settings on an agent trained on the default environment. .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLPendulumEnv.csv @@ -30,17 +31,18 @@ CARL CartPole Environment ------------------------- .. image:: ../data/screenshots/cartpole.jpeg :width: 25% - :align: left + :align: center :alt: CartPole Environment -.. image:: ../data/context_generalization_plots/plot_ecdf_CARLCartPoleEnv.png - :width: 50% - :align: right - :alt: Influence of context settings on an agent trained on the default environment. - CartPole, similarly to Pendulum, asks the agent to balance a pole upright, though this time the agent doesn't directly apply force to the pole but moves a cart on which the pole ist placed either to the left or the right. +Influence of context settings on an agent trained on the default environment: + +.. image:: ../data/context_generalization_plots/plot_ecdf_CARLCartPoleEnv.png + :width: 50% + :align: center + :alt: Influence of context settings on an agent trained on the default environment. .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLCartPoleEnv.csv @@ -51,17 +53,18 @@ CARL Acrobot Environment ------------------------- .. image:: ../data/screenshots/acrobot.jpeg :width: 25% - :align: left + :align: center :alt: Acrobot Environment -.. image:: ../data/context_generalization_plots/plot_ecdf_CARLAcrobotEnv.png - :width: 50% - :align: right - :alt: Influence of context settings on an agent trained on the default environment. - Acrobot is another swing-up task with the goal being swinging the end of the lower of two links up to a given height. The agent accomplishes this by actuating the joint connecting both links. +Influence of context settings on an agent trained on the default environment: + +.. image:: ../data/context_generalization_plots/plot_ecdf_CARLAcrobotEnv.png + :width: 50% + :align: center + :alt: Influence of context settings on an agent trained on the default environment. .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLAcrobotEnv.csv @@ -72,18 +75,20 @@ CARL MountainCar Environment ---------------------------- .. image:: ../data/screenshots/mountaincar.jpeg :width: 25% - :align: left + :align: center :alt: MountainCar Environment -.. image:: ../data/context_generalization_plots/plot_ecdf_CARLMountainCarEnv.png - :width: 50% - :align: right - :alt: Influence of context settings on an agent trained on the default environment. - The MountainCar environment asks the agent to move a car up a steep slope. In order to succeed, the agent has to accelerate using the opposite slope. There are two versions of the environment, a discrete one with only "left" and "right" as actions, as well as a continuous one. +Influence of context settings on an agent trained on the default environment: + +.. image:: ../data/context_generalization_plots/plot_ecdf_CARLMountainCarEnv.png + :width: 50% + :align: center + :alt: Influence of context settings on an agent trained on the default environment. + Defaults and bounds for the discrete MountainCar: diff --git a/docs/source/environments/environment_families/dmc.rst b/docs/source/environments/environment_families/dmc.rst index d29265de..5a87294d 100644 --- a/docs/source/environments/environment_families/dmc.rst +++ b/docs/source/environments/environment_families/dmc.rst @@ -7,7 +7,7 @@ The context features control the MuJoCo physics engine, e.g. the floor friction. CARL DMC Finger Environment *************************** .. image:: ../data/screenshots/finger.jpg - :width: 25% + :width: 50% :align: center :alt: Screenshot of CARLDmcFinger @@ -24,7 +24,7 @@ The agent needs to learn to spin an object using the finger. CARL DMC Fish Environment ********************** .. image:: ../data/screenshots/fish.jpg - :width: 25% + :width: 50% :height: 100px :align: center :alt: Screenshot of CARLDmcFish @@ -42,40 +42,36 @@ In Fish, the agent needs to swim as a simulated fish. CARL DMC Quadruped Environment ********************** .. image:: ../data/screenshots/quadruped.jpg - :width: 25% + :width: 50% :align: center :alt: Screenshot of CARLDmcQuadruped +The agent's goal is to walk efficiently with the quadruped robot. Influence of context settings on an agent trained on the default environment: + .. image:: ../data/context_generalization_plots/plot_ecdf_CARLDmcQuadrupedEnv.png :width: 50% - :align: right + :align: center :alt: Influence of context settings on an agent trained on the default environment. - -The agent's goal is to walk efficiently with the quadruped robot. - - .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLDmcQuadruped.csv :header-rows: 1 - - CARL DMC Walker Environment ***************************** .. image:: ../data/screenshots/walker.jpg - :width: 25% - :align: left + :width: 50% + :align: center :alt: Screenshot of CARLDmcWalker + +The walker robot is supposed to move forward as fast as possible. Influence of context settings on an agent trained on the default environment: + .. image:: ../data/context_generalization_plots/plot_ecdf_CARLDmcWalkerEnv.png :width: 50% - :align: right + :align: center :alt: Influence of context settings on an agent trained on the default environment. -The walker robot is supposed to move forward as fast as possible. - - .. csv-table:: Defaults and Bounds :file: ../data/context_definitions/CARLDmcWalker.csv :header-rows: 1 \ No newline at end of file diff --git a/examples/demo_carracing.py b/examples/demo_carracing.py index 9a87c7d6..3811dc15 100644 --- a/examples/demo_carracing.py +++ b/examples/demo_carracing.py @@ -2,9 +2,7 @@ Code adapted from gym.envs.box2d.car_racing.py """ -from typing import Any import numpy as np -import gymnasium as gym import time import pygame from carl.envs.gymnasium.box2d.carl_vehicle_racing import ( @@ -66,6 +64,7 @@ def register_input(): s, r, truncated, terminated, info = env.step(a) time.sleep(0.025) total_reward += r + if steps % 200 == 0 or terminated or truncated: print("\naction " + str(["{:+0.2f}".format(x) for x in a])) print("step {} total_reward {:+0.2f}".format(steps, total_reward)) diff --git a/examples/demo_heuristic_bipedalwalker.py b/examples/demo_heuristic_bipedalwalker.py new file mode 100644 index 00000000..5aa58937 --- /dev/null +++ b/examples/demo_heuristic_bipedalwalker.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from carl.envs import CARLBipedalWalker +from gymnasium.envs.box2d import bipedal_walker +import numpy as np + + +def demo_heuristic(env: CARLBipedalWalker | bipedal_walker.BipedalWalker) -> None: + env.reset() + steps = 0 + total_reward = 0 + a = np.array([0.0, 0.0, 0.0, 0.0]) + STAY_ON_ONE_LEG, PUT_OTHER_DOWN, PUSH_OFF = 1, 2, 3 + SPEED = 0.29 # Will fall forward on higher speed + state = STAY_ON_ONE_LEG + moving_leg = 0 + supporting_leg = 1 - moving_leg + SUPPORT_KNEE_ANGLE = +0.1 + supporting_knee_angle = SUPPORT_KNEE_ANGLE + while True: + s, r, terminated, truncated, info = env.step(a) + s = s["obs"] + total_reward += r + if steps % 20 == 0 or terminated or truncated: + print("\naction " + str(["{:+0.2f}".format(x) for x in a])) + print("step {} total_reward {:+0.2f}".format(steps, total_reward)) + print("hull " + str(["{:+0.2f}".format(x) for x in s[0:4]])) + print("leg0 " + str(["{:+0.2f}".format(x) for x in s[4:9]])) + print("leg1 " + str(["{:+0.2f}".format(x) for x in s[9:14]])) + steps += 1 + + contact0 = s[8] # noqa: F841 + contact1 = s[13] # noqa: F841 + moving_s_base = 4 + 5 * moving_leg + supporting_s_base = 4 + 5 * supporting_leg + + hip_targ = np.array([None, None]) # -0.8 .. +1.1 + knee_targ = np.array([None, None]) # -0.6 .. +0.9 + hip_todo = np.array([0.0, 0.0]) + knee_todo = np.array([0.0, 0.0]) + + if state == STAY_ON_ONE_LEG: + hip_targ[moving_leg] = 1.1 + knee_targ[moving_leg] = -0.6 + supporting_knee_angle += 0.03 + if s[2] > SPEED: + supporting_knee_angle += 0.03 + supporting_knee_angle = min(supporting_knee_angle, SUPPORT_KNEE_ANGLE) + knee_targ[supporting_leg] = supporting_knee_angle + if s[supporting_s_base + 0] < 0.10: # supporting leg is behind + state = PUT_OTHER_DOWN + if state == PUT_OTHER_DOWN: + hip_targ[moving_leg] = +0.1 + knee_targ[moving_leg] = SUPPORT_KNEE_ANGLE + knee_targ[supporting_leg] = supporting_knee_angle + if s[moving_s_base + 4]: + state = PUSH_OFF + supporting_knee_angle = min(s[moving_s_base + 2], SUPPORT_KNEE_ANGLE) + if state == PUSH_OFF: + knee_targ[moving_leg] = supporting_knee_angle + knee_targ[supporting_leg] = +1.0 + if s[supporting_s_base + 2] > 0.88 or s[2] > 1.2 * SPEED: + state = STAY_ON_ONE_LEG + moving_leg = 1 - moving_leg + supporting_leg = 1 - moving_leg + + if hip_targ[0]: + hip_todo[0] = 0.9 * (hip_targ[0] - s[4]) - 0.25 * s[5] + if hip_targ[1]: + hip_todo[1] = 0.9 * (hip_targ[1] - s[9]) - 0.25 * s[10] + if knee_targ[0]: + knee_todo[0] = 4.0 * (knee_targ[0] - s[6]) - 0.25 * s[7] + if knee_targ[1]: + knee_todo[1] = 4.0 * (knee_targ[1] - s[11]) - 0.25 * s[12] + + hip_todo[0] -= 0.9 * (0 - s[0]) - 1.5 * s[1] # PID to keep head strait + hip_todo[1] -= 0.9 * (0 - s[0]) - 1.5 * s[1] + knee_todo[0] -= 15.0 * s[3] # vertical speed, to damp oscillations + knee_todo[1] -= 15.0 * s[3] + + a[0] = hip_todo[0] + a[1] = knee_todo[0] + a[2] = hip_todo[1] + a[3] = knee_todo[1] + a = np.clip(0.5 * a, -1.0, 1.0) + + env.render() + if terminated or truncated: + break + + +if __name__ == "__main__": + # Heurisic: suboptimal, have no notion of balance. + CARLBipedalWalker.render_mode = "human" + env = CARLBipedalWalker( + # Play with leg height :) + contexts={0: {"LEG_H": 4}} + ) + demo_heuristic(env) + env.close() diff --git a/examples/demo_heuristic_lunarlander.py b/examples/demo_heuristic_lunarlander.py index 688d9bc0..860582de 100644 --- a/examples/demo_heuristic_lunarlander.py +++ b/examples/demo_heuristic_lunarlander.py @@ -3,12 +3,12 @@ from gymnasium.envs.box2d.lunar_lander import heuristic import gymnasium.envs.box2d.lunar_lander as lunar_lander from gymnasium.utils.step_api_compatibility import step_api_compatibility -from carl.envs import CARLLunarLanderEnv +from carl.envs import CARLLunarLander def demo_heuristic_lander( env: Union[ - CARLLunarLanderEnv, lunar_lander.LunarLander, lunar_lander.LunarLanderContinuous + CARLLunarLander, lunar_lander.LunarLander, lunar_lander.LunarLanderContinuous ], seed: Optional[int] = None, render: bool = False, @@ -19,14 +19,14 @@ def demo_heuristic_lander( total_reward = 0 steps = 0 - if render: - env.render() - s = env.reset( + s, info = env.reset( seed=seed, ) + if render: + env.render() while True: - a = heuristic(env, s) + a = heuristic(env, s["obs"]) s, r, done, truncated, info = env.step(a) @@ -45,14 +45,11 @@ def demo_heuristic_lander( if __name__ == "__main__": - env = CARLLunarLanderEnv( - hide_context=False, - add_gaussian_noise_to_context=True, - gaussian_noise_std_percentage=0.1, + CARLLunarLander.render_mode = "human" + env = CARLLunarLander( + # You can play with different gravity values here + contexts={0: {"GRAVITY_Y": -10}} ) - # env.render() # initialize viewer. otherwise weird bug. - # env = ll.LunarLander() - # env = CustomLunarLanderEnv() - for i in range(5): - demo_heuristic_lander(env, seed=1, render=True) + for i in range(3): + demo_heuristic_lander(env, seed=i, render=True) env.close() diff --git a/examples/manually_switch_contexts_with_dm_control.ipynb b/examples/manually_switch_contexts_with_dm_control.ipynb index 8701b7e6..810a6bd7 100644 --- a/examples/manually_switch_contexts_with_dm_control.ipynb +++ b/examples/manually_switch_contexts_with_dm_control.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -65,16 +65,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 34, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -101,12 +101,12 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", 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2OV9cjHsxLaynjxICLiSg+mnXGVrQWW+tNlqdoGfuUH3fuUiwmUXSXMu5ZY8YbSPPc1AuFrDPGKRSiKJ4vrycC/A4HIeBgPQo7a4WFr0CZm3/ghsk8kxBb6sJMViHpFopYnO9gnqjuVJjmRCtlGonjUW7xyx0OmiEnYMjPNs/urhphErvbt+//xD3HjzWOfsXaBt2Um/if//P3wdwGa6ZFq7roFouoZDzsX9UgxBCv0uZM+F0OuN6tYx83sfTnYMJjl1N2Ayuc992mdTZ/YMTHJ/UERqC/kUMpU4Lq990/eomKKX45PHOsru00rjQBsm0sKqUQRSBC7kye0YCLUW9Xi2jVMjj3oPHZ6eBzrHjUijESntGlp5/nxmnO2kVBTm3dYEuxIUAgOHoJCnZ77wLol102Mk/53solwqolItaer3WgJDZjAorfJjP+ygVCppvhsGRdnHG1LIhhICSElzQ/hIE88SiHofdrU7ZPiFauyOf8+A6zkptflcVz5dBknHgNJptNJrtmU5FGTUERGUKlQ1ZxM0IpIQYFcIx/TQuzkqpgM31Kj56+ARCnM/kp5RadO20c4GcQiV1niDmf9N24cJ6p1YElNgaMwzr1Qq4EDhpNHUhukzPRR/PKANjSyn1Nes6uFJQSukMpXRcm9KDRKcBe66LKE4gxCIrSU+Cbv/SQpep1sZk/SOEghAKhzHtvbXHZ5ocLrj5MmX3ny+D5BxxfXsT5XIBPOE4Ommg0Wyb8uxdEBAwRpHzPSipEBlBmVHDUUqJMIywf3isibiXi9OFgq1jQilBnCSL2xFeYiiUUuiEEeK9Qxwe1bCxXkU7CBHFidYLyvAotIS/wOOdvVSH5LyeofXwOA7T3rI4ee5Cd5QAjuPAdbW45F/66hfw/T//GZ7tHSI5pxD1WSBE8z081wE1CRNCaM2NKJ6MW6c3eQLtIESrHWiP53P2POeNi22QZFWtnbrx0Wh3tPw2pST9W5yKjWp3b6VUhGuqf+4dHGmxsxEF8YQQaHdCxDG/MLHWvt2EGk3E7XV/L2uh7i1/PdiHs36XFVvrVRSLeZzUG2i1O+gEq5Euau/987DAWeIqzM6113CXUoIbr2Wj2dIVmyesj9Mb6uvzbI7tVzdb4azjRr0HhGgpgzdeewlcCLz17v3nbwEzHqyvfOF1FHI+Pnr4xNQWms0jMI93FwAK+Rzu3LyKZqsNhzl44c513H/wBAdT1CyzFeI5V1PUaFrGc5+jV2aw+xkv52IbJEuoZWPRbHcQhCHyOV1oaLhciJ6UisU8ivkc8jkfjUZLp7yNIMpJpYtmBViNhSwL7M5OASO9Ar3ZD9K8qMswSqip0wPoiqS2D10tFgJGKLgUxo18GqOuDwCqlRK2N9cgla1pMnsht1nBGNULuAIg5cJEjc4DVkfIZQzUoVBKVwjuvR4hFCRRaHUCXRDMYRBcZDbGprk3tl+MMtMHawipU9+hpi4UN+NL9oQzbOXvKE7ws3fuTd2fs/q5bBBK8PlXX4IQAj98823EcYJZ53HGKAghOnw+w9ySz3m4e+saHj7ehes6eOO1l7B/eDKVQQJYL8lFedcW2c9sbRN1AWemRqOBarWKz/+1/weY4y2tH3oCounEM2rCcx0HnueiWMiDMQrOBWr1pmHvX7jb3wdCdFjq+vYmuJQ4qTUQDZGVp4QgZ/Rfcp6riwme82JNTRbT17/8ebiug//6g79Iy4sTAJ7nopDP4atffB0Pn+zi3oPHQ9s5ywPkOMwsNmJlMgrWq2X4vqcLdUUJ4uTiyv5TSuC5LtYqJXzzq18AoxT/83/6ztDv5nM+Xn/5Ll57+Q7+43/+/qmquPMEIZq3srFWBaUEx7UG4oSfCrv6notSsYBiIYeDwxPEnPcZvpQQ5HM+JIBgDlWJh/Vz2aCUoJjPpcKVtvzGtGOSUoIbV7dAKdX6PfH05TYoJfA9F0JKEBB4noswio1uysV8Z1YBgsd45zv/HvV6HZVKZeT3LriHZLlIK4eOGag295xRio21iiY5PTfQxli5VEScJDg+GV4jQ6EbLqiUdaXhVntxC8TQPpiKxocnde3R6XHLE0M85lykHJ5JJyCllBbaM22tCjzXRd73EYbRuXPlqGWTQmcNzeO22PcuCKM0zj/qe/VmC4+f7WtxswVDAcjlvJE1tgh0Bo/nOsh5Xveg3jYMD2bW8WPVqK3XwOqxrMK4lBJIuABjDIV8HkEYZdqcjTamCHxf33cplVHb1YkHNoSc9bqlVFouwLwovV7USywelwbJjMg6WIXUpCjPc83EfH6DPMu5uhyQSfulhcfKpQLCtDz26QlAL/Yc3GGoVkpotmbLcpoGSumQ0kefPOl+YFYEaRa5MI7x3r1PZqq6u2oTmOs68H1X/+Ocs5AoY2CUgDKKOM2mmB7aE6nfpZ39wzN3/FJKPNk5wJOdA8TzFPsb3jNIKZEzonZq2H0mumif6zhwXXco30onc8z+fHSYToeQEuOpWZVxqZRCPqfL2LuuCy5EporTo0KlSil4jgtCSBoqszXMtJdSplyivmN1A6faniSjZhU8Ts8TLkM25wjr0gcwc9Xh022PnscWa5Bo5HwvzQw4qwXrcuc82yQ0b9g4PjB852QyucdORxcpNdNhDJSSdBd6nm98zvdw/eomvvmVL+A7f/om9g6P55I9RimB67og0KUWgOHjfxHP6ax3zXMdAARJMvw9oEQbZ5RS/Z0FPYtXXrgFx2EIwggHhzWEcdx335c9frc21uAZEch6s9WT+jsdPFcb3HGSwGEM+ZyPl+7eRKcToB2E2Nk/ymyQTIJLgyQbLkM2U2KR9plesOebyqsJpRSFfA6OkWauNZoTTXSlQh6O48BxGBrNNpIpUh21m3M8ui7R84c1CDeqFRBCsH90MsSTM74dxihuXt2GUgpPdvdXIBHi7A5wwbGwapBjIJVEHHPUGi1sb1TBGMXO3qHesc+wHEqp4Bgdi3Ixj2YnQBTFwz0Oc4OWQc/5HnzPQxQlaLRafd847YnpX7CkUpBcYNEPJDYSAzp1uD+sTClBzvNQKOTAGMP+4fG5j+E4MTwPpeaSHt97322UUBjPC+fi1Ittyc7raxVECUet3pzKUM7abxtCY0aTxKoHryKWaWRdaINkmMvz0wZKCHzPw7XtTVRKBQgp8RfvNCdqY3trHeViAYWcj3sPHqPWbKdkz4uP7vhgVO+cPvfqi3AYw3d/+Ca4CQFkBaUUjuPgG195A1JKPPuTw3MUdRqcKFZ/7HMucHB0gu/96Kf4K9/8Ml64cx1/cnSMJJmdT7K9uYa1SgmFXA4fPXqKwyRZaEYDpdp439pYw7WtDRwc19C43xpz1HLSN3f2j0wdJ6lrY5nwpBbqcrBWLePurWso5HP4r0c1CDXJ+z77gtVqB91UdCnnmo5ueTNHJ3V0ghBhFJ96Cq7roFwq4AuffQXHtQZ+9u69uXGcRoESCt9z08ybVTVIFrGmZm3yQhskl9A7rihOcHB0gsOTmtltTNbG3sExTmoN5HwPQRSdK+/R9z0wE0YJDOM+C2z6JCUk3WGNO1JIgSCM8PYHH4FSc5UkQ3ymB0opKCnx/R//7NyNYd9z4RvWv5By4UajTecuFHKIohgJFxOfU0oJrhQCKPz4p+9lVEvNhv3DY9TqTXiui1YnOJe1Pwgi/a4d10y66ipC81m6uihdrhSga3u12x18+PEjnaovJ3umhFhFXKqrkU8RBrTeiNOy/LPjytYGSsU8ojhBxxBmB5FwgVY7wM/f+yjNOpv0GqyUAUFPgsMZcByGjbWK5hFKhY8fPVv6hppRilKpgCiKwY0A3DL7dGmQXHQoPfkEYWT0PSYfTGEUI0m4zhCZKr1t2gGsUyU914XnOkg4B0eW8ujagMnnfLiOg1a7Y16ks4+zyomNZkvvoqbcEUkpcXRS7+GgTGbUTAvPc1Aq5nXozxIVF5hWbCXYK6UiGgpQKoaYQk1TQgFc4qTeAIGtMYSZ71kUJUgSjshJuuN2kc9BAZxzhKEC51IrM6+ok6qYzwHQ/Boh+61AWzMpiKIhYo7jQU24o1QsoNXuII45FKYLRS/i9glDYo1jPV6HzYlSap2gWqNptEsm7wmjFI7DkPN9xHGCTnh2mrY0WXwp6XkFBo/jONhar+K43kCnE55bQdeR/Vnq2S8xM/QORyKI4ql3G5aJzgU/11gyIZoEuLFWxsZaBe0ggAwlxodyFRgluLK1jrVyCR98/FCr32Z4l6SUiGbg8djYb9+u65zuWSlfwNXNDVBC0GoHSBK+0AqulBDkfR83r26lXrNoGv6P0lySKJovf0oICSGAJDmvqtgKUoqVkDgfhxduXYcQAo+e7emQjfnchgsCMT2Py2EUpWIBr798F/cePMbhcW0V1tYUO3sHGBdWGvoeTwBCANdlyOdyuHX9Ck7qDXSejTZILOH/2d7hVOdbBAghKBZyeOO1l/Duhw+wk/CJ5fHnjUuDZEpQquOBL96+jsPjOk4azUyZM5TqSf7qlU00W22EYYRmuzOXPs06J6TGyDlNLkopvbByjnpDM+2VzLbLlVIiCmO0mbbqZcbjLiJ8z8OX33gVtUYTT3b2U4/Woq1HKRXaQYiPHz5FZLxnrutCiItT1mDV4DgMN69t4/qVTfzF2x8ubAGw2h5JSh6dX9tCSCQxR7Pd0aTZIe/e+loZ69UKGs0WgjBCJ5hdW8XChmtdx4GCrj0kT2XoTHmuzPFqAqX0PHRSb+iQ4RnntGrJDmMm9Dneozunjp6JdifEmz//AO0whO95eOPVl/Dw6S52D46XErq5NEhOISuHQbvsCjkfnueAUYokw/EEFIxR5H0PURSBT5L++xyuAUmilSqjKJ4ofimlRBjFRntg+RoLi/JU2Oq1xUIOJ40mWp0gVYG1bt9FXblUCgnXGTLVSgn5nI9aowUpCXpql14iI4ipJOz7HoqFPAilIGT+9YUICDpBaLJM5h/Wk1KPi2arMzIjz2EMOc9F4DiI2fwlDiilWK+WwYXAca0xv8az3ipi+FGco2UyvM46tpDPw3WY2TxpL/Bsj30+zzThHPtHJ3AchkI+h0IhB8dZnllwaZBMDYWEJ/jkyQ7itJZNlkGiEMUxdvYPl6bFsUqwvI5Jb4NSwNEIVdjnCQo6pfEv3vkQCec6jXbhIl8aUklIAXAh8KXPfwZrlTL++Dt/Cs7JpTEyBRS0IvDO/iEOj2sjtUrmcZ6nuwcLaFlDSomO8ZyNQqPZTktIaM/xHLNooMnW3/jKG2i2OvjOD34yt7azQkkdgonjBMigOP36y3dRKubxzgcfGyOua6TZEiTA6Ywjagj/hJCUQDy3a1AKSgnEiS4OG0UxfvrOPbSDcGkbvAtukCyPGKSzB4B2EOhiXhndotqqBjpB2CVTXc7uI7FIjsRFgGXvtzuBJi3PqHQ6Ld754AE8z9UCVhNmZVyiC26K/MVxMvcFphfLfm8SISCjSPOH5NlZcGTC8IP13L359gdGhXb154gHj57BdR00W52uHL3S9bNyvofb16+i1mhi/+gEssdr7noOfFfXQdP1kSYQ08t4W5UyYS+pECWJIbZeGiTnhznca6UASbSEtW7PKICOST+18uVKLU6lcRE47wlOu7c1mz9Okrm7tS8SlEntNv9aSh929rtkvKmq4eLS7gZ0iq1ND112mHGREKI/W+7MOXFsmLt/ZbVe1cdP90yNrNFGuj22N93cnm9SQ2gW9Hpze587owSe42CtUkIUx7r2Uw/yOR+FXA7lUgH1ZhsY4BxZ6fyz0LcujfiqFLJrOJ6VrTb1Lcs21j+dBsmcoBSghNJ6GFQLlFllwHEyyBfBql8mHFPz5qU7N/De/U/QbM2H+HtRsezFa9rzO4xptzMlZhe2HA/PqmCSOikXHfMas67rWIV3k2Ksst9HYir4uq7R7pFLCZOPuhdxzCFEG2+9dx/JQAifUoJXX7qDvO8jimM82ztMr5hRTZL1PAdJovWBBnVQCHQldt91tVcuGS3Pvyrv5cU2SFYjlRuAnng/8+JtHJ00sH94PHMRsXFYtkt20aCUpqJniypRS0BO3cdhn2XCpIf0XtJz/CgpIVirlvHy3Zt4794nqDfbSzeuLjRIzxgddxufgzIrttzDWqWMtUoJ9x48Tqunn/qu+bv3tlCia2fdvnEVzXYHjWYb7U6AxdLBh2OYR0YqCSUUVNSvI2UrNVul2Xqj1SfEt75WQT7nI45jtNrBUMHCQj6HtUoJSqluZt6smPaWZTzuYhskc8b0A1R7SK5tb4JzgcOTOgh5zsMMi7w0AlCTfRCa+iRaBnteaYP6fwTEaJqpVJWUMYYwivQXF/b89LnTIn/oEVh7zkAIQTGfw4t3buKTxztoNNvPvTG9OBBQ6KKCVjtIyDPKFsz9Np+zhUP0GRmlKJcKuLq9gY8fPcWwckE53wMhWiyvN+SgCaMMm+tVKOh06LnKBU+AYeNev/anVV4JKIjRG5JS4uC4psmwpo1SMY9ysYB6Q6dVDzuH77uoVko6g7EvfDb+2s8znNV33otc7fdzv/p/B3PcubU7y0RJCEHe9yCkgpBi6Yp3C8eCRw2lPeXTOZ+rS9FxHFOYzTFKlhKUUPzC51/F7ZtX8X98+08Rmh3LIkBNGXpbITmMJ0t5vkigVF+r6zimoutz/l4sEJRSFPM5/OKXPovjWgPHJw083d0/x43P+S9SdqNAKEkNjkFQSvBb/+OvgTGK//VPvoso7s4XxJSX8FxXS6PL4cqtqwhKKVxTEZkPhDtdhxnFV6QyAIOwSrKATaYQE2Q1z/dZC57g3e/+h+e/2u+q7Lb0wpJgVXa5lJLUq3DeJeez4ewOKaVVOLvy6HNMGyS6XPnNa1s4OK6h3QkghJGDh9KS4BOyMCmlKBcLCKPIGFCjDyZG1GlzYw2cc+weHM1+USsKO5lqkuPKDcILAUYpyuUiYpNGu394gla7g3YQnPNsswSvgjK1dsRZZyd4+GQnXaB7v6mkgiRIU5AzhbpmxZzW8m7K9GkOChcSROpwthqxWRNSQnGlvzOQbEEIMV4lgiA8LVo3z3V1EuPmQhskq2KMWEy8i19E942b02UOGKNTqAKuxj21L8iivAa+5+LOzWuIE444TsB5hGd7B9g9OIIQYmIDzmEUm+tVrdrY7kCekRpLCQFzKLbWq4iiGLv7R0txIZ8H7ALxnF7eucBxGLY21lCrN9EJQjx8sqPrPolp6k5dNIyrM6N3Dm+//5Gp8mvlF3qMkok3ZDNaFHN6JKkBBZzqUveazj6ZHLKZI0Qrx5ZLBVBCUrLrIlPQs67VF9ogucQQaIMYL925ie3NNbz13n10ghDxirCoVwEOoyCUoB0ECKMIURybCZ7D7iYmBWMMa5US4iQxbY0WF0q4AG8HeOu9+1BY3TLkl1g+CNHZe3euX0WScHSCcKnCVasHbbAEhvd1eV/Gg1KKnO/j2vYmCAEOjldHYPJCGySOQ+F5LhJT6XPoYFz6+MxAICLa3e95rjYekgR8gEnuMAf5nI9yqYDDkzo414XwHEYBorVNUmtYEYRRZKrg2l2UgsOYPeFSxG8oIXA9Fy/cuo6D4xqOT+paodBkDpzXwiyERBzHqNVbCKM43YHNkpIphMBJo6m5J7J/dzYMWlvk7AJnhOi0Pbvzk3LEGL/EVLAKmYT2aAgpBS40UVQp/Z3tjTVUK2U8fLIDvqA6PjarjFKSnp+A4OqVTZQKeRyd1BCE0Sl9D9t/SvRxF2V8FAt5OA4DoxStji4UaSXhiZmffM+F57pwHAdhFA0NLVjM97pX8B6e2aWu+2R9rYxKuYTdvcPRoWOlvfnNVhs65DNGe2Qc5kg3udAGie95KBbzaLVDTViaC5H0/AcjY6ZybaWEnf0j1BtNtAYMkpzvYntzDS/euYE33/4ArXYHSirkcj4IgDDWaV3KZI3sHx2j1mgaZU09gbmuk77wHRmee0yfMYZysYhf/cZX8Oc/excntQZc19V8FwAyUjORV0dNSjabxSLhCdqBwu7Bka75MQehqjjhePR095Sw0SwgRHNNGKNIEgEOcUkKnSOIMZAdSsEY01krQkCquO/deOnuTXz2My9g//AY7Y6ExPyfgcN0HxyHQYU6s4wyitdfvotczsN3vv+ToeRFe4zDGIIoMhuT5XtDB9+5QWyuV1HI5+B7Lh4+3UVLdtINCyUEgYpQLhWxVimhkM/h8KSGaD+GECtoLCwd9p4Q3Lp+Ba++eAffafwErU6AWJ7e9EipuSlPdg40x+ZUptaEc1iWR/JpSPu9urWB1z/zMn70F2+j1QkXME3MD9b6p4SkzGgLpYCD4xPUTWXMYRVAwzjG/tGJ9qDEid41Q+FLn30FlFH86C/e6VPtC4IIYRhD9niOlFK4feMqXnv5Lv7L9/4crU6wkB0VY0xn1snT6WydIMQff+dPUW+24TCG116+gzCK0Wi2EBlJ5cX0SdeKUFJp6ekkwXGt0VOkbjZY8qadh+d1CXnfR6lUwNb6Gnb2D/sUU88D1kujpI4Cz7LYMUZBQIzewvIXTQAoFXK4dmULv/xLX8Kf//RdPHm2h7CnUBolBPcePMbu/hGEFCCUYN4TDSHAqy/dARRQa7SQJLU0S+/n798HAdFFKIeMVUK0wfTaS3fxJ9/9ATpBON/OLQiHxzW4js6+CoMIUAqEUrzx6ktYr5bx7e/9WFdDjyJ4rju2eN0ywBgzAmUEQggkS86spJTg0dM9HJ/UEcXxSN6gUhKcq1TyYJVwoQ2SKE7QbHeMq/KMfPyVAEnT9hRg8ss1ebJXuGZUCpetiGt3cdbN1g5CMEp16l/PZDX4b0AvJlEUo9lqG/LX/O8XIQTVchGEEDRbnb7FR6eeJTg41hOuUgphGCOKY1PfQS7EICEAKuUioMx9N+GuRXgb5us51vySOE4QRtG5c00I0V61tXJJ77aSBNPaEYQQeK4DShkIIQjD87+eQVgjMowi1OoNBGHYDf/aLxEgjhO0SQDXdSGEnI/AVF9Hulkg+h7rAmtEKa1QrDDScLbvdMO806sSshnXD00kF4iZnfMUCFHoBCFcx4FSEgnXOiuca++3HDE3jPPGLAKUUviei3zOh5ACUZQs3SABoMdwkvSE6ofj7OczrzE0+XO50Dokn/0rf6tHh2S1L4NRCt/3cOfmNQDAo6e7hr8w353iyLBF+gMZ+91pQUwM/Euf+wwoofjw40foBOHSFx5KKb78+VchlcKHHz9CaFzbnx6Me87DJw5KCarlEj7/2kv4+OFTnNQbCMI4Q3un27ek31zOQ873sbt/hHZn2eUAzpowNTucMYpKqYhSsQDGKBrNNo5rvSTA50AO9RITgRAC13WwvbGms58aLTRabZzUGhO18WmC4Ane+2//n+ddh+R0SpPraJ4EYxRRnKzMrsFW+Dw+qYOY/k06KGe5jvTIBd4LXfRK4bjWADHpZGcVvjovSClRa7a0x4GLuSm+WvzC519FPu/jJ2+9Dz5Gg+QsUKq9CDevXYHnunj//ifnYmY7jBohOpqK0Nm0woRz1Bua/Ds9EVpBSoEoirQXTKoV4cKMuxYFAuDG1S3cuXUN737w8VyMa0Y1Gf/rX3kDewdHeO/eJzO3+WmB57rY2ljDnZtX8bN37/WplJ4XlPH61potBFGMMIxGytnPCt9z01B8WiX4OcYFN0hOw/dcuK4D3/NQazQRJ8vLTBg8r5QSnSAEpTTN+34eB1irHYAQTKXnMStGqUK32tr1LUR2tcIuBo/oNyQZo5p8SimEpudOfAZbLZoZciMz2VPncQMJISjkc6hWStg7OErfGR3S4Gg024iNcT8tdIlznt7Js3RaVq0ysF2A4oQPMaQm76nN7nEdBkbZqLPab5tjeofCPO/OxdqpM0bhOFSrty7RyyClQhwl4AlPw3yTIEuFXkIINtarUEqh3mjqmSUjcf+i4rkzSKqVMiqlAtbXKvjg/kNw3ppqeZg3lFIQSqHZXrabevE4PK6d+zltMSpm1BoHCYB7B8fzOQ+0J8NCSIl3PvgIjsNAaV9EbEJ0vX1Pd/bO1bNHiGbnf+Orb+B/+T++i+N61/UcRjEePt2ZuE2bzQVTp0dKhShOEMUJ2p1g5HHMHKeUGskZOE8opfDg8TM82d1HFCXzCT8SXVTtBz95C0ki0rFrh47o8bDpsksElNHUMHoO9zCZQI3Bflxr4uiksRTviIWtJbRIMEbwtV/4HDpBiP/+Zz9dOQLqIvDcGSTHtTqarTYOj2todTpTD5plT4SXGMSYHQW0MXJla91ISCvs7h/Nnb9SrejKtQ+f7uoqm0YqngutbT2YVTQUIy5FCr3rAjCbLsCE4Fzg8bM9dIIQzVZbS1HPcG5KCDzHQSGfw8Z6FWEU4cmz/fHHmVBGzvNAKUUYRWh3lps1IqUmsQohu/L3Mz4XIQRiqUCI3mkrqeDnXOR8H5VyEbv7R2llV89z4LkuyuUiGq32AsjAy5znJrPepVJpLZvn1btsocPfEn/+s/f0eEnODgXP416sgpflQhskwwZlEEYIEaFFuvr9z/PAnQ4rcj/m7HnWNWocMMZgKwSPOgehmphmBcdkxkXYYQylQsFwlXTVXiFkupO1n0dRPKhgPRY26+O8IaVEo9nWlXjn9K7Yomh5U0AwKxhlcF0HruOsBM/EZmPNU1pbSQVugnu2RVsArlws4ICepN9lTN+PfM7vpvRO0w2z1qQVpu21LHUqmODkpv9cCB0iNUXnpDpvjuD5LdpSKuzsHaQ/LxrzMmp6DRu7Rmdt+0IbJMOQpuxdGiGfKkilkHCBnT1dqM7ubEfBd128dPcW6s0WOkGAeqOdiYB7XKvjh2++DQDdPH+zaSYEuHvrGtYqJfzs3fua4DppbHmib88P85zUpUlfbbTaqDVbmb2UuqCiQJJwuI47S/xrrlCTWpZZ2+35mXN97YOnsUUyoyg2hOnpPL4E2ph2HD3l2/TiizZLKiWxXq3ipTs38OHHj9EJgqG6Tc8LLmJBSt9zUy/1pGG1C22Q6DRT2idGpWZ4yewuF4ZAtjqelRXox5AuaGtY/2wXXhsLTz1T59V11SVOYuDZUUJMN7pFtoSQOK410l24jeOPe+ZS6nMYdsTA9wlaLR0mpOlOQYFSkp53WPvPY2xYSAmVJOk4yHSNSi+UQgpEpnzC83hvhiERHK12B8+kRJwk6XWHRt9C11xKJpqT7PtpvYWUUrz2yl3kfB9//tN3Rny3O0a7XCkjqw/blv7sLJLl3NFzmiiKdWVuJXUvZpnw7Y+kWz5g8Jrs7xYTJspudFvPgw31TXwmQtK5cFEhLxt23VyrwnUd3Pv40USP50IbJK7LUCjkUpEtvSAp/fJMca9tloPnueBGiGx2nPOEeo6ns4qsAKC4VrH0HBdSacLXMvRHBvVF7DOFmVBsSERIgUazBcd19JRAUhNj/DmGZIhYSmI7CLvZJGYiK+RzRuCMZ1+cLzgsiXuiY6Bd8lyI53rXOwxSSoRxjHCgvlHCE0yjw8aolpP3fRdBEGmhNUKwtbGGUjEPoCePxxgrjBII2XWxOw4DzILvuQ6ElAjCyLz3xkhZQv2cOE5Qa7Rm1xIy3bYLdT7nQyqFIIjSd7QbhqWQSoBzCTnuvBM59rLeO2JS83V/ojjuCWmOP2EaUnadNJ1/ETpUNrGgWMgh5/sTt3GhDZIXbl7Hl77wWfz8vfsIY13/4eikrhVPp4jFM8aQy/n4xlfewEm9gb94+4NPmYBWdhAA1XIxdc3Vm21USgW8/MJNHBzW0Gx3cFyrn98OagQYo8jlfFTKJSQJx/6hzraRUqEThqCRJp/MmtWijNZGs9XueloIge+7+M2/+k08erqLn79/v0+W/BKXWBRc18HtG1fxy1/7Ev74Oz/A/uERoiTGd3/wE2CgkCVjFKVCHoV8Dp0gTBWjr2yvQykgDCP88i9+Ca12B//l+z/G5noVjuOgYUpdnDfvKYoTJLXG3LzYjOo54le/+WUEYYTvfP8ngH59wSjF9StbKBcLCMIQB8c1NJrtOVzF5MjnPFQrJXzmxdt4+/2PJspmpIzB91xc2VwHFwK7+4dQIyQSpoUm4go0mm00m21damLCE1xog+Sk0cJHnzxBqxOYksoeKKGZJ3xKCPJ5HznfR7vTgVIA5xxPd/cHakKcv1vyIkBBpeRFQnS9nd2DYwRBhCRJUq/DpG32Qqf6aa0GSz6dxMOglK6nU8jnkLi8/xzKKIZM4L5kjCLneXBdV1fMbHfSYy13qbctLgTuf/IYtXrTZGhcsIdskO5+GIUUcmkpuQSA73vY3lzH0XFdV1e+oPd0EhBC4HsePNdJSa6O4+DR092hvBKlJBrNFt798GN0OkG6eCdyiLtFoUsUDTThm0FrpHAuwLnAx4+eIow0HyCfz8F1HJzUGwvx+JExO36bRq5/nv18CtpD9cnjHR0uU/1td4IQQgiEUZxmP41tcFYM3AJqQm9hqDPW+rkZWU6on5PnuSAJzPvbe+x8+Fp2vrUhvklxoQ2S41oD7SCG6zJdzrrQ74rEkH91oWXOi4U8quUihOCI4wRxkuDRk50eLYBsse9PE5SR1RZSgjGlC45B76Se7R7AdVjf7mWmCYsQ+L4HSgjCSBeMmmQSkkoi4Rye5+iXenB09DaWoV1GGQr5HIqFPBIu0DaTVY+N09s6OBdGiVNPojPxIwfnDDXid3Mdj5ZPoAXbfN9DHCddl++CCJ+jQChF3vdx89q2LjSZJJAzq2QOmYwXdj+ngOE35XM+CvkcCvkc1tfKyPkenu7un84QI3qBPWk0UXu3ZaqAq5R8Pdh2L8dEGeNG856UIYcnuPfgkc40goLnunAcplV9F6DEnGW+yDoHjDNudFs6xfajT56cMu6U0qKKnQ5BGMfnRzId8m5LIRAEIRrNdiozMBYpv1I/S0oJCKVDjNhZrqv/Hs+yUbnQBgmgwAVHnCToBCEOj+tpwbosxyoohFEEairxgugdbTsILupG9tygoFBvtFKCW+8A5z2KnPPAr3ztF+A6Dr79vR9p/sYEJcil1JL979//ZC4Li+AC7U4ARnVqMSUEEmT4JGqMsvlwkfTk2ku87T1n+rtTRNv5oFIqolIu4tb1K/jkyQ4OjmrgNqVv7mcbDVuSYGfvEEnCQReUiaPvJ8wivnzWD+3hQLXaHURRpCt+iyHp6gpIEoFMZYmVIXgf13FSa3QXXAIEQagJkAOJAh998hgAll6jKhPIQKrzkAcppUQUD39HhRAIRH+K9rlDaY9GEMZT98MWYbz/4PEKjObRuNAGyeZ6FVubG/j40TOT4ml2ShnvtzKLFRRMVUlpFpGFdXkqrOoAUqfcfubzeZ5DKuzsHoAxpndoUwpT8WQ+k6dNLw7CEEoNY7sv5lnZarme56JcLKITBKg1muZ3FI7DcPfmdXAh8PDxs7mPmTjRCquHRzXEcQLfc3H35jUcndRwPEFRsVlhM6marTaSGeXse1o99cnN61dQKRXx8cOnWhjtDKn7hUOZWiZx0uPBoADs+Bvs/+RGmlSq39BXwKgiCwvhjCzAriTQKaie56JUKKDZak+tlL2oGTiLB2emfgwcsBi+T89JRl5Otp5faIPk2pVNvPH6Z/B090Dvyiecm6TUyn9xbLgFC7BEVtWYmCsWeIkKCj9//77+eSIS2zSdGvY2DYZ4gCThaBmyc1eZdfHP2fNcVEpFvHDrOnYPjlKDhFLAdRjeeP0lRHGCR0935l5AsN0J0AlCnNQa8H0PpWIBX/zsZ/DOhx+dq0GiQwgKtUZrIu7PpHjlhdu4e/Manu7uQ0iB5XLbleEwRIh6qAOjUzcXcU/OiheO+s4EmHeXjWckl/NRLhZw6/oVPHq2N9IgWZYHJMv6MMxoGfSOrgxGXU7Gm3uhDZJPHj3D8UkTcRSDTLdxXlg+9iXmh/MUB7IVd6UhzvFT/ATdl2XsmKMoRk1K/PyDdh+5zmqjfO9HP11ofQ2byptwjla7je/84McIgrOl3ZmpIuw4zHgaZk8TPY939s2fv493P/gIURQvvGaJBaUEjDmpvsfg2DuvfgyD4zCtrUMJkjEy5isBTXPTz0+ItGL1IFzHQamYx9b6Gp7uHSCK4mzlH84RhAKu44JSkoagn1dcaIMkDGNI2TJkq/EY1OrPOqmNs2IJSJ+JPer7WYS3TreNVENjbljqXHLavdzVAdG/HxYGOg8QomcxxhhKOR+e52Jv/2glJijNXhdQiYKK1cDipP9db7ZS3soiIYVEohTiZLwKa6GQg+u48FwHtUYLMplM3GveyPoOtjuBCcupuXubRqGQz+P6lS3sHx4jjCIspqD9dGCUopDPYXtrHU9M3aPTOOs+dUUUZ3v+JJM3w56Lc5GWh0jf456DrcEMQkzLY4TWluCMsCHZtUoJQkrs7h/1/X4WL/xKeVdwwQ2SKInBs6ZrUmaY5F2Ck61PMWtYhdABJb8hzWnhIZruEMeqmJraLJRQEEq6tTSm7upq7mj0NRqGP7q732XtwAjRGg5Xtzdx/coWjk7qEHMipc4KXeCtawD0pidKmZHEOAdwITKdihCCzfUqCvk8fM9DEMVaSReLN5oG+wF0x1nfOzgCpz1j8+nDWdjaWMMv/9KX8J3v/zn2j0bvgi1/BDg/rwljFJsba/hLv/hF/Ml//cEIg2Q0KCU9mTvTP39bPwrEiiCe3uBYuX3AEOxVV4KfUdpznN58SKnQbgdQUpnl+Yy+9f1qwYu5aV57bV28cPuG0RA5Ovu4CXBelIKs5yHqAsYrGo0GqtUqXvuV/wnMcTMd43seKuUivvrFz2J3/xCHx3Ucn9QRJ7OXFM/lfBRyPl5+4TZ29g7xZGev7/dWBXBjrYp6s2XKsI8XyHIchmIhh2KhgFq9iSTh6YQ+OVbzMXueq9No8/lU54AQgpN6c2nF1VxXV1h1HQf1ZmtlQ3qr2q9e5HwPzKQMB6ZS7TL67ToOrmxt4IXb1/HevU/Q6nTO1fWdxSDxPQ9rlRLqzVYa3hoEYwzVchEb61UU8jm888FH5yLe6DgMnuuiVCzgpN44s07UIJgR5fr6l99Ao9XCX7z9wVQbDkopvvmLX0Sz1cbHnzxBJwiHatB87ctvoFwq4Idvvo04iiGVQqVUxPpaBaViHu9+8HE65zPGUi9JkvAJi/Wdg3fBbEodR4t2KiXRbE1HzF0mBE/wwff+F9TrdVQqlZHfu9Aekl44jMF1HHAhIKQcuXNQUsFzPRQLOdTqjVMThRZLy6VCOFlAlHF9qS7jnZqaOLYOBGMM+XwO7U6AmCTZ7AOldIyzkNfqgAQYtiOwnpRudePlhxgmAaPMyPULMErhudoQWFZWoRACHcNG73ohVn/xX0VEUZxK6M/K/ThVJ2lCdFOiz/9ZZulvFMfYPzpJvz94DKW0Z0oxXsQZQnSDc19a5oBzxEm/tLgQEqGMEIRR+rlVaR53fVa23PKyxoFSinzOQ5IIcKE9HIQADqOAFVPRxadAzPddh0FBy8rbe2PvFVH2Wk+H36SUOnNpqvE5/X23afpjBQaVHrecaxVoTDt8F2g7MUZRyOUQxjEEFzMJFT4XBgljDMViAZtrFdSbmrzU7gR93+GCo95s4Qc/eQvXr26hVMif0mxgVKsVvnD7BjqdAA+f7Jx9c82vEs7RDkK888HH4FyAgGhFPPPCBGZS9j0XWmI82wPjQsJ1XFTLRTzbPxhqaFCjnumb+jtCSiTJxTFIBBdQSsLab77nYn2tgr3D44l2YfPEyhP2LhA0HWh2Eqqt4WEn8SSZrBaHVBKHxzXU6s200u2qYdyCaMWtOp0QrVYw13pRlBI4joMXbt1AvdnE7sFRX4poN8Xffl/POVY9+SzPrVQKXAj82Ztvp3yOUWCUwvc83L11Hce1Bmr1JoSUulIxY3jr3ftGooEDUHAdvdFbr5YhhMTT3QP8/L17oJRqb5ypzRPFEZ7tBhCi/56lOjrnuOFwGEs9Mwnneiyf8f1VT7wo5HJ49aU7ePxsD41WO/NGfhieC4NEGUZ6J4wAkKHuUSH0iyCFxJOdfTBGNSlW9QsLKQW0Wh3ESQLPdTNV2NRtJyk7XikFAoKrW5t44fZ1/Phn7yEMQnzy6CmCyBZFyjbAjmt1dIJAF8gaKhGt22EOw83rV+Awhnc//HhFAzSnIaVEqx0gTjg452g02ziq1UcWVzuPF5P27L5WgdB6kZFWhp3RQ7JereAzL97Bxw+fotXuIBmgfKbcMDk8Wp0SG7lI1UXthgE4x6q1M8BmOUVxgmmluQfbsyCgoISg1W4jjKIzn5U1Rq5f2dL6KEmCpzv7aX/0s+hWA5ZSZg6PaT6elmuPIu1JvnvzOoRp4+ikDi44pNSVfqnxjLc7ocn+0dWSAUte1h4VrfI8XdHVeeOlu7ewvlbBe/cemEKc03Yqm9uDMdoVuBtzKspo6pXJ8q5SojN/6s02hJCZQpNn4WIbJNZ9pXSefmQH3QjxLKUUuBTgPMCwL9iXsBOG5ub2nuiMbpwa6PploJQYyXICzoV5USZDFMcjVQRt32y/GWO6QucCkuoXZQgQQiClAE80wYwLjnYjGH/gAqFl0ikYZQiiaKV3J6sO13HScRmEUZecPSEopfBcF4Scniyty55QYsTSTk/xNnPLViAmACjTXhcAmTYeq4JFeXfs3Df+Xph7SAmIQkpIt/A8F0oqswEUExuituJukiSQSpoFVf8nhDAbQKlrXJmQVRQnhsCqIIYoOcshgmCzLp7TwnGYqbo7a0LF2cfqKsYUpWJBh6GD8IyQpfa0V8olRFHc5Vb2PbdhJRa0Sne7EwyUk5ioq93mLjSp9Ze7pFZCuuzzbFkaw39vS1Hbb8zy8tty0dNOwpOAGel7qMXs6hfVf0p0PaFKuYjrV7dxUmvgo4dPFnKurCjkc6iUiiiXCnj4dHfi8MAlurh+VVdKXauUce+Tx2g021OTlXWGhckqsoaFCYWuVcrwXAd7h8fgXIx9B6jhKl3Z2oBSCjt7hxBilDbp8w9ihMQIIdqYGDPebcaKNLWlUk8to7hz8zqCMES7E6DVDiZ6d2wfCOluEAmhaR8HCbyDmVOTXfNyDBJKaeoxXGTo0DG1p776hddRb7Xx7ocfp1lHg2BUGy6/8rVfwP1PnuDxsz10gsGN4fD7lRbdPCMcJ3iCD77/3JNau9aeTn2U5ufppxWlui/jrJOTLmk/Pw2Rs9rpVQy9SGundfm2OgGePNtLM20Ane1SLhVNSE7X8DgPw4ALARDAcezrsRwi5MJwjpfSaLYQhTHa7QChJURO+Qw1UXHgfTLcI100jBi3dIZzKL3L9lwnnTsycQlGrGGMMeR9H/l8DkopHJ/UzTxyMcaNNSr0Qpnl+2qoEUAJRamQR5J0PRaT9cMaId1HodIQ2+nvS6XSZ26NpCtb63AcB0929s7cmC5rkyGlzKyH47qaNwWFrgciI5TRJ3rw+BmiODEb49Hfj5MEH3z8ECf15oi09+EHW6/UqL4xxsBINlPjghsk/Zjbwj+XVkxbU/TpvI5ZBShoAyAMY4TGpW/BKEXe96Cg5do7nUBPQH1Hz4rTs5yU0mh+TJmimuWQLErc02KRbU+IIIgQxwmCMNTEx1nGqYltn/pMaU0hSsX4rAV7mOrySlLSbaaVePjHlBC4roNiIQcpJWp1AiWWsDmYcdM/0YJ36rvdk2uVY+sJUxN3bFg3RnWtLzGBUZRLRXiug6e7BISs3gata3SRvs+A016bUrEAAs2BsRlH2U+kx/jhcS0Nc53xVXAusLN/CJ6M9zCeOv6MjjFK+rRzzsJzZZBc4nxhheYoIeAzhKX04n+aJ5MkHCe1Bgr5PAAFSqnedc5xhrGuakZpmjHAOcfB0TEOj0/6Jgpm0hznERIj0DsHBV1WfJ5zJiU03U0um5QrTQp+1oypXnd2Fu6BUgphFCM8OOrbVY+D9bo9ePQ0/fcsEEJXU2002gDUyilgng8UEp7g7Q/uz4V0OykI0ZlCR7VGGtqbdaqgPYvpqNA7M2NWfyf7u8yYpRjgVBiTEN3uN77yBYRRhD97821MSg4UUkLE2d7/9D09I1vKzvfWS5llbiHE8Miy2SOXBsksuKheiXmBMYpysYD1agVHJ3WEcax1J0ZisvsllX5BbCxTaonHids56/SEEjiMoVIuIok54iRBEOqwkX2+VrytVCykTH8hxdTdsPyF61e3wLnA7v6hEQybrr1euK6DarmEKNaqqKuiMpsFxAgI5vM+PMdFOwhQb7QyHz+VM2uO4VTLNVLQtY6WMj+c1ynPsLeGX/e8Ozak4JzSdZaUkXyY9f47jKFSKUFwAW5Ioad6QXTVeSEkwihCEI7fmGnDiWF7Yw1BGBmyd7/uEUAgpMKHHz0EFwKxySCa9prmwZcp5HOoVkpoNtuIkySzsZNwAZ5RRfq5NUgWPRkQQ6bqTfVdbczaPz2gLeGMQHsM8rkctjbXdGaSlIjCaEw72aGgJxj7sqZEuzneamLY5eViAQGLQAg016HnO4wx5HM+1qsVdIIAJ7UGJMhEDPne71KijaCtjTVEcYL9w2NASCgMf8EHd9tnndcaV6YYLgiSNENhFhAjwOc4DoQQJpNl8jbP8hwQQkyp+DwKea0TZCsarzxMjJ+nC4u0H/dhkmc5Dkv1wpzHdGcuz2EsTR/unledIpVoozBBYrIZZ9a+YRSVUhFBGCGK4h4PXNdoICCoVkqI4wRCCoRxDAzJ8um7LELgMAdrlQqA5tCUaOsd/Nh48AA9byiT1TIpht0La6T083WGfU9/N+d72FirIIoSE1pP0hGYBuWMF0VK6+HU74UUGT2kE1/ZGPyTf/JPepjS+s/rr7+e/j4MQ/z9v//3sbm5iVKphN/6rd/C3t7eGS2uJvQCVcZnXryNzfWqTrd9jkGIqWexXsGNq9u4e/s6lFI4Oqnh/XsPcFJvIIwmq28xFsYZImVXlXLuE6FSUFKfw7LSBye6MIxwcFTDg0dPsbN3mCmUcBa4EOiEId798GPc/+SxJgeedWFElyfI5Tx4/tmlEqxXKUkSJHw+xojtQ6lYwF/++pe13s20450glcHO53OmsBnSVN5Wu4O9w2N89PCxNtQuCOx9lkrqzBMMH6qe7yKX85DL+eeiPH6RQQmB73n44uc+g9vXr6Yp2hY5z9UetZwHamI0WUN9WUCg1WGTRHOgtCEw0K7NljGLbyGfRz6XSzM1h7ZrVGNbnY5Osz5DDkIpCcdhqJZLuHvrOm5dvzLzdVk4jCHnuygXi/A8N9XyOd0HACBIuECrHSAINB/MYQylYgGlYkHzp4p5bKxX8MoLt7FWLadzxCTPY+4GCQB8/vOfx87OTvrne9/7Xvq7f/AP/gH+43/8j/gP/+E/4Lvf/S6ePXuGv/k3/+ZU51EDA3Ceg3EchNBx8dCUJ89K2pkdaso/szVvSX9WeCgIwlQxMXU5Ki3Qtqx0ummgx4tWuM3nc1irVrpaF/Y/pUwpgUi7Ks3ENMl/feeEnsBCozGTJWWRUoLtzXW8+uKdM40BzgUaRq2Y8/mEDWw8W0qFg6MThFEMMmLyytYewc1r23jxzo0+208pZdzTCeIRtVwuMhyH4dWX7mB7c33k5D8JJhuB/WPRFrujlGQet+cP7QNqtTqntJgsN6FczOPm9SvwPE//YtrpcchUKYTASb2JIAxHKOLqueOk3gQlBLdvXIXnOgP6Vaf/KCWRcKFVxQeI/KfugJGhoJQgCKOJixqeBUq15MLnXn0Ra5VSyt8ahSThWpRQ6NAkoxTXr27h6vamWSN0JfAwio0C9+Rr8kJCNo7j4Nq1a6c+r9fr+Jf/8l/i3/ybf4Nf+7VfAwD8q3/1r/DZz34WP/zhD/GNb3xjEd1ZCGxKW6PVQcIFKJnGIFngCz93T0I3Tq6LUGnVW5vhwJgWE3OYg0jFQ8WJ5tON+barYLNqOHK5Mor5/GlXsDFKJJ/fAmlJldlBsL25gRfv3MS9B49GHsuFQG0C3kUWUFMcT0qJh093THmEERj3eMyBN69fQaVcwocfPUyPU1BQQkHOqoa+ovaw4zh4/ZUX8fHDJzg6aSytH9rbyVLy8FmG3yKMkqyhJpuCfHhcQ5zwvrFleRilYgG3r1/FweEJwnmFi815OBc4Oq6d/VWlcHRcQ6mYx51b13B4UtPelDPqiVkCab0xTiiTgBCaRhoarfZcy2lQSlEs5PHG66+g1mih0WynxP5BA4IQAi40n8+KhhJKcOPqFjiXePDoKYQQSAA0W21ESdKXcr1Ug+TevXu4ceMGcrkcvvnNb+IP//APcefOHfzkJz9BkiT49V//9fS7r7/+Ou7cuYMf/OAHIw2SKIoQ9ehTNBrLe5kthNS76nqjqe3eleeQzA4pFdoda6H3W72O42C9WsYLt27gg48+QbPdmXDBXQ6kUog5x/7hCQ5P6qCELK3K8CgopRCEId5+/z7ev/9gjHLvfOG5DjbW14yHROKoVofgZ6cQngUldZz/z958G5SQpdUrWgaiKMJ/+vb3wLmYWFNiXiCEwHEdbG2sIe/7AICPHz1dyflLc5UEeIOnYRELK1feagfY2Ts813diGJ7u7OPg6MRwSea1cVGQUiCKJZIkgZDz9f6HUYy9wxP8n//tz0ApwZXNdeweHCEZ4tHI53xc2drA7etX8JO33tPS/jLGD998O/VsCqOv0gnDlEMyKeZukHz961/Hv/7X/xqvvfYadnZ28Ad/8Af4y3/5L+Ptt9/G7u4uPM/D2tpa3zFXr17F7u7uyDb/8A//EH/wB38w766OQbab2T/4xhyzeu98ZiiotGqnJbZKxdOdrQ3lNFrtVHJ4+S7f7OBCIC0vvILdllKaMgIY3j8C3L5xFanqaJqRNBusGxZmJy2F7CnRPl37SqFnN7uAm72U5zd+168UThX9pJTCMZLdScJPZRWlaemM6fsusxfnHNVNpbT7HZagOfgoF+xhmogMrjSPYtgxvamq8yZYTwpuMnFSzGkMWu+sGiIIOHPbSnv6W+0AnqdNAddxoABw3q9SrpRCFEU4qTd1+jP05iLo8UrNgy4xd4Pkr//1v57+/MUvfhFf//rXcffuXfz7f//vkc/np2rz937v9/Ctb30r/Xej0cDt27enaGnOM5VK/3dhMIuRoAC4brdSpejIlPnOhUCj2UYnCLV093ntuFby9p/3IqvZ/r/w+dfAhcDRcR1RHM+lYJwUAp0g0BowZgFQc9kBruSDWxDUkB/1iuIwhkLOx4u3b6LZavcYJPqLhDA4js5m0+qnArHkGH3/xqxUStd1aTbb2sAcxl+a96OZVaxtRIdm3fBMe/xIQ2YRQ1rZv2Z8RkO7bPlxHO2OLtiYy/kgkb7CKLYkXgLOOQ6Pazg4qiFJkoW9vQtP+11bW8Orr76K+/fv4zd+4zcQxzFqtVqfl2Rvb28o58TC9334xr14ieVCSoUbVzdw49o2fvLWe6YyaHe3ws9QN3UYg+M4KJXyqTLrvMqnf7qh7/efvfnzied+SinyOS9V1hwURhJS9hHpFll7Y9koFvJgjKVx8iy7PUKAUlGXNwiCUDulTCaRbWO4R0Ol1YalUni6u48k4fA9V6dJmmMIFHzXxQu3r6NWb6LV7uDopD71NSqlCwzKOIFekKZuaib4nmtkE0ia0jvSQHrO4DBmRB7ludQ5OwtCaBJ8tVJGIZ9DIZ/TmlJRhK7Vo/oKwy6ytwtPDWm1Wvjoo49w/fp1fPWrX4Xruvj2t7+d/v6DDz7Ao0eP8M1vfnOK1qekT59Tc4vAtMz6ebHmdeggQbsTmMljoH9nvFyEap2Ju7euY2OtAtd17UVN/2cqzHLC1RwYSinUG03Umy3IjKJclsGfz+WQz/k69W8Iy94am8+zMQIApUIe1XIRjsPOTNu0sAU9S8UCioW8Dr84DL7noVopw/fcsRlnNlNNKU0UTGuXGCjznSCIuhVYz0S2Mar6wm4LHttDmsnlfBTyOfi+h2Ihj1KxkBopK/RaDcVs2U0U+ZyPUjEPz3NTtdZz6PTIPzZjNIpjBGFkDOL+d70/W2Zx42buHpJ/+A//If7G3/gbuHv3Lp49e4bf//3fB2MMv/3bv41qtYq/9/f+Hr71rW9hY2MDlUoFv/u7v4tvfvOb02XYrNhA7cVF4k9M0tUk4XjybA9Pnu1NUDPFvIyEopDP4a9846v42dsfotMJjQhZ7+AfNYFfoPu5JERDBJbOguUmrFfLEKaEeBTFkJ9Sr9XW5jqKhTwarbYuZzDGANPigAxXNtfBuUCz1dYhmHwOd25dx8MnO+C1xkiStM604hCc48a1beNNkYjjJPUUSOOh+vDjh4u45CmQ9T086z0mWK9W4LkuOp0Q5XIRBAQntTpqjSaCUfLlQ0+9YMLLPJs3nrON9SpKxTwOT+poNttnyrVP1vz0nW222mi22rN2QP/VWzgwfWbZxs3cDZInT57gt3/7t3F0dITt7W38yq/8Cn74wx9ie3sbAPBP/+k/BaUUv/Vbv4UoivCbv/mb+Bf/4l/MuxtLxfNqjPSCUoovfu4VtDsBnu0eIAjjM1PdACBJEtTrTfzJf/k+avUWOkGYKlpaaM0LhnzeN0SqeG6y6ssEYwyuo121XIih6oznDWV253sHR5AmDfl50/6YBI+e7sBhDEEYn6kNYaGgXd4Pn+xgc72Kv/bLv4S337+PRrOFB4+eotXuZApJKgA7e4cmtVKYImoXe8BbMm4h7+twoNCZIlbp9ODwOPWG2NIQnSBMVVZXBtp+SuEwLer3C59/DU939/Hk2S5evHNLE/qbOnV2lK6Q1TM6rjfQaLfR7gRzzUTU1Nfl5bw7lMFxGPL5HMIoQpLwia9v7gbJv/23//bM3+dyOfzRH/0R/uiP/mjep54rGKVwXEdrbkgrA30BJok5dpHqWeWU+067pV24rguHJXAYGxADGg69+4vx5Nme5iuMmKyJUQW1u8V5gRACz3XAefaqsPM7tzbi1qplhGGM43h6HgAwOjRm5Zut299+b+j3zbPtBBFSNv+8VC57+oCBlM1VRbsTpNoXWbkMEkCr3TGqs1pkLOG67onlU42q5NqLIIzS38+URbNEWE6MguoLZyUJR3tA0CuMIhMypGkK9LBQwXhMe68mWLh7TmGLbOqCcRQwZSCklGCUndIwGoRUCmEUgcYEcZycOcYopcZoU5m5dlnXqEUYLp7nwnMduI6DJE7A0S01omS28z23tWxmASFAoZDD9uY69g6P9S79AmhqzBOMUXiujoHb3Hr78lTLRWysV3H/waM+UlaWaqtCSjTGuAalUrhxbRtJnOCkNj/NGd9zcXV7U8vch5EWWzon2Njr5199GYfHNRzXZjNIzgI1NWEAHWIb5fWwheDknFzGvSBmoibESP8v4BzzRhavSC+ssSGlxN7+Ib7933+UCo2dXWTyNC46P4cQAtfVi7Q1xCgluH3jGk7qTTRa7b7Ft3uvL968miQcP/7ZO4hjDp4IPHzyLDVkxRmkfsBuysY/a1vGopDPgQuBeqO18mOkWikjn/PQaneMTpeC52pJepFRmfhTb5AMsyjteKKUwvfcsWWZFwrTlz6i21S7zfHHUKpfKuMYQaVcRD7n67LqrbYJsRjjw/wnhNAppnNix9sJ/qNPHkNJlSrizgtKKbiOA+nJmQ2SSfoljKTyT9/5YOzOaCYYXsi17S24roO9g0N0gujcxy813qjPvfYygjDCz9+7d67nP29IKU1mQr9RToyVrjDte9vfli1AP2lbiy7nwCjF9StbqFZKuP/gsSbgco77Dx6n6cqrhemeBTdeHJ0dpOe8MIphPS5qGu/WkEfjOAyFXA6MsokN5SyYxNuf1ZtyUqujwWiqyUIJUMj7KBYLcCjwswxtXGiDZJH1FjT7XUDL947P7Z8vTjfIKIPrOvB9z2gIzPcF1wRH7RUBNEGSUgrXdeC6jq5kmnBEppaLlo/XaWvznmyUUqjVm+nP84I00vc6LDyrgTcZdPxYnVvBONd1zO6EjvMiLw5E18q4QKWNpobmk5wObRJCIYXQBvuM52CMghLaIzw4Qf8WOMZteM51HeR83xhh+n5k8QRetNpXgyTlmZWd+x5N914QE1KVveNq0sc4DwG1jCcNetTUqQlt6cwzCi9jNhFRF5A91Wg0UK1W8Zlv/t/AnLOrn04LQki32NC4GN45GCSlYgF3b9/Al994Df/pP/93nNQacz2t4zCUiwW89soLICD44U/eAmUMOd/H66/cRbsToNUJsLt/1Bei0emgixtC8x6ezDxThew8gYsGG+cmhEBIsRROguUQUEJTaelPEyil2FirwnNd1BoNxHGWlN3RsNlQnufipNbQxQdX6J7qQn1mzKXcmWzHXiSDZPHQ98K+w1pZV03vJVnSrbWq3o7j6AhDEuOD7/9vqNfrqFQqI4+70B6SiTHBvKxrJ4yzTKeZ6PWL67lOKgSUZWLhnOPw6ARvvfuhdhFmIWxMAEsqe7pzAGsTW7nypzv73UVFWQ2D7nFZ2l4VSClT4tkq9Wue6C2Ydv7XaEm0xliFNB/Npx+UUFBKwByWVjMmIKCMggBDasQsa7FT8H0XOd/HcW0+hq/jOPBdN7Mhbb2eN65uQyng8bPR5TnSY8x5XM9FzvcQxwla7U7antNTlK83DKhrl5wec3ZhZQ4ztWlOb2BmuTdnGTMEwObGGvK5HHb3D88UbZwElFJc2dpAaKrvxnPNDOqS0EXffZqy3+lh2d8Dx2FgzG4kBjw0GZvTr7wJuSM7R+rTY5BM8TzPHrzTDRC9c+ySDqWQaHU6Y4/TxKYm2u3O3F6A3utTUmcHHB6fpBko9s/RSQ0Oc0ApTbMxLmomgH1R5tjaSuL02B03Iam5X85cjSHTfcfRqYU530enozNZKCXI530wylBrNPV5J9Q/GHW+aQ9WSqVl47sGxHQbGA1lMqjs4j++PWtAbKxVIaXEk2e7Y3tgq+jmjGAZJSQ1SBzGUCoVwBOORJxW9R32vO1cl8/5Os0VgJxjuHlktpkJI5UKBVQqJRwenWglaTkoM3BaTGl4Qlr3e5QQVMslMEqQJAkSnsxvSuntyVwbHchfHgFCAN/z4PsuwiiGUny4QZKhuWm4Tp8eg+ScQdAt294riWwnEkoJXn3pLhij+MGP3xrbHudiocQwISXEkPLdSinECT/XjJRJQalOH7Q6Ds+r52NaaPcpTIE2le5WdEiFXAidF2o4Clsb6yiXCtjaWMP79z9BvdECpbqOz+baGv7j//nfoOSyCzvqRe3Jzl4qDT8tKO1y2PYOjyZKy7bGxZOdXXCRjcNCTOiFEoJavdH33m9vrePXfvlr+NMf/xS7B0eZ+uAwB9evbOGVF+/gRz99G62M4ltdlVuCKI4nf6eVAmUM9WYTQRiOHA/UGC6UZn8PpJI4OqlBSgnKKJBSjRcP+x4DSLN65glGGV66ewvXr2zhh2/+HDwRmkvoMEip+TOLTOG/2AZJpk3HkiYmo8qX8304DkMcJ2ianYZm5MfY2TuYa/z007oQO4yhWMgjl8vh6PgEXIziTazQ/TnHrhBK4DoOqtUyoihO+QyFfA7FQh6HxzWdPbDC46dSLuGFW9dBKUXCBZ4820MnCNO080dPdnFwVBubdpkZ82hiQuLpMLiOJieXywWc1Bp91VXHnt9U4BamQnOWi1JSGnEy7THVC54+rtlq4+3376NWb+pqwRkgpMBJo4GPHz1BGEaZhPco1dWPr25voFwq4s9/+s7EmzEbJghMej8foXFSKRf1RoYLdMLwTFXd9Gepxdyk8RQPMxIXwYshhMD3XGxtrqPZaiOM4gkNkvHPXyqJg6NjhGGEKI4Boo3DjbUKwihGrdEErMdkknBQxhfhYhskq6wdD82Kz5lc8k4YpfobUury60+e7QGY3pC4eGSwYdeZWX9+BHSaa7FQwFq1hHqjoePUY1RjP02ghMJhDNVyGW3aAUCAOEaxkMfGWhX1elNngszhXZomnZBSk0Iuh5eZB4BSoYCXXriNeqOFw+MTPHyyk+5mpQQePHo6c99XEY7DkM/52NpYQxCECILsBomEMsKCJsRrb60hHOvQluqj+OhMtCQNx/SGv5qtNn76zvvdE2R4nTnnOKk1tJ6QyjY+KCUol4q4e+sGrl3ZxJtvvQeOQQNo/NwnzMYvvY4hLZRLRQBamK43S+QsSKXSgpOjpu5FbA4Zo/A8D1c21yG4AOcc2UdDNkgpsXdwhP3DY1CzkfE8FxvrVTSaLdSbzSFHZbnWbPfjghskqwuldOqslO003bT7O0NcmvEchACFfB6UElMcKVl58ZxB5HNe6iJuB+EU3BRdibLWaCKMogvLbVkkhJSIEo6j4xMkJvQXJxzNVkcX1uJLysShBPmcjxtXr6BULOCtdz8YIPJ1sXd4hO/+6Y9RKOQRJ8mZ3pxlymfPG1qzBtjbP5rIGAEwcoLxPQ+vvXwXJ/UmWq22LsjY6wFQGL7STsurnHBxVlLipFbHmz9/D47DkPDpOXNnnVtBy9VbtWJNks7a7tRdmhpKQStd7xyg1W4vrPyE9cR84bOfwXGtgcOjExwcHiMIo4XryVwaJHPCsIEvhUQCnrqW539ObTXncz6qV0p4unuQEtDOA4V8TisPJnwmolq5WEC1UsaDR0+RDKkgPA5Wkl5KvdjO0yjrv8bzM/bmyoFQ2nUehCGEVGnl3iiOjZaM9o4sg3dBCEEQhqnI1ChwIdA0tWGUUpoPM5BtYjM69MZfXTgv2TBDSs8bCdptzC11WkqJVqtjasuMT8+1PBabOXUmZt5laQ+EDrUkRotjiHeD6BR+G5rJZvScvr9BGGmya0YBRgKAGMFMLkTm0NU8oJTWfLKJDaNq5qR9ndKDbrk7rU6A0FT/FUIM5RFaeQybNapMFpVUk8/jwKVBMjEmsfal0pLZrQWpZGomP0WxUMDrr7yIRqszg0Ey2eghhKJaLuqFut1Bkox4Oc5q1uTYVyslvHjnJp7s7GlX8cQ7Ku2anveOgRCCaqWkr7HZ1sYS5mwsnAMUFJRU6AzwD6I41nHiJeO43oAU8kyvhzWgOOegjMI3KamWM5JOjJ6rK/UKgTlrB54LBseWkAJCiqGZddaAmTRMxrnA7sGRrlWFs+c0SjUxlhIKqVQm2fOZYIzJ8AyuDKHa8PQ9V/dpKk0Wfc3tMzMcTy/olOrwZ6Vc1PWK+PmR6KVUkJJnVl3Omhp+6jNz7O7eEeIkNu/d8PvLjHhmuVQ0fCVtpCUJh5hiQ3BpkGTEpDxqkv6vu772Fhub1xDmQu98d/cPJ66fMRsUioU8PFMrpTGNxLsCoijGg4dP8eTZfp80/dJh0rMr5SKiWMtgcyGgLlhIbFVhtSw6HV3pVfX9brRNyhyGaqWMV1+6gw/uP0St3gAXAoQQ5H0fX/7C63iys5fqTlwUdOeGxZ9LGQ9EFlTLZdy5eQ27B0foBMFKVKlmVHPzPvvqywjCEO/de5D52FnzYRzXQT7n48rWBg6Pami3gwu2PRkPLnTV7zj1oI2+wnKpiFzOQz6Xw9b6GpRSeP+jB/rdm2KqfC4NknkuajaXP+d7IFTLQLfMJHoWHMZAmU77tcQqx2FglJrd3jQv9unr4pwjCCMcntQQJ/HI72VsbiLYUJS0TPwp2lMKE6UVn4d3ghCCnK9fMkoZoJI0m2OlvCMr1JXMIN1K2pQQRFHcDRtYDQRPS95HcXyKN6GkAjf8l9TNbjgPQko0W21EUdx186/KPRrhPbcpp57rQSoJfkYxxF4wSkEZAzXKqJNWg806R3LB0QlDJDxJM25mj8rMxvGxOkjtTsdoZYx/1oQQVMollIp5HBydZAzt9jSY7iV16mu7EyBKEnM3prkjq8FzGjUOso8P7REhJNJ6Wgp9BVcnxYU2SCbJyZ8WtCfVyvdcRHGCVgZGv+e5yOV85HI+Do9qAICc7yGX88EFR3RsazzM1v8ojhEnCVqttpnIzmciVkphb/9I7+xI9pLpK7Wgj4BOOyxje3NdG49Jgo7hOWTC6l/iHDFhqA/aSC8XC2CM4UQ0jNtbghKKcqmIjbUKcr6Ho+M6ngb7PefR4YZ6o4Vm66M+1U8ptZv/7ffvd4X7etNHhvTkXDGiGzaToVopgXOOhiGYjivS5roufN+D6zgIwhC8bTZJc76sZruD9sPHAPTmYR5De5o5oNeIkSZE++FHD/WzzsDPo5Ti9s2rePH2Tfz3P3sT7U44GSfMdJlzDikEHj3dPc1d6XPzZW96/F1dDeNlGNqdAEEQgjGKo+MalIKRXei/N1nX6QttkJwHhPFmHNcaICS7EE3COXzlwXddMKZFd+I4xsZaBUK6OCGNueg+2JdKEjJdpckZYHdy5Px0geYKxnTBQkoo4jhOSWJKSjSbLSQmJmpjo33HmsJRruciMVyGVdbxmAdc18HNa1dQb7bQ6QRTe/mUlPBdF67r4lgpaN+u3ml2Oh0oKXH92naqGKqFscyxxpuiFDk1ydkChisT9ssAazwV8zlEUYIT0czUf1t0rbxWgJQS7fZ4r+20/RNiBe4n0ZvDnO/DytZPshN3GMPxcb1HYHK6a5JCQhmRvs2NdVQqJXzy6OlE1bSr5RJyvo92ECI2G8qLCiEEYARAHaYJ5afLN2THpUGSAUIKRFGkWeYZd8lCSiScI4yjNKtBQU2uOpg5De18J43eXc6wUxNTJVmZUM7CPSOTNq8dO8jnfHiui3Zbp2knnBviH0cQqNTaH2yfUgrf87C2Vkat1kAQSi2IsRSQlLNkF+7FnMWQHJkm9kVI9Ll73NkjjyVdA0L2xaf76yJxLhBFMaIogpACjkMRx+TU+JnV1bwqFrTNXImiGHHCoVS22j82M8QSewFN9uzqikzgGSKW89Zj5Kme35Hedie4uDlu7An0JmCtWkacJKg3WplCqATEFP4zf8w1zjJfKqV0fR7zR384+KXRx2sFb/0OJZkyYZZ00zOCOQyb61WEkRahswRzq0o+ya2+NEgyQEqV8kCyQccZm602mgNSyc/2DubbuRUFoTolOVUyXDF9EPvabq5XUSmVcHRcw0m9CdHuGIl1icQYocPgOAzVchGf+8xLePu9+4iiGMuiUNoUyG5l0MXcay4EDo5OTElxpusyka60ea8sfS/sBCylhJKa63FwdHLqe7YoYJwk2D88SWWyCQWWdnMXDG2EcTzZ2ZvoOM61+ujTHS3QRYz4nTLPYBJvHYG+z5TQNK3aLvSUaOFB68lZVio1oRSO6+LVl+/ipNZAo9nOxFClTBsNjsOwvbmOG9ev4JPHz2ZK4bdVbDthiDCOISbU5rDE4NUNxEyGSqmIr37ps3jv3gMcHtfguk5q8AkhJpK8IOoi+TcNGo0GqtUqXvn6/wjmuHNseU63YsXu6DJ4G67joFwsoFgsQCmVfcJdaFf7GyeEIJ/PwXUY4ljrjBBCcP3qNjpBgGarjSCMhu6mqEl3q5SKaLTaRsBqOQ++kM9he3MdYRQjjGI0mq2F9cVxnHQd4JzD9z3kcz5uXr+K45M6dgYMbquTs7WxjiCMEFn56SGglKJcKqBULIBSik4nRKPZSiuGXmI4tIHo4KW7t9AJAuwdHE00Hj3Pw9bGGqqVMh4+foY4jk3RQop8Poe1Sjktd3FSs9y3BS6nw504oJRirVpBkugKxOOMLkoI7ty6jrVKGQ+f7IAxHWY9Oq5lIg6fBcdxoOlzZGItEsYYKNUXKYScr77R3B5L9oZc18HGWhVCCDiOg2tXNiGE3lg8frqLOE4QRSHu/9l/Qr1eR6VSGdnWc+chsda+57la0VFO8MBXZNab1IDQbkmaHj3ryzaiU5N0SP9ldiajWfDLveG9aaeAjjO7rgvHZWAx67mnp2Hd7AdjPGc2i2KRFZJTrYiEntnnaTC4qHHerzisC/cReK6TliwfhN29a97Nae4HYKuzapl7RnURQBv2XLShd/FKMJwGJYDnOohjNvGapOdMXUDNaGLpzwkxHhKaVinvYoHPZEjTCgRC6KJ2mU5vq0MzBs91IZVEu2XSllX/d6YBn0FbSnsNuv/une9nVhme12Mh2RqiRoiw1e7AdR24rqNF4/hkXrruaZ8zD4nrOFirlPDCnRt4/GwPzVYb7QxpugCWvT6mmNQgYZSiWMgbVUOZFvGbc6cmgl2kAJvaO4y4tSI33MBOwPm8DymVkVifnnDmOAyu4yCX8xHHSebiYpOCGLc6M3HbeS7i49phJrUdQCpINtg3600Sho8zyoVLoHeejLGUu3Me6rgX3SAhpjaN57qaWzKhm5wZUiJlNPWsWLE5xvQYtsXpFrLZyYTJnxEx5FNKKfgwEuwKPvaVKXuQsRvFQgHlUgG3b1zF0919tDuBDv1xnYoexToFX/Dk0+AhURhc1KTUVRv3Do4QGlngvq8vEdOGTqgxOKSUWgWPJ33cBsYYKpUSeKLTJ6uVMpqtNjphZCp3juzQVLDu01KpAMEFwig2Ogj9aV4p83wEG44QnfJolUSXLWSllIKESrUNJl3TrX6J4ziIrQIqAa5sbaDRaJ2pPjnYj9429X1iaXXRwUXfLiDCcjnOcdHoTe8bdr8spyGOk9RlrheI0wqXCl1RpvNI6e/tY1ZQs3gX8jkIwdEJIq1RZO59FMVjJb3PwjTGkSXGaqIwNDF2AkiloAQHEaRv7FjNDWU5KUvduw4/tzZ4tXIqFFCrN9JvWpI0ISLlsmVocjjOyU7IukZYr7idg62hqL0vo2tTUbNBcFxmtFiG876yeqCM6kOaih2Geu6USvPFum1nzIbK9K1VxsB12htTq7fAhbaKF5/gsbgT2AUp5/vpw9Ux9f5Fy2EMUkhQ6uDGtW3s7GnNhqEGycTdHTiAaNd7PpdDwhN9n+XpwlRZFkbXdVJ3fasdLD1lUylkLiA1aDhQQuB5LnzPg607oaSC77mpF2HwuCwghMDzvFRzIRDiNKn/HBfw/vOOvx7bN73b1tVrm63OUO/Tsq4jKzShkaKQ9xHHFGEYw3VdMEYBY4RPW8cDmD5bThslo8ftWYZO1/g+fW6lFMQFeB7FQh5KKtTqDfMbm9GVdZMzxuJYMeNFQYESgmI+Z6TzJVyH6arFYWi+oU55XByHwXEc+L6LIIiQqCk3geZ+2PY1yVqLpJ2a9ye4H/MNOK8AlNKVdRvNFjqdcCWkjmeD9gJRYkuR50AGeAJRHOPhkx3sHx4jSQT+8te/ipfv3kalVAIlVJefp1rVMevY6E2VGwSBMm5i3adczj9zwiMmDk0pPfU9z3Nx/eo2vvDZV+G58yQony/sQsIog8P0S2+LhL317j082dlNMxgmBaMUm+truHF1G7dvXgPtMW4uEqx2w1/7la9he2tj2d2ZCjrt2YHrOGCOVWPWHBnPc/XnjOGCR4Emhk3L1dc+/cXbjKysbVCqvZKMURBqN4erZ0BRkyI8yRw8vlEgn8+hWMhjvVrGlz7/Kq5e2TR3YPg92Fir4srWBq5ub8HzZp9vtVKwRK3eNArJM5KFZ+7RMjG3pJgVGMAjuqCgvT6tTgACYlQcT3t99E5GoNlu43s/ehN7+0doBx0AClc2N7CxsYaHT54hiuKxhCxbfrqQz4NSisPjk1Oqe1xINFsd8/PZCy2lxLSlCY2NZjttJwgjHJ3UEAThxCGbVdtJ6zLmIZIkQcx5mg44q+YBFwK1RkMbdDjfkMw8kSQcjUYTb79/H41ma9ndmQpC6CJ/9UbLcDWEUarUwlBrlTJACJqtVlp8bRWwyHeFMYr1aiUlVB/XGmnRQ4ssBobjMBQLBbgO05WdDe/jLEipdOZWvTnjezHH+6OAbkyjq5/iOg7CKEYnyLhRHnPLpJQ4qdUhlb6/9z95glqj0R92G7iuZqeDMI7B2lp2X0px5vo3znyK4hhCaO2gkeJwE9iIF9sgwZKNibmcelgjehBYMSmlFIIgTL8u1fAnrBTQ6QT4yc/e7batFCqVIm5e29YFxzjHOIK45XaUigW4joPjk1qf21YBUFKmZOFhbnb7bxty8j3X5KcDjWY7Jc3FcYIkTlCvN3UcVK2EeTgVpFIIowhRTPoEvyYFM54kGxdWSqHZbGsnbBoiWeZdsuOzl1Ywvj+cczRbHM377RFjmKQ7yW6q72qNBs2HkamhIaVEKGNN3HUYrmxtwnUdJEmCKErAkSUb42K7UwihKBYLqQ7KSf10Wvc4g8hyiwr5HHzf04ulkOBjQgqWnxTHydJGis3i6SfNmvkPOpRbKhSQy3mgrY6psJ2ht+lXhudBS6lQb7Rg3XH1RnO05pNpotMJ0u9nMeDGzcaxqewrzRow7PuT+IQuvEHyPMJmZ/g5D8kU2RmDHpCHj59hZ+8ASZKNfa+URBBF8DodOI4zckhmGtCGWNZqd1As5DWXIiVBKpMuqvPy2+3gwsuvz4MD8dILt1EqFvDoybOUFNruBBBSTUxYXASsYFkxn9NxY1MWYRyUkmdOb5QQvHD7Bm7duIo333oPYTi512zxOM1NsCndCVd4ursPQnBmyfbnDUII7O4fGkMa3aKHE0AZKfwo0okIQRhlKtPRy3FZRraU6zr4jV/9Bo5rDXz44CFqtcapOVYBODqpgRCS+brGwmxMTrPJzsa8yckiM0cnGy60QbJycuRzbIBSimvbm2i1OjhW9ZECXZZM6XquKfx0Ov874aaCaOpdGdNrpV3TnSDskQCehXCnyX5pez19z+dyWkODUgRBNPSFSbknZnFeTZNlfr1qtdqQQoAQgkJe358ojqESNU1F737Mo5uGWZ/zfShP64UcJ8nsarwE6AQBjo5rgJL6g1V82EPWvW42UQyYmlfLk7Enaa0lxiiiBYv2WbVZm+U1zbkUdLmNIIgQxQnkFHyrSb4/D+OFUs2NcxydWjwsNGHHhfaKkAnHRX9/LecjHlp+ZAjXz3D37CbpTB2kBdpyCtmrpF9og2QumPo9XexMSSnBtStbOHZq6AQBwhEy5oQQMMdBsZDXrGkkkAMeEp3aNdySHfVy2BLb80K3qFUXtpZMmmlDKTBk9+Awlholtgje/LCkFe+M0x7X6mi22sj5HoqFHPL5HA6Pa9pbML0e0/yg9LPzPS+d8E5qjTlsEBTqjSaCIIIQEmQlrRGM5nsphURmfEDTaIxNsGik2RSeZzQhZhk44088ie7JKEgp0QnDmdvJgnkYL1ZjJzEy/kIM3yzNqqejPZI6nAUFCM61YdP3rdMGiiVa8zQV+Axvxlm34xwdT5cGyQpCSoE4TnB0XEOr3TGk0dHfZ0zvpF3XQRJznNQbF4L4KJXC7sFhN3VshCvT81xUKyW88sIdvPPBRzg8PhnZZu/ccVGjP1EUI44TdIIQ9UYLhJBzUSzNCqUU4oRjZ//A/Hs+RFspFcIwQhTGKV9m3iC2CiGWT4qmRJtc8+4HpZqzYEXBWm3y3NYCWiaE0B6d73zvRxBSghsuxaQgxPIFh48FRnX5hY21iha+bI0nhLsOw7WrW7h98xo+uP8A7XZw7iFEyx+cZHxfaIMk5/vgctrCbasxuQ+DDpkInNQaCOMYSdIfr+7/roLgwuSeaxfdzetXcFJroNXuLH3SHYfhOys18B2BMIpwXKsb7Yrh10QIweb6GrjgCMN4dGXl1b4lANDjZl1Nw5JQXWCst4/zCKGO0sOYB5hRjN3e2DAF/I4Xcp5x0K5+hqtbG+iEUfYMkSy3hXRDpFJJnZk3JCtvMvQcvPDd8uoRfM+aQ5VS6ASTeXV6PS52LORzPpK0evMAB0VpgbpOEKRCZuMeJ2MUnusg53sp32TqQXAWuXYEfN+D6zhwPRdhGKGT0UN3oQ2SYj6HZic0xJ4LsMoYnJUOZxcipVTfDnQUWVLHJyWOT+rI5XxUSkW88forePfDj9EJwvkQqIZfxZTHDQ5qNeR3pnyb+VUUR4iTntS+EaemlOD2jWsIghCHxyeaOyPEuQ+NZeYJDTLaF9EXSjQ3oVwqaKlyK7G/4q8gYwyFXA6fe+1l1Bst7B0ejT1mWIbArPeUUoac7+H1z7yEvYMjNJot6GE9+w0kSvfX1mgaVYF5LshoIGU6psdzNdkJJu3A8tE7jzvMged52FxfQ7sToC6apyTuhSlsGBkDOosXhpowt9UJmd8YUBh+T/v7VMjnUCoWUS4VcHh8gjDMVs7kQhskURxb5+uSezI9fM/Dqy/fxf7hMeqNlvF0dLNTskIIXeytJhT+4ufvo9lqgxDd/vbWBjbWKnjv3oOzpeTPAYRo3giAVIfEwvddI+RGEIRh+uJJkc3gFFLi/oNH3XRUpbJUKH+uUCjk8cKdG9jdP0S7rblH84ZUEkQAYRSB0tmEsBYJK1TmMDPNEUAohTd//m5mwUTHYXBNJlgQhCk5fBboTUSCn737AUIrNT/HUWq1axjTho+y5xxTCPIsMFP59+r2Bo5rDYRh1PfujkIhl0tTVKMoHnmd1BDc16pluK6Dh0925hKyy/keHOaAC46Ei8wbNFujqZDLIYpjwxOZ/+aOEJ3m3mi2EEYxkuR0aNZ6SCZ5z4QQ2Ds4Qr3RRLvTmShbTUs0WJkGBakUOu3AlEQAHKY9jbmcj04QGf5Mf/udIARPOJotXTIj67270AZJknCoFbOAR7n3KNVqjrbORa/Gvx1sjM0mnKtl8hPUG82Uc2B1HWzxNUkppFLpoj28v7PuAPV1pNc44ASxtXk8z8XTZ3ua/U2AfC4HZmKpYRwDk6aUKf0i9FaVnXRSu7gqKBYKQsjUizEOlHRN+rNc01Z9VBrinlQKcczBqEwzoFYNlFCUi0WsVcuIE44gDNFstdEIw8wkTD1WCygW8ngW7fe5y1PNlAkzJ+wC02i2xta9sXF4p6fg4JltD4xfSimKxXwqXkUpGeArKBBCh3pg9XtsCu0Z1WZCuhk84/gBhCA15iilSJIEQowOtzqOViCWRo9oVrIvIQTFQh6FfA5HJ3UQ0l9v66zGNCHYRaGQgxCnCfnzgjQVrS0x9izvh9UnkkoOr81jr4AQSBPmjuN4ovFJCEGpVESlXAQlBGEYozNgeBbyOXieh5zvIYqSNLuqF5xzKClBEgI+QfmWC22QRHF8qtrvojEtJ4MxPTFopVSB2EwsccLx8MmOLs9uZJdnSa/lQoAH+uXRZCkgCEOc1DT5VSktXkQZNWmKNraX4ZwZ3mXGWFrlV9dYGHiRjbPj+pVtXL+6jd29Q0jJQUCwUa2AEIIojtHqBJBk8iJlQsyaUXCxEYYRHj/d6ZfwHnELdcpit1LvyEnXeLUcpmtlJCa9PJgwdn6uINrYun51C5999WUc1+p4urOP45Ma4oRn4p3Z9+fK1gZuXtvG3sFhKipITTXrfC6HdhCYQmXZjBypFKQQmXatWnDNQblUQLPVmczjRQDKKG5euwIhJI6O62ndHaWQVvD1PE/PG7x7XyjVaabWeKKUQgipFWo518aGqQIserRxekNcto1iPo9SsagNsCGGoJYu6HoK9GYq+2UOHd/m+V+7sonN9TUc1xr9Rs7IfawOSRTyPor5PCrl0oA3aFiIeXrESZK5ongu54NSqo85I5Xbks5H4SxPC6N6vNy5dR1BEGJn71CH/nsM5ytbG/B8DwBQa7SGjntb5M+ez25Sx+FCGyTzhN5RL455zyhDIefDc12tTtrgqackCMI0PaSrcAoA0xsnui09MIqFPK5sb3QLTymFF+/eQicM8eTZnmGHz3iB0JMRAfDinVsgAB48foooUn2TkFWdvf/gER492UkXQaUUnu0eaFKeqWq86oTcVQMhBAq6WjEsOfSMW6jJdDl85sW7OK7V8dEnj4e3C4JSsYCc54GAoB0EiOeQ5rlQKCCMYtz7+BGe7uwj4Vq8LY6zjyulgDhO8ODREzzb3Te1OvSxjutgo5TDS9dKcBMJojggJYRSiLjCs4aewBMB7LZG72TH9cV3XeTzOWxvbSBOOMIo6jE0z/bnCcHRanfw4ccPQQA4LkO1okMiLRPSZZTi5RfvYP/wCHsHxxBKGx+u6+DWjatIEo7jWh2dIACPtLH/yot34TCG+5880sJYI+wqIRRqtSaarTbY8cnIcIlSCkIKtNpBuvu394cgG2fidKM6TPTw8Q6e7R6crvxuoKfZwawrhWarjXYn0ET6lGi6RG4YIdhcr4I5DIfHNQhjAM9z3bJeqiiOcVxr4JNHT9Bqd9DphH3tcymgohhhFCNOxtevcRwG6mSrv/WpNEgGSaVWdMZa92EUnS0iM+U5R6XvDupq6KJ2emfEhQBP+JShBNItD690tVXeU5qaEn0O7eLTRsBsMH1UCoqMFrUSUqLZbp/6PIhWeMdtsTI20kBHjFvfGiU8Ecii6qqU6tno9bdJQEAZRc734bsumMPMWBpy/hWElAKtdhutIWMtexsKnU6ATidAyQMcSuAwipsbLq6tuXjpqou89EDBQJRWzgwThWsNvbDGQmGnqRAmEjHXb7FQFAIU7UiAC6nDKXx41MuG0gTXbndd+dtLiYr8DNK2UlpJMwgjnWHkOCZUa0Syeh6lPTdj+nueMT6tSzMtU282UcoIJg6eevCTmCegksJhEsVCHpwLtIN+fSPLG2OMQnF9PlsbiFI6UoPpLNg53YqSnQpJGW7mWrViBNlCozCrf80TAUAgxhneC3K+pFsrC6+kSgs7uo6jN7gTyAKMDPVA35ZOEILW6jipNxHHSZ/yNyEEURSDmHCOnPPGhKgLuA1tNBqoVqt4+Zd+c6qQzaBBwhjFjavbcF0XlFJ88vjpHBbn07AxZ4WzlRw914Xve9jeXEez1cFJrT51GIIQgkq5hHKxAM4FOp0AzXYnFc3RSqAO4kTrnswDLK1Gq0bG6i8sV2Nluj0Y7yeoViq6ngh0jYtxBGbrSiWEDBVvYoyhkM/h1o2rKWn66c7eWN7D8wiHKHzlusR60cVmycf/85eq2Cy5yHsOKIVZUIkhUxMoog1vqRQ4l3hwmGCnkSDmEk3ho5Z4+MmDOpqdCK1OiIc17U0ZhH0+hGi+AWMMt65fQycI0O4EaLXHZy+sV6uaoAiFThAgTpK08CMMJ8TWkSqXisjncsjlfOwdHGneR8/z7uW6pUbKGOR8D6ViAZ958S7qzRbe/fCjvt/7ngvf97G1voaTegNBGMJxHJSLRfi+p8ecmGzMuY6D61e3kct5AAg+efT0FEeDUorf+NVvotlq450P7qPV6kwmujgX+mK2RvR9ZyDQ46paKaFYyGNjrYrd/UOc1Bqji9tNAGr4dwCG3vNero8O542/X5QQKCnwwQ//E+r1OiqVysjvXmgPyTzqhiilIIVEo9nWD8KkSc0fWi3V7lrP6reQwhTniiAEN6TBbGfRRDI3JSEGYaQtWmjSKIybmAsBxHqAVStejxExqvfZ73Na32CMS3muWOiJsvANCDzXxdXtLeTzPj786JN+wxeaFLi+vgYohThJ0Gp3hk7olFDjmfCQGNdssZBPSW1W+K63fSmVlpR2XOPtOw2HMWxurKFYKODR02cQZnc+KnSglEIcJ1ol1mQZZDVG7ATqGaZ+FCcrq6kyDreqFHfXKP6nLxawXnRRzru4tubD9xw4LgMoBaEEhBFtjACAUqBmkXeVwl3HwdVNH4pLJJIiEhS/eK2EhOeRCIFmKFELBHbqHFwotGOJp/UEB02JINGZDrVQIVEAiOZ16AVo/LOgjABEITRVZrmwXBH9uZJa2psASLiAwzkc7nTVR3uet64dM34OA5CutXpsJvj40RNEQ7KbCNEGTicMEScJuBAghEKa80gl05+zgktdIdvpOCDQootS9UuYKyi8d+9jJInW/+g1VnzPA6U0JZ0OHbtzcZBk92pYQrBSWkDQerVb7c7casroMBCD67i4fX0T9VarTyenP/szW9KABCAzZvlcaINkngijOHVnTlfAbDZ3We/h1hWrCbCTcim6QjuMUZ1WaNpyHbdvYAnL1ejJVZqPuNUMbcx4eh1fH/WiLNY8sh6FUjF/epE3aow530td3aMlqXVsv5DPITQkaM91dSyW0HSiHIT26hnXN7o7WigFGG9IzvdRKhbgOAxKna2wag3XdruTkjbHPVt73TbkmM/lIKREnPALlYJNoOBQYKvI8PImw+tXXHzhZgHVgouC78D3tMucuA7AKECp/htmjZFS/1ESDAprrikqKYwBoIAXN3xTJRXgUuKkw/HwKEHCJZqBwEdHFE9qHO1IQkjgsK0QCIq1nIInFDwFtAgBFwA3YVghgcFEFilFagQLIXoIvTZsYxY6EF0sMeFgLNEZVUPmQj0GumO3V/22+3vdvN5LGYOq3hyqC2Q3hWEYm3Gm0syWJEmmCp8rc70J55pPok6nViultDieUuCp4aWvzfP0pk4KASEFFmZLn3VpA9ND77un74s2luJklLE/nQvHhvJLxQLCOB6qlTUJbOpwFnzqDRLXceA4DFIqU/Nh+RrLSipwyXE4ZQhFSontzXVUy2XUG21wrktED+oG6IEiu4Svi7RiDICaBdf3de2GJOFz5wGNh8LO/n7qher/lfbmtdsdSKXSCWV4K3pXu7FeRScIEYYRmq0WXEdrAwDDCZGWsd/udNL6F57r9YUHa40mOkEIz/XgMJuCrsw969+9dhUix78T2pXrwGEMCefwXAeFfB5bG2sIoxjNVhtdgZjVR45yXC0C/6//oYytio9K3sNa0YPvMvgeA1z7xwFcF3DMz1JpQyRJeowSZckgsOxxAgWmAGY+8xRQKAI3trRFoRdplWo/SKXAhUInlnjraYiEOwiTAt56RrFTF9htCAipUA8V9tv99/ik1sh41QpxHCGOIzSazUxHMMZS3olFZLVVzLN2rRLpCKJ6FMX9GikEiKXE0UktY79Pw+qaxHGCRAw/r9ZB6uetEejwZ7GQh+976eZw1So384xZWtMgn8+hVMij1mig0wnO1bP5qTFIRtWwYIa0d2VrA7VGE3sHw9Qbp5xElzD3apcax97+EU5qDXCudxjDPB96Edd1cKSUaHX0Tnju/IBhzZHu7n1yjuSQL5vY9vbmBuI4RsOw5LPn35tOYToPj92RaQLYaWNBQS8q7SAwGQCjvQ1KSSQxx+7+USo6FCdce80SagpljZskNMl1rVqGlDItRRAYt30+56NUKaNcKsJ1XRyf1PD42e7Uz54SPY4qpSI6YZi6krngKQFz2rbtDu28eCuEEHzllocvXmOoFhwUPIacS+E4WtuFMAo4FGAMcBxtjDgOkPO7BgkBwDkge4wwY5SQnp/7jBUFEGOgKKVAlQIzHhQoCSkBL6fweUq1sSIk7m7l0IoUWpG+vyFXxqOiP9trcCRCoBFKvLenF+ZEKBzPXDdTX5M2PHO4e/sGOBeI4hifPHqqPRJKk1N9wyEJglBzlYQ0L9wIT+ZkDuGhoIyiWimh1Q6ggtBU2812VVIp1JtNsA4z4cbRgm7dboz2Rkw9fjN8PfVekGHtZznf6X67jn5mnU4wdXXiafGpMUgo0XFeSmiPwJBKSVrr1fLoOinLMCxmOCkXAieNbLsiS1IS0hIcezKB5nLdwxtxHR2CSOIEQioozGaFE1ghpBwoJQjCaCJNF7vDZ5QhDMOpLn3cLspyMuzPo78HSMlxUqtP0QsNTYSk8D0XCgBPuC4AZjQl8jkfvu+hWimjkM/1aSFMOgHZTDXXYcjnc5BKa5oEYXhqBzoJKNEVoF3H0W0mPM06WQQ06Zwg7wKvX3Xwi7cd5F0Gz2FwHQrH8kQo6YZoGO16RzxPGyRCGFE/BYgBr5A1QADjLek3SKyRQnScobtcCAkGwFXALV+Hf5RUeGFLQRiXuB43yrjyJU46Avf3I0SJwH5LIOIRpJKIOcDq0pxSGyi2a0Fiwzc6/DP+nunwxtb6GqIkQbsTaAE183tLnLbZfDabxnrLZiZIK2DYomo5XY4TdzUwMoZHlJq8Ps2w+ZrAvBeMQRmD4Szi6VlGzSgwqvlmBEA0TfmGIRwW+z4nnBuSb+93FitEeqGzbF76xf8hc5ZNMZ/XFRPXq9g/Oka90YRNo9MFjhxTl2PIgLlgBskksCqQgMkK6N15L9AgefWlu7h98xreeudDtDqdTDLU42CNK8uNyOpqJGZ3/8Ltm9jcWMOP3vw54jieTv8gI87jtbPPVhkyXy9Z26pnMqIzQqSQEyuODp7LpqtrFUk5c8jM9zwUC3ncvnkN7U6AR092Flr1uFjIY7PI8H+5E+Fz1zzcWnOwWcmjmHOQ9xzkfZ36TD0G5DxjhDhAsQj4HlAsAFGsPSOdjvGQmLAN0G+MWO+I/dn+Iv1RDfw8aLiYOUKqge+oNDSkpA77KKkgpELMjcquVIi5NgaCWOKtZwFiLhHGEv/b2x2EiTZyHp5I8DGvEDWqrTa7SynVF5qxRqUWVhPwXReVclmHZeIEtUZjDs9zmEGi1VaVVNnq+SxgnbWcrStb60bQjOPJs90zujBZJxij2FirYr1ages6eO/ex5O/c0NOaecGaYnAfc9nuhsleIKPf/z/e76zbHre2LHggiNOKKI4ghQCxLjVFRSkAKRM4JhYZ7lYRBRrCfbZerdEW29gDDHKcOPaNoIwRK3eTPULlFLg6IqTTRE/mQq1ehOEEMQDXA/f81AuFREaRdCsrlbAhqu0B0ATQF1D3B2d/qqNUn3FQRjq2Ll2t0ANmcSY68HNV+CX1uH4BfiljcEGIUSMxs59JEELPMpWVGocbFw7n8uj2Wplqq1hSam2bIDruuAm9GMNti5ffjYjyXJR7LOch9EgpDAiTXWTBSFn4qAwpuvSaKKiOiXU5YCjwCSulwlKHoFjipPpne4QuRbLCZES4EIbI2GkDZGEd/kj6LrVu+xxQ9jqbavPKBn2c//3yVCjRdm4A4hSJgQEOEpn+1hDRgr9rBIh8YZRYU240pldhnR71Jbg5pnuNTgiro3M+4cJmpH2sLRihViINIticBxJpUBkN2QnoY3VhAskXL+Xvqcrw+ZyPpqt9kTvfP8D6flEId1cqixzWvrrGSyTIYdKKREYjl4y7n2dYN61xgvnHPVmS6fWTvNqDDlG2mJ86oww0IIcJRfcIBmBITeZmxS5dsfpn8jtTkMB1CHI+T62NtbRbLczGyTnangMO9WYwUGgtQZuXL2Ck3oD7Xag0/lMmCSLjPa8cVyro95sgRDSl/vv+x421quoN5oIgghxMloieRA2DdxhTJe+dt20RsRZKeLKvHhtEzMFUvHGLkwIxPGLKGzcQPnKXeQqWyhdebHv9islwaM2RByic7ILJSWk1HUdMFX2loauSVLExnoVnCdQwfgQke6PSkmHrusgUKrPEzLPJ59p4p8AQkiEUYSj41pqQM3Suus4KBZ0+YZkSFkDjyQoUIKtgouCS8AogVECwJCUB22McKH/APrSo7BrkHTjFqYRYlzkpEsgHzRQbDu9BgkGfh78rM9g6fGkQJmMH/1r1uuVkfrnHBTKeTcV3Hr9egF2ZCRcc1G4kHjnWYhWJJBwif9yDymJdrcp0YxUb5NQZrMnleXwdmdI7a2RusaKuW++7yGf87FWKSOO4ykMkuGYziged8wZk+2QQ4UQaHcCrfY6T3Ko2UTFSYJOEKWhr8G1KIvXZTC03d2YnoFRvx95umzP4vk0SIZAay5IJHEdwxQGAe3KTBKOvYOjzPUFVgGUEPi+B891ARC02u0064RSprNsOMe9Bw9TueHz8IKchVEs8U4Q4NnOHlzXhZ7auj3VWSOuVgmMImNknG7bcR2US0UwRhGEETpjyK3azZzA81xUyiXsHhz1fd/NleBXNlHevovy1Rew/eo3wDwflDlgzIQMFaAgTahCoHT1BUgeg0cBdt7+Lho7H6Gxcx9AV1zKc3WtkCgaHx5SSqHV1hlTQRhNJJRXLhV1CnEYIaL0wiRTWe2FIJiO0zOI9bUKXn35Bbz93odD3+87pQSvVAlc5oFQAlCYMIS2JVNJAEmAmAOOBBQD2m3NKaG0J6umx+ORGiS9MFyUgY9SY2Xw+33hnZ7Pej0wQ42Ygd8PcFXSz6U2Xpweo8dJOS4KXyv6euMiFX7lNe05UQpIEgkhtKfl0UmM/ZaAEMBOPcGTWoz7hxyJ0IbNs4ZVjg0110gY76XS3KqnO3u67MFzAik0gfdUosAcvAs2A64dBFM7DR3jMSwWCmh3OvM3mqbp01LPPit63vmsOGvil8a9L4RMhWbOk8tBevs3wWntDt91XTBKEQSBdoO6DhzHQTsIIAKBjs3wUKurtCmELs0uDA9B2YnTEK1KpSJcx8FJrW6yWk4bNYJ35bKzGpZCSK3UKISpE6En8lxlC4WN66hcexmF9WvIr12BWyiDMgeE0JRMq9cfAShN3HO8PKTjgTIP5asvgVAGyhztNeERiOLY3FiD4AL7h8dQQpz5yC0h1rp+J0nF02nd2ujqcqQW9/y7ugUE02n69ENBi2f1VnCevF2CThBid/8g1ebpXbSp4ljzgY18d0+ZRmSU5SEoEBuikVQLfhDTD6oApnoW/d4FSKV96P6lRdT6FqdeT8xQjRrV/52+7ynjZUHXCDHvDXpPn4aK7Oe6r8TWPuvhqBBrVCkFn1H9o1Rwc3Yj0MtRkfB9hquhgBTA7Q0PL7d9vHZdy+NLqXDUkegkBG2uCdDNQOG9hMBhHFIJtGK+9AWxF12F3N53Jct7M0a346wmJjRWxk3jZ61fjqu9yI7TLTkxM2Zs4mIbJBNi3A3nUoDHc8ztzjh2CZCW9OZGuGiyrBNdi8Z1tDKm4zDk8z4K+byOmSuJMNR6FovEPIwcpRRiKU8ZEtrhTVAtl1DI5xCEoRZPGlLZK4pjJJx3CZ0Z+iWlxHGtDtR6zkkpylfuYu3WZ7H9mV+EmyuCMKdHznswnW9gQZISAEH1xivwS2vIV69g/4MfImkfQwZ1XLuyjSiOdbGsMSEdq8Sa2Zvdc8mtVhvA9PVcJoJJ56YpUz976fFR7QEAM9kcUkjDC5p04VKo1xuo109nnxFIMBVjzXewkWfpGq+MMSLMgiskAZGAkgSQ0iaJo/evdAzYRWzYApOGbwZ+T4YYGn2fjfhO7+97+9JnoJgvpB4Ta5gMLpZdg6Q7npHGYwi03dUX+jEelULeNd/V75Mwnmid6quQCIHjtsTHRxwJl3hyIlBvEiQiQZgoHPcu/CO82FlxVkXbLLDvuPYmC0xGFp2h52rKfk9xmA3jWmOkG8Yd3/+JM4Iy3pJPlUGykjDzg3WrOw7DSa2BRrOVvQmlJ+jDoxMQQsCFQJwkOKk3QSkxuhWr6RHJChtWefhkB5QSI3w2fFFiTBM4X7h9E3ESY+/gONVAyApCHTAvjyuvfxOF9WugjgdQpv8QeuqFtN4cG7Kxf5TkkEKAeXkUNq7j2uf/Klr7D3D04E28++HHEDxBkiTny0NaJJTOVimXithcq+Leg0ezGcJKP89qpYy7t27A9z00mi288/79uXWZAPAcU9NH6fCDDilScKHAqURCCRyhQy8EEg6IWZlNqAYKoOgu0BJdnsjgyaznoZc/0utFsT+THotl0HtCetrr/6GfuzLwq1NeFDJAZukzrge9L73hHvT8237W/ZwoBceSaI1B4yuFfFHhyrqEkkDCJX7j81VIpTVTfvaogx88CHDvIMaDo/nXEpsEmkCew/paBc9297Ww33OGVqcDGugxcN56I6NwoQ0S13VQKBS0voJRI13IxD51k/pAQmhKLLR1EfoXR2KkkjX5cmh9E1OYz3GYyUwZqDEBIOE8JSjpJkbXKTnV03MYjDbbQ8vWT24kKQCxkTIer+OhiXMxN4TSCeN7br6M/NpVk01TBKVMh2h6PCPd6bq7S05DTOaPUtIQWgEQBsfPwy2uIbd2Hc2dexBRvJSJIJ/zUSoWUSzm8fjp7sjS8NPAqh5HcTJnwrTKlF00DrYqMggB5xwMBHlHt689IQrcekWEhKBE/5EUREhtD0hiqtSqlDSapuD2LtJ9IRbze9KzuPd5KszPqQOjx8tiDYC0FAC6v+u1fNKwDDBgM/ejN9TT66rpNaLSn0n3PIOEx/RaCXqNGdJjuJAe3gpTgOdqD5ICUClponIQ66wdQimuV12s5UM8Og6xV09AHXdij8es75SSuvZYfO41mKbs9xSeFSnl1OpPi9pAXWiDpFQo4MqVLURRhFYnwEm9MZt7eOJjsx3gOAw530OlXEK90dQS33F3KCilS5zbneSwxcF1HOR8H8ViHrV6s0cVdKBHAy9i6oZbAes3l/Phey6EEJpgOaTQVhaM4w9oPRmFp7v7AHSG1ZmTypBdbGHjGjZf+jK8QlkTWB0PhFmjhJp+6IPtf/rkOqYOpUyGjQSk0D8LASkTeIUK1u68gfbBI/BwPmnBk4BSio31Kl558S5eunsL//5//WO0O8OlOyedeAhIWoOp3e4g4bN5f2x6fpIkqDfb6ARabG3aNgkIcjnPaC0wNFttMCVQ9gCiBBIOcCHBhUQstMCYDT8xJlKOFwEBUyY0ILQ7hHAbvlC9J+x6PNKFfnBF7/m5z6tCuhwV21b68wD5pDf8cyqUM+g9GRH2sb8bZpSkfw8aUBg+DZ4izfZ+rg8iSoEprYFU9hW+mHfwxs08OiHHdz9s4D/8eYgn+234TnXg4hcPG/ZttjojtW9mDQvNF8NccRkOIQP/nuDwyZBxrZz3ac8TrU4Hcv8Qvq/rdTBGF1pzwHUZGGVwGEMYx8NF1IZAcA6a81EuFXS58CFESy4ESE/hu9O/5xDSAZSC5zoAVObzLxNWnKtSLhmSLUPO93F0XJvaIBkPlXIugMmNMermkV+7iur1l8G8HCh1YNN+iVV97DmXMlLfSgpNGJZal0FJrkM2kkPKBEomkJxD8AQySeCXtwAQxK3j+Vx2RhAC5HI57B0cYu/gcG5ploA2YDjn4AKICZl5d2mzXBijKBbyOKnXEc6g/qqMF6RQyOPG1Ss4rtUhojZIuAcugVhIhImAGwtQQhAzmS48tqihJrnqLBQhFRxJQKgEIwMruTUS+kIspGsE9BoA/Z3s/jBgd3R/7j2P6jcger0lg3Gj3hBP2l/VY5j0ho8GTtprlKR1iUj3nNaLYy+cWAON6HBWn+2lTv9N9fuVZxTffKWCOxse/tZXN/FH/62G/ZZEfUjkL+f72NyootFqI46T/po4M6BXUXUVNnOTwvc9I3/AUCzkEcaxKW6oPXyUMuRzHgjRqtZaBiLbdfqeTtMul4s6I3WO8/iFNkg45wiiCCAYHwObaUzpgymlJk0qD9mUmeNuVqDKsvutG9uyuG2WzFltaTc4TwtX9YY7Vv2F0aqJXTXYJBlk08/W/3Sn0kuEU9PdF0Ip8tVt+OVNuPkKKHO1p1pySEFApA3ZdBcVlWYEaWKq5ZLoFFGjnyGFNlSkgBLaUGF+ASzuABnpQvNwk9qQUxwn6HQCRNFkk1EWWF2feY1LLbmts8Ris3OdBTblnJtNDCg1svoKCddE3IRLcCaRCAnKjQS48YQoEFAiu04Aoo0X1WOQ2JBQujbbMWpl1dPfW3n4AS+H/aw37NO7o01/ViM+B/qNlGG/t4aI6vkZ/ec8tY0eBWuADLGghjWTRnf6XTAEOht6reQi5xBsFhh+4VaIn+/EqO+ffu6E6FCwwxg4nd9mdJYwt32+1HCLzpu/RwnB5loVCnpddBwHrG+jrmUHyqUSKCEIwyFG3KguE1uQ1pD759z3C22Q2EJyzdb5eAocxlDI5XDj2hW9sBreyjgoAO1OgPajp32fe66TZtaMK2qnlEIYxRcuT1+ZlElhFwHO0WrPXNkrBQFSPQ9bmXMWUOZi+9WvoXL1JTheHtTxIAUHj9qA5ZCkJ6egrtfd5Vl1V2XCNMISW7XHRHAOyRNIkUDwGE6uBBFPv9ufBjaba2d/Py16t+pQAJqt9tyIhXGc4KTWQKcToljIg6kYCGN0QiDwKMKYw2UUlACey9JMG0IUHEbhMqo9JFQX3BNKpWEdC+0YIel4obRrlFCThZQaKqmnhOjVOPWqdMdVv9cDQ34eDL303r2ezwi6RgBBz9jt+bnX6zHMA6N6GhxSC6Xf69NzrrQ7xvhJjZR+C8repxyALUrwO391Hf/vP2/i/f3TGVJcCLTaHUipn8GqgFEKz/MA6OJ852mUMIfhi59/FfV6E4+f7SIII4RRlFIBKCXwXAe3b1wFpRS7B4fIuikkIPA9PeednNTnHpG40AYJgAk316O/bNUYzzIKwjBCkmivTBhGZz6M1KN5BnzfN3ohDCf1Jjoj4viriew3XgiBerPV4wUacuyU76vjOHj15btoNNo4qTfQbLWn25kTwPGL8IvrqFx9EV6xCsFjJPU2lDTE1L7J0/xEaerGpswBZQwAMWEaa4xwSMGhhDZIhDVKkghSJFBWUGtBRLFe+L6HQj6HYiGPeqOleVfnjIEgwlIgpUQUx+CCg8kETpgg5gQxZwhjAZdxEGOQCCOfrj19EpxRCKkVcB1O4Tqyz/hI7QnzGTWeUG1vkO53iZ7gCQEItT+T1EhJ28Cg8WJPgK4h0uudGFyXycDffSGaYd/vI430j/ve3w01iHpCNun3e48f/BldI4USWHKsfrcIGCMoeA5e3nLxKy95+PGjGCHvjh69IW2lXubekaXn4PM3UpijS5Bsb22Ac4Enz/YmnpMG+SmTFArlXODHP30HnHOEUZQWXLQQQiIIQ3zw0ScgGM5ZHAWlFBot7dK1+jPzfJkvvkEyp7vBjNy44zhotTtDH75m4J/WyOgFIVqmnTHjBh7j+dDxvPm7vrJjxvuX4XClFJKF8UUAhzm6LLx5iachYjqOA79QRr66DSenhc8kT8D//+z9aaxsW3YWCn6zWU20uzn9uV3eTN9Mp53GBhv8KKAejQsyraLA5pVkySqBjbCEZJ4QP5BAIGTLkiXwD7ClAomSaKpwqVQ/cAmpyq9cprEeJEk6jbvsbmbe7tzT7D761c2mfow511oROyL2itixz73n2uPq3BMnYjVzrTXXnN8c4xvfyFM0u0cMVkhYGYBxTkJnjszqwzVzf7SG0QWM0ShH5uc0S1MfFaRGesU5GWcIpKw8XddYEXFBRdjarRjTWUKhlw8QmZRKmlbBWo5CW0rzVVSITgiDrNDl9Mo5g7G8XGgIY2E43ZcSXKACEpwzB0L4WkDCS/BS+x0AuAMzoOdQzuXuYGwOkJAng/5VBy6oR0Tmv1v2GUCVhuz5HfXfFr0dC/suApX6yUvvDLB2wHPXxRgD4wxSMNzvS3zmfohvnigMEo208M2xKHJ1aX+q9itLQbvrZZFtPjoTEOUutLd5J/f7CMEhpUQrjjCdJlcWwPTA5fT8Yu3xtTZb12pbVxtsRasab/kRACTXN8aAXqeDu3du4eG9O/ivX/rtrcumh2FAhJ9uB7MkxWAwWhlGGE+mmExnYIztNO3y95IVSuF3vvImAAIiZgtlUM4ZDvZ66Lz8SbTvfxLWaAdENjFLAEPTy8oYLwEJeUgKaBeq0UUGVWTQeQZd5HNe85u2JEmRZTnOzoeNwjWBlLh7+9BlhhUYDLcvOBmHIQ72+/iDf+A78Ru/9WU8PTrZKXdlW7OQyOQhMjNEVuTIlIIoaFKXrnoxVcvVCAOBOJBQkgCHdIuP0pMBv8hgZZjGAxK+BJDwGmDhHsQA86CF1YAJq8BJPezjf3fopXJSzAEW1D4v81z4r+z8Z4Z5Amsp+lZDM3M1ehyY8WGZpaRarO/wggGGAIngHN9+L8KDLsPRMMPXjiy+erK673LGEYYB7t4+RJJmyPJ8I12n65rWBrNZincePb6SG3iVteIYtw738alvex1f+s3fxcVg9CF4Y27Ofh+QgN6fNMsp8yPLLwGITTqUKhRSAGEYXgkyjKkY/NcjAF5j33JsYZCBxL3bh2Cc4/HTo7Li403ZriYjZa4H5izjMEEXon2AoHM4787e9pgeGLmJwloHTFSBh/EU33FwgkFngCdnE3zxdApwiUq/++bMmJoiY63PCSEQhgHu3b6NLM/x9Oi43KYoCuRZ4TyD2z8zcq9P8dWvf9NNECvCd8640++JwhDahVi25bxwTjpAYRg6Yriu3k/3uEeZRZsD/bZGIDkkZ8iVKUFCIKn6b8E0tKHie4Ibp+qJksMw7wkBBOOEERbARwlC6gCF10M8vCzuV/eyzIWBwOaOR/3NlJgErAI1DAyof++vnTn0UkZaFjws3i6BmIVnx+rIuuYVqTaY38bWvwfmxNXKmkD++gEhGFqBQCsC4pjh4f27yLMc7z89mmuGcM+6FcfIclcm4DpDzVKezGqzjnO0C9NaYzSe4M1vvoPpLG1U86qpxXHkdKGAvMih9U3xyZq36fcBibOiKDCemFKSHNgOJGhjgEIhzwsUan19ks3PsWUnb7CbDzV1ux0IzvGUUTZBU9AgBWXRmAVht+exAm58D1dsxjiH6NyCiPcgos7uGuYnKMczIZKrwp7M8Zn9KUYiRd/keNSxGBRAbqxbfG4HiJqC22W/c07F/nq9DkTCa9tSVpRSl6vjbmrGGGRZjmfHJ2Wqcd0TsDggMk6htDiOoJS+VsFLzhiCQKLbbkFpDVPMZ3kxALm2SAoK1yhNBeSUNigUK70bijmA4gCJFAzM2Lmwiv/MS7BgS4DAma0ABHd/ox7eYQ68MAi3rT+GByd1af7yd5A3oQoDee8JYBiBXdoGYLAImKHoidu+QjuY83aU2LwOIOohm2WfV3lBWG27Zcfy2T7WViJzqDWNMfRbHN2YwOFer4uZvOzJ5M5r5Wu00Hdse2Lput1WvKpXj0nN3nGtDZIkRZKkO02vBeDKjMgyg1NZX+n8efhql9vvAxJnPg0wy6/nrfApvheD4Q5bd/NG1SMNjo/PaDB1mgtNb8XDB3fBwDCZzTAcjW9UD2bXJsMuXvq+/wMYFzdz/LgLladEYi0KcKvRChlefynCH3olwP/+u/v4P/+nC3zlaY6TLXTSuJu4/eCylU6HA5LvPXqMovbsjCGQXtX12N4q8EEzIWPE2G+3WwikwNFClWUpOOI4RKfTRpZmGE+vl2XTimPcuXOI8WyGoqh5h2DR5gV6okDMcyQZAQ0AkK4ytkUNcFuqrSMEg7UevLkQDV1oyQMhB4Rx14/qe+cN8fdF8HoYh4GDgGyZdMPnvSWed8J5BUBYDdRUXhaGZ+wOMtZy4MciRI6XxVMHmFgtsYeVTjpee07UGLrGMkzDUEnm+4u7pCyLat6dC+/UHgpjqFTTmAMihr4ylDavtMtygsWfeD0E4xr//UjjW++8t1SLyRcVTdIUnDHEUQzOOLIsf6GquAO4sfZyzhCGVCG+KNQHCkLq9pEAJELQW1R3R6/7/sOp27F9m7x3w4s2bXOoejlrBmJqr1pRLHo9vJrmXr+Hj7/+Cr70m1/GcLw916B5o69/CBl3EHb2dhKmWWblCk0GkFEL2fgcs1zjeMrwclegJRmkNvjjr8d40OP4b+9mOJoA0w3GIcaILPrayw9RKIW33n6vdMnXvSbrKqlqo5FmGRjYAg+HQQiBlx7cgxACX/n69jVkup02wjB09ZWosnYQSDBc9o4AtEiYJSm0K+F+nRRlbQwmsxmeHp2U2iveJDM4CFLc7gnsRzE4GLS2SHONUOpyYheMlREFKTiMpX5fpvYa5u67LfcBvOOh8mY4n0QtswbQpUfDgRHGwJipwEst7CPK8A2DqGXn8JqH5DF/BQPs45m9ixnvQ0O69liEKPAyv4MH/ASHbIRbclI5RzyowTyHxQMS/x21tWrf3PvDa66QEpAshndqrpHyowcjFtBUkE9r67JEHJ+WWagix2Q0gQhC9zzmj53luStNYRAEEkEgkGb20naAB4XUgK36V9Mx6NLwcvWODAx81dxGBKVLJUSamrUW02mCVGROg6eZENxNA5cXHpAwRlkAAKBdiXVvUtJLqJR2Beael+bCzYVWFs2T5sIwgCq0q7+x3juxKoyijYbONvdskDqnRhgGePWl+/jdr74JrMIjO8WC1z9Y0Ooh7B64iWUHTVphXAQI4jasNUgLg7OEeBtRQKvC73k5wt0uw8U0R6YtMg2oht2VFqsctw/3kRcF3nqbwDjnHIGQRPY1FmmWrRxstDZLQYGfkG4d7CMMA3zl69sD+jiOEMcRrKWU2aJAzRNnLxEAlSJ9nl1UqfblGZal1kthcRDmuNUJ0Y85slyX2iPKGBSagTFNgMT/ZwHDGaytc0U8IKkmaf+57hkpAYmptuHlhF/bxgMZAJyb0kEhy2rTmCPBkjibgILEN9l9vI+H+Ip5A4wLdxxqf8AKPGY9fLsQeJVbhGaGgGtIZuYIs5WGCitDOxV3BWVYqnQF+QaWBFhbAQ8PYoD58E49BdmFauwCINGOVOyBiSpypLMJglZ3qVczL6hgpVIavV4HURi6YpfzoMRn17Fyv6tJ8axq+Ga24StDAJOXGkuFUtCaDsI5K6v0VnXNal6mJs2x2CpxYyuxyQ0G1hcekMBa9Hs9xHGIKArx7nuPS0nyB/fuIAoDDIYjXAzHO5MV/jAZub0D3L97B0VRIM1ynJw+XylyAHh2fILj0zP8zlfffKHcov37n8DeS5+8eeQftSGCCOOTRxBiAliNKJBoRwKSMwjJ0Yok/k9tif/f16f48rMcv/64GQPHi0N9/td/E7AUVui1YvS7Xbzy8gMYY5BmOb769W+i2NDToJTGeDLBF37jt0pP2Lb27OiknHysoaJqg5oOygfluYwl8Km7AbqxQCuUuL/fRhRKSKc3MpplmCQ5tLEIFEcgOUJpXMFLF25BBQpKAOIncV6bxJknkzL4CFjpdfDHwPLv/WfOTG2er47NOce7eIDfsN+NZ/wVpDaEMuNLc1QG4JuI8Q7/DNr8DXyv/SI+FT/Dx6NzAhkeCNW8JYvAx2MPz4HxQGp+P/LelZiluuAFEOM+WwIi0MZVXKY/WaGRFQppoaC0RiA47vRjjDVbWRzOgoDJ+cUQDFhKBmWc4fatA0ghYC2NYXnxvBat680rgt+9fYisKPDk2TGMIf5Su93Cvdu3IKXEu48eIy8MPipJmi80ILFOKpyIqAp5TrLqQnDEUQSjiUSXZtuz8xfOuPXmkSuul2YZAYdlcr1bmLEGhVYYTyfQitRjb5xIuuTwRGbVl7gjXBDKv3Wwh+F4gsS54G80faeBSUE1Htr9A4TdAzRdWWxr5PbmkEEEziSYNRCcOApWkvInYwzoAN/xUKMTCViW4d2zHCcTDcuDK89RVw3Oc4XpLMGx42UUhSKJ+C1cvNZiJ5wgU2qt14/9QfYDCwmDWFjsd0IIzsAFg5SkxuqzagLB0GsFABjCQCAKBOmTMOKRZLmCtZ67UfeIzGfALPveex7mf6+Bl6WAhLnv3IqdAQDH2/lDPOEPcCJvITES2pM57OJVAxoM2jAYG+ItvIpDNcNDflxlAQFgvJ6OXAsN1cI43pPiSb+A95z4NtvKS8RZ2d5S/A3VZ2t8QUpL0v3GOFKxQaEt/VGmVGUtvS3rnrBdGA0XXnPimZCXbl1Is7p32/XXTT0rxuldjcYTFErTu2strKFMzvFkSirfl0Lrq9pHoPLu7UNYa3E+GF2pkbUr2yT1+YUGJICLhc1mmLkXQ2uNMAjR7bRdkS+N6SyB1rpcmaxUC73yZNu3MwpD3L97G+eDEWaz2VJAslVnt5QhdDEYgd7qDY6x9fVskMYlSLXw1Zce4t3HT5DnClo/f0/VnKw3A2QgcbC/h07/AFFn/7m1Q4QxhA3AQcXYpGBgTACOKMkZw3c+BF7eDxAJjf9YZBhOC+SQ7q43G9jSLENeFBUR1FIK4VVpg7/XLGAKLWnRbwdQxpZhCc6IMxJHAv1OCMkZkkIjlAJxKHE+TmFAsfwkI7AnGIdhlVu9DM3UAYn/t9+mFrKpk1opZFMTXCtFz5YBFQYF4Dezj+FCPsRU7ldZK+vMWhSW4W32MbymnmJqDQJu5jwunuha11CZV54lUcc6KbeuWlu/rvnv570sAEpFUW0JeGif5aQNCqVRKIOsMCgaTcCrrrkKIVlrMZ7MAMefW8u/u+Z6ZdOxXWuDNM2Q5wXxv9yCwFiLPCtwXgxhQUVXG2VRcgrjvvTgLrQ2mEwTGG2gN9JtutlFG7AFIPm1X/s1/KN/9I/wpS99CU+fPsW//bf/Fn/xL/7F8ndrLf7BP/gH+Of//J9jMBjgj/2xP4Z/+k//Kd54441ym/Pzc/yNv/E38O/+3b8D5xx/6S/9JfyTf/JP0O12t7qIxdg3xXgtPv6xV6CUxtHJGTrtFqIoRCuOMRiOMJ0937Lv01mCb73zCFIIaKc/sit0yhjVTXjp/l0EUuIrX//mh0Y8pygUJtMZ3vzW28RhMBofhHfk9ddeRhhIzJIUx6fnpNK5JSFsa2MMYXsPd8MBvqsn0Im4AyREjAyMgRAUAogCgT/6bRzf9WoXp1ONX/gPFzibWUwaYjljXow6NR+0BTaHNBa5EjjsRQgDgTzX8xOoi+fvtQVpXAiOV+70IDilluLBQemIGM9S8iYxhiRTyJWGsp5aYTEYEYeFsQWehnOL1EMidWJpObHDb0MHYQwYK4nzIsRx6yFScQi++nKXmrUG76g74OrT+Az7MgJWu36Qd4TPfZ5Xnq17SRhzvJa571htuyp8w2rXaEHEY+uUVXOlSTVXG8wyhTRXmGUa47QgAFi+u1tOkhY3riB9HaMkA7uU16UbenPmD0h/3nqXxNqyLNtKRPKmbWNAMp1O8d3f/d348R//cfzwD//wpd//4T/8h/j5n/95/Kt/9a/w+uuv4+///b+PP/fn/hy+8pWvII5jAMCP/uiP4unTp/iVX/kVFEWBH/uxH8NP/MRP4Bd/8Revf0Ug119eFBhPphR3q60ornRZ39D85DUYtBTOjbic9d3UOKfsB6OduJpzyxtTjn47uJZd3Axbuh+NMRWBraEJzsE4ZTdso4Phn7Vf8cVRCMG5K/I3Q+ualWM3tSBuAwiQZjksomoC4gADh7QAJN2mfsuiFXLEAccfeTXCW2cKjwYap7NKLPP37XrGGaWTapfiLhhDK5JohRKh5HMchXpRPClI6yIQolzhWwAmDqC1BBgQSEEZQi47xFogcMU0qVgfK70C5dTKGIpCuYwStuBh8ByTeZ7KIJN4P+ug6LSABqG9ZVZYgcQGKKwFHEel7s1gNWDB5vRRPGDilwEJ6mq1y2r6VKAHALQ1sIak+POi4pDkSpc8kixXyJRFbjjsVmBkSxfIVe/bkt3L6xbcJVU0f2lXzQ1bk2rdOJwkiaPquHlw2WlWnmJx4917TDYGJJ/73Ofwuc99bulv1lr843/8j/H3/t7fw1/4C38BAPCv//W/xr179/BLv/RL+JEf+RF89atfxS//8i/ji1/8Ir7v+74PAPALv/AL+MEf/EH83M/9HB4+fLjlpVQ3SxuNJE3x6PFTGmQEh68MPPMpTs9hQK93Kmst1c3Q158Ave5EK46ROX6M1gYXg2H5EpjF2OlCy56XWccb8OmRm1Tk5JwjCAIIKdzLtL1gXZrlYJwjDKjujTEGZxcD9LMcHQ9aNgRL21jQ6qNIQxxdzKBUB4gEOLeAdaDZx/AdATDLNbgFfvi7Ovjiewm+8G6KQWqRX4nNfh+xzNvis61CK4zZcvIzxuKwF6ETB5CS42JcZfhUKaasPIS1FqX8oQXiUJaTRre1cEYL4ABIsgKzrADAkBUKSVZA1fpgmhVQ2lRAZIFjUsnI0/fP0ghfmx0A91vgcjtAQpOURWEMAFcVdkloiD4vghUGxnSpMlv35vBaKEf4Y9Q+10M22gEzYy2KwoVqtEGaa6S5RpIpTFOFpABSu911rrkDDbdbMUYsmavJgyYRRSGSNIVS6tpVf/2ovikwoQWdaRYub4zZtkBpV9hOOSRvv/02nj17hh/4gR8ov9vb28P3f//34/Of/zx+5Ed+BJ///Oexv79fghEA+IEf+AFwzvGFL3wBP/RDP3TpuFmWIcuqgWE0Wl+h1BhDdTfUuHyhi0I5Yt+LH0e3LtYdRxEO9vooCoUnz47J/ciWazp8oMZIAOtgfw9BIPH1b74Nr52itHKkp8u7BVJif6+HKIqglMLTa5CTj45PXQZBlSoHAKOjtwDGcPjad23svdnGksExYjnCG3cCRLI6H9W5Y06bgkO4gVpwhkCSl+gPvy7wsdsRpBjjnQuDdwcvdj9+nsYZAVzuvGN+caiNnZv0pOBIcgXOGSIrcdCNHKnSuFAwKwd3b+VEXf7P/1VN4OW3jCoIB5K7sG04x12wDHj5VheFMpgkOZhr4zQt4FoAxjiStECSFeCMYaQinNlDHIBjW2m/Cbo4xl1kCrAwJeCZI566+1gRU+c/1z03JVnX7Vsp0dY0VVBlGgGsDNcYa8ssm0IbJJlCkilM0gLvXBQ4nnBg48DUczYLRGGA/b0+Pvltr+N3vvJ1nJ0PdnZ4LhiYU7EzunnomUCjew+eqxRGM9spIHn27BkA4N69e3Pf37t3r/zt2bNnuHv37nwjpMTh4WG5zaL97M/+LH7qp35qyS8L5NT6R2uhjQYXHO04Aucc1hpMpsW11o7PpRjYVVw0VKCrmtQN9Id0fvJ59Hmel3HLIJCIghBKq7Jw26IZJ1vOGCurXG7L+ShWhGZ0nkJlz4dPxAB0pUY3oFDM3EQFgDlNBu6UMQU4AkGOaWMEDjpAKBg+8yBCHCgwpvD+kCTOS/uQ9oEP1BiB2yAIEEUhRuMJtKbCh8oyFIahUBQayBVHXhgE0oBzg1By8kiCuCNCcEjO3TtoKXxhaYFgGUhWAwQsmPOm2KoZ9HfpFaCZXLCFtaQUUNKUAMcY0m0xtgIkoeCIA9IXOQwi3IlC2GsAamEyhGoMpTU4/LlrnA/32TiCLUrwYStQAicS5wm4pSeHROOqkJOtqcoSEKeh3JbVeQvjUn+VT/ulPydTYHR9WZprWPMXjHSxFKbTmctoabBTg0fIGC1GpZRQSiHLi6WKtcssCEIEgUQcRhiNJ8g3ASSrIjYrwz6bk49fiCybv/N3/g7+1t/6W+W/R6MRXnnllblr9C/F4oQlucBev4coCmC0wSxJy5gt8OEAGADKFQVtvgC0lhhl1gxwcf3WbWybggKtNYajMYajcbnSarda2Ot1oQ2VwV4GSPK8uLKM9otkjAGv35K4zySEK2NvrK1WiaxKl/QRcsZI6wJgJKUeCPy572T49FmGN54l+L/9RoZBCuDStPd7xzyHamWvtEC73Uav28Zev4csz5GmGckCWIlEAUmukOSKCMVSlCEz7jwarUgilsJxRxjGSUE8D1Sy8HPtQcUJqT673+vPqPbee28EnZeh2wrLY+114ICAu6TaxbZUF/0ixH/NGbadq/fUMzxMvwylMxiYmqz9It+jAie+nVX3nQ/xrNJZcVBsLkTqL8erTSsDFEqXpNYkU5hmCm8NOM6S7RMCnkdY1luapkjTFMenZ813sle0z3n6Dg/20YojjCdTDEbjxoCk226h2+3g1sE+vvHWu8iKq0M4q8JD8/PVgi1+1fBx7RSQ3L9/HwBwdHSEBw8elN8fHR3he77ne8ptjo+P5/ZTSuH8/Lzcf9GiKEIURctPar0kdYA4inB8ej73cAqlcHZ+AenUXFeFB27MGp6rFceIwgCBlJjOEsySy4qSHwXzA8l4MkGWZuSeVR8c031y/A5UNsWdN/4w2A27gRkMPm7fxAMc0WrTUrmO0v3N5mGFcG5Z42YzL8LVQ4hXbzP0WgIPD9v4yrMMv/zlCQYpoD4kHhKfmXKw3wcAKhCWZjt1Eft6HHfv3EKe5cjy3KW/X7bJdIYsyzAcTZCmlXS8ZiEKMOQqQ14YZMIgyTXxzuhKyvRTrS2kIGAoOIeFha557WiiZUDpIah8X6yatcmT4D779NwKsFTDPEqPy2XAUn4BoEinmI2PYONPbx3JkMUIUfIEKfKK+4HLHpI5oi1QU3b13/mw40LIp3Ys1Pb31+gcJNAOkBTaQimDQmtMswInY4WnQ4XzNMRM/d4D3aVZCtmfnw8ghECW543BCACMZzMkWYaLwehac0wUBuj3ugiCAHlR4PRsNwvHnQKS119/Hffv38ev/uqvlgBkNBrhC1/4Av76X//rAIA/+kf/KAaDAb70pS/he7/3ewEA//7f/3sYY/D93//9W52XMVdyOpA1xrsPylpkeY5CUSpbWXp9W8/Ixrs124FeagbpVme7TAte2bIPkEtjtEEBRW7ajYheO2qzO4xKp8hlgHw2RBB3IYIVwHcHxgAc2HP02Ljsi8bWJ6faZ9TSQTlAAtfcuc2BHiwkB/ptyhJ561jiG6ca49Qi+RCoNvpJlOpJMadpMf/eMbCy3hRAirMbn4VVMvmLWjNCSLcAMWW14jwvygwD68IFynJMcqCrDMJaZgfnDIEo5cXAoGEshU4Ed/F7W8vk8rjB8V5rRXPLzx5n1H+H/8tWGKU+5VrYOkyZ+40xIEKOPTbBHp9gAoYE8QZ30KDHZtiTGfZCA21ECRzmuHYeQGtdElw5A5ipgRT3PKimTw3EuANc5p9U98TL8VNKq3XaIxS2yQqNYWLwdGSRKkBf5UVYY55cL6WgkIfjk12VRvv8PCtXE0UpbTcHGHmfbZPdnCmlHIeq+eJgWe0yxjmEFOh0WghziYvBcKNirKtsY0AymUzwzW9WBbbefvtt/OZv/iYODw/x6quv4m/+zb+Jn/mZn8Ebb7xRpv0+fPiw1Cr59Kc/jc9+9rP4a3/tr+Gf/bN/hqIo8JM/+ZP4kR/5ka0zbJKEVjyepc05hzYuIwM+w+X5pndualmel4RbL+L2IVns3ojJQCCOIjAwpFmO5APUPtZ5hrNv/Qb2XvoUundevbHzMFjc4efoY1yx3gUDE5xK2JcDe20fBggATHCAGXBDE6/kbqWeKXzH/Qgv9/fwf//iOd480fjGxc1ULd7EjDWAJc8EY4wyDBZ0Dxhn6HTaAOgdHY0nG57DIssLHJ+cuVofGhak4imEwP5eD4VSyLIMaZbBGJ8/Mm8zBXxzKBFFFqFUKLRAVtBTkIxSc5XhsIaAiBQcgAbnlP7rvQEWtHoFauCEVW+y/8wu/V599mGZxZAGHD+j3BYgRGOBh3GKe3EOqd7E2/ohvq5eb3wPQyj8wfAbeKOd4lV+B8NpWi4QxrOc1FIdAMsLjeG4KMGG8OEoVg/tLGTXYEnYpxb6AZv3Wis3jufKIFMaeWEwTQo8Glj81pFFzjD/gmxhQnDs9Xu4fXiAk7NzJEmKWbJFhewPxMgjp+YSF5rfEK3Mte8f4wzakODovTu3gVaM8+EIs1lybUXnjQHJr//6r+NP/ak/Vf7bczv+8l/+y/iX//Jf4m//7b+N6XSKn/iJn8BgMMAf/+N/HL/8y79capAAwL/5N/8GP/mTP4k/82f+TCmM9vM///NbX4QyGiYn4uRO5XA3Osz1zmmMQWEtzGxGol079F58GKsbe/2FO7cOMRyNa4WertHWLXc1KsPFu78Lo3KodIL+S58CX1K06zp2gHPcxxGEyWGpqhoKbcAVo4lOiqqGydykRUtpbgEwTinCIB0I7vRZpKup8gOf3sfH7+SIv5ng7QvTWERtVyaEgBS0wtaayhikaQYuOAJJyrjGWFwMhm4P6gOddhuBFBhPphv1VcrKMEjSbI7wbEGTXa/XxXQ6Q5Kma1duxlpKJ80Y0oAjC2XJjcgEh4EtuT6C02TABQM3VBW45Eh4rwdQTb5w33vPAKrPy0I6zG9b36/8Hii/KTehkzJYvMHfBrMa52wP55Yq/K6zh/wYD8QpPiO/iT6bAgzoxFU6bSuSxHNypzPG4v5eG0lBhd48CZvuX+FAmcVkSh2vrOHD6iJodDFV+r97ZhauiB6FxtJCIVcOmBQauRZQLKgu/BrGGGVdjsZTJEk2V3Jhla3qlzflOfEef4CVOk5rWrfi+3mwK4RAGMrSwzLnmd7gMowxUApIkePkjOqm+QWHhQXnHL1OG0EQlARy0xCnbAxI/uSf/JNrBw3GGH76p38aP/3TP71ym8PDw52IoNVdSaZBldt6G4FaJ3uOwOPSuf1R3YC6TYy9chnTsbkL91h82MDI5eflV1KNUotWGautthbCP3X9hFVZOtYYZOMzzM6fgAuJ9uFLEFELQoZNL2xNuy0ipDhgF3gJT8CtggHAQUqMitO/mLFl/J+7i2Jzkw7tYxkjjwk4GLMIA1GKdX3ibowo4Hg6KpAoheOJxSh7fs8/kBLtVuwymgoUisIwAkAYMFd1terfVfqsrQqvbWjWeRQvfV9OdFe/U8Yy5JYjKYBZAXQVpf9yRqDRg4FC87LAmQTJxBtWCX55AOHBZAlG6p8x/z19rLwf1XcoJ4l5j4oL39TCQYQLLA4wwF3WxgN+DGuAxEbIELpzWkjnH2IwaLEcL4kjvCyOcYedgzPyaAWCytozAKG8DMqtA2+qVo/K2AoE0mTnzsMYKIWY+YikIwIDZVqB9c+AwIgxKNN+jbElgLOMwzABD8gYZ9treliqB5MkCQpVbK56inkgctV8CPjn2TwMX2owCY6i0FsWLK3OJYRAHIcIpITS+nKh2SvG10UjUKIwHk/BGAESP/Z6blcchZhMZ1SH56OUZbPOGGeIo9CJ6agrQQljDGEYQHBBxfg2uFnXNc45WjFxFHZN8AMcCuYccRwhz3NSfNzpGXZnPpb5jbfevfaxpBAQQoBzjtStlgGUceIoDF0auEGappdinYwBYRggHzzFYHwKMIbe/U+gf/8T126bgMK329/Ba/Y9vM7eg9BUth6cI1cko0/ZNlQPJJS8mqxMRRCkhtJnKRgMZ2DagAUCWlBNHMmpYvD9vQDf+d4UXzvK8f/47eeXI3mw38crDx/gnUeP3WRBgx5jDFJIF1qtVqPWWsyS3RO4fTHBt955r9n2LEAmb+NZUaBICrSCFBaAthZCMGgjoIQtn5EU3KX8+qJz88DXhyj85/qkVH2/mHlia9suhH0wv23990UPy0vsMR6Kp3gq7uCZuYuv6DfAAEQsxz1+CgDosATfK7/sVGrpcKbi0FZuHtS8Oaj6YTuSc+0DgINuxb167W6/POZompK3l1EISBtLeUl1B4nj4ShtEDgRy0JbdLoScShwNkzRHVehLJ++nWYUqt90HC2UQqEUptckdVrX7iZgIQikoxKYRqqtQgi04hjdbhtpml271EmnFeOlh/ccmTXdHszVzBiD0WQ+zMoZQxgEAKPFiNYadgOJ+hcakHBOgjutVuxcxRyn5+cUx1pxvy0sDvb66Hc7eHZ8ijTNax3qZqdvBqDX7YAzYvBnWbZSxGwbzwYDIKTA4f4expMpZkmCdBEJo47ut8042n5lchMmpcT+Xh+9bgfvPXqCQhFRTbjCfvv7fTAw5HmBc2Oo+rOtgCtjBOI67RaiMMLx028gm46QXByhd/91BHEXQau3cbv6+hT7+gSvmG9gj4+guQY4h7CABREnffw8sIAVtPoT3GmRcAZuLEy5mq65YGEdIdSAMe7XjeWE9/G7Mfptib1uiC+8neDts8LpN9yMixkAhsMxtDYYj6fkJfGrX22QZplz+5uN+oGfpP3gv0tjnJVt0cbgPAFyxdFjGnecAJoUnCZR5y2QgrJujLFOaK8qFFcJg1UApQQrQLlN5TWZBy2VJ6TucakASfkbqt/gwUztM2DQxwASGTp8TH2KGbQZTcAB02BWA47Ya2okUcI7FYCyjoVbg0Go/Vi/m/MfGXn62nFQknIjKUpvit/fe7CMsVCa0Ik2Fnf6dF5raZwPuEHMNQyP0W5F2Ov3cHp+gcwWG06u1+v/ftF3sL8HozXyQqEYqbV9kzOGu7dvIQgCHJ2cugXR5XG/7nUpFFX0TbPs2rwMzjmyPMezo9Pa8a4mz5bW9PYyV/yvKGAmU3DGNhYifbEBiSsqF4XkipJS4vyCA7b+ABduhgXiKEK300EQDJz+xfPxI1hrEQYBOOeQQiDHjjNp3OAYu9WDyC7nABKIE26gNSi2cQV+gG6XS4xvN/DHUYh+twMhRJmtQVlLEnEUlVkYQoilcV8hONqtGK04xruPvoFsOkY2uYAII8S924BTRWScg4vlstXWaAhmwZmFtAX66hnu6Ec4tE8QcQ0laiO1QQlI/GxT5VJw5wL3U4DTJ/FpGP66YWE5d8JcXp6fA5C4vxfisCPx+i2DcUIaDqmyUMbeWB2cVd4Oaw20UmCcY5NK2z51WEoJa4zz+O2m8YxxSEG5S9YS32VigEIznAgglAaSA4FQsFa4fQBjOISolULgbI6wyd12jLMa+HAJ5QvAYyUgqW9T855cBh++j9Q/k8Vshhgz3GJn1Xn8jxYwTqjM4Y0KZ9RCQba2fQWIK69KhWM8EKrdX/d3KKvspyi4HALyGS7aARKtDZQxYAiROjE0xgDJgUhY5IvvNLDZeMS27T81LxfnaEVRWQZkbUaktWCco9NuI4pCx7lYDorqx/AeZKxx4lzFX/FlBqSU0MbgYjjaYL7ZAuS5XVShoYoFENXwcMx+uEgGjWw0GpEk/f/u/4iPvfYKHj89wnSWuHjVIpq8fHl+cvKcgudxC/w5fJqjLyJ1EyaFIFXHJdcWRxF63Q5effkBhuMxvrlNyORDBEiAauJiDpHXOTV+0gBYuRpb9rw5o1Q2iodqf2AwLhC2+oj7dwAAcf82Dl77jvrZAQBG5ZidP8ErPYN7UYLXZl9CWxrEAUMn4Agk/Qkld3oivNS0CKVEFFL2RixlWfE3kKLUHqmkt+uDkOdJ+Bg8rdyVy1DwstsXkwJPhxn+zRfO8N6Q4SR5vrLbYRBgb6+HvX4PSmm88977jfdrtWK8/PA+ZkmC995/srOyCHEU4fBgH+1WhCwv8OjxU/eLBQfwcnuGe3GOV/cFOrFEKxSIAgkpGAJBqq3eQ1vX7JjPJnFgkteyTcrP7NK2QM2bgnotmbqGxwrBsdo2q46HJd8t/j4PkvyRl/+O2jHmTrHgLFn8wv+r7LdO+lwZC+XASZarUs7/YpLit54BX3zCcDolVgpnlOmx8RC6tYNk3oskeFUk9SoPTTU+uTTdHY2fVwESWni30e93kbgq59sUKG3Qkiu3MFrhnd/8DxgOh+j3+yu3e6E9JLMkwdHJKYqioBVyr4Pj03MUvrLsCts05shcXOzwYA8MwNPjUxIxcwPmeDLFbHYZyvr0w9u3DqCUxsVwNDdh7t7ouJWew+XzaK2QpClOzs6RpumlTThnCIIAB/t9zGYJsry4TIC6Vgt3f+0riY0lUfhSIy4Z1RPR879bi0AyBExD6ilmsxlUOoHKL8dzrdEoZiOwsMBE5ojjMQ47HGgLCAQwlsOicvs7+pdz3Wow5sIAYAjAYazXoqE/Em6l6SutojYgMVutxjkAwWFZlYWz1wbAgP/xk3389pMcb54qvD/cvaek026j3+tiMpkiLwpkOfUbYwyyNMMIWEogjMLQCRuGmKUpZrO05PzkeYGLwRB5Xuz0vaECnAmKYlF2m7RXB3kAZRgsCtzuKBy0DFqRRehAZeFIr9wBRi8I5lNffSjH80zKgnhrAEkdTNQBDuZ+m/eewH/2v9MlXAI2mPu+DthrNXMXfwNQekQueWj8IVnpdWD+69oG/hj+O2bnXz9SzbZlSM4a+uNr2hgX0sw1MC1Qfrc1LN3aQVLtSGRsX1Jx/oCcU0ZZK46RZBm00iWXYtfm34cwCJx+FUeeFyUFQTvy6ng8qaqt34jt7r18oQHJdDZDoTRacYz9vR7u3bmF4cilGV3z5tcHP0qXCnDvzi0wxnB0coYoDNFut3B4sEdVhJcAEh8iuHv7FnWMyRSm7MiNW7Jhw9fvo7SGSRMcHS/voJxxhEGAO7cOccYHwGS6FJDsClhw58bfaLJpGP5c5Uq9nOlkVxyX2OKRZIiQYzQbolDnmJ6tXuFPdIYTptB/yKCtdKmivPLagABGeSm2mlSM9dkWFtZNeBSM4URAZHBAw01w1sf3aVLgnLlxk2Yoyrai80jJ8cffYOBiCmNnOJ1qZAo7rX/UabdIl8BaTGazEpBol5qbZNnS5xGFATqdNvb6XbCLoVNSta5eU47T8wGs4xnsyrQmHQVrLmfhCM4x1hGmSqIoFJQxgNFQhgBJ5IrjlYDEAxDByiq29cq33IVvfCinBBtznpUaGHFgoKqku/C7B59wfdl9XgQvQO17f34PHmpgpM4pK4+PCvi6HeZCiJWnw1bHrjatAZby0NR/UX1vgRJwGOdpsBbl39ZYB0wtUg1Mcpeps+XYU/P1bG6XIv9L2sBoPAvDEHv9HuzQIkXeoML7Zu1a5AAGIYWwpBBzJFulqep9mmeOp7M78TcPjstU+yvH72bP7IUGJD4/W2tKixpPZygaaPNvalprJEmKdx49Lh9EmucoHBCpNDQW9jMGJs/xzqPHZez8g46PWUMvuFbL75PWGkma4f3Hz5AXaiNZ4k1NcI5PfuJ1TGYzXAyGNEHsYBUsGIeUAt1uB0prKm6lNQTnaMUx+r0uANQIZquOZJHnOYTL5PITxboWWh4iRYD/dsxwd6xwr53j+17S6MYC7UiiHVsEgiPSAmEISM5KtU/FOaUCB47jY4HAcEhOA48P39DIRynArg4fAJSTCRMAc5olnNE5osAgEAx/4g2B73rYwmcezvDf3s3xX9/b3ftyMRwhSVJY2Ll+44srrrJZmiJX5LnLsmJukNPWQue7f6eNsUvrJ7XiGN/+yY/j2dEJBsMRzlJgOCjwrUGOl9sZ4oAjCgXudoCAO70IF74Rgv7tqzTTZ1ShHB9+c8BCuJR3jvmQXFl4rgQRjgzL60Cl5jHxgKTmfZkj0i54UlA77iXC7IKnBv7zglfFbe028Om5cF4UwAMafxD6OL+f94zUvSFeOl67cSpXFu8ONM6nxN/5UJtzBFljqC/n+XYcvTUWOAI/hX8MzgdDSCEhhcRkOp3r001AyDYWhiF63Q7u37mN4XjssoASZPn21di9vdCAxBul/BZuINzcO3LVJOjdx0mSAoyRIqyy0IxBOZccALTiyDkoLISQVMk2LygVFW4ltvJc23hCdm8WJA+dpKnjJNxcWrQFTUZKKXAnxb2LU/lDRGEArhgSzhFxAS6IIAlGwIwzdqXrV2tdrfSbpIi75WFhgGFGBfSeziRuAWBMg3MOI6uVqREMgQAYOCmZupHdWPJ4wJK3pAzfgCiuFn7yAhY1yGlycl9bDisBphlMAPQsAZRvu6MxyYFEGbx3YZBpRpVvlSozf8IgKDNRfObSOlNKIbHuvrptO+0WrIVTSl3O3yEOQUFg2aVEfhDUNsYYjDWYzVKqLg3KQCmsgEaIk5wh0AxBwTEpCkgGCA5EXCMQQCwtpCBuUDsgwTrOSVXXAwjSN/HhXO9F8YCk8qgwVMCl/G7OY1L7G1UIp/47gPltHJhlsKXHpfSE1D+jDkjmPSmslnXjPSUof4MDJ25f6//tj1P3BVQ6SV57xIMQpYlLojTVspllCrni2LpQz9wZlzz363hOnHl5AWNo/pklSaXNUXcLrWjZcru8g3Xk9cq7RIsmT/reRlOlPPYab3LdhCMTF6pAEEgYYzCeTLc+b90+EoCEctj12loY1x3gjEsXrf49/ztnDN1Oh36zBq04xixJUBSqnNBqrbn6hM95PK6/rNpaJNkN6FcsXJMxBmfnF+Wq8irvw9KDrNjGWIsgIGVHzhiiOKLzcO7qmphyYF13RO3iv2m6+f2YKIFEC7wzDqBsgYgVtLIxwrWSITBVC4SrX28tYDTAoGClKOvdGMFBbBEDDl6tTGvud79C5eXo71bjzLNWqH7Mx+8YSAHsRcCvvJlhkHFMVIDxrCKGh1EIKaitZpZcLTC2sCJjjJHr2lrogaaBcxl/xwliXTe9cRemlcbJ6RnyggCSBWCZgIHASREChQN8IxdM4wxtliMWBnuhRhAIxBK41XLghBMJ1k/woXRkWIZSfE1weiYeWHgvigcq9DeFUz3AKD0vDrwA83LtpUoq5kM/JdG79IpUXhKgAjpAtS19XwsDsYWwjgMqiwDGHfzSthUZu+KIGEs6JEr7vw1ybZAXGtNMIVdy/kW9PoYobSlRfsMTRGGA/b0eRuMJ8rxYLkXfMNS8bgcfkmE10J+kGZKt6zyvt8V504cjtTEYTabotFuQQuyMG/mRACQfBrOgejStOEK31aG0NAZkWY5Zkn4gK751FjjxGmude71h88KgSnndTj2wZhaYTpNyINsVR8BPjI+fHgHOu8UFB3OCSqPxGHlWrA0j7Mq0Bb5+XOCdE4WWKPAnXytw0Bbod0J0IoNQ0mRnXJ0UawWM1dDcwIBDaYtAUx0VKTm0oW0Ep5RfCze5cBB/AfOPUjC47CGL0E1gUtPk93EhcK8X4fXbKd4dMPzOqcDnv5FinJAKp9GkmxJFIdI0hcLmODnLCwjO0Y5jMFBNm+dx371JKRBIicJ5TteBKh9auhiOyDO1ajsAmpMQGAMwQoixBs5TC2QURuMj70WwCGwGxhgEA/qhQktatKRBHEi0JNAJqB/47JlAes9KlclTghTvPeF1YOJ+Kz0ui/yUCoxU3pJ6SKjmWZn7rhYuqoWG6p8v6aeg5q1xN6gCKhVw8cOhcZlvxgJKWxQuOywtNJJMYZRo/NZTYPScC4KHoQRj3C1Ilnv2vNX5FHUQdxOmtcFkOoVHL8IVueOMOeLqZm8oYwyBJBhgYa+U0fcJBGmaIk1TnF8MSLV1R6TdFx6QNJno/YvTdPstWkFM8KIoX/4gkABjCAIJli6c9waxSZPwCgO1z/+5GAwbrU4ZI0DCBS8nl81BROW/pEfis2B2H+us8xj8Z8aojsWuXiBgdZ/yfS7XQGEZkkLg7YHFuADumQIAc0RWAAEgBe1jQaEexky1+mWueJv1ZFW/jOWwHBCGwXCvYIJqZcrgXPQU7pEuzh0GHGCUxgqE4MKiAPDOMwZugUFSy9Zim2em+fuSpRmkJCVdSvtVOD2/2PhYy8wP++t6YBgE6LTbmDpvZZPraHStTpfG1s6v6//wh7AWEoHzVACFodBOJIE92UGiDcZaASYnPRnGEAcWAbcIhYZ0KeAt6aoas8s8FO9FqdLDPbm2WtFWnpUlIZ8asKmHa5YXxJv3lJTbuC/KbVABmgqoVOEed2tK0ip5SFyVX22QFwYXM4NnI4NxIZAbH4Ok4201hjbECYwxtFotCM4xdZ7BqyQaCseBUkqVhV03tnWnqN133z8ZI9J9t9OGlBLHp+eY75FuxzUmhEC304Z2EYarAIlXG/dh2Cbv1CYA7YUGJNbaRn3M54EDKEuPNzzDJo1BmhBq5BMSXQIjVx5jW75AZSt2i2AsgDgmPZJbB3uYThOo4moZZXpRI4QBufKnsxmMaaL6t+xYKPVBdlG2+irL84JcqTsizjYxcp1TuXoLgcJy/Lcj4G6rwKeSnFbMsaSMEmsRSJ9xJGAF0VWNBZQhvQNtBQJDAEZyXqpeSsvL8LqdW9W6MI1fvXEODUsudc4guKFJDAxxqHCnU+DxMUPIGAYJkT5zrHA/N7TxdIowCNDvdfHS/bvQxuwEkJSiWFieSuyt027jzu0DmBML2HTnJMMrjTFAtKCthbIWmQ7BDCC0gD28D61otTk6P4I1CoJz9EONljDoiIKyelwIKHAhIC82xhw/xQMRyZlTj2VzQEM4jR7OKwDDMA9sLqce10BKDbhQn0btcx2szId7Sr0UzyJh85OTz67ThsjLyhXTyxXp57x3ofDmqUaGAGZuUtvy/bVXzxbMhc8O9vuQQlLBVq0vx+jrh7UWqasovak1DQ1xxj0Ghtb04nPO0G7FuHfnFtqtlhNdW+SsrL5XnAuXUXmAJMmQpCmmS7JFq+2p4N+tgwOS3z+nmlVX2SZZlC+0MNpr3/0/gourMZUQAnduHSAKQ4ycZshlXscy2wSQzP8zDAMwtwIuVPGhAiQAkbCkI3nOkhSmoeBUEEgXy2bI8hyb1CmoWxxHaLdivPTgHk7PB3j67Hir42xjz6vL3793B7cP9/H06MRlY9GAJblFSxi80i1wvwt8+p5ELw4QhQKdKEAoSSQtCgSE4E4kjTvCJEccCJqcJEcoBSRnkJLPufgrVz4NetYNVH79pLUpSYRZoVEoUsV8dJ7hyaDAl5+k+JU3U5xMr++5IjKnQBiFgLVrB70mJoVAp93CrcMDABZvv/v+yjfEewGLXLnibTelxXDZmPOQ3rtzG3lOuiyD4cj9BkRhVIr1qSIHc2J4H3/lIRgsnh09QyAl4ijEgzsHeHZ0gtFohMDmDlBa3AkzBE6sLZQccQD0QlvyUxgYpHSKnYKV4KT0rJQhv1qoh1Wgxv/m05lpIeE8ICBStc8UWgz1+NCS99RVvCa4vmidpocTQyuosm9SaLx1kuErpxzfumBINS1cdvBEmm3F6dkwxpC7zJGbGjGaABICHbdL0HMxGJW/SSkRujo5k9lsI56NX6hHYUihKWOu9JT77T2Xpen7ZLTCu7/1nz7awmhNrVRkdU+L9EE42q0WiqJAXijHjaCV6iU5+S1647KUwkvtumnm6prDkzQxwLJFouEVrslClW7YTcFIIH2BKV1qZFj630bHuSlA4Yv0+YlrF1o2y0JayjCMDcfRlABrv2XxEBpdS54PgAqTce7DNMQBAciTJNy984O8tT40Uwl4U0YFbWRreuAucFl6pxizZdiIgeHBvkUkGawx+MaZguAKFzONwqCxkBpjtJKKowizJIHWpixo5u7Mtrd0bu95Gfrlxyxc6nrVZXbZd2hA77RbLrMiXWhTdU4ChFVbrUW5KKLyAc4jBoHCkp5EoiUKJqGVwEVGf0ZFgJaQgDZg2sBqBcmp3wSSI5bAKLAIBUrtmlBYSA7EkkEI8opFglbdJReFo9JUqfFV5rOAqm0ZKuAy50HxYMSBGW5qxFhezZD+HTaGPFxKExgZpxrDVOPRCDhLgFTvMtW3ei5+Mm63Wk7qoOL5WcNK7aXGY82WeKnJHOB71LKhspSYX7XjFefWmjSCmpV0YC65Y7me0C7s9wQgMcbg7GIA5uuRMKc38G2v4+TsHCdnF7hz6xC+psXRydkNSex+iMzO/bXRjtQXN9uTM4a9fhetOMZ4SmJro/EEs1lyrVS1XVq320G308YsSZEk6Up9maZ2enqO84sBACyRPGc4y0MMFXCUGPyJVxQedCnlthUFCAMOC0seEEGDhbGcyKzWOp0SKlYW+HIEFhCCAU4RllaktpxMqjMzCE6cBm2oxoj0q2BOmSDdiMPA4psnGX716wlNDg25qEEgcftwH6+98hK+9uZbmEynOyWyGqMxTZJyElk/qG9bQPJqE4JWi5/8+GvIiwJf++bbc+DHWgtVFDg+OStrttTfGwL085O01rqUsS+UQlEopGmG4XgCYyykDHB45xayPEeW5Xg6CS5PDhYIkEMwIkK3WY6WMDho0bMNhcWeVAik95hQxo8QHJJ7vRuOipvCS6BRaat4j4rbDii9c8tCOfXsnZJm4xRZC62htUWmNB5dFHgysvhvT8Mbq7kE0OIjjmN8+xsfx3gywTffeneOV/ZhChykaYanz44bcVk2MguAbZ5if5P35oUHJEIIvHT/LvKiwMVw5CSmL09wBDCqDmeMwaPHT10Ja42z8wt6uXz6HTZeuJd2Y56PBodlLq7oeSvEyN6dMQZEUYQ4CpFlOZTSjSYbYy1maQaljXPR+jLcplGMkTsCVxxHCIMAYRhgOkuQptm1gYO3olBI0gx5nm8BSC+3n0SeqC+uuj5jgZkW+M1j4N2Rxcf3c9zvW/Rbooyvh5IDVkAa67gllQaBtRZKcBgjEAZEbrXGTTCcdC+sId6Iz7CgmYG8I0IwMAMAvPxeMA7BOD79EHiwF+HVgxD/y1dn+OZpgYsG0RatNUbjKd579ARplm5c4fcqI8E0Xb3NDY7dbsfwVbaTJNlJRpc1BkopvP/kGT1rn41RO3SpkWRXjQvz3xmjURTOe2ANbJ0F6sIiSZKUYGVVv1KQ0KBigTk4ppYhVSENgdbCFBmELcBh6N3iGiFX6EcWAafwzn4MBK7ektdPqWupCM6duBv1t8ozUknn10m2dS9CKQaoLdJcYZIZfPPc4vGY4SwVqPD7vFdjV+azC997/wmyPF9YFG3RNxrwU+Zsg82NJQHQKuy6un0ba6o0udTykBttvJW90IDEd9AoDAEQ6i1QLH/tFwYKbRWG44mTpDZIlIIQgiqLen/4FQ9gW+DhKzAqrWHtCkLnVocmUSLproOB5PXrxeaEA11Fvvw+NbFACrTiGFpfLeddHzB9jSHOWDl4N3eJVvHOOA4RBAGKQu2UpEhCdiQOdu0Byu131bM1AArDcDLjmOUGIbPgnGTKJWfl5j7LBkCNJG3AmCd3u9RD4VaibnvGbanm6sEIq/UHwLp+4ZomGHkSGXCrG6IbCvQjhrfPlBOsUkgKQK1xalljkWU5hna8dtLcxDinFTx5mmyt5MBysOf5G8aBXykkhKB6H2maYhcIyVpa2Iwm00qCfslh6+8I5wxcCAhXEn7p9rUFlZ+E6JrIq5LlRZkVsdQYIEQIyo6yyI2hujwqgIWrLZRpMGPBjAbnQMAsQg7MCoOAU72lTFsEAhDcIuCm5JgEwhC5VuhSPTiSNSItr8CIYBWvafGeKGMxzS0maYFRYvFowHGcckyK5WGaq7LZVv3mPTWmNt4Y540ajcdXpvXWjTvNpEpDZVXI8IqJeWFzxkCVxBlbmnhhFhbZJfGYs7n234j427JDrjzcRhtfshcakHgX59HJaYnMG+AIty9IebVmSumdFpJbZpxzxFGEe3du4WwwQJKkV6ZabWLWcWA6rRaiKMD5YFh21jiO0eu00Ot28N77T7dyo1NYQCKOo43JicSr2Q5A0GpKkbol5xiPJ67mye5Ca1mW3/jzv2QWMNog0UBSMJwmAR6PFe53FL7/VYNOJBGHAmgFCISAEjTkCM4gLC9XmdrQRBNIDgNJuiYufONXsvCERDaveckdJ4hxgEkBYZ3nhKEsJvc/fa/As2GO/+evX+CrxxpPx6tfMs+/2RVYJL5XjIP9PZxfDGEteTyUojTFRS+grz314O4djCYTXAxGMMYgDAO0Wy2MRmPoHaSZ0ypbNxZ0Y6AKrP1+F91OG2+/+3ij/kvjnW3k9TzY74MxhjQjWW+tNWbJ/PtqWQArAhgACkBigWE9UWRSfZQ6BYOF4EAv0GhJJwQnOCIB3G6BQkDOU1JWtK7pqNBNoL+zQmGUMXzjXOB0lGCaAxO+1/heNLUwkAiCAEIIpFlWvt/GGOTGbDwctVsxWnGMQlEobZvMmmUmJXGuWnGE4WhMBfnWhLLjKEIYBojCEJPpbI4D8yLbCw1IPN2nUIVDrnz+pxUmhMteEMJV+2w2KOwiFFOXz46DEDAWRd4UGDQgQDn288VwBCE47MJKX2mDPFclwt60E0cRMbKHozESBwiex4vgXawXgzGEmEIpDW104+yghaPttG2ccwgHNH1u/nZGg/VFKlBohuhxgdcPLe73KdwSSoswEKWLXFrax3iymwvxWABWckhDvhHJLQwnz5mFmxM4K3Uv6NSuYrCgbGEGkpz3WRnWueP/7Hf00Wsl+NpRjjdPNi0Uua2Rt8dfm7EEdhjn4OLy6ksKQZOQq4DKGIHNQikkSbpTDZqNzJHptSbV5ygKy/Gn8TvUcDNfjqGeHn25Pc2OBQtoTqR/DYaRtpgZi5G2ZXjm0QwQUBQC4kAkgEjoefE2zsBEAB52kGiGaWbwbJIi022okoO9+Up+3b3jri90Oy3SxbnmgsNaNORxXE0QLT8xCrOHDjgZT4a3lzad24eVnpqrPTyLc9e1PCZ0wCWNWrdxs477YgMSd43GGHDOIQMBnl5dn0S4EtFhGJSrnJusc7B4aGuJaCilhCwHx90N7VprJEsGXWPoWj27f5UzqR7iqRtjjLKRrEWaZlBFcS2SVUNnVmnGWMcX2TGxa1tzt8f3p1Yclyvm64C0RHMUBnjnwqAbM3RiBs4rETrB68+IE2fKOpc+AObkza0TWoMgsTXmivRxANwP/raS/Ebdc8KBAFSgj84lIDjDdzxsY5BQVsT7Q6oYXLh2Lb4ru+NSOfKjC/kZQ+TzKrw6fyavJcEdmAKIIGrVB7uC9HdHa408L9BuxUgZg9bJzom3hVIQ3JcocOevL0A2OR8DLKpjZZb+LA60TAPMKipGKQwiYSnTx/GVOGfgkoPHARIjkRUao7wAoeC1p7/ea8oAwcWVC7C64NuqzYx13LcrydRX2VyPrbXPuPo3dvmm5Xe25DBdOxtwV5yUdbej4a16sQEJ4C6Uodfp4MG9O3jrnfephsyacAQXHEEQoNfrOtScreyAQSABMFqNbyCqFgYUr7VLcrs5Y4jCEHle7JSodZVlWYYsyzAaN9+Hc6qcq5QGrEUrJsls40rKbzuSBlJCCF5Ker+I7kYG8rbFUYQoDNHttpEXOQrV3Ou2ypTlOC46+FZ2gGkS4+PpO+jFHN04gDYBQikQBhaRocrARtbrgXAoQ0JaxpDgmnQl3aWbrGErgSuB+YUpZwAXDJoxcGsdgZEhEMRr+ZPf3sdnXopR6DN87Vjh3YEnOXiuhyBtjR1l1iitoWYzTGez6ss1nnKfYlsnTH/wdbbp+YwmU0RhiFYc49Of+gROzy7w1jvv7fxck0l1r4gjJBAEsqzjdBP3w3IJC0m8KAuMFx5/OblNps3okY43FkhRpo5varNZgtkscaG+q88qnPjXqnEpcRl4uzRrDc4HgyW/rJ4bZkkKJI02vXxUd18JsNrrlwDZob34gATE/RhPpjCGFPN87M0PsoureGK9W2ijnbjX6o661+9BCI40yzGZTquJZl3fZhTjCwKJQEqcnJ3PxYrzosDRySny3NdTeT4hD9c0AkG11cKq6xeCIwwC3L51WKbojqezkum9rSgaAERxiHarhSzLkGY5sm1jsTu6ddWE3DyMxRlHK45x62AfUgqcnl9QleQdDfjaAKfDGZI0wznjuN+xuNfN8TKAVmigrS3JeoAFBIeXlGeMUXYNaCHreZVWUDovicxzCAYYvkB6dWtSzgBL8R3nbSFPiQVwaIE/8rE2jJ1imuY4SwXCIESrFSMKQ6RZjtF4fC2g6SewTe+lB0W7BvuLKqNNtl22nXIy4+8+eowkSXew2l4498LsJJ242sHBHi4GIwpbbTK5N25a7bz28td26Y+rLZABwijAfr+PyXSKwXCDldSCNemHQRAgjkMc7PVxej5AmmaXvA+eIPt84G11lqo/zX/vfm3WIPccAimxv9eHdlLx6wBJs1Iku3vPXnhAYkFkx8lMkVIdUGYcSEluxkIVcwt5Xxl4KSFp4UVqt1qQkga3WZIAVq/YuLabJYZ/KyaS0vnFYA6QKKVwdj7Y8ordmbcc6BnnZQVXB0dWhhj8Pdzrd1EUBdI0w+xKImuz2GkgA7TiGAzkws52u+hobBbkUib3Prn4C59id4WRsqZEp9MGYwyD4XinE4u1FsNpguEUeAKBcVYgLzS6ES/5FIIzuORQl6rO4X3p1vEnrDuW/2ysS9UE9QdY2terbQL+HXIDEmcQ5W+iPNt3PoxwOkpxPABSwyBDIua1Wy0AqDxxm94SRp5JawFraOGwyTE8sDKmSo3eqh3+eCUxUzjA5kJAZnmWGGPkOYOlZ6S1a7+7t9oY6DzHkxtSJ17sg0JwhGGIvV6vJIIbo+n+PI8JZ8v77hdEvV7HLdyadqjt2isFRxyG6Pe6GI7GyBYOQ55DGie0UuV71dS2Bcgk5EneDE9snreGaMRt5uvXzPFplgDIpnZVH9qk/7zY0vF/4H8L5ibXuvm02o9/7BVwzvHo8dPmZLaFuyFEFYcmAueajettKOtHsJ1m0ZRn3vKx3T48wMMHd8s2Mcbx1rvvIU2XeyioGqSgAliNQisNvQuOcOels+1NqiCtMQtKId3r93Dn1iE67TZ++ytfa5z94AmtAG68ii2HheQWr3YyvHbA8ak7Ev1OiDgQaEUBooA7CXFR6pAEwkvOM0ShRChIdj4MKB1TOMnxugCWF7kCfPjDAxkaDAunqvn0bIrhLMcwUXj3wuCLj3L8r29lEJzXhMC2uE7O8elPfQJ5nmMwHDtA3/xYnvB33XZ463U76Pe66PW6iMIAQRDgG996F0mSLF1dRlGIlx7cQ5YXyLIcp2fnrmHXasbW5u9FFEW4f+8OAinx/pNnSLOskadklyvgTYyAYJUK25wrsV17fdqyDyXXxzrOGLqdNvb3+ojiCO+9/6RxscayVVsCklYrxt3bt6GNQpZlODm92OIo8yRaKUVZQ+zSNez4cTMwko7/7V/7aEvHWywvrkfhGIPhaAzOudP7qDrXXr+HVhxhMBzDWKqoerDfR5KmGI2nbnKk7WliYqXew1UWBAGikNjShSpWTvQA0Gm3IIQoMwB8x7hJjEi1EIZ0jY7MuC5TxVpbTrTL3YWLOzRrRx2EXMersAuPhE+VHk0mZQiv2+2g1+lgNB4jL4qVoJKuY8X92/FjNGAoNHCaSrAhoK3Fp+8pmNi6mJOY07ywtppKrGVgjMivJFVOaq8AoBgcqCJZceN80nWyK7OUUQEBFBpObA3otgK0IoE4sohCidu9AP/lm1OMUoPZliDTWoPBcATt0vCbyVrX97ewltU0fq73IAqlypTZxFUuLorcva+Xj621LsO7cyHZTcWzFiwIJKQUCGSANMvmy1OsObQfD/OiwHgydZwwtbrfLu5/zfu30QrZ8Ru6nTYVtvMCcB4VLxjnDDII0GlTFs3IKdpuzNoFAW52SV+EAGYUhuj3OtDGYDyZbpVd2GT7ZaDFaIMkSaC0usbitj4uWCi1THH7UmxtTUM3OXPzkOQLDUguWc0zq5XG6dkFGGMwdl5y93B/D4f7e8gyEhjiDHh4/y7OL4aYTGa4nMzYXH46CgP0ul1EUUD54UkFSOrZK4wxdLsdhGGAoQNGz0OufpYkSLOsFE4jHYv1mT4bzgfNzC4f6HYV8ljHlL90TkvZO3lRUP0Ya7HX6+Lh/Xt4732DyXS2NjV79WmW/XI5Bs0Zq/XP9Y22AAa5xEwZnM0M7nUUhQYcvjSyCt8YLykPCtMA2m1rwbgL5aB+r0gUjYG+IJVN1x5GlXKE4x5pB1DakUAoOW73GT52x+L7P27w+CzBu+cGqbJbyX9ba3F8cuo+L1nBNTvK3PNfx+m4yvI8L3kf1XfFymNprXExGLrzzbfpOhYGAeI4QqfdxsVgiLxeIPQKsGNBafOD4ZDCkrkisa1VTdrhKnmTd5ozKvh5sN/HbJZgOkvW1gUjXacQtw/3YazFZDqDtRqN6G3lNS6wWxaeayuO0W230O91cXJ2QToh1yStr7LFPsUZg1IKo/EESl8/o2bVedy3V+y1giN0xaab2EcLkCzYKjT57OgE5+cDUuR08uXvvPeYtA0ArA/FMBKwacVgjONiMChdXwCQpFTivNVqoVBqaaqZj2tP3GolL4qNXNLXMaofoSvwYz+Y/INup412m7gGs1mCyXR2xR7NLIrC8vlcXAznPE/rbK6YngVOzy5oJdRQGr+p3bl1AO6yXy4uBmi3W/jEx17D+0+fYjKZNZbBzw3DIBf4f389w92OwqfuFPj4bYNeS0DFEtpYBFLASFuKpBkLaGtQaA5tgECSkJq1AoJbaM1gpCVRK8FhDcEn4aRerQUKpaGcQq8QHHvtEP12iLSg72Np8D//6Tv46rMU/+nrY/zG4wLTfPMetsswJ+cM3/HtbyBJMhydnGI2m20kHe/7htZVm9bhGmvtjYRpvXy4cd6Ojcx5xvLM54Rfry1+HIxjKlNxMRjuZLKkEK527wIR3teZcarAR8dnlGWm1M4XT5krJXE+HCLP1xSzuwEz1sI4kbT6PPI8szOfp73YgGTlyn19jyQAQBOydqGDWZI04khY61x7LtbImc9aoP2MMSisBcuyK+XRfTuUNtfKWFloYbOtmi3Ir22r4I52aaFSymr1uqPwiy937xnx2xzWx4eZa+uubpTS2pFJKRRC6dMpjPF6IOuNMYYoDEhTRmtMlABPLKIBgxAat3KLBwBgGbSx8K+4U4MAZREBnGtYUG0XzhisAAAGpp1EPTMAo5ol5F2hflxog0JRPaJ2JBGF0qnDoix3f38vQmGAWaahkeLJsMB7ZxkMBBpd5I7NWiBNc1KOvcZjZIzk6wUXyIt8J/VwNjFSv1WO2Lg4KW7QlpWbrl4Be6JuFIXIC/LK+ffMc8Hm9tvyMVcVaFPkBXlxgiBw8vP8kiKptQZaaaTWhfY2eSQNQxNKKRiXCLEqTHdppx3bskXtyrPf2Du2/rr9+xHHEbKc6pyV3MCGz+XFBiSXrNlVa60vhUfWcT3mzmArgSZfG4PVVtc+LtckV32dK3I723CA/CBcI86ooJVGp0Wl27dRjV1mVF+nXh9om5fTuiyE3btlp7MEQSCcwBzdhydHR6Wnbp15Emqv10VREK+hsAGGChieW0wLhYc9jU5gYQwQBy6bygoYQ6EYC16CX22sA9e+zge5QoxlxDkRxHD1g4qxFrkypTfk7n4bUUDS9JFkzrNCEvTfFnA83A9wqzPG77w/xdH5BBkYgZLnbD4EZO0yYnpzk5I0Z+IowmA4grJqt9VXrzA/bu2yftO8rUYTnHNEUYjDg32MRhPkRQFjbElOvxSbs0sPc3ULLBVOLDMmGUOrTSqmUghkWQZdu+fkQVCAVjdDvrVAkRcbXsuWF78jWyVsedMmXfXr24cHuBgMMZ0lUBuOoR8xQELm06TiKIKFRTJLdjpwaE2EWcbmCxv9vlXmn0Gn03IpsaO5++QnYOXSJ6/zfOIoJNllKTEcjsndO0svkZmXmZSCSpG3YqRpViNR3oyRVHjh0i8NoAGtZ2jCU/I8j36/hyRJXdp65X9/MpUY5RrjNMX3vGRxtyuhLYmlhVJAW6ocLAWHseTu1q6keSA4Qve94AzGclhLZFcpOYpCo9AG07SAcpLhnTiA4L6yK8C5q5vDGEIhEEqJP/Qxhk/cbeGPvN7F//LlIb51WuCb5zd2e9fcu8qruW3EgjEqD7C/18NwE3XBD4FxztGKI8epsw3S9+eNJjdKpdZaQynlVsAGgZS4fesAE1d9uyn5XzqPy3SW0DhQ208IgSgMqV5LFEEphWmWbTxOBFKWsg1FoW48E24XRpXNA7RaMZKEMqE+iHIHQgjEcYQoCjEaTVYSeX3fisIQQggkSYo8304c8gUHJKvZlowxRFFImgF5QW63a0409YdxU6SmFWe+4ndf5rsabMvwU8NL5o7dvqzSZNWK5vfP61gEUoILSo1dPPbynHpsNFt44COlhJQScDH2pt4Nr0EShSEx+nOGZU3alVl7md2+SezdGJLtz/N8IcTIUBhgkjM8s8C7FxqZsnh5n/qAsS5MBDgCrKe+chQu+wYWYFxXpeRREcIz5xVRmpRfo4A7MEI9jhRfLZysKxij7/bbAVoBRzfieDIo0A4zGCgcTTQm2fPhTTHGSD8CgC/IuynoZIzBaI28KEjMzKwOx34Y4/uMMQgpXCr0Vdd++XdfyDRJ01Ku3FryRhprIaUkT8mqw5SZXOTVEE4BOggCcJbObetLVLRbMeI4QppmKIpiLZGYTnf5tziOKISQ5bRAcdtc5U3hTjzSXzsAx/1qOK6ypv1ruTdKSokoDEkrZEl/Eo7YZfTqelLXDetQRheJe67bOpASvW63XGTmReEAVP38ze7HCw5IVhmpiLZbMYQQUFpjOp3BrEDHH6yHo+G512zGOKqO4zpaludVutwV5gsNxlHkBhxCwrtIx5VSloDBFoXjNTQ/ytVGGgter2BzVymFLOI4RJ7nyAUnIa4d29ZCdgvqoEopPH7ybOVxc8txksW4eC/DrVaBz72hoLRBS0sXnxfQTjBQWlJgJaJkVZgvkBXIYQbIlYZSRGQ1FrjVj7DXiRz4dVk9jDwI3NrybyEswCTCgCMKBf7sZzjOxgVef3uMf/flKd48eV6ABIjC0Hnktnu2vmhlPhiWGTTrtn0etgnwYaya6LYhn/pwUbpAuhaSJOnBPNhedmwCrnEUlTICUkpIISGdMN8cYZNTBuLBXh/tVoyvvfkt5Eotlye44hbs7/dxsNfH+0+PwIp5guy6+mVBQADLgjI2ATj+TNFsXF0WtVncZSnBjTS0yDMUwo5x6Z4KQZ46zjmSJF27iFzZvCu294s0KUWpA7NsH88ZeXDvDh4/O8J0ml7qI5vYRwKQ+IqkAJybnl6g45MzctXtoADRB2pX9DXOGMJAot/roRXHaLdbOD49w3A4onozS8wjbIAATRgGODzcx8XFEEmalgX4tm6yG3jOzi9K9dObIAFaazCdJUiSlFaxG4IJpTV0avDs6MQNuh+ufkKTPQPjlfJoqQLq0m+XmUaA89zi//MWwyf2Fe53FT5+x6IdSkQhSdsHQkAKiyjgMNyHzSy04a4MA60olTbIFVVuvd1vgTMOpS3pkzAvKOUbCwg3AWlmEQEIBIfgRBAOpMD/IDg+dreNRxc5/q//9RyDxCK5QU+6MRbnF0NU3rMP1zN+Hqa1xmQydVyt3R03y3IUeYFZkqwEe4IzyEDi1uE+CqVwfjFEmqZIAUynDMXifpZAgJduL9S2Vb2Bo5NTnJ0PSn0hL2RIgnkrAAmnsKiQAtPpzIV9JB7ev4tnxyeuL11tXmiN3pclBVyXUk0spZlrhels5sj11X4UHonR7XbAGJw+zu7HVWMMprMZkoS7cXX5/deaZBG+8dY7Lhvpeu/WRwOQCOG4ABLTZOZ4HZibVBeJPs9nFdPgHDtohrU+ndeUioa2ls57ufS081xwDsY5ZQxYu3kNlis5D9YRd2/2Xmutsa1Pw7vdl5UlX9VHmtY02YXrngsOKSSCQDqvl0UUhrCgap/pCs6LZVQx+GgKxJy8GwddBm0NDGiS8J5nqrXHAVgoVhGCrQv1aE3VfaVgpZiaNqRl4oOEZejGhepg6TvmhNaITCsptAhgvy1w2BH40v0I75wrnEw0RtnNcnc+arbJGEZjxGrUt21fNYb6E9ZwHKxrgLGmBNXrhMV84kCSpI48uyaz5Qr9lSzNkYHebRlI4poJjqJQ0GsWXcZaMDemUmba6mKNq8I/gQzKuWk2S5bzQJZclnGhMOW77JLD08KL1ULAuzcCmKufa13BfFeyDR8JQNJqxeh22tjr9/DOo8dLiyJ9lI3QLIkIeVsHLCyAXreNKIoQRRHef/IU0+kM04ad6vmCug+n+THipu9AHMXotFvY6/dwfjHAxXCEw8N9SkfWGkfHp1cS3t4dCxylHKwd4+V2hrutFMaEiEOJOLSwViAQFjZwkIJRNg1AQLfQBlJwqhosmFP9BODk5zkYhHErQkcjcKKusNyFcUD6JqGhFWpWaIRS4H/+M3fxH78+xJfeneE/v1O4FOPKKJYPNyH83u1vL7IZY5DlBu8/fnb1xiCv53gywXgy2Wk7uu02+r0uGGOlKrO3EpA54FHK/dfsYrjaM7JsTOz1u2i3Wui0Yjx6/BST6YxS7LH92GkMqQBPptPFFmx1vJuyTQpR1u0jAUhmswR5TtV4s2yR7FeZlAJ379wu5YivigVfbbvzJjQ/zG4ONJpMIWZpuVpYOMlSYwxot1totWLEUYSj4zPHjv9wg79dAifOOYIgwJ1bB4AFjk/PqNDaknN02i20223Aks7NNqsIX29klqQlkfX8/AJAlSVztTHkyuLNoxTHocJBaPBHXinQ0ZZCLxbQkkI2FaHVZfUwQDCGOBCIAokk1wgl1dSxzEJyIreCcxjmagg7/RcfxmGMQTIGZiwYs4hDAhqBO9cfeb2Plw8j3O3P8GjE8GTCcTHNEUUR+t0u7t+7g4vhEF9781sb37+btQ/XJHAd2wXH6YOxZjwzgOYJGutcOQy3a6/bwb27t3F+QRV+ZxtwIBhjeHD3DqXEFwWGw1H5To5dhfQLwWGsRb/Xxa2DfZxdDDCdzZqHN1ZdImuy0dKNd2Kr+gznHLdvHbjCskNkWY7skm7OcnuhAYl3n+VFgUIppFm21oXl2dvcvUTrtS9eXLCx5MCXLMvy0r1uLrHGV78BgnOEkghXlNmDG3MZLrMyffMSb+g5EQmBOYIec+1YTvgSCAMJrzey3Na3W7l6Hj4GDljMnMbNYo2XKIwAoMaZqn4zFjifKsxSg5G0eG1fYV8BvRYgBYOxglzpNYE2Bl8rRJbPOnfxfiMApkBuEHBSOHGFhhkHoREHaBgYwEiKnppEREbBKczz8iHDQUciKwx6ZwzROclly0gijiP0+126fzt6xEJWonmrKl1fsqXj+e76HGPkOZKBRJ4vhinmTx4EskyVf16eYClI1M6HW7xt895dF8QIwRHIYC5zUgoBi1UKubSNNgbMvRv1+yuEQCuOXabQhuJ5DAijsMw24oIDTjAOQJkiHUUhwoik/30V+nXjfSNNleZYbNONr2V+no0c8XYTjakXutrvK5/5Y+BiM0xVipkBV8gvf7QBybY7cM7LrByfhvc8uxCROjkO9/cRBBKMAU+enTzXNvgXDsBawrS/VxS/X0Wm3F27v+vTnwJjDO89foLJdLZC4prAp7QJXtsXeOOWwCfvRYhDqhIcSTeAAGhHApEU6LVCIqYKIk+HkrwbsVNplYI7gixxTLhLB+ZOo6RW4g+A5zsREC60RqEtCmUwTnJMUoWLSY5/8b8e4d0h8HhCqYdK68bihVfZ/bt3EIaUkfbs+HQpf+iS3bAjoNWKsb/XxysP7+PNb71TFudbPLmUEq+9/BCzNEWSJBiOxs9lQfDw3l0IwZFmOQaj0bWk8a8LSG4fHuBjr76Mx0+flYqgd+/ehjEG7z16spKfcrC/h71+D1meYzKdYTymkJAQ1McKpRtWNK9fDNUYsgCsMWWtodu3DmGNKcMzsyRFlmUYDIfledYfdkcdbqPD7OacnPNSKTsvaI4wWuHR7/7nj3a131bcQrfbIWEdrRql9JXVWdkG8kgfVsCx1eGuTveSMkCv2ynr8tQHH//CLuow0Cojwv7+Hs7PL5DlBa4qFrh9HJVe8EDJxkrk7XaL2PXWIk3Ta7HBKYOoKNuy6p5aa6A1eewWvRnzG27dlDk7PjkD46xaYS89LvV7jRAnM4bcMpylCvsxcLsN3O1LtEKBdiRLUmuhaGAVlsFCw1hGoR4wVzPHum0pO0dKSsEWlgHOs8KYl663JdeEWSLfMkbfGRNAcI5AcPzZzxzgq89y/Pf3M7x1lqModucJmM5mSDMBzlnzgpY3POlrpTGbzvD06IQ4cHP9szq5tQajyQR5XiAv8kuaNlfbdpPOLE3B3QRzXa/Mdb0qSZrh2TEVXwwCIo5OxpNycXD71iHCQOJ8METuxiE/OU6mM2QLlZJJkr+4VOV3TWtqF+PJn/QOKKXLiuooEwssVWcuVCMwQnusb0cTwBIEkrS4nCjcUkB/A2Efawz8jLHps36hAUkYSnQ6bcpRzyyWM4Lnb0iZfbLkPvkqvOVEu8Ug9MGCjsrFW13LZiXYfX2Kbrddsr0XV0PLBM0E54iiCAd7fUzGUyrCdkOqiNbasuBV09VWFAalBkPu9r1szKWx8vLd81kBi/dvjmC5CmdcU8ulqXkF0uFoDDAnj76WAMpgmcSoAEaFxcVM41bLYtaj6jb7HYs4ECVHJdcallFNGwrRcRgBcKbLd4V5xr9wHhZ/CxnAQX/Aqu8YYxCWjsVA3BIq8scQSI4/9FoPUTDDJNM4HlPqY2adxH15FVU/N6Z5hliSpqXkualllt2I9HhD09ogSTJSE81XpMg7ci/xD3yK+hXj1JK00m0sTTMwBlfP5Wb7NAPAXH0cP6HVsySzPMP5xQC9XqcMCUynsxKI93tdtFsxJrMZlKrKhBSFAmyCzHGxvK1Ln19ui2NB5cnSWhOPUZs6jCR5gbrnpn6ILbrdOg0VgBaWYRCgFcflL0sBSWMMwtxCgsMYvTCnzF+A9xZtYy80IEmzHJPJFEbraxMZBBfotFvodTsYjEbI8+JGKnY+DxOCo9/rIooiDEdjJ1fe7Fq01siLvCSANR18CqUwmUzw/hNDXJ4bjm17bkVTS9IMUuqyhswyk5JqzBwe7FFojzEMRmOkada4Cu/zNsGpts2De3fw5OgYSZJu3G8nSmA6Bt6fAO8NM7y6r/H9H2NlJkynFSCUFoFgsFZCckoR18YiVxS+IQVXgcCRYwXn0IIjsNyLt0I4pmtds0QyBsMYOLcQHAgkR2gsJGf43o9JvHGvje98OMLXnqX4L29NcTwBcjf+R65kQKsVYzSeNH5GH0b5cC88tjaMbAGjDWbTzWTfd2FUpuDmTUqJMJA42N/HZDotZeW9UUowJSUQr4myvtI0hTUWgZRVvZ/6msGSvsc15ZWuMOs8ygXS2iTNGMP+Xh9SSsySBFmW3ZjSN5HuJW4fHpT3yhcqvI4FgUS/28HB/h6eHB0jy1Yt6q5nLzQg0S77oCpMtn0IhsqL06pecAHBDQqsf4gfDm9IZd670et1EccRBBclgXcTM9pgOp2VqH7p2RcBoLUolHb59s2BDEAx2DAMSBvAVdVsaowx9HtdlzlVlC8eYwytuFKGLCt2KrVSidVa0vZgjJHb0RH4jKXwB+MMgZRoxTGSNG0spMY5JyXdQCJxKen1+8c5RxyFAGj1N18ccL1Z2DILpyzwuKxvgCEKw3KVnef53FYWFJ65yATsEDDvpHh5X+KgLfAAgA5NqfAaSA7pVCytq3nDmCaSpRWkcyNq4TyPQLgXrGfgsKV3izELDlp9ARaMGdhQOHVRhk/db6PfkjjsSHzh7RmejRSejk2pc7IrHtN13mfpiJHajSO7L5y53DrtVslRWgoaml7SlcPE8yFFEmYl/hGwvqwCyarjUkp47gjg5DHRc96Vm7Zer1vqGlEGIio+FXdS75fGziUH2rKpPjwKkEdomviF5ZbgwbVNcPJCpmkGfSnstLsLeKEBidIKJluxKtpwbCFZbo0sL9wLcZkd/MEAkObn5IxBSoFet0ud33WaTbuGsVUmR9mKNQO+z7RZVkW5iQVBgG6nXaa2bgJIOGfY63cpXS9Bmc7HGUO73YK15ApPswzKGGBxBbqwiqIJxTj+h4ZSGsaFp7gjs/Z7Xaet0EyZUAiqlNppt1AUioBObZDkjKHdoiKESlMKsWmYSk0cD4XxZLI2Y4RxhjiO3D4UtlpmYyUxHms8Hmb47sLgpT2JdkDcG22smwAAK6vn7sOg2tDEwAAYw0tQZQQDYwIWAOcUvmG19Cw/iFrGABgwStMp6yu9fofhwX6IN+5GSHONSAJns6LM2lFKN75fN2VUSLLtpMVd3ZUr3OrXNcYYOm0KrdLYdY3CkKt28xlXjbSHrjjIBm3xJPB1gGTRm+TJ2GmWo1AKeVHMvZ+LwGQDFuH8eVbsR4ujDnkPtYbWCrDW9W8/xygXTr0iZrN4goa3kDkiuTYGWZFjOlsuNbBpH2RgUEqTemx5DevauF0/fKEBya4ty3PkRYEgkAiCAAf7+xhPxs1TAz9g047vkWZpOSjOkuTG2k7uVUplm0wmW8eXjTWVnsaGqxhjLCbTGWXfuOJdFjShd9stcC7QigtMJhNkWY5kjevZaINck4w8/JFqaeSeU+Fd/k1XXNZaBIFEu93GcDwhD42pfrOgVFQva603GCysJcIcpcWuhszMAbTCeZLW52tzGN7C754Cbw0s3j6b4rsfhrjfl+i1A7RCiTAQiAOBQBAJ1VhAaYNCE9FVCo5IckSRgNAcWlBIR3AGKRisJcDhFWP9rRScyLBeSE1K0jmJQ4FWJPE//eE7OB7l+K1HU/y/fmeCd8/rKdAfnHmA6m3t4oWRV6zX6UBpAhJqS5d6XhQEEm+IqyQ4VeS9c+sQSmucrNHd2YUVSkFpheSoWdXgunmF1/OLAckZrJKGZ0AURYijGEnieCZLgA/nHO1W7GraWCRJhjiKEEiJ8XQyV+mdFoMSWjuvqlMLtyDezfn5AGCrJdiva4wx9Lqdsl7T8cnpTivcJ2kGxqh/3+S79uIDkh3eG+smIGOo7kYYSkeEtFANhV02b9tuH66xhsImaoFEters1+lcLgU3jiPijYDkqf2qX0hBq9crXkKlFJIkpRCRIuGi5m0A1bFx1+LJyBYW48kU0hUc9AX+0CB1dFV7/QpnOkvc6uuyJ2fZxOBdnUM+LjMB6kRKYwxmSeI8JHrjgYQ5zxhlkNml+/uaP75CayBlGV5YckAAQGGAWQEczRi+dW4wyRXeuOPk5L0nxAM2xmAc0GDQFRmYAVJW7TGuhpLgHNbrljACINwzXkGaJcy6TByXtcMYw0GHgEquDCY5w1unOb707gSzAlgaln9OPFVdC5lcmdLpAEmn3SoXQcAWoMISt6P0VLn/dknO9YXcDg/2kGY5jk/OytdTCgmvoLeWE9G48i0Zed1IGp0xCpMaa+YAwPr918upkz5QgHY7htYKjBWwLnuovh9nFObUrnq4lJRJGIaBU5Gte8+pD8xmszL8X28raT2talQDZuk6fMspVN9pt5Gm2UqANX/G9edc1oeuvPdrHWTN+sCLDUi29k6u39EPKEEgIaWANvryYPcBgI0mZgxNxMvasmtg6zVB4ihEJoG60gAAm91JREFUGEgYTbwbn4feasWYJQmKYnmmijdPBKs1lWzxnViyO61cloTtLHB2PiDPRKvlKlde7yUFaEW6Xr/msmljMJnNMFniPvUgeDRuKJO9pIlC0qThOThmcbXtVovD0YieDadnk+cF0ivKqReW4TQJkBxrPBsr3OkQmVWFNBlFRsBIOoe0DIZXtW6U02EIjAOJFpDGwlqOUAIAh3WE14rrRO6SMivHMEAwCEZEVwYgEALtQOAT99p45zTDo9MERxODiV7yBHf9Cq7ok0YbJLOmxGfiE3Q6bSL5TqZbxQ8s7FIi7+XaVYtZEFefyO/j0/kPD/apYrobGzmjarAAgd21gGST66o11WePtVsxCicOuAsyqBASURih02pBFYVbCFwODzHOEEUhkjSldHYhEMdRyU2zZv5Oaq2bv8cb2fobyJkgqYZOh0jPSbJ8tw1w6k7DjauH/svHf6GF0b7zf7OxMBrQ7IXkjIELUZKiLt2lDykg8eZ5MGEgS1LnTTxpL/7lVy8EUgQ6nRZeffkhnj07wXg6RbYJS9/6Y5MbFBZlnHzbNvpV5LrV6/NI0b22LWli7PRfOGPIshxnTlrem3ThIGttKX3/+qsv4/xigKOT00b3lUIoQCcAPr6v8bBr8cn7LXQiiVYk0Y4kQkn1bkIXmhEunBMIjigQiEJBoRwX6hGcthe8Ct94QqNjLFThMkdcVIaqD2dKIysMZpnCuycJ/tObI3z5SYIvvV/cSD/3xjl523yq8VZ9knmvloR1BTFv1A0uJJi7t6ph5XP/BLwqchgGTsOH3mMpBQ729wBLGVeD0bgs2JnleSkKtrHV5rswDBBHEe7duY1pkmA0niB1iw/qJ8JVA97Me+29LlEU4aUH95CkKZ4dn5RCj/WmCCHmvBvcZd8tLkq8WOS1+sXWxsr+ZJw3Z2l32oHjbFvvm9EKj778Xz7awmirbBcTi7EWVlf55etHuec/kV01gPmBvdNuI80ypMCO05jp/MboSwxuWjEpTKczFKompLThbeKMVv6Al2Bulu64+PxXZdU8F9tl16gx6P1kTcROizzLwRmDUperK1OGT0DPxYXFSCAqX+u5WrwMZYBhBjydAEpbhEGOe32LWwA4g5Ofp+19Fo7z6JdpvsZ6zRJACk9lcWAEnGTnDVz4prpe7v4nANBG5HVhkHj1VozPPFSIJEdSzPBsVOBipmDAt7/XK4xW1yGiKESeFxhPpguEz7V+azLr+A67ysS5Yo4Iw4Dk8gHMjEYTGkMp6WUteT6Ty1pEnhhtDC1C4jhEIAMURQG9lqO07lKqchTWWGilkWUZOGPottso8oLI5aET/FKqFClscnTfdqU1kGWYzmYluCDQbuaI2osEe7MC/AjnPRFcoFAKWieXsr9uLsvHOv7MMqL6fL9baw2atwvBtnX2QgMSHzO95kGWGuNVvRRrLVQ5qT0f8LGLFRPnArduHWA8nlQM72t5dhqwwVFpJbw9fbRBay+bkBQXFYIjzwviQDxP8LfTU+3geTIS8+JOe8EYU4YUh8PhyrhxHEdot2JYazEcTTBNZnj73fe2bsezqcDJjOFskuAzDzQCTgNirA10aKFd9eDQLSwFd6XnrYXSwsnGk/CaNQaB5CW3hFsLyyktgTFW8g8YY07HBOAWkEyCM00eGM7wP3yij+942MbdLsd/+PoQX3q3QGoplXqXFkiJbqeNw4N9jMYTTKZTBIGrA6TNGlL3TfRbdvWhGdDttBCGIbQ2yPMCqljGG9rszEprDEZjAORN7nTaJDcQRRS2aCBUt2zyEk6wTjsvA6WsGhzs7+HWwT4mkymCMMB+v+cUm5Orq5SXp6lxOoxGbgwePX7qauNIBFLAQpTZgpsMwWEQYK/XQxgEpPuR50sFJdc280YAy/XG8lWbrj7b8oM0Hbdf6JDNy9/5R7cK2czZiquXUiCOIty5fQilFJ4+O4E2zbJtyjTGK8hV3rw7fS7FuIkHhLG1cseMUQzUaOMyYJoyvFf3TL6o+3CN3rMqldDfDx9DZqDrbL4Sumycc8AuJ3yutA8ZIInjGO1WjLu3b2E0nuD49AwP7lGl0cmESpIvS0MWQhCJFKhp9lzXLAJm0BYa3cDgD70a425P4m5XotOSiKRAFNLfUrCy5o3kHGEgyvBOHAhI6b+nMI7gHFKwksgqSs9QpbJMq1cCAIU2yAuDrNA4GWc4GmZ4OsjwS//9HO8PDY4mu3uQPhNKSknLIWPxyssPobXGs6NjpwL6vIbUZjOFlNKVvberMwbXHKpJKfmyfokrXdBonJwTDyOwd/fOLcRxjKfPjkvOiCfISyGR5Tm6nTZu3zqAUhqzJMHp2cWas6y/tlYrRq/bwZ3DQ1gQSfj0/ALTaVISvutqwKvMaw3duXUAzjllJJ1dzHPjrrofGwKSJnPAmr0bXZfb9NpmtML7X/78782QzZxt6RHw2Tabiq75GHMrJiJWmq5OX/Opqu0WCSoZbZDlWSMQI4VAu90iAZ4VdXxsLeZb+7bRdSxu6j1GXmshy/JrTWxSEmFYCkHHc+5fH9ttpFzZ0BhjaLdiAIxUEq+UVl+0Dwdm90DQpxH3e12SP3dpmKv6zbb6MOuNobACw8xgkgGPBga5VlDKOCE1W4ZsjK1CJz7zhj7DTZSAFRSmscIdnVWEV+sZn35gZDSVCV9tmtHxOQduI0Q75DjsSHzrOEEnVggDhSdDhWuULyrNa2MUypG3nTJomVXxXLtKs5OptUB+vZdFuIWZHwsvCb653Y0xyDccD+ZWzZY5wGxKMUKfOaSthSmqSr6FUkicQFcjAbo1K38vquYrhlPZBRrvGWMusUFSuKuUULg8Q/u0b1KELmORm92PNdsvghUhREmyTdOsLGLXxHzWYeTC4bOZv64VxJMdhHqa2kffQ3KtEMXmFoZUP+Bjr76M0XiCx0+foSiWE+2stYjCEB979SU3yWd4enTSqB/v9Xv4+Guv4Pj0DJPpjOqYNLLtAIkHCp9643WcD4Y4PjmrdeTNrd/rot/rotvt4vziAkcnVCyr1+vi3p3bpKEyS3B6fr7V8b35l+8TH3sVjDEcHZ9iMpluSIT7cL0irVaM24eHeHDvLr7x1tuYzZI5DYznav75M6AfaNyOFf7ExyPsdyR6rRDdOEAgSbMkCsgTIgRDIASEYIgC8pgEQqDlSK+ScwQBkV0lr6oHi4pY4k5JAEBZp7RsLfJck8dEGYxmGd4+TfC1pwn+L/95iHH2wYqnfTht/WzS63Zw784dFIrex5OzhffxOaVV32idoRo3qz6eBVLi8HAf3U4bAPDW2++5keA5XXS9iQuApNtpo9Nu4+GDe3j/yTOcnV80XiBKKdHttnHvzm1YC7z1zntrJCIaXGuDTX5PeEj2+j0cHh7i/GJA+fwZoWWf53/3zi1wzjEYjJBm2c5XiUII3Ll9C1pTbYWhK8ttzAzvvPd+WW9lnQu3UAqPnx6XHpmm8/tsluDt9953NQXqk2uDA2wxvyqtYdIUb739HnJV1AiRi4dudvBZkiBXBYbj8dwqJ0lSPDs+JhGyq5jqTS7VWmir8eTpERiANM+dpszNgoxASuzv9dHpdHB0coJASsRRBAvyWi1PzW5meU6ZNNPZrJT4b2pXAUghBNqtGLcPD3A+GJLoWrYa7LTiGK1WhFYcI08TnCQT/O6wi/1U41aQ4NVDi24koCMJrSk8EwVEfhXGrYoNUDip+UBw0lRxKeVaWIRCwHLSPxEcTrPEEUoY6ZcwMHDLwAI48TUivr5+m2O/FeBOL8ZvvT/Dv//aCOczA7UBNvGg9v7d28gLEhuczdKNwThnDIcHB2U49/ziYqfiVXULgwCddht3bh/i6dExkjRdkfmx/vxJmuLo+Hi1Zo2lDJOD/T3SJQFwdHJ6+d5ccw7fhDu2MXixy98LpTSGwzGmk5nfrNrhihZsa4wxvPTwPozWmM4SjCfTS6UmABIqK5RCmmVIamUjmpjWVOLjydOjMoy7ui83IJZsiWOW2QsNSISgQkKCc6rQWt4ZlwYlJITgpQz8OqNaA6IkUDYRFPP1UrSWEKLAcMRKl67PR7dXSFobYzCdzRrGD6s2FUrROWxV4nphk62NsZroESg7R0pBZb6dlga5MwNKcXOAiDOKo1rH1VgHAEmRUSNnuUuro++NITesFKKhNsPVF2ytJeIbq8Ie3oJAgjNeqk/uymFIkxhlt3gyqpACsADny93MTc+ttUGSpkizrKpfs0W7KWWbYiTeJe/BfBAGjd4bIcn12+t1MTAGyXiGo5nALDeYcYM4KJArU45PobVwUiUwlsirvr9Qpg5gQDokTvECnBlSbxUczAIczHmSyX3O4DzkAAERBjBtEQcSvMMQhxwHbQnGLB6dpXjnLMckMxhnBsan/zQwGVBaJWcEmgDiODUOX3KOdptCh1pruvYV+12X4Oj5V2EYNnuOnIMLAYCyajxBWiuFmTE14LS8n0kh3D3Bku0auP2XXsQW+6BZJoiUAoGUyIuiVtF74Tguey33967pNTQSglt9caGUUIyBC75SuLoMaedFYzBS9wIVhSr5RNuNeVfsYxca3vAULzQgGQzGmCU5qVMulJNWSuHp0THFqK+YHAFa6fV7Pezt9fDeoydleft1ZlyVySiKHEdh/remtl2nsNsXTLrCpJS4c/sWrVCNwfHxKe7duY39vT4ePX5aVpSMohCT6QznFwMAqCSmlUKa5+X3K6/AXi77HcoQ/V4XB/v7SNIU773/eCfX5Avk1U0Ijnt3bqPVinF0fFrGYndhhVI4PT/HxWBA9yNjmExnzUhkV9iugFO308ZevwfGWPkcldKYTKdIH2WNVHYZXJZFu+UKK2ocXUzwzFoYzfB0lOHlPYY/+LJGX4eIAgFtrase7GvkULVgrQ1CaRBIKq4nDYeRAtYYCMEhYQFXPdhauGqvVUMYqJAfYxyCkaIr6aJwBFzg+18X+I77MT7/1RN85ckMv/pmigThlVL9fvx48vQY1hLXa3+/j06njb1+H9/41tvLS7svsTAMy+rbNxktL4oCg+EI4+kMRXH1pNVzIVRjDMaTaRkCJg/W+n211jgfDEo+xlWLsA/apBS4dXiAe3dv49H7T5AkKdIVXsD1Cqs3Y4+fHpULunWq0fW/N7VdLr52aS80IPF6F6vIZFprGJ/TfsXN9+llUlDtBuOOvc6MMRiNJgjCrMwMuZ7N7x9FIdqtFjrtFo6Oz8rCa0s2XWlCcPS6XXQ7bZydDwDn/Wi3YmR5jsFw5A5XHdBYi7wo0As7CAJyq4/GE2R5TlwFBmQ5J9XSGndBKYXheFymQAohcOtgH1IInJ5fNJrgCqeRUQkebXZPO+12WYvo/OJibfE7Y2xZtj7PiysH3kULAgrL5DkpzU5nlU6Kf+E1my/QWGVfbd5XKLtDYG+vjyzLMZnOrhWGzLKcUsKBubCZcTWRlrWTMYa9fg9RFDp3ssV4THWMZkk6l15urcXJjCHVwKzI8QceWNzuCBhr0AopzdJAIDQWUhDYsJZUXi0sAs3pcyAgXOE+K62rLcLBrS0rqXovCYAyOwfMAIy78I6GEIAUDH/w1T760mJ6foEnsxyDQuJJ0cK6VWt1XXQ/EifRnSRZ4zo01piyT/pj+XDQwX4fWmuMJ7OdgBXjzmcagBEAyLIMY0ZjZraFPsp6SYFNrmUD3YwluzQxYy2msxmOT04xS1Nq+5KTbc1bWdFuxpmTrG9BCoHzwfBSOMZa6wqEbpgR2KRZG5Bmd3C2rfZ6wQGJXfuyNU27BSoXGE2kvCx/fdX5kzR1jPtNHmizRglODPdup4NTcQGtNwfrPvW32+1gOBqXoZZ2u+VassxVaciVaS0ko3TZWS1E4EWDtNFzE77Sek7GnXOOVquFMJC4GI7ctusvoKyia/RKd/bqayWQEEcRoijEYMChsb5/EBjhJVjaZCLw18dcSuWy4y8e7zoTDXMZXO12GwDDLEmwiEe8wnCTOkZKKczSy+8RgYnVoYQoCtFut8ijlBfIc/KI+edb50xNCoZUWUxzg9sdV8mYMRgLxIYqofo0XqpoY9xEXd0rzqggHzWAxNEIcKD0jMBV/oXjkzBGeibeg2NBoSLOGF691QKyBO/vaUhrETGDkYmQGgbtsj1WZVJ4IxDqsj0a9lNjq0KQxlRgJJASnXbb8VNSbCg8utSagF6f9imc7keSZFRBfQsP3u5SnbdAIRvuYq113Du9Njy/iY6KT8G1WH3vGcg704oiyECCucVgjWkAAFd4vm+GULtOOmJHZ2i01QsNSHZl1lon9DNCmqVQegWBa4lpY6BvKMMhTbOy8BoN9o1IFXOmlMbFYFgqElprkWTpWpKv1gaTyRRaawhOZeP1klXbIunUWjufhseA45MzGvC0buTKta6Ilt6imKG1wNQpkHqpa7bgoVi0olDYNkhT5AXOzs4JyN5QFc+6aW2Q2wKDwbD06NUtDCjD69atA5yenyNJ0rXqvNv0XWuduNo0KcOaV6XFKwuMco5ffZtjP7b43gc5XtlXOGgL9HWEIjQIJYcOjEsF59DWolAcuTBQxjj5eUmVhLmBkVRRWHAGyzi4K9JHSq50Xs4YIBi49bwojkAYaIS4txfjO+/30I1SjFKFT+cX+MJpjMdpgBThlffhKu/pKvMEYcYYDvb7iMIQYRhiPCEPZLFB+uZ1jTLnQhweHmA0GmM8maz1KH5UzKco7yo8C5D4YL/XJQ9Tli8lrVtLY6ZfGG5b4fmjbL+nAMlVL7rWGmmawy6s8rY40042M9aUE0+jyr0rDshdNUjGGIqCilRZm629RmMMsjQjzoN2qoubumQtUOQ5FGONReWua/4+aVN5PKy1CMMAgSTP0HA42slgZNxKazthos2NrssgSVKn1GpRv/eeYOyBgtdfYYzBWLO8COEWbSiKHFrzWp+86toJIWhjMVMc701DTPIMB7HCdzxgUEYiCogQGRgLLTkASXwN5y3RwhLh1VIdHL8SNY7EKnzoxodvUP2PMQrt+N8kNG61OL7z5T6mhYYFneONvsJeYPD21GBqAuQQyy5mS5tfaVprkRcU5tDaOM/I5t4JH54MpCwzMpqakAJBECAOQ0wFX0nuvMqarqJ73Y677qIMCW5jvlqvcJ7AZQUGa62rPq473RaOALv47ilV1g1bur0Lx6wEfY3aRxv56uW9TrusPt7rEiDy+ldXGWdU/6bf61IRVKURSEoEYYxhPJk+B8/JvH2kAMl1JwVrUQrkAPO1DVbs0eCg12rSnKjVtrLp3jVMrnxTZgKtO5y1FoXZLJ2YXMDz7lu1hadj1bF9u9Y9Z+0mbSycVgpJRej6PUyns50AkjLe23yPDbZlSxQy6dqzfPlg43lPaZqW3qs4jkoibZKkO8nC0kpDY3PuioVFroGnswAXOsV+UOB+X6CnLVqhgWCAcSm/nHFYwSgTB6zkldB12sq97bwf4AwkoEakV+7E08Codo7gzO3HwaERhgx7dzp482iCWa5hDfBaV2FPaowyA6sZjAvhwKUY17lqjC88m2X3dW7MXtyAEdlUaxRF4QQUzdzv889/cRKj3wIp0YojxHFMpRWueD/KY1oSZRRCVGrIW3r5moaGOu02CZ5N1yjGNjAhOOI4oiyZPL8CkKw6h1MqdVtc2ZYr5l/iXRXIffbKivNSir4uwz2+DVfyRRZ+FkIgCgLs9XtQiqp897odZHkB7lL1qz7DnHo4nyt6yFxywl6/5wo8ZuV9ZQxrpQmaPPP6Z86b1ZX6SAGS61in00YYSEgZ4PxigCgMcbC/h5HTyfjAhKd2YEpppFlG1SBviAHfiiOEYYh2u42z8/NmCoqNjx3TSi4KMRiN1upirLJCKbA0xXDEoY2+MpTzQRvnDPt7fWqnsbgYDNdjCUs1hDKdl3FxqsJMwOEqAPpczAKqIG2HISxOrMDbZ2N88o7Ea4cBvv1+C+2YBNKUtgiloDo30kJpysRRmkI1RWHKqsHaCASSuawa5gAJIASlCJdkV8nAAw6MNWA1wIBWINCLqDpxFHD0IoNuqPH+ZIbjlOPtrAcetcHCGOfng3Ki2ev3COQzhovBcIvqrnZtBWwpODqdDhHsjcHpoiBZdUspZd1pUVzVp/f3+giCALMZcVmSJMHZOaqS9Tdk3IVtldbOM3TNzmgt0izbumBoGEinoRMjzSpy/7aWFwUK1bzStPdetuIYMpA4Ol6i3bJuf9A7fTEYIs1y8oCmSTlX1QGsEMR1O9jr42IwRJ7nyAviPVoAo/GYwrtKIY5D0qxp4JFvYlEYotNpIwgE3vvdq7f/yACSa7PStYaVlW4J5fCTOyvPC0xmswW9gZv3jtAhrneQKAxdWXBBMvNKNWhXfQNWSrxzzpCskML37l4id/GyxsIqk642hefvLOOz+PP4kIhfaTW1MAjKlWwpQz+bXWt1drXt7rh+5W28d6BpJNDfN0MibOS12lmz5sxrmcRRWJYUaNo+bRm0kXg25SishUWK+3sB7vUkrCWviHFa8pI7qqn3wLl74b1x1nInhqZdPRzXV9zCjAFgxoAVGp4dbgEEgiGUHJ6hJVytJmUNYmnBRYIRDzBBgE67haJQzrvmi26u9qBKKSB4FSpd1se5oBowQgpXOqK6f4zBaYKsEjSrVvlunV9+v8y8B9NPZtqHNGd2qccwDIPyfWtan2aZedL0dJbA2Cr8vJh91tS0NjQJG3Mld8t7gKQgzREfTmEuhEccKI1LzNJLF7Hku0WpjQ1vD+eU9r4NH6kMTWtNoT5rMUtS9+/5/kI6NDSOGlMVgPRenSnIuxoGAQ729zCeTFFMrwdQraVsuLKGWENO5gsNSHaZS62URhCYctLzxaLiXkRueYZa2qo7544Bx2Ka2bXAiCW3chRFJX9k5Kr+zm10hTFWuYWllMicEM8lgqsxZTioBA5rnk0YBIijCNpn1fiw1FKwo2GML2fPGns3oiiEqF27UmrrFVVlN+hmWDi00XSf68JxGx3OcVxu0qQQCMMQ+3t7mEynm52PMUCEOEmA89RimmZIC42ABbAAlJYVuBKELMjzUz1/7QEJKHwDUGowwMlFbQHLKTwBrcHyBNDKITSL0BX4oyJ+DIE2YExCcI29UKMrErybhyhUAHQ7mCW+FpKBNli7kgyDoBTGszZZCkgEJ2G5EtDVAIk1FrnOV066XrH2MlBfPnt6MOc9FX48W+XNjKKI7hvgwgLb930vALnKNuEqaK2RNJ3gpEQUBlS3ZTqrJn93WE8krrVkxZGWAJXLUbjGZkGxRqUVrPJ161fcgyUHJtAxfw9miyDCewY5B6z34igHcG1JByiKAmEYIopC3DqgooV1CYPrmNeyapok8kIDkl1aoRTUZIrpbEakI2txcnqObrcNzjmikGpyaL1eCv46xjhpPKhClbLA1zJrURQFhIsVcs4aDSqcc3TaLTCX8pvmGRjniKIItw8PkGbZJUlxH8dM07QRydMYmmh7vS7a7qU4vxgu7bhlimXS7NjemCM6+hXCh81aUVRye6YLmiJGV2q/H2aTgUS73UK707pWWFNb4MksxOm7Cr/5eIbve0XhwV6Ihwchei2DUAqEAUccSAjDqP8YCksVWiNSFN7RoUSgLYQwCAMByRmE5YDKIYoMSGdAYQi9aOC77vcwmBX47ScjSMagBIfkBoFgaAUcgRTo5AlezhJ8cdhBmnNYKzCeTEq8vao/SiERyoB4A+t4aNaSl8SlABN41lc//zJtlzyY643u12g0BhqK8wm/wq15XRhjrqgjw3SWXFka44M27haXRtNCSUqJw/29Wor1zQrUrTJrLcaTydy/d21RGKIVR1DaeUJms5XP3W+rdSVHX7c4iiAD6p/D0aRR/zHGkBgkrkplruz3AQkAP1qQC4y+UZp4F2AUz/cDSiBlifg27URNPB5CCOdOtsAyPLLBKa0loJAzBmOaZkSQkfS+oIyj1JTgIwwCCrcogXzBU2Ftpbzqv/egIAxCAi1Gu+qaClnOEKTSlQAgqfJVcfD6sZtaURSUbcL5kkHzet6nXRhzQmdhGFLmjL6cRn0TdlU/9NLoXi9jecjAHctaV8uJ7vV1vHrKAtow5JrjnYFFohVyDbx6C+hEBsZKMDAEterB/rF6YqBXZpaWMgWsYLAWkKYAlKLCOcZStWdrEUnuiv5RPJ0xwIK8cRR2ZGDQkMzgQZJC6RADu14EkXGGKKDU4bxQKFSx8h56ETqlNaVt97puom+WVVcUCtZQivRKcm39fKi4REIIIu67kKC1FGYy2hDXI8/LkKe1piwrELqyArtaRa+zpu+AvxbBqQxEOWEyuk/+/gsH/JgLoTUn8jbwnDTt+jU9FG++ojAYW/DYLH9f614TTzPwobG6xk0UhlBJSmrmy7J73GGUUkjSFGfnF0iSdI4QC1A2l/e019d2YRi4/at76cO4nDHkeQ6D5srlv4cAyZresuQnozVSrefSp9rtFqIwhBfUUksGmetyPnxH8p/tlauP9b8XRXGpgzcxax0QAyM5cTXFLJnh3p3bbsKSbrv15/erkn6vi+ls5sTVNOl/FJQi12m30e20ITiH4byxe29Jq+f+tZ59v3K352YMNEC2WjFGo0mph3LdPnRd44Kj1W5BK4pP62z181DOkyemM2TF9cNDlgkoCHztDDiaaJyMFFqBhWrLMjyjDSduiQUEd3WTnD6JBRAagVD6ODmH5RYtk4OpAlYbJ2NKgyRzQ3sgOZi20Ny6NGFAcvpVciCUDN9eZMg18O7U9f0l7Weg97fX7yKZpcjyhLRF1mRdaG0QRSHiKMLhwT5Ozy6ahb4skDbt47V9vIVhgDAISi+HtRbtdou4ZrPZJaIrYyQYGYaBqx3mo7INCBY3bIGUCALpNF2mtTHElhM1gHJSJWmHXRCrtrj2hV0YIw8E5xwMwKiB18b3JwZ6HkEQlBwkYxQJYEqJMIowmSar+Xzu6yRJkSQpBoMFci8jcBOFAcCYW3SQcc7QbrfAwDCdzaAUgVovTik431hXp1kuTs1+7dd+DX/+z/95PHz4EIwx/NIv/dLc73/lr/yVMqbp/3z2s5+d2+b8/Bw/+qM/in6/j/39ffzVv/pXMZl8+N3TfrDpdtrlhLxLM8bg4mKAi+GI+B7XBCPbWBAEiCJa3Y2nU1zU2OfGWJycneN8MFyboz7XQksej7peQt2KQmE0HuPZ8Umj+kEfJUuSFIPhGE+eHn+osrikFOh1KcPjqn5eKKp+e3Z+QQUMnXmg1Wm3EEdXC40ts1HO8NaQ4//7Zo7Pv5PhbJziYpJhMM0xTRWmaYEkU8iVRl5oZIXGLFOYZgUmaYFZpqCTFHI2BR9PwaYpkCmorECRK+cssaByCgyhZAgFRyQ5YinQDgQ6oUA3kuiGEv2WxK1I456Ygq9SAK55EYTk4GK5im/dLCh9fJakOD07p1XlcxDa63e7uHP7FtqtFrqdDlVP39+nulxLnKm+VMfx8SmeHR+7yebDIaQWhgHCMLzEOQmDEJ12G61WC0FA2jYnZ2dUMuGGPJCM0TvU7bbR6bQbEHYZ2q0WwiDYfERnQBzH6HY6c/3M1yR6dnSMJEmgriFzYK3FxXCEi8EQo/EYxmjKSgtDtKIIYSDLiAFnDO04RhBIsC3KqWw8q06nU3z3d383fvzHfxw//MM/vHSbz372s/gX/+JflP+Oomju9x/90R/F06dP8Su/8isoigI/9mM/hp/4iZ/AL/7iL27anAVrePFb9kMSnaEQhDHm0kBD2SUcjGOO6eyRLxjmRXGWtGORIe0Jtl7+mlzkV0uwb2ucs5JzkuUZtJ6vUbEpKdS6lWjqMnwWQyd0PRarFSK3YXNuvssy894qewWbn4iz1bNr6uHQ1lII4UOGwYyxNXBoIYS4HEor+RN0vWZBb4YzhkAGKOU6tngm2mXanE4BwQ36pxr3+zn6sSCZ+chplnAGK6h6MIUY6D2JrIVlGoCC1lVVV+X6GncvpWAM+60A00wjU6ZsL2NASNRRGAsCKsKiLQ3YmmdG/T1bL4K1YD5EbGHX6lhcZZvUX+EufGHdPeRclKGb0i6BkkV9oksNWL7juna4TCRrzZLQajOj6snUgDqYU46f5kPCjLHymXhhNZ/BtysjrzCJt80Dy9VhH18AscyC3IAwq5RCXlNN9n1HGz0XKtyqNo9rR6nKzaqvjbUEnh2vz1rAMsqaLL/b8HQbA5LPfe5z+NznPrd2myiKcP/+/aW/ffWrX8Uv//Iv44tf/CK+7/u+DwDwC7/wC/jBH/xB/NzP/RwePny4QWv8k2vAgN7Qlt3KJEuBDBiv2MdzIYJgXjUxLF8GKso1H8tb3/OklIijkGK7xpaxvl0SyebS77wXqNtGlmdzxfO2NaX0Ch2FTQgx127GRubjoO1WTKtXFy9fzIqiejYxkfymycb1cLa2GzxFnuU4OTlzapgc7VaMJEk30trgnFPaNdYmWzUwhpliePsCePtC4w/ey/HSngCHhTIB4kDCWlBFX5eJow2HVgY9FLBWQVuFxCV9aaduyzkQCAHBLALB8IlbLbx9nsIkBbjTQhOGJktAw1qGWHK0Q4t2yMByYJmTxFqLIi9werKkv6+ZD7IsQ5ZlmExXi1E1sSZTAAMBN1/AMs1yJ4bFqfTCdd75TZ61AxBRFJbcD1Km1lh7s5bYKj7LZDJFkiR4cP9eyR8hGQSSdpg4r94mQl9XmeAcscucIkXa9aDUWoOLwWDd2VfeVwu7Mfl9k2yeJTsD8JpHGbIFRVhj5sm6l3a8wm6EQ/If/+N/xN27d3FwcIA//af/NH7mZ34Gt27dAgB8/vOfx/7+fglGAOAHfuAHwDnHF77wBfzQD/3QpeP5l9XbaDQf5yoRaRiU9V82ycQQQiAIJJTSW/EtvFlrEUchet2uQ62UZuXJRe1WjKI4Q7521WRL4mheFAgc0u73ugCAQisUJwWKYvuUZ8ZIwdMYe0kfwafBJb4K5gdLZ9ipUWFB6ZRL7dpnTf2Co7/XQ5pm5DG4NCGTu7/b7SAIJBWaK4prezykI+hxN0h/IGEsS3F5qtHRw9HxyVpAQm5qCsuR3o3G0IX7dlm19BvnAk8nFk8GE3zPqy3c7QVQxiAOJELJoSwQ2RzMauSGNFgKXk1vHKQ9QsqtGgHn4Jyk50nwlbRLGADtBFxCQenDgWC417L4rgOFt2cRiucUrfB8AJ/ufl2VYQsi9Z6fX5RlFCh9mDy5z6MukzfOGXrdDgIpcTEcloUFhSBiNWP8kgw6d2O2cHL3q+4HHYPAx+nZObRLo+/1OuU7RnXCNu+fQSBLgEOkYlWOJ0prjCdTzJKkQdj9mrZiPV43IYSrFC7JC/chzoraOSD57Gc/ix/+4R/G66+/jm9961v4u3/37+Jzn/scPv/5z0MIgWfPnuHu3bvzjZASh4eHePbs2dJj/uzP/ix+6qd+auU5SdCIUKnWGqrQUOvcivV9Hc8ljiMqQX+NtF5PriM3oPvShSyMMTDaC4f58Mvy40gpSvIs51QHRm2ouLkoO17PegGAMAxLF3YdwBljYIDyfNvbh8f74Rno3ushpST9hTUkTH/P6kz8SysLRuEtXxCQ+H2bkaeXt1cgkFU7LwOhdbZbzxmJT3ki2+pjM0bewVYrhlYkn13sqGxA3SYFkGkLozQOzwtkyuKuBvZiAxsIcKMhrIY0CjkULAcKl7rKndaIBYO0JDPPYMBRCajxUtaVLtdYBu5IroIztCVwGAFUfHi1C36pbfloGGeIo+j/396bxkqX1Pf936o6a3ffvuuzzsawGIxZ/g6xx4+sEJIZzYBIhAORjIMinFhYJjNRbBxiEyUQOy+wiJQojhx4EcnwwjYJUQgyCkkwmEGOBxzGIBabCYMHz/LM8zx37/VsVfV/UVWnT3ef7j7dt++9z31ufUZ3nnu7z1KnzjlVv/qtSk0u+NKKwiVpCqQpGGU6SVp1U9FC6v8J5EnahEq3QEByJ1XKGOJ4OBkjpWrxyRhTC7/8PR5OV+66ymm3mINJRYkQfV5Z3cpfPD9R/hOu68JxHJUpF4MFjhk3lreQmOE4O+MxdBwHjqNCdieVnVCHGT/Q3Pf5iP7NSxdI3vnOd+a/v/a1r8XrXvc6vOxlL8OXvvQlPPjggwsd8wMf+ADe97735X+3Wi3cc8896g+pssw5jGGlVgMBQRTF6MyR/Y4QYGN9TeW5EEJFZ8w7eEilxjo8bOUrQ0PuwXzYQuCrBDRm5Vs2f3me0rI4joNev4+Dw9bcqY1NXgNT38SsAoytr14LAajQ3ixr37HOpIypwUsVm6PwPA+Nek3HyE9Wj3PBwWOOF66XC8mUEn1sD7t7B0vNZ+C5DnzfR70Wqgq/S0zDPw+9fh+9fh/7B4czt6WEoF4LsbmxjjRJIBGDJ8fzTKWC4Fbs4Q/+X4QVT+KB+3y8bJXiYkjAXAJKVYhq26E6D4XSgDiUqFT0UL8LqfxUGCWQ2tyjzDUERAJUSuWXooLNwIhyfA1dClJlabokHMqwsb6OJE0QJ8lSw20pVXVhMp3x80THAT1m7uwMm7dMHiQTXtxutYeGY1dn0CaEIIrj0rT36hg1+J4HQpCbNVS6/KggbC+gDSIqX1QQBPB9FdUDfdzbkUZdaXApISrf0SSH7NuAYw/7felLX4qtrS08/fTTePDBB3H58mXcunVraJssy7C3tzfR78T3/THHWABDQkMUxbi1s4eMZ6Xx1pMkf5UHQOLGzVvaAWrKxFJpvpm+kVHvCy5x2GohzVI4jqMcPvUqu9sdpKmfpKmYNfm5rlK3M8bQ6fZyHwjD7t4BADUgzO/Rr87tOAxmUJ6Y/niJ2g+T0t84ganDTz+B4zpYXV1BEidI0wzdXk+tuI7YMEIoPNfDha1NtNttRFGc+/bMJ5iU+CpFEZI0Rb/f1z48p6tiNSYDEEx8P0wmTlX8L8kdB40jIWNs7hDAKS1S/1AXkZD47s0MDc5RW5Hwai4EI+CM6FBgAocpAYRLAg5ASi2QOIAndQ4SKXPTkjHdCAy/Z1xIHEYSz7YlsqmXsdz7lWUZbu3sVCqKOZES2Uk5r7u4sLWJTreLVrtTWSCRkGCUgTJl5pmmtZl3lS2EQLvdVUnZCMY01kmc5ELyJKdRITjanQ66OnWB8uNQZtiN9VVwrnIryV63kGFaPa9mPFZaVZYf25gshRDY3dvPc5+YxaVZpEgpS53/j+o4O3iXKNKUT/FNKXieAmi328ocZxzv55Clp42Tk+6rwxhMJsqJTroTOHaB5Pnnn8fu7i6uXLkCALh27RoODg7w5JNP4g1veAMA4Itf/CKEEHjggQcWPk/GObL+uONhGSYBjZQmIZDMnZtyZnbgYoOOwxh81wPxCDq9LrjgCAIfcUSQyhRcO5qZKrILD+BEeeZRxvKcAUWml6eu6IDEVPZXYuLTl2ybHHIg1bUnPM8DpTrlcoXzqW6gIDoFdmleloW7eKAlkVLmqen5EUMhjbp3lmvhSRUIJEQ5HqoCab1SHy0JFUFmEnWZ700JBs9TEQeLJBScCGXIpMB2l+NWwFGHgEMA7jEIVyU3c5mKkoE0EUECRFIIqltNpKoYrA/JqMoaawbRPHpA//Qz4CAWOEkzvJACvSlp16czPDmNfmcSIA4lvJJDm5QflRAwR/neAdMFkkWcKIvHIyNN4lyA8+lZrKWUSEZzuZioKi1IEAJESQwpVQQWpQyOwxAEAfp95aDu+67OCiyGfKj6o34tVGX1dT1Pp2MfF0jmSY9fhqP9Zpiu2j5ZdhwR4JJxk9ZRTSvqEOMHoUQ5s4NgoTo9cwsknU4HTz/9dP73M888g2984xvY2NjAxsYGfu3Xfg3veMc7cPnyZXz/+9/HP/tn/wwvf/nL8cgjjwAAfviHfxhvfvOb8Z73vAcf+9jHkKYpHnvsMbzzne+cM8JmMYxtMc8id8Jem71IqQsb9VqeGOvSxQs4PGyh2+0f2cve0O32hvJCHAe1MFDaK8/DCy/emB4OuAQcxnBhawOe6+Evn3teZQedMTMoc1m52eUo8Iyj0+ni6c4zuLC1gVoYgjGGVrsNHh2v2tsMqJQQJEvTOpRjEttd2NqC57n4y2efR6Kzso5ut9KoY2tzAzdubiOKIkSxKmdeCwKsrTaxvbOHfhTpaqTLabMEQQwPX90GvrWX4ce3Mty9wnGpTtH0GTyHwncYQkeHs0sKSTkySpCZhGqMQDgMgcPgOxSHUaZ8wYQSVriQyIREJiUSLtBPJhfUm4TJpgkgX5GfNpxz9PscT//FD+belzGK5koDYRBASrnYWENULZ+BVmFYqDGZVwkhc9VDmYzKKvzc89exttbEha0NxGkCQtTE6fs+amGIC5