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file: tf_agents/networks/q_network.py
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file: tf_agents/policies/async_policy_saver.py
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file: tf_agents/utils/common.py
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file: tf_agents/benchmark/utils.py
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id: 1235
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file: tf_agents/bandits/environments/classification_environment.py
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file: tf_agents/bandits/agents/exp3_agent.py
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id: 1280
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file: tf_agents/bandits/agents/utils.py
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file: tf_agents/experimental/distributed/reverb_variable_container.py
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unit: def run()
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unit: def _fetch_grayscale_observation()
file: tf_agents/environments/atari_preprocessing.py
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file: tf_agents/environments/random_tf_environment.py
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file: tf_agents/environments/py_environment.py
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file: tf_agents/environments/utils.py
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file: tf_agents/metrics/batched_py_metric.py
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file: tf_agents/networks/actor_distribution_rnn_network.py
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unit: def compute_optimal_reward()
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unit: def batch_size()
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unit: def _observe()
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unit: def batch_size()
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unit: def batched()
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unit: def compute_optimal_action()
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unit: def compute_optimal_reward()
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unit: def observation()
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unit: def batch_size()
file: tf_agents/bandits/environments/piecewise_bernoulli_py_environment.py
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unit: def batched()
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unit: def linear_reward_fn_generator()
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unit: def build_laplacian_over_ordinal_integer_actions_from_env()
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unit: def __init__()
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unit: def linear_multiple_reward_fn_generator()
file: tf_agents/bandits/environments/environment_utilities.py
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unit: def batched()
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unit: def batch_size()
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unit: def original_environment()
file: tf_agents/bandits/environments/bernoulli_action_mask_tf_environment.py
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unit: def observation()
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unit: def batched()
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unit: def batch_size()
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unit: def batched()
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unit: def batch_size()
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unit: def batch_size()
file: tf_agents/bandits/environments/wheel_py_environment.py
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id: 1505
unit: def batched()
file: tf_agents/bandits/environments/wheel_py_environment.py
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id: 1506
unit: def _apply_action()
file: tf_agents/bandits/environments/wheel_py_environment.py
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id: 1507
unit: def name()
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id: 1508
unit: def action_spec()
file: tf_agents/bandits/environments/bandit_py_environment.py
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id: 1509
unit: def observation_spec()
file: tf_agents/bandits/environments/bandit_py_environment.py
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id: 1510
unit: def reward_spec()
file: tf_agents/bandits/environments/bandit_py_environment.py
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id: 1511
unit: def name()
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id: 1512
unit: def result()
file: tf_agents/bandits/metrics/tf_metrics.py
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id: 1513
unit: def result()
file: tf_agents/bandits/metrics/tf_metrics.py
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id: 1514
unit: def accepts_per_arm_features()
file: tf_agents/bandits/policies/greedy_reward_prediction_policy.py
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id: 1515
unit: def _get_actions_from_reward_layer()
file: tf_agents/bandits/policies/neural_linucb_policy.py
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id: 1516
unit: def _get_actions_from_linucb()
file: tf_agents/bandits/policies/neural_linucb_policy.py
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id: 1517
unit: def accepts_per_arm_features()
file: tf_agents/bandits/policies/greedy_multi_objective_neural_policy.py
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id: 1518
unit: def scalarizer()
file: tf_agents/bandits/policies/greedy_multi_objective_neural_policy.py
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id: 1519
unit: def initialize()
file: tf_agents/bandits/policies/constraints.py
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id: 1520
unit: def network()
file: tf_agents/bandits/policies/constraints.py
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id: 1521
unit: def network()
file: tf_agents/bandits/policies/constraints.py
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id: 1522
unit: def _variables()
file: tf_agents/bandits/policies/bernoulli_thompson_sampling_policy.py
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id: 1523
unit: def accepts_per_arm_features()
file: tf_agents/bandits/policies/boltzmann_reward_prediction_policy.py
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unit: def _initialize()
file: tf_agents/bandits/agents/greedy_multi_objective_neural_agent.py
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id: 1525
unit: def num_actions()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1526
unit: def actions_from_reward_layer()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1527
unit: def cov_matrix()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1528
