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How to use entry_point method in tempest

Best Python code snippet using tempest_python
__init__.py
Source:__init__.py
1from gym.envs.registration import registry, register, make, spec2# Algorithmic3# ----------------------------------------4register(5    id='Copy-v0',6    entry_point='gym.envs.algorithmic:CopyEnv',7    max_episode_steps=200,8    reward_threshold=25.0,9)10register(11    id='RepeatCopy-v0',12    entry_point='gym.envs.algorithmic:RepeatCopyEnv',13    max_episode_steps=200,14    reward_threshold=75.0,15)16register(17    id='ReversedAddition-v0',18    entry_point='gym.envs.algorithmic:ReversedAdditionEnv',19    kwargs={'rows' : 2},20    max_episode_steps=200,21    reward_threshold=25.0,22)23register(24    id='ReversedAddition3-v0',25    entry_point='gym.envs.algorithmic:ReversedAdditionEnv',26    kwargs={'rows' : 3},27    max_episode_steps=200,28    reward_threshold=25.0,29)30register(31    id='DuplicatedInput-v0',32    entry_point='gym.envs.algorithmic:DuplicatedInputEnv',33    max_episode_steps=200,34    reward_threshold=9.0,35)36register(37    id='Reverse-v0',38    entry_point='gym.envs.algorithmic:ReverseEnv',39    max_episode_steps=200,40    reward_threshold=25.0,41)42# Classic43# ----------------------------------------44register(45    id='CartPole-v0',46    entry_point='gym.envs.classic_control:CartPoleEnv',47    max_episode_steps=200,48    reward_threshold=195.0,49)50register(51    id='CartPole-v1',52    entry_point='gym.envs.classic_control:CartPoleEnv',53    max_episode_steps=500,54    reward_threshold=475.0,55)56register(57    id='MountainCar-v0',58    entry_point='gym.envs.classic_control:MountainCarEnv',59    max_episode_steps=200,60    reward_threshold=-110.0,61)62register(63    id='MountainCarContinuous-v0',64    entry_point='gym.envs.classic_control:Continuous_MountainCarEnv',65    max_episode_steps=999,66    reward_threshold=90.0,67)68register(69    id='Pendulum-v0',70    entry_point='gym.envs.classic_control:PendulumEnv',71    max_episode_steps=200,72)73register(74    id='Acrobot-v1',75    entry_point='gym.envs.classic_control:AcrobotEnv',76    max_episode_steps=500,77)78# Box2d79# ----------------------------------------80register(81    id='LunarLander-v2',82    entry_point='gym.envs.box2d:LunarLander',83    max_episode_steps=1000,84    reward_threshold=200,85)86register(87    id='LunarLanderContinuous-v2',88    entry_point='gym.envs.box2d:LunarLanderContinuous',89    max_episode_steps=1000,90    reward_threshold=200,91)92register(93    id='BipedalWalker-v2',94    entry_point='gym.envs.box2d:BipedalWalker',95    max_episode_steps=1600,96    reward_threshold=300,97)98register(99    id='BipedalWalkerHardcore-v2',100    entry_point='gym.envs.box2d:BipedalWalkerHardcore',101    max_episode_steps=2000,102    reward_threshold=300,103)104register(105    id='CarRacing-v0',106    entry_point='gym.envs.box2d:CarRacing',107    max_episode_steps=1000,108    reward_threshold=900,109)110# Toy Text111# ----------------------------------------112register(113    id='Blackjack-v0',114    entry_point='gym.envs.toy_text:BlackjackEnv',115)116register(117    id='KellyCoinflip-v0',118    entry_point='gym.envs.toy_text:KellyCoinflipEnv',119    reward_threshold=246.61,120)121register(122    id='KellyCoinflipGeneralized-v0',123    entry_point='gym.envs.toy_text:KellyCoinflipGeneralizedEnv',124)125register(126    id='FrozenLake-v0',127    entry_point='gym.envs.toy_text:FrozenLakeEnv',128    kwargs={'map_name' : '4x4'},129    max_episode_steps=100,130    reward_threshold=0.78, # optimum = .8196131)132register(133    id='FrozenLake8x8-v0',134    entry_point='gym.envs.toy_text:FrozenLakeEnv',135    kwargs={'map_name' : '8x8'},136    max_episode_steps=200,137    