vreP76DWSc49KFLfT6EaI4mZqsTpnZ6whDPzfRL5vmSkPnWsHEgqSnjeM4uHBhM686PH3hW7L/vCf82te+hr/xN/5G/rfx7Xj3u9+Nj370o/jmN7+JT3ziEzg4OMDVq1fx8MMP41//6389ZHL5nd/5HTz22GN48MEHQSnFO97xDvzmb/7mvE3BtIJEE/eRErUgQBD46HS6Oqpk0kRaPVLH/MyK8On3I6SJimKJYjUw37q1k7fjZOsqVDjXlE26vT6iOFFOcRXzLQwOO/99S7MMO7v7SmWpK1xOOcGCzL9jW4cWcp0G/LgwOWnqtTB32Lu1s7vUgcnkzFEOlCLX/Ozs7oFSJcTzkmfcJGLKdIi0KToXRTGEdgyu12sIAh87e/s6J83yJmVOGPqS4s/bAnspx8Uex49sSNQ9htSVgGRwmK6c7Ki8IlKnUedSpZfnUq3ZMy6QCSWIpFwgFRIpl4hSgb2Y4Lm+O8NkM04QBAh9H1KqqqyTsggboQWonm67yGihvcX6eLbDJOcCnU4XUX8+86fRKnLO4TgOVhp1UJ0bZP9weMIPQiUg8EzVyKpaUG8i0vwj0ev1cfPWDqI4zt+fLMvQ7/exszvIw7Ozu4cs43numkmkaapCjKP+XOHxAAraRBXpBBit3HC/dro9MP3cjI4zZnFrTI/l88i0+zQ5tHjoJIVfzbNaNHdmPMPu/n4udJtno+ozMrdA8qY3vWnqpPm//tf/mnmMjY2NJSRBmxPTZKL8K8LAz8MTUxzNadC8ZMr2mE6clKROJJMAQMGlo4rT4GIcTeCYxbQVw3GkP+eco71QwbnjFfLmTt+9IFTXvgmCQFeSdZZqtin6iqgVq8zNLIet6U7VSviIxvoiTdM86kY517mDSJYlIglDCuCFCOimCVqxwIVAYJUDK1wqh1QBSEfn4ICE1IOwkDqbKjF5TKSq5CskMq6EkZQLtBOBvZhiO6ZaiKne7w5z4Hk+pBSIJzgpU52QEEBuJpgXSggc14XSBiyqiZl9XVJIfa9H7uXorS0cilCTnsFDHCdgpi4OIbmJuojjOPB9DwlJQRNawRRf/bmKSzQeRvjudLu5T1+r1alkypinAvEkqPbpMZF9WTZ874pCbFHoNPXCfN9TwlOWzV33q1LEWGEOVdmIvbytohAF2u4sruU/R7VsFKaapnro+Nwr+0nHDAIfVy5dxP7BIXb29m9LdZrl7GBypnA+eEbDIECjUYfveeh0u3jhxYOlahmklFhfW4XjMGQZx+7ePpIlHF9oR9cfPPd8fp5FIFClDSQwNYfMAXfR6jt4/pkI9zUEXt7M8MObEnWXInQZMiHhMgrPoRBMgEkV/BuneqUsJDIhwIVEL+XopRytSOCPXgRe6FN0hDt32w9bLbTaKqXipOv3fQ+bG+uQUuVeKk8mOJ0gDFSkU5ohiqJjXOyUQ6CeWyXIDmez9j0fzZU6Ll68gOeeewG9vtJSTOLwsKWqE+MIvnRzsL7aVM+XBHZ39xDzkyvnQAjBarOJrc113NrZmysRoee6av65fAl7ewfY298/1rZSQtGo13H1yiXc2tlVqen7y5nv7kyBZMKzSylFLQwRBD5cx1Fqtm4P3YUdxhQm7fPO3j6iKFputk7mgjo+wNzcc9lAtHJ93jONLWIqHsCkvx9sP74jARkWqudIUFdp2xM0xZwWyoGXqvDwNAPhXKWv9zz04SHhDAkFaI0uNfCUAIhIqJw+iQRqBGxJgvWoY2IZyjHQgeM4efRG8QiUKKdmAAU/lMlHpSJD6kncCgQa6GCd97El2pBSFd9TDqsUjJLcF8lkc82ERCokOgnHDq/hFmrordVB6w7W+bwlwKrdJdd1wGqhuqQgw5rbnPM8ypeB1kK4nANhhrVgfe5jjELMi4/i+zx+TXllb71yHi0V4boOPN9D6tQRblyFk6ZLS8I2rh2Z/31363UwbYZo0DrCWXl09HicP9tznFJKiSzpI+l3kMZ9HY7cx+4etDAy/dzFsTLjGaJYCVE9nbpieYxelBqn4zjBzu4e+r2+0m5Nfizm4mwLJFPHozIPYIIw8LGyUkfg+3km1UUFEvNQZJmqWjuvA08ViOODhk3AHS/SpP6Wc78MJsoIADBHvYFBdJI54fjDarYxLRUzJo18P0IGbbmT0sMugBrYGbzQB9IM0Om0ObSljwNgLlijvsyzqtIGGCTsI2Fw9AFCT2YEs4RTAsd1EAaBNkk5KI5uRGcSDXwPkNB1X6o5l+5BwMtuIBbbcHgHkkgEebI7lV8kNUV3JJBJoc00Eu0EuIkGnqcXkaxfhgeGxUoFzocHwFstfjLfSM/0T7B2xIYMry+m9jfNTQd+HnFW5ueVAAjXGwiP2LShZhaFJsgjrz9WKrxa5pyEaH/GOeQAKTmizgE6e0CWxJBSoNeP0FvAGVaZaVRl+tE5YjQh5tFRgnwUR4ji0baS8ZBiOfLvDM62QDInGc9wa2cX27t7+Yr8dvB2nwRxa2DhKmh9c0w7MrTdUc9zjNsf57HvZCQIehkg4QKuqxNxnQzHdQ+mHZeAwPE8eLUaAp3QatiJjgwdJPBqqKodJADa2EA/7eBm/BLcFX0fq2kbF5I2QpfBoWoiBVRUTZIpc00kHXxTvATt+r3ohVfgg56inu303oyy+WXqdkQpdFlwcnrJqm08rnPOf16JWnMTXtCAX2ti/8YzKlPtMtpFTAHYxcuLHAWWO7uqkPV5ONMCiVo1zWdfnEcAOdWIF0JBa6sgXg0kT85z9rACxuJIAIN5+Bz0JCGAzhlDdLjn5G2H/pmJBEPm1CAksEsy9HgHnWwfAaFwIOGkysucg6AnA0jHR0YDtLCF2F2FoKpQ4Dm4C1Opev1GYXEa/XVa92iR8/r1FUgpcHDzByPiNVnIYd11HXiuKsYax0nuCLvM4oFTz+84WFtdQT+KkaQpkuQcCSSmANmyHEhPTgCpcB5CwepbIOxM3yKLpTrH/PpJ5oMzHzvBOpD2gO4OfEbhyBRuqpwrOXFw6GyCBBsgfuN4G2Q59/i1Jpjrq8SNehoz5kk1t42mgpguOPg6H4rrumi3OxPDy0cZnfsWEVAoJXA9BxcvbGJ3/wDtTleXvahitlec6dlua3MdjXoDz71wfQnF4G4faG0dNFwD6LzOcxaLpRJOAKxcQUKABBIkNGUrCAhhADm7WknL2YJShvXL96N3uINeaxdrq034vgff83D9xq25KtB3uz2VlE3nxDpJhBDo9yN87y9+UAg5n2+VcaYFkjRJETnxQpqN49WGVDx22WbMAXF8EFcVv7NYzhcnpKUkFGADnxBZkP3tW2c5UQhBrbmpIukylcY+TbMJjuDT3w8hkecEOQpl82MVrYnKtbV4Xq8zLZDsHRyAzkiUtQxV1GymxDzNNb4SECcAcUJQN1hCuyyWs4S0fhqWcwelDCtbV8FcD5QyHNx4BoKrSX20sCCAsuDGql8eiaPW4qnCmRZIFqWY5n2ZUKpDVxeNOmMOnPW7QdhJBBZaLLcbBPJE44ksltsHv74K1w+x4iSIeh20tflFSKHTIpg07bdvZOhRuWMEkqomGEopfM+Dwxi6vd6UvP8TzzT2CYEScsJA1aoQXCBKkvHAmdK9NcwDcQP1U1Kd12I5H1hxxHI+YY4LShnghaCJckXwfQ9UV1Y2aeHH8l1Nzfpe9uVydZDL1JzcMQJJFUyp7YsXNtFo1PHMD55DnCRzl0geOy7VFVE3NyGEQJqmuLm9OyTJmmJEEiZD5PAxWF07slqFteXcYk02FksrZehGqoLy3XddRr0WohaGuuRJDzei7dNu4rFxpgUSObd2QyVq2d7Zw97+AaI4LjHbDDLbFbOHjp2n8GctrKFWC8GFQK/XR7fbHTuu53lYba5AQjn9HLbauqCX9htxQxDXh8VisVjOKYRgZesuOH4IShl2D/axt3cAxpiuvTaHw+pEd5LZmbOHmzTIiTLPfFvctup+Z1ogmRdTzZTzDEkqR27uuPOrl1feFEjSbOJ9NKu6JEkQxzGikiq4efY8qGqjeRIcQkH9OojjgdBzdTssFovFUoAQAi+sQ0qOLE3QOdhGlvRn71dFr1hZDhlsyJgDx2EgIOCCT6xkvyzO1QzIGMXFC1tI0wxpmmBv7wBSZxMczWPiey7WVptwmIM4SXBrZ3ficdudLtqd7lh2d1UkTX0YpwlubO+MR/0wD876vUu5PovlTJOnprVGG8v5xgtXsBE0sHf9+5UEkuOiUQ+xttpEkmbo9Xo4TIejWhlT+XqWVVD2HAkkEjzj2NndVVEwUsJxHdTrNdTCADs7e0jSLNeaJEmKg8O2isbhApDKBwQoNxVJjPuFeJ6HWhiCMYokSdAaCVGmtTVQnQ3yeMKRLZYzRO6EZx1bLecbQlS0WWP9Iihj6Lf2pm4/WtWJ6XIjc5lZSjbr9SNkGYeQApxzXfNJzYWMMayvrUIIid29fQjOj/zm3qECSXm3CCnQ6fZ0VUqKWi1EGAao1UIwxkA5h1GUcK6yzhVhjOmiRermzCqdTYmqYOo6bCRUS6llqN8ADVaOcqEWi8ViuUMJV9YhhUDca0PwrFIldEIIfN8D5wKcZ+BcQkIuVA8rTVKkOtEZcyg814EQEoQQMEoR+D64EIMK8kfUktyhAskMJEAJxeWLF9Dt9vDii7fQ60cz85I0V+rwfRXau39wOLNOQD+KEMWx9h+h8DydX4RQcOKCenUQZ5lFuC2WM4w12VgsQ6xevAdBYw3M8XBw8y+Rxr2p27uuA8/zcPddV9Bud7C9vVuxJvZs6mENF7Y2cNBqI4pi9Pp9PPv8CwBQGjm6CHeAQDK5F4x3MAHJNRQOZRBSQggVbZOmKeIkLRVGRm9kt9fXDquycn0BqbOkOS5Ds7kC13GQguEg9VWKeGuqsVgsFssIam4gcLwQK5uX0d59EWlUIpDoKYRplwKecWxv7yJJkiEt/jTBpIr2JIpj7O4dII5jZJxDCglJqkgh1ee4O0AgKTDSN5SpiokOZUgzVTXRdV1kmfIV2T84HNl9eudWrZw4ehgJCUYZ6mEIPwiRwEUr8mFXghaLxWKZhuN6YM1NVRWYUEhpAjD0/CF1ji1HTedcCOztH6h5qOIUMzr3lQkoSZKO16mZmpRt1kbj3FkCyQiMUoRhgMsXL+DmrR3ESYLNzXXEcYIkSdDp9kCIuplHKQhEKQUlFIQo35Oy1L69fg/PPh/BXb8bxGOq5608YrFYLJYKrF64C47n4fDms2PfMaZcEKI4Rr8fIUuzpZlqTpIzL5AQndfDzO2cD4QBzgXiOMH+wWGekbXd7oBzjoxzEKrSvfueh/2DQ6WGksOJ0UxytFz1VXKPGaVwHBe10Ee/H6HXHw/TksSBdAMIOsg3YuURi8VisVQhXFkHoQRp1EPcbYFng3xXQgi02h1kWYY0zQaRNQtmji8TZqo6xTJG81MLIeYKnDvbAom+SIexvPiQEGl+M5TgkQ2ZWpJDZaYhhMDzXIRhgJVGA61OR4c2DQQSxhgcxlRUTaJvfklBGkopXNdBc6UBKSX6UVSSb8QFDVZVRlZbPM9isVgsFSGEIGxuwPECpEkEniZjAsn+wUHZnuMfLVFIUbsOdlblWRyAKP/JVMi5NDVnWyCBumjXcRAEPmphiBs3t5FWqE0jpUrhvr2zh929A2TZQKpkjKlj+j7WVptIswy3tnfzGGwhBLJsoE1JkgRpmqLf66nifb6nYreFgBACxA1BwybYygWAsOPrDIvlTGNzkFgs03D8AJt3vRz9w13EvdbSj++6bi5eJBUDN4o4jqoV1+v3EUXx3K4QZ14gAVSW1SRJVRIzKSpLZFKq9PF5Cnmzm1RCSRD4SLMMSaK0Low5oJSCAOjLKC/KZxKtCSHg+x4814XDHB3Bk4B6NaUZsanhLZYpWCOmxTINQiiY48GrrcDrd5D02jP2qJgvXqogkDAI8jxbqBpJWjiHEMpCkCTpWPbzKpzpGVLq/6I4RhTHQGf2PnrHGd9LMJ04bWdnD3Ecg/MMjCl/E9dxkGZpaZVgRhk8zwOlFFFEkKQZaNAE8WpzX5/Fcv6wQonFMotacxNSCOz1OjiaVtHsS8AIxUqjgTiJEZt6bBML9JWT8Qzbu9Ozyk7jTAskx4MEFxzdbncQb61NM71eH/1+BEJIqTACqNDgOEmUT4vjgzW2VHp4xz3Ji7BYziDWZGOxVKGxcQl+rQlAort/C/FMTclsMp7h1vYOpBR5/qwylJ8IQ+D7iOIYnHOIZWRFw3kQSCb20/QO5EVHVvNZBRWUMQMR6oBSVwkjzAEhtGKDLRaLxWKZDHM8ICCorV5A3G0fSSBhjKnCsBLIslRnXJ3s+aqiSh14nos4Ga9sX0ZVN4o7b5aUIz8Tv1zyaXURozy6xvVB/AZYfQOEWkdWi8VisSwP5rhYu3QvvFAVaC3OQVUL6lFK4HsuAt+H7/v600n7ShCoorG+3l6F9sqlTa13loZkwc4gROUjMXHTSZIAUPVnwsCHkBL9/ngo77RmOLUNUK++WIMsFovFYqlAbXUTPEvQ2n6+emVfDSUUYRgizTLthjB7/ziOVVRpv4csLXFdmCND7ChnWyAZk8gWF88YYwAhWiBR3sUqHa8LKQViSsEL/iQTIRSEuSqqxvqNWCwWi+UY8cIGas1N9Nt7yJJYVQUGJs5VxfppRsMhuEpRMW16o5TCYUy5M3CONJ1SjFYuJpGcbYFkiUgJOIzCc130deVfzjkYJQBx4DpO7h8yDerVwcJVUL8OWL8Ri8VisRwjtdUtBI01CMHR2b2B7uF25X1VTbeDmdtRXYalUa/hsNVGlmUoqUd7ZO4AgWSySMcYg+M4CMMAvV5vOKVu8QhShQ7ThACEQOqellKi3ekCULlOyioCFyFuABqsgNbXlKbEVvK1WM4k7d3riNoHp92M2wovbGD10r2n3QzLCIQQUMqweuFupFFvqkBSCwMQSnNLwKw5zeAwBgKS5+0qlmgZbYvrunAdF4QQdHtdSFndgnPGBZIp5ZQJAaUqPKleqyFNU3AuxjQcRkAphvEWhZaqXsQAAXECEC8AdcPql2C5I5BSQGRVn5XFINQBZWf8lb0NEYKDJ/HQZ1HnEL3W7im16PaE8xS11a3xLwiB4wV2AXaKEErh15twgxqY4w2llS/iOC4oJcgyDoJBmRVTt43pUiljgopOOpqmXJt2ZigCXAc0fx6qO9ne0aMb5xzEA9aaKxCcg1KKdrs8e9q8zkBjUApn5QKIFUbOJSKN0bnxNKYaYY+Iv3oJwdqlYzv+eSXpd3Dz+98a+dTmQxkl7rZw/f/96djnrh/iyit+FLACyalTa25i4+pLsfP89yDF8OKbEAJKAEiJNE2Hcoe4rgPPdbHSaKDd6aDbGy4QmyQJ1Np8vHDs6DkYoxCcI1vApnPHCiRKwFCZUnf39xFFca4dmSV8+L4HRlVhvW6/N6SeYpSiXq8hy5TqKk4SML8G5tdB3QCwK9jzyzEKIwCQ9Vvo8/nrS5wJCEHKGEQ3RBIEcN2Te4/UatIKINUY76csjbF3/fsAAMocrF66F9SmOjgV/PoKCKVIoi6izuFQvRtV+FVpArOSAA3zfZZNnieNFowxpkqkOMrJtacFGCllIctrdc2I4UzPnoxSUMYmOppKKZFlGQ5bKmlMZXuZ48BzHLiuh34cDQkkhKp8/3GSqjo3WQbm1cDCJuB41pHVcmzwpA+eTF+hnGUySiFjH7zvgzHrg3VWkIKjs3cDAECZi8b6JcD1rHnxFHD9Gpjro752EVIIxL3DwrdkoguClCraZjQ7eRmm+Kzve3BdF2maoYeBQJIuUJTPcKafmNXVJhqNOl68uT3RN4RznktvVYmiGJnD4euEL5SQXL3FOcdhqw1CCUAA5teBYBUI1pdzURaLxXJGETzFi09/HasX78XqxXtOuznnEkIo1q++FEJkaO08X2mfNE0rCxIXtjbAKEOaZeh2ewtVBZ7EmRZI4jQBixiMGnGWeohSipVGHVmW5VV8yxBCKCdXXcF3kPZWQkogzVRlYUIdkNoKiONZ++k5Junug0fd026GxXJbIIVAv70PSImVratWU3LCGAdVL6ijvnYBvdae9ieZNj9Wm78IgDiKAUKQpCmSNJ2Zn2seTeeZflLiKIKU1U33lFI0myvo9yPQOC4JAx4INioiZyQLnc7xzzMOEALqOHD9FRDmLeNyLGeUtHuArH/04laWEY7g1mE9Qk6XqHOIpN9BbW0LIASEWJ+Sk8YNamisX0bcayNLBSAKb8WYjDA7vSoBAELQjyIIIXPNyCxFwDyp7M+0QJKmHFxElbfnnOPmrR0YTcdRYGET1F+xCdAsliVBUBgSj5B+2nJ7IDjHi09/E431S1i7fP9pN+fc4dfW4QYrkAB6hzvo7L54pONJaO1XFM/cdlHOtEAyL8bJFTAWloEppnyHks8IgeP6qK1dgFdfBw1WQGaMnHa1dmcj2jUk4nhzkJwHCAgkgDRNkM58q6Zj37nbhQhwa6Dt1uxNzznHIn9LCU59SDqixS++IEr1ocw8ngvXcUAoQafTnWvhbvKYrDTqiHS9GxOxU5VzJZAAEkJwqM4ffIaSX/Pl2sgNoZTBq61gbesu1NcvHmdj7wDOxxJXtG8ikndoOO4JIbW/VpIkiJJ4ZvKleTgfT+HtC3dayFybZG4Wx/ecMnAyua6a8TmhlKJeC1ELQzgOQ6/bA5ejkamTW0kIgee6uHzxAnb399HudK1AYjD2LmDcxlXFx8asz+SIROJ4AbbufgXCRhOMWVONRZXwtj7NR4MQAikH7+uyhBHAaktOGyHlUBIuy8kjHR9O8yKyzh4gjJWAwPd93H31Mg4OW+j1+2i1Oui0uzoza1keksk+m1JKxEmMv/jBs5VKrZRxRwokhBC4DoPrupBSotcf9jNxXQcOc/JomlEpjhCViyQIfMRRnHeuG9Tg15vw66tgrmvzJJxzeJYg6hxCZIl9Fo7IMgUQy22GvbWnDmGOqrOWRpBpBKlTy0spECcJuOA6F4kA1++ihMzvneOounCO4+TFZ+WYSUGqXCZ8cfP1HSSQDDqHUQbf97G22oQQApGJxtHf18Iwr2/T7faQZYM8JWZeCUMfFy9sYWdnD1EUI4pj1Ncuor52AX69aScgC9Koj51nv3vazbBYLJapEMcHZR6Y4BBRG1lnB5BAkqS4/uLNoUSEZYuDMAgQhgHq9RquX7+BRIyaYsoCReafI+8ggWRAxjl6vR6SJBmR4VSxvThKkCYZ0iwtSaimhJJur4/nr7+INM1ACEOwsobVS/eg1tw82YuxWCwWi2UJsNq6igrt7EBCglKKMPQR+D4Agt3dvdL9ev0IcZKg3ekgm5AZfRmccYFEolQfKCU4l+A68sHIaYQQUEZzm3+WDechyVVQclBmWUoJ13cRNNbgBXU4XnC8l2Sx3Ia4QQ2MTXaMOyoSQJZxSBZBsEi9e0dKRCLB497S2mdZDObXQF3/tJthgU5QxlwQ5oE4PiRPVfJPnXeLEDOjyrEYN+UPMvDtIoRAipL3c2i38RxfszjjAskM5NA/eVhSrRbCdRz0+v1SB52i7QwAHC/E+uX74fi2kq/lfLJ26SUImxvHeo4kSdHpdNDtdpBko0kL50MKjvb17wILONZZlgShqG3dB2Iztd5WEMcDa2yBd3bAsxjdbg9dTBHetZDBmAPfU7VrlF9lNnmfBTnTT0rge/DDEN1uT0lwM8YvKSWSJIXrOJBSZW6VUkCMhTYNWNm8gtrqBQQra8e6QrScPdyghosv+ZHTbsaJ4IWNY/WbmlZZdCGomgwX9ahMWjvIos7i5z+nEMoQbtwFUAqAgDBm/e1uMwhz4TS2AAAi7kD0D4e+d7XzKmMUaarKrFBC4boOwjBEkrYnLxZKc3dVb9uZFkgYY/AcFxGlueppFKP2VUmXpDbFCFDGQSmdLMgQAkoZwpUNhCvrYI5nXyzLEMxxj11rYFkMQijccGXh/XnchxgtHXGSSAGRzR+tQCgDOcWFE2UOnHAFhNpU8bcrhDKAUDC/oebNEYHE9z0EgXFNiJTPCFFzqZRC/6hJ02FMhQjrvEGlgsoEz4oyzrRAYjrBdV399+QBxNjFJCS45KCCwnVdZT8rUes6joegsYq1yy+BX1uxwojFcmKc/rvmr16Ev3p6iQ+zqIPerWfm3s8Jmwg37z6GFlnuJAghoOEqwBxkh9cLnwMXtjZxYWsT+/sH2AfQj2JwzpVpp9sbOsZKcwWUEHR7PaRpNhYkMi9nWiBJ0wzdXg+ccwghZzrBEQKEQQjXdUAoRT/pQ3BeKr25QQ3NC3fDca1mxGI5b5z2O8/cAOHmPXPvR+14ZakIIQSEuXBXryLr7UEmEShjiOME7XYH+wct9KJ+qeaDAKCEgGcZMqi5uBYGoJSi14/0nHzOEqNlGYeQ86g1CRyHgRAKSBUeXOYpTJkD16+j1ty0pbMtFsuJQx0XXmP9tJthucMh1AGrr0EkfYhMVZBKkhTdXh9xHINnvNwMo9PNZzoSVQgBRyccjeNkTBipKiSf6dlWYrZWpIgQAt1uD47jgFI6wa5FsH7lftTXLyK0OUcsFovFcqdCKIjXAGtsgjgeePsW2u0O4jjB+voaWq024mR80S+lRMY5sl4vr4PTj1RG9DhNhoWY8+LUOhe6fzgXADJdO6OoipKgjgvXC9HYuIygsWpVnxbLSWOKWloslmPHzHHUqyvn1H4LXHIkaYJWu40sy+B7Pur1EHGSoNsphAfr91RKCSkE0jQb/F0USOR4TbhJ3LkCSen1q47KstEv1d/M8eDXmqitbsD1a8fdQovFYrFYTh3qBSCUgrsBZNZDlqXodLpgTNWEW2k0QLu9YYGkMI2qAopTgkoq5hS6cwWSqZR3Triyjs27XwHmeCfcHovFYrFYThHK4KxeRNa6CZHGIDqcN01T9Pv92UKFxJG1m3eMQGLsWI16LfcVUaojYHYQNEHYVPlGVIgvPYEWWywWi8Vym0AIiBMo8w1PIeIezNw5PWKmIIWMFgCek7MvkOgOIFQVzltfbSLNMvT7kfYXma0qIpSisXEJtdUteGHjeNtrsVgsFsttBiEUxA0ggxUAEiLpA5OSnQ0xIT3rAkmSz75AohFcIOYJnr9+Q/0tjDAyvVfcoAa/1sTmXS+3hfMsllPlCMX0LBbLUqD+CogTQEQdiLQPLJAxeFHOuEAyLnBkmXKsMVE00yCEwAsbqK9ugbm+zTlisVgslnMNoRSAA+o3IAWHXEggWWxxccc6S1QRRgghCBtrWL14N6itvWCxWCwWC0AIWG0V1FtWhftzHGVTTB8ySS4hlGHt0n1obFyGV2sO72SxWCwWy7mFgHh10FoGBoB3dgFZ7tg6KV9X1VDfInekQEIpg+e5yLIMQsixSoSUOXDcALU15cRqTTUWi8VisSgIIQBhoG4ABCsQ/RYkTyGFKp5HKQVjDIwNyrC4rgtCgDhOFhJGgDtUIHFdF+tra+h0u0iSBHE8bANz/RBBYx1rl+6zwojFctthtZUWy+0A9Wogjo+suw+Z9AAtkDBGEYYBwiCAEBKdbhdra01QQnFreydXAsx9vnk2/vCHP4wf+7Efw8rKCi5evIif+qmfwlNPPTW0TRRFePTRR7G5uYlGo4F3vOMduHnz5tA2zz77LN761reiVqvh4sWLeP/73587oy6DNEmwv3+AKIqQZdlYKtva6hbWLt9r841YLBaLxTINQuA0NkH9lfwjzgXiOMZhq412p4Msy3B42ML+weHClX6BOQWSxx9/HI8++ii+8pWv4POf/zzSNMXDDz+Mbrebb/NLv/RL+P3f/3186lOfwuOPP47r16/j7W9/e+FCON761rciSRL88R//MT7xiU/g4x//OD74wQ8udAFFjODBhUCcJKoacFFSIwSuX4Nfb8Kvr1q/EYvFYrFYpkJA3BqoF4I4HgCiS7BwpGmKNE0hhECSpEiSxc01AEDkEfbe3t7GxYsX8fjjj+ONb3wjDg8PceHCBfzu7/4u/u7f/bsAgO9+97v44R/+YTzxxBP4iZ/4CXzuc5/D3/pbfwvXr1/HpUuXAAAf+9jH8Cu/8ivY3t6G581O295qtbC6uoqLL33tUHTMrEthro+te34IzQt3IVzZUB1ghRKL5dSRUiJJEnS6XXS7PSTpyeU+sFgskzHzqki64N19pIc3ADHdojE6rwrBcesvvoXDw0M0m82J+x3JZnF4eAgA2NhQk/uTTz6JNE3x0EMP5du86lWvwr333osnnngCAPDEE0/gta99bS6MAMAjjzyCVquF73znO6XnieMYrVZr6AcYaETGqguW4Po11JobWL10L7xwJQ/7tVgstwc2LZrFcvth5krqBHDqm2B+XWtKJjPP3FxkYYFECIFf/MVfxE/+5E/iNa95DQDgxo0b8DwPa2trQ9teunQJN27cyLcpCiPme/NdGR/+8Iexurqa/9xzzz1zt9cNavDrqwjqTTiuLZ5nsVgsFktVCHNAvFD9sOOZQxcWSB599FF8+9vfxic/+clltqeUD3zgAzg8PMx/nnvuubmP0dy8ivXL98F68FssFovFshhOYwustlZ5+3lm3IViXh977DF89rOfxZe//GXcfffd+eeXL19GkiQ4ODgY0pLcvHkTly9fzrf5kz/5k6HjmSgcs80ovu/D9/1FmgrmeKivXUDY3LCF8ywWi8ViOQLECUD9OlhtHTxq5aHARVSeEgrf85GmKeI4rnTsuTQkUko89thj+PSnP40vfvGLuP/++4e+f8Mb3gDXdfGFL3wh/+ypp57Cs88+i2vXrgEArl27hm9961u4detWvs3nP/95NJtNvPrVr56nObMhBMzz0di4BL/ehOMF1m/EYjnHkCk/FotlOsqXxAV1Q7CwCcJclL09lBIwxuD7HphTvSzLXBqSRx99FL/7u7+Lz3zmM1hZWcl9PlZXVxGGIVZXV/FzP/dzeN/73oeNjQ00m03843/8j3Ht2jX8xE/8BADg4Ycfxqtf/Wr8/b//9/GRj3wEN27cwL/4F/8Cjz766MJakEkE9Sbqqxewec8P2ZwjFstZ4RikA5cRMEJAiRosi6eQAISQSIWEEBLcetdaLFMhbgBn9TJE2ocgbYikP7oFIIFer480yyCPo5bNRz/6UQDAm970pqHPf/u3fxs/+7M/CwD4d//u34FSine84x2I4xiPPPII/uN//I/5towxfPazn8V73/teXLt2DfV6He9+97vx67/+6/M0ZQLFiyaoNTdRW90EIdRqRiyWcwYjJkIAcCgB1b8TjIQlSglKCVwAghBACyZWLrFYyiGEQEqA+g1ASoikZ74BoIJeMhMuPEekzZHykJwWJg/J5Ze9DpQxnfwMGAgkBJRSXP2hv4La2kUEjTUrkFgstzFSSsRJgm63i26vhyQ5eh4SjxEwLYhQUi3nkJASKZfIuLCaEotlClILIiJqIdn9AYCBcnN4PlYCyvYz356Zh+RMF3K5/757QBnD9RdvIElTZJlyrvHCOtYu3ovGxhXryGqxnDMYJWAE8Bw6t/WHQAkylFBkQgknFoulHOqFIITCW70K0duHzCKAEKVhPG/VfjudHqjDwIUAoJxomOsjbKyhsXEJzPNBqPUdsVjudAhRHvqUDnxFxkwzlY6jtqcEcKjyLRHSJm2zWEZR7woBmAMaNsFkAqQUEBmSNAUfD76ZyZkWSG7t7IAy5cFLCYXDmHZk3cLK1l2n3DqLxTIPEotP/IwQOJTAZcvJwMwoAZWAYNSabyyWKRDmgtXW4SADTR3IpAvOOXjGdbk4tUCowpkWSIQUANdXSgFGKdYuvySvU2OxWO5sCACHEbhU+YtU3aeIlTUslqOTsBAy5UjaN/Nqv4QQuK4LStxKxzjTAgkk8tGFMhdebQVeuALHD0+1WRaL5fghUCYahxIVyjtBM0KK/5Lhz8wQMuKDpz4nyheFE2K89CwWyySoC7gBnKCBLOlDclWAjxDlWF6Fsy2QFHCDGuqbV+HWmmCeFUgsljsdR2tFnBJhhBR+ISDanwRjAkkRWfAVMfKH5xBwKZEJK5BYLNOgrg/CGNytu9Dfv4Gkq4rvqvfqGPKQ3K4EjVU0Nq9g466Xw3GXm1zNYrGcEBXGLIep1ZbDKOiEHYywYUJ9CQBCh4UQUmK4kWSgKTG/a82zxWKpgCQMqbMC6bZBvRQ87iJNEsSy2ot0pgUSCQkQAr++Cr/ehBvUTrtJFovlGDDmFkapCuulBKREHjGJz4DhJGh0RDNCCv+Xhc9yDYn5nUibVt5iqQohkMQB8WogPIOMuypfSUXJ/kwLJAAAAqxeuhfhyvppt8RisRwDeXIzSuAyqgSNEb+O3CQDoxkZFkbM9+OakcER1NGkynqtzTeUVo8QsFgsClrfBPEbSFo39ftabb8zLZAEtSYaG5dRa27AsX4jFssdBdUaEdehuTCRCyMYCCVDwggd+ItQQgr7DASUUv+R4u/GZCOBVAgbhWOxzAkhBKAMTmMLMu6AJ91K+51pgcQLG6ivXYTjhWBOtbAii8Vy+0KgtCFGK8J0+veJETSEFLQfWiNi/s6/G0+UVoy4Qe7MqmJujLlGQOo6HMd3vRbLHQuhYEETXAogq1YK4kwLJCubV7Fx18tOuxkWi2UZSGWecR0Kl7kTQ21zp1VKQKA0JEoIIVozMiKoDJlvBloWqiuAS0jwjKMojEjt2coFFkqBbbGcewiF07wI4nqQtJqocaYFEr+xaovmWSx3CA6j4Iyq7KgZLzU8j2tCCKgWSsq0IUYgobriN6UqQkcJLBRCckgJEEZ1inhTg4NAQqKfchvya7EsQF6GwavDqVfb50wLJF5Q8SotFstti/EPcShBppOclW83HjmTa0f0NnRIM1IUSNRxKaVgjGn/EwBCO7NSAgiptSMq94iQQMqrZlCwWCxlUMervO2ZFkhcm5HVYjmzEACuQ1VOEUIQxxJpWqIVwUBZwgqChhE+mJRDETRU70CgnGKVVoSB6t+BQaKmYhgwo1DerATo9DK048wKIxbLCXKmBRJrrrFYzh7GYZUQZaYxkTEAhkwvUgsaA60HAaVGIClqSCiI9vMo+olQSrVAQvPPAOSROYAcis4BCISU6CUcUSaQ2Ip6FsuJcqYFEsEzCJ0v32I5j8wzZU4S3+WU75Z1bgMlAKEMFFrQkBKSA0Kq91kKDgiu/s1PZLKdmVSqBJAEkhbr0Ai1iSSQVIf7QqofIiGlyH1kSV64piCY6C+lkIjSFHGWIc0GbTAC0iiTPp+GupT59zstFrnGI54Rd3LJQ7OQPun7T0DGXvRZbShrKyHazDlH+4fe5ymcaYFk74XvgTme7pdxW2+eg0CvlACJNFUCTNm2jDE4DgPPMgghwUeyy+Uhg5TkBzArMUIo0jQZK9IFAK6rullKCS6UEx2kBKMsd7TjXEBIUekhHZpAimGMug9GD5GvPgkBY8qGniQp5NSQxsntMCWlScmWt9sgawb/ojbNddT9SLMMkOa50f8vu4FlnMZljmkE5wtJNfet7Bjm0KT4JBVSmFKtaXBdF2maIsuyhcJhKVFRNIPnN28GOOdI0xRpmoIXBrBiWC/yqBlS+HuQtZVCvZ/GkXVwmUaDot9HCfUumqqkANqp1D4jBGmaIeMcjsPAGAOlDFEcDT3fDmPwPA9xkkIIMST0lEEAMIdp8xFDkiT6HZTH+94U763+3TznBABjDoxLTZZxmBtPqWqr4zqI4xhcTL4+dRwKQmmemVMUnIEH79/kZ1aNT8q0pp6vo/eLef8H50A+/paIl0PbqU/I8PhwlHZA9ZHjuCCEIIri0iMO+koLZqVtHdtpKOlf8f017wJjDMxh+fGzTAn+WVYiLBBduNJx4TgMcRTn98LR46cQHILnMWlTkRUVB2daIIlaO5CgkEIq73j9+WACVupg13UghXpJ0iwbHmxzlGDAGAXnYuRlUANcGARwHAeEUaRJioxz7Yuvzhgn8dBxjWrZ91xICWRZpl9qtZHnuqCUauGHq0GtJMXu1Js9IvSWzafGwc9hTu7YF+kHbOoLPz53DX1eJpDMejJP2kWQUgrHceA6TCW6SjN4nnrso8JLlv9b+P/ttkjzPC8XCDjXz0uVwQqLaUCG9te5QBhj4Jk+9yLHAcBYSWvkQGAXXEDIogZD71uQYoqylRmISWG73OxTOC/0Z76vnOx4poQOqU04MZfgWgPD9edCvy+EDCZJA6cU3GFqYK8weRIA1PfghCFCN0AcHer7qDU4I21dJmYscl0XlBIIIZFlGTIhAMdR10gJRJLmghUhBJxSZKwoIEw+PpgDxpQQKDgfEm5KRqnh/UHUM+a4IJQCnENwrheFZSet1kvTrPpTh74xiVnvU+msJcfT/+OEgOuFaJZmpUcsc0UYe7ZI8Vd1bz3PywWuJE3zZ5ISAkEpwBio60JCCf9EayhFrAXjkbYQQiAYQ0ZVVBrTi2cRa4EVBDxNIYV5XydzLgSSpL2nViclg4HSPFAwRhH4PhItQIwOKlWhlMJdW4MT+KDMQdrrqhWOEOBCgHOOJEnyc0spc49+7nmQQiCKYz34SBBCEAQBGKNI0yyfYEzO/4Um7imDBaX6gdVPchRFEDMKHg0Kk9F88pvZhFPTkJSflzFHTUCBDyEker0+Uk8l0ev3+/lLm79QS2z+soWvRr0OWquh3+0izTKketA5ErN2n2bnOQ6MkDFqJpjnfBPabMaEwFcFONMsRZpmkLPCeqdMatXSPQ1wRADXk6gxht3oEDxNc+3oUZicEt98r95jv1aD4zC1OOtHyNIUxHXhOEqY4FE0XHtEjhyk/A81VjiOmvQohUhTZGk6R/tV+6jrgjCmxtUsQ5bNb5I/Od/CKeeZ8lWK4fu1sEms8K5QSuGwuj6WQBz1wLke2/T3YBTM8yEhEccxfP0eiH6/dA4FANP79VpNafccB1EcAwAc5iCNI4hcqJ58DaKiyYbI203HXoFWq4XV1VVcvP9HQAgt7QgjjABKYjQrnkUu15hlXEetLqQEMp4NVqiF4zZXGlhpNLB/cIAs4+Cc520YPb/x+vc8D2EYgjGGnd3dypP/GBMFEsBoeQyzih1RSlGv1VCv13DXXVfw/AvXcevW9kw1/e0mkJhVvUkzblYGlFJ4nodaGIJSgu2dvbmfD8YY6vUaPNeFlBL7B4dqYsllm+X2heM4YJTmq/piewkhWG2ugDEGISXa7U61wXxGE9U11uF7LoSU2N8/mGmaOArm3ly5fAlxHKPVauervXmOUWTU/l20i1c67hLnN6OlcBhDkqZDY8iRjluhkaZvqY6FNosg811xYizVIpOy/jPHLrSDDH9X+RqM+XmChqBqH93OAonS3CltlMMcrDTq8AMft25t6zlqjrMTAt/zUK/X4LoO9vYP8s/TMZMXye8/gHxRDMiZwoQ5pjHbSjWZqeOgoF2eIZDs/OWf4/DwEM1mc+J2Z1pDIoQozVkwuhLq9vpHeumNMJFl2eBlM2aikcGOc6EHUBjznznK2PmlFBCC5LZzoYWXyk5P09SnhS+NvXjeQV1IgTRN0W61kcTla8HTEUAqnLMgFAghBi9QPpEDnKvrmzaATbsX+TORn1IO/TuNRVZFwpgRSgRWQgiybLBSUYNG2YmLFzD7nFJK8CxDUnikCKEgRA75CMzPtMZJRHGMNEkLflUSo6O8ec6LXWHee8d10O32xoSnhcaBI+npRz4yggDn+ap0Ge/QpGduyK9APztCt6O4KKlkciIEjuPA81xAAv0o0v4Ng3tQbg4fbtGkT807kZu0PQ+u4yDNMgjBc1M6Zpgpy96NSX8fre/LnkkABaFs9JwEgOe7cJgDIQW4GGjWURi3zdZT26fvZ5qq92RwP0nJ/VT3aKCpKAifFTXfyxKep3GmBZIixZWiMVGsNOqQGAgkcx5x6C8hJATE1HGUgCBJEjVJyaIUqoUaDGslpFS7JkmqHCyLhyybCCdewkAKBqCl4OJgN9+1m3MniXIwPDxsgY84qR0vc5xn1qYSELzEL0cKxHGMNEkKn42vpCmlBaFmMOCaz3r9fumKe9oqnRpfjCoveOErISVQovo0A3mv18+vreyQo3bx4WG9vA1CCPR6PRBK8/4YHGea1rHoSGwGvsnnKW4nhMTu7q7ep6yNxXaQoRUepQQrzQYa9TriOEKWFZ//eZ/fI660i6fT2gWmzZ+84rNyZEb8bHJfATm62WyhnBEK3/XQXFmBlBJRFJX6rE1qg2Jc7WKclBljQ5rsIPBRr9XQ7fWQpikgB34Rk0wMZYzNDVpDBCDXYC9KrhkacpwlIISqa9F9TelAA1UPQ/hBgE63i34UqWvLj2X8o1Q7RcGReGxBC+UrkmYZTG4eJa+JCYKhFhyJ2XvsaqZe67xaqqLWrarW6o4RSAxSyvyhvrW9mzvwHDfGsSgMAtRqIVrtDjzqwvM8RFGMNMvAk/F2mAGCiMEN9DwXjDFEUTyX+YZRAsd1sbbaRLfbQz+KFhrc8pWU8Wc5FS3I8SOlBC+5NqNW9zwXtTBExjniONY+QAN7fy6clBzD1Q7LBECshR4pJRijCIMQzeYK9vb2lYPqEfvXaENmaWYYY9qxmSKOY4gR7cKEoyu1rOCglCIMa9q5m6HT7SKOk8EKr4AZf3zfBbSTaJXInCrPGmMUQRDkprLDVlsPxkpjtbu7h/39g+X42CwJAgJGKNZWV5Gkaf48GVzjWEoI4jg5sk+JOqcSfo2vQH6+BbqEUgLmMDBGsX9wAJ4pjcXRkSCEwmEMKysNFWWVZej3I7TbHXS7PQghwCgFcxhWGg0kSYJ2R1WPXeT+MsdB4PvwAx97e/tHnh9UNIoDz3WRJCmY46AWhuj3+0izDEmSwvM87afDEEUJOt2eNr0Oj+/K5KVMMY16Tfs9csRJrKNiyjTtxxyltSBU+0kqC8A5KK437UYUJ9Q5jjj1W0eHxxmvegORgwFYCKFV5yovQh4NUbEtjFJQou28Az3o5O0ZAyHqvEQnmBoWYmQueStnNlnpBSxe3zxSMWNssIopuWaj9jUq2JkXOAWHMRBKkaWLOSpPI1dR6v4r2l6nwRgDoxSeqxxnx73PiZ44h5+h5bmbTDqQtgEzOhwOO8eJlalSALo/zGBTIo/kx2aMwVyzUUgbWzSAuZ0WGaVwHAbPU34YnAsUX5VFjjmZJdpqNFkhOmpoD6KK/TFHheQXTz14Z8RcCxSzFWNM3bOUTlxkqFjBaR7MA/8Os/hijFbyPyjzRRn6WptgeMGMRQvJ88xYSgXNo5IWwazUpZR5IMKse5z7oAFjWuy87XLQN5TRfNwv+lqYe0dAkGXZwMejcH5tgAS0Y2oeAUaU/xjnYqJZuIoP0aDRQztW+WJ+CnOzil5llXY70wLJ8ih5KEfuDSUU9VoIQii63a42YYyaYJQKv9fv54eQ/X6l1at5WVzXVQ+myYOS71b+VoehD0qpzg3BkXGO/YPDIWHNTABqdZGi2+vl5yz+exQI1CrPTFJGq1DERB01myvo9/vo9yPkasRJl1lyIjMg1sIaPM9VzqSFgXrURjyvc6mUEmmWIuOZnkCN6nHyZGDOGfg+fN+HoyeWYq4JQJmP+v0IcRwjH68m3uPlQchAWDL+QfPedykl+lGkhAkJNJsryNIsNxWNbqtMPGowF1pNTgng+yp8GRJodzpjprLR4xS/830fnuch8H096Is8jPX2WSSON0RKlffk4OBA/z0wP5nvCSFwHUe7EqiJiUAJ3iuNOuI4QZpmSNJkmtw5hNBaOaLD36dqjQrmh+GxgYALAarbVK/X1LPQjxAbE/U8yNE/lWbrsNXKz+8whkCnWTg4VM7iSZogOageuVN6ainzXDfdbrmWpehcyxhDrRaCUYqDw1Zp35mcK6qvldnp8PCwcKkqqkVpEkelsZFfCXREZoI4SeHoyJbA95EmKTikkVxGDlOi6a0iVFQSTko3mHlY49/iug489xxU+z0pKCHwXBcZ54DkY/ZLCaM2P0JchRxMVvnzNmWiUqt2NjCvcIHmSgOUMhy2Wkr6lzIf6FQytCTPPrlMYQRArm4GURFIZcl2qC6cFseJinYpvbLpGGHEcRi44Ijjgi0eAKFU2Z7rNbTbHaQLhg4aISKKolzDNEtFbfJeZFmGXq8HzrUjXmFFF9YCODpBUafTRZYdTUtUFSn1oFjVYXoKZlLLsgz9aFwYKZ6zVxB+hRCqj0a0dEU7c6NeR60W4uCwpfL2jGjzhDbJpmkKphOTbW5soNVuK5+G20YoGWWSwCT1JJkgy1LESTy4ZikBHUWYJtlAMzDPNUqJbrcHx3EQhgE8zwXnHN1ub2gzM0ZsbKwjjhO16OLDY0Wapmh3Osocqd914xtzpHFE6nMU5jteyBlFtd+NyHOSLL56HzaPzOhKqfLDZFkGoQW6YmRSEfOsGm1dWV6OcX++kuswlyeNoMa1FjIdaF3OCBLKxyXLssomyHMlkFBC4HquSuwkBVzHUZKtEENx0uO6iEFSqNHl/EKPx5SdBi/dbAhRQoyxn5vPzGSaP7x6JZ5mfPg6l/Rwm4nYOHqOq5WN8AM9kZmIouE2zgvnHBzqXJQQUJ1VUg2YdPYBKuC66hnhRqiZsXAQnCOTKGTCFUMbGhsxUHyUTmaQmd+EOU7RR4vzCVkeC5SZB4UQwITdCCEqMdYEhBDIeAaaKoc/xpjKNGpmxxPqy2UzzcxphD+l1SobH8jQP4Md1ZYZ5wCUIEhKNxxgzCSTQm9NHifV7+MpF8yIOJcJAVo75LmQeuwwgmc545O666pnIJsgMIyeizEGlzHEOrHXpKfGPOdGGDROsZ7nIeMcnGf5uCalhOM4oNqkOXshVH4fi31HC8718/q6DJuD5tSWjDcLZf0+85BS+elVzUNybgQSSil8z8WVy5dwcHiIfhRhc12tBqIoGnIAlVo6zb2D9QqgudIAJQT9KIKYEHBzUpgXxWgaKKU4bLUHvg+FgSLLMx4OXpzjaE+aFjUjg8Jl5nScZxDCfLiYQDRYrWW5NzohBJ7vwfc8rK6uotfvY//gQIfDLX6tjDFcvXwZURxjf/8AiQ5DHW+U+p/SQiRTrksiiiOQZODhf5ZWPICelDgHRlbP8+yfZtkg41LhGFJKdHvKGXtS3yh1OxDH8WCh4Dj54F85ZP6MYFIDRHGk/55kMgSK045ZIACAFBKZzNBud1AiZ+THzbIMO7t7AKYLr/m4QwbvMjA8Ac6L67q4dOEC+v0+4jhGt9dX9zpJpx7bCE8b6+tglGpNWayFsGGMFpdSimZzBetra3jx+ouI9Sp++LiDa0uSdOgYnu/hritX0Gq3cwdfQGln15pNJYxwjlarVdqOaZgij6adYRjA9zzUaiFubm/rdPN3LnewQDJqZFMqwO3dXWWLExwHB4fKF4Tz/ObXazXs7O7nKwGTrZQLgf39w9zeOfdEV2nz2RuVrlx0+/K/S8wxxqnwJGg0anCYStXe6XZ1yN5w246COcbKSgNBEKDb64FzgV4UqWgm7cNyFGGE6BXl9vaudlQedpwdCmkdEq6mn3M098NRKMvDUbbNcTj8HnX/SccYSok/uvqWw2H0BBKEElApsLmxDtd1VYKpRRML3qbMvpaBadbzPdRrIYRQflBF/54yIWKUUTPNou2qkhelSJZl2N3bU2UDCllih85BBvvnwpZUzritdhuEEF0HaVSLpPap12uo1UJ0uz3EcYxbt7aRFMZ5o2l1XRfN5goAYHdvv6DFVYkb0jTDze1tpGmWl1AwV9Xt9bQfiJxr/CGDZoISIAwDrK420el0db4tijAIQEC07x2qKimUeQ2jxq5q40L+vOSLy7JxbrghefI0zD9W3GECybQXRKnTe71evlmfR/n3yuGPKafSgppsUEhI5FqUyg9ahc20AkZPKsMPiXIeHLzappx6Ub0rMS54zDohHXNaq8rwtqpWkMqIyzMVc288wl0dFUAImVuVNPRAmwm/5CDGRGPUo8ZZbeZ1TfjKrLYG71zBB2LkmI52PlRaH1n5GpfiQEyKWRNFbnYcxRTDy7KsxIy2vPZUaW9VwWiWBm/Ud4sIlbeE6cib4ti4TJPk7UTR6XL4vkttjnBAmXLmNsXqpJTajDhsQhxlahp9crTJRrWwfB+V76Y//KyMHJ9AObuac2diIDwZB3r1/IyfFTrKTDkNkzzH0vg1Gh81PTWOXqvOIWN8cPLnVQ/iaZbmu1XtH7PoVVFwyi3AYSwfQyWgi8IOMq2a/hh1RDZa4yLG7EMozZNvMuYMCf/l7TJ+eUoLKaXME/oN9Ul+yoFrgzGezluq5Uynjt+891WgtBhONP1SZtnRhiccBt/3sdKoq8iV/YP5V14zNlVx6QP1vclEaCYc3/PA9eocAGphgNVmE3GivO37/f5YGOHkh0udR+WiYLmNdj675PCxa2GIIAhQq4fY2d5VCXqg1K8AtCZqvj5jjMF1nby+xyyzRtkLOPN8E742lV2VsGds2MUBTv1CKcXly5dACcHO7m5ei+gkMPexXq+jubKCKOojiuOxSBfHceD7Pq5cuojtnV10ut3SweckXn8jGEEL0dkZM1XdTgKJaYvrqpwWZpVeFExyHwnXRRgEKhoqy/DiizeHqijP6xxqjmkqGy/zPlbxcaCUYn1tNReK9g8OR5yj1b8zZ4ESX5tJ+00TpEc9llQUmJcLioPCiTNapAWSer2GRqOhzFZJiiiKRrdEcTwyydDcvEirLgOgF4lSSuU3RAiCwEdzZQW3trdBKcXmxgYOW608j1BZKLWJzHMdFxcubCFNE3Q6XcRJobin8RnSQpzDmHaeVv1wS2uYOc+w++x37+zU8cZSOvGrsY+qvzxcqBTwrXan1C+jyvkmf6Fi+Gu1AJRSneJ6sJ3ruvC0pqYY0ZOmGTrdLjxPhfqa0OOqfiEm6VotDNFud2ZuP+PCVC0OnV4+y7hawTgMvudBCDlUTbcKKmrCRRiGaHc6QxlWTUi0uVYjpElgbCWlSqarqrhSV1JlemUEOVlq930fge+j2+uBUiWgmBevOPBJKdE6bAFE5RSommNmGRiBNY5jHErlIJyn1C7AOUcSx9je2UG/kGBv0v0wTsEqt4TQK7LlwChFLQzVc6LNaWeJWc+wqbIquBagFziHo59PAuQ5KsrOw3SIv+s4Wpur/i5LA08pQRgqk2aSJCXj37janUz4Fhi8g4AE5wJZNjnCal7G82qMtkZdl9KiGA3EeObrUkbCWYe3q75IHW/z+LZGGPR9X2tRJj/rJsUDoPz84iSFaLd1xE7ZfDO6mFDtN+ethaHK3JqmaNRqILqsShRFSJM0r68GwrF/eIgkSXRuE5T6g0tp8mplONBhzAAQ+B6yjKvSAYWmCSHyQn6DZ1JOdJIu44wLJCPMpbyYvYqeagKYSwAZhmjVp+d6SiBBb0jFx0yImRiOREmzDLIv84l53oKBKnW10kAMTBCLa3xMqFscq7wIKkmbVjuifPU0zbZM6CBSxlyXOQbRnu2mDgjP1bpjB1IDguepCUKqCAOlqqWqiqjOXzF0dkLguqoycK/f1yHKA/XoqEBicrlMHgWrs8gqc5Z5SgiBVAoctgYq5GmoaqGq71VY7fIEEkJJLtzROTVmRoVvfi9qApexOh9KeCfnWbIMUJEVBBmyuRYIBjOJmRwxfEQANts4jjPoR22yY5SCTxzsVR6YKGojSZKpU685BCU07+/BYqiQ0yh38p/zuZ1TySQL/1e7q3s/yDZ7RE11aeTIJKo33ggHRdNSWT+Z9830talEPzAjVWmXzO+DlCrCJ9XmWcZUzidCqcpfk6VI8vxYEp1OJ7+uIfP4CKoMWIZOp6vMSK4Lz3MG47K+LybCkmvtUGbSLeTXXu1+3VkCyRI5bpWy4Bz9fl/lBwh8HbmjJsm+jvoZxdzkeCfBuKQ/HSPAtDsddLrd5VzfyKBk2hdF/bnnaYnhhEXD9kk1GNdroXZg1TlMSs7huV7+09dmDEpIXmhRqUHHVx6u4ygbsC6bHgQBwiBAlnXL23uKJoeq567aRKK1I67rwnFGQ9uPTpKk2NndW6jPTG4Sk8o/ThKkSYpOt7uUIN9mcwWUEHS7PSVgL6DtYlpFTumgcN48qEkMoExVoC5WAQYGq0uTWNB1XURxjE6nO/H6ufaXi6II9XoNYRAiZSmiOJ5oXmSUYm1tTSVSIyR3SDdRJlmW4rB1WNjj5ExZo06stytRFCOKYnRm+EwZLW8tDOH5HjKe5dV+5/XrM+NmMQ/Pre3dXIAIAh/KhygZyaE1+zyD8hgCibYajKSwGWwrJDKRqYrgJddbhTMtkEwTcqlOkEUA9LXpgBBVI8BURkzKnJrKOJI2pPzBlDB+UFLbgUfVcdMf5qMwquoca9hRjj2noASM+4GYv/PrlMiTOSVpqhxoR07i6vwjgR/o0DmzrxrKjD22LFMlJSbOXwB6lWte3tHkXIxR+J6vniFe/Rkyg4ME8sRe+fm1SQME6B2xMvWiqORLCbKMjvgZlEMKQp4EdObZ5T+zUioncvPOFqMXltFDQghA56xZ9HhJkoBQotu6mPnOOB4bvy7TX2EQgDKqQ+ozcJ10MFe1T8GYmrOMg1E5pG2atL0yZyrTnUI7XDLlXxX4Pnr9vjaZTmvByHnm2HQWU7Ws2l9CaYaiyab2udozbtqa2cYZz7tZIJpEeHIOx/gq55RSIuPqkI7jQAqdYG4Bc6l525gWiE0Zg7hQAT6PfjN3Z8FrOdsCyYQESsYptBaGIIBOfjOwqWZZhozz6ZPJER8O8/IbB6dJD6iUEvFIevHlM+W4S1GULHYQYzNXHuA6/l5/l+dNEeoR55yjo1M9Dz/xxtyifGPCMATPsqE+lVCq3jFBRD8/xfukiuepexKXFGlhVDltca7CyPOaFDPuHXMcvVJRE5gpSGee1Xq9BkLI3AUVl4EZHOdxzFUDf5Dvb1LkL0dMyM+ijy/yyTrjqhT99FVe9RmOZxyCzheiOUrZczIvoyYyM8D7gQ+HOZCyhyRJ54paMIshnmWAjrYxzxswbE6Q0oS0pvo9oGphoQV6Rik8z8XKSkMtCmY6tE76ruTezLHpVPT2YRDCcRxkaYp0kXG1xAxc8cvBpwUzI1BuuuF6Uk9ICpPvihKyNAd5lWVW+ZkBqlYSwcjYMkcfm/IDZg4t5mcBzHheEEyK56l4C860QFLzQ/TicdMG1Tbrbq+XPwiEqrCnKI7zipLHBaUEDnNQr9XQbK7g5vaOio8vxPgrP4T+0N/nkbBWQ6NeQ6NeH3p5b9zcRhzHyERZhtSiOUe9U0KvNtJM9XOWZuCCl65YjT/KpYsXVCIlU1vGHH3KvRBSJT8rqver3DueZYjiRBcVHB9wjLB10sLIoih7vknWdbwmrMD386iBKIr05L2c8+V1p26zPjca3X6/D0po7lcyTztzB+gkGVogmWf/8LCFXq+XL8yklHl/jGJ8xVqtdp4X46QiyyojJUAIur0uGK1WzO248TwXG+vr6PZ6eRLOIkKqUF1GKVYadaysNLC9s6vni+VUU+5HfUCSI78xQogh4dtxWF4k1Pjgua6L1WYThweH6PX7cwv6Z1ogSbOsdFwyIa1KwC/U0NAT/8QXe0LfMUbzEt6q8FE80SyRa0SJSmPcjyIVhTGiTiv+u1xmHHPG1/VaDZQS9KN4Yj8dJSPjKEKoOg19Gql7BKlrnWQoT5NdDhcC0AOrECpefqoJQYh8cjNVRiduW7Dlm4JRJpy56j00jl4mZLJ4bHNM8/dpTI7KoVcVrOMZVwXcAJQvoZRZLo90OmaBJA/Hzs2aM40VlY9dvd3L81swofee72nb/+Tsm1nGQUi1Z61WC0GgIvMinTOpONYYgYRr/7UybctUYVybMpWJ4QQiy6opI0Y2l4VUCMg1pINDLHAf59KYqA1Mf3OuxhnV1+V9Zu5Tkqbo9aOhto8dec4QdBORVHYRY2HSJZYpVdzPzf2jjOkQKC6eJIBBqHMcK3M3GZy8MmdaIImTOM9DUnzopJBIZr0wM/tpYBJwHAerzZXcxjpwOivbT5seCJCkiRZeVFuoDuNdLhWOV2ETM1itrq6oCJ/dPcSxRMaXoEmacv40ycCznloJ6vwCQqhiYzNrUuRth66rYrQps0UmUxW5WCyryuRU9D2aZxLmQoBPUO2rgf4oA3yZjXu+58z3PGysrSGKI0RRlAsko+OfLIxeY4mllv1oE3VAquvVgOrET7POcyw+j4te3HhjTFXstdUm2p3uRIHEjDdVMNW8KdFh20kyFl5tJr40TbGnM5BOWhyNTnzTzHq5b0rBt2fSu2FCQIvPUfmECVTyQxl7Pqf32aK1dia2o/Qwpk+hQ2ZbQwnlylBCYpQ/C9O2NWZuFBbZpdvlztDjZiNCTAZXkt+voVFT/+q5Km09Ywx9vYBL84VIcZEtkHE9zmnNDmV0bifxMy2QnAS+56JeC7G2uoqbt7bR6/cmPgSEKInScz1cvnQRvX4fu3v7uHjhAoQQaHe6ugrsskbu5Ryn6Oy2vbMHQnSI8bSsjUvA2LdV7DrBxYsXIAEkcYKDw9nOos3VJmq1GrI0Q6/fG0sONu28RjNRFRXtUUMQBFhp1PHizVt3VF2JfhTh5q1buQ+NgVKKwPexsaFqhTz7/AulSZSOBX2ane1dmDT5ywxHPi2MD0aka/YsAykl9vb38zDMablepJRLNVm7roN77roL7U4H3W5votmnyNUrl0AJxf7BQV676M5j4OBf5fqqjEdG8+K4Lnzfw8WtLezu7aHd7oxN/mbbWhjAD3zUazXcuLmd+69tbmzAcR10Ot1cWzz6ZvejSDtt0xEBZHwMMJaIDBk219cRBD52d/eVz9x5KK4nMSLVzd5hDJP63PM87aijbpbpbxMF0+l2ESdJbjMrI4/fFwJRHOkMeAKJVmGp6JC5LnHouBh1FBq5jjBQidZ6vb6qDDpl4jA1G4IgyAcEoUttjzkkzdFOx3HySKZer1/S53LsLyklIGjutV0WCVMGzzhSrUJmlKEWhrlpZNqAO++1OY6DwPfRaDTgua7Wyg3H8B+V4op0XudQk8ci8INBv086vtEejazyBBdIxeB9ooTk23EukCQpKB34IeTXPcflF32EqjK64p26ctSDrwltjOJ4YvschyEIgtwXKE0qRtzNvbAu0/fraByhxjBTAgCYruE2K2NZogFU/bS8SX3WGFfEJEFM04Ff1fB2cmg8BVQouDEfTb+nwNR3Ter7XgtBKNWRYtnUyX0or40wWp0FzToztDaUUvi+l7dfCJEnwTMRdfMipczzKUVxpOYkKE3IaD8rzZZAlmZDpQOUUKoSW/JSJ3Hd50Kl6CdUDPplSpPNNSZpCkJVTp155ukznTp+454fGkkdP0KFK/N9D2EQYG1tFZ1OB7t7+2rXQreMTxbjqKRjtKBGE7n5YVHM4G+yZ05a1Zsok6uXL8HzPPzls8+PhauObu84DporDVy+dBHPv/AielE/L4K3qI+I6zgIwxCbmxvgWYbnnr8+9+S6KKurTTRXVpCmGXq9HlrtNoDlCAwrKw1sbW7mZQTa7Q5ube/k9TMWY/DiE2IifgYC7dTQ7JFDOK6DMAhw6eIFpFmGZ599HiZ/AACVcI5S5fxrNCDTJj79LOeq3EIfOg7TURjqvlbt3tHojnm0U1VxHQdXrlzKfXJube9OvP/1eh2XL17Q1YVjHBYyUU5ldK6q+ngNTVK6rorrAXI4nb4o9ZPRtbVMNJiUY/flpChLY1AmpJj7rbYXlVKoTzrfcILC8cJ5hBDce8/dcB0HewcH6PZ6Y9lrR9tq2jYrkd1Rc554voetzQ0AyENlG406GGN47vnrS3FiN/OEWTBIOe4cv4A7R/EMR95ECI695/7fzNTxd65AUvGqKFWDL3Oc3A9h2gtnsvCZgV0IAc914Xke6vU6er1ennhs0a41GRgbKw2VcIkQ7O3tT1XDUqLC8iihiLVmZprwRHVWVNdxEMeDUFPmOCDATEfPSW1QBQlVPZhBnPrxP2IqPl45PhYzXS7j8Tap6E2kh+AcSTp9FTabYYF3Y30NjuMgimL0+v3cP8MMNo5+PoeETDnY39SLkbIYgqtYXW0iCALEcYx+P0KcTNYcACqF/mpzRWkO0hTtdgeuo7LYbm5tYm9vP69CWhVCCDY31+EwB71ev5DLYnmoCBIXkMqxvbR4msbUTDLClVFvA9M1DcWJ1uSiqda44WM4joP/73WvAQEQxTFefPEmev2+jrwbHX8oXNdBc2UFnuuh0+sijuKlhBsTQvIibmKCoGjaO8k/Y5KjJaUUly9dRJpm6Ha7eXHSeaCUoF6rwfN8uK6L7e2d0no8ge/DcV0EvgfGGLgQ2N3dK11cEULg+z7CIIDjMERxPLWUxjShxPSNSRkwNndQkqeIl3KgESOE6Pd09hhlNKDSLEpL3QXUONFo1FGv1dDt9vJoUgJMvLfVqCiUTdmsqkBypk02E5l4f8e/kBJD9TVGpUpC6GACpxSUqFjsOIkhtPnGrCSFDjM9qjDiebqWjTlu0eFowmGFHE9UY/J8FLPzmesw/hvGPEKIqujoe0q92I8ikFHV8IxLMtc+GLROTtYtc7g7yj0oHoMLAV7UhpSozEfJi1vlA87kPZQKVuaakVzbBvX8UUoQ+n4uaFKij42BN/60PCJGI5E/l7Manw96OoMoNQ50KrxaLrDaNat/QcoFZaMJNCaN8loes89RfAemUewvU9XbddVwmGUTUlHm26qCYxnPEPGKWrKiJlwqVXiaKrNFlg3GjbKbQ6maQB2HabV8UQVeZhIaxwhS5hlQWlflJOx5Xq6lSSYIOb7naROeHCuYOel+Apg4UVdFauFSSFVsc1I9njiJkXGuniFCBlFApVYeZfIY5FuZ3rbxOjvDfVysCD+6GJBC6rT9xOw88SyTNqBaIGG6sGFUopnNTTRi2ARDoBYY3CR7nFMoKYaLm2dnYnfJ0ubPd747UkMyh0AyiUHMvqseBp2lUFXoZdjb28/znCwLc761tVXUayFeuH5jWPVY4VRmIHAcJ5/UTCI4QlRBJ9dzEcfJUISJSs1eQ62m/DC2d3bHBatKl3o6j9MyfTlMYUMQMjMD6fj+2p8nDJClSuATo/04aV/9NruukwtFpvbQ+vo6Dg8PcXDYQhiGWkuTLClXQTme5+btOM6KxkZIDsMw/6zf7xdMQ8eLqlAaotlsghDg+ReuT9zW9z0EQYDV5gp6/T52dvaW15AJg7nJGxJFMeI4zs2RVQ9ixi/HcfIFSBj4SFKlDd7a3MhDOg8OD4cmLTOeXL1yGQBweNiq7IQ6b4jqMhj4Kc3a8AjnKOxMCcHa+hocnXhue2d3dt9MPff4l6q8SIBmswEuBG7e3K40nph6R1cuX0aWpTg4OMwTRlbFPDeUkFxjCkzp3wnXdi40JJ7rgTKmpPqxDjraQGZWTasrTTiuckLqdlUkBxcq1nr5spzSLhwcHKLdbg+EkblOozYOwwCB76Pd7aiCkwQIwxC+78HzfTCqB3wpEMdxLgF3u708E+Z0x8XTsV97ngeqBYWqE/2856g36rnTWLmfyORzMqaSA600GrpUdzKjH4tHlQABgiCA53rKOz1NkPRSVV5ASvi+j7uuXkG328H2zi5c1xvSkCyzPwKt0lY26W7uRW8ElX4/WjhVehFKVVr9tbXV/Dk04fVSTDfrzBvkXKZ+50KokMYKJiTzTHS7bCxTJTAsTKbzmvXKLoIAWZphZ2cXnIsKxyvTVgCuw7C+vor9gxayLENYq4Hpomt7+wfK561E82W0p7t7ewDITIfR0X3V+ZX/i+/7ECUmxWUy/biFey/LP650jsLOAkCn3ckXMKqwnTKFm2rsYwLKVKXW+Jdc57PKsnSuUdfcp53dXUipKnjP2++m/c3VVaRZhh6ghZIJD+sR+hU44wKJwxjkiDf3PBhbHlCeIXPg4D2I34+TpHIUyGTK9zXOSPkLO/cplDrNmGpA9IBCKRyifEYo1UmZPE9lDRXqQTUqc5OFdFwjvPyJv6gKHC2fXra98pNwlJ9MHB/FS6sS457n1VCPTMHxcJ7dC/0tYcq8q0nA1aF+ge8hjp1cmyOlRILpoYWLOCpTqlTFgH52hACB0rKZvARHfSwoVdWhqa6OCllwpK14f5nDcj+Qqur33BFQm6Ly6qQaQoejiVSEizIp5X4nGHfyNNoIE0FSNncXn/2Z5gypTKH9/nhGahB1PtNnk4RDY1bODyiVycJE01WpQ7SMEHdXmxyMw/00U89xYTSYyjomyx285wmykXKsBInx+aCMVSvJMHUSHyQh5HyQiLAqQieANG2dxKR+Hx2bp9+ekQuRE76awpkWSDzPRbc3/6BoBoPA93OhZNT8Yh6k6NY2gOWZBGaxmCCi9y0c46DVAmmT3Hzg+74uOS3BGEOtFuZZBD09wTQaDcTx3sCp7xgvWdnslaNokqQzI1ZMPoxQ1085bB2PqUIIgT0daaWYrxOyNFN5USrmRCmj1RpWyROinvUgCBCGAQ5bLXQ6XaRphvX1dQgutElueoXReTEDret5CHwfruOo1XUYwHXdGaaD2ZjoMM9zwSjF8y9cn9vGzRz13KqKp9lEH4ix/XSoP2MMggt0e8N+I2EQwnXd/HiUEDCHacd3jsZKXTsJ94eLLzqOcnJ3XfUslDjIOo4Dz/NAoPL9LBqtRUCw0mggy5TvR5qmpYKnqfzbK1zj9s7oOY9PEJBSgmvtnlncnU7uEeXkoMYQJQwu4mg7flQ5/jchaNTDKVrW+c4AGEFk/vt01OsTQmB7d/dIx6jKmRZITJrdRVawTE/UaapVw8YpqOLNUw5mqipmMZ3uODP19AtRdcXreR4YVWp3lYwpRpZm6HZZQdUv8hXduDrueKSSWi3ESqOhBvRsdkSMqaMwLdJoMSYtjya0ZUZ3uK6rNHfa/Lac3BDKk99xlDkgjhOVLVgKHB4eau2dTku/hPtlCmiFQQDP81ALQ/QjVe9nb7+PVqutKofOyPXAKEUQBBBCTEyWxRiFw5xCdVm1bxiGuelmWrQMoKJETLVU44AOqDowo9fle56aCI3GzXHAyfh1UELgMArhDFLWu64HIWJkWYzdvX0InbvHD3yd00JlSE3TFH1KkWTlAoJpo+M4c5m8jJawXq/l+TYYpYADSKmExUrJDCdmF5307C9HWDECbNF3bawVo1rqkiW5uY9ppgotzvuOFbWNUWwEknFzDtEaKNdTPmVVFxlGCFHlL2TuyFyJCZaQOTZYiOFgjmXc78VsN2daIEmSZCgiYl5M9jkT6jufs4+T24vHHQsXm8wmsXg1XZ0sBypUVQgJIdKhAV6nCCqoj8UgVp/ofSuuWs2AqfxetIBXvI6CTdkkZauiTjTfq1VwxQRWgz0rbzmmSl/AoVJl6nW1/ViCEKHNZ4M6IpNbWn4+U1ZdmanJUCRXlayY82DC2lVIpKPDY11V2Vg7tpprYDr8Xan/x4/DGIPvKwFgejuL0Ug6MkBHfkCrqyc+H4X31piwHMcBoSSv52JgVNWkSlJTCTpfe05o0/C3JuqNc46uLoZowmbNc9/v92cKzYPEgzL/e5RJoaYmAWIxcopA3QszFs58XyfMaQTIq27n5oyJO4zsXIHRwnJVKLvvKhLRU/41GRYSSKSUeUp1faax7YhOY2CSIUb9WAmQxQdiQpvTLEWazR6rKuU5mUtIWa5wAixDQBk867M40wLJojO8kBIiU45ikPNP94QQBIEPz3XnzsdwkgihnFRzJj7YUidKWymElqoJRUiJVqs181yu68L3PNTrNewfHOoka+U9q0qDZ+h0OjhstZeej2JRTD4Z13URRdFCZhejju9HEUyH+74P11PH3tvbn/t5EVKo1SVRx2o06uBCoN2ZnDthUcx9d10Xh60WhJDodLrKVKHt/sbzfmN9Dd1uD91ubyQ3hHqsVD4dhklKACmlykky1s8D3xVCpj8bGefY2d0D0ftsbq6jXqvBcRwcHByOrfyU5oYhTVP0+j1ouWKMTrcHdIfNON1JG2tBnOrEiLNIkqSyaalIbs8nxlfFwcFhS4Uhuy5WV5uI4xidzoR2VsBU3ZYAOu32MdTeOjrG0dJzPe1PVr0vpVQZfKM4BmZYHI3mMQjUMxP4PpI0vW3GqzuRMy6QLMZRbGpmuImiGGmipODBBFNy3CO+zxNXzXpwDcNAOdGB6NT2JeajsUMMS9Sep7LVrq42sbOzi0wIeL4PLnhuTpmFWpVSrTYeOOqV9bWpNmpqeizP72GO45RsSgjNi5MtKmTGcZyHWRtNAqFq+VlUz88rBkupSg/EcawmtDkG4XlQURApWq12HklmtCBCm0UgjZMnQRAEYJSh3e1AFKJAhM6z0el0h1eVGleH0xNCVCG4wnMmoQTpovZytuVT5pkwCaFwGANG9ssyrsoqCAEh+MyVbiWkuudpIcpiGUzSmggtiPJMmVqFFBBCad5M+PQivkQOc+C5DgLfU+ZdIWA0JYUGTGztOEdfqXueB891EOs087SQSyWKoplmw6MQ6DIcnGfaDDeekt4sYFQFZDEmlI9CKYHn6arxxpkYcrFssBOVItXMbZRSBIEPApL70Ux6ZqqYc8Y/L/q9VOdMCiSDJDAcizyOi06AZuUACUTRIKOiNB+WnmyhU80+gI6a8fXKG0A+0MrRCWCaBz1RqmzXDEZCqPAy31N5NLJ0vNR4yTNJVIiQmpB5lu9TKpAIgX6WFXIGTFARzq29OppAIqUqq84zAZ5l49ddgbgYjZBfhoDgHJmOhDARDvOSZgmiPoEQEnGaHEsJeAkg5coXQv0t1e+F5krtLyE4h8MoWOCh2yPgOnrDHEdwPrFGDKMUnq7pkaUjzxgh6C+Q40dIiSjqQ3CeO6sWj5GlKbKySs0Lzp0EyqSZRPHMYyxH6CaQBOiOaEB07IVKJqfNrvOaGylBnkujWKZi+L7M19aj4jAKz/eQ8QwUVGuFVL2aozuKToEALmNgDkMiVV2yYVOrujZGKXzPVQVCBYecIZBIwuA6avHIhUCkt5clfVWc4Gc+O3PmNVGLWZrnW+pHfTVGVRhPygQS9dlIjSsM1y8yfTPrWs5kYrTnn38e99xzz2k3w2KxWCwWS0Wee+453H333RO/P5MCiRACTz31FF796lfjueeem5r5zTKg1WrhnnvusX02B7bP5sf22fzYPpsf22fzc1p9JqVEu93G1atXpwainEmTDaUUd911FwCg2Wzah3FObJ/Nj+2z+bF9Nj+2z+bH9tn8nEafra6uztxm8ZhZi8VisVgsliVhBRKLxWKxWCynzpkVSHzfx4c+9CGdjthSBdtn82P7bH5sn82P7bP5sX02P7d7n51Jp1aLxWKxWCx3FmdWQ2KxWCwWi+XOwQokFovFYrFYTh0rkFgsFovFYjl1rEBisVgsFovl1DmTAslv/dZv4SUveQmCIMADDzyAP/mTPzntJt02/Kt/9a/ywnvm51WvelX+fRRFePTRR7G5uYlGo4F3vOMduHnz5im2+OT58pe/jL/9t/82rl69CkII/vt//+9D30sp8cEPfhBXrlxBGIZ46KGH8L3vfW9om729PbzrXe9Cs9nE2toafu7nfg6dY6i+e7swq89+9md/duy5e/Ob3zy0zXnrsw9/+MP4sR/7MaysrODixYv4qZ/6KTz11FND21R5H5999lm89a1vRa1Ww8WLF/H+97//jq04W6XP3vSmN409a7/wC78wtM156rOPfvSjeN3rXpcnO7t27Ro+97nP5d+fpWfszAkk//k//2e8733vw4c+9CH86Z/+KV7/+tfjkUcewa1bt067abcNP/IjP4IXX3wx//mjP/qj/Ltf+qVfwu///u/jU5/6FB5//HFcv34db3/720+xtSdPt9vF61//evzWb/1W6fcf+chH8Ju/+Zv42Mc+hq9+9auo1+t45JFHEEVRvs273vUufOc738HnP/95fPazn8WXv/xl/PzP//xJXcKJM6vPAODNb37z0HP3e7/3e0Pfn7c+e/zxx/Hoo4/iK1/5Cj7/+c8jTVM8/PDD6HYHxfFmvY+cc7z1rW9FkiT44z/+Y3ziE5/Axz/+cXzwgx88jUs6dqr0GQC85z3vGXrWPvKRj+Tfnbc+u/vuu/Ebv/EbePLJJ/G1r30Nf/Nv/k287W1vw3e+8x0AZ+wZk2eMH//xH5ePPvpo/jfnXF69elV++MMfPsVW3T586EMfkq9//etLvzs4OJCu68pPfepT+Wd//ud/LgHIJ5544oRaeHsBQH7605/O/xZCyMuXL8t/82/+Tf7ZwcGB9H1f/t7v/Z6UUso/+7M/kwDk//2//zff5nOf+5wkhMgXXnjhxNp+Woz2mZRSvvvd75Zve9vbJu5z3vtMSilv3bolAcjHH39cSlntffwf/+N/SEqpvHHjRr7NRz/6UdlsNmUcxyd7AafAaJ9JKeVf/+t/Xf6Tf/JPJu5z3vtMSinX19flf/pP/+nMPWNnSkOSJAmefPJJPPTQQ/lnlFI89NBDeOKJJ06xZbcX3/ve93D16lW89KUvxbve9S48++yzAIAnn3wSaZoO9d+rXvUq3Hvvvbb/NM888wxu3Lgx1Eerq6t44IEH8j564oknsLa2hr/6V/9qvs1DDz0ESim++tWvnnibbxe+9KUv4eLFi3jlK1+J9773vdjd3c2/s30GHB4eAgA2NjYAVHsfn3jiCbz2ta/FpUuX8m0eeeQRtFqtfAV8JzPaZ4bf+Z3fwdbWFl7zmtfgAx/4AHq9Xv7dee4zzjk++clPotvt4tq1a2fuGTtTxfV2dnbAOR/qOAC4dOkSvvvd755Sq24vHnjgAXz84x/HK1/5Srz44ov4tV/7Nfy1v/bX8O1vfxs3btyA53lYW1sb2ufSpUu4cePG6TT4NsP0Q9kzZr67ceMGLl68OPS94zjY2Ng4t/345je/GW9/+9tx//334/vf/z7++T//53jLW96CJ554Aoyxc99nQgj84i/+In7yJ38Sr3nNawCg0vt448aN0mfRfHcnU9ZnAPD3/t7fw3333YerV6/im9/8Jn7lV34FTz31FP7bf/tvAM5nn33rW9/CtWvXEEURGo0GPv3pT+PVr341vvGNb5ypZ+xMCSSW2bzlLW/Jf3/d616HBx54APfddx/+y3/5LwjD8BRbZrmTeec735n//trXvhave93r8LKXvQxf+tKX8OCDD55iy24PHn30UXz7298e8ueyTGdSnxX9jl772tfiypUrePDBB/H9738fL3vZy066mbcFr3zlK/GNb3wDh4eH+K//9b/i3e9+Nx5//PHTbtbcnCmTzdbWFhhjYx7CN2/exOXLl0+pVbc3a2tr+KEf+iE8/fTTuHz5MpIkwcHBwdA2tv8GmH6Y9oxdvnx5zIk6yzLs7e3ZftS89KUvxdbWFp5++mkA57vPHnvsMXz2s5/FH/7hH+Luu+/OP6/yPl6+fLn0WTTf3alM6rMyHnjgAQAYetbOW595noeXv/zleMMb3oAPf/jDeP3rX49//+///Zl7xs6UQOJ5Ht7whjfgC1/4Qv6ZEAJf+MIXcO3atVNs2e1Lp9PB97//fVy5cgVveMMb4LruUP899dRTePbZZ23/ae6//35cvnx5qI9arRa++tWv5n107do1HBwc4Mknn8y3+eIXvwghRD44nneef/557O7u4sqVKwDOZ59JKfHYY4/h05/+NL74xS/i/vvvH/q+yvt47do1fOtb3xoS5j7/+c+j2Wzi1a9+9clcyAkyq8/K+MY3vgEAQ8/aeeqzMoQQiOP47D1jJ+pCuwQ++clPSt/35cc//nH5Z3/2Z/Lnf/7n5dra2pCH8Hnml3/5l+WXvvQl+cwzz8j/83/+j3zooYfk1taWvHXrlpRSyl/4hV+Q9957r/ziF78ov/a1r8lr167Ja9eunXKrT5Z2uy2//vWvy69//esSgPy3//bfyq9//evyL//yL6WUUv7Gb/yGXFtbk5/5zGfkN7/5Tfm2t71N3n///bLf7+fHePOb3yx/9Ed/VH71q1+Vf/RHfyRf8YpXyJ/5mZ85rUs6dqb1Wbvdlv/0n/5T+cQTT8hnnnlG/sEf/IH8K3/lr8hXvOIVMoqi/Bjnrc/e+973ytXVVfmlL31Jvvjii/lPr9fLt5n1PmZZJl/zmtfIhx9+WH7jG9+Q//N//k954cIF+YEPfOA0LunYmdVnTz/9tPz1X/91+bWvfU0+88wz8jOf+Yx86UtfKt/4xjfmxzhvffarv/qr8vHHH5fPPPOM/OY3vyl/9Vd/VRJC5P/+3/9bSnm2nrEzJ5BIKeV/+A//Qd57773S8zz54z/+4/IrX/nKaTfptuGnf/qn5ZUrV6TnefKuu+6SP/3TPy2ffvrp/Pt+vy//0T/6R3J9fV3WajX5d/7O35EvvvjiKbb45PnDP/xDCWDs593vfreUUoX+/st/+S/lpUuXpO/78sEHH5RPPfXU0DF2d3flz/zMz8hGoyGbzab8B//gH8h2u30KV3MyTOuzXq8nH374YXnhwgXpuq6877775Hve856xRcJ567Oy/gIgf/u3fzvfpsr7+IMf/EC+5S1vkWEYyq2tLfnLv/zLMk3TE76ak2FWnz377LPyjW98o9zY2JC+78uXv/zl8v3vf788PDwcOs556rN/+A//obzvvvuk53nywoUL8sEHH8yFESnP1jNGpJTy5PQxFovFYrFYLOOcKR8Si8VisVgsdyZWILFYLBaLxXLqWIHEYrFYLBbLqWMFEovFYrFYLKeOFUgsFovFYrGcOlYgsVgsFovFcupYgcRisVgsFsupYwUSi8VisVgsp44VSCwWi8VisZw6ViCxWCwWi8Vy6liBxGKxWCwWy6ljBRKLxWKxWCynzv8PdDegIafAZl0AAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -136,11 +136,12 @@ } ], "source": [ - "for _ in range(3):\n", + "for i in range(30):\n", " action = env.action_space.sample()\n", " state, reward, terminated, truncated, info = env.step(action=action)\n", - " plt.figure()\n", - " render()" + " if i % 10 == 0:\n", + " plt.figure()\n", + " render()" ] }, { @@ -153,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -166,16 +167,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 36, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -201,12 +202,12 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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" ] @@ -236,11 +237,12 @@ } ], "source": [ - "for _ in range(3):\n", + "for i in range(30):\n", " action = env.action_space.sample()\n", " state, reward, terminated, truncated, info = env.step(action=action)\n", - " plt.figure()\n", - " render()" + " if i % 10 == 0:\n", + " plt.figure()\n", + " render()" ] } ], diff --git a/examples/play_car_racing.py b/examples/play_car_racing.py deleted file mode 100644 index d36b868a..00000000 --- a/examples/play_car_racing.py +++ /dev/null @@ -1,77 +0,0 @@ -""" -Code adapted from gym.envs.box2d.car_racing.py - -Play Car Racing with the new CARL vehicles and test out our contexts yourself! -""" - -import numpy as np -import time -import pygame -from carl.envs.gymnasium.box2d.carl_vehicle_racing import ( - CARLVehicleRacing, - VEHICLE_NAMES, -) - -if __name__ == "__main__": - a = np.array([0.0, 0.0, 0.0]) - - def register_input(): - for event in pygame.event.get(): - if event.type == pygame.KEYDOWN: - if event.key == pygame.K_LEFT: - a[0] = -1.0 - if event.key == pygame.K_RIGHT: - a[0] = +1.0 - if event.key == pygame.K_UP: - a[1] = +1.0 - if event.key == pygame.K_DOWN: - a[2] = +0.8 # set 1.0 for wheels to block to zero rotation - if event.key == pygame.K_RETURN: - global restart - restart = True - if event.key == pygame.K_ESCAPE: - global isopen - isopen = False - - if event.type == pygame.KEYUP: - if event.key == pygame.K_LEFT: - a[0] = 0 - if event.key == pygame.K_RIGHT: - a[0] = 0 - if event.key == pygame.K_UP: - a[1] = 0 - if event.key == pygame.K_DOWN: - a[2] = 0 - - contexts = {i: {"VEHICLE_ID": i} for i in range(len(VEHICLE_NAMES))} - env = CARLVehicleRacing(contexts=contexts) - - record_video = False - if record_video: - from gymnasium.wrappers.record_video import RecordVideo - - env = RecordVideo( - env=env, video_folder="/tmp/video-test", name_prefix="CARLVehicleRacing" - ) - - isopen = True - while isopen: - env.reset() - env.render() - total_reward = 0.0 - steps = 0 - restart = False - while True: - register_input() - s, r, terminated, truncated, info = env.step(a) - done = terminated | truncated - time.sleep(0.025) - total_reward += r - if steps % 200 == 0 or done: - print("\naction " + str(["{:+0.2f}".format(x) for x in a])) - print("step {} total_reward {:+0.2f}".format(steps, total_reward)) - steps += 1 - env.render() - if done or restart or not isopen: - break - env.close() diff --git a/examples/sample_contexts_with_brax.ipynb b/examples/sample_contexts_with_brax.ipynb index 78197e3a..3926c775 100644 --- a/examples/sample_contexts_with_brax.ipynb +++ b/examples/sample_contexts_with_brax.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -43,14 +43,6 @@ "Default context for Ant: {'gravity': -9.8, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}\n", "Context value bounds for friction in Ant: (0.0, 100.0)\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/theeimer/Documents/git/CARL/carl/envs/brax/carl_ant.py:25: RuntimeWarning: invalid value encountered in scalar divide\n", - " \"ang_damping\": UniformFloatContextFeature(\n" - ] } ], "source": [ @@ -69,24 +61,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "{0: {'gravity': 11.564052345967665}, 1: {'gravity': 10.200157208367225}, 2: {'gravity': 10.77873798410574}, 3: {'gravity': 12.04089319920146}, 4: {'gravity': 11.667557990149968}}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/theeimer/Documents/git/CARL/carl/context/sampler.py:44: DeprecationWarning: Prefer using `list(space.values())` over `get_hyperparameters`\n", - " return self.get_hyperparameters()\n", - "/Users/theeimer/Documents/git/CARL/carl/context/sampler.py:58: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`\n", - " contexts = [C.get_dictionary() for C in contexts]\n" + "{0: {'gravity': 11.564052345967665, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 1: {'gravity': 10.200157208367225, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 2: {'gravity': 10.77873798410574, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 3: {'gravity': 12.04089319920146, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 4: {'gravity': 11.667557990149968, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}}\n" ] } ], @@ -112,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -121,7 +103,7 @@ "text": [ "Full context set: {0: {'gravity': 11.564052345967665, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 1: {'gravity': 10.200157208367225, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 2: {'gravity': 10.77873798410574, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 3: {'gravity': 12.04089319920146, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}, 4: {'gravity': 11.667557990149968, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}}\n", "Current context ID: 0\n", - "Current context: {'gravity': 11.564052345967665}\n" + "Current context: {'gravity': 11.564052345967665, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}\n" ] } ], @@ -143,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -151,7 +133,7 @@ "output_type": "stream", "text": [ "Current context ID: 1\n", - "Current context: {'gravity': 10.200157208367225}\n" + "Current context: {'gravity': 10.200157208367225, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}\n" ] } ], @@ -171,7 +153,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -179,7 +161,7 @@ "output_type": "stream", "text": [ "Current context ID: 4\n", - "Current context: {'gravity': 11.667557990149968}\n" + "Current context: {'gravity': 11.667557990149968, 'friction': 1.0, 'elasticity': 0.0, 'ang_damping': -0.05, 'mass_torso': 10.0, 'viscosity': 0.0}\n" ] } ], @@ -199,22 +181,22 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] diff --git a/examples/try_the_lunarlander_solution_heuristic.ipynb b/examples/try_the_lunarlander_solution_heuristic.ipynb index c62753c8..5e608164 100644 --- a/examples/try_the_lunarlander_solution_heuristic.ipynb +++ b/examples/try_the_lunarlander_solution_heuristic.ipynb @@ -13,20 +13,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/bigwork/nhwpeimt/CARL/carl/envs/__init__.py:28: UserWarning: Module dm_control not found. If you want to use these environments, please follow the installation guide.\n", - " warnings.warn(\n", - "/bigwork/nhwpeimt/CARL/carl/envs/__init__.py:28: UserWarning: Module distance not found. If you want to use these environments, please follow the installation guide.\n", - " warnings.warn(\n" - ] - } - ], + "outputs": [], "source": [ "from typing import Union, Optional\n", "import numpy as np\n", @@ -48,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -68,7 +57,7 @@ " s, _ = env.reset(\n", " seed=seed,\n", " )\n", - " s = s[\"state\"]\n", + " s = s[\"obs\"]\n", "\n", " if render:\n", " env.render()\n", @@ -77,7 +66,7 @@ " a = heuristic(env, s)\n", "\n", " s, r, done, truncated, info = env.step(a)\n", - " s = s[\"state\"]\n", + " s = s[\"obs\"]\n", "\n", " total_reward += r\n", "\n", @@ -103,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -123,7 +112,7 @@ " s, _ = env.reset(\n", " seed=seed,\n", " )\n", - " s = s[\"state\"]\n", + " s = s[\"obs\"]\n", "\n", " if render:\n", " env.render()\n", @@ -132,7 +121,7 @@ " a = env.action_space.sample()\n", "\n", " s, r, done, truncated, info = env.step(a)\n", - " s = s[\"state\"]\n", + " s = s[\"obs\"]\n", "\n", " total_reward += r\n", "\n", @@ -159,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -168,27 +157,27 @@ "text": [ "Running LunarLander with gravity 6.63.\n", "Total reward with heuristic: +297.35\n", - "Total reward with random policy: -83.35\n", + "Total reward with random policy: -57.27\n", "\n", "\n", "Running LunarLander with gravity 5.06.\n", "Total reward with heuristic: +260.94\n", - "Total reward with random policy: -292.36\n", + "Total reward with random policy: -190.20\n", "\n", "\n", "Running LunarLander with gravity 5.29.\n", "Total reward with heuristic: +254.62\n", - "Total reward with random policy: -90.59\n", + "Total reward with random policy: -362.63\n", "\n", "\n", "Running LunarLander with gravity 6.65.\n", "Total reward with heuristic: +244.49\n", - "Total reward with random policy: -107.54\n", + "Total reward with random policy: -62.81\n", "\n", "\n", "Running LunarLander with gravity 11.61.\n", "Total reward with heuristic: +265.87\n", - "Total reward with random policy: -408.40\n", + "Total reward with random policy: -174.49\n", "\n", "\n" ] @@ -224,7 +213,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -233,13 +222,13 @@ "Text(0.5, 0, 'Gravity')" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -275,7 +264,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.17" + "version": "3.9.16" }, "orig_nbformat": 4 }, diff --git a/examples/vary_initial_state_distributions_with_classic_control.ipynb b/examples/vary_initial_state_distributions_with_classic_control.ipynb index 08a2e42d..ecb1ba95 100644 --- a/examples/vary_initial_state_distributions_with_classic_control.ipynb +++ b/examples/vary_initial_state_distributions_with_classic_control.ipynb @@ -2,6 +2,12 @@ "cells": [ { "cell_type": "markdown", + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + }, "source": [ "# Initial State Distributions\n", "For the classic control environments the initial state distributions are narrow. With CARL (Contextually Adapative RL)\n", @@ -10,23 +16,23 @@ "\n", "## Collect Initial States\n", "We collect the initial states, once of the classic environments and once of the contextually extended environments." - ], + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": { "collapsed": false, "pycharm": { - "name": "#%% md\n" + "name": "#%%\n" } - } - }, - { - "cell_type": "code", - "execution_count": 3, + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/benjamin/Dokumente/code/tmp/tntcomp/CARL/carl/envs/__init__.py:41: UserWarning: Module 'RNA' not found. Please follow installation guide for RNA environment.\n", + "/home/numina/Documents/repos/CARL/examples/../carl/envs/__init__.py:28: UserWarning: Module distance not found. If you want to use these environments, please follow the installation guide.\n", " warnings.warn(\n" ] }, @@ -34,112 +40,112 @@ "name": "stdout", "output_type": "stream", "text": [ - "CARLCartPoleEnv\n" + "CARLCartPole\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 664.92it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 416.30it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLAcrobotEnv\n" + "CARLAcrobot\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 556.02it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 335.84it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLPendulumEnv\n" + "CARLPendulum\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 424.68it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 279.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLMountainCarEnv\n" + "CARLMountainCar\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 568.95it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 350.04it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLCartPoleEnv\n" + "CARLCartPole\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 613.44it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 449.35it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLAcrobotEnv\n" + "CARLAcrobot\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 559.27it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 331.15it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLPendulumEnv\n" + "CARLPendulum\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 415.69it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 254.04it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CARLMountainCarEnv\n" + "CARLMountainCar\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 50/50 [00:00<00:00, 564.50it/s]\n" + "100%|██████████| 50/50 [00:00<00:00, 329.27it/s]\n" ] } ], @@ -149,7 +155,7 @@ "import importlib\n", "import carl.envs\n", "importlib.reload(carl.envs)\n", - "from carl.envs import CARLCartPoleEnv, CARLAcrobotEnv, CARLMountainCarEnv, CARLPendulumEnv\n", + "from carl.envs import CARLCartPole, CARLAcrobot, CARLMountainCar, CARLPendulum\n", "import numpy as np\n", "from tqdm import tqdm\n", "from typing import Dict\n", @@ -164,9 +170,9 @@ " _renders = []\n", " _states = []\n", " for i in tqdm(range(n_initial_states)):\n", - " s = env.reset()\n", - " _states.append(s)\n", - " _renders.append(env.render(mode=\"rgb_array\"))\n", + " s, _ = env.reset()\n", + " _states.append(s[\"obs\"])\n", + " _renders.append(env.render())\n", " renders[env_cls.__name__] = _renders\n", " states[env_cls.__name__] = np.array(_states)\n", " return renders, states\n", @@ -187,16 +193,16 @@ " initial_velocity_lower = np.random.uniform(- 1, 0)\n", " initial_velocity_upper = np.random.uniform(min(0,initial_velocity_lower), 1)\n", " context = {\n", - " \"initial_angle_lower\": initial_angle_lower,\n", - " \"initial_angle_upper\": initial_angle_upper,\n", - " \"initial_velocity_lower\": initial_velocity_lower,\n", - " \"initial_velocity_upper\": initial_velocity_upper,\n", + " \"INITIAL_ANGLE_LOWER\": initial_angle_lower,\n", + " \"INITIAL_ANGLE_UPPER\": initial_angle_upper,\n", + " \"INITIAL_VELOCITY_LOWER\": initial_velocity_lower,\n", + " \"INITIAL_VELOCITY_UPPER\": initial_velocity_upper,\n", " }\n", " contexts_acrobot[i] = context\n", "\n", " # Sample for CartPole\n", - " initial_state_lower = np.random.uniform(-2, 0)\n", - " initial_state_upper = np.random.uniform(min(0,initial_state_lower), 2)\n", + " initial_state_lower = np.random.uniform(-1, 1)\n", + " initial_state_upper = np.random.uniform(max(0,initial_state_lower), 1)\n", " context = {\n", " \"initial_state_lower\": initial_state_lower,\n", " \"initial_state_upper\": initial_state_upper,\n", @@ -204,7 +210,7 @@ " contexts_cartpole[i] = context\n", "\n", " # Sample for Pendulum\n", - " initial_angle_max = np.random.uniform(1e-4, 10)\n", + " initial_angle_max = np.random.uniform(0, np.pi/4)\n", " initial_velocity_max = np.random.uniform(1e-4, 10)\n", " context = {\n", " \"initial_angle_max\": initial_angle_max,\n", @@ -213,8 +219,8 @@ " contexts_pendulum[i] = context\n", "\n", " # Sample for MountainCar\n", - " min_position_start = np.random.uniform(-1.5, 0.9)\n", - " max_position_start = np.random.uniform(min_position_start, 0.9)\n", + " min_position_start = np.random.uniform(-1.5, 0.3)\n", + " max_position_start = np.random.uniform(min_position_start, 0.3)\n", " min_velocity_start = np.random.uniform(-1, 1)\n", " max_velocity_start = np.random.uniform(min_velocity_start, 1)\n", " context = {\n", @@ -226,10 +232,10 @@ " contexts_mountaincar[i] = context\n", "\n", "env_specs = {\n", - " CARLCartPoleEnv: contexts_cartpole,\n", - " CARLAcrobotEnv: contexts_acrobot,\n", - " CARLPendulumEnv: contexts_pendulum,\n", - " CARLMountainCarEnv: contexts_mountaincar,\n", + " CARLCartPole: contexts_cartpole,\n", + " CARLAcrobot: contexts_acrobot,\n", + " CARLPendulum: contexts_pendulum,\n", + " CARLMountainCar: contexts_mountaincar,\n", "}\n", "\n", "env_specs_classic = {k: None for k in env_specs.keys()}\n", @@ -237,37 +243,39 @@ "# Collect initial states\n", "renders, states = get_renders(env_specs=env_specs)\n", "renders_classic, states_classic = get_renders(env_specs=env_specs_classic)" - ], + ] + }, + { + "cell_type": "markdown", "metadata": { "collapsed": false, "pycharm": { - "name": "#%%\n" + "name": "#%% md\n" } - } - }, - { - "cell_type": "markdown", + }, "source": [ "## Classic vs. Contextual Initial State Distributions\n", "The contextually extended CARL environments show a much higher variety in the initial state distributions\n", "thus aiming for generalization starting from the first state.\n", "The figure displays the average of 50 initial states." - ], + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": { "collapsed": false, "pycharm": { - "name": "#%% md\n" + "name": "#%%\n" } - } - }, - { - "cell_type": "code", - "execution_count": 4, + }, "outputs": [ { "data": { - "text/plain": "