unit: def data_vector()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1529
unit: def num_samples()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1530
unit: def alpha()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1531
unit: def update_alpha()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1532
unit: def _initialize()
file: tf_agents/bandits/agents/neural_linucb_agent.py
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id: 1533
unit: def num_actions()
file: tf_agents/bandits/agents/exp3_agent.py
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id: 1534
unit: def weights()
file: tf_agents/bandits/agents/exp3_agent.py
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id: 1535
unit: def learning_rate()
file: tf_agents/bandits/agents/exp3_agent.py
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id: 1536
unit: def learning_rate()
file: tf_agents/bandits/agents/exp3_agent.py
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id: 1537
unit: def _initialize()
file: tf_agents/bandits/agents/exp3_agent.py
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id: 1538
unit: def num_actions()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1539
unit: def cov_matrix()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1540
unit: def eig_matrix()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1541
unit: def eig_vals()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1542
unit: def data_vector()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1543
unit: def num_samples()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1544
unit: def alpha()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1545
unit: def update_alpha()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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unit: def _initialize()
file: tf_agents/bandits/agents/linear_bandit_agent.py
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id: 1547
unit: def num_samples()
file: tf_agents/bandits/agents/greedy_reward_prediction_agent.py
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unit: def _initialize()
file: tf_agents/bandits/agents/greedy_reward_prediction_agent.py
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id: 1549
unit: def _update_mixture_distribution()
file: tf_agents/bandits/agents/static_mixture_agent.py
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id: 1550
unit: def reward_aggregates()
file: tf_agents/bandits/agents/exp3_mixture_agent.py
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id: 1551
unit: def inverse_temperature()
file: tf_agents/bandits/agents/exp3_mixture_agent.py
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id: 1552
unit: def _initialize()
file: tf_agents/bandits/agents/bernoulli_thompson_sampling_agent.py
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id: 1553
unit: def alpha()
file: tf_agents/bandits/agents/bernoulli_thompson_sampling_agent.py
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id: 1554
unit: def beta()
file: tf_agents/bandits/agents/bernoulli_thompson_sampling_agent.py
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id: 1555
unit: def env()
file: tf_agents/drivers/driver.py
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id: 1556
unit: def policy()
file: tf_agents/drivers/driver.py
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id: 1557
unit: def transition_observers()
file: tf_agents/drivers/driver.py
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unit: def observers()
file: tf_agents/drivers/driver.py
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unit: def time_step_spec()
file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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unit: def current_time_step()
file: tf_agents/environments/tf_environment.py
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file: tf_agents/environments/tf_environment.py
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id: 1569
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file: tf_agents/environments/batched_py_environment.py
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unit: def batch_size()
file: tf_agents/environments/batched_py_environment.py
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id: 1571
unit: def envs()
file: tf_agents/environments/batched_py_environment.py
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id: 1572
unit: def observation_spec()
file: tf_agents/environments/batched_py_environment.py
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unit: def action_spec()
file: tf_agents/environments/batched_py_environment.py
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unit: def time_step_spec()
file: tf_agents/environments/batched_py_environment.py
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id: 1575
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file: tf_agents/environments/suite_bsuite.py
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id: 1576
unit: def _current_time_step()
file: tf_agents/environments/random_tf_environment.py
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id: 1577
unit: def __getattr__()
file: tf_agents/environments/atari_wrappers.py
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unit: def _generate_observation()
file: tf_agents/environments/atari_wrappers.py
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id: 1579
unit: def game_over()
file: tf_agents/environments/atari_wrappers.py
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id: 1580
unit: def observation_spec()
file: tf_agents/environments/random_py_environment.py
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unit: def action_spec()
file: tf_agents/environments/random_py_environment.py
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unit: def batch_size()
file: tf_agents/environments/random_py_environment.py
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file: tf_agents/environments/random_py_environment.py
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id: 1584
unit: def seed()
file: tf_agents/environments/random_py_environment.py
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file: tf_agents/environments/py_environment.py
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file: tf_agents/environments/parallel_py_environment.py
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file: tf_agents/environments/parallel_py_environment.py
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file: tf_agents/environments/parallel_py_environment.py
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file: tf_agents/environments/parallel_py_environment.py
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unit: def physics()
file: tf_agents/environments/dm_control_wrapper.py
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id: 1657
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id: 1856
unit: def train_step()
file: tf_agents/train/actor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1857