reward_threshold=0.99, # optimum = 1138)139register(140    id='CliffWalking-v0',141    entry_point='gym.envs.toy_text:CliffWalkingEnv',142)143register(144    id='NChain-v0',145    entry_point='gym.envs.toy_text:NChainEnv',146    max_episode_steps=1000,147)148register(149    id='Roulette-v0',150    entry_point='gym.envs.toy_text:RouletteEnv',151    max_episode_steps=100,152)153register(154    id='Taxi-v2',155    entry_point='gym.envs.toy_text.taxi:TaxiEnv',156    reward_threshold=8, # optimum = 8.46157    max_episode_steps=200,158)159register(160    id='GuessingGame-v0',161    entry_point='gym.envs.toy_text.guessing_game:GuessingGame',162    max_episode_steps=200,163)164register(165    id='HotterColder-v0',166    entry_point='gym.envs.toy_text.hotter_colder:HotterColder',167    max_episode_steps=200,168)169# Mujoco170# ----------------------------------------171# 2D172register(173    id='Reacher-v2',174    entry_point='gym.envs.mujoco:ReacherEnv',175    max_episode_steps=50,176    reward_threshold=-3.75,177)178register(179    id='Pusher-v2',180    entry_point='gym.envs.mujoco:PusherEnv',181    max_episode_steps=100,182    reward_threshold=0.0,183)184register(185    id='Thrower-v2',186    entry_point='gym.envs.mujoco:ThrowerEnv',187    max_episode_steps=100,188    reward_threshold=0.0,189)190register(191    id='Striker-v2',192    entry_point='gym.envs.mujoco:StrikerEnv',193    max_episode_steps=100,194    reward_threshold=0.0,195)196register(197    id='InvertedPendulum-v2',198    entry_point='gym.envs.mujoco:InvertedPendulumEnv',199    max_episode_steps=1000,200    reward_threshold=950.0,201)202register(203    id='InvertedDoublePendulum-v2',204    entry_point='gym.envs.mujoco:InvertedDoublePendulumEnv',205    max_episode_steps=1000,206    reward_threshold=9100.0,207)208register(209    id='HalfCheetah-v2',210    entry_point='gym.envs.mujoco:HalfCheetahEnv',211    max_episode_steps=1000,212    reward_threshold=4800.0,213)214register(215    id='Hopper-v2',216    entry_point='gym.envs.mujoco:HopperEnv',217    max_episode_steps=1000,218    reward_threshold=3800.0,219)220register(221    id='Swimmer-v2',222    entry_point='gym.envs.mujoco:SwimmerEnv',223    max_episode_steps=1000,224    reward_threshold=360.0,225)226register(227    id='Walker2d-v2',228    max_episode_steps=1000,229    entry_point='gym.envs.mujoco:Walker2dEnv',230)231register(232    id='Ant-v2',233    entry_point='gym.envs.mujoco:AntEnv',234    max_episode_steps=1000,235    reward_threshold=6000.0,236)237register(238    id='Humanoid-v2',239    entry_point='gym.envs.mujoco:HumanoidEnv',240    max_episode_steps=1000,241)242register(243    id='HumanoidStandup-v2',244    entry_point='gym.envs.mujoco:HumanoidStandupEnv',245    max_episode_steps=1000,246)247# Robotics248# ----------------------------------------249def _merge(a, b):250    a.update(b)251    return a252for reward_type in ['sparse', 'dense']:253    suffix = 'Dense' if reward_type == 'dense' else ''254    kwargs = {255        'reward_type': reward_type,256    }257    # Fetch258    register(259        id='FetchSlide{}-v1'.format(suffix),260        entry_point='gym.envs.robotics:FetchSlideEnv',261        kwargs=kwargs,262        max_episode_steps=50,263    )264    register(265        id='FetchPickAndPlace{}-v1'.format(suffix),266        entry_point='gym.envs.robotics:FetchPickAndPlaceEnv',267        kwargs=kwargs,268        max_episode_steps=50,269    )270    register(271        id='FetchReach{}-v1'.format(suffix),272        entry_point='gym.envs.robotics:FetchReachEnv',273        kwargs=kwargs,274        max_episode_steps=50,275    )276    register(277        id='FetchPush{}-v1'.format(suffix),278        entry_point='gym.envs.robotics:FetchPushEnv',279        kwargs=kwargs,280        max_episode_steps=50,281    )282    # Hand283    