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unit: train <- function()
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unit: def push()
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unit: def generate_help_for_experiment_manager_permissions()
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unit: def _create_mpi_script()
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unit: def __init__()
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unit: def clean_resource()
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unit: def __init__()
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unit: def _create_rewards_table_if_not_exist()
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unit: def __receive_order()
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unit: def __receive_order()
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unit: def render()
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unit: def __compute_state()
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unit: def push()
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unit: def generate_help_for_experiment_manager_permissions()
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unit: def generate_help_for_experiment_manager_permissions()
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unit: def _create_mpi_script()
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unit: def clean_resource()
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unit: def _create_rewards_table_if_not_exist()
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unit: def __init__()
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unit: def last_hosted_model_id()
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unit: def save_experiment_config()
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unit: def mpi_run()
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unit: def last_trained_model_id()
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unit: def last_evaluation_job_id()
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unit: def last_hosted_model_id()
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unit: def last_joined_job_id()
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unit: def __init__()
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unit: def save_experiment_config()
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unit: def last_trained_model_id()
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McCabe index: 4
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McCabe index: 6
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McCabe index: 4
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McCabe index: 1
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McCabe index: 3
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McCabe index: 2
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unit: def last_trained_model_id()
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unit: def last_trained_model_id()
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unit: def last_hosted_model_id()
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unit: def last_joined_job_id()
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unit: def __init__()
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unit: def save_experiment_config()
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unit: def initialize_envs()
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unit: def start_daemons()
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unit: def parse_args()
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unit: def __init__()
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unit: def get_activation()
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unit: def _generate_input_fn()
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unit: def train()
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unit: def reset()
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unit: def store()
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unit: def parse_args()
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unit: def img_w_palette()
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unit: def parse_request()
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unit: def merge_manifests()
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unit: def update()
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unit: def cdf()
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unit: def test()
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unit: def predict_fn()
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unit: def preprocess()
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McCabe index: 5
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unit: def get_graph_manager_from_args()
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unit: def publish_rewards_for_simulation()
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unit: def get_latest_eval_score_for_model_id()
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unit: def neo_postprocess()
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unit: def __init__()
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unit: def create_vocab()
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unit: def wait_for_offline_store()
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unit: def prune()
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unit: def get_feature_definitions()
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id: 3904
unit: def sigterm_handler()
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unit: def sigterm_handler()
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unit: def tfrecord_parser()
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unit: def create_pre_signed_url()
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unit: def get_child_batch_metadata()
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unit: def insert_job_level_metadata()
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unit: def cleanup_stack()
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unit: def get_categorical_values()
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unit: def _document_with_topic()
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unit: def _document_with_topic()
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file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/descriptions.py
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unit: def _find_s3_output_path()
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unit: def write_host_config()
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unit: def ppo_discrete_outputs()
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unit: def timeout()
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unit: def _checkpoint_dir_finder()
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unit: def train()
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unit: def train()
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unit: def get_session()
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unit: def input_handler()
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id: 4192
unit: def create_model()
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id: 4193
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unit: def str2bool()
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id: 4197
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id: 4198
unit: def _check_classes()
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id: 4199
unit: def save_params()
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id: 4200
unit: def save()
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unit: def save()
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unit: def imread()
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unit: def get_problem_frames()
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unit: def __init__()
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id: 4214
unit: def insert_processed_input_batch_metadata()
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id: 4215
unit: def validate_smgt_job_doesnt_exist()
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unit: def get_label_names_from_s3()
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unit: def make_metadata()
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id: 4218
unit: def get_validation_specification_dict()
file: aws_marketplace/creating_marketplace_products/algorithms/src/validation_specification.py
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id: 4219
unit: def get_validation_specification_json()
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id: 4220
unit: def get_algo_validation_specification_dict()
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id: 4221
unit: def get_algo_validation_specification_json()
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file: sagemaker_model_monitor/introduction/preprocessor.py
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id: 4223
unit: def num_examples_per_epoch()
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id: 4225
unit: def timer_decorator()
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file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
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id: 4254
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file: aws_sagemaker_studio/frameworks/mxnet_gluon_sentiment/sentiment.py
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id: 4258
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file: training/distributed_training/pytorch/model_parallel/bert/bert_example/schedulers.py
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McCabe index: 4
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McCabe index: 2
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file: introduction_to_applying_machine_learning/gluon_recommender_system/recommender.py
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id: 4267
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file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
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unit: def _ecr_login()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def create_new_model_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def _fixed_padding()
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unit: def _ecr_login()
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unit: def _generate_manifest()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def build_XML()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def _ecr_login()
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unit: def _generate_manifest()
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unit: def create_new_model_record()
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unit: def create_new_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def test_notebook()
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unit: def transform_fn()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def transform_fn()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def customize_experiment_config()
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unit: def start_ray_cluster()
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unit: def join_ray_cluster()
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unit: def _ecr_login()
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unit: def _execute()
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number of parameters: 2

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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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unit: def __init__()
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unit: def _ecr_login()
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unit: def _execute()
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number of parameters: 2

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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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McCabe index: 3
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id: 4402
unit: def get_join_job_record()
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McCabe index: 2
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id: 4403
unit: def create_new_join_job_record()
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McCabe index: 3
number of parameters: 2

id: 4404
unit: def create_new_experiment_record()
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unit: def save_checkpoint_and_serving_model()
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id: 4406
unit: def map_restaurants_rgb()
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id: 4407
unit: def __update_dr_xy()
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id: 4408
unit: def reset()
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unit: def step()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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McCabe index: 3
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unit: def create_new_experiment_record()
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McCabe index: 3
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unit: def save_checkpoint_and_serving_model()
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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McCabe index: 2
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unit: def get_model_record()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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unit: def create_new_experiment_record()
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McCabe index: 3
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unit: def save_checkpoint_and_serving_model()
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McCabe index: 2
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unit: def update()
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unit: def test_sol_valid_simple()
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McCabe index: 3
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unit: def _ecr_login()
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unit: def _execute()
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unit: def _generate_manifest()
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unit: def get_model_record()
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unit: def create_new_model_record()
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McCabe index: 3
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unit: def get_join_job_record()
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McCabe index: 2
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unit: def create_new_join_job_record()
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McCabe index: 3
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unit: def create_new_experiment_record()
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McCabe index: 3
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unit: def save_checkpoint_and_serving_model()
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McCabe index: 2
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unit: def _ecr_login()
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McCabe index: 1
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unit: def _execute()
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McCabe index: 4
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unit: def _generate_manifest()
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unit: def create_new_model_record()
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unit: def get_join_job_record()
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unit: def create_new_join_job_record()
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McCabe index: 3
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unit: def create_new_experiment_record()
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McCabe index: 3
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McCabe index: 2
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unit: def _ecr_login()
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McCabe index: 1
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unit: def _execute()
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McCabe index: 4
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unit: def _generate_manifest()
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McCabe index: 2
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McCabe index: 2
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unit: def create_new_model_record()
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McCabe index: 3
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unit: def get_join_job_record()
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McCabe index: 2
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unit: def create_new_join_job_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4455
unit: def create_new_experiment_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4456
unit: def save_checkpoint_and_serving_model()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 4457
unit: def _ecr_login()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4458
unit: def _execute()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4459
unit: def _generate_manifest()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4460
unit: def get_model_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4461
unit: def create_new_model_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4462
unit: def get_join_job_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4463
unit: def create_new_join_job_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4464
unit: def create_new_experiment_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4465
unit: def save_checkpoint_and_serving_model()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 4466
unit: def get_sagemaker_docker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/copy_to_sagemaker_container.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 1

id: 4467
unit: def _judge_action_at_pause_phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 3

id: 4468
unit: def get_speed_factor()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/utils.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 4469
unit: def _get_dist_from_sim_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 4470
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/camera_manager.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 3

id: 4471
unit: def _clean_up_race()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4472
unit: def _save_simtrace_mp4()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
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end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 1

id: 4473
unit: def heatup()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4474
unit: def get_graph_manager()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sagemaker_graph_manager.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 4475
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4476
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4477
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4478
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_model_state_tracker.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 4479
unit: def get_distance_from_next_and_prev()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 4480
unit: def eval_spline()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/abstract_spline.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4481
unit: def get_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/exploration_policies/deepracer_categorical.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4482
unit: def data_handler()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 3

id: 4483
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/sqs/sqs_client.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4484
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_sync_file.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4485
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_checkpoint.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4486
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/deepracer_checkpoint_json.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4487
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4488
unit: def _ecr_login()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4489
unit: def _execute()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4490
unit: def _generate_manifest()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4491
unit: def get_model_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4492
unit: def create_new_model_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4493
unit: def get_join_job_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4494
unit: def create_new_join_job_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4495
unit: def create_new_experiment_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4496
unit: def save_checkpoint_and_serving_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 4497
unit: def _ecr_login()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 4498
unit: def _execute()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4499
unit: def _generate_manifest()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4500
unit: def get_model_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4501
unit: def create_new_model_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4502
unit: def get_join_job_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4503
unit: def create_new_join_job_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4504
unit: def create_new_experiment_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4505
unit: def save_checkpoint_and_serving_model()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 4506
unit: def model_fn()
file: sagemaker_processing/fairness_and_explainability/text_explainability/code/inference.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 4507
unit: def parse_args()
file: sagemaker-python-sdk/tensorflow-eager-script-mode/train_model/train.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4508
unit: def input_fn()
file: sagemaker-python-sdk/pytorch_batch_inference/code/inference.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4509
unit: def load_data()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4510
unit: def build_graph()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4511
unit: def save()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4512
unit: def neo_preprocess()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4513
unit: def gluon_net_info()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4514
unit: def get_dataloader()
file: sagemaker-python-sdk/mxnet_horovod_maskrcnn/source/train_mask_rcnn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4515
unit: def split_and_load()
file: sagemaker-python-sdk/mxnet_horovod_maskrcnn/source/train_mask_rcnn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4516
unit: def load_data()
file: sagemaker-python-sdk/mxnet_onnx_export/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4517
unit: def build_graph()
file: sagemaker-python-sdk/mxnet_onnx_export/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4518
unit: def get_dataset()
file: sagemaker-python-sdk/mxnet_horovod_fasterrcnn/source/train_faster_rcnn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4519
unit: def split_and_load()
file: sagemaker-python-sdk/mxnet_horovod_fasterrcnn/source/train_faster_rcnn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 4520
unit: def load_data()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4521
unit: def build_graph()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4522
unit: def save()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4523
unit: def neo_preprocess()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4524
unit: def load_data()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4525
unit: def build_graph()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4526
unit: def save()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4527
unit: def neo_preprocess()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 4528
unit: def num_examples_per_epoch()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 4529
unit: def test()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 4530
unit: def model_fn()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 4531
unit: def __init__()
file: sagemaker-python-sdk/dgl_gcn/mxnet_gcn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 8

id: 4532
unit: def __init__()
file: sagemaker-python-sdk/dgl_gcn/pytorch_gcn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 8

id: 4533
unit: def evaluate()
file: sagemaker-python-sdk/dgl_gcn/pytorch_gcn.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 4534
unit: def wait_for_feature_group_creation_complete()
file: end_to_end/music_recommendation/code/demo_helpers.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 4535
unit: def get_inference_specification_json()
file: end_to_end/music_recommendation/code/inference_specification.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 5

id: 4536
unit: def wait_for_feature_group_creation_complete()
file: end_to_end/fraud_detection/demo_helpers.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 4537
unit: def parse_args()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4538
unit: def load_dataset()
file: sagemaker-script-mode/scikitlearn_script/train_deploy_scikitlearn_without_dependencies.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 1

id: 4539
unit: def parse_args()
file: sagemaker-pipelines/tabular/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint/code/train.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4540
unit: def parse_args()
file: sagemaker-experiments/tensorflow2-california-housing-regression-experiment/code/california_housing_tf2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4541
unit: def input_handler()
file: sagemaker-experiments/track-an-airflow-workflow/code/inference.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 4542
unit: def model_fn()
file: sagemaker-experiments/mnist-handwritten-digits-classification-experiment/mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 4543
unit: def __init__()
file: sagemaker-jumpstart/multimodal_tabtext/ag_model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4544
unit: def __init__()
file: sagemaker-jumpstart/multicategory_sec/ag_model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 4545
unit: def test()
file: sagemaker-debugger/mxnet_spot_training/mxnet_gluon_spot_training.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 4546
unit: def validate()
file: sagemaker-debugger/mxnet_spot_training/mxnet_gluon_spot_training.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4547
unit: def parse_args()
file: sagemaker-debugger/tensorflow_nlp_sentiment_analysis/tf-sentiment-script-mode/sentiment-distributed.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4548
unit: def __init__()
file: sagemaker-debugger/pytorch_model_debugging/scripts/pytorch_mnist.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4549
unit: def res_net_block()
file: sagemaker-debugger/tensorflow_profiling/entry_point/tf-DatasetAdapter.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4550
unit: def prepare_data()
file: sagemaker-debugger/mnist_tensor_analysis/src/mnist.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4551
unit: def _improve_answer_span()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/data.py
start line: 0
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id: 4554
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unit: def __init__()
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unit: def run_quality_check()
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unit: def get_batch_description()
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unit: def validate_input_config()
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unit: def __init__()
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unit: def _load_json_instance()
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unit: def lambda_handler()
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unit: def lambda_handler()
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unit: def collect_inference_outputs()
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unit: def augment_inference_input()
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unit: def __init__()
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unit: def invocations()
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id: 4572
unit: def input_fn_train()
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unit: def serving_input_receiver_fn()
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unit: def forward()
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unit: def forward()
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id: 4576
unit: def plot_lda_topics()
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unit: def __init__()
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id: 4578
unit: def __init__()
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id: 4579
unit: def validate_region()
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id: 4580
unit: def _get_random_hyperparameter_values()
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unit: def forward()
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id: 4582
unit: def mnist_to_numpy()
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id: 4583
unit: def _input_fn()
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id: 4584
unit: def get_available_gpus()
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id: 4585
unit: def generate_griffiths_data()
file: introduction_to_amazon_algorithms/ntm_synthetic/generate_example_data.py
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id: 4586
unit: def write_list()
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unit: def __init__()
file: introduction_to_amazon_algorithms/object_detection_birds/tools/birdsOnEdge.py
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id: 4588
unit: def load_asn_list()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
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id: 4589
unit: def upload_to_s3()
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id: 4590
unit: def add_vocab_args()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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id: 4591
unit: def build_from_paths()
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unit: def read_worker()
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id: 4593
unit: def build_vocab()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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id: 4594
unit: def train()
file: advanced_functionality/custom-training-containers/framework-container/package/src/custom_framework_training/training.py
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unit: def __load_input_data()
file: advanced_functionality/autogluon-tabular/container-training/train.py
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unit: def get_training_job_list()
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unit: def get_html_text()
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id: 4598
unit: def show_ensemble_model()
file: advanced_functionality/autogluon-tabular/utils/ag_utils.py
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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unit: def mnist_to_numpy()
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unit: def train()
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unit: def create_model()
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unit: def model_fn()
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unit: def __init__()
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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unit: def binary_mask_to_rle()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-serving-optimized/resources/predict.py
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unit: def binary_mask_to_rle()
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unit: def prepare_data()
file: aws_sagemaker_studio/sagemaker_debugger/mnist_tensor_analysis/src/mnist.py
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unit: def train()
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unit: def __init__()
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unit: def forward()
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unit: def _parse_args()
file: aws_sagemaker_studio/frameworks/tensorflow_mnist/mnist-2.py
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unit: def _get_param_index_to_id()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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unit: def _model_grads_to_master_grads()
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unit: def model_params_to_master_params()
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unit: def get_lr()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/schedulers.py
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file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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unit: def download_historical_data_from_s3()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/sim_app_utils.py
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unit: def remove_underrepresented_classes()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
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unit: def _push()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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id: 4639
unit: def _ecr_login_if_needed()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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unit: def _stream_output()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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unit: def config_visualization()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def _run_mpi_on_all_nodes()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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unit: def load_from_ddb_record()
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file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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unit: def update_model_training_stats()
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unit: def get_all_join_job_records_of_experiment()
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unit: def _ecr_login_if_needed()
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unit: def config_visualization()
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unit: def _run_mpi_on_all_nodes()
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unit: def get_all_model_records_of_experiment()
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unit: def update_model_training_stats()
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unit: def get_all_join_job_records_of_experiment()
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unit: def parse_record()
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unit: def input_fn()
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unit: def input_fn_train()
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unit: def input_fn_eval()
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unit: def dense_state()
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unit: def _get_observation_of_layer()
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id: 4677
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unit: def _push()
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id: 4679
unit: def _ecr_login_if_needed()
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number of parameters: 1

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unit: def config_visualization()
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unit: def _run_mpi_on_all_nodes()
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unit: def __init__()
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unit: def load_from_ddb_record()
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unit: def is_train_completed()
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unit: def firehose_bucket()
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McCabe index: 2
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unit: def __init__()
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unit: def get_all_model_records_of_experiment()
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unit: def update_model_training_stats()
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unit: def get_all_join_job_records_of_experiment()
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unit: def __init__()
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id: 4693
unit: def encode_packet()
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McCabe index: 3
number of parameters: 3

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unit: def _push()
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McCabe index: 1
number of parameters: 3

id: 4695
unit: def _ecr_login_if_needed()
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id: 4696
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number of parameters: 1

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unit: def config_visualization()
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unit: def evaluate()
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unit: def load_from_ddb_record()
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McCabe index: 4
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unit: def firehose_bucket()
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unit: def get_all_model_records_of_experiment()
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id: 4711
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unit: def _ecr_login_if_needed()
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McCabe index: 4
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McCabe index: 1
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McCabe index: 2
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McCabe index: 1
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unit: def _push()
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McCabe index: 1
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unit: def _ecr_login_if_needed()
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McCabe index: 4
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McCabe index: 3
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McCabe index: 1
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McCabe index: 1
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unit: def firehose_bucket()
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
number of parameters: 3

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unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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unit: def update_model_training_stats()
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size: 8 LOC
McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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unit: def __init__()
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unit: def _push()
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unit: def _ecr_login_if_needed()
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McCabe index: 4
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unit: def _stream_output()
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unit: def config_visualization()
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McCabe index: 1
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unit: def _run_mpi_on_all_nodes()
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unit: def evaluate()
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unit: def load_from_ddb_record()
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unit: def is_train_completed()
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McCabe index: 4
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unit: def firehose_bucket()
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unit: def __init__()
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McCabe index: 1
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unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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unit: def update_model_training_stats()
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unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
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unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4771
unit: def _push()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/docker_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4772
unit: def _ecr_login_if_needed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4773
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

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unit: def config_visualization()
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McCabe index: 1
number of parameters: 2

id: 4775
unit: def _run_mpi_on_all_nodes()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4776
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4777
unit: def evaluate()
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McCabe index: 1
number of parameters: 0

id: 4778
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4779
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4780
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4781
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4782
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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id: 4783
unit: def update_model_training_stats()
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McCabe index: 1
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id: 4784
unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
number of parameters: 2

id: 4785
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4786
unit: def __draw_orders()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_view_2D.py
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size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 4787
unit: def create_dist_matrix()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_baseline_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 4788
unit: def __receive_order()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_env.py
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size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 4789
unit: def _push()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4790
unit: def _ecr_login_if_needed()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4791
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

id: 4792
unit: def config_visualization()
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size: 8 LOC
McCabe index: 1
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id: 4793
unit: def _run_mpi_on_all_nodes()
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size: 8 LOC
McCabe index: 1
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id: 4794
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 0

id: 4795
unit: def evaluate()
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McCabe index: 1
number of parameters: 0

id: 4796
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4797
unit: def is_train_completed()
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McCabe index: 4
number of parameters: 1

id: 4798
unit: def firehose_bucket()
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McCabe index: 2
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id: 4799
unit: def __init__()
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McCabe index: 1
number of parameters: 3

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unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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id: 4801
unit: def update_model_training_stats()
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McCabe index: 1
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id: 4802
unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
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id: 4803
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4804
unit: def _push()
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McCabe index: 1
number of parameters: 3

id: 4805
unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

id: 4806
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

id: 4807
unit: def config_visualization()
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McCabe index: 1
number of parameters: 2

id: 4808
unit: def _run_mpi_on_all_nodes()
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McCabe index: 1
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id: 4809
unit: def __init__()
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McCabe index: 1
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unit: def evaluate()
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McCabe index: 1
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id: 4811
unit: def load_from_ddb_record()
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McCabe index: 1
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id: 4812
unit: def is_train_completed()
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McCabe index: 4
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id: 4813
unit: def firehose_bucket()
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4815
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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id: 4816
unit: def update_model_training_stats()
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McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
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id: 4818
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4819
unit: def _push()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/docker_utils.py
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McCabe index: 1
number of parameters: 3

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unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

id: 4821
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

id: 4822
unit: def config_visualization()
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McCabe index: 1
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id: 4823
unit: def _run_mpi_on_all_nodes()
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McCabe index: 1
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id: 4824
unit: def __init__()
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McCabe index: 1
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id: 4825
unit: def _push()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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McCabe index: 1
number of parameters: 3

id: 4826
unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

id: 4827
unit: def _stream_output()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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McCabe index: 3
number of parameters: 1

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unit: def config_visualization()
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McCabe index: 1
number of parameters: 2

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unit: def _run_mpi_on_all_nodes()
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McCabe index: 1
number of parameters: 1

id: 4830
unit: def __init__()
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McCabe index: 1
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unit: def evaluate()
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McCabe index: 1
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id: 4832
unit: def load_from_ddb_record()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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McCabe index: 1
number of parameters: 2

id: 4833
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4834
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

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unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4836
unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 2

id: 4837
unit: def update_model_training_stats()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 0

id: 4838
unit: def get_all_join_job_records_of_experiment()
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4839
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4840
unit: def custom_sync_func()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/hvac_ray_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4841
unit: def find_checkpoint_file_for_spot()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/hvac_ray_launcher.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4842
unit: def _push()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
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unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

id: 4844
unit: def _stream_output()
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size: 8 LOC
McCabe index: 3
number of parameters: 1

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unit: def config_visualization()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

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unit: def _run_mpi_on_all_nodes()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

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unit: def __init__()
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unit: def evaluate()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4849
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4850
unit: def is_train_completed()
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McCabe index: 4
number of parameters: 1

id: 4851
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

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unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4853
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
number of parameters: 2

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unit: def update_model_training_stats()
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id: 4855
unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
number of parameters: 2

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unit: def __init__()
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McCabe index: 1
number of parameters: 3

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unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4858
unit: def break_state()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

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unit: def step()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4860
unit: def forward()
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size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 4861
unit: def __init__()
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4862
unit: def __get_valid_actions()
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size: 8 LOC
McCabe index: 6
number of parameters: 1

id: 4863
unit: def _push()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4864
unit: def _ecr_login_if_needed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4865
unit: def _stream_output()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4866
unit: def config_visualization()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4867
unit: def _run_mpi_on_all_nodes()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4868
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4869
unit: def evaluate()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4870
unit: def load_from_ddb_record()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4871
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4872
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4873
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4874
unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4875
unit: def update_model_training_stats()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4876
unit: def get_all_join_job_records_of_experiment()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4877
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4878
unit: def _push()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4879
unit: def _ecr_login_if_needed()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4880
unit: def _stream_output()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4881
unit: def config_visualization()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4882
unit: def _run_mpi_on_all_nodes()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4883
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4884
unit: def evaluate()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4885
unit: def load_from_ddb_record()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4886
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4887
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4888
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4889
unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4890
unit: def update_model_training_stats()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4891
unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
number of parameters: 2

id: 4892
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4893
unit: def get_random_item()
file: reinforcement_learning/rl_knapsack_coach_custom/src/item.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 4894
unit: def _push()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4895
unit: def _ecr_login_if_needed()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4896
unit: def _stream_output()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
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McCabe index: 3
number of parameters: 1

id: 4897
unit: def config_visualization()
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McCabe index: 1
number of parameters: 2

id: 4898
unit: def _run_mpi_on_all_nodes()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4899
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4900
unit: def evaluate()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4901
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4902
unit: def is_train_completed()
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McCabe index: 4
number of parameters: 1

id: 4903
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4904
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4905
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
number of parameters: 2

id: 4906
unit: def update_model_training_stats()
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McCabe index: 1
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id: 4907
unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
number of parameters: 2

id: 4908
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4909
unit: def reset()
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McCabe index: 1
number of parameters: 1

id: 4910
unit: def _push()
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McCabe index: 1
number of parameters: 3

id: 4911
unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

id: 4912
unit: def _stream_output()
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4913
unit: def config_visualization()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4914
unit: def _run_mpi_on_all_nodes()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4915
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4916
unit: def evaluate()
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McCabe index: 1
number of parameters: 0

id: 4917
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4918
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4919
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4920
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4921
unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4922
unit: def update_model_training_stats()
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McCabe index: 1
number of parameters: 0

id: 4923
unit: def get_all_join_job_records_of_experiment()
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4924
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4925
unit: def _push()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4926
unit: def _ecr_login_if_needed()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4927
unit: def _stream_output()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4928
unit: def config_visualization()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4929
unit: def _run_mpi_on_all_nodes()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4930
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4931
unit: def evaluate()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4932
unit: def load_from_ddb_record()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 4933
unit: def is_train_completed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4934
unit: def firehose_bucket()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 4935
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4936
unit: def get_all_model_records_of_experiment()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4937
unit: def update_model_training_stats()
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McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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id: 4939
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4940
unit: def _push()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4941
unit: def _ecr_login_if_needed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4942
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

id: 4943
unit: def config_visualization()
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McCabe index: 1
number of parameters: 2

id: 4944
unit: def _run_mpi_on_all_nodes()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4945
unit: def __init__()
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McCabe index: 1
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id: 4946
unit: def evaluate()
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size: 8 LOC
McCabe index: 1
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id: 4947
unit: def load_from_ddb_record()
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McCabe index: 1
number of parameters: 2

id: 4948
unit: def is_train_completed()
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McCabe index: 4
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id: 4949
unit: def firehose_bucket()
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size: 8 LOC
McCabe index: 2
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unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4951
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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unit: def update_model_training_stats()
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McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 4955
unit: def reward_function()
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McCabe index: 5
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id: 4956
unit: def main()
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McCabe index: 3
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id: 4957
unit: def _judge_action_at_prepare_phase()
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McCabe index: 3
number of parameters: 1

id: 4958
unit: def _spawn_obstacles()
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McCabe index: 2
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id: 4959
unit: def add()
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size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 4960
unit: def remove()
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size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 4961
unit: def update_tracker()
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 4962
unit: def _update()
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size: 8 LOC
McCabe index: 5
number of parameters: 4

id: 4963
unit: def _reset()
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 4964
unit: def log_latency()
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 4965
unit: def __init__()
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McCabe index: 1
number of parameters: 5

id: 4966
unit: def save_graph()
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McCabe index: 1
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id: 4967
unit: def reset_internal_state()
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McCabe index: 3
number of parameters: 2

id: 4968
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4969
unit: def __str__()
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McCabe index: 1
number of parameters: 1

id: 4970
unit: def rollout_worker()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4971
unit: def get_dones()
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4972
unit: def get_shuffled_training_data_generator()
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McCabe index: 3
number of parameters: 2

id: 4973
unit: def _enforce_max_length()
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size: 8 LOC
McCabe index: 6
number of parameters: 1

id: 4974
unit: def find_prev_next()
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size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 4975
unit: def get_video_display_name()
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size: 8 LOC
McCabe index: 5
number of parameters: 0

id: 4976
unit: def get_racecar_names()
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 4977
unit: def start()
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McCabe index: 3
number of parameters: 1

id: 4978
unit: def configure_environment_randomizer()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rollout_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4979
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4980
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4981
unit: def reset_metrics()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4982
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4983
unit: def persist_tensorflow_frozen_graph()
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McCabe index: 1
number of parameters: 0

id: 4984
unit: def get_deepracer_last_checkpoint_number()
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McCabe index: 5
number of parameters: 1

id: 4985
unit: def __init__()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 4988
unit: def __init__()
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 4989
unit: def _push()
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 4990
unit: def _ecr_login_if_needed()
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size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 4991
unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

id: 4992
unit: def config_visualization()
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McCabe index: 1
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id: 4993
unit: def _run_mpi_on_all_nodes()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 4995
unit: def evaluate()
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McCabe index: 1
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id: 4996
unit: def load_from_ddb_record()
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McCabe index: 1
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id: 4997
unit: def is_train_completed()
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McCabe index: 4
number of parameters: 1

id: 4998
unit: def firehose_bucket()
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
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id: 5000
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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unit: def update_model_training_stats()
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McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
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McCabe index: 1
number of parameters: 3

id: 5004
unit: def _push()
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McCabe index: 1
number of parameters: 3

id: 5005
unit: def _ecr_login_if_needed()
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McCabe index: 4
number of parameters: 1

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unit: def _stream_output()
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McCabe index: 3
number of parameters: 1

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unit: def config_visualization()
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McCabe index: 1
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unit: def _run_mpi_on_all_nodes()
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McCabe index: 1
number of parameters: 1

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McCabe index: 1
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McCabe index: 1
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unit: def load_from_ddb_record()
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McCabe index: 1
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McCabe index: 4
number of parameters: 1

