id: 1 unit: def _create_tpu_estimator_spec() file: tensorflow_privacy/privacy/estimators/v1/head.py start line: 0 end line: 0 size: 117 LOC McCabe index: 13 number of parameters: 8 id: 2 unit: def _create_tpu_estimator_spec() file: tensorflow_privacy/privacy/estimators/v1/head.py start line: 0 end line: 0 size: 107 LOC McCabe index: 5 number of parameters: 8 id: 3 unit: def inference_deeper() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 100 LOC McCabe index: 5 number of parameters: 2 id: 4 unit: def main() file: research/pate_2018/ICLR2018/rdp_bucketized.py start line: 0 end line: 0 size: 98 LOC McCabe index: 7 number of parameters: 1 id: 5 unit: def compute_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 92 LOC McCabe index: 15 number of parameters: 8 id: 6 unit: def analyze_gnmax_conf_data_dep() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 82 LOC McCabe index: 13 number of parameters: 5 id: 7 unit: def main() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/codelabs/example.py start line: 0 end line: 0 size: 81 LOC McCabe index: 6 number of parameters: 1 id: 8 unit: def inference() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 79 LOC McCabe index: 6 number of parameters: 2 id: 9 unit: def print_plot_large() file: research/pate_2018/ICLR2018/rdp_cumulative.py start line: 0 end line: 0 size: 75 LOC McCabe index: 4 number of parameters: 7 id: 10 unit: def run_analysis() file: research/pate_2018/ICLR2018/rdp_cumulative.py start line: 0 end line: 0 size: 70 LOC McCabe index: 9 number of parameters: 4 id: 11 unit: def _create_tpu_estimator_spec() file: tensorflow_privacy/privacy/estimators/binary_class_head.py start line: 0 end line: 0 size: 69 LOC McCabe index: 3 number of parameters: 10 id: 12 unit: def _create_tpu_estimator_spec() file: tensorflow_privacy/privacy/estimators/multi_label_head.py start line: 0 end line: 0 size: 68 LOC McCabe index: 3 number of parameters: 10 id: 13 unit: def _create_tpu_estimator_spec() file: tensorflow_privacy/privacy/estimators/multi_class_head.py start line: 0 end line: 0 size: 68 LOC McCabe index: 3 number of parameters: 10 id: 14 unit: def main() file: tutorials/mnist_dpsgd_tutorial_eager.py start line: 0 end line: 0 size: 61 LOC McCabe index: 16 number of parameters: 1 id: 15 unit: def _find_optimal_smooth_sensitivity_parameters() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 58 LOC McCabe index: 15 number of parameters: 10 id: 16 unit: def main() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 56 LOC McCabe index: 19 number of parameters: 1 id: 17 unit: def nn_model_fn() file: tutorials/movielens_tutorial.py start line: 0 end line: 0 size: 54 LOC McCabe index: 7 number of parameters: 3 id: 18 unit: def extract_cifar10() file: research/pate_2017/input.py start line: 0 end line: 0 size: 52 LOC McCabe index: 15 number of parameters: 2 id: 19 unit: def plot_partition() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 51 LOC McCabe index: 5 number of parameters: 3 id: 20 unit: def compute_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized.py start line: 0 end line: 0 size: 50 LOC McCabe index: 10 number of parameters: 8 id: 21 unit: def validate() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 50 LOC McCabe index: 17 number of parameters: 1 id: 22 unit: def get_cumsum_and_update() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 47 LOC McCabe index: 14 number of parameters: 2 id: 23 unit: def main() file: tutorials/movielens_tutorial.py start line: 0 end line: 0 size: 47 LOC McCabe index: 12 number of parameters: 1 id: 24 unit: def _maybe_compose() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 46 LOC McCabe index: 17 number of parameters: 4 id: 25 unit: def main() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation_example.py start line: 0 end line: 0 size: 46 LOC McCabe index: 8 number of parameters: 1 id: 26 unit: def calculate_class_weights() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 46 LOC McCabe index: 13 number of parameters: 4 id: 27 unit: def train() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 44 LOC McCabe index: 11 number of parameters: 4 id: 28 unit: def main() file: tutorials/mnist_dpsgd_tutorial_keras.py start line: 0 end line: 0 size: 44 LOC McCabe index: 6 number of parameters: 1 id: 29 unit: def _compute_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 43 LOC McCabe index: 10 number of parameters: 5 id: 30 unit: def _compute_rdp() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 43 LOC McCabe index: 7 number of parameters: 8 id: 31 unit: def get_cumsum_and_update() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 42 LOC McCabe index: 15 number of parameters: 2 id: 32 unit: def _compute_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 42 LOC McCabe index: 10 number of parameters: 5 id: 33 unit: def fit() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 42 LOC McCabe index: 8 number of parameters: 10 id: 34 unit: def main() file: tutorials/mnist_dpsgd_tutorial_keras_model.py start line: 0 end line: 0 size: 42 LOC McCabe index: 6 number of parameters: 1 id: 35 unit: def main() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_example.py start line: 0 end line: 0 size: 39 LOC McCabe index: 5 number of parameters: 1 id: 36 unit: def _tree_sensitivity_square_sum() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 38 LOC McCabe index: 12 number of parameters: 5 id: 37 unit: def _compute_rdp_sample_wor_gaussian_int() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 38 LOC McCabe index: 9 number of parameters: 3 id: 38 unit: def _compute_rdp_sample_without_replacement_int() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 38 LOC McCabe index: 9 number of parameters: 3 id: 39 unit: def main() file: research/GDP_2019/imdb_tutorial.py start line: 0 end line: 0 size: 38 LOC McCabe index: 12 number of parameters: 1 id: 40 unit: def main() file: research/GDP_2019/adult_tutorial.py start line: 0 end line: 0 size: 38 LOC McCabe index: 12 number of parameters: 1 id: 41 unit: def main() file: tutorials/mnist_lr_tutorial.py start line: 0 end line: 0 size: 38 LOC McCabe index: 9 number of parameters: 1 id: 42 unit: def main() file: research/pate_2018/ICLR2018/rdp_cumulative.py start line: 0 end line: 0 size: 37 LOC McCabe index: 3 number of parameters: 1 id: 43 unit: def cnn_model_fn() file: tutorials/mnist_dpsgd_tutorial_vectorized.py start line: 0 end line: 0 size: 37 LOC McCabe index: 7 number of parameters: 3 id: 44 unit: def main() file: tutorials/mnist_dpsgd_tutorial_tpu.py start line: 0 end line: 0 size: 37 LOC McCabe index: 8 number of parameters: 1 id: 45 unit: def main() file: tutorials/lm_dpsgd_tutorial.py start line: 0 end line: 0 size: 37 LOC McCabe index: 11 number of parameters: 1 id: 46 unit: def append() file: tensorflow_privacy/privacy/analysis/tensor_buffer.py start line: 0 end line: 0 size: 36 LOC McCabe index: 2 number of parameters: 2 id: 47 unit: def summary() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 36 LOC McCabe index: 4 number of parameters: 2 id: 48 unit: def _compute_membership_probability() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 36 LOC McCabe index: 6 number of parameters: 2 id: 49 unit: def plot_comparison() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 36 LOC McCabe index: 4 number of parameters: 5 id: 50 unit: def cnn_model_fn() file: tutorials/mnist_dpsgd_tutorial_tpu.py start line: 0 end line: 0 size: 36 LOC McCabe index: 7 number of parameters: 4 id: 51 unit: def rnn_model_fn() file: tutorials/lm_dpsgd_tutorial.py start line: 0 end line: 0 size: 36 LOC McCabe index: 4 number of parameters: 3 id: 52 unit: def main() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 35 LOC McCabe index: 9 number of parameters: 1 id: 53 unit: def print_plot_small() file: research/pate_2018/ICLR2018/rdp_cumulative.py start line: 0 end line: 0 size: 35 LOC McCabe index: 3 number of parameters: 4 id: 54 unit: def __init__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation.py start line: 0 end line: 0 size: 34 LOC McCabe index: 6 number of parameters: 7 id: 55 unit: def nn_model_fn() file: research/GDP_2019/imdb_tutorial.py start line: 0 end line: 0 size: 34 LOC McCabe index: 7 number of parameters: 3 id: 56 unit: def fit_generator() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 33 LOC McCabe index: 6 number of parameters: 8 id: 57 unit: def prepare_student_data() file: research/pate_2017/train_student.py start line: 0 end line: 0 size: 33 LOC McCabe index: 12 number of parameters: 3 id: 58 unit: def lr_model_fn() file: tutorials/mnist_lr_tutorial.py start line: 0 end line: 0 size: 33 LOC McCabe index: 3 number of parameters: 5 id: 59 unit: def nn_model_fn() file: research/GDP_2019/adult_tutorial.py start line: 0 end line: 0 size: 32 LOC McCabe index: 7 number of parameters: 3 id: 60 unit: def calculate_pd_dataframe() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 31 LOC McCabe index: 3 number of parameters: 1 id: 61 unit: def rdp_gaussian() file: research/pate_2018/core.py start line: 0 end line: 0 size: 31 LOC McCabe index: 14 number of parameters: 3 id: 62 unit: def small_cnn_fn() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation_example.py start line: 0 end line: 0 size: 30 LOC McCabe index: 6 number of parameters: 3 id: 63 unit: def plot_rdp_curve_per_example() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 30 LOC McCabe index: 4 number of parameters: 2 id: 64 unit: def get_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 29 LOC McCabe index: 5 number of parameters: 3 id: 65 unit: def __init__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation.py start line: 0 end line: 0 size: 29 LOC McCabe index: 4 number of parameters: 5 id: 66 unit: def __init__() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 29 LOC McCabe index: 5 number of parameters: 8 id: 67 unit: def compute_local_sensitivity_bounds_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 29 LOC McCabe index: 15 number of parameters: 4 id: 68 unit: def cnn_model_fn() file: tutorials/mnist_dpsgd_tutorial.py start line: 0 end line: 0 size: 29 LOC McCabe index: 7 number of parameters: 4 id: 69 unit: def cnn_model_fn() file: tutorials/walkthrough/mnist_scratch.py start line: 0 end line: 0 size: 29 LOC McCabe index: 4 number of parameters: 3 id: 70 unit: def _build_tree_from_leaf() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 28 LOC McCabe index: 2 number of parameters: 2 id: 71 unit: def compute_noise() file: tensorflow_privacy/privacy/analysis/compute_noise_from_budget_lib.py start line: 0 end line: 0 size: 28 LOC McCabe index: 5 number of parameters: 6 id: 72 unit: def _run_trained_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 3 id: 73 unit: def get_single_slice_specs() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 28 LOC McCabe index: 11 number of parameters: 2 id: 74 unit: def get_noise() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 28 LOC McCabe index: 2 number of parameters: 3 id: 75 unit: def train_teacher() file: research/pate_2017/train_teachers.py start line: 0 end line: 0 size: 28 LOC McCabe index: 8 number of parameters: 3 id: 76 unit: def analyze_gnmax_conf_data_ind() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 28 LOC McCabe index: 6 number of parameters: 5 id: 77 unit: def get_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 27 LOC McCabe index: 6 number of parameters: 3 id: 78 unit: def generate_features_and_labels() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/codelabs/example.py start line: 0 end line: 0 size: 27 LOC McCabe index: 2 number of parameters: 2 id: 79 unit: def run_attacks() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 27 LOC McCabe index: 6 number of parameters: 3 id: 80 unit: def _binary_logistic_head_with_sigmoid_cross_entropy_loss() file: tensorflow_privacy/privacy/estimators/v1/head.py start line: 0 end line: 0 size: 27 LOC McCabe index: 9 number of parameters: 6 id: 81 unit: def _load_votes() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 27 LOC McCabe index: 5 number of parameters: 3 id: 82 unit: def main() file: research/pate_2018/ICLR2018/utility_queries_answered.py start line: 0 end line: 0 size: 27 LOC McCabe index: 2 number of parameters: 1 id: 83 unit: def main() file: tutorials/mnist_dpsgd_tutorial.py start line: 0 end line: 0 size: 27 LOC McCabe index: 8 number of parameters: 1 id: 84 unit: def main() file: tutorials/mnist_dpsgd_tutorial_vectorized.py start line: 0 end line: 0 size: 27 LOC McCabe index: 10 number of parameters: 1 id: 85 unit: def generate_random_sequences() file: tensorflow_privacy/privacy/privacy_tests/secret_sharer/generate_secrets.py start line: 0 end line: 0 size: 26 LOC McCabe index: 6 number of parameters: 4 id: 86 unit: def run_seq2seq_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 26 LOC McCabe index: 4 number of parameters: 3 id: 87 unit: def run_attack_on_keras_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation.py start line: 0 end line: 0 size: 26 LOC McCabe index: 2 number of parameters: 5 id: 88 unit: def print_privacy_guarantees() file: tutorials/mnist_lr_tutorial.py start line: 0 end line: 0 size: 26 LOC McCabe index: 6 number of parameters: 4 id: 89 unit: def _sample_discrete_gaussian_helper() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 25 LOC McCabe index: 9 number of parameters: 3 id: 90 unit: def load_data() file: tutorials/lm_dpsgd_tutorial.py start line: 0 end line: 0 size: 25 LOC McCabe index: 5 number of parameters: 0 id: 91 unit: def build_l2_gaussian_query() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 6 id: 92 unit: def build_l2_gaussian_query() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 6 id: 93 unit: def _compute_log_a_frac() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 24 LOC McCabe index: 5 number of parameters: 3 id: 94 unit: def _compute_epsilon() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 24 LOC McCabe index: 14 number of parameters: 3 id: 95 unit: def _compute_log_a_frac() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 24 LOC McCabe index: 5 number of parameters: 3 id: 96 unit: def collect_results() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 3 id: 97 unit: def train_op_fun() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 24 LOC McCabe index: 4 number of parameters: 2 id: 98 unit: def softmax_preds() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 24 LOC McCabe index: 7 number of parameters: 3 id: 99 unit: def compute_logq0_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 24 LOC McCabe index: 5 number of parameters: 2 id: 100 unit: def compute_rdp_tree_restart() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 23 LOC McCabe index: 10 number of parameters: 5 id: 101 unit: def validate() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 23 LOC McCabe index: 14 number of parameters: 1 id: 102 unit: def run_attack_helper() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 7 id: 103 unit: def loss() file: tensorflow_privacy/privacy/estimators/binary_class_head.py start line: 0 end line: 0 size: 23 LOC McCabe index: 4 number of parameters: 6 id: 104 unit: def loss() file: tensorflow_privacy/privacy/estimators/multi_label_head.py start line: 0 end line: 0 size: 23 LOC McCabe index: 4 number of parameters: 6 id: 105 unit: def loss() file: tensorflow_privacy/privacy/estimators/multi_class_head.py start line: 0 end line: 0 size: 23 LOC McCabe index: 4 number of parameters: 6 id: 106 unit: def _multi_class_head_with_softmax_cross_entropy_loss() file: tensorflow_privacy/privacy/estimators/v1/head.py start line: 0 end line: 0 size: 23 LOC McCabe index: 5 number of parameters: 6 id: 107 unit: def scatter_plot() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 23 LOC McCabe index: 5 number of parameters: 5 id: 108 unit: def __init__() file: tensorflow_privacy/privacy/analysis/tensor_buffer.