register(284        id='HandReach{}-v0'.format(suffix),285        entry_point='gym.envs.robotics:HandReachEnv',286        kwargs=kwargs,287        max_episode_steps=50,288    )289    register(290        id='HandManipulateBlockRotateZ{}-v0'.format(suffix),291        entry_point='gym.envs.robotics:HandBlockEnv',292        kwargs=_merge({'target_position': 'ignore', 'target_rotation': 'z'}, kwargs),293        max_episode_steps=100,294    )295    register(296        id='HandManipulateBlockRotateParallel{}-v0'.format(suffix),297        entry_point='gym.envs.robotics:HandBlockEnv',298        kwargs=_merge({'target_position': 'ignore', 'target_rotation': 'parallel'}, kwargs),299        max_episode_steps=100,300    )301    register(302        id='HandManipulateBlockRotateXYZ{}-v0'.format(suffix),303        entry_point='gym.envs.robotics:HandBlockEnv',304        kwargs=_merge({'target_position': 'ignore', 'target_rotation': 'xyz'}, kwargs),305        max_episode_steps=100,306    )307    register(308        id='HandManipulateBlockFull{}-v0'.format(suffix),309        entry_point='gym.envs.robotics:HandBlockEnv',310        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),311        max_episode_steps=100,312    )313    # Alias for "Full"314    register(315        id='HandManipulateBlock{}-v0'.format(suffix),316        entry_point='gym.envs.robotics:HandBlockEnv',317        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),318        max_episode_steps=100,319    )320    register(321        id='HandManipulateEggRotate{}-v0'.format(suffix),322        entry_point='gym.envs.robotics:HandEggEnv',323        kwargs=_merge({'target_position': 'ignore', 'target_rotation': 'xyz'}, kwargs),324        max_episode_steps=100,325    )326    register(327        id='HandManipulateEggFull{}-v0'.format(suffix),328        entry_point='gym.envs.robotics:HandEggEnv',329        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),330        max_episode_steps=100,331    )332    # Alias for "Full"333    register(334        id='HandManipulateEgg{}-v0'.format(suffix),335        entry_point='gym.envs.robotics:HandEggEnv',336        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),337        max_episode_steps=100,338    )339    register(340        id='HandManipulatePenRotate{}-v0'.format(suffix),341        entry_point='gym.envs.robotics:HandPenEnv',342        kwargs=_merge({'target_position': 'ignore', 'target_rotation': 'xyz'}, kwargs),343        max_episode_steps=100,344    )345    register(346        id='HandManipulatePenFull{}-v0'.format(suffix),347        entry_point='gym.envs.robotics:HandPenEnv',348        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),349        max_episode_steps=100,350    )351    # Alias for "Full"352    register(353        id='HandManipulatePen{}-v0'.format(suffix),354        entry_point='gym.envs.robotics:HandPenEnv',355        kwargs=_merge({'target_position': 'random', 'target_rotation': 'xyz'}, kwargs),356        max_episode_steps=100,357    )358# Atari359# ----------------------------------------360# # print ', '.join(["'{}'".format(name.split('.')[0]) for name in atari_py.list_games()])361for game in ['air_raid', 'alien', 'amidar', 'assault', 'asterix', 'asteroids', 'atlantis',362    'bank_heist', 'battle_zone', 'beam_rider', 'berzerk', 'bowling', 'boxing', 'breakout', 'carnival',363    'centipede', 'chopper_command', 'crazy_climber', 'demon_attack', 'double_dunk',364    'elevator_action', 'enduro', 'fishing_derby', 'freeway', 'frostbite', 'gopher', 'gravitar',365    'hero', 'ice_hockey', 'jamesbond', 'journey_escape', 'kangaroo', 'krull', 'kung_fu_master',366    'montezuma_revenge', 'ms_pacman', 'name_this_game', 'phoenix', 'pitfall', 'pong', 'pooyan',367    'private_eye', 'qbert', 'riverraid', 'road_runner', 