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unit: def firehose_bucket()
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
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id: 5015
unit: def get_all_model_records_of_experiment()
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McCabe index: 2
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id: 5016
unit: def update_model_training_stats()
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McCabe index: 1
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unit: def get_all_join_job_records_of_experiment()
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 5019
unit: def input_fn()
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McCabe index: 3
number of parameters: 2

id: 5020
unit: def forward()
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McCabe index: 1
number of parameters: 2

id: 5021
unit: def __init__()
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McCabe index: 1
number of parameters: 1

id: 5022
unit: def forward()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5023
unit: def forward()
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5024
unit: def test()
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McCabe index: 2
number of parameters: 3

id: 5025
unit: def _parse_args()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist-2.py
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McCabe index: 2
number of parameters: 0

id: 5026
unit: def _parse_args()
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McCabe index: 2
number of parameters: 0

id: 5027
unit: def log()
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McCabe index: 2
number of parameters: 2

id: 5028
unit: def transform_fn()
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end line: 0
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McCabe index: 1
number of parameters: 4

id: 5029
unit: def image_file_to_tensor()
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McCabe index: 1
number of parameters: 1

id: 5030
unit: def _input_fn()
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McCabe index: 1
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unit: def setup()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
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McCabe index: 3
number of parameters: 2

id: 5032
unit: def collate_molgraphs()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5033
unit: def forward()
file: frameworks/pytorch/code/train.py
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id: 5034
unit: def __init__()
file: frameworks/pytorch/code/train.py
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id: 5035
unit: def forward()
file: frameworks/pytorch/code/inference.py
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McCabe index: 1
number of parameters: 2

id: 5036
unit: def test()
file: frameworks/mxnet/code/train.py
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McCabe index: 2
number of parameters: 3

id: 5037
unit: def mnist_to_numpy()
file: frameworks/tensorflow/code/train.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5038
unit: def __init__()
file: end_to_end/music_recommendation/code/parameter_store.py
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size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5039
unit: def __init__()
file: end_to_end/music_recommendation/code/demo_helpers.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5040
unit: def delete_project_resources()
file: end_to_end/fraud_detection/demo_helpers.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5041
unit: def __init__()
file: end_to_end/fraud_detection/demo_helpers.py
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size: 8 LOC
McCabe index: 1
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id: 5042
unit: def list_model_tensors()
file: sagemaker_edge_manager/sagemaker_edge_example/inference.py
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5043
unit: def model_fn()
file: sagemaker-inference-recommender/huggingface-inference-recommender/code/inference.py
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size: 8 LOC
McCabe index: 1
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id: 5044
unit: def forward()
file: sagemaker-experiments/mnist-handwritten-digits-classification-experiment/mnist.py
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McCabe index: 1
number of parameters: 2

id: 5045
unit: def _input_fn()
file: sagemaker-jumpstart/multimodal_tabtext/code/inference.py
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McCabe index: 2
number of parameters: 2

id: 5046
unit: def _input_fn()
file: sagemaker-jumpstart/multicategory_sec/code/inference.py
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McCabe index: 2
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id: 5047
unit: def __init__()
file: sagemaker-debugger/pytorch_iterative_model_pruning/custom_rule/check_accuracy.py
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McCabe index: 1
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id: 5048
unit: def create_gluon_model()
file: sagemaker-debugger/mxnet_spot_training/mxnet_gluon_spot_training.py
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McCabe index: 1
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id: 5049
unit: def invoke_at_step()
file: sagemaker-debugger/tensorflow_keras_custom_rule/rules/my_custom_rule.py
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McCabe index: 3
number of parameters: 2

id: 5050
unit: def lr_decay()
file: sagemaker-debugger/tensorflow_profiling/entry_point/tf-DatasetAdapter.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5051
unit: def hybrid_forward()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/model.py
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size: 7 LOC
McCabe index: 1
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id: 5052
unit: def __init__()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/attention_head_view.py
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size: 7 LOC
McCabe index: 1
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id: 5053
unit: def print_files_in_path()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5054
unit: def load_model()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/predictor.py
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size: 7 LOC
McCabe index: 3
number of parameters: 0

id: 5055
unit: def print_files_in_path()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5056
unit: def read_worker()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/im2rec.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5057
unit: def __init__()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/concat_db.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5058
unit: def construct_labeling_job_input()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/step_functions_trigger_labeling_job/main.py
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McCabe index: 1
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id: 5059
unit: def parse_input()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/step_functions_copy_logs_and_send_batch_completed/main.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5060
unit: def put_s3()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/s3_accessor.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5061
unit: def get_batch_metadata()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5062
unit: def insert_transformed_input_batch_metadata()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5063
unit: def get_frame_batch_metadata()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
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size: 7 LOC
McCabe index: 2
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id: 5064
unit: def get_model()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/container/news-classifier/predictor.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5065
unit: def get_sources()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/perform_active_learning.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5066
unit: def compute_margin()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/helper.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5067
unit: def make_autoannotation()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 5068
unit: def get_training_specification_dict()
file: aws_marketplace/creating_marketplace_products/algorithms/src/training_specification.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5069
unit: def get_training_specification_json()
file: aws_marketplace/creating_marketplace_products/algorithms/src/training_specification.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5070
unit: def get_validation_specification_dict()
file: aws_marketplace/creating_marketplace_products/algorithms/src/modelpackage_validation_specification.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5071
unit: def get_validation_specification_json()
file: aws_marketplace/creating_marketplace_products/algorithms/src/modelpackage_validation_specification.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5072
unit: def predict()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5073
unit: def _get_charts()
file: sagemaker_model_monitor/visualization/utils.py
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size: 7 LOC
McCabe index: 6
number of parameters: 3

id: 5074
unit: def read_pickle_from_file()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/generate_cifar10_tfrecords.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5075
unit: def __init__()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5076
unit: def input_fn()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
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size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 5077
unit: def __init__()
file: step-functions-data-science-sdk/training_pipeline_pytorch_mnist/mnist.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5078
unit: def generate_griffiths_data()
file: scientific_details_of_algorithms/lda_topic_modeling/generate_example_data.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5079
unit: def emit_final_score()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowMultiGPU.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5080
unit: def emit_final_score()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowMultiCPU.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5081
unit: def __init__()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleGPU.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5082
unit: def emit_final_score()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleGPU.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5083
unit: def __init__()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleCPU.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5084
unit: def emit_final_score()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleCPU.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5085
unit: def validate_dockerfile()
file: hyperparameter_tuning/rapids_bring_your_own/helper_functions.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5086
unit: def transform_fn()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10.py
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McCabe index: 2
number of parameters: 4

id: 5087
unit: def __init__()
file: hyperparameter_tuning/pytorch_mnist/mnist.py
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McCabe index: 1
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id: 5088
unit: def upload_channel()
file: hyperparameter_tuning/keras_bring_your_own/main.py
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McCabe index: 1
number of parameters: 3

id: 5089
unit: def read_worker()
file: introduction_to_amazon_algorithms/object_detection_birds/tools/im2rec.py
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McCabe index: 3
number of parameters: 3

id: 5090
unit: def format_event_as_log()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5091
unit: def write_worker()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5092
unit: def write_to_file()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5093
unit: def get_input_path()
file: advanced_functionality/autogluon-tabular-containers/scripts/tabular_train.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5094
unit: def print_files_in_path()
file: advanced_functionality/custom-training-containers/framework-container/notebook/source_dir/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5095
unit: def print_files_in_path()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5096
unit: def print_files_in_path()
file: advanced_functionality/custom-training-containers/script-mode-container-2/notebook/source_dir/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5097
unit: def print_files_in_path()
file: advanced_functionality/custom-training-containers/script-mode-container/docker/code/utils.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5098
unit: def show_leaderboard()
file: advanced_functionality/autogluon-tabular/utils/ag_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5099
unit: def show_model_evaluation()
file: advanced_functionality/autogluon-tabular/utils/ag_utils.py
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McCabe index: 2
number of parameters: 3

id: 5100
unit: def __init__()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/train.py
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McCabe index: 1
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id: 5101
unit: def __init__()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/inference.py
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McCabe index: 1
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id: 5102
unit: def read_pickle_from_file()
file: advanced_functionality/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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McCabe index: 2
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unit: def __init__()
file: advanced_functionality/jax_bring_your_own/sagemaker_jax.py
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McCabe index: 1
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id: 5104
unit: def input_fn()
file: advanced_functionality/pytorch_deploy_pretrained_bert_model/code/inference.py
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McCabe index: 2
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id: 5105
unit: def save_model()
file: advanced_functionality/multi_model_pytorch/code/train.py
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McCabe index: 1
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id: 5106
unit: def __init__()
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McCabe index: 1
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id: 5107
unit: def build_host_arg()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-script-mode/resources/train.py
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McCabe index: 3
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id: 5108
unit: def build_host_arg()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-optimized-script-mode/resources/train.py
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McCabe index: 3
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id: 5109
unit: def read_pickle_from_file()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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McCabe index: 2
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id: 5110
unit: def step()
file: training/distributed_training/pytorch/model_parallel/gpt2/learning_rates.py
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McCabe index: 3
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id: 5111
unit: def conversion_helper()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 4
number of parameters: 2

id: 5112
unit: def scale_gradient()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 5113
unit: def scale_gradient()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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unit: def __init__()
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McCabe index: 2
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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McCabe index: 1
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id: 5118
unit: def train_step()
file: training/distributed_training/tensorflow/model_parallel/mnist/utils/tf2.py
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McCabe index: 2
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id: 5119
unit: def process_review()
file: use-cases/product_ratings_with_pipelines/code/preprocessing.py
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McCabe index: 1
number of parameters: 1

id: 5120
unit: def validate_experience()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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McCabe index: 3
number of parameters: 1

id: 5121
unit: def get_experience()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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McCabe index: 3
number of parameters: 1

id: 5122
unit: def _next_file()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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McCabe index: 2
number of parameters: 1

id: 5123
unit: def _build_from_dockerfile()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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McCabe index: 2
number of parameters: 3

id: 5124
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/markdown_helper.py
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McCabe index: 1
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id: 5125
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/markdown_helper.py
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McCabe index: 1
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id: 5126
unit: def path_of_main_launcher()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 2
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id: 5127
unit: def download_file()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 2
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id: 5128
unit: def upload_file()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 2
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unit: def __call__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 5130
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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id: 5131
unit: def fit()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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McCabe index: 1
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id: 5133
unit: def get_hosted_model_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 5134
unit: def get_model_record_with_retry()
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number of parameters: 4

id: 5135
unit: def get_experiment_record()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5136
unit: def create_env()
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5137
unit: def get_all_host_names()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5138
unit: def dump_environment_states()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5139
unit: def generate_prediction_string_multiline()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5140
unit: def save_model()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5141
unit: def validate_experience()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5142
unit: def get_experience()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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McCabe index: 3
number of parameters: 1

id: 5143
unit: def _next_file()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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number of parameters: 1

id: 5144
unit: def __init__()
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number of parameters: 5

id: 5145
unit: def start_single_threaded()
file: reinforcement_learning/rl_cartpole_coach/src/evaluate-coach.py
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size: 7 LOC
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number of parameters: 4

id: 5146
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_cartpole_coach/common/docker_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5147
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_cartpole_coach/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5148
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_cartpole_coach/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5149
unit: def path_of_main_launcher()
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5150
unit: def download_file()
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5151
unit: def upload_file()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5152
unit: def __call__()
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number of parameters: 2

id: 5153
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 7 LOC
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id: 5154
unit: def fit()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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unit: def __init__()
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size: 7 LOC
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number of parameters: 0

id: 5156
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5157
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5158
unit: def get_experiment_record()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5159
unit: def create_env()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/stable_baselines_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5160
unit: def get_all_host_names()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5161
unit: def dump_environment_states()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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size: 7 LOC
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number of parameters: 3

id: 5162
unit: def preprocess_image()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/dataset/cifar10.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5163
unit: def __init__()
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5164
unit: def bn_state()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/descriptions.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5165
unit: def relu_state()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/descriptions.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5166
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5167
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_network_compression_ray_custom/common/docker_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5168
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_network_compression_ray_custom/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5169
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_network_compression_ray_custom/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5170
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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McCabe index: 2
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id: 5171
unit: def download_file()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 2
number of parameters: 3

id: 5172
unit: def upload_file()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 2
number of parameters: 3

id: 5173
unit: def __call__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 2

id: 5174
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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id: 5175
unit: def fit()
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unit: def __init__()
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id: 5177
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5178
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 4

id: 5179
unit: def get_experiment_record()
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number of parameters: 2

id: 5180
unit: def create_env()
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McCabe index: 1
number of parameters: 3

id: 5181
unit: def get_all_host_names()
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5182
unit: def dump_environment_states()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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McCabe index: 2
number of parameters: 3

id: 5183
unit: def build()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/socket_builder.py
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McCabe index: 1
number of parameters: 1

id: 5184
unit: def get_free_port()
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McCabe index: 1
number of parameters: 1

id: 5185
unit: def encode_packet_simple()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEp.py
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McCabe index: 2
number of parameters: 3

id: 5186
unit: def start_single_threaded()
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McCabe index: 1
number of parameters: 4

id: 5187
unit: def _build_from_dockerfile()
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McCabe index: 2
number of parameters: 3

id: 5188
unit: def generate_s3_write_permission_for_sagemaker_role()
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McCabe index: 1
number of parameters: 1

id: 5189
unit: def generate_kinesis_create_permission_for_sagemaker_role()
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McCabe index: 1
number of parameters: 1

id: 5190
unit: def path_of_main_launcher()
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McCabe index: 2
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id: 5191
unit: def download_file()
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McCabe index: 2
number of parameters: 3

id: 5192
unit: def upload_file()
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McCabe index: 2
number of parameters: 3

id: 5193
unit: def __call__()
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McCabe index: 1
number of parameters: 2

id: 5194
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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unit: def fit()
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unit: def __init__()
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unit: def get_hosted_model_id()
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McCabe index: 1
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id: 5198
unit: def get_model_record_with_retry()
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unit: def get_experiment_record()
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unit: def create_env()
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McCabe index: 1
number of parameters: 3

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unit: def get_all_host_names()
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McCabe index: 2
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unit: def dump_environment_states()
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number of parameters: 3

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unit: def start_single_threaded()
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McCabe index: 1
number of parameters: 4

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unit: def _build_from_dockerfile()
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McCabe index: 2
number of parameters: 3

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unit: def generate_s3_write_permission_for_sagemaker_role()
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id: 5207
unit: def path_of_main_launcher()
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McCabe index: 2
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unit: def download_file()
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McCabe index: 2
number of parameters: 3

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unit: def upload_file()
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McCabe index: 2
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unit: def __call__()
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McCabe index: 1
number of parameters: 2

id: 5211
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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McCabe index: 1
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unit: def get_hosted_model_id()
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McCabe index: 1
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unit: def get_model_record_with_retry()
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McCabe index: 2
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unit: def get_experiment_record()
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McCabe index: 2
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unit: def create_env()
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McCabe index: 1
number of parameters: 3

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unit: def get_all_host_names()
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McCabe index: 2
number of parameters: 1

id: 5219
unit: def dump_environment_states()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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McCabe index: 2
number of parameters: 3

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unit: def _build_from_dockerfile()
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McCabe index: 2
number of parameters: 3

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unit: def generate_s3_write_permission_for_sagemaker_role()
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McCabe index: 1
number of parameters: 1

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unit: def generate_kinesis_create_permission_for_sagemaker_role()
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McCabe index: 1
number of parameters: 1

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unit: def path_of_main_launcher()
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McCabe index: 2
number of parameters: 1

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unit: def download_file()
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McCabe index: 2
number of parameters: 3

id: 5225
unit: def upload_file()
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McCabe index: 2
number of parameters: 3

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unit: def __call__()
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McCabe index: 1
number of parameters: 2

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unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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unit: def fit()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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unit: def get_hosted_model_id()
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unit: def get_model_record_with_retry()
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unit: def get_experiment_record()
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unit: def create_env()
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unit: def get_all_host_names()
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unit: def dump_environment_states()
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unit: def _build_from_dockerfile()
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unit: def generate_s3_write_permission_for_sagemaker_role()
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unit: def generate_kinesis_create_permission_for_sagemaker_role()
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unit: def path_of_main_launcher()
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unit: def __call__()
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unit: def _delete_rewards_table_if_exist()
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unit: def __init__()
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unit: def get_hosted_model_id()
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unit: def get_model_record_with_retry()
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unit: def get_experiment_record()
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unit: def create_env()
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unit: def get_all_host_names()
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unit: def _build_from_dockerfile()
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unit: def generate_s3_write_permission_for_sagemaker_role()
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unit: def path_of_main_launcher()
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unit: def download_file()
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unit: def upload_file()
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unit: def __call__()
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unit: def _delete_rewards_table_if_exist()
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unit: def fit()
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unit: def __init__()
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unit: def get_hosted_model_id()
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unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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unit: def get_experiment_record()
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unit: def create_env()
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unit: def get_all_host_names()
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unit: def dump_environment_states()
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unit: def start_single_threaded()
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unit: def _build_from_dockerfile()
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number of parameters: 3

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unit: def generate_s3_write_permission_for_sagemaker_role()
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unit: def generate_kinesis_create_permission_for_sagemaker_role()
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unit: def path_of_main_launcher()
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unit: def download_file()
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unit: def upload_file()
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unit: def __call__()
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unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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unit: def fit()
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unit: def __init__()
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unit: def get_hosted_model_id()
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unit: def get_model_record_with_retry()
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unit: def get_experiment_record()
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unit: def create_env()
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unit: def get_all_host_names()
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unit: def dump_environment_states()
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unit: def __draw_restaurant()
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unit: def __draw_restaurant()
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unit: def start_single_threaded()
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unit: def _build_from_dockerfile()
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unit: def generate_s3_write_permission_for_sagemaker_role()
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unit: def generate_kinesis_create_permission_for_sagemaker_role()
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unit: def path_of_main_launcher()
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unit: def download_file()
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unit: def __call__()
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unit: def _delete_rewards_table_if_exist()
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unit: def fit()
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unit: def __init__()
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unit: def get_hosted_model_id()
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unit: def get_model_record_with_retry()
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unit: def get_experiment_record()
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unit: def create_env()
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unit: def get_all_host_names()
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unit: def dump_environment_states()
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unit: def start_single_threaded()
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unit: def _build_from_dockerfile()
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number of parameters: 3

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unit: def path_of_main_launcher()
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McCabe index: 2
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unit: def download_file()
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McCabe index: 2
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unit: def upload_file()
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McCabe index: 2
number of parameters: 3

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unit: def __call__()
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McCabe index: 1
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unit: def _delete_rewards_table_if_exist()
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unit: def fit()
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unit: def __init__()
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unit: def get_hosted_model_id()
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McCabe index: 1
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unit: def get_model_record_with_retry()
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McCabe index: 2
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unit: def get_experiment_record()
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unit: def create_env()
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McCabe index: 1
number of parameters: 3

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unit: def get_all_host_names()
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McCabe index: 2
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unit: def dump_environment_states()
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McCabe index: 2
number of parameters: 3

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unit: def reset()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/src/tic_tac_toe.py
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McCabe index: 1
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unit: def _build_from_dockerfile()
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McCabe index: 2
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unit: def path_of_main_launcher()
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McCabe index: 2
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unit: def download_file()
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unit: def upload_file()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5326
unit: def __call__()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5327
unit: def create_env()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5328
unit: def get_all_host_names()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5329
unit: def mark_board()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/tic_tac_toe_game.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5330
unit: def start_single_threaded()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/evaluate-coach.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5331
unit: def reset()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5332
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5333
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5334
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/markdown_helper.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5335
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5336
unit: def download_file()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5337
unit: def upload_file()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5338
unit: def __call__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5339
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5340
unit: def fit()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5341
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5342
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5343
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5344
unit: def get_experiment_record()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5345
unit: def create_env()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5346
unit: def get_all_host_names()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5347
unit: def dump_environment_states()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5348
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5349
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5350
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5351
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5352
unit: def download_file()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5353
unit: def upload_file()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5354
unit: def __call__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5355
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5356
unit: def fit()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5357
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5358
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5359
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5360
unit: def get_experiment_record()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5361
unit: def create_env()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/stable_baselines_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5362
unit: def get_all_host_names()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5363
unit: def dump_environment_states()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5364
unit: def on_episode_start()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/custom/callbacks.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5365
unit: def on_episode_end()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/custom/callbacks.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5366
unit: def _get_ray_config()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/train-sagemaker-hvac.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5367
unit: def _get_progress()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5368
unit: def append_step()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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size: 7 LOC
McCabe index: 3
number of parameters: 7

id: 5369
unit: def __draw_restaurant()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5370
unit: def __reset_order()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_env.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5371
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5372
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5373
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/markdown_helper.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5374
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5375
unit: def download_file()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5376
unit: def upload_file()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5377
unit: def __call__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5378
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5379
unit: def fit()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5380
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5381
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5382
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5383
unit: def get_experiment_record()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5384
unit: def create_env()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5385
unit: def get_all_host_names()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5386
unit: def dump_environment_states()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5387
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5388
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_roboschool_ray/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5389
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_roboschool_ray/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5390
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5391
unit: def download_file()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5392
unit: def upload_file()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5393
unit: def __call__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5394
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5395
unit: def fit()
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McCabe index: 1
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id: 5396
unit: def __init__()
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McCabe index: 1
number of parameters: 0

id: 5397
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5398
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5399
unit: def get_experiment_record()
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5400
unit: def create_env()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5401
unit: def get_all_host_names()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5402
unit: def dump_environment_states()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5403
unit: def __handle_pygame_events()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5404
unit: def start_single_threaded()
file: reinforcement_learning/rl_knapsack_coach_custom/src/evaluate-coach.py
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size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5405
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5406
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_knapsack_coach_custom/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5407
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_knapsack_coach_custom/common/markdown_helper.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5408
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5409
unit: def download_file()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5410
unit: def upload_file()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5411
unit: def __call__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5412
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 1

id: 5413
unit: def fit()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5414
unit: def __init__()
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McCabe index: 1
number of parameters: 0

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unit: def get_hosted_model_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5416
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5417
unit: def get_experiment_record()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5418
unit: def create_env()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5419
unit: def get_all_host_names()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/ray_launcher.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5420
unit: def dump_environment_states()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5421
unit: def start_single_threaded()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/evaluate-coach.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5422
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5423
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5424
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5425
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5426
unit: def download_file()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5427
unit: def upload_file()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5428
unit: def __call__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5429
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5430
unit: def fit()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5431
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5432
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5433
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5434
unit: def get_experiment_record()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5435
unit: def create_env()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5436
unit: def get_all_host_names()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5437
unit: def dump_environment_states()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5438
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5439
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_unity_ray/common/markdown_helper.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5440
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_unity_ray/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5441
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5442
unit: def download_file()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5443
unit: def upload_file()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5444
unit: def __call__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5445
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5446
unit: def fit()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5447
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5448
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5449
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5450
unit: def get_experiment_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5451
unit: def create_env()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5452
unit: def get_all_host_names()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5453
unit: def dump_environment_states()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5454
unit: def start_single_threaded()
file: reinforcement_learning/rl_cartpole_batch_coach/src/evaluate-coach.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5455
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5456
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_cartpole_batch_coach/common/markdown_helper.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5457
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_cartpole_batch_coach/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5458
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5459
unit: def download_file()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5460
unit: def upload_file()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5461
unit: def __call__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5462
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5463
unit: def fit()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5464
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5465
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5466
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5467
unit: def get_experiment_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5468
unit: def create_env()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5469
unit: def get_all_host_names()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5470
unit: def dump_environment_states()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5471
unit: def get_custom_image_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/copy_to_sagemaker_container.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5472
unit: def argument_error()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5473
unit: def run_cmd()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5474
unit: def _check_for_phase_change()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5475
unit: def _configure_randomizer()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5476
unit: def _configure_randomizer()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5477
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/camera_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5478
unit: def _handle_get_top_cam_data()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/handlers/top_camera.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5479
unit: def _reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/handlers/follow_car_camera.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5480
unit: def _setup_mp4_services()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5481
unit: def should_stop()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5482
unit: def create_worker_or_parameters_server()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5483
unit: def phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5484
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/architectures/head_parameters.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5485
unit: def _build_module()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/architectures/tensorflow_components/heads/sac_head.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5486
unit: def _build_loss()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/architectures/tensorflow_components/heads/sac_head.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 5487
unit: def _load_syncfile_from_store()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5488
unit: def set_model_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5489
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5490
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5491
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5492
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5493
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5494
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5495
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5496
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5497
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5498
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5499
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5500
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5501
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5502
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5503
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5504
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5505
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5506
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5507
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5508
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5509
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5510
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 9
number of parameters: 2

id: 5511
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5512
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5513
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 9
number of parameters: 2

id: 5514
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5515
unit: def shuffle_episodes()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 5516
unit: def close_last_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 5517
unit: def clean()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5518
unit: def str2bool()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5519
unit: def __call__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/architecture/contrib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5520
unit: def execute()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/fsm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 5521
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effect_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5522
unit: def get_episode_status_label()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/constants.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5523
unit: def persist()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5524
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/s3_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5525
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/deepracer_boto_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5526
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5527
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5528
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5529
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5530
unit: def download_file()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5531
unit: def upload_file()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5532
unit: def __call__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5533
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5534
unit: def fit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5535
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5536
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5537
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5538
unit: def get_experiment_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5539
unit: def create_env()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5540
unit: def get_all_host_names()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5541
unit: def dump_environment_states()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5542
unit: def _build_from_dockerfile()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5543
unit: def generate_s3_write_permission_for_sagemaker_role()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5544
unit: def generate_kinesis_create_permission_for_sagemaker_role()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/markdown_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5545
unit: def path_of_main_launcher()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5546
unit: def download_file()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5547
unit: def upload_file()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5548
unit: def __call__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5549
unit: def _delete_rewards_table_if_exist()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5550
unit: def fit()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5551
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/experiment_record.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5552
unit: def get_hosted_model_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5553
unit: def get_model_record_with_retry()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5554
unit: def get_experiment_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5555
unit: def create_env()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5556
unit: def get_all_host_names()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5557
unit: def dump_environment_states()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5558
unit: def copy_aws_jars()
file: sagemaker_processing/feature_transformation_with_sagemaker_processing/container/program/bootstrap.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5559
unit: def __init__()
file: sagemaker-python-sdk/pytorch_horovod_mnist/code/model_def.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5560
unit: def __init__()
file: sagemaker-python-sdk/pytorch_mnist/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5561
unit: def define_network()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5562
unit: def get_train_data()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5563
unit: def model_fn()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5564
unit: def transform_fn()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5565
unit: def _parse_args()
file: sagemaker-python-sdk/tensorflow_script_mode_pipe_mode/pipemode.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 5566
unit: def add_imagenet_labels()
file: sagemaker-python-sdk/tensorflow_serving_container/sample_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5567
unit: def forward()
file: sagemaker-python-sdk/dgl_gcn/mxnet_gcn.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5568
unit: def forward()
file: sagemaker-python-sdk/dgl_gcn/pytorch_gcn.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5569
unit: def __init__()
file: frameworks/pytorch/code/train.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5570
unit: def __init__()
file: frameworks/pytorch/code/inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5571
unit: def define_network()
file: frameworks/mxnet/code/train.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5572
unit: def model_fn()
file: frameworks/mxnet/code/inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5573
unit: def load()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5574
unit: def get_supported_instances()
file: end_to_end/music_recommendation/code/inference_specification.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5575
unit: def get_pipeline()
file: sagemaker-pipelines/tabular/customizing_build_train_deploy_project/modelbuild/pipelines/customer_churn/pipeline.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5576
unit: def input_fn()
file: sagemaker-inference-recommender/huggingface-inference-recommender/code/inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5577
unit: def __post_init__()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_single_node/scripts/run_mlm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5578
unit: def __post_init__()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_single_node/scripts/run_clm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5579
unit: def __post_init__()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_multiple_node/scripts/run_mlm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5580
unit: def __post_init__()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_multiple_node/scripts/run_clm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5581
unit: def __init__()
file: sagemaker-experiments/mnist-handwritten-digits-classification-experiment/mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5582
unit: def get_input_path()
file: sagemaker-jumpstart/multimodal_tabtext/code/train.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5583
unit: def get_input_path()
file: sagemaker-jumpstart/multicategory_sec/code/train.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5584
unit: def main()
file: sagemaker-debugger/mxnet_realtime_analysis/scripts/mnist_gluon_realtime_visualize_demo.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5585
unit: def main()
file: sagemaker-debugger/mnist_tensor_plot/scripts/mxnet_gluon_save_all_demo.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5586
unit: def non_res_block()
file: sagemaker-debugger/tensorflow_profiling/entry_point/tf-DatasetAdapter.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5587
unit: def hybrid_forward()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/model.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 5

id: 5588
unit: def select_layer()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/neuron_view.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5589
unit: def relu_inplace()
file: sagemaker-debugger/model_specific_realtime_analysis/cnn_class_activation_maps/entry_point/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 5590
unit: def hybrid_forward()
file: sagemaker-debugger/model_specific_realtime_analysis/autoencoder_mnist/src/autoencoder_mnist.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5591
unit: def load_data()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/main.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 5592
unit: def augment()
file: prep_data/image_data_guide/training_tensorflow/tensorflow_train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5593
unit: def __exit__()
file: autopilot/model-explainability/managed_endpoint.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 4

id: 5594
unit: def input_fn()
file: autopilot/custom-feature-selection/sklearn_feature_selection.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5595
unit: def image_path_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5596
unit: def get_result_file_template()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 5597
unit: def _load_class_names()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/imdb.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5598
unit: def paint()
file: sagemaker_neo_compilation_jobs/deploy_mxnet_model_on_Inf1_instance/get_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 5599
unit: def paint()
file: sagemaker_neo_compilation_jobs/mxnet_mnist/get_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 5600
unit: def compute_bb_data()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 5601
unit: def parse_args()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5602
unit: def trigger_labeling_job()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/step_functions_trigger_labeling_job/main.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5603
unit: def insert_perform_labeling_job_metadata()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5604
unit: def delete_a2i_flow()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/cloudformation/cleanup.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5605
unit: def collect_inference_inputs()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/perform_active_learning.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 5606
unit: def create_tranform_config()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/prepare_for_inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 5607
unit: def select_for_labeling()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/helper.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 5608
unit: def output_handler()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/code/inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5609
unit: def _get_file_names()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 5610
unit: def model_fn()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
start line: 0
end line: 0
size: 6 LOC
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unit: def copy_files()
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unit: def main()
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unit: def main()
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unit: def _xgb_train()
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unit: def _get_file_names()
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unit: def train_data_loader()
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unit: def test_data_loader()
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unit: def transform_fn()
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unit: def save()
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unit: def read_pickle_from_file()
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unit: def should_record()
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unit: def update_master_grads()
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unit: def backward()
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unit: def backward()
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unit: def convert_network()
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unit: def __init__()
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unit: def get_lr()
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unit: def get_lr()
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unit: def read_set_from_file()
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unit: def reset_parameters()
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unit: def forward()
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unit: def __init__()
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unit: def writeProtobuftoDisk()
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unit: def update_model_training_end_time()
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unit: def update_experiment_training_state()
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unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5712
unit: def update_experiment_hosting_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
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number of parameters: 3

id: 5713
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5714
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5715
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5716
unit: def update_experiment_joining_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
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number of parameters: 3

id: 5717
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5718
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5719
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5720
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5721
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5722
unit: def _get_cluster_type()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/ray_launcher.py
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size: 6 LOC
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number of parameters: 1

id: 5723
unit: def __init__()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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number of parameters: 2

id: 5724
unit: def parse_s3_uri()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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size: 6 LOC
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number of parameters: 1

id: 5725
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_cartpole_coach/src/evaluate-coach.py
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size: 6 LOC
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number of parameters: 3

id: 5726
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_cartpole_coach/common/docker_utils.py
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size: 6 LOC
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number of parameters: 3

id: 5727
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_cartpole_coach/common/docker_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5728
unit: def preset_from_name()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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size: 6 LOC
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number of parameters: 2

id: 5729
unit: def _required_environment_param()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 6 LOC
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number of parameters: 2

id: 5730
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/tf_serving_utils.py
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size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5731
unit: def update_model_job_status()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 6 LOC
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number of parameters: 0

id: 5732
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 3

id: 5733
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5734
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 4

id: 5735
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 4

id: 5736
unit: def update_model_train_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5737
unit: def update_model_eval_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5738
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5739
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 5

id: 5740
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5741
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5742
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5743
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
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number of parameters: 4

id: 5744
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5745
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 4

id: 5746
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 4

id: 5747
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5748
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5749
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5750
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5751
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5752
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5753
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5754
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5755
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5756
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5757
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5758
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5759
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5760
unit: def _get_cluster_type()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/ray_launcher.py
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McCabe index: 2
number of parameters: 1

id: 5761
unit: def get_dummy_symbol()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/tf_interface.py
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id: 5762
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/core/module.py
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id: 5763
unit: def get_params()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/core/module.py
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id: 5764
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/core/model.py
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id: 5765
unit: def get_tf_vars_dict()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/ops.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5766
unit: def get_global_vars_dict()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/ops.py
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McCabe index: 2
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id: 5767
unit: def get_memory_footprint()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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McCabe index: 2
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id: 5768
unit: def get_current_pos()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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McCabe index: 2
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id: 5769
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_network_compression_ray_custom/common/docker_utils.py
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McCabe index: 1
number of parameters: 3

id: 5770
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_network_compression_ray_custom/common/docker_utils.py
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McCabe index: 2
number of parameters: 2

id: 5771
unit: def preset_from_name()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 2

id: 5772
unit: def _required_environment_param()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 2
number of parameters: 2

id: 5773
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 6
number of parameters: 2

id: 5774
unit: def update_model_job_status()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 5775
unit: def batch_delete_items()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 3

id: 5776
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 5777
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5778
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5779
unit: def update_model_train_state()
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id: 5780
unit: def update_model_eval_state()
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McCabe index: 1
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id: 5781
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 5782
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 5783
unit: def update_model_training_start_time()
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id: 5784
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5785
unit: def batch_delete_items()
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McCabe index: 2
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id: 5786
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 5787
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 5788
unit: def update_join_job_obs_end_time()
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McCabe index: 1
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id: 5789
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 4

id: 5790
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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unit: def update_experiment_next_model_to_train_id()
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McCabe index: 1
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id: 5793
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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unit: def update_experiment_last_hosted_model_id()
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McCabe index: 1
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unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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unit: def update_experiment_hosting_endpoint()
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McCabe index: 1
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id: 5797
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 5798
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5799
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5800
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5801
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5802
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5803
unit: def _get_cluster_type()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5804
unit: def set_eplus_dir()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 5805
unit: private void printInfo()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/bcvtb/lib/xml/src/DTDValidator.java
start line: 89
end line: 94
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5806
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/evaluate-coach.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5807
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5808
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5809
unit: def preset_from_name()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5810
unit: def _required_environment_param()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5811
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5812
unit: def update_model_job_status()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5813
unit: def batch_delete_items()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5814
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5815
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5816
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5817
unit: def update_model_train_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5818
unit: def update_model_eval_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5819
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5820
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 5821
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5822
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5823
unit: def batch_delete_items()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5824
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5825
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5826
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5827
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5828
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5829
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5830
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5831
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5832
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5833
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5834
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5835
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5836
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5837
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5838
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5839
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5840
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5841
unit: def _get_cluster_type()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5842
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/evaluate-coach.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5843
unit: def read_stock_history()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5844
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5845
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5846
unit: def preset_from_name()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5847
unit: def _required_environment_param()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5848
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5849
unit: def update_model_job_status()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5850
unit: def batch_delete_items()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5851
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5852
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5853
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5854
unit: def update_model_train_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5855
unit: def update_model_eval_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5856
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5857
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 5858
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5859
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5860
unit: def batch_delete_items()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5861
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5862
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5863
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5864
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5865
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5866
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5867
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5868
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5869
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5870
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5871
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5872
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5873
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5874
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5875
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5876
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5877
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5878
unit: def _get_cluster_type()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5879
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_cartpole_ray/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5880
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_cartpole_ray/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5881
unit: def preset_from_name()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5882
unit: def _required_environment_param()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5883
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/tf_serving_utils.py
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size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5884
unit: def update_model_job_status()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5885
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5886
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5887
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5888
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5889
unit: def update_model_train_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5890
unit: def update_model_eval_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5891
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5892
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 5893
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5894
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5895
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5896
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5897
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5898
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5899
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5900
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5901
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5902
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5903
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5904
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5905
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5906
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5907
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5908
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5909
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5910
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5911
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5912
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5913
unit: def _get_cluster_type()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5914
unit: def build_and_push_docker_image()
file: reinforcement_learning/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5915
unit: def _create_ecr_repo()
file: reinforcement_learning/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5916
unit: def preset_from_name()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5917
unit: def _required_environment_param()
file: reinforcement_learning/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5918
unit: def change_permissions_recursive()
file: reinforcement_learning/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5919
unit: def update_model_job_status()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5920
unit: def batch_delete_items()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5921
unit: def update_model_input_model_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5922
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5923
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5924
unit: def update_model_train_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5925
unit: def update_model_eval_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5926
unit: def update_model_eval_scores()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5927
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 5928
unit: def update_model_training_start_time()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5929
unit: def update_model_training_end_time()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5930
unit: def batch_delete_items()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5931
unit: def update_join_job_current_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5932
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5933
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5934
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5935
unit: def update_experiment_training_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5936
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5937
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5938
unit: def update_experiment_hosting_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5939
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5940
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5941
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5942
unit: def update_experiment_joining_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5943
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5944
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5945
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5946
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5947
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5948
unit: def _get_cluster_type()
file: reinforcement_learning/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 5949
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5950
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5951
unit: def preset_from_name()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 5952
unit: def _required_environment_param()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 5953
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 5954
unit: def update_model_job_status()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 5955
unit: def batch_delete_items()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5956
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5957
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5958
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5959
unit: def update_model_train_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5960
unit: def update_model_eval_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5961
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5962
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 5963
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5964
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5965
unit: def batch_delete_items()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 5966
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5967
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5968
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5969
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 5970
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5971
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 5972
unit: def update_experiment_next_model_to_train_id()
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unit: def update_experiment_hosting_state()
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id: 5974
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5975
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5976
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5977
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5978
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5979
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5980
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5981
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5982
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 5983
unit: def _get_cluster_type()
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id: 5984
unit: def inplace_replace_in_file()
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id: 5985
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/docker_utils.py
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McCabe index: 1
number of parameters: 3

id: 5986
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/docker_utils.py
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McCabe index: 2
number of parameters: 2

id: 5987
unit: def preset_from_name()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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id: 5988
unit: def _required_environment_param()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/sage_cluster_communicator.py
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id: 5989
unit: def change_permissions_recursive()
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id: 5990
unit: def update_model_job_status()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 5991
unit: def batch_delete_items()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5992
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5993
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5994
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5995
unit: def update_model_train_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 4

id: 5996
unit: def update_model_eval_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 4

id: 5997
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 5998
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 5

id: 5999
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 4

id: 6000
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 6001
unit: def batch_delete_items()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 6002
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 6003
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 6004
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 6005
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 4

id: 6006
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6007
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6008
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6009
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6010
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6011
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6012
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6013
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6014
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6015
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6016
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6017
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 3

id: 6018
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6019
unit: def _get_cluster_type()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/ray_launcher.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6020
unit: def __handle_pygame_events()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/VRP_view_2D.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6021
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6022
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6023
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6024
unit: def preset_from_name()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6025
unit: def _required_environment_param()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6026
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/tf_serving_utils.py
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size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6027
unit: def update_model_job_status()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6028
unit: def batch_delete_items()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6029
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6030
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6031
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6032
unit: def update_model_train_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6033
unit: def update_model_eval_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6034
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6035
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6036
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6037
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6038
unit: def batch_delete_items()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6039
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6040
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6041
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6042
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 4

id: 6043
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6044
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6045
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6046
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

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unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

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unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

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unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6050
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

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unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6052
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 3

id: 6053
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6054
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6055
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6056
unit: def _get_cluster_type()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6057
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/src/evaluate-coach.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6058
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6059
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6060
unit: def preset_from_name()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6061
unit: def _required_environment_param()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6062
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6063
unit: def update_model_job_status()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6064
unit: def batch_delete_items()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6065
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6066
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6067
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6068
unit: def update_model_train_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6069
unit: def update_model_eval_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6070
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6071
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6072
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6073
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6074
unit: def batch_delete_items()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6075
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6076
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6077
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6078
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6079
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6080
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6081
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6082
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6083
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6084
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6085
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6086
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6087
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6088
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6089
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6090
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6091
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6092
unit: def _get_cluster_type()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6093
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6094
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6095
unit: def preset_from_name()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6096
unit: def _required_environment_param()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6097
unit: def _get_cluster_type()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6098
unit: def start()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/tic_tac_toe_game.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6099
unit: def prices_to_relative()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/data.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6100
unit: def load_year_data()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/data.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6101
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/evaluate-coach.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6102
unit: def step()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6103
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6104
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6105
unit: def preset_from_name()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6106
unit: def _required_environment_param()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6107
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6108
unit: def update_model_job_status()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6109
unit: def batch_delete_items()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6110
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6111
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6112
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6113
unit: def update_model_train_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6114
unit: def update_model_eval_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6115
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6116
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6117
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6118
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6119
unit: def batch_delete_items()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6120
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6121
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6122
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6123
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6124
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6125
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6126
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6127
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6128
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6129
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6130
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6131
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6132
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6133
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6134
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6135
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6136
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6137
unit: def _get_cluster_type()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6138
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6139
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6140
unit: def preset_from_name()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6141
unit: def _required_environment_param()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6142
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6143
unit: def update_model_job_status()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6144
unit: def batch_delete_items()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6145
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6146
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6147
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6148
unit: def update_model_train_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6149
unit: def update_model_eval_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6150
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6151
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6152
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6153
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6154
unit: def batch_delete_items()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6155
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6156
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6157
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6158
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6159
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6160
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6161
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6162
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6163
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6164
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6165
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6166
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6167
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6168
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6169
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6170
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6171
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6172
unit: def _get_cluster_type()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6173
unit: def get_experiment_config()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/train-sagemaker-hvac.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6174
unit: def keep_going()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 4

id: 6175
unit: def __handle_pygame_events()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6176
unit: def register_env_creator()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/train_news_vendor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6177
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6178
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6179
unit: def preset_from_name()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6180
unit: def _required_environment_param()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6181
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6182
unit: def update_model_job_status()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6183
unit: def batch_delete_items()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6184
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6185
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6186
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6187
unit: def update_model_train_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6188
unit: def update_model_eval_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6189
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6190
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6191
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6192
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6193
unit: def batch_delete_items()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6194
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6195
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6196
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6197
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6198
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6199
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6200
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6201
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6202
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6203
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6204
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6205
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6206
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6207
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6208
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6209
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6210
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6211
unit: def _get_cluster_type()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6212
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6213
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6214
unit: def preset_from_name()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6215
unit: def _required_environment_param()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6216
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6217
unit: def update_model_job_status()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6218
unit: def batch_delete_items()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6219
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6220
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6221
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6222
unit: def update_model_train_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6223
unit: def update_model_eval_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6224
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6225
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6226
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6227
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6228
unit: def batch_delete_items()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6229
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6230
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6231
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6232
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6233
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6234
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6235
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6236
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6237
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6238
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6239
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6240
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6241
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6242
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6243
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6244
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6245
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6246
unit: def _get_cluster_type()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6247
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_knapsack_coach_custom/src/evaluate-coach.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6248
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6249
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6250
unit: def preset_from_name()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6251
unit: def _required_environment_param()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6252
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6253
unit: def update_model_job_status()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6254
unit: def batch_delete_items()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6255
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6256
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6257
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6258
unit: def update_model_train_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6259
unit: def update_model_eval_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6260
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6261
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6262
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6263
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6264
unit: def batch_delete_items()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6265
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6266
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6267
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6268
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6269
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6270
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6271
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6272
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6273
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6274
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6275
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6276
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6277
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6278
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6279
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6280
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6281
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6282
unit: def _get_cluster_type()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6283
unit: def time_step_load()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/autoscalesim.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6284
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/evaluate-coach.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6285
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6286
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6287
unit: def preset_from_name()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6288
unit: def _required_environment_param()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6289
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6290
unit: def update_model_job_status()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6291
unit: def batch_delete_items()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6292
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6293
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6294
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6295
unit: def update_model_train_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6296
unit: def update_model_eval_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6297
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6298
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6299
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6300
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6301
unit: def batch_delete_items()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6302
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6303
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6304
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6305
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6306
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6307
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6308
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6309
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6310
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6311
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6312
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6313
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6314
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6315
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6316
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6317
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6318
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6319
unit: def _get_cluster_type()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6320
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6321
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6322
unit: def preset_from_name()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6323
unit: def _required_environment_param()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6324
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/tf_serving_utils.py
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size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6325
unit: def update_model_job_status()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6326
unit: def batch_delete_items()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6327
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6328
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6329
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6330
unit: def update_model_train_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6331
unit: def update_model_eval_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6332
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6333
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6334
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6335
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6336
unit: def batch_delete_items()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6337
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6338
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6339
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6340
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6341
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6342
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6343
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6344
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6345
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6346
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6347
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6348
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6349
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6350
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6351
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6352
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6353
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6354
unit: def _get_cluster_type()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6355
unit: def inplace_replace_in_file()
file: reinforcement_learning/rl_cartpole_batch_coach/src/evaluate-coach.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6356
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6357
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6358
unit: def preset_from_name()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6359
unit: def _required_environment_param()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6360
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/tf_serving_utils.py
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size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6361
unit: def update_model_job_status()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6362
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6363
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6364
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6365
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6366
unit: def update_model_train_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6367
unit: def update_model_eval_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6368
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6369
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6370
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6371
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6372
unit: def batch_delete_items()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6373
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6374
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6375
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6376
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6377
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6378
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6379
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6380
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6381
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6382
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6383
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6384
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6385
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6386
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6387
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6388
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6389
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6390
unit: def _get_cluster_type()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6391
unit: def unsupported_datatype()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6392
unit: def _get_speed_mode_value()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6393
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum_manager.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6394
unit: def lerp_angle_rad()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/utils.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6395
unit: def normalize()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6396
unit: def _get_sdf_string()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/handlers/top_camera.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6397
unit: def _park_at_pit_location()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6398
unit: def get_random_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6399
unit: def reset_internal_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6400
unit: def create_graph()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6401
unit: def fetch_from_worker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6402
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6403
unit: def modify_checkpoint_variables()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6404
unit: def get_raw_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6405
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/logger.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6406
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6407
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6408
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6409
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6410
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6411
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6412
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6413
unit: def get_fault_code_for_error()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/exception_handler.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6414
unit: def add()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/reset_rules_manager.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6415
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/rules/off_track_reset_rule.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6416
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/rules/race_time_rule.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6417
unit: def get()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6418
unit: def get_last_complete_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6419
unit: def interpolate_yaw()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6420
unit: def is_int_repr()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6421
unit: def str_to_done_condition()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6422
unit: def get_s3_extra_args()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6423
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6424
unit: def get_episode_status()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/constants.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6425
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6426
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6427
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6428
unit: def preset_from_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6429
unit: def _required_environment_param()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6430
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6431
unit: def update_model_job_status()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6432
unit: def batch_delete_items()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6433
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6434
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6435
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6436
unit: def update_model_train_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6437
unit: def update_model_eval_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6438
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6439
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6440
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6441
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6442
unit: def batch_delete_items()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6443
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6444
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6445
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6446
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6447
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6448
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6449
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6450
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6451
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6452
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6453
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6454
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6455
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6456
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6457
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6458
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6459
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6460
unit: def _get_cluster_type()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6461
unit: def _recursive_tar_in_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/sim_app_bundler.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6462
unit: def parse_args()
file: reinforcement_learning/rl_roboschool_stable_baselines/src/train_stable_baselines.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6463
unit: def build_and_push_docker_image()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6464
unit: def _create_ecr_repo()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6465
unit: def preset_from_name()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6466
unit: def _required_environment_param()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6467
unit: def change_permissions_recursive()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 2

id: 6468
unit: def update_model_job_status()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6469
unit: def batch_delete_items()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6470
unit: def update_model_input_model_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6471
unit: def update_model_input_data_s3_prefix()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6472
unit: def update_model_s3_model_output_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6473
unit: def update_model_train_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6474
unit: def update_model_eval_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6475
unit: def update_model_eval_scores()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6476
unit: def update_model_eval_scores_and_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6477
unit: def update_model_training_start_time()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6478
unit: def update_model_training_end_time()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6479
unit: def batch_delete_items()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6480
unit: def update_join_job_current_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6481
unit: def update_join_job_join_query_ids()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6482
unit: def update_join_job_obs_end_time()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6483
unit: def update_join_job_obs_start_time()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6484
unit: def update_experiment_training_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6485
unit: def update_experiment_last_trained_model_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6486
unit: def update_experiment_next_model_to_train_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6487
unit: def update_experiment_hosting_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6488
unit: def update_experiment_last_hosted_model_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6489
unit: def update_experiment_next_model_to_host_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6490
unit: def update_experiment_hosting_endpoint()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6491
unit: def update_experiment_joining_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6492
unit: def update_experiment_last_joined_job_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6493
unit: def update_experiment_next_join_job_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6494
unit: def update_experiment_evaluation_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6495
unit: def update_experiment_last_evaluation_job_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6496
unit: def update_experiment_next_evaluation_job_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6497
unit: def _get_cluster_type()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6498
unit: int gethostname()
file: reinforcement_learning/rl_roboschool_stable_baselines/resources/changehostname.c
start line: 16
end line: 21
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6499
unit: def compute_metrics()
file: sagemaker_processing/fairness_and_explainability/text_explainability/scripts/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6500
unit: def get_model()
file: sagemaker-python-sdk/tensorflow-eager-script-mode/train_model/model_def.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6501
unit: def transform_fn()
file: sagemaker-python-sdk/mxnet_onnx_eia/resnet152.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6502
unit: def model_fn()
file: sagemaker-python-sdk/pytorch_horovod_mnist/code/inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6503
unit: def get_train_data_loader()
file: sagemaker-python-sdk/pytorch_cnn_cifar10/utils_cifar.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6504
unit: def get_test_data_loader()
file: sagemaker-python-sdk/pytorch_cnn_cifar10/utils_cifar.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6505
unit: def model_fn()
file: sagemaker-python-sdk/pytorch_mnist/mnist.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6506
unit: def get_val_data()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6507
unit: def _generate_dec_graph()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6508
unit: def __init__()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6509
unit: def model_fn()
file: sagemaker-python-sdk/mxnet_onnx_superresolution/super_resolution.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6510
unit: def predict_fn()
file: sagemaker-python-sdk/scikit_learn_inference_pipeline/sklearn_abalone_featurizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6511
unit: def _get_file_names()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 6512
unit: def read_pickle_from_file()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6513
unit: def save()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6514
unit: def _convert_to_numpy()
file: frameworks/pytorch/utils/mnist.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6515
unit: def _convert_to_numpy()
file: frameworks/mxnet/code/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6516
unit: def _convert_to_numpy()
file: frameworks/utils/mnist.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6517
unit: def __init__()
file: frameworks/tensorflow/code/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6518
unit: def convert_to_numpy()
file: frameworks/tensorflow/code/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6519
unit: def _convert_to_numpy()
file: frameworks/tensorflow/utils/mnist.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6520
unit: def create()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6521
unit: def exclude_summary()
file: end_to_end/nlp_mlops_company_sentiment/scripts/summarize.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6522
unit: def model_fn()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6523
unit: def predict_fn()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6524
unit: def get_model()
file: sagemaker-pipelines/tabular/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint/code/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6525
unit: def output_handler()
file: sagemaker-inference-recommender/code/inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6526
unit: def compute_metrics()
file: sagemaker-training-compiler/huggingface/pytorch_single_gpu_single_node/roberta-base/scripts/fine_tune_with_huggingface.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6527
unit: def compute_metrics()
file: sagemaker-training-compiler/huggingface/pytorch_single_gpu_single_node/roberta-base/scripts/full_train_roberta_with_huggingface.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6528
unit: def compute_metrics()
file: sagemaker-training-compiler/huggingface/pytorch_single_gpu_single_node/albert-base-v2/scripts/qa_trainer_huggingface.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6529
unit: def compute_metrics()
file: sagemaker-training-compiler/huggingface/pytorch_single_gpu_single_node/bert-base-cased/scripts/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6530
unit: def get_model()
file: sagemaker-experiments/tensorflow2-california-housing-regression-experiment/code/california_housing_tf2.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6531
unit: def output_handler()
file: sagemaker-experiments/track-an-airflow-workflow/code/inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6532
unit: def _load_dataset()
file: sagemaker-experiments/track-an-airflow-workflow/code/data_util.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6533
unit: def upload_to_s3()
file: sagemaker-debugger/xgboost_realtime_analysis/data_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6534
unit: def parse_args()
file: sagemaker-debugger/mnist_tensor_plot/scripts/mxnet_gluon_save_all_demo.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6535
unit: def get_train_data()
file: sagemaker-debugger/tensorflow_nlp_sentiment_analysis/tf-sentiment-script-mode/sentiment-distributed.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6536
unit: def get_test_data()
file: sagemaker-debugger/tensorflow_nlp_sentiment_analysis/tf-sentiment-script-mode/sentiment-distributed.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6537
unit: def main()
file: sagemaker-debugger/mnist_tensor_analysis/src/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6538
unit: def __init__()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6539
unit: def ping()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/predictor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 6540
unit: def save_model_artifacts()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6541
unit: def ping()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/predictor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 6542
unit: def save_model_artifacts()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6543
unit: def load_raw()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6544
unit: def cache_path()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6545
unit: def image_path_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/concat_db.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6546
unit: def label_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/concat_db.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6547
unit: def update()
file: sagemaker_neo_compilation_jobs/deploy_mxnet_model_on_Inf1_instance/get_input.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6548
unit: def clear()
file: sagemaker_neo_compilation_jobs/deploy_mxnet_model_on_Inf1_instance/get_input.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6549
unit: def get_training_context()
file: sagemaker_neo_compilation_jobs/deploy_mxnet_model_on_Inf1_instance/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6550
unit: def update()
file: sagemaker_neo_compilation_jobs/mxnet_mnist/get_input.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6551
unit: def clear()
file: sagemaker_neo_compilation_jobs/mxnet_mnist/get_input.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6552
unit: def get_training_context()
file: sagemaker_neo_compilation_jobs/mxnet_mnist/mnist.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6553
unit: def __init__()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6554
unit: def download()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6555
unit: def compute_img_confidence()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6556
unit: def group_miou()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 6
number of parameters: 1

id: 6557
unit: def get_bucket_and_key()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6558
unit: def raise_exception()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/exception.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6559
unit: def uri_to_s3_obj()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/s3_accessor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6560
unit: def fetch_s3()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/s3_accessor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6561
unit: def insert_frame_batch_metadata()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6562
unit: def split_uri()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/api_helpers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6563
unit: def construct_validation_error()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_metadata_post/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6564
unit: def extract_input()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/step_functions_wait_batch_completion/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6565
unit: def handle_request()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_show/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6566
unit: def validate_attributes_exist()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6567
unit: def validate_job_input()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6568
unit: def download()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6569
unit: def algorithm_specification()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/prepare_for_training.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6570
unit: def __init__()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/helper.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6571
unit: def get_model()
file: aws_marketplace/creating_marketplace_products/algorithms/container/decision_trees/predictor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6572
unit: def predict_from_json()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6573
unit: def violation_exists()
file: sagemaker_model_monitor/visualization/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 2

id: 6574
unit: def show_violation_df()
file: sagemaker_model_monitor/visualization/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6575
unit: def _get_filenames()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/code/utilities.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6576
unit: def _train_preprocess_fn()
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unit: def _average_gradients()
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unit: def load_from_bytearray()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
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unit: def _average_gradients()
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unit: def read_image()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10_utils.py
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unit: def save()
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unit: def _average_gradients()
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id: 6583
unit: def call()
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id: 6584
unit: def normalize()
file: hyperparameter_tuning/tensorflow2_mnist/code/train.py
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unit: def upload_training_data()
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id: 6586
unit: def get_network()
file: sagemaker-lineage/visualizer.py
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unit: def input_fn()
file: introduction_to_amazon_algorithms/xgboost_abalone/inference.py
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id: 6588
unit: def predict_fn()
file: introduction_to_amazon_algorithms/xgboost_abalone/inference.py
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id: 6589
unit: def output_fn()
file: introduction_to_amazon_algorithms/xgboost_abalone/inference.py
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unit: def set_frame_data()
file: introduction_to_amazon_algorithms/object_detection_birds/tools/birdsOnEdge.py
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unit: def list_to_record_bytes()
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unit: def smart_open()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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unit: def vocab_from_json_or_pickle()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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unit: def vocab_from_pickle()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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unit: def vocab_from_json()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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unit: def get_env_if_present()
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unit: def save_model_artifacts()
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unit: def save_model_artifacts()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
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unit: def save_model_artifacts()
file: advanced_functionality/custom-training-containers/script-mode-container-2/notebook/source_dir/utils.py
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unit: def save_model_artifacts()
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unit: def format_for_print()
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unit: def make_str_table()
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unit: def split_s3_path()
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unit: def show_modelsummary()
file: advanced_functionality/autogluon-tabular/utils/ag_utils.py
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unit: def normalize()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/train.py
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unit: def save_model()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/train.py
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unit: def input_fn()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/inference.py
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unit: def normalize()
file: advanced_functionality/multi-container-endpoint/direct-invocation/utils/mnist.py
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unit: def call()
file: advanced_functionality/multi-container-endpoint/direct-invocation/tensorflow/code/train.py
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unit: def normalize()
file: advanced_functionality/multi-container-endpoint/direct-invocation/tensorflow/code/train.py
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unit: def train_input_fn()
file: advanced_functionality/tensorflow_bring_your_own/container/cifar10/cifar10.py
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unit: def eval_input_fn()
file: advanced_functionality/tensorflow_bring_your_own/container/cifar10/cifar10.py
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unit: def _parse_args()
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unit: def predict()
file: advanced_functionality/fairseq_translation/fairseq/predictor.py
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id: 6615
unit: def transformation()
file: advanced_functionality/fairseq_translation/fairseq/predictor.py
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id: 6616
unit: def get_perplexity()
file: advanced_functionality/fairseq_translation/fairseq/train_driver.py
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id: 6617
unit: def output_fn()
file: advanced_functionality/fairseq_translation/fairseq/sagemaker_translate.py
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id: 6618
unit: def inference()
file: advanced_functionality/multi_model_bring_your_own/container/model_handler.py
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id: 6619
unit: def wait_till_fifo_exists()
file: advanced_functionality/pipe_bring_your_own/train.py
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id: 6620
unit: def normalize()
file: advanced_functionality/multi_model_pytorch/code/train.py
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id: 6621
unit: def input_fn()
file: advanced_functionality/multi_model_pytorch/code/inference.py
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id: 6622
unit: def estimator_fn()
file: advanced_functionality/tensorflow_iris_byom/iris_dnn_classifier.py
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unit: def get_model()
file: advanced_functionality/scikit_bring_your_own/container/decision_trees/predictor.py
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unit: def parse_args()
file: aws_sagemaker_studio/sagemaker_debugger/mnist_tensor_plot/scripts/mxnet_gluon_save_all_demo.py
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unit: def main()
file: aws_sagemaker_studio/sagemaker_debugger/mnist_tensor_analysis/src/mnist.py
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unit: def train_input_fn()
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unit: def eval_input_fn()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/cifar10/cifar10.py
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unit: def get_model()
file: aws_sagemaker_studio/sagemaker_studio_image_build/xgboost_bring_your_own/xgboost/predictor.py
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unit: def get_training_context()
file: aws_sagemaker_studio/frameworks/mxnet_mnist/mnist.py
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id: 6630
unit: def __init__()
file: aws_sagemaker_studio/frameworks/mxnet_gluon_sentiment/sentiment.py
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id: 6631
unit: def hybrid_forward()
file: aws_sagemaker_studio/frameworks/mxnet_gluon_sentiment/sentiment.py
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id: 6632
unit: def vocab_from_json()
file: aws_sagemaker_studio/frameworks/mxnet_gluon_sentiment/sentiment.py
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id: 6633
unit: def _get_filenames()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/source/keras_cifar10.py
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unit: def _train_preprocess_fn()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/source/keras_cifar10.py
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unit: def predict_fn()
file: sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py
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id: 6636
unit: def to_python_float()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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unit: def __init__()
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unit: def has_overflow_serial()
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id: 6639
unit: def to_python_float()
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unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/schedulers.py
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id: 6641
unit: def s3_etag()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/file_utils.py
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unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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unit: def from_dict()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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unit: def forward()
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unit: def checkpoint_activations()
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unit: def enable_apex()
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unit: def call()
file: training/distributed_training/tensorflow/model_parallel/mnist/utils/tf2.py
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unit: def get_grads()
file: training/distributed_training/tensorflow/model_parallel/mnist/utils/tf2.py
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unit: def call()
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unit: def get_grads()
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unit: def extract_model()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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id: 6664
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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McCabe index: 1
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unit: def map_hyperparameter()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def define_agent()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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id: 6667
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 6668
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 6669
unit: def last_joined_job_train_data()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 6670
unit: def last_joined_job_eval_data()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def __exit__()
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McCabe index: 3
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unit: def _parse_template()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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unit: def check_model_record_exists()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 6674
unit: def check_join_job_record_exists()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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unit: def step()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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McCabe index: 1
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id: 6677
unit: def reset_all_envs()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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McCabe index: 2
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unit: def _save_args()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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unit: def transform_context()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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unit: def extract_model()
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unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_cartpole_coach/common/docker_utils.py
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size: 5 LOC
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unit: def map_hyperparameter()
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unit: def define_agent()
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unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6685
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 5 LOC
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number of parameters: 2

id: 6686
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 6687
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