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 5 id: 109 unit: def _compute_eps() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 22 LOC McCabe index: 11 number of parameters: 3 id: 110 unit: def _resource_apply_dense() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 22 LOC McCabe index: 4 number of parameters: 4 id: 111 unit: def _get_attack_features_and_metadata() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 2 id: 112 unit: def create_attacker_data() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 3 id: 113 unit: def __init__() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 7 id: 114 unit: def plot_rdp_total() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 22 LOC McCabe index: 3 number of parameters: 2 id: 115 unit: def run_or_load_all_analyses() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 0 id: 116 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 21 LOC McCabe index: 4 number of parameters: 7 id: 117 unit: def compute_rdp_single_tree() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 21 LOC McCabe index: 6 number of parameters: 6 id: 118 unit: def logistic_dpsgd() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 9 id: 119 unit: def _calculate_combined_df_with_metadata() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/privacy_report.py start line: 0 end line: 0 size: 21 LOC McCabe index: 3 number of parameters: 1 id: 120 unit: def _generate_subplots() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/privacy_report.py start line: 0 end line: 0 size: 21 LOC McCabe index: 6 number of parameters: 4 id: 121 unit: def ld_svhn() file: research/pate_2017/input.py start line: 0 end line: 0 size: 21 LOC McCabe index: 10 number of parameters: 2 id: 122 unit: def compute_ls_q() file: research/pate_2018/ICLR2018/plot_ls_q.py start line: 0 end line: 0 size: 21 LOC McCabe index: 4 number of parameters: 3 id: 123 unit: def make_input_fn() file: tutorials/mnist_dpsgd_tutorial_common.py start line: 0 end line: 0 size: 21 LOC McCabe index: 5 number of parameters: 4 id: 124 unit: def _compute_delta() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 20 LOC McCabe index: 10 number of parameters: 3 id: 125 unit: def _compute_delta() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 20 LOC McCabe index: 9 number of parameters: 3 id: 126 unit: def logistic_objective_perturbation() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 20 LOC McCabe index: 1 number of parameters: 7 id: 127 unit: def _get_entropy() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 2 id: 128 unit: def attack_with_varied_thresholds() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 2 id: 129 unit: def __init__() file: tensorflow_privacy/privacy/estimators/multi_label_head.py start line: 0 end line: 0 size: 20 LOC McCabe index: 2 number of parameters: 9 id: 130 unit: def noisy_max() file: research/pate_2017/aggregation.py start line: 0 end line: 0 size: 20 LOC McCabe index: 12 number of parameters: 3 id: 131 unit: def compute_local_sensitivity_bounds_threshold() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 20 LOC McCabe index: 6 number of parameters: 5 id: 132 unit: def plot_two_data_ind_curves() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 20 LOC McCabe index: 2 number of parameters: 0 id: 133 unit: def compose() file: tensorflow_privacy/privacy/analysis/dp_event_builder.py start line: 0 end line: 0 size: 19 LOC McCabe index: 8 number of parameters: 3 id: 134 unit: def __exit__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 19 LOC McCabe index: 2 number of parameters: 2 id: 135 unit: def compile() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 19 LOC McCabe index: 6 number of parameters: 5 id: 136 unit: def maybe_download() file: research/pate_2017/input.py start line: 0 end line: 0 size: 19 LOC McCabe index: 2 number of parameters: 2 id: 137 unit: def main() file: tutorials/walkthrough/mnist_scratch.py start line: 0 end line: 0 size: 19 LOC McCabe index: 7 number of parameters: 1 id: 138 unit: def _compute_rdp_sample_wor_gaussian_scalar() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 3 id: 139 unit: def _compute_rdp_sample_without_replacement_scalar() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 3 id: 140 unit: def write_results_to_tensorboard_tf2() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/utils_tensorboard.py start line: 0 end line: 0 size: 18 LOC McCabe index: 7 number of parameters: 5 id: 141 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 18 LOC McCabe index: 5 number of parameters: 1 id: 142 unit: def _compute_missing_privacy_report_metadata() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 18 LOC McCabe index: 8 number of parameters: 2 id: 143 unit: def end() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation.py start line: 0 end line: 0 size: 18 LOC McCabe index: 4 number of parameters: 2 id: 144 unit: def run_attack_on_tf_estimator_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation.py start line: 0 end line: 0 size: 18 LOC McCabe index: 3 number of parameters: 6 id: 145 unit: def __call__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 18 LOC McCabe index: 3 number of parameters: 7 id: 146 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 8 id: 147 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 3 id: 148 unit: def __init__() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 7 id: 149 unit: def __init__() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 8 id: 150 unit: def _get_batch_loss_metrics() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 2 id: 151 unit: def _get_batch_accuracy_metrics() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 2 id: 152 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 17 LOC McCabe index: 7 number of parameters: 1 id: 153 unit: def _run_threshold_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 17 LOC McCabe index: 3 number of parameters: 1 id: 154 unit: def run_membership_probability_analysis() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 2 id: 155 unit: def rdp_pure_eps() file: research/pate_2018/core.py start line: 0 end line: 0 size: 17 LOC McCabe index: 3 number of parameters: 3 id: 156 unit: def main() file: research/pate_2018/ICLR2018/plot_ls_q.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 1 id: 157 unit: def load_mnist() file: tutorials/mnist_dpsgd_tutorial_keras.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 0 id: 158 unit: def load_mnist() file: tutorials/mnist_dpsgd_tutorial_keras_model.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 0 id: 159 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 3 id: 160 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 3 id: 161 unit: def _effective_gaussian_noise_multiplier() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 16 LOC McCabe index: 7 number of parameters: 1 id: 162 unit: def compute_exposure_interpolation() file: tensorflow_privacy/privacy/privacy_tests/secret_sharer/exposures.py start line: 0 end line: 0 size: 16 LOC McCabe index: 10 number of parameters: 3 id: 163 unit: def on_epoch_end() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 3 id: 164 unit: def plot_histograms() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/plotting.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 4 id: 165 unit: def __init__() file: tensorflow_privacy/privacy/estimators/v1/dnn.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 0 id: 166 unit: def _hide_layer_and_module_methods() file: g3doc/build_docs.py start line: 0 end line: 0 size: 16 LOC McCabe index: 6 number of parameters: 0 id: 167 unit: def compute_privacy_cost_per_bins() file: research/pate_2018/ICLR2018/rdp_bucketized.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 4 id: 168 unit: def load_mnist() file: tutorials/mnist_lr_tutorial.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 1 id: 169 unit: def load_movielens() file: tutorials/movielens_tutorial.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 0 id: 170 unit: def build_distributed_discrete_gaussian_query() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 4 id: 171 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 1 id: 172 unit: def _get_init_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 2 id: 173 unit: def _get_init_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 2 id: 174 unit: def build() file: tensorflow_privacy/privacy/analysis/dp_event_builder.py start line: 0 end line: 0 size: 15 LOC McCabe index: 6 number of parameters: 1 id: 175 unit: def __init__() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 8 id: 176 unit: def __init__() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 7 id: 177 unit: def get_slice() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 2 id: 178 unit: def __init__() file: tensorflow_privacy/privacy/estimators/dnn.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 179 unit: def project_weights_to_r() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 2 id: 180 unit: def ld_mnist() file: research/pate_2017/input.