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xPN4sVO46cFuruL8/WZYGrq23XzZGMXw8yDByQ1fzFox/sTE9tkmD0H7gesCwvAu0F4LdgwrZtwjmFwPkWcDb2mS/kjC8jeN8qD2KsnC7CYKsW3uZXLf5IMiHy9NaTBjm63PvXRDk6wtDmTCUjSLFfX0y1iro6anXmI5tJZn0eAAAYOL4xje+oS9+8Yt69tln9fGPf5zGXwAwQT311FN6xzveoWuuuUZTp07tdDkAxqkxC59/4QtfGKtD6TOf+cyYHQsAJhMTVGRtNT/xIlOPgTfkw5PJlVaXHYxJJyBs+g8vo25MSVN1a2XVeGvYgYtv4xa5AAAAAAAAwCRlgiDpaO6CzUEgo6R7di647bb3umnnQud+9/ABOqMXQ971FYMPrVv/+C507oLeheB5NlrZcYqd2f393fNCJ/Wmz9Pu6bnAeeF4LswtY2RrtcYQvwuKKw3B12rJucaxbBQlvzNjyjuqF45loyjphu4614dhttwt898nWVuvzztn9++KiWPZWk2m4k030vEcAIAJ68ADD9TJJ5+su+66Sz/+8Y914okndrokAMAIu/322/WjH/1In/nMZ7TlllvyRSMATY1Z+Pxzn/vcmP1hRPgcAEaOMWbAjj7la4vdkuSF0/1JGLdykGFyAAAAAAAAACMj7XadCw17AejS64OFoLVx+6Q/rQshpwFsf0y3LteR3NfiemTT4HjJMuOFqV2oPOuGHrducNEwp1UMlnsB7YH2za6xNukG7wf5XRDd1Z0F16Mou4Jqo6i+PO0wbl0H+nScLGDudTp3XPd093s3YSgbBJILofsB/ihKwuZxLNVq9Q7okmJJgRdiLwbfc7UAAICNXhiGOvTQQ7VmzRrdeeeduv7663XggQd2uiwAwAj561//qhtuuEFTp07VW9/6Vhl3VywAKDFm4XOpycXJEcYfeAAwekw6idT4p/lAf743hstzf1zb4nZuZUMr9ZJlhRpL98uvBQAAAAAAAFCXdbk2Jgkh12pJZ+00LG2CoLyDeTGs7nU99wPn1gWT059+UN1627VVqxfMLjItxsitcefa4til3c9dyF6Fugv7W1MIqvtc6L1kGxcYt+7LAEquaLrXWeDchbvTTubyf09eDVmHcr8ruvc7ygLxbnkQJA8XMHC/9zhO6vC+PBCk9dpqVTYIZCqV+tXbOE6WpcF4AAAwcUyfPl0HHXSQoijSd7/7Xe2xxx6aOnUqWR0A2Mg9/vjjuuiii/Too4/qgx/8oGbOnNnpkgCMc2MWPn/Xu941VocCAIya0bpo4Caa6q+GdiSTPEqbHnHBAwAAAAAAACjlhZpdYDnHC0K7DuINyvZxoWgveJ6Fnl0QvRBMb9oN3Wk3YN6KH+z2x2v23Duf0lC6H6T3A/Z+N/Bsc5t7v4s1ZV3HSzqzN3Q2T7vH2yjK75sGxHPdz9MQeNbZPAhyY8haGddp3YXVVb+uaqX6emuTrufputiYJIzuB9DTc+WqLAAAE8/WW2+tJUuW6I477tC5556r9773vZ0uCQAwTFdddZVWrFihJUuWaLfddut0OQA2AmMWPj/rrLPG6lAAgNEyyJmCJtNQhcEGGnQQd81gJgMAAAAAAABom9+9OwtOuwC6tTKu+7mUCzabNDw94JU7P1DdJHDuB7b9junFTuUjygt95+706Dp7F49ZCJEbf3lxvT9G4ViZZh3X/a7uLuhdto/XqdwFy20U5X+fcZzU4HU+Ny5o7vYNw2x/Y0z9SwcugO5+J2GYdV7PAuu1Wn17Y5IAujEylUq9Thdcd79zAAAwYWy33XY67rjjdNppp+mggw7SdtttpzAMO10WAGAIHnjgAd12223adddd9Y53vKPT5QDYSHCvOwBAe0zaVbz5BvWf2SRJuqjslrwea20aVLcNM1b13Zrt31gT0xgAAAAAAABAm4qhZqkeSjamMTxtjBSGWfDZGNPe9Tiv47aCoHEMd7x0XW5st+9IB5j9EHbh2LnjuffGhcLdI47rj2Lw2z2iKHnEcRLq9gLlDWOk2/qh9Gx/a7N1btusO7oLv3vd0o23zNZqsrWa4mpVUV+fovXrFa9bp2jdOkVr1ypev15xf3+yXVqjjSLZajXZzy33zltxrDhd728r91648xzpLw4AAIBxYdq0adp55511+OGH69vf/rZeeuklxf4X5wAA4561VuvWrdP3vvc9LV68WK997Ws1Z86cTpcFYCNB+BwA0BajdAJISYccYwJv8iXOwunJpFCynaybkIhl40jWxpLqXW5snNwONq71J5MScSSrWEZGMkE6kRGl27qJE5seJ/nmvElvF5tNYgSBlK0L01qU1Q0AAAAAAACgznph4Vz380oleaQh8AZ+mDwMs8B622F0N4YfRPfGaDb2qITQpXwn8LTbt3GdxQfD39ev0w+tF5p1ZAFz/+GHtq2VygLorgN9rZaNE1eril1gPIrq4fBCAN4FxuP+fkXr1qn28suqvfRS8nPNGkXr1+eC5XFfn+K+vuRY7vi1WhJad8F1F0D3z5kQGgAAE9bMmTN14okn6tFHH9Vvf/tbvfTSSy0bkgEAxg/35/X555+vNWvWaOnSpdpll106XBWAjUml0wUAADYSQ5rPSW9aO4IXGZLoufUKyheWe0XYHAAAAAAAABhYFOXvO+gC6O65Cy17nb9LecFwI+W6qQ8YRHLX8sr2t8l9E7OaistHMuSUhsfTomWtTQLo7njthqnde9jGe2YqlbQ5hze214XeRlH996D8e2njWKZSSYLhboxCsF2FLwRY9/659zqt1Roj1WrZ7z1KlwddXckXEbq6kmB9GMpUKgq6umQlxdbmzjOUpO5uKYqScwMAABNWpVLRhRdeqK222ko///nPtc8++6i7u7vTZQEABhDHsZ544gl9/vOf17XXXqstt9yy0yUB2MiMi87n/f392nbbbTV37lxtu+22Wrdu3aD2/8Y3vqG5c+dq7ty5OvPMM0epSgBAGatBTuzY7B8FZUHxku0GPJzJPyN/DgAAAAAAADTXKrjtuoGnYePsebEbeTOue7nf1Xww3dG9Dui5Y6ZjajC1DIUx9ZoL59F24wtX/0Ad1NOxy8b133O5988Fx9OgfNDdnfyOCvubNLRuvUfW+bxWS7qXpx3Q4/5+xX19ivr6FG/YkD1qa9ao9tJLqq5cqf4VK9T//PPJz5UrVXv5ZUUbNiT7pdtH69fL9vcnBQwUvgcAABs1Y4yCINBpp52mT37yk/rVr37V6ZIAAG1YvXq13va2t2n58uWaN2/eyP/3NIAJb1y0G7jkkkv0yCOPyBij97///Zo6deqg9j/xxBP16U9/Whs2bND3vvc9ve997xulSgFgMjMtXzbdxXqdeKwk43ctb9yhrY+z1nqNz0smY9oZAwAAABNeX98jWr/+Tq1bd4f6+h5UtfqM4ni9jOlVV9c8dXcv0pQpu2rq1L00ZcpOnS4XAACgM+I4CTTHcXnfBxeetlYKgqQTuOvQ7XUgz157PxsCx8Xu5gNt7+/jtvO7snv7u27e/nLr1zYchWPaOM46fbcdrHYd1Vt1T0/D7orjxjGDILvuaSUpjmWCIKnF/axUkppqtfoxBhMg8Dumu9fu/OI4CaG/8IKqL76oaN06xRs2JO95V5fCadPUvckm6tlyS03dZhtN3XZbhV1d2b9f3KUSAICJ7cgjj9QzzzyjBx98UFdffbWWLVvW6ZIAAE08+eSTOvvss3XkkUfqVa96FXesADAk4yJ8fsUVV2TPjzvuuEHvP3v2bB122GG68MILddddd+npp5/WggULRrJEAMCwjE1XG2LoAAAAkKS+vkf18su/0dq1t6ah86dUq61QFL0sqSapojCcrjCcozVrrlV397aaNm1PzZ79VnV3by1jxsWN4gAAAMaE9QLdTYPa3nrjnic7J2F0P0RubRZcLobLs+P54+YOY3LbNw2vl9TnHysLovvn5NU1LC4g7h3LhfHbCru7/ZvV44X9G8YbIIAua6UwrO/X6ndbXOa/53GcD52vXq2+Z55R9YUXFK1erWj9esX9/bK1WrKtMTLd3drwxBOqPPKI1t53n6Zus41m77efel/xivq/CwTQAQCYsDbZZBMdddRRuvjii3Xbbbdp66231nbbbdfpsgAABc8995xuv/12PfbYY/rQhz6kqVOn0vUcwJCMi/D57bffLkmaO3eudt111yGNsXTpUl144YWSpNtuu01HHHHEiNUHACga3AfPeicfN4FRMs9g3OqBxk4mZYxcB3V/e1OyOx+SAQAAJgtrY61f/xe9+OLFevHFi9TX94DieG3JljVF0YuKohfV3/93rVt3q9atu1lR9KJmzTpKU6bsoiDoGfP6AQAAOi27RNd0A69zeXqRzxQCzNbvPl4IozcEwuWF35vU44+tYn3+fsWa/O3dsd2xXE3euIPivQ9uzFwIfaCxXSf1AUL2WdC8GEBP17sAutJu6QoCmTBMxo1j2ShKxgmC7HmO67DuB/TjOFkex7LVqqovvqi+p59W39NPq7Z2rRRFjRd4rZXt61Otr0+1F1/Uhiee0PpHH1W0YYPmHHCApixapHDKlOQ9ItQAAMCEtdNOO+mxxx7TzTffrMsvv1wnnXSSurq6Ol0WACC1Zs0a3XbbbfrDH/6gfffdVzvvvHOnSwKwERsX4fNHHnlExhjtsMMOQx7jla98Zfb873//+0iUBQAoM/AMlBpC4DaWBt09sslBktmiZH5DzaLlJveDjjoAAAATn7VV9fc/qeef/55WrPiRrK0O+DHQZWbiuKq+vgf09NNfVH//M5o//4Pq7d1eQTBlbIoHAAAYD1yAud0wth9Ed/zgefrTSrkwuN+ZfMAwemFsf/zSKov7FQLn2fhuubWyxWMMlhckt647vOscXujk3nLfrIFHfp1cJ3J/HGNkwjAJvUsycSybdlTPvd/W5kPn/pcB0nC6dSF1ty4Nn8f9/aqtWaN1Dz6ovqefrn+pwH9/C1y7EBtFqq5Yoecvu0y11as1/4gjNGXrrRX09g7yzQUAABubQw89VC+//LLOPfdcLVu2TK961as6XRIAIHXffffp2muv1dNPP61vfOMbnS4HwEZuXITP165NupBNmzZtyGNMnz49e7569eph1wQAqPO70RgTypqBbh1bz6jb9H9+lx5j3DSEG7NJML30MPl9W3c6dx2CyjqiAwAAYKKwNlK1+oyefvrLWrnyB5La+/5hWaZp5cofKI7XarPNPqKpU/eQMePi0gkAAMCoMWnX7vRFcl1vKCHsdP/cT6khjJ49/NcqCYWXdQP3xy0G2pvVUwzHF8b3u7Q3jDGY98GYepDedUIvdn5vtW8Y1juRt7POLVd6zTUIZOM4qaFScd+ylK3VkoB5+tx1Nc+C6e69SNfHtZpsf79qL7+sdY88ourzz9dD/80+ZLuO8640b9UL11wj29+vzY46SlO3316G7qcAAEx4Bx10kMIw1CmnnKJLLrlEPT093P0EADpsw4YNOu+889TX16evfOUrnS4HwAQwLmZQZ8+erZUrV2rlypVDHsPf1w+iAwBGWBYsd117vBVlUzxWhbx4yTYNu5p00ivp6GNMIKu4vuFgJ7+4lgEAADBhWWu1YcN9ev7572XB8+F64YXlsjbSvHnv1YwZBzM5BgAAJrYgSDpnuw7hxtRfj5RCKL0hkK4kTJ7riC5lIWm3XS7EXQyju3XNguSFfYrbq/ja62Q+6HN1QWx/PBf6biUIkv3K3v8gSK6ZFrrTZwH0ajU9BZsEzmu15HnaxdwPm7vAuY1j2Wo1eaT1xX19qq5apQ2PP67aiy+WdpPPvS4+d7wO9i/ecINkjDZ9wxs089Wv5vM1AAAT3Kabbqp9991XDzzwgD71qU/pq1/9qsIw5DMAAHSItVZf+9rXNGvWLC1dulQLFy7sdEkAJoAmrWbH1uabby5rre65556sC/pg3XTTTdnzzTbbbKRKAwAUGBMUJhriJh3Ks17nkq1PqiQXFdIJHuN3VfcHSSc/GiZ23PKSSRo3cVRy0SLprM7FDAAAgImoWn1CL710mZ5//jvDHsv/+Pnii+dr1arl6uu7f9jjAgAAjGtlIaA06DzqxzVGCoLkEYYylUruEXR1yXR11V+7dWEoU1ajGy8Mc9s0PRdvewVBsk/6kPe89FjtnqMbt1B7y1v1uH1Kzs8E6dReHMtGURIcd93N0yC5vJC56zTudzuPq1XFGzYoXr9ecV9fsqyvT9GaNdrw+ONa//DDqr30Uvmtgppcgy07d//q7os33KAXrr1WG554YuB9AQDARm/zzTfXe9/7Xt1///264oortH79+k6XBACT1vnnn6/nn39e++23n/bbb79OlwNgghgXnc8POOAA3X333apWqzr77LN18sknD2r/vr4+nXPOOdnrfffdd6RLBABkChMLxbvAFhcNq0GSzT8tzrU0lEbAHAAAYLJZufIcPfvsNyRFwx4r/3Ey1gsvnC9rN2ibbc4d9tgAAADjmt/93F/mdckeM3642VrvhopNOqT7r9Ptsg7pZZ3O3c9id/RCwDp33PQYxjtO7phtnpcJw4Zu6C3f37QOmwbNlXYrz2pyy93mrgu6f/7WylQqScjcdUT39rG1muJqVbavTxueekr9K1cqHiAc9tS6dbrgkUf051Wr9EJ/v2Z3d2vxrFl645Zbare5c+v1+DtZqxf+9CfZWk3bnHJK++8bAADYKBljNGvWLH33u9/VwQcfrEsuuUTbbbedKpVxEVMCgEnBWqsnn3xS3/rWt/SVr3xFS5YsURCMi17FACaAcfGnyZvf/Obs+Wc+8xndd999g9r/lFNO0eOPPy5jjHbddVduDQEAo8akMwaFjje5iZn8Hn6X8qRrueQ6mLdvDCe3AAAAsNHo63tEfX0PKYpWjsr4cbxafX2PaMMGup8DAICJK+vCXdYh3HXudh3Ex7w4726Hrk6/Q7nfKd3rkF7sWG78cbxu66bs3Ip3WCwe03VJd8sG2xXdf09dh3V3bl6gPAuKu7C4C5pHUbJNnFx3NUGQC7Jnx5CyTucqBtelrNu564Lev2KFaqtXy/b3twzVX/PMM/rinXfq/558Uve+9JIeX7tW9770kn7/9NP65j336NyHHirf0VrF69er79lnteHJJ9t/vwAAwEYrCAJtscUWOuaYY/TZz35Wd911V6dLAoBJpVar6ROf+IROPPFELV68WFOmTOl0SQAmkHERPn/Tm96kPffcU5K0atUqHXTQQbrssssG3O/FF1/Uu971Ln33u9/Nln36058etToBYLJLJlHqEyn1KZkmkytWUhY+t8qHyG3aoCdpaT6i3ZMaW6KP3NgAAAAYN1544Zdat+6WERuv7CNpf/+jWrHihyN2DAAAgHHHBa+bBdDdOhfYTrfJPTRGV+AGCqOXhdIrlSzgnQube6H7hpB94T0p3c6N6QLkfhDdD6+3y4XD/eB5FCUPvyu9P26h+7r1O6q7gLrrGF+pyJjkOqyt1WSr1WTsalXRunWqvfyy4g0bsg7rZa5++mn98pFHdMuKFXp2wwb1pwH4ahxrRV+f7nrhBV32xBO68NFHk3r8OtO6+597TiuuvHJw7w0AANio/dM//ZO6urp066236qFmX1QDAIyotWvX6tJLL1WlUtGhhx6qWbNmdbokABPMuLmfzZlnnqmlS5dq/fr1evbZZ/WWt7xFu+22m9761rdqyZIlmjdvnnp6evTSSy/pgQce0LXXXqtf/vKXWrduXXKrQ2N01FFH6Zhjjun0qQDABGbKn6cN0W3DNlbWxjKm1XedvFvd+l3VB6qjyYwWMXMAAIDJ4+WXf6N165KOSV5zx9LnZa99zbatVp/UqlU/1yte8fVROAMAAIDOckFzm4atXVjYSOXNIoqhaj8QbW3jtbnCGCN+f8OyTu2SjPWuOaavs2C299y4Ze59cPuky4rj2OKdIL3xk5f5ca23jf+zrBbF9TtI5rbz9y2szwLrUr0buhdYz8b0Avrq7693Vk+7n9deflnRhg2Kq9XkmO7cjVHSOkS6Y+VK/ezvf9ftK1vfdeiBl1/WWQ88oC2mTtW+8+Zl76Ubp7pqlVZdd51e8e53txwHAABMDMYY7brrrvrnf/5nXXfddbrllls0d+5czZkzp9OlAcCEtX79ej344IO69NJLdfzxx2vevHmqVMZNTBTABDFu/lRZsmSJfv7zn+sf//EftX79ellrddddd7W87Y4LnUvSsmXLtHz58rEqFwAmp9ztZltu2LjI2hazS/60lneMJtsb447Q5g08SKQDAABMOJEL+ph8nse9Lms2WcgI5Zb54/ivB9uwEgAAYKMUBFIctxdA9/kflso+OBVD4P4yt8kQyh1QMSSufCC9GEZ3Qe9sGxdG92sthsoL4ycvTS4Unr2HLhjudzD3w+j+67QruzVGxm1fDKr70mPZWq0ePve6nUvKju+fj7VW0fr1SdfzF1+U7e/P/zvgBcatpK/+5S96aPXqdt59Pb1+vT5+yy265rDD6l8ISMcxxfoBAMCk8IY3vEH333+/7rvvPs2ePVuHHHKIwjDsdFkAMOHUajU98sgjuuKKK7T55pvrda97XfkdzgBgmNpM7Y2NI444QjfffLOWLFkiKbnw5S6Euef+Q5KmTJmiz33uc7ryyivV09PTsdoBYLIofiQd3FRB2dbGW1dcb3PPbW7qq2wkPjADAABMdO6awKpaTf1NgisDXUd1wfRi4Nxf19gJ3WrA8BUAAMBGyvgfkIxJwuhBMPwJ6sJ4CgIpDJOHO0Z6HGNG+eqeX0sYylQqMl1d2SPo7lbQ3Z28rlSSbcIwqy+3r7c8q9mFwNPO41ng3AuVu5C560xu/XB5oU6THi/3nviBdRc4d48oStan72n2YTYIkuNZKxMEyTkGgeINGxRv2KBo7dqs7tIO6xpebw93A0vrOuMTegAAYNL64Ac/qKlTp+qss87SihUrOl0OAExIjz32mC6++GItX75cX/nKVwieAxg146bzubPzzjvr5ptv1tVXX62f/exnuu6663T//ffntpkxY4b23XdfHXLIITrhhBM0d+7cDlULAJOLcRMkOQMHcKyNJRvkJmLSAb1t0rtZmPo29S8gxcmEi0wugO5/SDYmnVAxQf01AAAAJiQr6TvPP68l/f1aoNLGlm1r1qyzOJbr+ggAADBh+R2q3TfxwjDr9i2vWdBIHq/4vOEaov/c7zo+Ugq3zDFhmHQ5d8d1XdFdUDwNjmddzOM4Lc3rUO5C54UvMJo0dJ91Xk+3a3juc2Hy9Hi2Ws3C6+7Yft3WLbNWtlZT3N+fjNHVJVmruL8/2cYYRevWKVqzJgvEu/2M9+/CsN7a3NvMp2kAACC9613v0vz583X88cfryiuv7HQ5ADDhnH/++br11lv1m9/8ptOlAJjgxl343Fm2bJmWLVsmKblg98ILL6ivr0+zZ8/WlClTOlwdAGBwjGRjWdlhTVg0TC0VB8tNWLXaEAAAABuzPmt14YsvaotqVQvG6Jg1a9VFYAYAAExgWeMJY+pB6/R1Qzi8LBheeD7skPp4Cad7NRhrZdNu5Na9T8ZkwfFceNwFuNPb6jQsl5Ku5C7YngbMjZR1SM/C5K6LehosN0G98Yb1AujZslpNca2WjBeGslEkIyn2O5ynXzCwxTFG+zMvdxMCAGBS23TTTXXAAQdoxYoVOvXUU3X66afzJTUAGCFnnHGGNmzYoPe///3afPPNO10OgAluo2gLa4zR3LlztWDBAoLnADAOGFNyy938/V8b9kk6/xTHMY3PW809xFay9YmQrDN6Y4W5WgEAADCx9MexXqjVVB2D4Ir7GDsWxwIAAOi07Bpd2m27aRDIBdKNkYIgefjPg0AmDPMPN6Y3tnsMsdjGGsqO5R2n9EguiB3HSVfzWi3/iCIpiuqdztPQtkmPa9JzDSoVma6u5Gelkp139n64wLjfId3V4N6vSiU5BxdYjyLZKFKc1pF1pDcm2950dSVjp53ObbUqG8fJ+brfi6S4WpWt1bIgvNsm9z6MAUu4DACASS0IAm211VY67LDDtHLlSl1xxRWqVqudLgsANnqXXnqpVq5cqV122UX77LOPgoCsDIDRxZ8yAIBBMMnDpD8HxaoxJt5G4Dy3fggTIOkh+MY8AADAxNFvrWoa0qfDQXMfI2uEzwEAwCSRXUdzIWcX4NYAVwT9MHg7j2JQvRhOLwbHBxNUbxGOz0LoLnCedgO3UVTvLp52Gi8+mnY494PvlUo9gF4IoRvvnLNaXG1p2Dzrcp6O77bxg+QNP5V0L891m3fn70LsLsCehuplrUylorC3NzmvAYIJ/++Vr9TOs2e39fbP6+3Vx171qvoCry6u0gIAgJ6eHi1atEjvfOc79YMf/EBPPvkkAXQAGCJrrR577DFdfvnlWfB8xowZnS4LwCRA+BwA0L7izIBRi4441tuosKhhIJt/no3p/Ww4jC2MU+xcNIyuSQAAABjX+tPAz93aVY/rFaN6rBc0WzfpNaqN6lEAAADGlyzoXRLiLguENzykhkfbYfQBlg0UTm+4Juh1Gnfdy60Lnrvn7nqk35G8sCzrGO4Hz8vfvKzOXLC+STDdBchdN3I/eJ7rcu4H9N374bq1x3H2e3PHzAXP022y51GUhM+7uhT09ibd0we4lvq6LbbQ0VtvrV0HCKBvNW2ajt56ax251Val68MZMzRj111bjgEAACa+KVOmaOnSpZo9e7bOPfdcrVy5stMlAcBG6+yzz9Zmm22mvffeW1s1+W8xABhplU4XAADYSLXb/dwYySaTH1ZxukxpmNyfpGl2C1/JxlbGWFnZXMTcFLbzl5isPgLoAAAAE01fGgi6TEdovp7TVnqiYRtr640giw0gB+NxbaVz9E4dGcdSGA69aAAAgI1Qrgt6qjR4XVxW8kGs4WNYswB34QObLVmW7V88jj+m36G8EDAfMDze5AOkX0XDGMWO6P7+YVjvtm6tjAuFezUZKQnax3GurYd19bhgfRpSV7p/Flh3wXMpC9bHcZx0OXcd1Wu1erjdhdq7uhROny5breaD78W3W9LRCxdqShjqrAcf1IoNG7S2VlPNWoXGaGqlornd3Tpkiy30/3bcsenb27P55pp3+OFN1wMAgMkjDEOdeuqpOv7447XXXntp6tSpmjlzZqfLAoCNRhRFevDBB3XRRRfpggsu0MKFCztdEoBJhPA5AGDwTLHLeKPSKYqWkzrNFgeyigZxNFP/Se4cAABgQno5ihRLekJb6Rm7uTaoRz3qGzCTVPa61Tb96tJKbaIHtZ3Wpd0kAQAAJrvSDtltfMOvrdB6yTJTeF2/uaJpCJsXg+a5ruZ+iNtf53c7b3ZOJR8gTaGDerapSq6N+sF316k8XWaC9CbFYSiTdmZ3PxXH9eP4gXV//7QjuhvTuu7ubpt0nY3Sa6yuS3oYykaRgq4uhVOmKF6/PtmvWs3eD1OsX9IbXvEK7TJnjs59+GHdtmKFVvb1aU5Pj141e7bevPXW2nPu3IZ7VlrXDb9SUWXWLE2hEx8AAJAUBIF22WUXfe5zn9PFF1+sIAh00EEHqaurq9OlAcC4F8exVq1apY9+9KP62te+pgULFiikgQ6AMUT4HAAwaMkEiiksKU7AtD9e48STN0XTat6qbJ1psQ4AAAATQtX7/Pgr8xb1qUf/pv/JbVPSpLP0dbNtrKT/0xv0E/2rZK36W32REgAAAANqJ7Ruy74pWF+ZdQjPgtVlnc3dtk32z12LNCY7niluW3juh76bjZEtKh7Thb9dqNyFw4vvg+uQ7sbwQ+e1WjKkG0NJcN2NZ4Ig2b5Wqx8rjmX7+5OO6lLS3bxWy0L4QaWi2FqZri51zZkjW6spTgPuplCfX9dW06bp//eqV+WD/WXnX3g9e599NP8tb5GpMD0JAADq3vzmN+vee+/VTTfdpEqlooMOOqj8syMAQFLy36dPP/20fvzjH2uPPfbQwQcfTPAcwJjj6g4AYBBM6dPW3MRPmuBpK5VuZW1Z28r6cUuzP1yDAAAAmBTWRJG6jFEg6Tltpuv0D5qvZ/UOnT/kMYu5mav0el2hN+kxLdQCY7SB8DkAAMDY8TuFF8PlxfC3lA+AuwC728freJ6FqIv7l3VXL+uKnoa4i93YGzqwp8FvFwDPjZvWa1wwwDuv5If32oXU3fkZo6C7W+rqynU6VxwnwXE/eO5K7u5Wbe3a7JimqysZq1ZLQuZBoKC7W9YYdc+fr9pLL6m2Zk0ydrXa8KtpeN+bcMd3W8zYfXfN2mcf9b7iFW11ygcAAJPLKaecoi996Uu67LLLtMUWW2jHHXfsdEkAMG7dc889Wr58uc4//3zdc889CtwdtQBgDPEnDwBgBJQHcfI3q7VNt0sC6iN6aJV2YwcAAMCEsDqO1ZOGzyWjx+zW+rn+SZfq8CF/rPTzSr/V63Se3qE/69WqmECzwlD9fudHAAAADItNA+TW6wqePdIAta3Vki7daZi6tHN5MliyPo7r23rdwSXlwtsyJgmRlz38ULS3nWnjIWOSc6nV6p3Zle/43rBfSS3Zcu8Dqo2iXIA+C5JXKgq6umQqFZmuLgXpMqVjmCBQ3N8vE4bJe2lMfR//EYYyYaigp0ddc+aoe+5cBT09Cnp7h/oLzl2dnbZ4sTY5+GBNX7w4e68AAAB8YRjqpJNO0tZbb61PfvKTnS4HAMatarWqm266STfccIN+//vfq1KpcLcIAB1B53MAwOCYdNrAqkn7ccc2nxByWxS6+rjvRFlrZRTXJ1RaH4WIOQAAwCRTs1bdQaAg7WJZM116WpvrXP2zQkU6VFepomhQY7qb9fyfDtX5OlYPaAf1q0dTJE0PAvXT+RwAAGBIctcGi129vee59WX7FvcvLBv0p7Umxy3tql7kdVa3Lvzu3UrHuHNL9zVue3cM75jZ6Ok4/nuShdjTkHpD13Zr68F0v7t7GGb7B93divr6FHR3K3Ydz5VciY2949sgSEL/LgTf1aVo/XqZSkXRmjX5963sPfGXG5Ndt522007a5KCDNHXbbRVOmVLvPg8AAFCw6aab6sADD9SaNWv0pS99SZ/61Kc6XRIAjDvnn3++Hn74Yb3vfe/TK17xik6XA2ASI3wOABi8dmcHsoC6bTKp0Do6bq1t4xuaVib9X2mpfMMTAABgwnBBoA3WqjvrfJ6oqVsPaTtdqLdqjWZob92sBXpGvepr+Z1Ga6XIhHrOzNMNdj9dad6ge7WT+pR0eQyMUbcxirPt2/mMCgAAMPkMGBQfIGxe2sCiLLjujzW4ApuO2ax5RtNxXOi8GBIvdlsvBLKzVSV1WCnpfh5F3hBGNghkmgT4rX93HldT2vHcdVFXV5dMtSpVKgrS8Vy3+SAIZGu1JIhujEwUybou6t3dMl1dint7kwD6unWy1WpyKKleU+E8bVp3Zdo0Td1mG81cskRTd9hBlRkzpDCk6zkAAGgqCALtsMMOWrdunZYvX67f//73OuiggxQEwcA7A8AkcN111+mhhx7SK17xCr3uda/rdDkAJjnC5wCAITDtBdD9u9S6Fw3zOMUFbuziZFVhq+ItcF1H9oYamMwAAACYSKykvjhWxZis83l9XaA/a0+t0Dw9r3naRX/VAj2l2eYlTdMa9apPoSJFCtSvHq3VVL1sZup5zdfftFiXmCP1hLaS9WLtoaTeIBh8uAkAAGACaxkU9wPdJQH0pvs3GWdIQfPiWMXxhnJXm0Kn8yz43Wrcdq5NFrrB58YxpvGLj37g3R3DdTxPO6TbOM66pSuKZCrJdKAJQ9kwTNbHseIwlO3vT7qdp93S3bnZWk2mq0u2WlXY26vayy8r3rBBcbWadEiPonrH9zTobrq6FPT2qjJ9unoWLNDMPfbQtFe+Ul2zZsl0dcmUnQ8AAIBn5syZWrx4sfbff3+df/752mGHHbRgwQJVKsSbAExuTz31lH73u99p/vz52n///bXpppt2uiQAkxyfzgAAg5NNDgwUQG8Mg1vXBb2hCZLrHpmulyneYVe5nbKwuRrGAgAAwMRmJcVKQuHZp81Ch8kntJXO0gna0j6unc3ftIu9W4vMI5qv5zRFG7TB9mil2VSP21foPrOj7tJueljbe+PUOzdWjNGsMFSchp6IygAAgMmqZWfzJl3N2w55F/cbXqEN4w4pbF4cIw1s27Kw+FDqK3ZQd6FvP1TedIgmRwwCuausUho27+/PwudZUDw9jyAIkjB6FCmIovrx03B5kHZIt9WqwunTZatVxRs2KFq/XnF/v+L+/iTcHoZJ6HzWLPVstpl6X/EK9W69tbrmzFFl1iyZ7m6ahAAAgLZtuummOuqoo3TxxRfrV7/6lY4//njNmjWLL7EBmJSstarVarrsssu0fv167bnnntptt906XRYAED4HAAxOMnlh0i41oQaV/rZWVrZ5YMcPlTfs2uQ4Ni5fLskYbsEGAAAw0cSSqtYqNCb/ubLQBV3W6kmzlZ60r9BV5tD8IN73KWXrQfPcZ9F0rMAYdRujSPXQOwAAwGRim4W5SzqbDzZsPqxQeJMxR2TcZoFzty6OhxaQL6vRhc6jqK39/XB49qjVkuXWKu7vr4/lOqDHcRJEjyKZIKgH0I2RDQLZWk3q6qofo/Ae2Fqt/ogiyRiFU6cq6O6WqVSSrueVisLp01WZPl1BT48qM2eqMmNGsj4MW177BQAAKJoxY4bOO+88zZ49W/vss49222039fb2drosAOiIhx9+WN/73vf005/+VLvuumunywEASYTPAQBDYbJ/tMe1iMza7hSnZpINsviQv3pIE0XpwQZbJwAAAMY914F8ijHKvmpYFh4vW1am2fp0eaCk+7m1VnEaegcAAJgscgHpNHQ96HD3UDuED2LcXK3DHNPWao3nOEId1HMBc9dlvBhub8bvjF4Mn6fd0uO+vuy5jaKkM7l/Dn4tzY7pvuSZfu41YVgPprvlxiSB864uBT09CqdMUdDTI1OpKOjuVjhtmirTpyucOjUJu/vS8DsAAMBAjDG64YYbdPLJJ+u0007TgQce2OmSAGDMVatVLVu2TL///e+17bbbdrocAMgQPgcADFqWIW8jd9M4ieF3P3dhc5sfy1p3BFlrZdKwj19Brqu5SV+nEyPGEDwHAACYqKI0+JPciWf0P+8ZSaExsko6nwMAAEwWrru5jaJ8eLxVUNrvhD4aYfP0pwtYjwgX6C6OOxKh+WJ43z9eu6FzKfsd2ChKgudeEN0F2m21Wj+PalVxtVrf1/vZUNtAgiAJmodh8qhUskfQ1VV/HQQy3d1JEL23VwrDZN+urvT6bRJYp/s5AAAYjJ122knvec97dOmll2rNmjV64xvf2OmSAGDMPPfcc/rQhz6kL37xi1q0aJG6/C8GA0CHET4HAAzNoMLdtvGlKV81yAKynun1UgyZcwAAgAnKStpgraoa2498gaSqtapaqx7CMgAAYBLIBc9dJ+2ysLLXedwPM49I6LwQZB/Rsb3AeUPndNfhfbjHSsfJAvvu9WC6x7tAfFnwPIqyLu2yNgmbF47RVo2O62huTBIaD8MkLO7C52nAXH4IPd3GhGESPO/tVdDbm3VDN8U7ExnDpVsAANA2Y4zCMNQRRxyhZ555RnfddZdmzpyp/fffv9OlAcCou+eee/S9731Pzz//vI4++mh1d3ePSUMeAGgX97UDAIwJW3hSb26e72jeYs+8hk35kA0AADAZ1NKgjtHYfAIMjFGXMYqVdF0f0e6dAAAA41AxeG6LQWkXzvbC2zb9nFS/n+GQD14f2zuG9R5td+wuGzsNbGfn5s7PnYvrSD6c8/DH8Z+7wPgggucq1uV3O3cd6SXF/f31EH2tlnVwzzq5lx3PBckrFQXd3Qp6evKP7u768t5eBd3dMm55V5cC1+28UkmC5267dBsXYKfTOQAAGK45c+bo8MMPVxAE+t3vfqennnqq0yUBwKhasWKF/va3v+npp5/Wqaeeqjlz5igIiHkCGF/4UwkAMEim8adtEiBPn/q3482moUy2prB9vXN59q1N0143c6YxAAAAJjarpAO5u5HOiH/+KwnlGEmhd2wAAICJLAue++Hp+sp82NwLnQ/jgOVhdi/03lZQu9X4cZyEztOu4X7o3D+nLGg/3GOVjJ91LW83PO93MHehdVefP5ZUD9NLyXauW707VnqNNetQ7gLn7tHVJeMC5d3dyfP0p1tuKpVsH9fxPOuOXqlkAXXjtg3DrIN6A8LoAABgCHbeeWctWbJEcRzrF7/4RafLAYBRE0WRbrnlFt1xxx1605vepDe96U10PAcwLlU6XQAAYCNjvJhPeqvU+nLVA+S+eptzySYTH8YEScdKY7LOlZJJX0sasCO6N3zDlFB+ez6IAwAATBwuAG6MUaDkW/XxSA1e+Nxo0vHd58k+Op8DAIDJYKDg+XDHLxtXGl7IvOwYLrjudU9vqGEkwu3e81yn8VbHH2BM64XxrRdCdyH6XEi/Vqvv6p57gfPsM67/3InjZFkcZ2Hx7GcQZPtkoXV3PdiYJMze1VUPrXd1Jdu4fb1rx403seR6LQAAGLx/+Id/ULVa1X/+53/q0EMP1c4778w8MIAJ58EHH9RNN92kdevW6YQTTuh0OQDQFJ3PAQCjx5a8yCZZ2plU8i4WNGzGhQQAAIDJqOZ1Pu9KA+ijpWKMeoMgCbhbO3IhdwAAgHHIBaWzsHN9xfC7grtx/C7jfjfvkQqeu7FrtfqjGKT3znFEgudpN3I/eG7T85N3ju2O2RA8T8PmNo4VV6v147rzTBt8SMmXJl2XclOpJN3Lu7qyR+B3Jk/D5SYMk47mbn26jQugB11dyfq027kfPDdhqGDKlGxM1zHdbZMpC74DAAAMUqVS0ZIlS3TSSSfplFNO0erVq0f2C4wA0GFr1qzRt7/9bXV3d+sjH/lIp8sBgJYInwMAhsiWBMIL65ssGniiKl1rlO+aPuAhmMAAAACYqNxnyPVeEKrLGIUuxFKcaPLDTWVdLv1tyg+oQFKo5FPmujhWX3psJrUAAMBE1RA8dyHtIQ9ocx277WDD2O0eI4qSIHa1qrhabTyGH3gfiWP7IXrv/bK1WnKMstD7QFzQ3L3nXpdzG0WK+/sbQt3GmCQw3t2ddC9PQ+eBH0B3gXQXHHfh8UqloWu539U8C6K70Lm8cHu6PJw2LQudB93dSahdSrb3w+cEzwEAwAjZZJNNtO+++2rhwoU68cQTtW7dOq7VAZgQrLX64he/qK233lpvfOMbtfXWW3e6JABoifA5AGDwjFFj0Nt/3RjisWmIPIkMeettOjljgtxt0Yrx9OSWrqpPkJisd/pwzwYAAAAbkZqkyFpNDQJ1B0ESPre2MdCSBmdKlxe3kRqD6Maoy5jsOBKfPAEAwASXBp0zg+1I7gWyszD4aITN3bFc5+9qVbE7VjFwPhqB90LXdr8WFxQf7LlkYXXXQT3tfO5/pg26u+udy11IPA2Y22pVCsOkY7kxWUdz4+1v0vW5LuhdXfWQeLpN4IXLs0C6lAXWXWg9nDZNkhT09GT7ygu4Fz+HG7qfAwCAETJv3jx985vf1BNPPKEzzzxTK1as6HRJADAs1lr9+Mc/1rp163TIIYdojz326HRJADCgSqcLAABszIYwYdOikfnwMHEBAAAw0cXWKk5DQ0b1ruQDcgF197yoLLyu5Bv7QbrcahQ/ygIAAIwDuYC2tfkO6E13yt9pxrplo1Kgrdflnpcda7TC7sX3xK9hKKFzbxwTBLLWKqhUkmOkr00aSDdpoFxS0tldaugsnjX2KHz2zbqeu+2937F7bsKwvk0QNITHXfBcaUd0Fzh3P8Pe3vp+xa7nAAAAI8wYo97eXl188cU68sgjteeee2rvvffWtPTLcQCwMYmiSPfcc4/OOeccffe739V2222Xa9wIAOMV4XMAwLAYE8gqCf00ndLJJjyMrI1lbSyjUFJjh/NkYTrxYSRrY8maJh+u/e7pbkIlvf0rYXQAAIAJx0paG8fZ58/sfjztXIhttU2TdcaYXMC9aks/vQIAAEwcfvfygXhh6xEPexfqsYW6Go7nheBHtJJm46YBeOvXN4BcONy/+44xsnGcrLc2CW5bK+OP6+7Ek3anz8Lh1iru68vVmwXAvTsEGbd/HOfC6VngPA28G68Lela3C5773dddF/S0w7q8ruYNwfXinYcAAABGgDFG8+fP1xe/+EX9+Mc/Vq1W0+tf//pOlwUAg7Zu3Tq9733v02mnnaZFixapq6ur0yUBQFsInwMAhsWYVl1s6l0pbfak0C/SPc3NOxQmIZp0omwYw+1bcltXAAAAbPxiJQFwp2KMAqn158VWHc/9bbxwTja+pG6va2PsAkB81gQAABNcyyj1IALXQy+gsct5stg2bOOej1boPHdc/9z9ALonFzIv/PSD2P5+rvN57nzSoL0Lc9s4rn8pIP3s6rrVmzT8nYXYC+H2hs+vpn4N1XjPi9tl4fI0eG4qFSkMpTCsB9LTYEQu9F48lv8TAABgBP3DP/yDbrnlFt1+++2aOnWq9t9//06XBABte/rpp3XWWWdp++2313777aeenp5OlwQAbeO+dwCAofNu99qWFjNAxu+d7s9DlO4z8EQFtyECAACYWKz3kJJPhKExCgb64mE7X0xsEoipGKMuYwb+eAoAADBR+AHoZutabTMSx44i2fShOM4C1sUAuAt+25EMnvtjNzluFgJPj2vSALdxncODIAlnp8Ft/yG3XoUO4f7nUC94LikLdNsoyi9Pt3XHzLqRp8fOjlXoQu7qzNVbEhr3u5qbMEzC5955ueVKw+m5IHtuIK7TAgCA0TNlyhQdc8wxiqJIN9xwgx566KFOlwQAbVmxYoVuueUW3XTTTfrABz6g7u5uci4ANiqEzwEAwzL8j7625Fn5+qYHbSjCSDJ8MAcAAJhgImvl4jamEAov5QeFhsCofuHEKum8HosAOgAAmMBadTRPu327UPZIHjMbt1bLgucNxykJho9oDW68tJbS+vxO7C5s7YfMK5UsAC4X0PYf7nqla+iRjpMb179zT7qde29yHcrTbd0xlQbLsyB5WUf2QhA+C6oXmDRA7+oPenvzAfdKRSbthl44SFthc67bAgCAkbTjjjtq3333Va1W06WXXqo1a9Z0uiQAaGndunW64447dN111+lf/uVftM8++ygYTONHABgH+FMLADA4pt6hPN+dp3FTa2Nvt/a6TeZvL1u//WyyvHiAWMYEKv3rzIiuOgAAABOIlVQthKGMWnwZ0g+eFzpJDnyw+ufdwDtGzVrVRqPLJwAAwHjnOn2P5GehOE5C5rVaPXReFiovhL9HtAY3vl9PWeBd9WuhuZB5V1cS/HZdzQtd0IvdzrOx/ePEcTa2LXY9T2uw/f3ZmEGlUh+r2FXdfe71PzOnNavQfd24juUet20WSjdGwZQp2bZZZ/X0edbFvaRzOgAAwFhatmyZ9thjDz3wwAP6v//7P8Wj8bkRAEZAHMe66aabdPPNN2vTTTfV2972tk6XBABDUul0AQCAjUs9eu5eNZtUaPYf8zb/PPuPftO4mbGlq0qLAgAAwIRW7DxuJHUZo660A3rDp89m4Zd2QjHpNkZSUNiezucAAGDSccGdkQjvuCC5/3Og444mrw4XGs+tC4Ks07rK7rzjlvkdyUuOYaOo/jqOk/C3C/Onnc9dAL9h31qtHhRPO5q7LubZZt5+WRd1dz7pTxvH9ZB4Scjd3zbreO6C55IC19HddXvv6sq/D17IPjcmAADAGDnkkEO0ySab6MQTT9See+6pRYsWdbokAGhw33336ZJLLtHcuXP18Y9/vNPlAMCQcdUHADA82YRKfmLFZv9Q4/pRmTMqTuyQSAcAAJhoYmvlR2TKP4mOHCNlnc+te9AxCQAATFBl4eEspDzUz0Au3O11OI9dl/OyMf3tR+lzV/bZ0Y0fhgrSDua5kLcLaXt30sm6mvvdwd2jLHgex0ln8zTMLSnZNu3i7oLpfvDc75yebe8d03WIb3p+fvfywqOhRtfV3XU2TzujmzBU0NubBc9NGCZhc7euq6v+nrg6y86/uA0AAMAoMsZop5120re+9S29+tWvVq1W63RJAJATRZHe//73a8cdd9QnPvGJ5IvFALCR4moPAGDkeB+Mc/0n0+VWtp5KT9M7cZT+R7+tr7PWyqrecSh/iEDGFDroGFNvwp7rMMQHdQAAgIkitlZVF/6R++hnVDFGYRoMGpbC/t1eV3VffyEADwAAMGEEQePEd4uQc0vWSlGUBKWjSIqieuC6bNs4TrYfwW7n7vOiH+bOQtbFALm7fumOXegenoW3/ZB5k27n2THdNmnwOjt3F6z3g/3WJsepVGQqFSkIsm38uuP+/ob3MBdaTzui5861Reg8Wy8vgF6pKOjpSepIlwfd3fkguR8mL3aMb/oL4VotAAAYfVOmTNHuu++u//iP/9D/+3//T6tWrep0SQCQOeGEE/TOd75Thx56qLq7uztdDgAMC+FzAMDQtT1h4LZz/SL952WTSbZ88YDjl9z6FgAAABNGzVqtj2PV/AC60osbww2zFPYPJIWqf9KM0mNGwzsKAADA+JUGqbMAuvfFvwG5ALkLkbvQuevuXTaWt0/SjGKIZbtHIWguv+u330m8LDRerM3vZl4WNm8WOPeD7P7YXqjdhcpzDxdwd8d1y4vHa9KF3ni1mjTwngXQW7136X4ueB50dSno7s6H9NMwvCQFfnf49Lxz703TA3HVFgAAjI0gCDR9+nQdccQR2nTTTXXRRRfpqaee6nRZACa5KIp05plnasstt9QBBxygLbfcstMlAcCwET4HAAyLafGqzubW56aSvFX1OQhvkmvAAhq3YyoDAABgYnFhpFj1zuOBks99oTGtL2744ZyBwlPe+sAYdQWBetIOoK6/ZNwsPAUAALCRc6FlBUFyfa2dzztpgNy6ruXpzyxQXvzc5ELVQwydlwXNlQbN/QB31qm8LCjudy8vnkv9zWgdNvdrcOvduO6cvYd151x8T11g3A+f+2F179i2Wi39DOreg+y8/Ofu4XdL9zq6+9uaSkWmqyvfKd0LsBvvfc606HjO7eMBAECnBEGgzTffXEceeaTuuece3XnnnXr++ec7XRaASWrdunX69a9/rcsuu0xveMMbtHDhQvX09HS6LAAYtkqnCwAATDBlk1LWKpmSSX/aJEDkzz8kkxFuG2lQEXJjvFZCXrcdAAAATCheZCYLnQfp86bhqPyHztYH8NYHknqMUW8QZOH2ZvftAQAAmChcINk26bCdY20WNB+wS7pb58LY7daTPTENP03Jsuxnky8gun2yq5DetvXLi+WfGXO1FI/pHas0eF52HnGc1BGGydguZO4C/L44VlytNh7TdU13IfY4rofgc2WV1+C6wZsgyHU8d++vqVTqXc4rlVxw3/g/S8L5XJ8FAACdZIzRa1/7Wt199926/fbb1d3drf33319TpkzpdGkAJpFqtaonn3xSP/rRj7RgwQLttddemjZtWqfLAoARQedzAMCQlU4f+J15ihtnky3Jo/682WjNpqFMyXNiQAAAABNZLCkqCSq5rzCWKoScSkNITT6/GikLtxfr4JMnAACYsIzJdw1vJu1yLtfxvFXwPI6TbdrsdJ51Ffe6mpuSh9zDbeeHoP1O415Hd9ep2/qfBQeo39Xjd1gv64buzjMbMw2QZyHt9D3NupsnK+vnaYxsrdYYPLdWcV9fvR7XKd09/G7kA/zesi7n7rjptkFvb+537oLnWdfz9N8Ld5xcuLxZ93PC5wAAYBw4+eSTtXbtWv3pT3/Svffey90MAYyZOI713HPP6frrr1dXV5fOPPNMgucAJhTC5wCAIUk62gzxr5FCxx9TNo6bJ/LWZ110TMNmAAAAmOBia7U+jnNfXTTGKDBm4M+EZcEX1+Wy2DkyFZSMbSVVrVUhDgQAADBhZNff0lCzKQaLrU0C5+7RLLzjAtgttslC5i5M7YLlaejZf14aNC8ZT1ISOjcmv09aU1aPe+59viy+D1mw2w+ctzpXd57p8Y23nwnD/PrkILkxba2WdDcvfmEy7TBvgiDpRO7/TtKu5y2/LJCOlwXPC+9hQ/A8PY7p6qofpre38Y5Czbq/AwAAjDNf/vKXVa1W9eUvf1l93pf6AGA0uS++fOc739H5559fv3sXAEwQlU4XAADY2BmZIJSNo5bb+D+ttTI2loy7jatbl06EGJM8s1aysaSwPpRVQ2dK4/Z14SE+tAMAAEwoVvWO47nwuZJv1YfNPv/5nS9d2Lxsfcm6HmPUnYbPs3vtFL5ECQAAMCG5sHQUJZPjUZTrXq5mgXIXlG64dqfGoLLXYbvZupYluu28z3vZcf1wdlln85JO56V1tMMbyxiThMQrlXxdcSyl4XEbRaVhdxtFsrVa6fhxf3+9a7rrwO4C7K6Te9Tq2mxj13VrbRJa7+5O6vUC6qarK+t4LklBV1fuva43CDGNX04AAAAYpz7wgQ/o8ssv19FHH60rrrii0+UAmAS+//3v609/+pMuv/zyTpcCAKOCq0IAgMEbSt7GNjxpyagkHJSsaLVT7onrnAQAAICNn1XS/bxaEmZqq/N5O6Fx77OjC7YH6TK3d6w0hN5W1QAAABsv43XtluuM7QWtc1ww3YWag6Chc3jWzdx7ZJ3MXSfuJh3Nm41ZGi73asqt8zqfFzuutzp+U+kXHLMxjMl3Ji8E4q33HjW8d7Vasq6MC3r75+xC6O1yQXG/u3l3t4KurtzvMut27y9z4fPieK624qHS881et+oaDwAAMEbmzZun17zmNdptt9101FFH0WACwKj6yle+otWrV+ujH/2oNt10006XAwCjgs7nADAB1Wo19ff3Zz83bNigWq2mtWvXKooirV69WuvWrVN/f7+q1arWr1+vWq2mKIq0du3a7HkURarValq3bl22rG/DekXVfkW1qqJavxRXZasbVKv2KwyMuitGlcCouxKopytQV5hOaMjIRXSi2KoaWUWxVXcYKLJWG6pxEvAxJpnHkhQGRl2hUS1K9rPWKoqlahSrmi6r2UA26JIJAgWVbinokjWhenqnyAShZs2apalTp6pSqainp0c9PT0Kw1CVSkXTpk1TpVJRGIYKw1Dd3d3q7e3Nre/p6VF3d3e2bsqUKerp6enErxUAAGDSiiVF1mbdz6UkgBQoCYi7AHrLKaOBAi+F9dln00IdVlI00LEAAAA2YtldCdPAsh+KdkFia239c1L6xTzjQtFqo5N4i89mprhf2bZpl3WVfSkwDXj7ofNcaH4Yd050tVlrk0B9Vo7Nj1n48qPrGN8QPHeBeK9zuavRLfe7kBd/H9n5Nas33T4XPE/D+y4w78YzlUo94J7WYbq780F0F4Rv9R4W1xE8BwAA40AQBNp222117LHH6vTTT9d//Md/6EMf+hDzvgBG3E9+8hNFUaTXvOY12n333RVwxygAExThcwCYgKy1iqJI1WpV/f39Wr9+varVql7+/7N371GynXWd/z/Psy9V1X0uOTkn9wSSQDCEJBgiEAJCCBchIjcRF0tR8IojyqhrYGZczgzCYtQRL+gCZ4bliJcVvHBTIogEEiVAQBGUoEIkQghocnKSk3NOd1ftyzN/1H52P7Vr16XPrbr7vF+usrur9uWpyvz87dP9rm899JDyPNeBAwd06NAhra2taTAY6PDhw8qyrN4myzLleV7H64cOHaofX105oiIfqMgGyvNMpszksr7yrK8ktuqmsTpJrE4SaamTKE0jRcZqOMi8CsaLUv2sUJ6X6nZiDbJCK/1MkTGy1tR/m4kjq04Sq5/lMsaoLJ2yolA/KzTIhn+QGRROheI6PncmVimr3tKyjI20d+9e7dq1S2maqtfrqdfrKY5jJUmi3bt3K0kSxXGsOI7V7XbrID1JEhVFUe/jnJO1VmmaLvI/LQAAwCnJScqdU78R1kTGVG9eNNPj82YMNOd2zanqTlUEz+RzAABwKghC8jp4riZvj4Tn1STxkQh6zvh4bHr2tOC8Ol9rdN4IzccmWc467jQtU75HJr/751+9Bq6axl6vtQrPx9bUCM/DMN4VxXC/tti7Gba3xOfhsZrhuakmzZtgmr2xdmRquzFmPVBvvo7H8FpOmpYOAABwMiwtLenSSy/V933f9+nGG2/UZz/7WV155ZXq9XqLXhqAbcA5p9tvv11f+MIXdO211+qqq67Sjh07Fr0sADhhiM8BAEev+sNG/aceN5xwXj/s/5eZMImy+ltFWf3Byn/cbXCwervwlHwMGgAAwKnFOadC0iC4DjRSPfncrm9YPdgIWsJAZ9LkzMaExtgYRVVoFFyhqtBwAjoAAMB2V09AD39uvqkvvMaaERXXj24kNm+epy0sb5lwPvP6b5bwE3Ca09LD87edw6+xCs9dUYxPK9dwGrp/bGQiexixWzsepTfP33g96u0b0/WMD86tHQ3SjRlOPQ/ukzHrcbrfv+U12jDCcwAAsGDLy8t69rOfrTvvvFN//ud/rtNPP10Pf/jDGUAG4JiUZam7775bf/iHf6hLLrlEV111lc4555xFLwsATig+1wEAsCHjfx4wcs7IyaiUVSkrp0ilIhXOqlCkQpFKxSrd8OYUyymSc1bODb+u7xt876Lga3UcV92qbR3/vzIAAIBTgk9qmrFRFETiktZDo7Zpl5Nil8b9RlJqjJJqsvroQoZvveTtkAAAYNur4mVXlsPv/SfO+Oujspw5JMK/kW8kiPZf/ffzhOfODWPttvC8GZ03p7BvRPgcra2nfxsfgftz+HOHz0nDa1Xnp55PC8/9xPNq6vjI6xE8FxMev+0ad2z566+t0TA49/ebJFmffB6+5lE0nHoexOj1ZPRQI07fyGsKAACwmcRxrJ/8yZ/UnXfeqb/6q7/SN77xDYafAThqzjmtrKzoXe96l77whS/oRS96kR7+8IcvelkAcMIx+RwAsDHVCPPhv7+H4XlWWpUuVV4kMkVXpU1U2FhlkSjPU1kbKYqsiqKUjJMrC+VuoMwVsi7RWrmmflkokpWtTlA6qTCJijLWoCzkZJSX0qAoNChyFUUua3KVLpMMCToAAMB25jQenYcTya2kxBgV9YNzBEfNqZ2BjjGKjZENzjGylg2sHQAAYCvyU86NtB5PWzsae7dcn0nVByGGkfLRxsc+5J7y+Mg5gkj9aISB/Mgkcn/c6nz1RPgwQvdxfBWUu6IYxudta6nC9JHrUWPqKLxcXR3e1YjEXVGMHSc8fnOaeb12Y2TSdBiYN5+zj8wbMboNYvTgBWpdV+trOA0xOgAA2CT+4A/+QE95ylMkSS972cu0tLS04BUB2IoGg4HuvPNO/eIv/qK++tWvqtPpLHpJAHBSEJ8DADaomuLjJ507o8IVyksjYyMNXEdyHZVlqqLoqohSWRnFxqooS1lTqiid+kWpslxT7Iz6pdXAFYqclS2NnNzwbzB2GJ/3y+EfdvJCGpSFsnIg5/qKnFXprJxzik0pS4IOAACwLZWSBkHw45nGbfRBMzUwH5tYGbDVNPVmfO6qqecD51Q4p4RwBgAAbHfN6deNx9quho7LFVLLlHMjjUwYH7memxR6zzASmQcBeLiOOuAOJ8F7zfBcVSReFO3TM1smtdfTyiWV/X79/YaeRxie+5i8un62VXhuomjkdTXGjEw89/uaOB77726aa5p2Hcw1MgAA2EJuvPFGvfGNb9TXvvY1/bf/9t/W30QJAHNwzumf/umf9MIXvlBf+MIXlKbpopcEACcNlR4AYOOMlVOkwsUqFalfJCplVbhUpYuUu0SZ6ypzXeUu1aDsajVLlbtEA9dT5noqlWrglpSVXQ3KrrKyq8IlylyqQdnTwC1JtqtSHWWuq365pEKJnKxKDc9RKFbhhrfcJcrLWEVpVZbMogQAANhO/LTxUo2p48asx+dtfxia549FLdv46Lx5TH/uoorQAQAATgnWrgflxzBZfCYfkVfhtqnC7Ho6t4+/w6i7LDccnhtjhpF1FVrXt+YEcB+4h+duhud+vX7ieZ7X62+cdH2yeZ4Pn5+1w/uqY08Mnarjjr1WPiIP1j3yHKwdDc+br0H1vEfuj+Px0LxavzR96nm4HQAAwFZx3nnn6Yd/+IeVpql+9md/dtHLAbDFfOADH9Av/MIv6Pd///d1+umnL3o5AHBSEZ8DADbEmGH8XSpS6SIVLpFzRoUbBui5S1WqI2fSYSSubh2KZ1pS7joqXKJCHcmkWi13KHOd6vGe8ipYH0bnPWWuI2e6dexeuFjOWZUu0qCIqwA+VulilUpVmkTORAToAAAA24SrJjb6AD3k0xZrzLF/tFsQCLVNPVd1/ixYS+s0SwAAgG2ijqH9ZPATpYq465g6jM19CO0jc3/95dxwunjLhPQ2IxF7FA2/j+Ph8cPJ38GE85Hn3Qzcg2nrrlq7C55DcMA6MnfOyQ0Gdfzuz+3XVfb7G3vNpJGofCRCt1Y2jOrDJVXPvRmeWx+eN/5bb2jqeUNryA4AALCJWGt1+eWX61u+5Vu0srKi17/+9YteEoAt4j3veY8+/elP63nPe56uvvrq+g3UAHCq4Lc+AICj4v+M4pzkZOSqmZOunj3p/wYS3mdHfjbGqnRWzg0fc7IqnaliHiMnK+fWsx9Xf1X9c+nc8G89zt/v1wEAAIDtwjVu0noYHhmj2BjZY/2lbrC/laYez0njYREAAMA2ZYxZj8CP5zVQML27Dr2b8bMPu/0nz/hQfY7o3ATht6rA21ThuYIoemQ7Y0afYyOMD+9z1Trq5xH+3DxmWUpFsf78gqnuktqnpYfnH39yI6F5c/q5j87bwnH/OoxF5nHcHpb74x7NmxAILwAAwBbQ7XZ11VVX6frrr9ff/d3f6R3veIfKE/VpPwC2hY9+9KP60pe+pPPOO09Pf/rT1ev1Fr0kADjpiM8BAEcn/FtIFYBLwwio7c8+/s8Mw79RDP+44oMeV90vJzm50b/lNI/W/DEYdkT/AwAAsP2EU8adc2r+2ccGt2M/mauPuf6WyvXHCj/13I1dpQIAAGx7RlqPpo8yKh7ZtzlZPTymD7yra0A1bpPCcxNG3VX8PRJbh9G2365x/8h0db+G5rrCAD6Yeu6cG43Og2O6MEpvnjPPJ75mI881fM1azlM/38b94T71LZz43jIF3r9GY+eeYOz/TRCeAwCALWTfvn16/OMfr2c84xm6+eabdddddymfco0G4NT1xS9+UR//+Md12mmn6ZprrtG555676CUBwEIQnwMAjpkPcKb9PWH9TySm9e9Jk+qd5t+R3MQfJp8RAAAAW1spKdfwCq8I4h8TfK0vLae9I3HWOxarSZfGmPqYRsOQxlVr8OvhahMAAJxywnh5AxG6mbZt233NwDyYLO4mTDyvj++j7HDCeXPaeLhtY6q78xMu/fna1hWuw6+z+nnkuP65Bdeg4Rr9tacrCrmiaH/xGuF5ePxmwG6MGU48nxKSj4Tp/n5rZZNkfPvmf59Zk88bj5OeAwCAreacc87RK1/5Sp1zzjl6//vfrwceeEDFpOs0AKcc55wOHDig973vfSrLUldffbUuv/zyRS8LABaG7bSlpwABAABJREFU+BwAsHFtnwA7bdM5yhw39o3mGme+/scm8h8AAIDtyEnKndOgGf9UfCge3DH5OnJSMNMyTdJIssYoatm+qCawcwUKAABOCVE0PgG7JUKfdBuJraXWeLx6YDwwnxGd+0nisna4zio8H5vu3VyL38ZfO/pp5n4pM8JzNdanauK5/IR1rU8Cd9V+pvE61OfJssmvR/1xk8H6/bGbsXeS1HG5sY0///lg3T/v8PXzsXqbxnPZMKafAwCALWbHjh36n//zf+rd7363PvWpT+mhhx6afP0K4JThnFNRFPrQhz6kP/3TP9ULX/hCXX311YteFgAsVLzoBQAAtgmnOSeRT87Uh/+zvs3Ew7n1PSY+zO8AAAAAtgV/mVlq/JIznExujJGttttw5BJOpdTkKY3+D00zL30BAAC2ERNF7ZO5Z03C9sqyngw+bZuxxxtB+MipG9PMp62lLfquFcXYeceeaxieh4+F64ui8fNV27uiGJs2Xh932uvip6r7wN6Y4bFanq9N02FEPlzA+MT0KBqG583XRlrfL7y/+XpOev1Gd5r++LzbAAAALJi1Vrfeeqsuuugi/dZv/Zae8YxnKG65ZgJw6ijLUt/4xjf0Qz/0Q/rKV76ivXv3LnpJALBwXB0BADbEyMmaQtYUknKVRS6jQsYNZGQVm74SGykyVlZWqVlTVkpWVokdSIpUqpQ1uQpTKnaHNXADyUiJHagsjUpZWVModn1ZGytXrH5ZSmUmo0zGlMNzln0ZFcNplKaUcaVUDlMgp3TBrxQAAACOh8I55W74tsNyQphjNPwFxzGnLFUM06kmnvu4vclV6yrER8oBAIDtzRgzDKCjqJ7wPTfn2qP1UFt83bLfSHDtp3FPCaJHppxPspHwvCjWQ3N/XxWGj5zXTz6vovN6nS1clqnM8/a1+annQXje9pyNMfXEc6kKyVvCc5umYyG/MUYmnfI71Oa0ewAAgFPMX/3VX+k1r3mN7rrrLr3qVa9a9HIALNDXv/51Pe5xj9NXvvIV7dmzZ9HLAYBNgb+RAgA2bJiHF4pUVPF3JqlUZDJZUyo2mRLTV2L7is1AiVlTYtYUmVypXVVi1hSbTJ3q+/pxZfX2qVlVZAaKzECpXVNqVxWZrD53bDJZk9e3WFn1+Iw/aAEAAGBL8dF56Zyacy9NcDueJk4+n/A9AADAdmb85Gxrh1H3LH6i97Tw3AfdYSjdsp+xdhhWWytZO/zZ39cMv6tQ20TRMJbfSHjeFsoH6xkJz6XRkDs8rzFyeT583AfkbU8/y6a/PmVZh+N1eN6YRm6sXQ/PjVmfYF6F8aaxrrHXKo7bp6G3nGeWebYBAADYas4991z9zM/8jO655x790i/90qKXA2BBbr/9dv34j/+43v3ud2vPnj3z/bsYAE4B/DYIAHBUjJyMClnlssPZ5IpMptj0FZu+UrOirj2krj2sjl0Z3swRxVpRqsNKzUHFOqzE9JXaVaVmtY7M65sZ/tyxR9QxK+qYFaXGx+sDRRoo1kCJGdRhukQIBAAAsJ246pZLWg0in/DXu0ZVQHNMJ1q/ipx1LL+msSmdAAAA25kPwKf9od0H15Ouk5yTimIYV4f3lWU9WX0kmg5i8zpCnxCd14/NWt+E6H1su7KUq27+PJJGtq3P3ZzIXn1yz6Q1jIX3oaIYex7G2pHtjbXr8biP1Jvr928aaAnM5V/fSTY69bzlv8nUqfQAAABbQBRF+uZv/mZdddVVuu+++/SLv/iLi14SgJPs5ptv1k033aQXv/jFetzjHjf8NyD/pgEAScNPpQYAYG55UaqfFRoMcvX7A62t9bVy5IjW+n3F0SFFUaQ4imStkTVGcRSr9H80MkaS/1