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unit: def __exit__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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unit: def _parse_template()
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unit: def check_model_record_exists()
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unit: def check_join_job_record_exists()
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unit: def __init__()
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unit: def step()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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number of parameters: 3

id: 6694
unit: def reset_all_envs()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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McCabe index: 2
number of parameters: 1

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unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/src/train-ray.py
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size: 5 LOC
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number of parameters: 1

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unit: def get_memory_footprint()
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unit: def get_params()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/batch_norm.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

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unit: def get_memory_footprint()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/dense.py
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size: 5 LOC
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number of parameters: 1

id: 6699
unit: def get_params()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/dense.py
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McCabe index: 2
number of parameters: 1

id: 6700
unit: def get_memory_footprint()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/conv.py
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size: 5 LOC
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number of parameters: 1

id: 6701
unit: def get_params()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/conv.py
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McCabe index: 2
number of parameters: 1

id: 6702
unit: def _get_network_observation()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6703
unit: def delete_ckpts_of_action()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6704
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_network_compression_ray_custom/common/docker_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6705
unit: def map_hyperparameter()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
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number of parameters: 3

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unit: def define_agent()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6707
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6708
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6709
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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number of parameters: 1

id: 6710
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 6711
unit: def __exit__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 3
number of parameters: 4

id: 6712
unit: def _parse_template()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6713
unit: def check_model_record_exists()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 3

id: 6714
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

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unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6716
unit: def step()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6717
unit: def reset_all_envs()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6718
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEpError.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6719
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEpError.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6720
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEpError.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6721
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEpError.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6722
unit: def close()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEp.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6723
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/docker_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6724
unit: def map_hyperparameter()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6725
unit: def define_agent()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6726
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6727
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6728
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6729
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6730
unit: def __exit__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 3
number of parameters: 4

id: 6731
unit: def _parse_template()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 1

id: 6732
unit: def check_model_record_exists()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 3

id: 6733
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6734
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6735
unit: def step()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6736
unit: def reset_all_envs()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6737
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/portfolio_env.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6738
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/docker_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6739
unit: def map_hyperparameter()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6740
unit: def define_agent()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 6741
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 2
number of parameters: 2

id: 6742
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 2

id: 6743
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 6744
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 6745
unit: def __exit__()
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McCabe index: 3
number of parameters: 4

id: 6746
unit: def _parse_template()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 1

id: 6747
unit: def check_model_record_exists()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 3

id: 6748
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 2
number of parameters: 3

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unit: def __init__()
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McCabe index: 1
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id: 6750
unit: def step()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 3

id: 6751
unit: def reset_all_envs()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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McCabe index: 2
number of parameters: 1

id: 6752
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_cartpole_ray/common/docker_utils.py
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McCabe index: 1
number of parameters: 1

id: 6753
unit: def map_hyperparameter()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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McCabe index: 2
number of parameters: 3

id: 6754
unit: def define_agent()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 6755
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 2
number of parameters: 2

id: 6756
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 2

id: 6757
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 6758
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 6759
unit: def __exit__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 3
number of parameters: 4

id: 6760
unit: def _parse_template()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 1

id: 6761
unit: def check_model_record_exists()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 3

id: 6762
unit: def check_join_job_record_exists()
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McCabe index: 2
number of parameters: 3

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unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
number of parameters: 5

id: 6764
unit: def step()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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McCabe index: 1
number of parameters: 3

id: 6765
unit: def reset_all_envs()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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McCabe index: 2
number of parameters: 1

id: 6766
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/common/docker_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6767
unit: def map_hyperparameter()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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McCabe index: 2
number of parameters: 3

id: 6768
unit: def define_agent()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 6769
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 2
number of parameters: 2

id: 6770
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

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unit: def last_joined_job_train_data()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 6772
unit: def last_joined_job_eval_data()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 6773
unit: def __exit__()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 3
number of parameters: 4

id: 6774
unit: def _parse_template()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 1

id: 6775
unit: def check_model_record_exists()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6776
unit: def check_join_job_record_exists()
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number of parameters: 3

id: 6777
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6778
unit: def step()
file: reinforcement_learning/common/env_utils.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6779
unit: def reset_all_envs()
file: reinforcement_learning/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6780
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6781
unit: def map_hyperparameter()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6782
unit: def define_agent()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6783
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6784
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6785
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6786
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6787
unit: def __exit__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6788
unit: def _parse_template()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6789
unit: def check_model_record_exists()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6790
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6791
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6792
unit: def step()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6793
unit: def reset_all_envs()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6794
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6795
unit: def map_hyperparameter()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6796
unit: def define_agent()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6797
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6798
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6799
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6800
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6801
unit: def __exit__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6802
unit: def _parse_template()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6803
unit: def check_model_record_exists()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6804
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6805
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6806
unit: def step()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6807
unit: def reset_all_envs()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6808
unit: def __handle_pygame_events()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_view_2D.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 6809
unit: def __compute_reward()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6810
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6811
unit: def map_hyperparameter()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6812
unit: def define_agent()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6813
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6814
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6815
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6816
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6817
unit: def __exit__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6818
unit: def _parse_template()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6819
unit: def check_model_record_exists()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6820
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6821
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6822
unit: def step()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6823
unit: def reset_all_envs()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6824
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6825
unit: def map_hyperparameter()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6826
unit: def define_agent()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6827
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6828
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6829
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6830
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6831
unit: def __exit__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6832
unit: def _parse_template()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6833
unit: def check_model_record_exists()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6834
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6835
unit: def __init__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6836
unit: def step()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6837
unit: def reset_all_envs()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6838
unit: def __init__()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/src/tic_tac_toe.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6839
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6840
unit: def map_hyperparameter()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6841
unit: def define_agent()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6842
unit: def __init__()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6843
unit: def __init__()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/tic_tac_toe_game.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6844
unit: def price_files()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6845
unit: def shape()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6846
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6847
unit: def map_hyperparameter()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6848
unit: def define_agent()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6849
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6850
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6851
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6852
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6853
unit: def __exit__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6854
unit: def _parse_template()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6855
unit: def check_model_record_exists()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6856
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6857
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6858
unit: def step()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6859
unit: def reset_all_envs()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6860
unit: def try_convert_json_to_dict()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/ray_experiment_builder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6861
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6862
unit: def map_hyperparameter()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6863
unit: def define_agent()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6864
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6865
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6866
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6867
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6868
unit: def __exit__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6869
unit: def _parse_template()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6870
unit: def check_model_record_exists()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6871
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6872
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6873
unit: def step()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6874
unit: def reset_all_envs()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6875
unit: def register_env_creator()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/train_bin_packing.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6876
unit: def __update_key_for_bin_type_distribution_map()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/bin_packing_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6877
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6878
unit: def map_hyperparameter()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6879
unit: def define_agent()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6880
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6881
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6882
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6883
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6884
unit: def __exit__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6885
unit: def _parse_template()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6886
unit: def check_model_record_exists()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6887
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6888
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6889
unit: def step()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6890
unit: def reset_all_envs()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6891
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6892
unit: def map_hyperparameter()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6893
unit: def define_agent()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6894
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6895
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6896
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6897
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6898
unit: def __exit__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6899
unit: def _parse_template()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6900
unit: def check_model_record_exists()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6901
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6902
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6903
unit: def step()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6904
unit: def reset_all_envs()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6905
unit: def create_baseline_csv()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6906
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6907
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6908
unit: def __get_color_for_item()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6909
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6910
unit: def map_hyperparameter()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6911
unit: def define_agent()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6912
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6913
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6914
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6915
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6916
unit: def __exit__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6917
unit: def _parse_template()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6918
unit: def check_model_record_exists()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6919
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6920
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6921
unit: def step()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6922
unit: def reset_all_envs()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6923
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/autoscalesim.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6924
unit: def update()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/autoscalesim.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6925
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6926
unit: def map_hyperparameter()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6927
unit: def define_agent()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6928
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6929
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6930
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6931
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6932
unit: def __exit__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6933
unit: def _parse_template()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6934
unit: def check_model_record_exists()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6935
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6936
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6937
unit: def step()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6938
unit: def reset_all_envs()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6939
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6940
unit: def map_hyperparameter()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6941
unit: def define_agent()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6942
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6943
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6944
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6945
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6946
unit: def __exit__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6947
unit: def _parse_template()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6948
unit: def check_model_record_exists()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6949
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6950
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6951
unit: def step()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6952
unit: def reset_all_envs()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6953
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6954
unit: def map_hyperparameter()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6955
unit: def define_agent()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6956
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6957
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6958
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6959
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6960
unit: def __exit__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6961
unit: def _parse_template()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6962
unit: def check_model_record_exists()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6963
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6964
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6965
unit: def step()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6966
unit: def reset_all_envs()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6967
unit: def simapp_error()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6968
unit: def finish_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6969
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6970
unit: def pop()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/camera_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6971
unit: def add()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6972
unit: def get_empty_dict()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/constants.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6973
unit: def _clean_local_directory()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6974
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/agents/sac_agent.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6975
unit: def get_random_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6976
unit: def phase_context()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6977
unit: def train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6978
unit: def setup_memory_backend()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6979
unit: def set_schedule_params()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6980
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/architectures/head_parameters.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6981
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/architectures/head_parameters.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6982
unit: def reset_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6983
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6984
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6985
unit: def _camera_cb_()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6986
unit: def _camera_cb_()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6987
unit: def _camera_cb_()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6988
unit: def _left_camera_cb_()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6989
unit: def _right_camera_cb_()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6990
unit: def _scan_cb()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6991
unit: def _scan_cb()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6992
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_model_state_tracker.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6993
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6994
unit: def log_except_and_continue()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6995
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/rules/episode_complete_reset_rule.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6996
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6997
unit: def validate_input_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/filters/observation/observation_binary_filter.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6998
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6999
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 7000
unit: def length()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 7001
unit: def get_episode_for_transition()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 7002
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7003
unit: def update_object_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7004
unit: def get_track_length()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7005
unit: def get_way_pnts()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7006
unit: def get_norm_dist()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7007
unit: def points_on_track()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 7008
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7009
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7010
unit: def put()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7011
unit: def get_robomaker_profiler_env()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rollout_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 7012
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effects/blink_effect.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7013
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effect_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7014
unit: def update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7015
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/randomizer_manager.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7016
unit: def sim_trace_log()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/s3_metrics.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7017
unit: def make_default_metric()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/constants.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7018
unit: def get_empty_dict()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/constants.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7019
unit: def _update_car_color()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7020
unit: def is_power_of_two()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7021
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7022
unit: def map_hyperparameter()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7023
unit: def define_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7024
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7025
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7026
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7027
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7028
unit: def __exit__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 7029
unit: def _parse_template()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7030
unit: def check_model_record_exists()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7031
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7032
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 7033
unit: def step()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 7034
unit: def reset_all_envs()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7035
unit: def clean_tar_files()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/sim_app_bundler.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 7036
unit: def _find_base_image_in_dockerfile()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7037
unit: def map_hyperparameter()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7038
unit: def define_agent()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7039
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7040
unit: def create_cloudwatch_dashboard_from_experiment_id()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7041
unit: def last_joined_job_train_data()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7042
unit: def last_joined_job_eval_data()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7043
unit: def __exit__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 7044
unit: def _parse_template()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7045
unit: def check_model_record_exists()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7046
unit: def check_join_job_record_exists()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 7047
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 7048
unit: def step()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 7049
unit: def reset_all_envs()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7050
unit: def get_train_data()
file: sagemaker-python-sdk/tensorflow-eager-script-mode/train_model/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7051
unit: def get_test_data()
file: sagemaker-python-sdk/tensorflow-eager-script-mode/train_model/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7052
unit: def output_fn()
file: sagemaker-python-sdk/pytorch_batch_inference/code/inference.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7053
unit: def get_training_context()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 7054
unit: def _average_gradients()
file: sagemaker-python-sdk/pytorch_mnist/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7055
unit: def _make_labels()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7056
unit: def _npairs()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7057
unit: def dot_or_identity()
file: sagemaker-python-sdk/dgl_gcmc/model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 7058
unit: def parse_ctx()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 1

id: 7059
unit: def get_training_context()
file: sagemaker-python-sdk/mxnet_onnx_export/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 7060
unit: def get_training_context()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 7061
unit: def get_training_context()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 7062
unit: def estimator_fn()
file: sagemaker-python-sdk/managed_spot_training_tensorflow_estimator/iris_dnn_classifier.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7063
unit: def _get_filenames()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7064
unit: def _train_preprocess_fn()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7065
unit: def __init__()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 7066
unit: def hybrid_forward()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 7067
unit: def vocab_from_json()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7068
unit: def normalize()
file: frameworks/pytorch/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7069
unit: def save_model()
file: frameworks/pytorch/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7070
unit: def input_fn()
file: frameworks/pytorch/code/inference.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7071
unit: def normalize()
file: frameworks/pytorch/utils/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7072
unit: def normalize()
file: frameworks/utils/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7073
unit: def call()
file: frameworks/tensorflow/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7074
unit: def normalize()
file: frameworks/tensorflow/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7075
unit: def normalize()
file: frameworks/tensorflow/utils/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7076
unit: def create_config()
file: end_to_end/nlp_mlops_company_sentiment/scripts/model_deploy_v2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7077
unit: def load_model()
file: sagemaker_edge_manager/sagemaker_edge_example/inference.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7078
unit: def get_train_data()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7079
unit: def get_test_data()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7080
unit: def input_fn()
file: sagemaker-script-mode/pytorch_script/train_deploy_pytorch_without_dependencies.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 7081
unit: def __init__()
file: sagemaker-script-mode/pytorch_script/pytorch_model_def.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7082
unit: def forward()
file: sagemaker-script-mode/pytorch_script/pytorch_model_def.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7083
unit: def get_train_data()
file: sagemaker-pipelines/tabular/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7084
unit: def get_test_data()
file: sagemaker-pipelines/tabular/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7085
unit: def get_train_data()
file: sagemaker-experiments/tensorflow2-california-housing-regression-experiment/code/california_housing_tf2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7086
unit: def get_test_data()
file: sagemaker-experiments/tensorflow2-california-housing-regression-experiment/code/california_housing_tf2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7087
unit: def load_train_dataset()
file: sagemaker-experiments/track-an-airflow-workflow/code/data_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7088
unit: def load_test_dataset()
file: sagemaker-experiments/track-an-airflow-workflow/code/data_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7089
unit: def _average_gradients()
file: sagemaker-experiments/mnist-handwritten-digits-classification-experiment/mnist.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7090
unit: def get_env_if_present()
file: sagemaker-jumpstart/multimodal_tabtext/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7091
unit: def get_env_if_present()
file: sagemaker-jumpstart/multicategory_sec/code/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 7092
unit: inference <- function()
file: r_examples/r_serving_with_plumber/deploy.R
start line: 9
end line: 13
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7093
unit: inference <- function()
file: r_examples/r_serving_with_restrserve/restrserve.R
start line: 8
end line: 12
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7094
unit: def _is_whitespace()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/data.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 6
number of parameters: 2

id: 7095
unit: def select_query()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/neuron_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7096
unit: def select_head()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/neuron_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7097
unit: def select_step()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/neuron_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7098
unit: def select_layer()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/attention_head_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7099
unit: def select_head()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/attention_head_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7100
unit: def select_step()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/utils/attention_head_view.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7101
unit: def model_fn()
file: patterns/ml_gateway/code/train_deploy.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7102
unit: def encrypt()
file: sagemaker-fundamentals/create-training-job/container_kms/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7103
unit: def decrypt()
file: sagemaker-fundamentals/create-training-job/container_kms/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7104
unit: def load_model()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/predictor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7105
unit: def __init__()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7106
unit: def write_failure_file()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7107
unit: def __init__()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7108
unit: def write_failure_file()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7109
unit: def __enter__()
file: autopilot/model-explainability/managed_endpoint.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7110
unit: def _label_path_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7111
unit: def find_file()
file: sagemaker_neo_compilation_jobs/deploy_mxnet_model_on_Inf1_instance/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7112
unit: def find_file()
file: sagemaker_neo_compilation_jobs/mxnet_mnist/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7113
unit: def plot_worker_bbs()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7114
unit: def main()
file: ground_truth_labeling_jobs/video_annotations_quality_assessment/quality_metrics_cli.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7115
unit: def job_name_to_label_attribute()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/label_arn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7116
unit: def associate_with_child_batch()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7117
unit: def validate_smgt_job_name()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7118
unit: def add_missing_keys()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7119
unit: def lambda_handler()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7120
unit: def ping()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/container/news-classifier/predictor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7121
unit: def create_ref_at_parent_key()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7122
unit: def copy()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7123
unit: def attribute_names()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/prepare_for_training.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7124
unit: def lambda_handler()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/MetaData/update.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7125
unit: def ping()
file: aws_marketplace/creating_marketplace_products/algorithms/container/decision_trees/predictor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7126
unit: def model()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7127
unit: def save_model()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/code/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7128
unit: def predict_fn()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7129
unit: def save_model()
file: step-functions-data-science-sdk/training_pipeline_pytorch_mnist/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7130
unit: def get_test_data()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7131
unit: def model_fn()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7132
unit: def compute_metrics()
file: hyperparameter_tuning/huggingface_multiclass_text_classification_20_newsgroups/code/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7133
unit: def save_model()
file: hyperparameter_tuning/pytorch_mnist/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7134
unit: def find_file()
file: hyperparameter_tuning/mxnet_mnist/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7135
unit: def get_train_context()
file: hyperparameter_tuning/mxnet_mnist/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7136
unit: def __init__()
file: sagemaker-lineage/visualizer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7137
unit: def model_fn()
file: introduction_to_amazon_algorithms/xgboost_abalone/inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7138
unit: def model_fn()
file: introduction_to_amazon_algorithms/xgboost_abalone/abalone.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7139
unit: def generate_random_timestamp()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7140
unit: def to_proto()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7141
unit: def get_tokens()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7142
unit: def vocab_to_pickle()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7143
unit: def vocab_to_json()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7144
unit: def __init__()
file: advanced_functionality/autogluon-tabular-containers/ag_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7145
unit: def model_fn()
file: advanced_functionality/autogluon-tabular-containers/scripts/tabular_serve-batch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7146
unit: def model_fn()
file: advanced_functionality/autogluon-tabular-containers/scripts/tabular_serve.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7147
unit: def __init__()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7148
unit: def write_failure_file()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7149
unit: def find_file()
file: advanced_functionality/mxnet_mnist_byom/mnist.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7150
unit: def get_train_context()
file: advanced_functionality/mxnet_mnist_byom/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7151
unit: def model_fn()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7152
unit: def predict_fn()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7153
unit: def output_fn()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/inference.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7154
unit: def output_fn()
file: advanced_functionality/pytorch_deploy_pretrained_bert_model/code/inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7155
unit: def get_model()
file: advanced_functionality/fairseq_translation/fairseq/predictor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7156
unit: def ping()
file: advanced_functionality/fairseq_translation/fairseq/predictor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7157
unit: def __init__()
file: advanced_functionality/multi_model_bring_your_own/container/model_handler.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7158
unit: def postprocess()
file: advanced_functionality/multi_model_bring_your_own/container/model_handler.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7159
unit: def handle()
file: advanced_functionality/multi_model_bring_your_own/container/model_handler.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7160
unit: def check_termination()
file: advanced_functionality/pipe_bring_your_own/train.py
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unit: def predict_fn()
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unit: def _save_model()
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unit: def show_img()
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unit: def vocab_to_json()
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unit: def __init__()
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unit: def transpose_key_for_scores()
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unit: def __init__()
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unit: def mkdir_by_main_process()
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unit: def save_vw_metadata()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/vw_utils.py
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unit: def save_vw_model()
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unit: def parse_example()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/vw_model.py
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unit: def choose_random_user()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
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unit: def _tmpdir()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/docker_utils.py
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unit: def define_environment()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/onnx_utils.py
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def save_vw_metadata()
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unit: def save_vw_model()
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unit: def reset()
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unit: def define_environment()
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unit: def _update_instance_type_for_local_mode()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def create_distillation_loss()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/resnet.py
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unit: def add_new_evaluation_job_info()
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unit: def add_model_eval_scores()
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unit: def set_bcvtb_home()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEp.py
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unit: public void warning()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/bcvtb/lib/xml/src/DTDValidator.java
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file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/onnx_utils.py
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unit: def _update_instance_type_for_local_mode()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def reset()
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unit: def _tmpdir()
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unit: def define_environment()
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unit: def fix_onnx_model()
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def _tmpdir()
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unit: def define_environment()
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unit: def fix_onnx_model()
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def _tmpdir()
file: reinforcement_learning/common/docker_utils.py
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unit: def define_environment()
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unit: def fix_onnx_model()
file: reinforcement_learning/common/sagemaker_rl/onnx_utils.py
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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id: 7311
unit: def _tmpdir()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/docker_utils.py
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unit: def define_environment()
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unit: def fix_onnx_model()
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def _tmpdir()
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unit: def define_environment()
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unit: def fix_onnx_model()
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
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unit: def run()
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McCabe index: 2
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unit: def register_env_creator()
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unit: def get_experiment_config()
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McCabe index: 1
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unit: def __get_window_size()
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McCabe index: 1
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unit: def __locate_on_window()
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McCabe index: 1
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unit: def __draw_agent()
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McCabe index: 1
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unit: def __get_window_size()
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McCabe index: 2
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unit: def __locate_on_window()
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McCabe index: 1
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unit: def _tmpdir()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/docker_utils.py
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McCabe index: 1
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unit: def define_environment()
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unit: def fix_onnx_model()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
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McCabe index: 1
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unit: def model_in_terminal_state()
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McCabe index: 2
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unit: def eval_in_terminal_state()
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McCabe index: 2
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unit: def add_model_eval_scores()
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McCabe index: 2
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unit: def run()
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McCabe index: 2
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unit: def register_env_creator()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def get_experiment_config()
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unit: def _tmpdir()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/docker_utils.py
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unit: def define_environment()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def fix_onnx_model()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/onnx_utils.py
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unit: def __init__()
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unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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unit: def save_board()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/src/tic_tac_toe.py
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unit: def _tmpdir()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/docker_utils.py
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unit: def define_environment()
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unit: def fix_onnx_model()
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unit: def __init__()
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unit: def run()
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unit: def register_env_creator()
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unit: def get_experiment_config()
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id: 7376
unit: def seed()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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number of parameters: 2

id: 7377
unit: def _cur_close()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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unit: def _tmpdir()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/docker_utils.py
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unit: def define_environment()
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id: 7380
unit: def fix_onnx_model()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def __enter__()
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unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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unit: def add_model_eval_scores()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 2
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unit: def run()
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McCabe index: 2
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id: 7389
unit: def register_env_creator()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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unit: def get_experiment_config()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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id: 7391
unit: def flush_queues()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/eplus/envs/medium_office_env.py
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McCabe index: 3
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id: 7392
unit: def _tmpdir()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/docker_utils.py
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number of parameters: 3

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unit: def define_environment()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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id: 7394
unit: def fix_onnx_model()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/onnx_utils.py
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unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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id: 7396
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def __enter__()
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id: 7398
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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McCabe index: 2
number of parameters: 1

id: 7401
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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unit: def run()
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McCabe index: 2
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id: 7403
unit: def register_env_creator()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/ray_launcher.py
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unit: def get_experiment_config()
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id: 7405
unit: def step()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/news_vendor_env.py
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McCabe index: 1
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id: 7406
unit: def __get_window_size()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
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McCabe index: 2
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id: 7407
unit: def __locate_on_window()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
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McCabe index: 1
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id: 7408
unit: def __get_item()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/bin_packing_env.py
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McCabe index: 1
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id: 7409
unit: def step()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/bin_packing_env.py
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McCabe index: 3
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id: 7410
unit: def _tmpdir()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/docker_utils.py
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McCabe index: 1
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unit: def define_environment()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 7412
unit: def fix_onnx_model()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7414
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def __enter__()
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McCabe index: 1
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unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 7417
unit: def model_in_terminal_state()
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unit: def eval_in_terminal_state()
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McCabe index: 2
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unit: def add_model_eval_scores()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 2
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unit: def run()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 2
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id: 7421
unit: def register_env_creator()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def get_experiment_config()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def _tmpdir()
file: reinforcement_learning/rl_roboschool_ray/common/docker_utils.py
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McCabe index: 1
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unit: def define_environment()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 7425
unit: def fix_onnx_model()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7427
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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unit: def __enter__()
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McCabe index: 1
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id: 7429
unit: def add_new_evaluation_job_info()
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McCabe index: 1
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unit: def model_in_terminal_state()
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McCabe index: 2
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unit: def eval_in_terminal_state()
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McCabe index: 2
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id: 7432
unit: def add_model_eval_scores()
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McCabe index: 2
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unit: def run()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 2
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unit: def register_env_creator()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def get_experiment_config()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/src/item.py
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McCabe index: 1
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unit: def _tmpdir()
file: reinforcement_learning/rl_knapsack_coach_custom/common/docker_utils.py
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McCabe index: 1
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unit: def define_environment()
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McCabe index: 1
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unit: def fix_onnx_model()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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unit: def __enter__()
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McCabe index: 1
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unit: def add_new_evaluation_job_info()
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McCabe index: 1
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unit: def model_in_terminal_state()
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McCabe index: 2
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unit: def eval_in_terminal_state()
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McCabe index: 2
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unit: def add_model_eval_scores()
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McCabe index: 2
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unit: def run()
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McCabe index: 2
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unit: def register_env_creator()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7449
unit: def get_experiment_config()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7450
unit: def _reset_spike()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/autoscalesim.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7451
unit: def _tmpdir()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/docker_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7452
unit: def define_environment()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7453
unit: def fix_onnx_model()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7454
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7455
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7456
unit: def __enter__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7457
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7458
unit: def model_in_terminal_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7459
unit: def eval_in_terminal_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7460
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7461
unit: def run()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7462
unit: def register_env_creator()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7463
unit: def get_experiment_config()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7464
unit: def _tmpdir()
file: reinforcement_learning/rl_unity_ray/common/docker_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7465
unit: def define_environment()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7466
unit: def fix_onnx_model()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/onnx_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7467
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7468
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7469
unit: def __enter__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7470
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7471
unit: def model_in_terminal_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7472
unit: def eval_in_terminal_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7473
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7474
unit: def run()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7475
unit: def register_env_creator()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7476
unit: def get_experiment_config()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7477
unit: def _tmpdir()
file: reinforcement_learning/rl_cartpole_batch_coach/common/docker_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7478
unit: def define_environment()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7479
unit: def fix_onnx_model()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/onnx_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7480
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7481
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7482
unit: def __enter__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7483
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7484
unit: def model_in_terminal_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7485
unit: def eval_in_terminal_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7486
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7487
unit: def run()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7488
unit: def register_env_creator()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7489
unit: def get_experiment_config()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7490
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7491
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7492
unit: def reset_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7493
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7494
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7495
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/camera_manager.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7496
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum_manager.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7497
unit: def get_angle_between_two_points_2d_rad()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7498
unit: def reset_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7499
unit: def spawn_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7500
unit: def update_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7501
unit: def _get_sdf_string()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/handlers/follow_car_camera.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7502
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7503
unit: def phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7504
unit: def collect_savers()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7505
unit: def should_stop()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7506
unit: def get_data_store()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7507
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rospy_wrappers.py
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size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7508
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7509
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7510
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7511
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7512
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_visual_color_tracker.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7513
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/get_link_state_tracker.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7514
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/get_model_state_tracker.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7515
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_visual_transparency_tracker.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7516
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_model_state_tracker.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7517
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/tracker_manager.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7518
unit: def remove()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/tracker_manager.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7519
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7520
unit: def log_except_and_exit()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7521
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/rules/crash_reset_rule.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7522
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/rules/reverse_reset_rule.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7523
unit: def verify_last_episode_is_closed()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7524
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7525
unit: def center_line()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7526
unit: def inner_border()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7527
unit: def outer_border()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7528
unit: def inner_lane()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7529
unit: def outer_lane()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7530
unit: def pose_distance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7531
unit: def get_hide_positions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7532
unit: def force_list()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7533
unit: def get_boto_config()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7534
unit: def pos_2d_str_to_list()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7535
unit: def exit_gracefully()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7536
unit: def clear()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7537
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rollout_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7538
unit: def current_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/fsm.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7539
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effect_manager.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7540
unit: def add()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effect_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7541
unit: def remove()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effect_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7542
unit: def get_instance()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/randomizer_manager.py
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size: 4 LOC
McCabe index: 2
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id: 7543
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/s3_metrics.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7544
unit: def validate_dict()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/constants.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7545
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7546
unit: def action_space_type()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7547
unit: def training_algorithm()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7548
unit: def get_model_metadata_info()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7549
unit: def get_ip_config()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/ip_config.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7550
unit: def get_hyperparameters_dict()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/hyperparameters.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7551
unit: def _validate_virtual_event_yaml_values()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 7552
unit: def _get_boto_config()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/deepracer_boto_client.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7553
unit: def _tmpdir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/docker_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7554
unit: def define_environment()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7555
unit: def fix_onnx_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/onnx_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7556
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
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size: 4 LOC
McCabe index: 1
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id: 7557
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 7558
unit: def __enter__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 4 LOC
McCabe index: 1
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id: 7559
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7560
unit: def model_in_terminal_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 2
number of parameters: 1