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 1 id: 181 unit: def _is_non_decreasing() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 3 id: 182 unit: def plot_rdp_of_sigma() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 2 id: 183 unit: def compute_rdp_curve() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 6 id: 184 unit: def plot_data_ind_curve() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 185 unit: def _check_conditions() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 15 LOC McCabe index: 6 number of parameters: 3 id: 186 unit: def load_mnist() file: tutorials/mnist_dpsgd_tutorial_vectorized.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 187 unit: def load_mnist() file: tutorials/walkthrough/mnist_scratch.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 188 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 3 id: 189 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 6 id: 190 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 6 id: 191 unit: def apply_dp_sgd_analysis() file: tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy_lib.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 5 id: 192 unit: def _stable_inplace_diff_in_log() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 14 LOC McCabe index: 6 number of parameters: 3 id: 193 unit: def _stable_inplace_diff_in_log() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 14 LOC McCabe index: 6 number of parameters: 3 id: 194 unit: def make_optimizer_class() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 1 id: 195 unit: def mnist_dataset() file: tensorflow_privacy/privacy/logistic_regression/datasets.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 0 id: 196 unit: def construct_secret() file: tensorflow_privacy/privacy/privacy_tests/secret_sharer/generate_secrets.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 2 id: 197 unit: def generate_secrets_and_references() file: tensorflow_privacy/privacy/privacy_tests/secret_sharer/generate_secrets.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 2 id: 198 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 199 unit: def get_flattened_attack_metrics() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 1 id: 200 unit: def train_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 3 id: 201 unit: def _run_threshold_entropy_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 202 unit: def _run_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 4 id: 203 unit: def _slice_data_by_indices() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 3 id: 204 unit: def __init__() file: tensorflow_privacy/privacy/estimators/binary_class_head.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 7 id: 205 unit: def binary_or_multi_class_head() file: tensorflow_privacy/privacy/estimators/head_utils.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 4 id: 206 unit: def __init__() file: tensorflow_privacy/privacy/estimators/multi_class_head.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 7 id: 207 unit: def _binary_logistic_or_multi_class_head() file: tensorflow_privacy/privacy/estimators/v1/head.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 4 id: 208 unit: def _model_fn() file: tensorflow_privacy/privacy/estimators/v1/dnn.py start line: 0 end line: 0 size: 14 LOC McCabe index: 2 number of parameters: 4 id: 209 unit: def sens_at_k() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 14 LOC McCabe index: 5 number of parameters: 4 id: 210 unit: def train_student() file: research/pate_2017/train_student.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 2 id: 211 unit: def main() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 212 unit: def run_all_analyses() file: research/pate_2018/ICLR2018/rdp_cumulative.py start line: 0 end line: 0 size: 14 LOC McCabe index: 7 number of parameters: 4 id: 213 unit: def __init__() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 7 id: 214 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 13 LOC McCabe index: 5 number of parameters: 3 id: 215 unit: def _get_add_noise() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 2 id: 216 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_query.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 3 id: 217 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 3 id: 218 unit: def get_privacy_spent() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 13 LOC McCabe index: 6 number of parameters: 4 id: 219 unit: def compute_dpsgd_noise_multiplier() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 6 id: 220 unit: def write_to_tensorboard_tf2() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/utils_tensorboard.py start line: 0 end line: 0 size: 13 LOC McCabe index: 6 number of parameters: 4 id: 221 unit: def _model_fn() file: tensorflow_privacy/privacy/estimators/dnn.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 4 id: 222 unit: def gen_api_docs() file: g3doc/build_docs.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 0 id: 223 unit: def logmgf_exact() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 3 id: 224 unit: def extract_mnist_data() file: research/pate_2017/input.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 4 id: 225 unit: def _compute_local_sens_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 4 id: 226 unit: def check_conditions() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 3 id: 227 unit: def compute_expected_answered_per_bin() file: research/pate_2018/ICLR2018/rdp_bucketized.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 4 id: 228 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 3 id: 229 unit: def build_central_gaussian_query() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 4 id: 230 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 5 id: 231 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 12 LOC McCabe index: 5 number of parameters: 3 id: 232 unit: def _max_tree_sensitivity_square_sum() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 12 LOC McCabe index: 5 number of parameters: 3 id: 233 unit: def compute_zcdp_single_tree() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 12 LOC McCabe index: 5 number of parameters: 4 id: 234 unit: def _get_forward_diffs() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 2 id: 235 unit: def _get_forward_diffs() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 2 id: 236 unit: def plot_curve_with_area() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/plotting.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 4 id: 237 unit: def train_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 3 id: 238 unit: def __call__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 2 id: 239 unit: def smoothed_sens() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 4 id: 240 unit: def image_whitening() file: research/pate_2017/input.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 1 id: 241 unit: def compute_count_per_bin() file: research/pate_2018/ICLR2018/rdp_bucketized.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 2 id: 242 unit: def get_cnn_model() file: tutorials/mnist_dpsgd_tutorial_common.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 243 unit: def _log_sub() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 2 id: 244 unit: def _log_sub_sign() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 245 unit: def _log_sub() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 2 id: 246 unit: def _log_sub_sign() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 247 unit: def compute_rdp_sample_without_replacement() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 4 id: 248 unit: def _prepare_local() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 4 id: 249 unit: def __init__() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 7 id: 250 unit: def __init__() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 7 id: 251 unit: def __getattr__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 2 id: 252 unit: def extract_mnist_labels() file: research/pate_2017/input.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 2 id: 253 unit: def ld_cifar10() file: research/pate_2017/input.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 1 id: 254 unit: def ensemble_preds() file: research/pate_2017/train_student.py start line: 0 end line: 0 size: 11 LOC McCabe index: 8 number of parameters: 3 id: 255 unit: def compute_epsilon() file: tutorials/mnist_dpsgd_tutorial_vectorized.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 256 unit: def compute_epsilon() file: tutorials/mnist_dpsgd_tutorial_eager.