ja9Y/UzaopP1ZG/s8yfntjrIykvHTDv0E5p7L6ON6yLBRFRt1OKhtZdTpdxWlHNuJiHwAAYDvx08+nfcaNkRQZo7wZ8VThzdj3YwcY3p8aIyupY63SxrY+Oh8eakpQBAAAsM0YY4bTxDW8HjJlOR5PB+H51Mfa7h+epP5ax8sTIuaRuLn5dRIflLdNW2/bLojhw7X6qeJqrMEYM4zVfVg+IS4vs2xynC+tT2wPY/bG9HM/ib45HX3k9Zk09TycJt/QGo0fbVhBkAEAALaB5eVlPeEJT9CRI0f0l3/5l/q93/s9fe/3fi/xKXAK+NjHPqZ/+Id/0BlnnKFnPOMZWl5eXvSSAGBTIT6f08rKin7nd35n0csAgLmUZaksy5TnufI8V7/fV1EUWllZqb+urq7W2/jHi6LQ6upq/b2/ra2tKc/z+vssyzQYDJRlmbIs0+rqqgaDwUKeaxRFStO0+tpXkiSK41irq6uKokhHjhxRr9ert/PbRlFU3x9Fkay1SpJEnU5n5PE0TZUkiZIkUZqm6na7SpJkIc8VADZqZWVl0UsAgOOicE55W8Sk0QnokTHjIc8GpzbW8bkxiidMQC8JzwEAwKnIT/muroVMFWfX10XTwvO2wDv86qPqMCSfFJ2Hj88T/fhzzBue++fQeBPjSIweBOIj4VEQrbcupYrTWx/317KNiecKr3HDaebVVPjW1yCKZOJ4fZ0uGPgRTkNvu3YOz09UBQAAoPPPP19PetKTdO+99+qWW27RE57wBF1yySWyLW/mA7A9/PM//7M+9alPKU1TPfnJT9YFF1yw6CUBwKZDfD6nw4cP69d+7dcWvQwAmIur/kDib0U1Wbyopu74qDx83H/vp4qHt/C+sizrm//ZH38RiqJQv9+XMUb9fl+2+uhf/zWO45H7bPDRwFEUBRPWzch+xpj68XA/fx8AbAWHDx9e9BIA4Jj46eK5pP6U6ZBGktVoiD51ynlzm2BbP0F97HiBXFLunMpqjVwfAgCAU4ExRs5P1Fb1iTBlKRPE2mPheTNQDzlXH2vmlPP1H+aPzv052tbmY/KWbet43MdEYVAehOcj65aGE89n/J7UDQYTw3RjzMgaw7DcleXw5+BW/9x8DtVkc9M22dyH522vc8t62qajz9oPAABgO3rkIx+p7//+79fb3vY2ve9979MP/MAPaM+ePYr8m/oAbAvOOd177716z3veI2OMrrnmGl111VWLXhYAbErE53M688wz9dnPfnbRywCAuWRZprW1NQ0GA/X7fR05ckRZlungwYPK81wHDhzQoUOH6m0OHz5cTzF/6KGHRqamDwYDHTp0qH780KFDWl1d1dramtbW1rS6uqqHHnpoYdN1kyRRr9dTkiRaWlpSt9tVmqbauXOnkiTR3r17tWvXLqVpql6vp16vpziOlSSJdu/eXU9Kj+NY3W5Xy8vLI4/7fbrdrnq9nnbs2KGlpaWFPFcA2Kjzzz9f99xzz6KXAQDHJHdOxZTwXJJsc0r5pPC8eX84OTM4Vtfa1qnn4Sp8gD53+AQAALAdVNPPnao42QfTeV49XMXSPvr2+zSniPtJ55MmdzfOuaHgPNScdu7PPy089+f0+4cxun/DYrgm54bheZ6PH7e5lgmPN1+H1p99VO7D8rYwvHpNp01EnxiUt+0zz2s+6XhcJwMAgG1m3759eu1rX6vv+77v0wUXXKBv+7Zv02mnncYEdGCbcM4pz3P91m/9lj7xiU/oZ3/2Z3XttdcuelkAsGkRnwMAAAAAgE3JBTc1vm8ymmPq4hwBjPW3avp567r8pwTNPBoAAMD2YowZhufWDkPqKJKpvsraesq5qULrOoI2ZjgVvCjWo/Np5wn2O2rVpz2OmBCjT9pfCia+N9fmj1eWw68zpp6Xg8HYfeF0cb+/aU7P9MG7D88nTS73E9njeOxxV5ayaTr9dQ+f45xTz5v7AQAAbHedTkd/+Id/qKc+9alaWlrSU57yFJ1++ul8MiKwxfnw/P3vf7/e97736b3vfa8e9rCHLXpZALCpEZ8DAAAAAIBNaywOmsBISlsmmW9UXEXnRsPopp7eqfYQ3mmO6B0AAGC7qa6T6gnnQShufIAexsvODbdvhtUjh6yOcRwmR7pqEnt4/rap46Z6Lq75eFmux/TV9ehYkO2fe1mqbJ6vZT3N87dNJw/D83CyvInjqeF5tcPkMH3Gvq1ROgEVAADARB/+8If17d/+7Tpw4IBe/OIXa/fu3YteEoBj0O/3dccdd+i///f/rttuu007duxY9JIAYNPjs18AAAAAAMCm1BZ8e80UxhgzdVr5vHx07gP00QW5sXUAAACcauqpjtaOT3isYuwRfjJ4y5sKTTUF3fjJ6ccanjtXTywP7xsLv/309TCgH92gXnO9bXNt1XFdUUyenq7h1HGXZaOHb4bnzrWG5z4oN1HUGqvX20eRbJJMfXxqTH60U88BAABOUWma6nd+53d022236dd//dfnHqABYPPp9/v6+7//e7361a/W+9//fu3YsYNPMwCAOfDbIwAAAAAAsCnV8XnbH2+aUyIbX4+Wadya6xlZG39UAgAAp6gwQG9G6CNXSFXYPXbdFAbdQWh91IIp5CPnqsL3cN11xO2j9Gpf04jBFW7bXFsVnbuimH5NWIXn4TYjEbn/pJ0w/m68LnV4PiEInzbV3BgjW01Nn2Rs6vkG/ju0BRnN5wMAALBdnXfeeXrpS1+qlZUV/Y//8T8WvRwAR+mv//qv9Zu/+Zt6/etfr4c97GGE5wAwJ+JzAAAAAACwKYVTz6c5XuF5eDxrzMzjzbs+AACA7ciE4XQQoI+8ic/H4NW29aTzMDg/1j/sTwrPffju1xSeLwzPh09mfR0+Vp+0viA8V3iMtqUF8ftI+F4dv+3TfHz0PjLtvO018tv5yfGT1rGBqedT72tuIk2ekE6sAQAAThHXXHONrrnmGh08eFBvf/vbF70cABv0kY98RJ/85Cd15ZVX6lnPetailwMAWwrxOQAAAAAA2JRK51Q4p1LDyLucsm3bpPKxAGfaVMpwGmXjVm+i4bTzslpbOWNNAAAApwIjjcbGwWTx4UOjkfrI12Plw/PmdHUfl0vj554Unof7T1mfK8s6Kp829XxkMnozZA9eExeuozkNPgz1G+r4O4oka8fWYvz+kwLxFkwtBwAA2Jhdu3bpW7/1W/WsZz1LN998sz75yU/yaYnAFvG5z31Ot956q5Ik0Y/8yI8w8RwANoj4HAAAAAAAbEqlpMw55dXEysJHRc7V0yubofjIr4ebvyz2PweRUvMxa4yshr8wCad3hlPOC+eUhesBAADAaGDtA+ooquNoTZvifTT8tPOWCNyV5Xqc7W/VPnV4Hq4luM6cOM1bWp907qPyacvLc7miGI3vpZHwvBZMRTfBa+UD8iYThOkT43JrZZNk6us9tu8JjM/JOAAAwHa1d+9ePfWpT9WP/MiP6I1vfKP+/d//XUVRLHpZAKa455579Cu/8is644wz9PKXv1y7du1a9JIAYMshPgcAAAAAAJuSn3Zeajhx3P9cSIokdY1R11qlxigxRlEVo880JarpGCNbhT6RNDyupNw5rZalCq1H6GGQDgAAgMBJeIOemxCA++BbUTR6zVeF53WU3nxjojQ9vK72d0Ux8xqwHAykslyPx4Pj1nG5D+HD8DyKhrcp4blfp4kiGR+XN6eeR5FMHNfnmfyUGo8dj/B80rU2U9UBAMA2tnPnTl177bV61atepR/90R/V/fffz9AKYBNyzinLMj3jGc/Qvn379JSnPEXnnnvuopcFAFtSvOgFAAAAAAAAtKmD8+prk09Xwo/DTKxVVpbznaARvyxb2xqv+/uasTnxOQAAQDs37/XY0R4/z1vurD4hJ4omP2bt+tp8DDTPp9k4N4zOi2J9cvokZSkVRWtsbZpBfDM8j+OZ09frQL0Z0IfbWFu/Dm3/Lfzk9fCxiRPU29YgTZ8QDwAAcApK01Q33HCDHnzwQf2X//Jf9NM//dN6zGMes+hlAQiUZamXvOQlev3rX69nPvOZOv300xe9JADYsvjNEAAAAAAA2LR8gN4MvU3LVxP8fDRsy/6TjheuCwAA4JQWRcd0DbYhzk0Oz6dNCpdGYmsfX6ssNxaeF8XMqe5lvz827dzH5fV9RTG8uzHx3G878SlU0bmJouFkd7++ICK3STKM2KdNGW+bQr6RyeRMMQcAABjjP73mu77ru/TEJz5RN954o2655ZZFLwtA5YEHHtCP/diP6YUvfKFuuOEG7dmzZ2SwDQBgY4jPAQAAAADAplNPPdeECePBL4XDXw9P/FVxNe1yGiO1/7J50i+gfYDOR+gCAIBT3Yn+g71zw4nijSne9bVby/lHruv8/hoG3845qShmX8eV5TDs9tPMZ2zvBoPxAD6Ybl7z0XkVkvswfdr0cWPt8DYlLA+PNe04hOMAAAAnhjFGnU5HL3rRi3TmmWfq1ltv1Z/92Z8telnAKe/LX/6y3va2t+nSSy/Vd3zHd2h5eVmWT3MCgGPC/xUFAAAAAACbUqFhfO4DdGl8+nk9+bwKaCZmNHNMZ7TGbGhqZympIDwHAACnOHOip2D7NxE6V8fiZo5Qe2T/4U7D+/2x5j1vFaDP84bD5jamLTz3z8FaqQrKR9Y28UkF09OnxOdzTSVvPH5SgnSCdwAAcAo544wz9KxnPUu9Xk8f/OAH9Ud/9EeLXhJwyvrHf/xH3XLLLTLG6IYbbtDevXsJzwHgOIgXvQAAAAAAAIAmJ6l0TmUVGbXGPo3gPIzRj4adY3/nnGRMPZWd+BwAAEAj8fRx/VSYRnjeDN1HzuXfSFg97oJ9Fd7vJ5nPWqe/Dp21rV9P21T2RtRtjBk+jzA8t7Z+Xq5xjHA/v+3UqeczIvKJbxTYQHgx7XqZj6wHAABY9+hHP1r33Xefjhw5ottvv12XXXaZLr/88kUvCzil3Hnnnfrbv/1b3X///Xryk5+sSy+9dNFLAoBtg/gcAAAAAABsOq66lRpOQHcanyQpVSGORiegG41OSFcjSmpjtD75fJ5kxsfxfp1kNgAA4FRmjJHzAXOeH5+D+qnjVXReh9PGDMPwINSuo+dqDa4o1sPzcJ/q/pmBfHV8VxT15PNWwSfnlOHzbgnP6+3bwvNpU9yriecmitpfI//6xPHUOF1S6+MbDsanTVY/0VPwAQAAtpinPvWpOvvss/X+979fH/jAB3TGGWfojDPOYOoycBLcfffd+ou/+AsdPHhQj3vc4/TUpz510UsCgG2FqxkAAAAAALApOUlrZal+WaotD2qG4sYYJcaM/rIjDI6q6Gj8RMP7oubxWtbjhVE8AAAAJFOF1Mdr+rUrivVIPIi5XVGMhud+IngVZ9fhubQeW/vwXJockofn9sH5rPA8mFheb+cD82bkbe1wm0nh+aQ3WkbR8LlFUWvY7cpSJo7bp57PM4X+aMInAnMAAIC5PepRj9L3fu/36v7779eNN96olZUVlXNckwI4Os45ra6u6i1veYtuu+02XXTRRXrOc56z6GUBwLZDfA4A21jzDz3+5+ZX/33bH4fC+9tu4TYn29Gsbdo2ba9L2zkBAABw4vmJ4uHPk4xMPlcjGvfXb37ypf9+0rHC671gkmVzHT6Eaq4TAADglGbtegh9DFw1RdxE0fpEb6kOyD0TRWOB+ciEdGkkIG/u33ruatq5GpF7k4+9XVmqHAxG19QSnstPMG+G59W2zXMZY4bBefWaTlyHP07zNW9c87au60RMKuf3pwAAAGPOPPNMvf71r9c//dM/6R3veIcefPDB2Z/GA2DD/P939aY3vUn33Xeffuqnfkove9nLFrwqANieJv+2CgCwZcVxrB07dozd3/wHbNs/aGf9I/do9jlZ2sLwSQH+vPvP2gcAAAAnRuFcfZ05cE5HWqafN6PzxBitTTrgtGs6/yZEScvWjgXnk/jwvNRwajoAAAAkWSubJCrzfBh+z/m7Q6Pq+irP16eZe40J5GMhdVlKzq1PFw/3c276BPOAn5o+MnW9ba1VDO7yXC7Lxu6vfw4nm0ujzyv8ZJ5mKF7tZ4yZGp7LGJk0Hb4ebc8nfM5t18P83hMAAOCkSdNUv/mbv6nXvOY1uvHGG/Xc5z5XF1988aKXBWwrg8FAb33rW7W6uqpf+IVf0JlnnrnoJQHAtkV8DgDbEBE1AAAAtrpCw6i7mfy0JUAmiMeN//ko3yBZ7z+PTfImTAAAgM3CGDOMtqNIpnrzoGl8Ak14BWWGO62/GbDatxmWu7IcnWgePu6PXU0hrxXF8Fxzhuc+AnezJp77GLws60jdBBPMw9fCTzY31g7D9io8b24/dr5qn7Zp5c3jt517bNu2OP0opp6fkEnpAAAApwhjjOI41s///M/rV3/1V/WOd7xDT3/603XdddctemnAtnD//ffrj//4j/WNb3xDr33ta7V3717ZY/xULgDAZPxfWAAAAAAAsCnNk3abxvetKcwGInE//XzSu/Vd8NVp+ClAm+WTgAAAADaD+o2BUbQeRvuJ39V9/qYoWp8E7iP1Znju3EjI3RqeN7/3n5pTTUSfyblhAF6WUlGMHy+Mwf0u1WR30xLEj0wuN2a4XbWvCZ9Hy9r8eUz42kwwdwx+vIJx4nMAAIBjtnfvXr385S9Xv9/XH/3RH+k973nPopcEbHlf+cpX9IEPfEDf+MY39MpXvlL79u1TNOETogAAxwfxOQAAAAAA2HRcNRXTBT83meBrmMBEmhCht59IkpRUYZCRlBojOyWqaQboAAAAaBFE5nWELbVPL5dGpqIbqQ7H28Jz0wzQwzcEVsG6/zrzjYLVtiqKepL5WHjeWLPL8/Vp5VPC85F1VwH72HMPpp6PRfkzpp7PE4ObloB9Q5/2AwAAgOPum77pm/TsZz9b55xzjj7zmc/os5/97KKXBGxZX/rSl/SJT3xCX//61/W0pz1Nj370o5l4DgAnwaRBXgAAAAAAAAvjJJVBgOTvaxqbfG6MouYUyWlhjTGyGgbnqvYPY/ZpSY6TVE5YFwAAwKnMGDOMuK2VkeqgO7y2qqPwIPY2w53XN2oJsMei6TAw99/7SeazBNv6W+Nk45PNnZPz09EnhOcKv4bHaQYQwdrr84QT4ydpTGGfZOJk9CmT14/W3FPYAQAAIEm6/vrrddppp+mWW27Rrbfeql27dumiiy7iTYLABtxxxx36xCc+of379+vSSy/V9ddfv+glAcApg7f5AAAAAACATSOcTpk5Nxagz6OOx8OgafQkY/f7faw0cep5M4R3kgo/oX2eqZoAAACnEOMnfftp3v4WvukvDKB9nO33iaLRsFvrgXM9ndxPOfd8TO7j8Fl8pN6cdl6txzQjcn8Ov97mdWO1bTMeN1VU3jx3c9/6NZsifB2mxt7hOo+DmUeZ4zyEVAAAAKMe97jH6UUvepHuu+8+vfe979UDDzygcp43UQLQ/v379du//dv627/9W11yySV64QtfuOglAcAphfgcAAAAAABsOs2Me9bUc/9zFN7vY6Zm5BJMoPRRjjVGnWrquZUmTj9vm8TOn4MAAAAm8yF2HUxbOwyxo2g9Mm+E6Wq8sc8EYbqPxV1RjIbnfnr5vOF5UQyPVe0zMvU8COebXJ63P88qljdBgG6qoHwsPK8P5kZfoySZGZWbJJGJ4+kht78Gbll/6wT2ecwz2Zy4HAAAYMMuuugivfa1r9Xdd9+tt7/97Tp06BBDLnDS+KEq4W2zc84pyzL9wi/8gg4cOKAXv/jF+s7v/M5FLwsATjnE5wAAAAAAYNNxGkbdLvg5CyZStmUtPsAxo3dOP1H1uA/O/dfYmNZfmmTBJHYXTD0HAADAFFXwXMfYXnNyubQ+jVzVGwKDCNyH5WOBeRWej00Tn8Rf07WF59LY1PV6tzwfW68xZjw8j6L1aeqTQu8q7PAxeB3hT7l+tUkycW2t2rY72kCc8BwAAOCE2blzp9785jdr//79+rVf+zV99atfXfSScAopy1JZlml1dVX5hDfbbiZlWep1r3udduzYode//vV65jOfueglAcApifgcAAAAAABsKs7fgrDHNb56rRG6NvYLD7+9raY5Niefj63POeXOqQjWCgAAgMnq4LwlQh+b4F0F2cZPSK8+raaeeN6MIYLwvBmRT+LKcjj5vDk93RiZOJ74HJrRez1FvBmeB5PaW6PsKkz3U9GNtRPP2zjh8JiLmEhIXA4AAHDCmOqTgn7+539enU5Hb3rTm/QXf/EXi14WtinnnIqi0GAw0OHDh3Xw4EE98MADWltbU57nKub9NKkFePDBB/Uf/+N/1HnnnafXvOY1Ov/886d/KhQA4IQhPgcAAAAAAJuKk0bi7klMFYuP3Dd8YPgHmw2cM9y++f00pXMaBNPQAQAA0M4HNdUPw4i6mvZtomh488F2GG37CeLOSc24/CjCcxXFSMwu5+p43LRMKfchfJllo/cH6/TXpSaI5evn2aYsh4/58DyKZi67nno+j5br5HrNhBkAAACbkjFG3W5Xr3zlK3XmmWfqve99r/7gD/5g0cvCNuGD836/ryNHjujBBx/Ufffdp/379+vgwYMqiqIO0rPGv302iy996Uv6xV/8RV1yySV6+ctfrt27d8tO+qQpAMAJx/8FBgAAAAAAm4pr3OY1Z4rTKpx0Pu8vS/za5sycAAAAoPUIvX7DXxhKt03z9oF4U1kOp39PerxNtU8drAfraQu2/f2uLEfC9zri9vv6cD081iRV7F6/YXKOINzH+fOE4yOR//iDM/efdEwAAACcHGeddZZe8pKX6NGPfrTuuOMO3XjjjYteErYo55zKstRgMKiD8wMHDujAgQM6ePCgjhw5on6/X087z/NceZ6r9P/W2kRuv/12vfe979U555yj5z73uTrjjDMIzwFgweb4DD8AAAAAAICTx4Vfp0wVDxMYY0wdn0eNx+ZhGt+3BTZtv3AP10qSAwAAcAycG7/eqsLysaswv62PyOcJI8Jp50Uh59xo/N4Wnls7DNbzvD5HGKqPhOfWjl4PTgq2/aR1f/wZ8bnRBieWh5PXm8/naBGfAwAAnFSPfexjFUWRPvWpT+lLX/qS/uzP/kzf8R3fsehlYQtw1b+PfEw+GAw0GAzU7/c1GAxa4/KyLJXnuYwxKsuyvkXzfvLSCXbzzTfr05/+tKy1uu6663TJJZcsekkAABGfAwAAAACATcb/gtwFodG8c1aMMYr8FM1599Fw2rnfx0/hnDvQmRLIAwAA4BiUZf2GxDAyd2F0Pmd47rdzVXguaWL4XYfhzg23Lwr/wPD+YJuRMNza4dpmraVt3xamOubIdlOec32ktgD9WKYCzprMTpwOAABw3F1++eXat2+fPvaxj+m9732vLrjgAl155ZVMe8aI+t9I1ZTzMDpfW1sbic5D4TW8j8/jeJgR+mNshvj8jjvu0Dvf+U7t3r1b3/d936crr7xy0UsCAFSIzwEAAAAAwKaSVTF3IanUBsLzxteN8r9wn3v/ap1OUumcIqIbAACA4yeMp/3Ucmk47VxaD8LnOU61fx2SGzM9/K6CHlcUckGkYXzo4yef+2P448xzPRhFMtbKRNHsINxamSSRwuhj2hsf/XpmBfDHW8vkeAAAABy7s88+W8997nO1Z88e/Yf/8B/0J3/yJzrzzDPrSBinrjA6d84pyzKtrq5qdXVVa2tryrJMRfBvJj/t3Dkna+3EsNyH6IPBQGmaLuSNpn6dBw4c0H/+z/9ZV155pV784hcTngPAJsPVCAAAAAAA2HScpJWy1CCccDnnvkZBQO6jpXBSZPh99dhGfonu11FoPZQHAADA8VXH5uGkb39tuJG42ofr/iYNw+8JjA95qlDdVdePJgjFTRWQ1xG6JEXRzCDeH8NE0exp4lWgvqHUY8IxTVvkPs/E+GM8LwAAAI7d8vKyrrvuOv3v//2/de211+ov/uIv9KhHPUrS1voEGjfl+nMrPY9FCl9DH5yvra3p8OHDWllZqaeb+3jbB+dtx3HOjbzufnt/jCRJVJalrLUn9b+PX9t9992nSy+9VH/yJ3+ia665RsvLyydtDQCA+RCfAwAAAACATcc1b3ME6K2Tz5u/GA9/nvJL80mPtJ2f+BwAAOAoRZFMUUy/nvLBhI/Iwynos/h43E8+d249Lm8RPlbmuVSWw9AiDM/jeDQ8bzw+8dhVnG6TZL5J4ca0T0efEO3UQX3b48Q8AAAAW5q1Vpdffrluu+02PeMZz9CrX/1qvexlL9PevXsXvbS5FdW1uamuoc0GB4JgOJW83+9rZWVFKysr6vf7yvN8JDQvikJlWaooivoWRZF6vV79evvtwgn6RVFoMBhIkuI4VlEUWl1dPenR99ramj772c/qRS96kb70pS9pz549snP8ewsAcPIRnwMAAAAAgE0ljM3lnAoNp4zPIzFGmTHDr9W+00SSetbKSFqa55fYzqnUeHBOgA4AAHCUjJl/CrdzM6eL13zUHkTrbRPPjQ/Bw6l//b5UFKP3VzH4pPB82rqMtevnnyM8N1E0DOGb283zOgWfHHRM2/i1zHONTDQEAABwQvlo+Oyzz9aHPvQhvf71r9edd96pH/mRH9Fll1224NXN5mPnoijG4nMfFhOlj/NR+WAw0JEjR3TkyBENBoORwDzP85FbWZYqqzfRRtW/f4wxc00x9/9GKIpC/X7/pEff3/jGN/TRj35Uv/u7v6u/+7u/0+mnn87/ewCATYz4HAAAAAAAbDou+Oqcmxp3Ww2j84FzI9PPx34l7dxYGGMk2eq+ZorU9itt1/har3HK+gAAANDOGCNnjIxmXE9tZNq5314aTk2vwvO26eQj4bm/TizLYUjeDM+tPbqJ59X+ktbj82nbV+cxpiVSn3BdPCkQN9Jca5y+oGMPPVqfCwAAADYsiiKdf/75+umf/ml99KMf1Tve8Q495znP0dOf/vRFL20qH0XXn24ZRM5hhN721YfHp0qA7JxTnucaDAbq9/taW1tTv9+vfx4MBsrzvA7Pwynn1lo552StVRRFI69znudK03Su84dvVJ0nWj8ebr75Zn30ox9Vv9/XG97wBp1zzjkn9HwAgGNHfA4AAAAAADaF+o8PkrLql9zzRN1Gw3DcaEZ03vILcmOMfI4z69fnbWtxkopgnf6jYwEAADAnf+1krcykidzODW/zBuh+e3+sCdeBY+G5c3J5PnKfj8ynhucT1uXj77bp6pOMRO5tz6t1pynH3QzXppthDQAAANuEtVaPecxjZIzRbbfdpo997GPKskzPetazNu3vJcOgObzeX1tbqx+z1tbRtP/qv29ORQ+f52Z9zvPyr0dZlur3+3VwHt6yLKtv4ZRzPwE9jmOVZak0TevXx7+u/vuiKMZ+d938uSxL5Xle/7fwU9e73e4JfQ0+/vGP6wMf+IAOHTqkF7/4xXr84x9/Qs8HADg+iM8BAAAAAMCm4aeI52qfMj5V448OxpjWaecju4S3cP8Z6wt/LjayRgAAAIwwxsj5r9ZKRdG+4aQwvSmcdj7lnG3heb1vIzyvb23h+YR11eG533cOxlopiupzzbXPhO3CiesAAADYfi677DLt2rVL73nPe3Tbbbdp586duvrqq+eabn2ylS1v1izLciSmltZ/p+vD8ziO6+/DGN3ftmqM3pxInmWZ1tbWdOTIER0+fLiedp5lmQaDgQaDQf1a+SnnZVnWE+J9HB7G5mF8Hp4zXENZloqiaOQ+f/wkSeq1dbvdEzZ05ZOf/KQ+/vGPyxijpzzlKfq2b/u2434OAMCJQXwOAAAAAAA2lWbcPQ/T8tVWX91GAvQNrXSdc07OmKPeHwAA4FTmw3MjDQPweSLzCcJ9Jx7Hx+CNa8Qyy8JFrQfn4bZzhuRqTEqf6xN9omg9jJ9n+2nraUbyR2GeVWyFuAcAAGC7Ov/88/UDP/ADesc73qHf/u3f1vLysi655BL1er1FL02SRqadN6/N/SRuH6FnWTYSVUuqA/QkSRTH8dj3zSi9LUaXFn/NGj53H3eHwfnBgwd16NAhra6ujkw69/H3YDCow/NwUny321W321VZlvWkch+fh3F6uI4wIm/G5801Z1mmJEmOe3ju13HXXXfpt3/7t3XppZfqFa94hR7zmMcct3MAAE484nMAAAAAALBpNKOctknj04TRuf/Zhb8Yb4ToRlJkjDo+dppwzInr8x+LOmNdAAAAmK4O0ONYyvOj+2QZP+lPkpswQd1E0XjcXU09DxYznELuv1bBhmnG3BNC+ea+cz+XaVPSnRs/zgmMaKaG7aFjDNwBAABwbJaXl/WqV71K73rXu/SKV7xCv/7rv64nPvGJSpJk4dG11P6GUOec8jwfmdDtg2k/Cd2H2H7KuQ/R4zhWp9NRp9NRt9tVmqZK01RJkihJkpGJ6T5In+R4vz6T3vzqn9tgMNDBgwd1//3368EHH9ShQ4e0srKifr+vfr9fh+eDwaCO1P2+ZVkqjmN1u936eZXVv0f8efM8l7W2NfZvu2/a8wiDcx+hH4/Xy09XP3DggJ73vOfpDW94g66//nqdfvrpx3xsAMDJRXwOAAAAAAA2DSdpEEQ8a2WptZaPZW3+mtsYM4yGpLEp6MMDO79h67F8tL7RtQ4P7bRWllqaErADAABgtjBAN85JRbHxCN2Y0ZA8OHY9jbzJOblgH1NN//PxeB1izxFb+Mnlxto6dHct62mync543B4usXGM+vk0nke4hmO2CWIlAAAAzGat1Ute8hLt3r1bP/ETP6Fv//Zv14//+I/r3HPPXfTSJkbPPrBuBtR+n7Istba2prW1tTqEDm8+SrfW1lF6mqbqdDrq9XpaWlrS8vKyer2eOp1OPTE98p82dAKVZamiKDQYDHT48GHdf//9+vrXv65/+7d/00MPPaR+v19PNvdh+TxhePM1CqP9KIqmHsdH/caYkWnnzanm/nhFUSiO4/qNAHF8fBLDQ4cO6ROf+IS+8zu/U5/73Od04YUXTpy+DgDY3IjPAQAAAADApuEaX5uPZcEvz2NjFGk0Mp/4h4MZf1AwLftajQbpWcu0yaOayAkAAIDprJVNEpVS/bHxzaC8vnbzoXUVkLuiGJt6PjU8r7iyHEbjPjyvwvGJ4fmksMPa9fBc49F4kzFmOO3dP5dj5T/p52SF4wTqAAAAm4IxRtdff70+8IEP6K1vfav+03/6T3r5y1+u5zznOQtdV57nUx/3070ljcTUYZTeNhndR+iSRr76MD383ofp3W5XS0tL2rFjh3bs2KHl5WUtLS3VcboP08PfE0/6fXO4nn6/r5WVFR0+fFgPPfSQHnroIR04cED33XefHnjgAa2trY09J3+MSV/9JPe28zbX4CeTT1qnfw7hvs2QP9y+KArlea44jjUYDBTHscqynDlJfpaPfOQj+oM/+APde++9+rd/+zctLS1tiun8AICjQ3wOAAAAAAA2jaL6BXiY6MwMvI0ZTsb0P2oYpttgGvrEXSXZKioyknZH0ewJ6D7oqdbmz1A4NzwnAAAAjlodm1srG8dyRSFTltOv6/zkcudGtqsngE+IsU01ldxVQYyfPG7CyXsbCLlNFI1MPJ91LVoLYvW5ztM29Vwavg6aHMgAAABge4vjWGeeeaZe/epX6/bbb9dNN92kf/7nf9ZrXvOaha2p7Q2bZfAGTT9le9JU72nHdc4pz/N6irjXdj08aWp6FEWK41hJktRxup+YnqZpHVz7c/nQfHV1VaurqxoMBvX5/bTz1dXVersjR46oaLw5NlxTkiRK03Tic2xOJQ9D/CzLpu7bfP2cc4qiSJ1OZyTQ93G5/2/RfA3LslS/36+3PRrvete79J73vEeS9Bu/8RvasWPHUR0HALB5EJ8DAAAAAIBNwWk9Og+jbqn9jxQTNWL0mZtrfXp67KdbTlkj084BAABOrHoyXxQNr9WqqHziFHEfnZdlPSHdhNPK2+ITa0empPvtfYAuP/GwLeRumXoe7lfvM+uNkNXU8w3H4pO293HKMcbn9bR3AAAAbDlRFOmss87Sk570JHW7Xd1+++164xvfqNe97nUTp2OfCM1p5uH9ZXA93dzOPz4p2G6ew0/qbtve398WYTdvIR+b+2nfPrh2zinLsvr63R87DNqLotDa2pok1VPa+/2+yrJUFEX1dHVJstaOhPhtr9+k+yetPZxQ7l+bJEkUx7G63a663a6SJKmnnfsgPXwO4TmMMcqybOT+efnz/8Zv/IYOHjyob/3Wb9UVV1yhCy+8cEPHAQBsTsTnAAAAAABg02j+0WFezbzGtNw3dX//C/8N7ONjeWJ0AACAE8MYI2etTBwPw+qiGIbf7RvX988Mz6up5K46ng/GjbV1dD0yNb2hLU7x+9fnnrTOcJ9qUvrM0DsIUmbG5cdj6vlxCNgBAACwWGeccYauvfZaWWt18803661vfaue85zn6GEPe5h6vd5JWcOk6duTgnD/1U/hbkbrbV9nnd8fy/MTw/06fCCeZZkGg0Edj/to3FpbR/t+36WlpTrg9nG6v0VRpDzPFVdvMjXGqCxL5XkuY4yi6hOP5l1/842qk1638OdmPJ4kiTqdjpIkqSe912/4dW4kVvdBvH/tkiRRURQj/03mefNsWZb6+te/rne9613av3+/rrzySj3+8Y/XxRdfPHNfAMDWQHwOAAAAAAA2lXAC+tEymh2gG0m2mnRugvvCX54392/+waMQ09ABAABOpDAkt86pHAzGPuXGBVPKXRietx1PkqyVy7LhZHIfjhuzHp5X27RqhufVtsYYmSiaf2J4GKrPMBKUnOjw/ETYrOsCAADY5nbs2KGnP/3pOv300/W6171OWZbpuuuu0yWXXKLdu3ef8PO3TfV2zinP84lTu8Pp521T0z0fS2+ED87DyeRra2saDAbKsqy+f2VlRZI0GAzqeNuve3V1VVmWKUmSOiaPoqieLt7r9erA3MfpbbH2rIC77bmF0879/v419vcVRSFrbb2GOI7V6XTU6XRGzhlOPvdTzf2x/M9+DeGk96Io6knwk2RZpq997Wv6q7/6K/35n/+5/ut//a+66qqrtGvXrqn7AQC2FuJzAAAAAACwqfhp4s1fr0/7Y8JIPF59HxmjyBgV4R85/C/YnVNirdLGL/nnSYVc42vzewAAABxffkq40lSmLIcTyxuPO2kYhk+4ZqyDcj+V3E8898cPo/Eq1GjjmgGND9fD8HzKOvxaTGPS+jxMdb7JG5zcieXzTDwEAADAYkVRpKuuukq/93u/p1e84hW6++679fznP19PfOITtWPHjhN67ub0cmk9Pm97zO/jJ4W3xesnUxRF9TWvMaaecu61heU+SA/387eNaovz/VT15nY+Pg+D8TiOlaaput3u2LbhesObf/398w3v7/f79XEnWVtb01e/+lX9yZ/8iW6//Xa9733vGzk/AGD72MinSQMAAAAAAJwQ9UeBVrcy+Dn8GjKNr5KUhL/Urzds+cV+Y+L5+t1H8UeA5tcNTtwBAADAbH6yuO12hxPGN7ivoqi+LgzjdT8xvQ7RN3DscNq5CSPyspz65kSTJDJxvPFQfNbaTnZ4voFwHgAAAItjjNHZZ5+tD37wg7riiiv0+7//+/qVX/kVFUXROoH8WNW/651x3HCSd9v2eZ5PPf6JFkVRPSFcWg/Qw5+n/T7ZWqs0TdXr9WZOC2+a5zmG08r9Vx+/++i81+uNhOQ+Lg+P76elNye1+2NJw2nm094M4NfywQ9+UN/1Xd+llZUVwnMA2Ob4rRAAAAAAANg0nIa/qD5UlioaAfpG+LDcVre2KZD+8fDeWb8oGQvNJWXO1dE82TkAAMCJ5QN0m6YywUTBkW20PlncBBPJ6zikmoBef+8fnxF3j0Tr4X4bmDhufAQ/7z7zhjXHKcAhKgcAANjefvAHf1Cvfe1rJUmXX365/uEf/uGEnMdPOG/eF0bPkyajzwqv/b8BTlSE7oPrZnzuY/JZA0yiKFKSJPUE9GiDb56V1qecz+KPH8exOp2Out2uut2uOp2OkiQZm4Y+be0+UvfPuygKZVmmOI7V7Xa1c+fOiTH55z//eb3iFa/Qz//8z9dfAQDb28beVgUAAAAAAHCChEH30f7ZYGyS+Yxtm79st+HE9Ana1kZ4DgAAcOL5cMJE0TC2Nmb4tSzbY25/bRc8Vg4GUvWR9GrE6HOvw8frfuJ5GJMUxfSp51G0HqBvwKww3r8mfAoPAAAApjHG6JJLLtFP/uRP6tnPfrZe/epX6znPeY5e85rXaHl5+bidpy2c9tOxfeDsw2YfeJdlOTPs3sj1rp3xpkq/jiiK5JxTmqYaDAaK41hlWSqKonpSuNfpdOrH/M1PDJdUB+dJktTrjeNYaZqqCN7MOu/6/evjXxcftidJMrJ+/1gcx/WtGZ/79fjo31o7MnXex+n+fv9zmqbqdDqK47j1v89v/MZv6LbbbtP111+vN73pTdqzZ8/M1x4AsPXxf+kBAAAAAMCmcLymh8dVZDTya/CWP0qYYLuu/yjROdbYer9zKqsJ6AAAADhxfABh4lg2juuY28RxPem8vvnp5EF8btYPtLHwvApF6mjdT1VvROHTrgdtHG84OteUj7YfPfFxCs83sr6NBPsbfd4AAAA4YeI41q5du3TllVfqzW9+s774xS/qVa96lT7/+c/PNW37aBhjVJaliqKoA2dJY1O5fcjddv14rNe7/vhxHI/87M/nz9m8L1yLj7r94+G2cRzXcXi4v7W2vm+eNfop5r1er55i7m+9Xk/Ly8taXl5Wt9utzxmuxQfm4f1+LeFrGD6v5v3hJPW2/yZlWeqBBx7Qj/7oj2r//v36oR/6IT3/+c/XOeecc1zfxAAA2LyYfA4AAAAAADYFH55n4SQWTY/S2yadh/cZY2T8VMwJ2xpjFPk/LMxY48A5teU/xYT1AQAA4MQwxshVMUV9rVeF2q4RbIfTz521kp+o2DYtvU34JkMfXbRF61NiGB/Cm3lj9+C8ZkakYqwde84AAADANNZaLS0t6eqrr9ZLX/pS3XTTTfo//+f/6IlPfKKuvfZaXXTRRUd97GYkHgbQrvGmSf+z38bH291uV1mW1VO6fbTu95nnzY3NcDxcS/g6NOPzMDpvRtt+SnpzUnh4rDAC91+jGZ9k5I+dJEkdlKdpqm63O7I2H4T7qex+srp/7fz5wqjfP+Ynr4ePW2vr6e7N18Cvo2n//v36yEc+ottvv10XX3yxrr32Wj32sY/Vrl27Zj5HAMD2QXwOAAAAAAAWzmn4S++iuvn7Rh5v2c8aI6th/O0ZjUfow4OMR+hGw+DcBD/747b9+SL3v5gPjuWnnhOgAwAAnFymislHAnRpPAL3j1UTy+truQ1E4P58kiZH5BPicyOtT2Lf4ATwOpyf9PhGnsc85wIAAMApxVqrG264QUtLS7rpppv0+c9/XoPBQA888IAe97jHbfh4PmoOA/Pm5OzmlO0wei6KQlEUqdPpKMsyFUVRx+dhjH4sU9DDwLrtfr/mtsnn4WTxUHN7H6T7ae8+AG+uPYzDfWzup6QnSaJer1fH78YYpWmqNE1HQn4fn0+K6MPz+NfPf21OoJ+mKAp97Wtf02233aabbrpJu3fv1kte8hI9/OEPr6fJAwBOHfxffgAAAAAAsCk4qQ7P/c+zfuUdSUqMqaelTwzPpdYoxxqjpArYh5usT0C3/hfzE9balIcTMQEAAHBShBPMjTEq/fXkhADd+fh8Xn6qobQ+9XxC7D0x2Jg0KX0e8+yz0eNOWufRrhEAAABb3nXXXafrrrtO73vf+/TRj35U//RP/6ROp6Nzzz1Xp5122lyTxr22ydtt20jrYboXBtSdTqee1l2WZR1lDwYDFUWhPM9HjtEWvje1BedtMXpUfcpSeF8Yl4fxeTjZvbmtvz+OY6VpqqIo6n2jKFIcx/U0c3+LomhkAry0HuX7YNxPJPdT1cOJ6/784X8D/zr5/zY+6m97Tdo89NBDuvfee3XLLbfo5ptv1tLSkt72trfN3A8AsH0RnwMAAAAAgIVzGp1e7u9zE4LuOjKfMJ2m/sPApD80hNNlWo5zNMpqans0YWo6AAAAThw/Bd2mqUpjpKIYv45s+SSceY8tH8REkUzLR89PnHpujEyS+B82fG61hDqt6wIAAACOgxe84AW66qqr9N73vldPf/rT9aY3vUnf/d3freXl5bEYu41zTnme19G4n4jdnPjdjKj99j7U9nG5tbZ+LEmS+nhlWWowGGgwGCiKIvX7/fq8zankTW0xfJMPvZv3TdKceu6jcx+Rtz2vOI7V7XZ12mmnqdvt1lPO/WvsI3RjjLrdbv28wqA/jM/9tuFr7G9hgF6WZX0Lw/U2zjmtra3pL//yL/X2t79d+/bt04//+I/ruuuum/kaAgC2N+JzAAAAAACwcE5an1Lp75tzImXzzx3+56i6te80DMStpkxKn8BN+B4AAACL5QN0E8fDwKIsj+l6LYy7XVnKxHF7eF49PvU4U0KV9gO6+WL5aW+4PEGI3gEAALa3hz3sYfqJn/gJveIVr9Dznvc8ve1tb9M73/lOXXzxxWMTvqcJg2Yfhfvf+ZZlqbi6bvdRdRhQ+2DaWqskSUZCaknKskzSMG43xihN0zqozrJMWZbVgbuP0v25fHTtH28+H7+GMIgPw+62NfrIPE1TLS0tqdfr1eceDAZ1NL+6ulqfv9PpaHl5WUtLS4rjuJ6EHk5d97cwuvdr9s/HGKOkesNruI//uSiKeo3hhPh5HDx4UK9+9au1a9cuvfGNb9Q111wz974AgO2N+BwAAAAAAGxKTtOnn09ijJFxbmZUHk5PnxSwz1qbRIAOAACw2fhA3OW5TNsE9HmOYe16+O2cbJJMDq4nTT2PIpk4PrpQ25ijm5QOAAAAHCc7d+7Uhz70Ib3hDW/QM5/5TD3/+c/Xy1/+cj3hCU+Yua8Ptj0/pdyHzz6Q9lF6GEz7bXyM7SP1LMvqcDtJkjok95PFvTzPlWWZBoNBHaaH6xkMBlpZWZFzTkVRaDAY1JPTsyyrY+4sy0aO1el0lKZpHbz7NSZJoiiKlKap0jTV8vKyOp1OPbW93++rKIp6/5WVFaVpqk6nUwfo/jmGr42ffB7G4j5C9wF6lmV1JC+pnqAeHi88ro/5m1PSm//t9u/fr7e85S364Ac/qDe/+c162tOeptNOO23mf3cAwKmD+BwAAAAAAGwqfmakD7xLScWkoGfC9541RrExw/2DyZGd6n6/X5gDxVWMPin1yVtieAJ0AACAzaEOKPw0QmOkasqhjJGNYxV5Pn3/6mbCaHxaeN4y9dxYO7ydoIh8ZPr4cZh8fqLWCQAAgK3JX1d3Oh391E/9lH7gB35AN910k37rt35L73rXu/TDP/zDeuQjH9m6X5IkiuN4JIqWVE8ut9aqLMv68SiK6qnoRVEor67XfXztj9WcUh7HscqyVKfTqY/hQ3YfWftIXRoG29baej9/Duec+v1+HaH7oN1H4z7e9sdM07R+PmEk3uv1JEnLy8vqdrtyzinPc0VRpH6/ryRJVBSFlpaWRsL6OI7V6XRUFIWKohgJ8f2aw4nx/nzh9PNOp6Ner6dut1vH8X5tq6urI5PQ/evYFp/fe++9+sQnPqE//dM/VZ7n+tCHPqSzzz5bS0tLI5PsAQAgPgcAAAAAAJtGc6L4PNPF64k40kg03pyA7oJfptvqVm8fPDZyjCnrbPseAAAAm4MxRs7a9cnjRSGVpVwUyVgrFwTjdXTRCM99fD7rY+nbHq33P4qguznxccJGI5PZ5zZp242uk1AdAADglGCM0b59+7Rv3z4973nP0yMf+UjdcccdevOb36wrr7xSr3rVq0Yi5jBybsbn/v4oiurHwgnofgq658NsH0z7SeLh4z6+DvfzkbgP4X1E7o/hA3JrbR2fR1GkTqejOI6V53m9Lh/F+wnqftK5pDpM91G2n3be7XbrbcLQ21pbTz/3+4WRuP+5bLy51U9sz4M30fp9nHOK47ieyO6fl/+3hH8dmv+2aIbng8FAt956q+644w7lea4bbrhBj370o/WIRzyidXsAAIjPAQAAAADAQoW/+HaSSv9xoNX343Mk27VNQTfBLfz1evhHkNYp5xv8ZXoYykvrU28AAACwOHWAXsXkrihknJM6HZWDwWiI7Sf/VcF4HY77T9DZyHn9vidy6nlgVhw/50GP/RgAAADY1i6++GLt27dPZ511lqy1+ud//mf90i/9kp72tKfp8ssv144dOySpNXZOkqSebN6c7N3c1kfYPhb324TXweEEc79NKE3TkTd1ZllW72etraeU+ynskuoAfHV1dWRCu19fr9dTHMf1+nww788RRZHSNK0D8PB8/jn48D6cAu9fM2NMHb/7x4uiqI/n1+KjeT/tPZyE7l8Xzz8WrjV8HZ1zuuOOO/SZz3xGR44c0Z49e3TxxRfr6quv1gUXXDC2PQAAHvE5AAAAAADYFJzGI+5SVcgtJ6NSsXIZFepqIClTpFyJMqXKlaqQk5TKqSOnvpzWJKXGac2VKpwb9j9yWlakronUU6SdirRc/YpkWZk6surKKq1uHcVKlChSLNMyC32e6ewAAABYDFMF4M65YRRexSmS5JqTGMPo/CimivtzmWo640mZeg4AAACcRLt27dLVV1+tSy+9VH/8x3+s3/3d31WWZXrggQf0iEc8QmeffbZ27do1tl+SJIqiSFmWKcuyOoj2UXU4LCQMtv3P4fVxuI2PyiWNBN/N6eTGmHqiuZ+o7gNvH3UXRVEH7f7mp7H7qeVJktTnKYpCeZ7XE8mTJFGSJPW0ds8H6/55DwaDOnj3z9Hz08z9ef1r44NzvxYflfvn5O/z8bk/jo/aR4axVK/F/v379ZWvfEX/8A//oH/8x3/U05/+dH3rt36rLrzwwnrNAABMQnwOAAAAAAAWLgzPfXA+nIA+DM8jFYqUKdGKYq2op0MqdUROR5RrRZlW1ddAhaSHZHVEUl9GqzI6ImlVUmFK2eosOxQrVaJUiZaV6DQlcjK6UF0lipQqVqxEkRLF6qijJdlhsq5IRnJGzvhfvpuRAN2pZZI6AAAAFqoOOqJIppoKWGaZVJbH5U2ERpKJouHxpXqC+oZZO9+09aONz6vAZuRQR3ekuXBdDAAAsD0tLy/r+7//+/Ud3/Edeutb36pf+7Vf0zd/8zfrOc95jq688krt2LFjLBr3Ubif3u2nh7eF5z6uDuPsMKQOJ4aHj0lSt9ut9/Pn91/LslSv11O/36+PkWVZPUE8z3MtLS2pKIo6lHfO1VG5n2ye5/nI2sPzhvG3D8CttcrzXGmaqizLerp5+ObTcPp5+Jr555IkSR2bt71enU5n5Ocw6vevZVEUWltb09e//nXdeuut+sM//EO98IUv1Jvf/Gbt2bOH6BwAMDficwAAAAAAsGm4IIZZLQs5l6unNS1V0bnTilIdVl8PylQBeqY1DUxfpRmocH0VWtWqnPoyGphSa67QiqRVxVrRsjIl2qVIS5J2qNRuGe1UR7kSnaedKrRD0pKkrqw6SpVph/qKtCqrJXW0U7F6MkolxaPhvHNyTKEEAADY9Ewcy0hyVYB+TMeSJB+eH210HtrAtPXj4kTGJYQrAAAA25YxRnv37tXP/dzP6Wtf+5re+c536pd/+Ze1c+dOvfrVr9YTnvCEiftJUpqmdfjtY+/wcUl1SB0G15Lqyen+Pn9LkmQsUvff+6Ddh9phGO+DcD/53Mfbfiq6tVZpmtbH8gG6f9yH6WG8XX/iUhWWR1EkaRip+4np/vmUZVlPTI+iqA7QoyhSr9dTWZYjU96l4UT1Xq+nJEmUpunYxHj/uvnI3zmnL3/5y/rABz6gW2+9VXv37tWv/Mqv6MlPfnJ9PsPvtgEAcyI+BwAAAAAAC+VURedan3xu5dRRX4kOazi3fJiOWx1STwe1poPKtaZMfa1pIKO+Iq0o1iHlWlOpVTll6svpiEx1S7WqrjKl2mkSLUnqSdqlSLuUaEVLWlYkq0LSQKWWVaqQraadd7WmVKWWVCpSplI9Za6rXGm1Yh2XqZkAAAA4OcIJ6K4KVzZ+ECMTx8Pw3JhjCs9NHM8Mz00UjZ7jeITqG1izMYagHAAAAGPOO+88/czP/Iy+53u+Rx/5yEf0Yz/2Y8qyTP/v//0/XXHFFUrTtHU/Hzt3Oh0lSaLl5WVlWaaHHnpIeZ7X2/gIXRpG3T5Y73Q6Msao3+/LOVdPHA8D8DBADwPyMngTahiZ+7A9nByepql6vZ6KolAURUrTVIPBoI66ffztA3J/Xn9sa62Wl5c1GAzU6XRGQvjl5eWRaeeSRqam+zX0er2R18x/H54zDM7DCfGf/exn9ba3vU0HDhzQk570JP3mb/6mLr300pHJ8gAAbATxOQAAAAAAWLgwQD9SZOqorx06rFyrclqV1RElOqJYD6mjw3Lqy2ogKZPTQLFWlJjDKtxAqVZkdFhGfWUqlMhKShVpTTt0WIWsdipVpFSxUnWUKpHR+dFAXR1WLsmqmjij4ZpSWVlZxcqrKN7IySmT05qT8tLImWRkCjq/sgcAANjcjDFy1sqmqVxRyGXZyPTDaiMZa+Ua09GNMXVw7pw7PhPPJamKXjYtwhQAAAC08AHzWWedpZe85CV6xjOeoV/+5V/W6173Op199tl6wQteoCc/+ck655xz6kC8bLnG9sH00tLSyCT0ouXNonEc1wG3j9vDMN3H21mWjQXbzfP6cNsH7uGE9TAkD+NuH5v7aN3f7+/z6/GTzI0xGgwG9bq9brcr55yyLBuZbh7+uyCcZu5Def+ztbaefh5OiV9bW9OnP/1p/a//9b+Upqm+53u+R0960pN07rnnqtvtjqyBAB0AsFHE5wAAAAAAYKHK4Ja5QokG6mlFhfqKtCajVUVaUUdHZLUiq0yJMjnlkjJFWlWhVVllclpVYlaVa03SQJFylZIK9ZW4SMYMf2G/rK6knpyWlMgoUazUxOpqTaWsnIxU36xixbKKZGUVabhGI6Oo2sYoUqlITlalc7L8sh4AAGBLMMYM3zgYx8PIvCiGU9Cdk5yT89d1xgzfXOgnAwaxuXHu2KLsKnCfuVlb4L6IUJ1rXQAAAExgrVWn09GZZ56pn/zJn9SDDz6ov//7v9enPvUpfeQjH9HFF1+sZz7zmbrsssvq7SeF6HEc19G5D6x92D0YDOoo3E8WDwNw/ybROI4Vx7F6vV4dkBdFobW1tTri9ucL9y+KYmSCefPY4WM+AJeGQfyOHTvq5+SPn6ap0jSVc64O4/1kdf+c/FR1P8E9DMLD8/tt4jhWkiRKkmRkmvrdd9+tv/mbv9Ftt92m++67T9dcc41e+tKX6oILLtDu3buVJEn9nAEAOFrE5wAAAAAAYKGcpMI5la6UccPJ4h311VemSH1ZrSnSmrpaValMVrkiFYpVKFJfhfrKNJBVLqs1JRooN7kKl8upUKpCyyoVV8GQkVNPRTXT3CoxqRLlSlQqVi6jvpwSlYokRdX5OzJKFCmWValIhSJlsrIqZSUlMi5W7iIl/M4eAABgS/FhykhYXsXnpopFXFkO7zNmLBZvTkXf6Ln9MefYePTnao3HguAEAAAAJ4K1Vg972MP0sIc9THv37tW5556ru+66S/fcc49uvPFGRVGk5z3vebriiivGppL7ieJFUYxM+fbX7WVZ1tPD/f1+3zzPR+LwMNj2P+d5rrIs64nofjJ5OHW8LEv1er2RCeP+qz9XkiT18cLJ6H7KeTiB3T+nOI41GAxGnks4MT18/fw2fn//HJxzdXDuo/Y4jvX3f//3+sxnPqP7779fcRzriiuu0LnnnqtLLrlEl19++dhUdwAAjgXxOQAAAAAAWCjnXBWCl0qVqaO+Yg0j9LKKz2OtKdVAuXIZ5YpUymggaaBcmZwKJerLaKBYmawKDeQUqVSiTFYDdVSorGLxroyMrIxJlJq+SqVKlVczzocBelFNM48VKdGaSqWyimWVyMopUiGrrIrPB5JSORdJshpOTAcAAMBWUQcYPgQPo243/FyckQDdb1vFKO4oIvCRc86zbct2R3PexoGPbX8AAABghvPOO0/nnnuurrjiCn3+85/XLbfcor/5m7/R3r179S//8i8677zzdN5552nPnj1K03QkKM/zfOSatxmS+/vCqebhfc3p6GVZ1oG4P5ffN01TlWVZb+tjbR9/NyNzH5/77SXV4blfn7/frzWKIqVpWt/vn58Pyv124fPxAXw4ab3T6ShJEq2uruof//Efdffdd+v+++/X/v37tXv3bj360Y/Wt3zLt+jCCy8cOT8AAMcL8TkAAAAAAFg4U8XcqfpKNVCkQh31VWigWH0lWpVToVi5XDV5PFFfTgNJuQrl6mlVhTLFyiWVssYpdqWMMjnTl3WryhVroK66srImUWQGSrSmVS0pMXmVmw+PPZxtnihSoa7WlKlXTT8vZBRXa85VKpLVQKUyGSUaznIHAADAVtUWevvgQ2U5erXnJ6VXkcuGziEN9z2aqefHgTlBxx09CZELAAAAhte/Z5xxhq677jo94QlP0Ic//GF95jOf0R/90R/pm77pm3T55Zfr4osv1r59+9TtdnXaaafVobiPsyXV8bWfKi5pZCK4tVZFUYyE5/4mSWtra5KGkfjS0lK9Nn8O55yyLKsnikuqp5P7yej+XGmaKkmSeqq53yYMzf3aiqKo7/f7+H9jhM8lDNOdc/Xz92v2+x06dEiHDx/WPffcow9/+MP6/Oc/r2c961l66UtfqksvvVS7du0iOAcAnFDE5wAAAAAAYKGM1uNzqZCRU6xcmcpqyvnwPqOympA+jL6NCrlqlnmsXJFc9XP1hwg5xaZUbJycK1Vq+Av8xDglZng8q0KRKZQoU6SurMrqXMOp6U6FTHVf5KN2ldV9tjqPv6+oHh/uz/RzAACA7cOY4RWerJVpBuhaD1Y2ZM7w3PjAHQAAANjijDFaXl7WC17wAr3gBS/Q4cOH9Wd/9me66aab9M53vlNnn322LrnkEr3yla+sY3I/sdwYoziO6/jcTxy3wbVymqb1fmGULg2jcT/dvDmR3B/PnyOcfO4fS9NUeZ7X54miqJ7E3haa+2P4SettEbl/bpLq7fwxwvslKcsyRVGkL3zhC/r4xz+uz33ucxoMBrrmmmv07ne/W2eddVa9LQAAJxrxOQAAAAAAWCijUokypVpVoTUdVqFlHVGpviIdkdWKCuWyyjRQIadCy1pRqb5yk0saKNGKEg1klcmoGIbnyiVlMhrImlU5t6ZCkjFWTpFis6ZEkawSdfSQEi0r0kBGUfU/faUyKpQoUqKejmigVKkSRYpkZSXZ6ryxrNbkFCtSVIfpAAAA2D78RHQnjQboG5x+bnx0TngOAACAU9yOHTv0spe9TN/93d+tr3zlK/rzP/9z/fqv/7re/va367nPfa6e9rSn6aqrrtLu3bvrOFwaBtndbrcOtH3YnSRJfey2wDxJEvX7/Xo7H5b778NJ6X4//9UH4z5E99uE2/d6Pa2trY0F8D5qL4qiDtL9G1jzPK/jdB+PJ0kiY0x97g9/+MN697vfrdtvv11XXHGFnvvc5+p7v/d79djHPvb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+ "text/plain": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -307,13 +315,7 @@ "\n", "fig.set_tight_layout(True)\n", "plt.show()" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + ] } ], "metadata": { @@ -332,9 +334,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 4 -} \ No newline at end of file +} diff --git a/pyproject.toml b/pyproject.toml index 9d91e769..588d7984 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -84,7 +84,6 @@ module = [ "matplotlib.*", "pandas.*", "PIL.*", - "xvfbwrapper.*", "scipy.*", ] ignore_missing_imports = true diff --git a/setup.py b/setup.py index 38e4cf7b..d1f48f8b 100644 --- a/setup.py +++ b/setup.py @@ -25,17 +25,19 @@ def read_file(filepath: str) -> str: "gymnasium[box2d]>=0.27.1", ], "brax": [ - "brax>=0.0.10,<=0.0.16", + "brax>=0.9.1", "protobuf>=3.17.3", ], "dm_control": [ "dm_control>=1.0.3", ], "mario": [ - "opencv-python", + "opencv-python>=4.8.0", "torch>=1.9.0", "Pillow>=8.3.1", "py4j>=0.10.9.2", + "pyvirtualdisplay>=3.0", + "jdk4py>=17.0.7.0" ], "dev": [ "pytest>=6.1.1", @@ -80,7 +82,6 @@ def read_file(filepath: str) -> str: "ConfigArgParse>=1.5.1", "numpy>=1.19.5", "pandas>=1.3.0", - "xvfbwrapper>=0.2.9", "matplotlib>=3.4.2", "dataclasses>=0.6", "numpyencoder>=0.3.0", diff --git a/test/test_carl_mario_env.py b/test/test_carl_mario_env.py new file mode 100644 index 00000000..1e1f0fb2 --- /dev/null +++ b/test/test_carl_mario_env.py @@ -0,0 +1,23 @@ +import unittest + +import carl.envs + + +class TestCarlMarioEnv(unittest.TestCase): + def test_observation(self): + env = carl.envs.CARLMarioEnv() + context = env.get_default_context() + obs, info = env.reset() + self.assertEqual(type(obs), dict) + self.assertTrue("obs" in obs, msg=str(obs)) + self.assertTrue("context" in obs) + self.assertEqual(len(obs["context"]), len(context)) + + def test_observation_emptycontext(self): + env = carl.envs.CARLMarioEnv(obs_context_features=[]) + state, info = env.reset() + self.assertEqual(len(state["context"]), 0) + + +if __name__ == "__main__": + unittest.main()