id: 7561
unit: def eval_in_terminal_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7562
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7563
unit: def run()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7564
unit: def register_env_creator()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7565
unit: def get_experiment_config()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7566
unit: def _is_path_exists()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/sim_app_bundler.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7567
unit: def _tmpdir()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/docker_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7568
unit: def define_environment()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7569
unit: def fix_onnx_model()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/onnx_utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7570
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7571
unit: def _update_instance_type_for_local_mode()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7572
unit: def __enter__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7573
unit: def add_new_evaluation_job_info()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 0

id: 7574
unit: def model_in_terminal_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 2
number of parameters: 1

id: 7575
unit: def eval_in_terminal_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7576
unit: def add_model_eval_scores()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7577
unit: def run()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7578
unit: def register_env_creator()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7579
unit: def get_experiment_config()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7580
unit: def get_resource_config()
file: sagemaker_processing/feature_transformation_with_sagemaker_processing_dask/container/program/bootstrap.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7581
unit: def get_resource_config()
file: sagemaker_processing/feature_transformation_with_sagemaker_processing/container/program/bootstrap.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7582
unit: def _metric_average()
file: sagemaker-python-sdk/pytorch_horovod_mnist/code/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7583
unit: def _save_model()
file: sagemaker-python-sdk/pytorch_cnn_cifar10/source/cifar10.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7584
unit: def _get_transform()
file: sagemaker-python-sdk/pytorch_cnn_cifar10/utils_cifar.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7585
unit: def imshow()
file: sagemaker-python-sdk/pytorch_cnn_cifar10/utils_cifar.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7586
unit: def find_file()
file: sagemaker-python-sdk/managed_spot_training_mxnet/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7587
unit: def save_model()
file: sagemaker-python-sdk/pytorch_mnist/mnist.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7588
unit: def _load_training_data()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist-2.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7589
unit: def _load_testing_data()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist-2.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7590
unit: def _load_training_data()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7591
unit: def _load_testing_data()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7592
unit: def forward()
file: sagemaker-python-sdk/dgl_gcmc/train.py
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size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7593
unit: def params_clip_global_norm()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7594
unit: def find_file()
file: sagemaker-python-sdk/mxnet_onnx_export/mnist.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7595
unit: def merge_two_dicts()
file: sagemaker-python-sdk/scikit_learn_inference_pipeline/sklearn_abalone_featurizer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7596
unit: def find_file()
file: sagemaker-python-sdk/mxnet_mnist/mnist.py
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McCabe index: 3
number of parameters: 2

id: 7597
unit: def find_file()
file: sagemaker-python-sdk/mxnet_mnist/mnist_ei.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7598
unit: def vocab_to_json()
file: sagemaker-python-sdk/mxnet_gluon_sentiment/sentiment.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7599
unit: def __init__()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7600
unit: def update()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7601
unit: def evaluate()
file: sagemaker-python-sdk/dgl_gcn/mxnet_gcn.py
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McCabe index: 1
number of parameters: 4

id: 7602
unit: def model_fn()
file: frameworks/pytorch/code/inference.py
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McCabe index: 1
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id: 7603
unit: def predict_fn()
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McCabe index: 1
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id: 7604
unit: def output_fn()
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McCabe index: 1
number of parameters: 2

id: 7605
unit: def unload_model()
file: sagemaker_edge_manager/sagemaker_edge_example/inference.py
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McCabe index: 1
number of parameters: 1

id: 7606
unit: def model_fn()
file: sagemaker-script-mode/xgboost_script/train_deploy_xgboost_with_dependencies.py
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McCabe index: 1
number of parameters: 1

id: 7607
unit: def model_fn()
file: sagemaker-inference-recommender/sklearn-inference-recommender/code/inference.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7608
unit: def save_model()
file: sagemaker-experiments/mnist-handwritten-digits-classification-experiment/mnist.py
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McCabe index: 1
number of parameters: 2

id: 7609
unit: def model_fn()
file: sagemaker-jumpstart/multimodal_tabtext/code/inference.py
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McCabe index: 1
number of parameters: 1

id: 7610
unit: def transform_fn()
file: sagemaker-jumpstart/multimodal_tabtext/code/inference.py
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McCabe index: 1
number of parameters: 4

id: 7611
unit: def __init__()
file: sagemaker-jumpstart/multimodal_tabtext/ag_model.py
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McCabe index: 1
number of parameters: 3

id: 7612
unit: def model_fn()
file: sagemaker-jumpstart/multicategory_sec/code/inference.py
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McCabe index: 1
number of parameters: 1

id: 7613
unit: def transform_fn()
file: sagemaker-jumpstart/multicategory_sec/code/inference.py
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McCabe index: 1
number of parameters: 4

id: 7614
unit: def __init__()
file: sagemaker-jumpstart/multicategory_sec/ag_model.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7615
unit: def load_data()
file: r_examples/rsconnect_streamlit/breast-cancer-streamlit-app/app.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7616
unit: inference <- function()
file: r_examples/r_serving_with_fastapi/deploy.R
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7617
unit: def __init__()
file: sagemaker-debugger/pytorch_iterative_model_pruning/src/custom_hook.py
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McCabe index: 1
number of parameters: 3

id: 7618
unit: def transformer()
file: sagemaker-debugger/mxnet_spot_training/mxnet_gluon_spot_training.py
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McCabe index: 1
number of parameters: 2

id: 7619
unit: def __init__()
file: sagemaker-debugger/tensorflow_keras_custom_rule/rules/my_custom_rule.py
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McCabe index: 1
number of parameters: 3

id: 7620
unit: def transform_delay()
file: sagemaker-debugger/pytorch_profiling/entry_point/pytorch_res50_cifar10_dataloader.py
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McCabe index: 1
number of parameters: 1

id: 7621
unit: def on_train_batch_begin()
file: sagemaker-debugger/tensorflow_profiling/entry_point/tf-TensorLike.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7622
unit: def on_train_batch_begin()
file: sagemaker-debugger/tensorflow_profiling/entry_point/train_tf.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7623
unit: def on_train_batch_begin()
file: sagemaker-debugger/debugger_interactive_analysis_profiling/train_tf.py
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McCabe index: 2
number of parameters: 3

id: 7624
unit: def _worker_fn()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/data.py
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McCabe index: 1
number of parameters: 2

id: 7625
unit: def __call__()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/model.py
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size: 3 LOC
McCabe index: 3
number of parameters: 4

id: 7626
unit: def __init__()
file: sagemaker-debugger/model_specific_realtime_analysis/bert_attention_head_view/entry_point/model.py
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McCabe index: 1
number of parameters: 4

id: 7627
unit: def main()
file: sagemaker-debugger/model_specific_realtime_analysis/autoencoder_mnist/src/autoencoder_mnist.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7628
unit: def __init__()
file: patterns/ml_gateway/helpers/feature_store.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7629
unit: def end()
file: patterns/ml_gateway/helpers/feature_store.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7630
unit: def ml_gateway_cf_body()
file: patterns/ml_gateway/helpers/ml_gateway.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7631
unit: def get_data_key_ciphertext()
file: sagemaker-fundamentals/create-training-job/container_kms/train.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7632
unit: def get_data_key_plaintext()
file: sagemaker-fundamentals/create-training-job/container_kms/train.py
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McCabe index: 1
number of parameters: 2

id: 7633
unit: def ping()
file: sagemaker-fundamentals/create-endpoint/container/src/predictor.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7634
unit: def load_json_object()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7635
unit: def load_json_object()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7636
unit: def __init__()
file: autopilot/model-explainability/managed_endpoint.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7637
unit: def model_fn()
file: autopilot/custom-feature-selection/sklearn_feature_selection.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7638
unit: def label_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7639
unit: def _get_imsize()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7640
unit: def serving_input_fn()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/mnist.py
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end line: 0
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McCabe index: 1
number of parameters: 0

id: 7641
unit: def __init__()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7642
unit: def hex_to_rgb()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7643
unit: def get_object_bytes()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7644
unit: def down_sample_to_proportion()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/step_functions_send_second_level_sns_and_check_response/main.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7645
unit: def get_account_id()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7646
unit: def get_region()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7647
unit: def get_aws_region()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7648
unit: def get_boto_client()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7649
unit: def log_request_and_context()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/log.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7650
unit: def update_batch_status()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7651
unit: def update_batch_child_count()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7652
unit: def update_batch_step_token()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7653
unit: def update_batch_current_step()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7654
unit: def update_batch_down_sample_location()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7655
unit: def mark_batch_and_children_failed()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7656
unit: def username_sub_lookup()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/datalake/scripts/glue_reporting_transform_script.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7657
unit: def from_uri()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7658
unit: def get_content_size()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7659
unit: def validate_output_path()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/Bootstrap/copy_input_manifest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 7660
unit: def get_unlabeled_subset_count()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/Labeling/prepare_for_labeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7661
unit: def __init__()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/prepare_for_training.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7662
unit: def predict()
file: aws_marketplace/creating_marketplace_products/algorithms/container/decision_trees/predictor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7663
unit: def __init__()
file: aws_marketplace/creating_marketplace_products/algorithms/src/tuning_objectives.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7664
unit: def __init__()
file: aws_marketplace/creating_marketplace_products/algorithms/src/metric_definitions.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7665
unit: def __init__()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7666
unit: def predict_from_csv()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7667
unit: def predict_from_jsonlines()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7668
unit: def get_file_name()
file: sagemaker_model_monitor/tensorflow/monitoringjob_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7669
unit: def download_and_extract()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7670
unit: def _masked_crc32c()
file: sagemaker_batch_transform/working_with_tfrecords/tfrecord-transformer-container/app/main.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7671
unit: def save_model()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7672
unit: parse_file <- function()
file: sagemaker_batch_transform/introduction_to_batch_transform/plumber.R
start line: 42
end line: 44
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7673
unit: parse_json <- function()
file: sagemaker_batch_transform/introduction_to_batch_transform/plumber.R
start line: 48
end line: 50
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7674
unit: parse_file <- function()
file: sagemaker_batch_transform/introduction_to_batch_transform/dbscan.R
start line: 64
end line: 66
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7675
unit: parse_json <- function()
file: sagemaker_batch_transform/introduction_to_batch_transform/dbscan.R
start line: 70
end line: 72
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7676
unit: serve <- function()
file: sagemaker_batch_transform/introduction_to_batch_transform/dbscan.R
start line: 76
end line: 78
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7677
unit: def handle_missing_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowMultiGPU.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7678
unit: def handle_missing_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowMultiCPU.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7679
unit: def handle_missing_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleGPU.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7680
unit: def handle_missing_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleCPU.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7681
unit: serve <- function()
file: hyperparameter_tuning/r_bring_your_own/mars.R
start line: 82
end line: 84
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7682
unit: def __init__()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7683
unit: def __init__()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7684
unit: def serving_input_fn()
file: hyperparameter_tuning/tensorflow_mnist/mnist.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7685
unit: def build_image()
file: hyperparameter_tuning/keras_bring_your_own/main.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7686
unit: def get_tensorflow_version_tag()
file: hyperparameter_tuning/keras_bring_your_own/main.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7687
unit: def load_config()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7688
unit: def get_name()
file: sagemaker-lineage/visualizer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7689
unit: def ip2int()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7690
unit: def int2ip()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7691
unit: def draw_ip_from_asn()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7692
unit: def draw_ip()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7693
unit: def main()
file: advanced_functionality/custom-training-containers/framework-container/package/src/custom_framework_training/training.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7694
unit: def load_json_object()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7695
unit: def take()
file: advanced_functionality/autogluon-tabular/container-training/inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7696
unit: def show_in_html()
file: advanced_functionality/autogluon-tabular/utils/ag_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7697
unit: def serving_input_fn()
file: advanced_functionality/tensorflow_bring_your_own/container/cifar10/cifar10.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7698
unit: def main()
file: advanced_functionality/tensorflow_bring_your_own/container/cifar10/cifar10.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7699
unit: def loss()
file: advanced_functionality/jax_bring_your_own/training_scripts/train_jax.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7700
unit: def predict_fn()
file: advanced_functionality/pytorch_deploy_pretrained_bert_model/code/inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7701
unit: def trap_signal()
file: advanced_functionality/pipe_bring_your_own/train.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7702
unit: def model_fn()
file: advanced_functionality/multi_model_linear_learner_home_value/sklearn_preprocessor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7703
unit: def serving_input_fn()
file: advanced_functionality/tensorflow_iris_byom/iris_dnn_classifier.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7704
unit: def predict()
file: advanced_functionality/scikit_bring_your_own/container/decision_trees/predictor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7705
unit: def model_fn()
file: aws_sagemaker_studio/sagemaker-python-sdk/scikit_learn_iris/scikit_learn_iris.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7706
unit: def serving_input_fn()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/cifar10/cifar10.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7707
unit: def main()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/cifar10/cifar10.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7708
unit: def predict()
file: aws_sagemaker_studio/sagemaker_studio_image_build/xgboost_bring_your_own/xgboost/predictor.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7709
unit: def serving_input_fn()
file: aws_sagemaker_studio/frameworks/tensorflow_mnist/mnist.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7710
unit: def download_and_extract()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/generate_cifar10_tfrecords.py
start line: 0
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7711
unit: def model_fn()
file: sagemaker-clarify/clarify-explainability-inference-pipelines/inference/sklearn/inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7712
unit: def test_step()
file: training/distributed_training/pytorch/model_parallel/gpt2/train_gpt_simple.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7713
unit: def __len__()
file: training/distributed_training/pytorch/model_parallel/gpt2/data_pipeline.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7714
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7715
unit: def maybe_print()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7716
unit: def _master_params_to_model_params()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7717
unit: def _model_params_to_master_params()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7718
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7719
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7720
unit: def bias_gelu()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7721
unit: def bias_gelu_training()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7722
unit: def bias_tanh()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7723
unit: def to_dict()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7724
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7725
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7726
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7727
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7728
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7729
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7730
unit: def signal_handler()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/sagemaker_smp_pretrain.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7731
unit: def __call__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/sagemaker_smp_pretrain.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7732
unit: def __len__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/sagemaker_smp_pretrain.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7733
unit: def barrier()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 0

id: 7734
unit: def sync_local_checkpoints_to_s3()
file: training/distributed_training/tensorflow/model_parallel/mnist/utils/tf2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7735
unit: def sync_s3_checkpoints_to_local()
file: training/distributed_training/tensorflow/model_parallel/mnist/utils/tf2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7736
unit: def get_dw_container_for_region()
file: use-cases/predictive_maintenance/demo_helpers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7737
unit: def transform_to_vw()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/vw_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7738
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/vw_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7739
unit: def clear_buffer()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7740
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/misc.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7741
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7742
unit: def apply_hyperparameter()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7744
unit: def get_client()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7745
unit: def create_s3_signal()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
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id: 7746
unit: def _setup_mpi_environment()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

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unit: def __call__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7748
unit: def is_master()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

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unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
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number of parameters: 3

id: 7750
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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unit: def _get_cf_stack_events_link()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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number of parameters: 1

id: 7753
unit: def _get_experiment_db_property()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 7754
unit: def _get_model_db_property()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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unit: def _get_join_db_property()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

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unit: def _get_iam_role_property()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7757
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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unit: def delete_endpoint()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
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id: 7759
unit: def delete_item()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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unit: def train_main()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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unit: def reset()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7763
unit: def close()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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size: 3 LOC
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number of parameters: 2

id: 7764
unit: def render()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 7765
unit: def __init__()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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McCabe index: 1
number of parameters: 2

id: 7766
unit: def transform_to_vw()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_utils.py
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McCabe index: 2
number of parameters: 1

id: 7767
unit: def evaluate_main()
file: reinforcement_learning/rl_cartpole_coach/src/evaluate-coach.py
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number of parameters: 1

id: 7768
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_cartpole_coach/common/misc.py
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number of parameters: 1

id: 7769
unit: def __init__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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id: 7770
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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unit: def __init__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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id: 7772
unit: def get_client()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
number of parameters: 1

id: 7773
unit: def create_s3_signal()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 7774
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7775
unit: def __call__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7776
unit: def is_master()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 3

id: 7778
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 7779
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 7780
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7781
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7782
unit: def _get_model_db_property()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7783
unit: def _get_join_db_property()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7784
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7785
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7786
unit: def delete_endpoint()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7787
unit: def delete_item()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 3 LOC
McCabe index: 1
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id: 7788
unit: def __init__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 7789
unit: def train_main()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7790
unit: def reset()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7791
unit: def close()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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McCabe index: 1
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id: 7792
unit: def render()
file: reinforcement_learning/rl_cartpole_coach/common/env_utils.py
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McCabe index: 1
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id: 7793
unit: def create_environment()
file: reinforcement_learning/rl_network_compression_ray_custom/src/train-ray.py
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McCabe index: 1
number of parameters: 1

id: 7794
unit: def save_obj()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/pickle_stuff.py
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McCabe index: 1
number of parameters: 2

id: 7795
unit: def load_pkl_obj()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/ops.py
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McCabe index: 1
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id: 7796
unit: def _get_memory_footprint_real()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/dense.py
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McCabe index: 1
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id: 7797
unit: def _get_memory_footprint_real()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/compressor/layers/conv.py
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McCabe index: 1
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id: 7798
unit: def reset_params()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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McCabe index: 2
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id: 7799
unit: def __del__()
file: reinforcement_learning/rl_network_compression_ray_custom/src/tensorflow_resnet/network_compression.py
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McCabe index: 1
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id: 7800
unit: def reset()
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id: 7801
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_network_compression_ray_custom/common/misc.py
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unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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id: 7803
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 7805
unit: def get_client()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 7806
unit: def create_s3_signal()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 7807
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7808
unit: def __call__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7809
unit: def is_master()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7810
unit: def __init__()
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McCabe index: 1
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id: 7811
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
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id: 7812
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 7813
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 2
number of parameters: 1

id: 7814
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7815
unit: def _get_model_db_property()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7816
unit: def _get_join_db_property()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7817
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7818
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7819
unit: def delete_endpoint()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7820
unit: def delete_item()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 7821
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 7822
unit: def train_main()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7823
unit: def reset()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7824
unit: def close()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7825
unit: def render()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7826
unit: def __enter__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/socket_builder.py
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McCabe index: 1
number of parameters: 1

id: 7827
unit: def write()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEp.py
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McCabe index: 1
number of parameters: 2

id: 7828
unit: public void fatalError()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/bcvtb/lib/xml/src/DTDValidator.java
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end line: 81
size: 3 LOC
McCabe index: 1
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id: 7829
unit: def evaluate_main()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 7830
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/misc.py
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McCabe index: 1
number of parameters: 1

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unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 7832
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 7834
unit: def get_client()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 7835
unit: def create_s3_signal()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
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id: 7836
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7837
unit: def __call__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7838
unit: def is_master()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 3

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unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7840
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7841
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7842
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7843
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7844
unit: def _get_model_db_property()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7845
unit: def _get_join_db_property()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7846
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7847
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7848
unit: def delete_endpoint()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7849
unit: def delete_item()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7850
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7851
unit: def train_main()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7852
unit: def reset()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7853
unit: def close()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7854
unit: def render()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7855
unit: def evaluate_main()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/evaluate-coach.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7856
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7857
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7858
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7859
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7860
unit: def get_client()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7861
unit: def create_s3_signal()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7862
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7863
unit: def __call__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7864
unit: def is_master()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7865
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7866
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7867
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7868
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7869
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7870
unit: def _get_model_db_property()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7871
unit: def _get_join_db_property()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7872
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7873
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7874
unit: def delete_endpoint()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7875
unit: def delete_item()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7876
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7877
unit: def train_main()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/ray_launcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7878
unit: def reset()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7879
unit: def close()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7880
unit: def render()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7881
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_cartpole_ray/common/misc.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7882
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7883
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7884
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7885
unit: def get_client()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7886
unit: def create_s3_signal()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7887
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7888
unit: def __call__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7889
unit: def is_master()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7890
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7891
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7892
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7893
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7894
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7895
unit: def _get_model_db_property()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7896
unit: def _get_join_db_property()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7897
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7898
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7899
unit: def delete_endpoint()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7900
unit: def delete_item()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7901
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7902
unit: def train_main()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7903
unit: def reset()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7904
unit: def close()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7905
unit: def render()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7906
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7907
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7908
unit: def apply_hyperparameter()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7909
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7910
unit: def get_client()
file: reinforcement_learning/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7911
unit: def create_s3_signal()
file: reinforcement_learning/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7912
unit: def _setup_mpi_environment()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7913
unit: def __call__()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7914
unit: def is_master()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7915
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7916
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7917
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7918
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7919
unit: def _get_experiment_db_property()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7920
unit: def _get_model_db_property()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7921
unit: def _get_join_db_property()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7922
unit: def _get_iam_role_property()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7923
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7924
unit: def delete_endpoint()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7925
unit: def delete_item()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7926
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7927
unit: def train_main()
file: reinforcement_learning/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7928
unit: def reset()
file: reinforcement_learning/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7929
unit: def close()
file: reinforcement_learning/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7930
unit: def render()
file: reinforcement_learning/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7931
unit: def get_curr_time()
file: reinforcement_learning/rl_game_server_autopilot/ap-server/app.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7932
unit: def render()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/src/gameserver_env.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7933
unit: def register_env_creator()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/src/train_gameserver_ppo.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7934
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7935
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7936
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7937
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7938
unit: def get_client()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7939
unit: def create_s3_signal()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7940
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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unit: def __call__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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unit: def is_master()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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unit: def __init__()
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unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 7947
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 7948
unit: def _get_model_db_property()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 7949
unit: def _get_join_db_property()
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McCabe index: 1
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unit: def _get_iam_role_property()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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unit: def create_firehose_stream_if_not_exists()
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unit: def delete_endpoint()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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unit: def delete_item()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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unit: def __init__()
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unit: def train_main()
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unit: def reset()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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number of parameters: 2

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unit: def close()
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number of parameters: 2

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unit: def render()
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number of parameters: 2

id: 7959
unit: def evaluate_main()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 7960
unit: def PatientMountainCar()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/src/patient_envs.py
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McCabe index: 1
number of parameters: 0

id: 7961
unit: def PatientContinuousMountainCar()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/src/patient_envs.py
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McCabe index: 1
number of parameters: 0

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unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/misc.py
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McCabe index: 1
number of parameters: 1

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unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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unit: def apply_hyperparameter()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7966
unit: def get_client()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7967
unit: def create_s3_signal()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7968
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7969
unit: def __call__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7970
unit: def is_master()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 3

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unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 3

id: 7972
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
number of parameters: 1

id: 7973
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 7974
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7975
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7976
unit: def _get_model_db_property()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7977
unit: def _get_join_db_property()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7978
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7979
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 7980
unit: def delete_endpoint()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 1

id: 7981
unit: def delete_item()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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unit: def train_main()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
number of parameters: 1

id: 7984
unit: def reset()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7985
unit: def close()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7986
unit: def render()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 7987
unit: def __place_driver()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/VRP_env.py
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McCabe index: 3
number of parameters: 1

id: 7988
unit: def __draw_driver()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/VRP_view_2D.py
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McCabe index: 1
number of parameters: 3

id: 7989
unit: def _create_text_surface()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/VRP_view_2D.py
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McCabe index: 1
number of parameters: 4

id: 7990
unit: def evaluate_main()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py
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McCabe index: 1
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id: 7991
unit: def __place_driver()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/VRP_abstract_env.py
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McCabe index: 3
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id: 7992
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/misc.py
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McCabe index: 1
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unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def apply_hyperparameter()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 7996
unit: def get_client()
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McCabe index: 1
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id: 7997
unit: def create_s3_signal()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 7999
unit: def __call__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8000
unit: def is_master()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 8002
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
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unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 8004
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 2
number of parameters: 1

id: 8005
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 8006
unit: def _get_model_db_property()
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McCabe index: 1
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id: 8007
unit: def _get_join_db_property()
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McCabe index: 1
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id: 8008
unit: def _get_iam_role_property()
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McCabe index: 1
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id: 8009
unit: def create_firehose_stream_if_not_exists()
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McCabe index: 1
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id: 8010
unit: def delete_endpoint()
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McCabe index: 1
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id: 8011
unit: def delete_item()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 2

id: 8012
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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unit: def train_main()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/ray_launcher.py
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McCabe index: 1
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id: 8014
unit: def reset()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8015
unit: def close()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8016
unit: def render()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8017
unit: def evaluate_main()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 8018
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/misc.py
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McCabe index: 1
number of parameters: 1

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unit: def __init__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8020
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 3

id: 8021
unit: def __init__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8022
unit: def get_client()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
number of parameters: 1

id: 8023
unit: def create_s3_signal()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8024
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8025
unit: def __call__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8026
unit: def is_master()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 3

id: 8027
unit: def __init__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 3

id: 8028
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
number of parameters: 1

id: 8029
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8030
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8031
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8032
unit: def _get_model_db_property()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8033
unit: def _get_join_db_property()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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unit: def _get_iam_role_property()
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id: 8035
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8036
unit: def delete_endpoint()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8037
unit: def delete_item()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 2

id: 8038
unit: def __init__()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/stable_baselines_launcher.py
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id: 8039
unit: def train_main()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8040
unit: def reset()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8041
unit: def close()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8042
unit: def render()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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number of parameters: 2

id: 8043
unit: def __init__()
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unit: def apply_hyperparameter()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def __init__()
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id: 8046
unit: def get_client()
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id: 8047
unit: def create_s3_signal()
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number of parameters: 2

id: 8048
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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id: 8049
unit: def __call__()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8050
unit: def is_master()
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number of parameters: 3