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 257 unit: def compute_epsilon() file: tutorials/lm_dpsgd_tutorial.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 258 unit: def compute_epsilon() file: tutorials/mnist_dpsgd_tutorial_keras.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 259 unit: def compute_epsilon() file: tutorials/mnist_dpsgd_tutorial_keras_model.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 260 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 2 id: 261 unit: def _add_local_noise() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 4 id: 262 unit: def _check_input_args() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 3 id: 263 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 3 id: 264 unit: def reset_l2_clip_gaussian_noise() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 4 id: 265 unit: def _compute_rdp_tree_restart() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 3 id: 266 unit: def _log_erfc() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 267 unit: def _compute_rdp_poisson_subsampled_gaussian() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 10 LOC McCabe index: 6 number of parameters: 3 id: 268 unit: def _log_erfc() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 269 unit: def clip_gradients_vmap() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 2 id: 270 unit: def make_vectorized_optimizer_class() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 1 id: 271 unit: def logistic_objective_perturbation_parameters() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 6 id: 272 unit: def small_cnn() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_example.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 0 id: 273 unit: def get_loss_train() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 274 unit: def get_loss_test() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 1 id: 275 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 1 id: 276 unit: def _slice_by_percentiles() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 3 id: 277 unit: def plot_by_epochs() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/privacy_report.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 278 unit: def plot_privacy_vs_accuracy() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/privacy_report.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 279 unit: def call() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 280 unit: def load_adult() file: research/GDP_2019/adult_tutorial.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 0 id: 281 unit: def aggregation_most_frequent() file: research/pate_2017/aggregation.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 282 unit: def compute_q_noisy_max() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 2 id: 283 unit: def extract_svhn() file: research/pate_2017/input.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 284 unit: def accuracy() file: research/pate_2017/metrics.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 2 id: 285 unit: def _compute_data_dep_bound_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 3 id: 286 unit: def _compute_rdp_list_threshold() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 4 id: 287 unit: def run_all_analyses() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 5 id: 288 unit: def _process_per_example_grads() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 289 unit: def _compute_per_example_grads() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 290 unit: def train_step() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 291 unit: def next() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 292 unit: def _get_cumsum() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 293 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_query.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 294 unit: def next() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 295 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 296 unit: def _compute_log_a_int() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 297 unit: def _compute_log_a_int() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 298 unit: def synthetic_linearly_separable_data() file: tensorflow_privacy/privacy/logistic_regression/datasets.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 4 id: 299 unit: def single_layer_softmax_classifier() file: tensorflow_privacy/privacy/logistic_regression/single_layer_softmax.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 300 unit: def compute_exposure_extrapolation() file: tensorflow_privacy/privacy/privacy_tests/secret_sharer/exposures.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 301 unit: def train_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 3 id: 302 unit: def train_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 3 id: 303 unit: def __init__() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 4 id: 304 unit: def partition_dataset() file: research/pate_2017/input.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 4 id: 305 unit: def _input_placeholder() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 306 unit: def _log1mexp() file: research/pate_2018/core.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 307 unit: def compute_logq_gaussian() file: research/pate_2018/core.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 308 unit: def _construct_symbolic_beta() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 3 id: 309 unit: def _construct_below_estimate_query() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 310 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 311 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 312 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 313 unit: def main() file: tensorflow_privacy/privacy/analysis/compute_noise_from_budget.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 314 unit: def main() file: tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 315 unit: def compute_dp_sgd_privacy() file: tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy_lib.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 5 id: 316 unit: def _compute_rdp() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 317 unit: def compute_heterogeneous_rdp() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 4 id: 318 unit: def apply_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 319 unit: def get_config() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 320 unit: def apply_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 321 unit: def get_config() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 322 unit: def apply_gradients() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 323 unit: def _group_results_by_slice() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 324 unit: def _slice_by_classification_correctness() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 325 unit: def load_imdb() file: research/GDP_2019/imdb_tutorial.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 326 unit: def batch_indices() file: research/pate_2017/utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 327 unit: def compute_q_noisy_max_approx() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 328 unit: def rdp_data_independent_gaussian() file: research/pate_2018/core.py start line: 0 end line: 0 size: 8 LOC McCabe index: 5 number of parameters: 2 id: 329 unit: def is_data_independent_always_opt_threshold() file: research/pate_2018/core.py start line: 0 end line: 0 size: 8 LOC McCabe index: 6 number of parameters: 4 id: 330 unit: def _count_teachers() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 331 unit: def _reduce_per_example_grads() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 332 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 333 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 334 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 335 unit: def reset_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 336 unit: def compose() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 337 unit: def compute_rdp() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 4 id: 338 unit: def linearly_separable_labeled_examples() file: tensorflow_privacy/privacy/logistic_regression/datasets.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 339 unit: def load_cifar10() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation_example.