'robotank', 'seaquest', 'skiing',368    'solaris', 'space_invaders', 'star_gunner', 'tennis', 'time_pilot', 'tutankham', 'up_n_down',369    'venture', 'video_pinball', 'wizard_of_wor', 'yars_revenge', 'zaxxon']:370    for obs_type in ['image', 'ram']:371        # space_invaders should yield SpaceInvaders-v0 and SpaceInvaders-ram-v0372        name = ''.join([g.capitalize() for g in game.split('_')])373        if obs_type == 'ram':374            name = '{}-ram'.format(name)375        nondeterministic = False376        if game == 'elevator_action' and obs_type == 'ram':377            # ElevatorAction-ram-v0 seems to yield slightly378            # non-deterministic observations about 10% of the time. We379            # should track this down eventually, but for now we just380            # mark it as nondeterministic.381            nondeterministic = True382        register(383            id='{}-v0'.format(name),384            entry_point='gym.envs.atari:AtariEnv',385            kwargs={'game': game, 'obs_type': obs_type, 'repeat_action_probability': 0.25},386            max_episode_steps=10000,387            nondeterministic=nondeterministic,388        )389        register(390            id='{}-v4'.format(name),391            entry_point='gym.envs.atari:AtariEnv',392            kwargs={'game': game, 'obs_type': obs_type},393            max_episode_steps=100000,394            nondeterministic=nondeterministic,395        )396        # Standard Deterministic (as in the original DeepMind paper)397        if game == 'space_invaders':398            frameskip = 3399        else:400            frameskip = 4401        # Use a deterministic frame skip.402        register(403            id='{}Deterministic-v0'.format(name),404            entry_point='gym.envs.atari:AtariEnv',405            kwargs={'game': game, 'obs_type': obs_type, 'frameskip': frameskip, 'repeat_action_probability': 0.25},406            max_episode_steps=100000,407            nondeterministic=nondeterministic,408        )409        register(410            id='{}Deterministic-v4'.format(name),411            entry_point='gym.envs.atari:AtariEnv',412            kwargs={'game': game, 'obs_type': obs_type, 'frameskip': frameskip},413            max_episode_steps=100000,414            nondeterministic=nondeterministic,415        )416        register(417            id='{}NoFrameskip-v0'.format(name),418            entry_point='gym.envs.atari:AtariEnv',419            kwargs={'game': game, 'obs_type': obs_type, 'frameskip': 1, 'repeat_action_probability': 0.25}, # A frameskip of 1 means we get every frame420            max_episode_steps=frameskip * 100000,421            nondeterministic=nondeterministic,422        )423        # No frameskip. (Atari has no entropy source, so these are424        # deterministic environments.)425        register(426            id='{}NoFrameskip-v4'.format(name),427            entry_point='gym.envs.atari:AtariEnv',428            kwargs={'game': game, 'obs_type': obs_type, 'frameskip': 1}, # A frameskip of 1 means we get every frame429            max_episode_steps=frameskip * 100000,430            nondeterministic=nondeterministic,431        )432# Unit test433# ---------434register(435    id='CubeCrash-v0',436    entry_point='gym.envs.unittest:CubeCrash',437    reward_threshold=0.9,438    )439register(440    id='CubeCrashSparse-v0',441    entry_point='gym.envs.unittest:CubeCrashSparse',442    reward_threshold=0.9,443    )444register(445    id='CubeCrashScreenBecomesBlack-v0',446    entry_point='gym.envs.unittest:CubeCrashScreenBecomesBlack',447    reward_threshold=0.9,448    )449register(450    id='MemorizeDigits-v0',451    entry_point='gym.envs.unittest:MemorizeDigits',452    reward_threshold=20,...
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