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unit: def __init__()
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unit: def train_main()
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id: 8053
unit: def evaluate_main()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/evaluate-coach.py
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number of parameters: 1

id: 8054
unit: def from_dir()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 8055
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/misc.py
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number of parameters: 1

id: 8056
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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id: 8057
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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id: 8058
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8059
unit: def get_client()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8060
unit: def create_s3_signal()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8061
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8062
unit: def __call__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8063
unit: def is_master()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8064
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8065
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8066
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8067
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8068
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8069
unit: def _get_model_db_property()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8070
unit: def _get_join_db_property()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8071
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8072
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8073
unit: def delete_endpoint()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8074
unit: def delete_item()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8075
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8076
unit: def train_main()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8077
unit: def reset()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8078
unit: def close()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8079
unit: def render()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8080
unit: def train_main()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/hvac_ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8081
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/misc.py
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McCabe index: 1
number of parameters: 1

id: 8082
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8083
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 3

id: 8084
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8085
unit: def get_client()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8086
unit: def create_s3_signal()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8087
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8088
unit: def __call__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 8089
unit: def is_master()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8090
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8091
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
number of parameters: 1

id: 8092
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8093
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8094
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8095
unit: def _get_model_db_property()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8096
unit: def _get_join_db_property()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8097
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8098
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 8099
unit: def delete_endpoint()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 8100
unit: def delete_item()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 8101
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 8102
unit: def train_main()
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McCabe index: 1
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id: 8103
unit: def reset()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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McCabe index: 1
number of parameters: 2

id: 8104
unit: def close()
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McCabe index: 1
number of parameters: 2

id: 8105
unit: def render()
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McCabe index: 1
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id: 8106
unit: def _get_tmp_progress_filename()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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McCabe index: 1
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id: 8107
unit: def __missing__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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McCabe index: 1
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id: 8108
unit: def register_env_creator()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/train_vehicle_routing_problem.py
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McCabe index: 1
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id: 8109
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/news_vendor_env.py
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McCabe index: 1
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id: 8110
unit: def __draw_driver()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
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McCabe index: 1
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id: 8111
unit: def _create_text_surface()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_view_2D.py
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McCabe index: 1
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id: 8112
unit: def __place_driver()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/vrp_env.py
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McCabe index: 3
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id: 8113
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/bin_packing_env.py
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McCabe index: 1
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id: 8114
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/misc.py
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McCabe index: 1
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id: 8115
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8116
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8117
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8118
unit: def get_client()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
number of parameters: 1

id: 8119
unit: def create_s3_signal()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 8120
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8121
unit: def __call__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8122
unit: def is_master()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 3

id: 8123
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 3

id: 8124
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 2
number of parameters: 1

id: 8125
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 8126
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 2
number of parameters: 1

id: 8127
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8128
unit: def _get_model_db_property()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 3

id: 8129
unit: def _get_join_db_property()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 8130
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8131
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8132
unit: def delete_endpoint()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8133
unit: def delete_item()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8134
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8135
unit: def train_main()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/ray_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8136
unit: def reset()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8137
unit: def close()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8138
unit: def render()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8139
unit: def create_environment()
file: reinforcement_learning/rl_roboschool_ray/src/train-reacher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8140
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_roboschool_ray/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8141
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8142
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
number of parameters: 3

id: 8143
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8144
unit: def get_client()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8145
unit: def create_s3_signal()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8146
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8147
unit: def __call__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8148
unit: def is_master()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8149
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8150
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8151
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8152
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8153
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8154
unit: def _get_model_db_property()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8155
unit: def _get_join_db_property()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8156
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8157
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8158
unit: def delete_endpoint()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8159
unit: def delete_item()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8160
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8161
unit: def train_main()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8162
unit: def reset()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8163
unit: def close()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8164
unit: def render()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8165
unit: def reset()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_env.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8166
unit: def reset()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8167
unit: def _create_text_surface()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 8168
unit: def evaluate_main()
file: reinforcement_learning/rl_knapsack_coach_custom/src/evaluate-coach.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8169
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_knapsack_coach_custom/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8170
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8171
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8172
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8173
unit: def get_client()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8174
unit: def create_s3_signal()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8175
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8176
unit: def __call__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8177
unit: def is_master()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8178
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8179
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8180
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8181
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8182
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8183
unit: def _get_model_db_property()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8184
unit: def _get_join_db_property()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8185
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8186
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8187
unit: def delete_endpoint()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8188
unit: def delete_item()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8189
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8190
unit: def train_main()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8191
unit: def reset()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8192
unit: def close()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8193
unit: def render()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8194
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/autoscalesim.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8195
unit: def evaluate_main()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 8196
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/misc.py
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McCabe index: 1
number of parameters: 1

id: 8197
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8198
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8199
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8200
unit: def get_client()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8201
unit: def create_s3_signal()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8202
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8203
unit: def __call__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8204
unit: def is_master()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8205
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8206
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8207
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8208
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8209
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8210
unit: def _get_model_db_property()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8211
unit: def _get_join_db_property()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8212
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8213
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8214
unit: def delete_endpoint()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8215
unit: def delete_item()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8216
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8217
unit: def train_main()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8218
unit: def reset()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8219
unit: def close()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8220
unit: def render()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8221
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_unity_ray/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8222
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8223
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8224
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8225
unit: def get_client()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8226
unit: def create_s3_signal()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8227
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 3 LOC
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unit: def __call__()
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unit: def is_master()
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unit: def __init__()
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unit: def _sync_experiment_state_with_ddb()
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unit: def _val_list_to_csv_byte_string()
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unit: def _get_cf_stack_events_link()
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unit: def _get_experiment_db_property()
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unit: def _get_model_db_property()
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unit: def _get_join_db_property()
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unit: def _get_iam_role_property()
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unit: def create_firehose_stream_if_not_exists()
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unit: def delete_endpoint()
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unit: def __init__()
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unit: def train_main()
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unit: def close()
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unit: def evaluate_main()
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unit: def wait_for_training_job_to_complete()
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unit: def __init__()
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unit: def apply_hyperparameter()
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unit: def __init__()
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unit: def get_client()
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unit: def create_s3_signal()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/sage_cluster_communicator.py
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unit: def _setup_mpi_environment()
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unit: def __call__()
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unit: def is_master()
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unit: def __init__()
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unit: def _sync_experiment_state_with_ddb()
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unit: def _val_list_to_csv_byte_string()
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unit: def _get_cf_stack_events_link()
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unit: def _get_experiment_db_property()
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unit: def _get_model_db_property()
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unit: def _get_join_db_property()
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unit: def _get_iam_role_property()
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unit: def create_firehose_stream_if_not_exists()
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unit: def delete_endpoint()
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unit: def delete_item()
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unit: def __init__()
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unit: def train_main()
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unit: def reset()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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unit: def close()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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unit: def render()
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id: 8272
unit: def invalid_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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unit: def validate_dict()
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id: 8274
unit: def _update_track_data_object_poses()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
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unit: def update_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
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unit: def _reset_sim_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
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unit: def _update_track_data_bot_car_poses()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
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unit: def remove()
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unit: def update()
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unit: def get()
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unit: def lerp()
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unit: def __init__()
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id: 8283
unit: def get_prediction()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/agents/sac_agent.py
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unit: def save_onnx_graph()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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unit: def handle_episode_ended()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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unit: def _get_checkpoint_state_tf()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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unit: def verify_graph_was_created()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
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unit: def close()
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unit: def __init__()
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unit: def upload_finished_file()
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unit: def __init__()
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unit: def __init__()
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unit: def update_model_color()
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unit: def hide_model_visuals()
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unit: def set_model_position()
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unit: def create_obstacles_agent()
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unit: def create_bot_cars_agent()
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unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
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McCabe index: 2
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unit: def reset()
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unit: def _notify_phase()
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unit: def __init__()
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unit: def add()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/reset_rules_manager.py
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McCabe index: 2
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unit: def __init__()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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unit: def validate_dict()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/constants.py
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McCabe index: 2
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unit: def validate_dict()
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McCabe index: 2
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unit: def validate_dict()
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McCabe index: 2
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unit: def update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
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McCabe index: 2
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id: 8320
unit: def num_complete_episodes()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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McCabe index: 1
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unit: def mean_reward()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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McCabe index: 2
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unit: def save()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8323
unit: def find_prev_next_waypoints()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 8324
unit: def initialize_object()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 8325
unit: def remove_object()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8326
unit: def add_noncollidable_object()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8327
unit: def remove_noncollidable_object()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8328
unit: def is_object_collidable()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8329
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/abstract_spline.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8330
unit: def build_spline()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/abstract_spline.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8331
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/track_spline.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8332
unit: def is_user_error()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
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size: 3 LOC
McCabe index: 4
number of parameters: 1

id: 8333
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/exploration_policies/deepracer_categorical.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8334
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/exploration_policies/deepracer_categorical.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8335
unit: def on_attach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/effects/blink_effect.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8336
unit: def randomize()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/randomizer_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8337
unit: def upload_episode_metrics()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/s3_metrics.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8338
unit: def _download_and_set_model_metadata()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8339
unit: def get_sector_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/virtual_event_best_sector_time.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8340
unit: def is_f1()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8341
unit: def is_multicar()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8342
unit: def model_s3_buckets()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8343
unit: def model_metadata_s3_keys()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8344
unit: def body_shell_types()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8345
unit: def kinesis_webrtc_signaling_channel_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8346
unit: def _overwrite_local_yaml_file()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8347
unit: def get_s3_key()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/utils.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 8348
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/misc.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8349
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8350
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8351
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8352
unit: def get_client()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8353
unit: def create_s3_signal()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8354
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8355
unit: def __call__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8356
unit: def is_master()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8357
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8358
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8359
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8360
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8361
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8362
unit: def _get_model_db_property()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8363
unit: def _get_join_db_property()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8364
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8365
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8366
unit: def delete_endpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8367
unit: def delete_item()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8368
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8369
unit: def train_main()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8370
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8371
unit: def close()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8372
unit: def render()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8373
unit: def wait_for_training_job_to_complete()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/misc.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8374
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8375
unit: def apply_hyperparameter()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8376
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8377
unit: def get_client()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8378
unit: def create_s3_signal()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8379
unit: def _setup_mpi_environment()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8380
unit: def __call__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8381
unit: def is_master()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8382
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8383
unit: def _sync_experiment_state_with_ddb()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8384
unit: def _val_list_to_csv_byte_string()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8385
unit: def _get_cf_stack_events_link()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8386
unit: def _get_experiment_db_property()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8387
unit: def _get_model_db_property()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8388
unit: def _get_join_db_property()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8389
unit: def _get_iam_role_property()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8390
unit: def create_firehose_stream_if_not_exists()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8391
unit: def delete_endpoint()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8392
unit: def delete_item()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8393
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8394
unit: def train_main()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/ray_launcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8395
unit: def reset()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8396
unit: def close()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8397
unit: def render()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8398
unit: def model_fn()
file: sagemaker-python-sdk/scikit_learn_iris/scikit_learn_iris.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8399
unit: def save_model()
file: sagemaker-python-sdk/pytorch_horovod_mnist/code/mnist.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8400
unit: def input_transformer()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8401
unit: def serving_input_fn()
file: sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/mnist.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 8402
unit: def serving_input_fn()
file: sagemaker-python-sdk/tensorflow_script_mode_pipe_mode/pipemode.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 8403
unit: def model_fn()
file: sagemaker-python-sdk/scikit_learn_inference_pipeline/sklearn_abalone_featurizer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8404
unit: def serving_input_fn()
file: sagemaker-python-sdk/managed_spot_training_tensorflow_estimator/iris_dnn_classifier.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8405
unit: def download_and_extract()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/generate_cifar10_tfrecords.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 8406
unit: def serving_input_fn()
file: sagemaker-python-sdk/tensorflow_moving_from_framework_mode_to_script_mode/mnist.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8407
unit: def input_transformer()
file: frameworks/mxnet/code/train.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8408
unit: def __getitem__()
file: frameworks/mxnet/code/train.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8409
unit: def get_data_loader()
file: frameworks/mxnet/code/train.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 8410
unit: def render()
file: end_to_end/music_recommendation/code/parameter_store.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 8411
unit: def get_model()
file: sagemaker-script-mode/pytorch_script/pytorch_model_def.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 8412
unit: def model_fn()
file: sagemaker-script-mode/scikitlearn_script/train_deploy_scikitlearn_without_dependencies.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 8413
unit: def generate_yes_no()
file: sagemaker-script-mode/generate_synthetic_housing_data.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 8414
unit: def predict_fn()
file: sagemaker-inference-recommender/sklearn-inference-recommender/code/inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8415
unit: def save_model()
file: sagemaker-experiments/track-an-airflow-workflow/code/train.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 8416
unit: serve <- function()
file: r_examples/r_byo_r_algo_hpo/mars.R
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id: 8417
unit: def write_to_s3()
file: sagemaker-debugger/xgboost_realtime_analysis/data_utils.py
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size: 2 LOC
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number of parameters: 3

id: 8418
unit: def acc()
file: sagemaker-debugger/mxnet_realtime_analysis/scripts/mnist_gluon_realtime_visualize_demo.py
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size: 2 LOC
McCabe index: 1
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id: 8419
unit: def acc()
file: sagemaker-debugger/mnist_tensor_plot/scripts/mxnet_gluon_save_all_demo.py
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size: 2 LOC
McCabe index: 1
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id: 8420
unit: def between_steps_bottleneck()
file: sagemaker-debugger/tensorflow_profiling/entry_point/tf-TensorLike.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8421
unit: def between_steps_bottleneck()
file: sagemaker-debugger/tensorflow_profiling/entry_point/train_tf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8422
unit: def between_steps_bottleneck()
file: sagemaker-debugger/debugger_interactive_analysis_profiling/train_tf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8423
unit: def image_gradients()
file: sagemaker-debugger/model_specific_realtime_analysis/cnn_class_activation_maps/entry_point/custom_hook.py
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size: 2 LOC
McCabe index: 1
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id: 8424
unit: def deploy_ml_gateway_pattern()
file: patterns/ml_gateway/helpers/ml_gateway.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8425
unit: def __init__()
file: sagemaker-fundamentals/create-training-job/container_kms/train.py
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McCabe index: 1
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id: 8426
unit: def prepare_category_prediction()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/predictor.py
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McCabe index: 1
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id: 8427
unit: def get_agent_by_category()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/predictor.py
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McCabe index: 1
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id: 8428
unit: def exit_gracefully()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
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McCabe index: 1
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id: 8429
unit: def print_json_object()
file: contrib/inference_pipeline_custom_containers/containers/postprocessor/docker/code/utils.py
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McCabe index: 1
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id: 8430
unit: def exit_gracefully()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
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McCabe index: 1
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id: 8431
unit: def print_json_object()
file: contrib/inference_pipeline_custom_containers/containers/preprocessor/docker/code/utils.py
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McCabe index: 1
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id: 8432
unit: def __init__()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/pascal_voc.py
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McCabe index: 1
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id: 8433
unit: def image_path_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/imdb.py
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McCabe index: 1
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id: 8434
unit: def label_from_index()
file: sagemaker_neo_compilation_jobs/gluoncv_yolo/tools/imdb.py
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id: 8435
unit: def _int64_feature()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/utils.py
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id: 8436
unit: def _bytes_feature()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/utils.py
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id: 8437
unit: def _train_input_fn()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/mnist.py
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id: 8438
unit: def _eval_input_fn()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/mnist.py
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id: 8439
unit: def train_input_fn()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/mnist.py
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id: 8440
unit: def eval_input_fn()
file: sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/mnist.py
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id: 8441
unit: def __repr__()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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id: 8442
unit: def __repr__()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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id: 8443
unit: def n_consolidated_boxes()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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id: 8444
unit: def n_worker_boxes()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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id: 8445
unit: def plot_consolidated_bbs()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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id: 8446
unit: def plot_gt_bbs()
file: ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/ground_truth_od.py
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McCabe index: 1
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id: 8447
unit: def initialize_label_map()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
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McCabe index: 1
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id: 8448
unit: def class_names()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
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McCabe index: 1
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id: 8449
unit: def img_array()
file: ground_truth_labeling_jobs/sagemaker_ground_truth_semantic_segmentation_mask_index_correction.py
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McCabe index: 1
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id: 8450
unit: def extract_labeling_job()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/labeling_job_state_change/main.py
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id: 8451
unit: def is_member()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/label_arn.py
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id: 8452
unit: def get_token()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
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id: 8453
unit: def get_aws_account_id_from_arn()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/lambda_context.py
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id: 8454
unit: def log_response()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/log.py
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id: 8455
unit: def get_child_batch_metadata_all()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
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id: 8456
unit: def insert_batch_metadata_input()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/shared/db.py
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id: 8457
unit: def validate_regex()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/lambda_src/api_batch_create/main.py
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id: 8458
unit: def email_username_lookup()
file: ground_truth_labeling_jobs/multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions/src/datalake/scripts/glue_reporting_transform_script.py
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id: 8459
unit: def _dump_jsonlines_entry()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/container/news-classifier/predictor.py
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id: 8460
unit: def generate_random_string()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/string_helper.py
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McCabe index: 2
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id: 8461
unit: def generate_job_id_and_s3_path()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/string_helper.py
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id: 8462
unit: def get_uri()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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McCabe index: 1
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id: 8463
unit: def upload()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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McCabe index: 1
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id: 8464
unit: def query_helper()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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McCabe index: 1
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id: 8465
unit: def download_with_query()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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McCabe index: 1
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id: 8466
unit: def copy_with_query()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8467
unit: def copy_with_query_and_transform()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/dependency/python/s3_helper.py
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McCabe index: 1
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id: 8468
unit: def write_selector_file()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/perform_active_learning.py
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McCabe index: 1
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id: 8469
unit: def resource_config()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/prepare_for_training.py
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McCabe index: 1
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id: 8470
unit: def get_label_index()
file: ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/ActiveLearning/helper.py
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size: 2 LOC
McCabe index: 1
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id: 8471
unit: def to_json()
file: aws_marketplace/creating_marketplace_products/algorithms/src/training_channels.py
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McCabe index: 1
number of parameters: 1

id: 8472
unit: def get_inference_specification_dict()
file: aws_marketplace/creating_marketplace_products/algorithms/src/inference_specification.py
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McCabe index: 1
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id: 8473
unit: def get_inference_specification_json()
file: aws_marketplace/creating_marketplace_products/algorithms/src/inference_specification.py
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size: 2 LOC
McCabe index: 1
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id: 8474
unit: def endpoint_ping()
file: aws_marketplace/creating_marketplace_products/models/src/scoring_logic.py
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McCabe index: 1
number of parameters: 0

id: 8475
unit: def postprocess_handler()
file: sagemaker_model_monitor/introduction/postprocessor.py
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McCabe index: 1
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id: 8476
unit: def get_features()
file: sagemaker_model_monitor/visualization/utils.py
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McCabe index: 2
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id: 8477
unit: def on_batch_end()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/code/train.py
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McCabe index: 1
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id: 8478
unit: def _return_error()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/code/inference.py
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McCabe index: 1
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id: 8479
unit: def _int64_feature()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/generate_cifar10_tfrecords.py
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McCabe index: 1
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id: 8480
unit: def _bytes_feature()
file: sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/generate_cifar10_tfrecords.py
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McCabe index: 1
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id: 8481
unit: def ping()
file: sagemaker_batch_transform/working_with_tfrecords/tfrecord-transformer-container/app/main.py
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McCabe index: 1
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id: 8482
unit: def output_fn()
file: sagemaker_batch_transform/pytorch_mnist_batch_transform/model-script/mnist.py
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McCabe index: 1
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id: 8483
unit: def _return_error()
file: sagemaker_batch_transform/tensorflow_open-images_jpg/code/inference.py
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McCabe index: 1
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id: 8484
unit: def _return_error()
file: sagemaker_batch_transform/tensorflow_open-images_tfrecord/code/inference.py
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McCabe index: 1
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id: 8485
unit: def sizef()
file: scientific_details_of_algorithms/streaming_median/kll300.py
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McCabe index: 2
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id: 8486
unit: def __init__()
file: hyperparameter_tuning/rapids_bring_your_own/code/HPOConfig.py
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McCabe index: 1
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id: 8487
unit: def ingest_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
number of parameters: 1

id: 8488
unit: def handle_missing_data()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8489
unit: def split_dataset()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8490
unit: def fit()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8491
unit: def predict()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8492
unit: def score()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8493
unit: def save_trained_model()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8494
unit: def cleanup()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
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id: 8495
unit: def emit_final_score()
file: hyperparameter_tuning/rapids_bring_your_own/code/MLWorkflow.py
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McCabe index: 1
number of parameters: 1

id: 8496
unit: def cleanup()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleGPU.py
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McCabe index: 1
number of parameters: 2

id: 8497
unit: def cleanup()
file: hyperparameter_tuning/rapids_bring_your_own/code/workflows/MLWorkflowSingleCPU.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8498
unit: def new_job_name_from_config()
file: hyperparameter_tuning/rapids_bring_your_own/helper_functions.py
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McCabe index: 1
number of parameters: 0

id: 8499
unit: def __init__()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
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McCabe index: 1
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id: 8500
unit: def get_value()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
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McCabe index: 1
number of parameters: 1

id: 8501
unit: def get_value()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
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McCabe index: 1
number of parameters: 1

id: 8502
unit: def get_value()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/random_tuner.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8503
unit: def read_images()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8504
unit: def get_train_data()
file: hyperparameter_tuning/mxnet_gluon_cifar10_random_search/cifar10.py
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McCabe index: 1
number of parameters: 0

id: 8505
unit: def _int64_feature()
file: hyperparameter_tuning/tensorflow_mnist/utils.py
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McCabe index: 1
number of parameters: 1

id: 8506
unit: def _bytes_feature()
file: hyperparameter_tuning/tensorflow_mnist/utils.py
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McCabe index: 1
number of parameters: 1

id: 8507
unit: def train_input_fn()
file: hyperparameter_tuning/tensorflow_mnist/mnist.py
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McCabe index: 1
number of parameters: 2

id: 8508
unit: def eval_input_fn()
file: hyperparameter_tuning/tensorflow_mnist/mnist.py
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McCabe index: 1
number of parameters: 2

id: 8509
unit: def get_image_name()
file: hyperparameter_tuning/keras_bring_your_own/main.py
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McCabe index: 1
number of parameters: 2

id: 8510
unit: def load_hyperparameters()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 0

id: 8511
unit: def load_resource_config()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 0

id: 8512
unit: def load_input_data_config()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
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id: 8513
unit: def get_channel_dir()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 1

id: 8514
unit: def get_available_cpus()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 0

id: 8515
unit: def __init__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 2

id: 8516
unit: def __getitem__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
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id: 8517
unit: def __len__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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id: 8518
unit: def __iter__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
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id: 8519
unit: def __str__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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McCabe index: 1
number of parameters: 1

id: 8520
unit: def __repr__()
file: hyperparameter_tuning/keras_bring_your_own/trainer/environment.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8521
unit: def get_title()
file: sagemaker-lineage/visualizer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8522
unit: def generate_griffiths_data()
file: introduction_to_amazon_algorithms/lda_topic_modeling/generate_example_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8523
unit: def plot_lda_topics()
file: introduction_to_amazon_algorithms/lda_topic_modeling/generate_example_data.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8524
unit: def join()
file: introduction_to_amazon_algorithms/object_detection_birds/tools/birdsOnEdge.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8525
unit: def function_handler()
file: introduction_to_amazon_algorithms/object_detection_birds/tools/birdsOnEdge.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8526
unit: def generate_user_asns()
file: introduction_to_amazon_algorithms/ipinsights_login/generate_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8527
unit: def write_to_s3()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8528
unit: def reverse_vocab()
file: introduction_to_amazon_algorithms/seq2seq_translation_en-de/create_vocab_proto.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8529
unit: def _configure_distribution()
file: advanced_functionality/autogluon-tabular-containers/ag_model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8530
unit: def __init__()
file: advanced_functionality/autogluon-tabular-containers/ag_model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8531
unit: def exit_gracefully()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8532
unit: def print_json_object()
file: advanced_functionality/custom-training-containers/basic-training-container/docker/code/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8533
unit: def du()
file: advanced_functionality/autogluon-tabular/container-training/train.py
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McCabe index: 1
number of parameters: 1

id: 8534
unit: def __len__()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/train.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8535
unit: def __getitem__()
file: advanced_functionality/multi-container-endpoint/direct-invocation/pytorch/code/train.py
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McCabe index: 1
number of parameters: 2

id: 8536
unit: def _int64_feature()
file: advanced_functionality/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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McCabe index: 1
number of parameters: 1

id: 8537
unit: def _bytes_feature()
file: advanced_functionality/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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McCabe index: 1
number of parameters: 1

id: 8538
unit: def _retry_if_error()
file: advanced_functionality/multi_model_bring_your_own/container/dockerd-entrypoint.py
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McCabe index: 2
number of parameters: 1

id: 8539
unit: def _start_mms()
file: advanced_functionality/multi_model_bring_your_own/container/dockerd-entrypoint.py
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McCabe index: 2
number of parameters: 0

id: 8540
unit: def touch()
file: advanced_functionality/pipe_bring_your_own/train.py
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id: 8541
unit: def __len__()
file: advanced_functionality/multi_model_pytorch/code/train.py
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number of parameters: 1

id: 8542
unit: def __getitem__()
file: advanced_functionality/multi_model_pytorch/code/train.py
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McCabe index: 1
number of parameters: 2

id: 8543
unit: def train_input_fn()
file: advanced_functionality/tensorflow_iris_byom/iris_dnn_classifier.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8544
unit: def _get_master_host_name()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-script-mode/resources/train.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8545
unit: def _start_ssh_daemon()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-script-mode/resources/train.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8546
unit: def _get_master_host_name()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-optimized-script-mode/resources/train.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8547
unit: def _start_ssh_daemon()
file: advanced_functionality/distributed_tensorflow_mask_rcnn/container-optimized-script-mode/resources/train.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8548
unit: def postprocess_handler()
file: aws_sagemaker_studio/getting_started/postprocessor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8549
unit: def acc()
file: aws_sagemaker_studio/sagemaker_debugger/mxnet_realtime_analysis/scripts/mnist_gluon_realtime_visualize_demo.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8550
unit: def acc()
file: aws_sagemaker_studio/sagemaker_debugger/mnist_tensor_plot/scripts/mxnet_gluon_save_all_demo.py
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size: 2 LOC
McCabe index: 1
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id: 8551
unit: def _int64_feature()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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id: 8552
unit: def _bytes_feature()
file: aws_sagemaker_studio/sagemaker_studio_image_build/tensorflow_bring_your_own/utils/generate_cifar10_tfrecords.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8553
unit: def train_input_fn()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/source/keras_cifar10.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8554
unit: def eval_input_fn()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/source/keras_cifar10.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8555
unit: def validation_input_fn()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/source/keras_cifar10.py
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size: 2 LOC
McCabe index: 1
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id: 8556
unit: def _int64_feature()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/generate_cifar10_tfrecords.py
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id: 8557
unit: def _bytes_feature()
file: aws_sagemaker_studio/frameworks/keras_pipe_mode_horovod/generate_cifar10_tfrecords.py
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size: 2 LOC
McCabe index: 1
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id: 8558
unit: def mlperf_test_early_exit()
file: training/distributed_training/pytorch/data_parallel/maskrcnn/train_pytorch_smdataparallel_maskrcnn.py
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McCabe index: 1
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id: 8559
unit: def __len__()
file: training/distributed_training/pytorch/model_parallel/gpt2/data_pipeline.py
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number of parameters: 1

id: 8560
unit: def __getitem__()
file: training/distributed_training/pytorch/model_parallel/gpt2/data_pipeline.py
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id: 8561
unit: def __len__()
file: training/distributed_training/pytorch/model_parallel/gpt2/data_pipeline.py
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id: 8562
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
number of parameters: 3

id: 8563
unit: def state_dict()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
number of parameters: 4

id: 8564
unit: def state_dict_for_save_checkpoint()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8565
unit: def load_state_dict()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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id: 8566
unit: def __getstate__()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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id: 8567
unit: def __setstate__()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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id: 8568
unit: def _update_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8569
unit: def reload_model_params()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8570
unit: def _get_loss_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8571
unit: def _set_loss_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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unit: def _get_state()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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unit: def _set_state()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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id: 8574
unit: def _get_param_groups()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8575
unit: def _set_param_groups()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16.py
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McCabe index: 1
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id: 8576
unit: def has_overflow()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 8577
unit: def _has_inf_or_nan()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 8578
unit: def update_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 8579
unit: def loss_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 8580
unit: def loss_scale()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/loss_scaler.py
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McCabe index: 1
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id: 8581
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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McCabe index: 1
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id: 8582
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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McCabe index: 1
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id: 8583
unit: def network_to_half()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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McCabe index: 1
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id: 8584
unit: def backwards_debug_hook()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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McCabe index: 1
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id: 8585
unit: def get_pp_merged_fp32_from_fp16_param_groups()
file: training/distributed_training/pytorch/model_parallel/gpt2/fp16/fp16util.py
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id: 8586
unit: def gelu()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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McCabe index: 1
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id: 8587
unit: def swish()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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McCabe index: 1
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id: 8588
unit: def __repr__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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id: 8589
unit: def to_json_string()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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McCabe index: 1
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id: 8590
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/modeling.py
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McCabe index: 1
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id: 8591
unit: def __init__()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/sagemaker_smp_pretrain.py
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McCabe index: 1
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id: 8592
unit: def forward()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/sagemaker_smp_pretrain.py
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McCabe index: 1
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unit: def is_main_process()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/utils.py
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McCabe index: 1
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id: 8594
unit: def mkdir()
file: training/distributed_training/pytorch/model_parallel/bert/bert_example/utils.py
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McCabe index: 1
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id: 8595
unit: def get_inference_specification_dict()
file: use-cases/computer_vision/inference_specification.py
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McCabe index: 1
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id: 8596
unit: def get_inference_specification_json()
file: use-cases/computer_vision/inference_specification.py
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McCabe index: 1
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id: 8597
unit: def get_inference_specification_dict()
file: use-cases/retail_recommend/model_package_src/inference_specification.py
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McCabe index: 1
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id: 8598
unit: def get_inference_specification_json()
file: use-cases/retail_recommend/model_package_src/inference_specification.py
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McCabe index: 1
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id: 8599
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/io_utils.py
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McCabe index: 1
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id: 8600
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/src/vw_model.py
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McCabe index: 1
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id: 8601
unit: def safe_std()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
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McCabe index: 3
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id: 8602
unit: def get_reward()
file: reinforcement_learning/bandits_statlog_vw_customEnv/sim_app/statlog_sim_app.py
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McCabe index: 1
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id: 8603
unit: def config_schedule()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 8604
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 8605
unit: def store()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 8606
unit: def _get_s3_key()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 8607
unit: def make_output()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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id: 8608
unit: def atoi()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
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id: 8609
unit: def natural_keys()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
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id: 8610
unit: def _change_hostname()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8611
unit: def _start_ssh_daemon()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8612
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8613
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8614
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 8615
unit: def publish_latest_hosting_information()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 8616
unit: def publish_latest_training_information()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 8617
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 8618
unit: def _jsonify()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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number of parameters: 1