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 340 unit: def _get_ranks_for_sequence() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 341 unit: def load_cifar10() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_example.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 342 unit: def __setattr__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 343 unit: def _variable_with_weight_decay() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 344 unit: def loss_fun() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 345 unit: def is_data_independent_always_opt_gaussian() file: research/pate_2018/core.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 346 unit: def compute_logq_laplace() file: research/pate_2018/core.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 347 unit: def _compute_logq0() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 348 unit: def setup_plot() file: research/pate_2018/ICLR2018/plots_for_slides.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 0 id: 349 unit: def main() file: research/pate_2018/ICLR2018/plot_partition.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 350 unit: def download() file: research/pate_2018/ICLR2018/download.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 351 unit: def _construct_below_estimate_query() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 352 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 353 unit: def reset_state() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 354 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 355 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 356 unit: def _zeros_like() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 357 unit: def next() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 358 unit: def reset_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 359 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 360 unit: def compute_mu_uniform() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 361 unit: def _resource_apply_sparse_duplicate_indices() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 362 unit: def _resource_apply_sparse() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 363 unit: def get_config() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 364 unit: def _get_batch_ranks() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 365 unit: def calculate_losses() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 366 unit: def crossentropy() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/codelabs/example.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 367 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 368 unit: def num_classes() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 4 number of parameters: 1 id: 369 unit: def get_train_size() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 370 unit: def get_test_size() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 371 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 372 unit: def summary() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 373 unit: def get_result_with_max_auc() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 374 unit: def load() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 375 unit: def _get_attack_results_filename() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 376 unit: def _column_stack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 377 unit: def _validate_results() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/privacy_report.py start line: 0 end line: 0 size: 6 LOC McCabe index: 5 number of parameters: 1 id: 378 unit: def compute_eps_from_delta() file: research/pate_2018/core.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 379 unit: def _compute_rdp_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 3 id: 380 unit: def compute_rdp_of_smooth_sensitivity_gaussian() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 381 unit: def _is_data_ind_step1() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 4 id: 382 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 383 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 384 unit: def _construct_below_estimate_query() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 385 unit: def _map_to_queries() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 386 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 387 unit: def get_step_idx() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 388 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 4 id: 389 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 4 id: 390 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 391 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 392 unit: def sample_discrete_gaussian() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 393 unit: def preprocess_record_impl() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 394 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 395 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 396 unit: def preprocess_record_l2_impl() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 397 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 398 unit: def values() file: tensorflow_privacy/privacy/analysis/tensor_buffer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 399 unit: def _compute_gaussian_rdp() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 400 unit: def _log_add() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 401 unit: def _compute_log_a() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 402 unit: def _compute_rdp_sample_wor_gaussian() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 3 id: 403 unit: def _log_add() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 404 unit: def _log_print() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 405 unit: def _compute_log_a() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 406 unit: def _create_slots() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 2 id: 407 unit: def create_seq2seq_attacker_data() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 408 unit: def save_plot() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/plotting.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 409 unit: def save() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 410 unit: def predict() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 411 unit: def __init__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 412 unit: def beta() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 413 unit: def unpickle_cifar_dic() file: research/pate_2017/input.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 414 unit: def moving_av() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 415 unit: def _compute_logq1() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 416 unit: def compute_discounted_max() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 2 id: 417 unit: def compute_params_for_ss_release() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 418 unit: def normalize_data() file: tutorials/mnist_lr_tutorial.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 2 id: 419 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 420 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/tree_range_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 421 unit: def make_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 422 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 423 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 424 unit: def _sample_discrete_laplace() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 425 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 426 unit: def accumulate_record() file: tensorflow_privacy/privacy/dp_query/no_privacy_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 5 id: 427 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/no_privacy_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 428 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 429 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 430 unit: def accumulate_record() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 431 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 432 unit: def _check_possible_tree_participation() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 5 id: 433 unit: def __init__() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 434 unit: def eps_from_mu() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 435 unit: def apply_dp_sgd_analysis() file: tensorflow_privacy/privacy/analysis/compute_noise_from_budget_lib.