unit: def policy()
file: tf_agents/train/actor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1858
unit: def reset()
file: tf_agents/train/interval_trigger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1859
unit: def set_start()
file: tf_agents/train/interval_trigger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1860
unit: def train_step_numpy()
file: tf_agents/train/learner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1861
unit: def train_step_numpy()
file: tf_agents/train/ppo_learner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1862
unit: def policy_q_network()
file: tf_agents/agents/qtopt/qtopt_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1863
unit: def enable_td3()
file: tf_agents/agents/qtopt/qtopt_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1864
unit: def _each_isinstance()
file: tf_agents/agents/data_converter.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1865
unit: def time_step_spec()
file: tf_agents/agents/data_converter.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1866
unit: def action_spec()
file: tf_agents/agents/data_converter.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1867
unit: def info_spec()
file: tf_agents/agents/data_converter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1868
unit: def policy_state_spec()
file: tf_agents/agents/data_converter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1869
unit: def trajectory_spec()
file: tf_agents/agents/data_converter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1870
unit: def transition_spec()
file: tf_agents/agents/data_converter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1871
unit: def cloning_network()
file: tf_agents/agents/behavioral_cloning/behavioral_cloning_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1872
unit: def post_process_policy()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1873
unit: def time_step_spec()
file: tf_agents/agents/tf_agent.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1874
unit: def action_spec()
file: tf_agents/agents/tf_agent.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1875
unit: def data_context()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1876
unit: def collect_data_context()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1877
unit: def policy()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1878
unit: def collect_policy()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1879
unit: def collect_data_spec()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1880
unit: def train_sequence_length()
file: tf_agents/agents/tf_agent.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1881
unit: def summaries_enabled()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1882
unit: def debug_summaries()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1883
unit: def summarize_grads_and_vars()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1884
unit: def train_step_counter()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1885
unit: def _initialize()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1886
unit: def _train()
file: tf_agents/agents/tf_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1887
unit: def actor_net()
file: tf_agents/agents/ppo/ppo_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1888
unit: def _initialize()
file: tf_agents/agents/ppo/ppo_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1889
unit: def __init__()
file: tf_agents/agents/ppo/ppo_actor_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1890
unit: def _initialize()
file: tf_agents/agents/reinforce/reinforce_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1891
unit: def _initialize()
file: tf_agents/agents/random/fixed_policy_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1892
unit: def write()
file: setup.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1893
unit: def has_ext_modules()
file: setup.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1894
unit: def _scalarize()
file: tf_agents/bandits/multi_objective/multi_objective_scalarizer.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1895
unit: def set_parameters()
file: tf_agents/bandits/multi_objective/multi_objective_scalarizer.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1896
unit: def _apply_action()
file: tf_agents/bandits/environments/bandit_tf_environment.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1897
unit: def _observe()
file: tf_agents/bandits/environments/bandit_tf_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1898
unit: def _apply_action()
file: tf_agents/bandits/environments/bandit_py_environment.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1899
unit: def _observe()
file: tf_agents/bandits/environments/bandit_py_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1900
unit: def __call__()
file: tf_agents/bandits/policies/constraints.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 1901
unit: def run()
file: tf_agents/drivers/driver.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1902
unit: def _current_time_step()
file: tf_agents/environments/tf_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1903
unit: def _reset()
file: tf_agents/environments/tf_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1904
unit: def _step()
file: tf_agents/environments/tf_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1905
unit: def observation_spec()
file: tf_agents/environments/py_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1906
unit: def action_spec()
file: tf_agents/environments/py_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1907
unit: def _step()
file: tf_agents/environments/py_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1908
unit: def _reset()
file: tf_agents/environments/py_environment.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1909
unit: def reset()
file: tf_agents/metrics/py_metric.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1910
unit: def result()
file: tf_agents/metrics/py_metric.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1911
unit: def call()
file: tf_agents/metrics/py_metric.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1912
unit: def _reset()
file: tf_agents/metrics/py_metrics.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1913
unit: def _batched_call()
file: tf_agents/metrics/py_metrics.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 1914
unit: def _create_variables()
file: tf_agents/utils/tensor_normalizer.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1915
unit: def variables()
file: tf_agents/utils/tensor_normalizer.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 1916
unit: def _update_ops()
file: tf_agents/utils/tensor_normalizer.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 1917
unit: def _get_mean_var_estimates()
file: tf_agents/utils/tensor_normalizer.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1