id: 8620
unit: def _jsonify()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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id: 8621
unit: def name_next_join_job()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8622
unit: def _formatted_table_name()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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id: 8623
unit: def _jsonify()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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id: 8624
unit: def name_next_model()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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id: 8625
unit: def _fit_first_model()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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id: 8626
unit: def update_model_training_state()
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id: 8627
unit: def update_model_evaluation_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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id: 8628
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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id: 8629
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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id: 8630
unit: def get_obs_start_end_time()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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id: 8631
unit: def add_new_training_job_info()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 8632
unit: def get_model_artifact_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 8633
unit: def update_model_as_failed()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 8634
unit: def update_eval_job_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 8635
unit: def update_eval_job_as_failed()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 8636
unit: def model_state()
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id: 8637
unit: def _init_firehose_from_config()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 8638
unit: def __init__()
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id: 8639
unit: def update_model_job_state()
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id: 8640
unit: def update_model_as_pending()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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unit: def update_model_as_failed()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 8642
unit: def update_model_eval_job_state()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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unit: def update_model_eval_as_pending()
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unit: def update_model_eval_as_failed()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 8645
unit: def update_model_record()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 8646
unit: def __init__()
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id: 8647
unit: def update_join_job_record()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 8648
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 8652
unit: def __init__()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 8653
unit: def update_experiment_record()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 8654
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 8655
unit: def reward()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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id: 8656
unit: def _train()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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id: 8657
unit: def is_initialized()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8658
unit: def get_environment_states()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8659
unit: def get_environment_ids()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8660
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8661
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8662
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/bandits_statlog_vw_customEnv/common/env_utils.py
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id: 8663
unit: def __init__()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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id: 8664
unit: def choose_actions()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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id: 8665
unit: def generate_experience_string_multiline()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/vw_agent.py
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id: 8666
unit: def __init__()
file: reinforcement_learning/bandits_recsys_movielens_testbed/src/io_utils.py
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id: 8667
unit: def default_preset_name()
file: reinforcement_learning/rl_cartpole_coach/src/evaluate-coach.py
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id: 8668
unit: def default_preset_name()
file: reinforcement_learning/rl_cartpole_coach/src/train-coach.py
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id: 8669
unit: def config_schedule()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/coach_launcher.py
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id: 8670
unit: def __init__()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/configuration_list.py
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id: 8671
unit: def store()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/configuration_list.py
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id: 8672
unit: def _get_s3_key()
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id: 8673
unit: def make_output()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/onnx_utils.py
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id: 8674
unit: def atoi()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/tf_serving_utils.py
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id: 8675
unit: def natural_keys()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/tf_serving_utils.py
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id: 8676
unit: def _change_hostname()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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id: 8677
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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id: 8679
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/mpi_launcher.py
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unit: def __init__()
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unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 8682
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 8683
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 8684
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 8685
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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unit: def _jsonify()
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id: 8687
unit: def name_next_join_job()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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id: 8688
unit: def _formatted_table_name()
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id: 8689
unit: def _jsonify()
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id: 8690
unit: def name_next_model()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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unit: def _fit_first_model()
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unit: def update_model_training_state()
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id: 8693
unit: def update_model_evaluation_state()
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id: 8694
unit: def get_input_obs_data_s3_path()
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id: 8695
unit: def get_input_reward_data_s3_path()
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id: 8696
unit: def get_obs_start_end_time()
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McCabe index: 1
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id: 8697
unit: def add_new_training_job_info()
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unit: def get_model_artifact_path()
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id: 8699
unit: def update_model_as_failed()
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id: 8700
unit: def update_eval_job_state()
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McCabe index: 1
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id: 8701
unit: def update_eval_job_as_failed()
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McCabe index: 1
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unit: def model_state()
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McCabe index: 1
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unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_cartpole_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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unit: def __init__()
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McCabe index: 1
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unit: def update_model_job_state()
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unit: def update_model_as_pending()
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McCabe index: 1
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unit: def update_model_as_failed()
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unit: def update_model_eval_job_state()
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McCabe index: 3
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unit: def update_model_eval_as_pending()
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unit: def update_model_eval_as_failed()
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unit: def update_model_record()
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unit: def __init__()
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unit: def update_join_job_record()
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unit: def update_join_job_input_obs_data_s3_path()
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unit: def update_join_job_input_reward_data_s3_path()
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unit: def update_join_job_output_joined_eval_data_s3_path()
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unit: def update_join_job_output_joined_train_data_s3_path()
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unit: def __init__()
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unit: def update_experiment_record()
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unit: def update_training_workflow_metadata_with_validation()
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unit: def get_environment_ids()
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unit: def collect_rollouts_for_single_env_with_given_episodes()
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unit: def collect_rollouts_for_single_env_with_given_steps()
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unit: def collect_rollouts_with_given_action_probs()
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unit: def register_env_creator()
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unit: def tensorflow_train()
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unit: def _test()
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unit: def learning_rate_with_decay()
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unit: def temperature_softmax()
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unit: def L2()
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unit: def projection_shortcut()
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unit: def add_module()
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unit: def get_param_from_name()
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unit: def get_tf_vars_list()
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unit: def get_global_vars_list()
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unit: def _get_memory_footprint_fake()
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unit: def _get_params_fake()
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unit: def __init__()
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unit: def _get_memory_footprint_fake()
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unit: def get_layer_count()
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unit: def get_params()
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unit: def get_memory_footprint()
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unit: def save_params()
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unit: def publish_latest_hosting_information()
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unit: def publish_latest_training_information()
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unit: def name_next_model()
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unit: def get_input_obs_data_s3_path()
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unit: def get_input_reward_data_s3_path()
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unit: def add_new_training_job_info()
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unit: def update_eval_job_state()
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unit: def update_eval_job_as_failed()
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unit: def _init_firehose_from_config()
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unit: def update_model_as_pending()
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unit: def update_model_as_failed()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 8803
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 8804
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8805
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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number of parameters: 2

id: 8806
unit: def update_model_record()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
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number of parameters: 2

id: 8807
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 2

id: 8808
unit: def update_join_job_record()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
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number of parameters: 2

id: 8809
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 0

id: 8810
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
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id: 8811
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
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number of parameters: 0

id: 8812
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 0

id: 8813
unit: def __init__()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
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number of parameters: 2

id: 8814
unit: def update_experiment_record()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
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number of parameters: 2

id: 8815
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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number of parameters: 0

id: 8816
unit: def reward()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
number of parameters: 2

id: 8817
unit: def _train()
file: reinforcement_learning/rl_network_compression_ray_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8818
unit: def is_initialized()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8819
unit: def get_environment_states()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8820
unit: def get_environment_ids()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8821
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8822
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8823
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_network_compression_ray_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8824
unit: def render()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/data_center_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8825
unit: def render()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/large_office_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8826
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/socket_builder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8827
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/socket_builder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8828
unit: def __exit__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/socket_builder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8829
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/pyEpError.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8830
unit: def default_preset_name()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/evaluate-coach.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8831
unit: def default_preset_name()
file: reinforcement_learning/rl_hvac_coach_energyplus/src/train-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8832
unit: def config_schedule()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8833
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8834
unit: def store()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8835
unit: def _get_s3_key()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8836
unit: def make_output()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8837
unit: def atoi()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8838
unit: def natural_keys()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8839
unit: def _change_hostname()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8840
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8841
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8842
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8843
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8844
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8845
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8846
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8847
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8848
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8849
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8850
unit: def name_next_join_job()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8851
unit: def _formatted_table_name()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8852
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8853
unit: def name_next_model()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8854
unit: def _fit_first_model()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8855
unit: def update_model_training_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8856
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8857
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8858
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8859
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8860
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8861
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 8862
unit: def update_model_as_failed()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 8863
unit: def update_eval_job_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8864
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8865
unit: def model_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8866
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8867
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8868
unit: def update_model_job_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8869
unit: def update_model_as_pending()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 8870
unit: def update_model_as_failed()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8871
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
number of parameters: 2

id: 8872
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8873
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 8874
unit: def update_model_record()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8875
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8876
unit: def update_join_job_record()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8877
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8878
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8879
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8880
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8881
unit: def __init__()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8882
unit: def update_experiment_record()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8883
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8884
unit: def reward()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8885
unit: def _train()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8886
unit: def is_initialized()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8887
unit: def get_environment_states()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8888
unit: def get_environment_ids()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8889
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8890
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8891
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_hvac_coach_energyplus/common/env_utils.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8892
unit: def default_preset_name()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/evaluate-coach.py
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McCabe index: 1
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id: 8893
unit: def default_preset_name()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/train-coach.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8894
unit: def step()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/portfolio_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8895
unit: def reset()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/portfolio_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8896
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/portfolio_env.py
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McCabe index: 1
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id: 8897
unit: def index_to_date()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8898
unit: def date_to_index()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/src/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8899
unit: def config_schedule()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
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id: 8900
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 8901
unit: def store()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8902
unit: def _get_s3_key()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8903
unit: def make_output()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8904
unit: def atoi()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 8905
unit: def natural_keys()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8906
unit: def _change_hostname()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8907
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8908
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8909
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8910
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8911
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8912
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8913
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8914
unit: def _jsonify()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8915
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8916
unit: def _jsonify()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8917
unit: def name_next_join_job()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8918
unit: def _formatted_table_name()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8919
unit: def _jsonify()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8920
unit: def name_next_model()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8921
unit: def _fit_first_model()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8922
unit: def update_model_training_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8923
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8924
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8925
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8926
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8927
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8928
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8929
unit: def update_model_as_failed()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8930
unit: def update_eval_job_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8931
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8932
unit: def model_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8933
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8934
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8935
unit: def update_model_job_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8936
unit: def update_model_as_pending()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8937
unit: def update_model_as_failed()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8938
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 8939
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8940
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 8941
unit: def update_model_record()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8942
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8943
unit: def update_join_job_record()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8944
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8945
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8946
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8947
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8948
unit: def __init__()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8949
unit: def update_experiment_record()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8950
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8951
unit: def reward()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8952
unit: def _train()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8953
unit: def is_initialized()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8954
unit: def get_environment_states()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8955
unit: def get_environment_ids()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8956
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8957
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8958
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_portfolio_management_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8959
unit: def create_environment()
file: reinforcement_learning/rl_cartpole_ray/src/train-rl-cartpole-ray.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8960
unit: def register_env_creator()
file: reinforcement_learning/rl_cartpole_ray/src/train-rl-cartpole-ray.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8961
unit: def config_schedule()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8962
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8963
unit: def store()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8964
unit: def _get_s3_key()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8965
unit: def make_output()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8966
unit: def atoi()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/tf_serving_utils.py
start line: 0
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8967
unit: def natural_keys()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/tf_serving_utils.py
start line: 0
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8968
unit: def _change_hostname()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8969
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8970
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8971
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8972
unit: def __init__()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/mpi_launcher.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8973
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8974
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8975
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8976
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8977
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8978
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8979
unit: def name_next_join_job()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8980
unit: def _formatted_table_name()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8981
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8982
unit: def name_next_model()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8983
unit: def _fit_first_model()
file: reinforcement_learning/rl_cartpole_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
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id: 8984
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unit: def update_model_evaluation_state()
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unit: def get_input_obs_data_s3_path()
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unit: def get_input_reward_data_s3_path()
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id: 8988
unit: def get_obs_start_end_time()
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unit: def add_new_training_job_info()
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unit: def get_model_artifact_path()
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unit: def update_model_as_failed()
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unit: def update_eval_job_state()
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unit: def update_eval_job_as_failed()
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unit: def model_state()
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unit: def __init__()
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unit: def update_model_job_state()
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unit: def update_model_as_pending()
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unit: def update_model_as_failed()
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unit: def update_model_eval_job_state()
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unit: def update_join_job_record()
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unit: def update_join_job_input_obs_data_s3_path()
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unit: def update_join_job_input_reward_data_s3_path()
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unit: def update_join_job_output_joined_eval_data_s3_path()
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unit: def update_join_job_output_joined_train_data_s3_path()
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unit: def __init__()
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id: 9011
unit: def update_experiment_record()
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id: 9012
unit: def update_training_workflow_metadata_with_validation()
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unit: def reward()
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id: 9014
unit: def _train()
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unit: def is_initialized()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9016
unit: def get_environment_states()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9017
unit: def get_environment_ids()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9018
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9019
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9020
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_cartpole_ray/common/env_utils.py
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id: 9021
unit: def config_schedule()
file: reinforcement_learning/common/sagemaker_rl/coach_launcher.py
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number of parameters: 2

id: 9022
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/configuration_list.py
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id: 9023
unit: def store()
file: reinforcement_learning/common/sagemaker_rl/configuration_list.py
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number of parameters: 3

id: 9024
unit: def _get_s3_key()
file: reinforcement_learning/common/sagemaker_rl/sage_cluster_communicator.py
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number of parameters: 2

id: 9025
unit: def make_output()
file: reinforcement_learning/common/sagemaker_rl/onnx_utils.py
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id: 9026
unit: def atoi()
file: reinforcement_learning/common/sagemaker_rl/tf_serving_utils.py
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id: 9027
unit: def natural_keys()
file: reinforcement_learning/common/sagemaker_rl/tf_serving_utils.py
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number of parameters: 1

id: 9028
unit: def _change_hostname()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 1

id: 9029
unit: def _start_ssh_daemon()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 0

id: 9030
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 1

id: 9031
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 1

id: 9032
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/mpi_launcher.py
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number of parameters: 0

id: 9033
unit: def publish_latest_hosting_information()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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number of parameters: 0

id: 9034
unit: def publish_latest_training_information()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 0

id: 9035
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 9036
unit: def _jsonify()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 9037
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 9038
unit: def _jsonify()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 1

id: 9039
unit: def name_next_join_job()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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id: 9040
unit: def _formatted_table_name()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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id: 9041
unit: def _jsonify()
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id: 9042
unit: def name_next_model()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9043
unit: def _fit_first_model()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9044
unit: def update_model_training_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9045
unit: def update_model_evaluation_state()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 1

id: 9046
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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id: 9047
unit: def get_input_reward_data_s3_path()
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id: 9048
unit: def get_obs_start_end_time()
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McCabe index: 1
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id: 9049
unit: def add_new_training_job_info()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9050
unit: def get_model_artifact_path()
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McCabe index: 1
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id: 9051
unit: def update_model_as_failed()
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McCabe index: 1
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id: 9052
unit: def update_eval_job_state()
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McCabe index: 1
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id: 9053
unit: def update_eval_job_as_failed()
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id: 9054
unit: def model_state()
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McCabe index: 1
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id: 9055
unit: def _init_firehose_from_config()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/resource_manager.py
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unit: def __init__()
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unit: def update_model_job_state()
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McCabe index: 1
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id: 9058
unit: def update_model_as_pending()
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McCabe index: 1
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unit: def update_model_as_failed()
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McCabe index: 1
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id: 9060
unit: def update_model_eval_job_state()
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McCabe index: 3
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unit: def update_model_eval_as_pending()
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McCabe index: 2
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unit: def update_model_eval_as_failed()
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McCabe index: 3
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unit: def update_model_record()
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 9065
unit: def update_join_job_record()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 9066
unit: def update_join_job_input_obs_data_s3_path()
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McCabe index: 1
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id: 9067
unit: def update_join_job_input_reward_data_s3_path()
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McCabe index: 1
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id: 9068
unit: def update_join_job_output_joined_eval_data_s3_path()
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McCabe index: 1
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id: 9069
unit: def update_join_job_output_joined_train_data_s3_path()
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McCabe index: 1
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id: 9070
unit: def __init__()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9071
unit: def update_experiment_record()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9072
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9073
unit: def reward()
file: reinforcement_learning/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 9074
unit: def _train()
file: reinforcement_learning/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 9075
unit: def is_initialized()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
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id: 9076
unit: def get_environment_states()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9077
unit: def get_environment_ids()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
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id: 9078
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
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id: 9079
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
number of parameters: 0

id: 9080
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/common/env_utils.py
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McCabe index: 1
number of parameters: 0

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unit: def index()
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id: 9082
unit: def sigterm_handler()
file: reinforcement_learning/rl_game_server_autopilot/game-env/minecraft-server-image/start.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9083
unit: def config_schedule()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
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id: 9084
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
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id: 9085
unit: def store()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
number of parameters: 3

id: 9086
unit: def _get_s3_key()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
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id: 9087
unit: def make_output()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9088
unit: def atoi()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 9089
unit: def natural_keys()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9090
unit: def _change_hostname()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9091
unit: def _start_ssh_daemon()
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size: 2 LOC
McCabe index: 1
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id: 9092
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9093
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9094
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9095
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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id: 9096
unit: def publish_latest_training_information()
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McCabe index: 1
number of parameters: 0

id: 9097
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 9098
unit: def _jsonify()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 9099
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 9100
unit: def _jsonify()
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McCabe index: 1
number of parameters: 1

id: 9101
unit: def name_next_join_job()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9102
unit: def _formatted_table_name()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 9103
unit: def _jsonify()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9104
unit: def name_next_model()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9105
unit: def _fit_first_model()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 0

id: 9106
unit: def update_model_training_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 1

id: 9107
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9108
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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McCabe index: 1
number of parameters: 1

id: 9109
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9110
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9111
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9112
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9113
unit: def update_model_as_failed()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 9114
unit: def update_eval_job_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 2

id: 9115
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 9116
unit: def model_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 9117
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
number of parameters: 0

id: 9118
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9119
unit: def update_model_job_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9120
unit: def update_model_as_pending()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9121
unit: def update_model_as_failed()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9122
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
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id: 9123
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 2

id: 9124
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
number of parameters: 2

id: 9125
unit: def update_model_record()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9126
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9127
unit: def update_join_job_record()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9128
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 0

id: 9129
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 0

id: 9130
unit: def update_join_job_output_joined_eval_data_s3_path()
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McCabe index: 1
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id: 9131
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 0

id: 9132
unit: def __init__()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9133
unit: def update_experiment_record()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9134
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9135
unit: def reward()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
number of parameters: 2

id: 9136
unit: def _train()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 9137
unit: def is_initialized()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9138
unit: def get_environment_states()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9139
unit: def get_environment_ids()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9140
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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McCabe index: 1
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id: 9141
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9142
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_game_server_autopilot/sagemaker/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9143
unit: def default_preset_name()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 9144
unit: def default_preset_name()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/src/train-coach.py
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McCabe index: 1
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id: 9145
unit: def config_schedule()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 9146
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 9147
unit: def store()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 9148
unit: def _get_s3_key()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 9149
unit: def make_output()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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id: 9150
unit: def atoi()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 9151
unit: def natural_keys()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 9152
unit: def _change_hostname()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 9153
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9154
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9155
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9156
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 0

id: 9157
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 9158
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9159
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 0

id: 9160
unit: def _jsonify()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 9161
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 9162
unit: def _jsonify()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 1

id: 9163
unit: def name_next_join_job()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 9164
unit: def _formatted_table_name()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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id: 9165
unit: def _jsonify()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 1

id: 9166
unit: def name_next_model()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 2

id: 9167
unit: def _fit_first_model()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9168
unit: def update_model_training_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9169
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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number of parameters: 1

id: 9170
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
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id: 9171
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9172
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
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id: 9173
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9174
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9175
unit: def update_model_as_failed()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9176
unit: def update_eval_job_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9177
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9178
unit: def model_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9179
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 9180
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9181
unit: def update_model_job_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9182
unit: def update_model_as_pending()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9183
unit: def update_model_as_failed()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9184
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9185
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9186
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9187
unit: def update_model_record()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9188
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9189
unit: def update_join_job_record()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9190
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9191
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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number of parameters: 0

id: 9192
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9193
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9194
unit: def __init__()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9195
unit: def update_experiment_record()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9196
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9197
unit: def reward()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
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id: 9198
unit: def _train()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9199
unit: def is_initialized()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9200
unit: def get_environment_states()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9201
unit: def get_environment_ids()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9202
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9203
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9204
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_mountain_car_coach_gymEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9205
unit: def manhattan_dist()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_baseline_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9206
unit: def default_preset_name()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9207
unit: def default_preset_name()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/train-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9208
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9209
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/TSP_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9210
unit: def config_schedule()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9211
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9212
unit: def store()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9213
unit: def _get_s3_key()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9214
unit: def make_output()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9215
unit: def atoi()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9216
unit: def natural_keys()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9217
unit: def _change_hostname()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9218
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9219
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9220
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9221
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 0

id: 9222
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
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id: 9223
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9224
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9225
unit: def _jsonify()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9226
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 9227
unit: def _jsonify()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9228
unit: def name_next_join_job()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9229
unit: def _formatted_table_name()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9230
unit: def _jsonify()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9231
unit: def name_next_model()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9232
unit: def _fit_first_model()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 0

id: 9233
unit: def update_model_training_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9234
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9235
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9236
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9237
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9238
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9239
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9240
unit: def update_model_as_failed()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9241
unit: def update_eval_job_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9242
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9243
unit: def model_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9244
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9245
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9246
unit: def update_model_job_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9247
unit: def update_model_as_pending()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9248
unit: def update_model_as_failed()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9249
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9250
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9251
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9252
unit: def update_model_record()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9253
unit: def __init__()
file: reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

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unit: def update_join_job_record()
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unit: def update_join_job_input_obs_data_s3_path()
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unit: def update_join_job_input_reward_data_s3_path()
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unit: def update_join_job_output_joined_eval_data_s3_path()
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unit: def update_join_job_output_joined_train_data_s3_path()
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unit: def __init__()
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unit: def update_experiment_record()
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unit: def update_training_workflow_metadata_with_validation()
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unit: def reward()
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unit: def _train()
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unit: def is_initialized()
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unit: def get_environment_states()
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unit: def get_environment_ids()
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unit: def collect_rollouts_for_single_env_with_given_episodes()
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unit: def collect_rollouts_for_single_env_with_given_steps()
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unit: def collect_rollouts_with_given_action_probs()
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unit: def default_preset_name()
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unit: def default_preset_name()
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unit: def config_schedule()
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unit: def __init__()
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unit: def store()
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unit: def _get_s3_key()
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unit: def make_output()
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unit: def atoi()
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unit: def natural_keys()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/tf_serving_utils.py
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unit: def _change_hostname()
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unit: def _start_ssh_daemon()
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unit: def _wait_for_mpi_to_start_running()
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unit: def _wait_until_mpi_stops_running()
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unit: def __init__()
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unit: def publish_latest_hosting_information()
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unit: def publish_latest_training_information()
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unit: def publish_newly_trained_model_eval_information()
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unit: def _jsonify()
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unit: def get_cloudwatch_dashboard_details()
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unit: def _jsonify()
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unit: def name_next_join_job()
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unit: def _formatted_table_name()
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unit: def _jsonify()
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unit: def name_next_model()
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unit: def _fit_first_model()
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unit: def update_model_training_state()
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unit: def update_model_evaluation_state()
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unit: def get_input_obs_data_s3_path()
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unit: def get_input_reward_data_s3_path()
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unit: def get_obs_start_end_time()
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unit: def add_new_training_job_info()
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unit: def get_model_artifact_path()
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unit: def update_model_as_failed()
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unit: def update_eval_job_state()
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unit: def update_eval_job_as_failed()
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unit: def model_state()
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unit: def _init_firehose_from_config()
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unit: def __init__()
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unit: def update_model_job_state()
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unit: def update_model_as_pending()
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unit: def update_model_as_failed()
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unit: def update_model_eval_job_state()
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unit: def update_model_eval_as_pending()
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unit: def update_model_eval_as_failed()
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unit: def update_model_record()
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unit: def __init__()
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unit: def update_join_job_record()
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unit: def update_join_job_input_obs_data_s3_path()
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unit: def update_join_job_input_reward_data_s3_path()
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unit: def update_join_job_output_joined_eval_data_s3_path()
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unit: def update_join_job_output_joined_train_data_s3_path()
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unit: def __init__()
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unit: def update_experiment_record()
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unit: def update_training_workflow_metadata_with_validation()
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unit: def reward()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/sagemaker_rl/stable_baselines_launcher.py
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unit: def _train()
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unit: def is_initialized()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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unit: def get_environment_states()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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unit: def get_environment_ids()
file: reinforcement_learning/rl_managed_spot_cartpole_coach/common/env_utils.py
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unit: def collect_rollouts_for_single_env_with_given_episodes()
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unit: def collect_rollouts_for_single_env_with_given_steps()
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unit: def collect_rollouts_with_given_action_probs()
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unit: def default_preset_name()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/src/train-coach.py
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unit: def config_schedule()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def __init__()
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unit: def store()
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unit: def _get_s3_key()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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unit: def make_output()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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unit: def _change_hostname()
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unit: def _start_ssh_daemon()
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unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_tic_tac_toe_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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unit: def _wait_until_mpi_stops_running()
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unit: def __init__()
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unit: def reward()
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unit: def _train()
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unit: def load_relative()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/data.py
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id: 9346
unit: def default_preset_name()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/evaluate-coach.py
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unit: def default_preset_name()
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unit: def render()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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id: 9349
unit: def close()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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id: 9350
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/src/trading_env.py
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unit: def config_schedule()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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unit: def __init__()
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unit: def store()
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id: 9354
unit: def _get_s3_key()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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unit: def make_output()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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unit: def atoi()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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id: 9357
unit: def natural_keys()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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id: 9358
unit: def _change_hostname()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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unit: def _start_ssh_daemon()
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id: 9360
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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id: 9362
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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id: 9363
unit: def publish_latest_hosting_information()
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id: 9364
unit: def publish_latest_training_information()
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id: 9365
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 9366
unit: def _jsonify()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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number of parameters: 1

id: 9367
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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id: 9368
unit: def _jsonify()
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McCabe index: 1
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id: 9369
unit: def name_next_join_job()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 9370
unit: def _formatted_table_name()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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id: 9371
unit: def _jsonify()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 1

id: 9372
unit: def name_next_model()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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id: 9373
unit: def _fit_first_model()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9374
unit: def update_model_training_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9375
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
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id: 9376
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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id: 9377
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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McCabe index: 1
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id: 9378
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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McCabe index: 1
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id: 9379
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9380
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9381
unit: def update_model_as_failed()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9382
unit: def update_eval_job_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 2

id: 9383
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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number of parameters: 1

id: 9384
unit: def model_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9385
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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id: 9386
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9387
unit: def update_model_job_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 9388
unit: def update_model_as_pending()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 9389
unit: def update_model_as_failed()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 9390
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
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id: 9391
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9392
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
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id: 9393
unit: def update_model_record()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9394
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 9395
unit: def update_join_job_record()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 9396
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9397
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9398
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 9399
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
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id: 9400
unit: def __init__()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9401
unit: def update_experiment_record()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9402
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 9403
unit: def reward()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 9404
unit: def _train()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
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id: 9405
unit: def is_initialized()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9406
unit: def get_environment_states()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9407
unit: def get_environment_ids()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9408
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9409
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9410
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_stock_trading_coach_customEnv/common/env_utils.py
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McCabe index: 1
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id: 9411
unit: def render()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/eplus/envs/medium_office_env.py
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McCabe index: 1
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id: 9412
unit: def register_algorithms_and_preprocessors()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/hvac_ray_launcher.py
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McCabe index: 1
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id: 9413
unit: def config_schedule()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 9414
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 9415
unit: def store()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
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id: 9416
unit: def _get_s3_key()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
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id: 9417
unit: def make_output()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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id: 9418
unit: def atoi()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
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id: 9419
unit: def natural_keys()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
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id: 9420
unit: def _change_hostname()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9421
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9422
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9423
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9424
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
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id: 9425
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
number of parameters: 0

id: 9426
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 9427
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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McCabe index: 1
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id: 9428
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 9429
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 9430
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 1

id: 9431
unit: def name_next_join_job()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
number of parameters: 2

id: 9432
unit: def _formatted_table_name()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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McCabe index: 1
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id: 9433
unit: def _jsonify()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9434
unit: def name_next_model()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9435
unit: def _fit_first_model()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9436
unit: def update_model_training_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9437
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9438
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9439
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9440
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9441
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9442
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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number of parameters: 1

id: 9443
unit: def update_model_as_failed()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 9444
unit: def update_eval_job_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9445
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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number of parameters: 1

id: 9446
unit: def model_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
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number of parameters: 1

id: 9447
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9448
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9449
unit: def update_model_job_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9450
unit: def update_model_as_pending()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9451
unit: def update_model_as_failed()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9452
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9453
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9454
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9455
unit: def update_model_record()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9456
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9457
unit: def update_join_job_record()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9458
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9459
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9460
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9461
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9462
unit: def __init__()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9463
unit: def update_experiment_record()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9464
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9465
unit: def reward()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9466
unit: def _train()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9467
unit: def is_initialized()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9468
unit: def get_environment_states()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9469
unit: def get_environment_ids()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9470
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9471
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9472
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9473
unit: def on_episode_step()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/custom/callbacks.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9474
unit: def on_sample_end()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/custom/callbacks.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9475
unit: def on_train_result()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/custom/callbacks.py
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size: 2 LOC
McCabe index: 2
number of parameters: 4

id: 9476
unit: def register_env_creator()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/train-sagemaker-hvac.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9477
unit: def register_algorithms_and_preprocessors()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/train-sagemaker-hvac.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9478
unit: def outfile()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9479
unit: def begin_rollout()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9480
unit: def default_policy_agent_mapping()
file: reinforcement_learning/rl_hvac_ray_energyplus/source/rollout.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9481
unit: def render()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/news_vendor_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9482
unit: def register_actor_mask_model()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9483
unit: def value_function()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/modelv2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9484
unit: def register_actor_mask_model()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/modelv2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9485
unit: def render()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/src/bin_packing_env.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9486
unit: def config_schedule()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9487
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9488
unit: def store()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9489
unit: def _get_s3_key()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9490
unit: def make_output()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9491
unit: def atoi()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9492
unit: def natural_keys()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9493
unit: def _change_hostname()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9494
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9495
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9496
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9497
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9498
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9499
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9500
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9501
unit: def _jsonify()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9502
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
number of parameters: 1

id: 9503
unit: def _jsonify()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9504
unit: def name_next_join_job()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9505
unit: def _formatted_table_name()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9506
unit: def _jsonify()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9507
unit: def name_next_model()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9508
unit: def _fit_first_model()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9509
unit: def update_model_training_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9510
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9511
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9512
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9513
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9514
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9515
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9516
unit: def update_model_as_failed()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9517
unit: def update_eval_job_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9518
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9519
unit: def model_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9520
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9521
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9522
unit: def update_model_job_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9523
unit: def update_model_as_pending()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9524
unit: def update_model_as_failed()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9525
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9526
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9527
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9528
unit: def update_model_record()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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id: 9529
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9530
unit: def update_join_job_record()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9531
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9532
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9533
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9534
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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id: 9535
unit: def __init__()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 9536
unit: def update_experiment_record()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 9537
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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id: 9538
unit: def reward()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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id: 9539
unit: def _train()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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id: 9540
unit: def is_initialized()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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number of parameters: 1