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 5 id: 436 unit: def _is_last_dim_equal() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 4 number of parameters: 4 id: 437 unit: def logits_or_probs_train() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 438 unit: def logits_or_probs_test() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 439 unit: def get_entropy_train() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 440 unit: def get_entropy_test() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 441 unit: def get_result_with_max_attacker_advantage() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 442 unit: def _get_slice_spec() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 443 unit: def _get_accuracy() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 2 id: 444 unit: def _slice_by_class() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 445 unit: def calculate_losses() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/tf_estimator_evaluation.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 446 unit: def __init__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 447 unit: def initialize() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 448 unit: def de_initialize() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 449 unit: def get_updates() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 450 unit: def apply_gradients() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 451 unit: def minimize() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 452 unit: def lipchitz_constant() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 453 unit: def lipchitz_constant() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 454 unit: def call() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 455 unit: def labels_from_probs() file: research/pate_2017/aggregation.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 456 unit: def create_dir_if_needed() file: research/pate_2017/input.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 457 unit: def _variable_on_cpu() file: research/pate_2017/deep_cnn.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 458 unit: def _compute_mu1_mu2_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 459 unit: def compute_smooth_sensitivity_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 5 id: 460 unit: def _is_data_ind_step2() file: research/pate_2018/ICLR2018/smooth_sensitivity_table.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 461 unit: def __init__() file: tutorials/bolton_tutorial.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 462 unit: def make_dp_model_class() file: tensorflow_privacy/privacy/keras_models/dp_keras_model.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 463 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 464 unit: def accumulate_preprocessed_record() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 465 unit: def merge_sample_states() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 466 unit: def init_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 467 unit: def _get_cumsum() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 468 unit: def init_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 469 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 470 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 471 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/distributed_discrete_gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 472 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 473 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/no_privacy_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 474 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 475 unit: def make_global_state() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 476 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 477 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 478 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 479 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 480 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 481 unit: def _zero_initial_noise() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 482 unit: def __init__() file: tensorflow_privacy/privacy/analysis/dp_event_builder.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 483 unit: def __init__() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 484 unit: def _check_nonnegative() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 3 id: 485 unit: def _compute_gaussian_zcdp() file: tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 486 unit: def _log_comb() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 487 unit: def compute_mu_poisson() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 488 unit: def delta_eps_mu() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 489 unit: def compute_eps_uniform() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 490 unit: def compute_eps_poisson() file: tensorflow_privacy/privacy/analysis/gdp_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 491 unit: def _log_comb() file: tensorflow_privacy/privacy/analysis/rdp_accountant.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 492 unit: def make_gaussian_optimizer_class() file: tensorflow_privacy/privacy/optimizers/dp_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 493 unit: def make_vectorized_keras_optimizer_class() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 494 unit: def make_keras_optimizer_class() file: tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 495 unit: def __call__() file: tensorflow_privacy/privacy/logistic_regression/multinomial_logistic.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 496 unit: def _is_iterator() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py start line: 0 end line: 0 size: 3 LOC McCabe index: 3 number of parameters: 2 id: 497 unit: def is_trained_attack() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 498 unit: def _is_array_one_dimensional() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 3 number of parameters: 2 id: 499 unit: def _is_np_array() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 3 number of parameters: 2 id: 500 unit: def _append_array_shape() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 3 id: 501 unit: def save() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 502 unit: def load() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 503 unit: def _sample_multidimensional_array() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 504 unit: def _indices_by_classification() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 3 id: 505 unit: def __enter__() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 506 unit: def radius() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 507 unit: def gamma() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 508 unit: def beta() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 509 unit: def max_class_weight() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 510 unit: def beta() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 511 unit: def lipchitz_constant() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 512 unit: def logmgf_from_counts() file: research/pate_2017/analysis.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 513 unit: def _logaddexp() file: research/pate_2018/core.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 514 unit: def compute_rdp_threshold() file: research/pate_2018/core.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 515 unit: def _compute_bl_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 516 unit: def _compute_bu_gnmax() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 517 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 518 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 519 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 520 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 521 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/nested_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 522 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 523 unit: def next() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 524 unit: def __init__() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 525 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 526 unit: def next() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 527 unit: def reset_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 528 unit: def reset_state() file: tensorflow_privacy/privacy/dp_query/tree_aggregation.