id: 9541
unit: def get_environment_states()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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number of parameters: 1

id: 9542
unit: def get_environment_ids()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9543
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 2 LOC
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id: 9544
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 2 LOC
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id: 9545
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_resource_allocation_ray_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9546
unit: def register_env_creator()
file: reinforcement_learning/rl_roboschool_ray/src/train-reacher.py
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McCabe index: 1
number of parameters: 1

id: 9547
unit: def config_schedule()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/coach_launcher.py
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number of parameters: 2

id: 9548
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
number of parameters: 1

id: 9549
unit: def store()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9550
unit: def _get_s3_key()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/sage_cluster_communicator.py
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McCabe index: 1
number of parameters: 2

id: 9551
unit: def make_output()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
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id: 9552
unit: def atoi()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
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id: 9553
unit: def natural_keys()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/tf_serving_utils.py
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id: 9554
unit: def _change_hostname()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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id: 9555
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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id: 9556
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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id: 9557
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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id: 9558
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/mpi_launcher.py
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id: 9559
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
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id: 9560
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
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id: 9561
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
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number of parameters: 0

id: 9562
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9563
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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McCabe index: 1
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id: 9564
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9565
unit: def name_next_join_job()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
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id: 9566
unit: def _formatted_table_name()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9567
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9568
unit: def name_next_model()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
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id: 9569
unit: def _fit_first_model()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
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id: 9570
unit: def update_model_training_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9571
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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McCabe index: 1
number of parameters: 1

id: 9572
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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McCabe index: 1
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id: 9573
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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McCabe index: 1
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id: 9574
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
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id: 9575
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9576
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9577
unit: def update_model_as_failed()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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id: 9578
unit: def update_eval_job_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9579
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
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id: 9580
unit: def model_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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McCabe index: 1
number of parameters: 1

id: 9581
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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McCabe index: 1
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id: 9582
unit: def __init__()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9583
unit: def update_model_job_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9584
unit: def update_model_as_pending()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 9585
unit: def update_model_as_failed()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9586
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
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id: 9587
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
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id: 9588
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
number of parameters: 2

id: 9589
unit: def update_model_record()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 1
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id: 9590
unit: def __init__()
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McCabe index: 1
number of parameters: 2

id: 9591
unit: def update_join_job_record()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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McCabe index: 1
number of parameters: 2

id: 9592
unit: def update_join_job_input_obs_data_s3_path()
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McCabe index: 1
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id: 9593
unit: def update_join_job_input_reward_data_s3_path()
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id: 9594
unit: def update_join_job_output_joined_eval_data_s3_path()
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McCabe index: 1
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id: 9595
unit: def update_join_job_output_joined_train_data_s3_path()
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McCabe index: 1
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id: 9596
unit: def __init__()
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McCabe index: 1
number of parameters: 2

id: 9597
unit: def update_experiment_record()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9598
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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McCabe index: 1
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id: 9599
unit: def reward()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
number of parameters: 2

id: 9600
unit: def _train()
file: reinforcement_learning/rl_roboschool_ray/common/sagemaker_rl/stable_baselines_launcher.py
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McCabe index: 1
number of parameters: 1

id: 9601
unit: def is_initialized()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9602
unit: def get_environment_states()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9603
unit: def get_environment_ids()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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McCabe index: 1
number of parameters: 1

id: 9604
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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McCabe index: 1
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id: 9605
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9606
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_roboschool_ray/common/env_utils.py
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McCabe index: 1
number of parameters: 0

id: 9607
unit: def reset_game()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9608
unit: def __draw_game()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
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McCabe index: 1
number of parameters: 0

id: 9609
unit: def __rescale()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_view_2D.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9610
unit: def get_knapsack_solution_medium()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_baseline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9611
unit: def test_sol_valid_medium()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_baseline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9612
unit: def get_knapsack_solution_hard()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_baseline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9613
unit: def get_knapsack_benchmark_sol_hard_greedy_heuristic()
file: reinforcement_learning/rl_knapsack_coach_custom/src/knapsack_baseline.py
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size: 2 LOC
McCabe index: 1
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id: 9614
unit: def default_preset_name()
file: reinforcement_learning/rl_knapsack_coach_custom/src/evaluate-coach.py
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McCabe index: 1
number of parameters: 1

id: 9615
unit: def default_preset_name()
file: reinforcement_learning/rl_knapsack_coach_custom/src/train-coach.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9616
unit: def config_schedule()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9617
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/configuration_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9618
unit: def store()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/configuration_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9619
unit: def _get_s3_key()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9620
unit: def make_output()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/onnx_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9621
unit: def atoi()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9622
unit: def natural_keys()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9623
unit: def _change_hostname()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9624
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9625
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9626
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9627
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9628
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9629
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9630
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9631
unit: def _jsonify()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9632
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9633
unit: def _jsonify()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9634
unit: def name_next_join_job()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9635
unit: def _formatted_table_name()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9636
unit: def _jsonify()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9637
unit: def name_next_model()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9638
unit: def _fit_first_model()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9639
unit: def update_model_training_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9640
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9641
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9642
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9643
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9644
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9645
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9646
unit: def update_model_as_failed()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9647
unit: def update_eval_job_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9648
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9649
unit: def model_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9650
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9651
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9652
unit: def update_model_job_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9653
unit: def update_model_as_pending()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9654
unit: def update_model_as_failed()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9655
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9656
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9657
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9658
unit: def update_model_record()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9659
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9660
unit: def update_join_job_record()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9661
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9662
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9663
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9664
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9665
unit: def __init__()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9666
unit: def update_experiment_record()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9667
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9668
unit: def reward()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9669
unit: def _train()
file: reinforcement_learning/rl_knapsack_coach_custom/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9670
unit: def is_initialized()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9671
unit: def get_environment_states()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9672
unit: def get_environment_ids()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9673
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9674
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9675
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_knapsack_coach_custom/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9676
unit: def default_preset_name()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/evaluate-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9677
unit: def default_preset_name()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/src/train-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9678
unit: def config_schedule()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9679
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9680
unit: def store()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9681
unit: def _get_s3_key()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9682
unit: def make_output()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9683
unit: def atoi()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9684
unit: def natural_keys()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9685
unit: def _change_hostname()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9686
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9687
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9688
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9689
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9690
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9691
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9692
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9693
unit: def _jsonify()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9694
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9695
unit: def _jsonify()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9696
unit: def name_next_join_job()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9697
unit: def _formatted_table_name()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9698
unit: def _jsonify()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9699
unit: def name_next_model()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9700
unit: def _fit_first_model()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9701
unit: def update_model_training_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9702
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9703
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9704
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9705
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9706
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9707
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9708
unit: def update_model_as_failed()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9709
unit: def update_eval_job_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9710
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9711
unit: def model_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9712
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
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id: 9713
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9714
unit: def update_model_job_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9715
unit: def update_model_as_pending()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9716
unit: def update_model_as_failed()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9717
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 3
number of parameters: 2

id: 9718
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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McCabe index: 2
number of parameters: 2

id: 9719
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9720
unit: def update_model_record()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9721
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9722
unit: def update_join_job_record()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9723
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9724
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9725
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9726
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9727
unit: def __init__()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9728
unit: def update_experiment_record()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9729
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9730
unit: def reward()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9731
unit: def _train()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9732
unit: def is_initialized()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9733
unit: def get_environment_states()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9734
unit: def get_environment_ids()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9735
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9736
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9737
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_predictive_autoscaling_coach_customEnv/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9738
unit: def reset()
file: reinforcement_learning/rl_unity_ray/src/evaluate-unity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9739
unit: def step()
file: reinforcement_learning/rl_unity_ray/src/evaluate-unity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9740
unit: def reset()
file: reinforcement_learning/rl_unity_ray/src/train-unity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9741
unit: def step()
file: reinforcement_learning/rl_unity_ray/src/train-unity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9742
unit: def register_env_creator()
file: reinforcement_learning/rl_unity_ray/src/train-unity.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9743
unit: def config_schedule()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/coach_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9744
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9745
unit: def store()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/configuration_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9746
unit: def _get_s3_key()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9747
unit: def make_output()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/onnx_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9748
unit: def atoi()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9749
unit: def natural_keys()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/tf_serving_utils.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9750
unit: def _change_hostname()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9751
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9752
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9753
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9754
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9755
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9756
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9757
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9758
unit: def _jsonify()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9759
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9760
unit: def _jsonify()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9761
unit: def name_next_join_job()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9762
unit: def _formatted_table_name()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9763
unit: def _jsonify()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9764
unit: def name_next_model()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9765
unit: def _fit_first_model()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
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id: 9766
unit: def update_model_training_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9767
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9768
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9769
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9770
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9771
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9772
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9773
unit: def update_model_as_failed()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9774
unit: def update_eval_job_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9775
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9776
unit: def model_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9777
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9778
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9779
unit: def update_model_job_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9780
unit: def update_model_as_pending()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9781
unit: def update_model_as_failed()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9782
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9783
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9784
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9785
unit: def update_model_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9786
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9787
unit: def update_join_job_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9788
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9789
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9790
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9791
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9792
unit: def __init__()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9793
unit: def update_experiment_record()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9794
unit: def update_training_workflow_metadata_with_validation()
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id: 9795
unit: def reward()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
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id: 9796
unit: def _train()
file: reinforcement_learning/rl_unity_ray/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9797
unit: def is_initialized()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9798
unit: def get_environment_states()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9799
unit: def get_environment_ids()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9800
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
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id: 9801
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9802
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_unity_ray/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9803
unit: def default_preset_name()
file: reinforcement_learning/rl_cartpole_batch_coach/src/evaluate-coach.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9804
unit: def default_preset_name()
file: reinforcement_learning/rl_cartpole_batch_coach/src/train-coach.py
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McCabe index: 1
number of parameters: 1

id: 9805
unit: def config_schedule()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/coach_launcher.py
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McCabe index: 1
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id: 9806
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/configuration_list.py
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id: 9807
unit: def store()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/configuration_list.py
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McCabe index: 1
number of parameters: 3

id: 9808
unit: def _get_s3_key()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/sage_cluster_communicator.py
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size: 2 LOC
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id: 9809
unit: def make_output()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/onnx_utils.py
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McCabe index: 1
number of parameters: 2

id: 9810
unit: def atoi()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 9811
unit: def natural_keys()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/tf_serving_utils.py
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McCabe index: 2
number of parameters: 1

id: 9812
unit: def _change_hostname()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 1

id: 9813
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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McCabe index: 1
number of parameters: 0

id: 9814
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9815
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9816
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/mpi_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9817
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9818
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9819
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9820
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9821
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9822
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9823
unit: def name_next_join_job()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9824
unit: def _formatted_table_name()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9825
unit: def _jsonify()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9826
unit: def name_next_model()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9827
unit: def _fit_first_model()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9828
unit: def update_model_training_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9829
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9830
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9831
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9832
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9833
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9834
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9835
unit: def update_model_as_failed()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9836
unit: def update_eval_job_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9837
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9838
unit: def model_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9839
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/resource_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9840
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9841
unit: def update_model_job_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9842
unit: def update_model_as_pending()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9843
unit: def update_model_as_failed()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9844
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9845
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9846
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 9847
unit: def update_model_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9848
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9849
unit: def update_join_job_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9850
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9851
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9852
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9853
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9854
unit: def __init__()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9855
unit: def update_experiment_record()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9856
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9857
unit: def reward()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9858
unit: def _train()
file: reinforcement_learning/rl_cartpole_batch_coach/common/sagemaker_rl/stable_baselines_launcher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9859
unit: def is_initialized()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9860
unit: def get_environment_states()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9861
unit: def get_environment_ids()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9862
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9863
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9864
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_cartpole_batch_coach/common/env_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9865
unit: def ping()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9866
unit: def valid()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/response_handlers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9867
unit: def ping()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/lib/model_validator/validator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9868
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9869
unit: def reset_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9870
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9871
unit: def update_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9872
unit: def judge_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/agent_ctrl_interface.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9873
unit: def make_default_param()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/constants.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9874
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9875
unit: def model_metadata()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9876
unit: def reset_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9877
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9878
unit: def update_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9879
unit: def judge_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9880
unit: def finish_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/training_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9881
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9882
unit: def model_metadata()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9883
unit: def simapp_version()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9884
unit: def update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/rollout_agent_ctrl.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9885
unit: def get_normalized_progress()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9886
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9887
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9888
unit: def finish_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/obstacles_agent_ctrl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9889
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9890
unit: def finish_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agent_ctrl/bot_cars_agent_ctrl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9891
unit: def get_forward_vec()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9892
unit: def get_up_vec()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9893
unit: def get_right_vec()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9894
unit: def is_visible()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/frustum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9895
unit: def name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9896
unit: def model_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9897
unit: def namespace()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9898
unit: def _get_sdf_string()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9899
unit: def _reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9900
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9901
unit: def _get_initial_camera_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9902
unit: def detach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/abs_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9903
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/cameras/handlers/top_camera.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9904
unit: def current_racer()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9905
unit: def is_event_end()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/virtual_event/virtual_event_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9906
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9907
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9908
unit: def action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9909
unit: def state_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9910
unit: def state_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9911
unit: def goal_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9912
unit: def goal_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9913
unit: def last_env_response()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9914
unit: def last_env_response()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9915
unit: def handle_episode_ended()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9916
unit: def get_goal()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9917
unit: def set_goal()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9918
unit: def _take_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9919
unit: def _update_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9920
unit: def _restart_environment_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9921
unit: def _notify_phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9922
unit: def get_target_success_rate()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9923
unit: def close()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_environment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9924
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/agents/sac_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9925
unit: def train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/agents/sac_agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9926
unit: def handle_episode_ended()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9927
unit: def get_random_action_with_info()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9928
unit: def setup_logger()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9929
unit: def set_session()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9930
unit: def train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 9931
unit: def phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9932
unit: def acting_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9933
unit: def save_checkpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9934
unit: def restore_checkpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9935
unit: def post_training_commands()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9936
unit: def sync()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9937
unit: def should_train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_level_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9938
unit: def _create_graph()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9939
unit: def _create_session_mx()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9940
unit: def phase()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9941
unit: def current_step_counter()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9942
unit: def set_session()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9943
unit: def sync()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9944
unit: def should_train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9945
unit: def emulate_act_on_trainer()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9946
unit: def get_current_episodes_count()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/multi_agent_graph_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9947
unit: def get_action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/multi_agent_coach/action_space_configs.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9948
unit: def deploy()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9949
unit: def get_info()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9950
unit: def undeploy()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/s3_boto_data_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9951
unit: def training_worker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/training_worker.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9952
unit: def update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9953
unit: def pause_physics_service()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9954
unit: def unpause_physics_service()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9955
unit: def pause_physics()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9956
unit: def unpause_physics()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_utils/model_updater.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9957
unit: def network_settings()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9958
unit: def ctrl()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9959
unit: def get_action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9960
unit: def finish_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9961
unit: def send_action()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9962
unit: def update_agent()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/agent.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9963
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9964
unit: def register()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9965
unit: def unregister()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9966
unit: def notify()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/agents/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 9967
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9968
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9969
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9970
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9971
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9972
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9973
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9974
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9975
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9976
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9977
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9978
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_training.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9979
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9980
unit: def add_sensor()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9981
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/composite_sensor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9982
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9983
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9984
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9985
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9986
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensors_rollout.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9987
unit: def get_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensor_interface.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9988
unit: def get_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensor_interface.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9989
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensor_interface.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9990
unit: def get_input_embedders()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/sensors/sensor_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9991
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/environments/deepracer_racetrack_env.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9992
unit: def agents_info_map()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/environments/deepracer_racetrack_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9993
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/abs_tracker.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9994
unit: def set_visual_color()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/gazebo_tracker/trackers/set_visual_color_tracker.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9995
unit: def get_logger()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9996
unit: def error_code()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9997
unit: def error_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9998
unit: def error_msg()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/deepracer_exceptions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9999
unit: def simapp_exit_gracefully()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/log_handler/exception_handler.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10000
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/reset_rules_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10001
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10002
unit: def name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10003
unit: def done()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10004
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/reset/abstract_reset_rule.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10005
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/filters/observation/observation_binary_filter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10006
unit: def filter()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/filters/observation/observation_binary_filter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10007
unit: def get_filtered_observation_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/filters/observation/observation_binary_filter.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10008
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10009
unit: def num_transitions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10010
unit: def num_transitions_in_complete_episodes()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10011
unit: def get_last_training_set_episode_id()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10012
unit: def get_all_complete_episodes_transitions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10013
unit: def get_all_complete_episodes()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10014
unit: def get_all_complete_episodes_from_to()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10015
unit: def _update_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10016
unit: def remove_first_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10017
unit: def remove_last_episode()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10018
unit: def freeze()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10019
unit: def assert_not_frozen()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/memories/deepracer_memory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10020
unit: def __getattr__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10021
unit: def interpolate_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10022
unit: def reverse_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10023
unit: def is_ccw()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10024
unit: def reverse_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10025
unit: def park_positions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10026
unit: def park_positions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10027
unit: def pop_park_position()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10028
unit: def park_location()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10029
unit: def get_object_pose()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10030
unit: def find_prev_next_waypoints()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/track_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10031
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/lane_change_spline.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10032
unit: def lane()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/abstract_spline.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10033
unit: def _build_spline()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/spline/abstract_spline.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10034
unit: def get_start_positions()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/track_geom/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10035
unit: def get_nowait()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10036
unit: def __enter__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10037
unit: def __exit__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 10038
unit: def enable_profiling()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10039
unit: def enable_profiling()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10040
unit: def path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/exploration_policies/deepracer_categorical.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10041
unit: def get_control_param()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/exploration_policies/deepracer_categorical.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10042
unit: def signal_robomaker_markov_package_ready()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rollout_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10043
unit: def handle_robomaker_markov_package_ready()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/rollout_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10044
unit: def validate_inputs()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/architecture/constants.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 10045
unit: def has_activation_function()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/architecture/constants.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10046
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/architecture/contrib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10047
unit: def __str__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/architecture/contrib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10048
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/fsm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10049
unit: def current_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/fsm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10050
unit: def is_in_terminal()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/fsm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10051
unit: def __repr__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/abs_fsm_state.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10052
unit: def __str__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/abs_fsm_state.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10053
unit: def _execute()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/state_machine/abs_fsm_state.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10054
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10055
unit: def attach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10056
unit: def detach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10057
unit: def on_attach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10058
unit: def on_detach()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10059
unit: def _lazy_init()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10060
unit: def _update()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/visual_effects/abs_effect.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10061
unit: def add()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/randomizer_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10062
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/abs_randomizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10063
unit: def randomize()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/abs_randomizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10064
unit: def _randomize()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/domain_randomizations/abs_randomizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10065
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/s3_metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10066
unit: def update_tracker()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/s3_metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10067
unit: def upload_episode_metrics()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/metrics_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10068
unit: def upload_step_metrics()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/metrics_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10069
unit: def reset()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/metrics_interface.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10070
unit: def job_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10071
unit: def s3_bucket()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10072
unit: def s3_prefix()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10073
unit: def aws_region()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10074
unit: def local_file()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/metrics/iteration_data.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10075
unit: def get_endpoint_helper()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10076
unit: def get_endpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10077
unit: def get_rollout_steps()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10078
unit: def get_total_episodes_in_rollout()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10079
unit: def memory_purge()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10080
unit: def get_endpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/deepracer_memory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10081
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/metrics.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10082
unit: def local_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10083
unit: def local_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/model_metadata.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10084
unit: def local_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_sync_file.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10085
unit: def list()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_sync_file.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10086
unit: def download()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_sync_file.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10087
unit: def delete()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_sync_file.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10088
unit: def s3_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_checkpoint.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10089
unit: def local_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_checkpoint.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10090
unit: def coach_checkpoint_state_file()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_checkpoint.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10091
unit: def get()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/rl_coach_checkpoint.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10092
unit: def copy_best_frozen_graph_to_sm_output_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/tensorflow_model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10093
unit: def get_deepracer_best_checkpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/deepracer_checkpoint_json.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10094
unit: def get_deepracer_last_checkpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint_files/deepracer_checkpoint_json.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10095
unit: def list()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/virtual_event_best_sector_time.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10096
unit: def local_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/yaml_file.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10097
unit: def agent_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10098
unit: def s3_dir()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10099
unit: def rl_coach_checkpoint()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10100
unit: def deepracer_checkpoint_json()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10101
unit: def syncfile_finished()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10102
unit: def syncfile_lock()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10103
unit: def syncfile_ready()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10104
unit: def tensorflow_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/files/checkpoint.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10105
unit: def has_action_space()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/constants.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10106
unit: def has_training_algorithm()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/boto/s3/constants.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10107
unit: def config_schedule()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/coach_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10108
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/configuration_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10109
unit: def store()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/configuration_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10110
unit: def _get_s3_key()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/sage_cluster_communicator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10111
unit: def make_output()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/onnx_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10112
unit: def atoi()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/tf_serving_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10113
unit: def natural_keys()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10114
unit: def _change_hostname()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10115
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10116
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10117
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10118
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/mpi_launcher.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10119
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10120
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10121
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10122
unit: def _jsonify()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10123
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10124
unit: def _jsonify()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10125
unit: def name_next_join_job()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10126
unit: def _formatted_table_name()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10127
unit: def _jsonify()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10128
unit: def name_next_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10129
unit: def _fit_first_model()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10130
unit: def update_model_training_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10131
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10132
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10133
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10134
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10135
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10136
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10137
unit: def update_model_as_failed()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10138
unit: def update_eval_job_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10139
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10140
unit: def model_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10141
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/resource_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10142
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10143
unit: def update_model_job_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10144
unit: def update_model_as_pending()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10145
unit: def update_model_as_failed()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10146
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 10147
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 10148
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 10149
unit: def update_model_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10150
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10151
unit: def update_join_job_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10152
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10153
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10154
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10155
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10156
unit: def __init__()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10157
unit: def update_experiment_record()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10158
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10159
unit: def reward()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10160
unit: def _train()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10161
unit: def is_initialized()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10162
unit: def get_environment_states()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10163
unit: def get_environment_ids()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10164
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10165
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10166
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10167
unit: def config_schedule()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/coach_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10168
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/configuration_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10169
unit: def store()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/configuration_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10170
unit: def _get_s3_key()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/sage_cluster_communicator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10171
unit: def make_output()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/onnx_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10172
unit: def atoi()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10173
unit: def natural_keys()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/tf_serving_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10174
unit: def _change_hostname()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10175
unit: def _start_ssh_daemon()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10176
unit: def _wait_for_mpi_to_start_running()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10177
unit: def _wait_until_mpi_stops_running()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10178
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/mpi_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10179
unit: def publish_latest_hosting_information()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10180
unit: def publish_latest_training_information()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10181
unit: def publish_newly_trained_model_eval_information()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/utils/cloudwatch_logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10182
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10183
unit: def get_cloudwatch_dashboard_details()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/experiment_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10184
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10185
unit: def name_next_join_job()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10186
unit: def _formatted_table_name()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/join_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10187
unit: def _jsonify()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10188
unit: def name_next_model()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10189
unit: def _fit_first_model()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10190
unit: def update_model_training_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10191
unit: def update_model_evaluation_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/manager/model_manager.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10192
unit: def get_input_obs_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10193
unit: def get_input_reward_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10194
unit: def get_obs_start_end_time()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/join_job_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10195
unit: def add_new_training_job_info()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10196
unit: def get_model_artifact_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10197
unit: def update_model_as_failed()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10198
unit: def update_eval_job_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10199
unit: def update_eval_job_as_failed()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10200
unit: def model_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/workflow/datatypes/model_record.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10201
unit: def _init_firehose_from_config()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/resource_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10202
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10203
unit: def update_model_job_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10204
unit: def update_model_as_pending()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10205
unit: def update_model_as_failed()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10206
unit: def update_model_eval_job_state()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 10207
unit: def update_model_eval_as_pending()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 10208
unit: def update_model_eval_as_failed()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 10209
unit: def update_model_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/model_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10210
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10211
unit: def update_join_job_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10212
unit: def update_join_job_input_obs_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10213
unit: def update_join_job_input_reward_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10214
unit: def update_join_job_output_joined_eval_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10215
unit: def update_join_job_output_joined_train_data_s3_path()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/join_db_client.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10216
unit: def __init__()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10217
unit: def update_experiment_record()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10218
unit: def update_training_workflow_metadata_with_validation()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/orchestrator/clients/ddb/experiment_db_client.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10219
unit: def reward()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10220
unit: def _train()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/sagemaker_rl/stable_baselines_launcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10221
unit: def is_initialized()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10222
unit: def get_environment_states()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10223
unit: def get_environment_ids()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10224
unit: def collect_rollouts_for_single_env_with_given_episodes()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10225
unit: def collect_rollouts_for_single_env_with_given_steps()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10226
unit: def collect_rollouts_with_given_action_probs()
file: reinforcement_learning/rl_roboschool_stable_baselines/common/env_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10227
unit: def tokenize()
file: sagemaker_processing/fairness_and_explainability/text_explainability/scripts/train.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10228
unit: def save()
file: sagemaker-python-sdk/mxnet_gluon_mnist/mnist.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10229
unit: def __init__()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10230
unit: def num_links()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10231
unit: def num_user()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10232
unit: def num_movie()
file: sagemaker-python-sdk/dgl_gcmc/data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10233
unit: def close()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10234
unit: def gluon_total_param_num()
file: sagemaker-python-sdk/dgl_gcmc/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 10235
unit: def get_lr_at_iter()
file: sagemaker-python-sdk/mxnet_horovod_maskrcnn/source/train_mask_rcnn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10236
unit: def train_input_fn()
file: sagemaker-python-sdk/tensorflow_script_mode_pipe_mode/pipemode.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10237
unit: def eval_input_fn()
file: sagemaker-python-sdk/tensorflow_script_mode_pipe_mode/pipemode.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10238
unit: def tfhub_to_savedmodel()
file: sagemaker-python-sdk/tensorflow_serving_container/sample_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10239
unit: def get_dataloader()
file: sagemaker-python-sdk/mxnet_horovod_fasterrcnn/source/train_faster_rcnn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10240
unit: def get_lr_at_iter()
file: sagemaker-python-sdk/mxnet_horovod_fasterrcnn/source/train_faster_rcnn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10241
unit: def train_input_fn()
file: sagemaker-python-sdk/managed_spot_training_tensorflow_estimator/iris_dnn_classifier.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10242
unit: def eval_input_fn()
file: sagemaker-python-sdk/managed_spot_training_tensorflow_estimator/iris_dnn_classifier.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10243
unit: def _int64_feature()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10244
unit: def _bytes_feature()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/generate_cifar10_tfrecords.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10245
unit: def train_input_fn()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10246
unit: def eval_input_fn()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10247
unit: def validation_input_fn()
file: sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/source_dir/cifar10_keras_main.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10248
unit: def _int64_feature()
file: sagemaker-python-sdk/tensorflow_moving_from_framework_mode_to_script_mode/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10249
unit: def _bytes_feature()
file: sagemaker-python-sdk/tensorflow_moving_from_framework_mode_to_script_mode/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10250
unit: def train_input_fn()
file: sagemaker-python-sdk/tensorflow_moving_from_framework_mode_to_script_mode/mnist.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10251
unit: def eval_input_fn()
file: sagemaker-python-sdk/tensorflow_moving_from_framework_mode_to_script_mode/mnist.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10252
unit: def save_checkpoint()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10253
unit: def load_checkpoint()
file: sagemaker-python-sdk/dgl_gcn_tox21/main.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10254
unit: def __len__()
file: frameworks/pytorch/code/train.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10255
unit: def __getitem__()
file: frameworks/pytorch/code/train.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10256
unit: def __len__()
file: frameworks/mxnet/code/train.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10257
unit: def set_namespace()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10258
unit: def delete()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 10259
unit: def clear()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10260
unit: def clear_all()
file: end_to_end/music_recommendation/code/parameter_store.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10261
unit: def get_inference_specification_dict()
file: end_to_end/music_recommendation/code/inference_specification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 10262
unit: def get_inference_specification_dict()
file: end_to_end/fraud_detection/model_package_src/inference_specification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10263
unit: def get_inference_specification_json()
file: end_to_end/fraud_detection/model_package_src/inference_specification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10264
unit: def list_models()
file: sagemaker_edge_manager/sagemaker_edge_example/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10265
unit: def predict_fn()
file: sagemaker-inference-recommender/huggingface-inference-recommender/code/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10266
unit: def _return_error()
file: sagemaker-inference-recommender/code/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10267
unit: def _mp_fn()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_single_node/scripts/run_mlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10268
unit: def _mp_fn()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_single_node/scripts/run_clm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10269
unit: def _mp_fn()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_multiple_node/scripts/run_mlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10270
unit: def _mp_fn()
file: sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_multiple_node/scripts/run_clm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 10271
unit: def _return_error()
file: sagemaker-experiments/track-an-airflow-workflow/code/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10272
unit: def _predict_fn()
file: sagemaker-jumpstart/multimodal_tabtext/code/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10273
unit: def _configure_distribution()
file: sagemaker-jumpstart/multimodal_tabtext/ag_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10274
unit: def __init__()
file: sagemaker-jumpstart/multimodal_tabtext/ag_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10275
unit: def _predict_fn()
file: sagemaker-jumpstart/multicategory_sec/code/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10276
unit: def _configure_distribution()
file: sagemaker-jumpstart/multicategory_sec/ag_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 10277
unit: def __init__()
file: sagemaker-jumpstart/multicategory_sec/ag_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 10278
unit: def run_app()
file: r_examples/r_serving_with_fastapi/endpoints.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1