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 529 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 530 unit: def _sample_bernoulli() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 531 unit: def _int_square() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 532 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/discrete_gaussian_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 533 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/no_privacy_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 534 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/no_privacy_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 535 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 536 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 537 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 538 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/normalized_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 539 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 540 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/gaussian_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 541 unit: def initial_global_state() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 542 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 543 unit: def accumulate_preprocessed_record() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 544 unit: def merge_sample_states() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 545 unit: def get_noised_result() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 546 unit: def _safe_add() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 547 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 548 unit: def accumulate_preprocessed_record() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 549 unit: def merge_sample_states() file: tensorflow_privacy/privacy/dp_query/dp_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 550 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 551 unit: def next() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 552 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 553 unit: def initialize() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 554 unit: def initial_sample_state() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 555 unit: def preprocess_record() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 556 unit: def derive_metrics() file: tensorflow_privacy/privacy/dp_query/restart_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 557 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 558 unit: def derive_sample_params() file: tensorflow_privacy/privacy/dp_query/tree_aggregation_query.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 559 unit: def neighboring_relation() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 560 unit: def ledger() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 561 unit: def get_delta() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 562 unit: def current_size() file: tensorflow_privacy/privacy/analysis/tensor_buffer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 563 unit: def capacity() file: tensorflow_privacy/privacy/analysis/tensor_buffer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 564 unit: def supports() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 565 unit: def _compose() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 566 unit: def get_epsilon() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 567 unit: def get_delta() file: tensorflow_privacy/privacy/analysis/rdp_privacy_accountant.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 568 unit: def plot_roc_curve() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/plotting.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 569 unit: def generate_random_cluster() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/codelabs/example.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 570 unit: def entire_dataset() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 571 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 572 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 573 unit: def _is_integer_type_array() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 574 unit: def _log_value() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 575 unit: def get_auc() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 576 unit: def get_attacker_advantage() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 577 unit: def get_attacker_advantage() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 578 unit: def get_auc() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 579 unit: def __str__() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 580 unit: def append() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/data_structures.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 581 unit: def log_loss() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 582 unit: def log_loss_from_logits() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 583 unit: def train_model() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/models.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 584 unit: def _slice_if_not_none() file: tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/dataset_slicing.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 585 unit: def get_config() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 586 unit: def get_config() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 587 unit: def from_config() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 588 unit: def _resource_apply_dense() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 589 unit: def _resource_apply_sparse() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 590 unit: def _compute_gradients() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 591 unit: def get_gradients() file: tensorflow_privacy/privacy/bolt_on/optimizers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 592 unit: def call() file: tensorflow_privacy/privacy/bolt_on/models.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 593 unit: def kernel_regularizer() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 594 unit: def radius() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 595 unit: def gamma() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 596 unit: def kernel_regularizer() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 597 unit: def radius() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 598 unit: def gamma() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 599 unit: def kernel_regularizer() file: tensorflow_privacy/privacy/bolt_on/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 600 unit: def main() file: g3doc/build_docs.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 601 unit: def main() file: research/pate_2017/train_student.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 602 unit: def main() file: research/pate_2017/train_teachers.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 603 unit: def compute_logpr_answered() file: research/pate_2018/core.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 3 id: 604 unit: def compute_rdp_data_independent_threshold() file: research/pate_2018/core.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 605 unit: def main() file: research/pate_2018/core.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 606 unit: def _construct_symbolic_bu() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 607 unit: def main() file: research/pate_2018/smooth_sensitivity.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 608 unit: def call() file: tutorials/bolton_tutorial.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 609 unit: def supports() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2 id: 610 unit: def _compose() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 3 id: 611 unit: def get_epsilon() file: tensorflow_privacy/privacy/analysis/privacy_accountant.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2