SYMBOL INDEX (272 symbols across 25 files)

FILE: baseline_utils.py
  function _get_sequence_name_from_sequence_header (line 60) | def _get_sequence_name_from_sequence_header(s):
  function _get_labels_from_sequence_header (line 70) | def _get_labels_from_sequence_header(s):
  class BlastResult (line 86) | class BlastResult(
    method from_string (line 98) | def from_string(s, ground_truth_lookup):
  class InterproScanResult (line 119) | class InterproScanResult(
    method from_string (line 125) | def from_string(s):
  function load_ground_truth (line 137) | def load_ground_truth(filename):
  function _set_predicted_labels_missing (line 169) | def _set_predicted_labels_missing(row):
  function _fillna (line 177) | def _fillna(df, column_name, value):
  function _blast_row_to_confidence_array (line 192) | def _blast_row_to_confidence_array(
  function load_blast_output (line 205) | def load_blast_output(filename, label_vocab,
  function _pad_ec_label_with_hyphens (line 278) | def _pad_ec_label_with_hyphens(label):
  function limit_set_of_labels (line 286) | def limit_set_of_labels(df, acceptable_labels,
  function limit_labels_for_label_normalizer (line 296) | def limit_labels_for_label_normalizer(
  function load_interproscan_output (line 309) | def load_interproscan_output(

FILE: baseline_utils_test.py
  function _write_to_file (line 35) | def _write_to_file(contents):
  class BaselineUtilsTest (line 42) | class BaselineUtilsTest(parameterized.TestCase):
    method test_get_sequence_name_from_sequence_header (line 56) | def test_get_sequence_name_from_sequence_header(self, header, expected):
    method test_get_labels_from_sequence_header (line 72) | def test_get_labels_from_sequence_header(self, header, expected):
    method test_load_ground_truth (line 76) | def test_load_ground_truth(self):
    method test_blast_row_to_confidence_array (line 130) | def test_blast_row_to_confidence_array(self, input_row, input_label_vo...
    method test_load_blast_output (line 138) | def test_load_blast_output(self):
    method test_limit_set_of_labels (line 186) | def test_limit_set_of_labels(self):
    method test_limit_labels_for_label_normalizer (line 207) | def test_limit_labels_for_label_normalizer(self):
    method test_load_interproscan_output (line 295) | def test_load_interproscan_output(self, interproscan_output,

FILE: colab_evaluation.py
  function read_blast_table (line 32) | def read_blast_table(filename):
  function stats_by_group (line 55) | def stats_by_group(df):
  function get_stats (line 73) | def get_stats(df):
  function apply_threshold_and_return_stats (line 81) | def apply_threshold_and_return_stats(predictions_df,
  function batch_inferences (line 95) | def batch_inferences(iterator, batch_size):
  function batched_inferences_from_files (line 117) | def batched_inferences_from_files(shard_names, batch_size=100):
  function batched_inferences_from_dir (line 129) | def batched_inferences_from_dir(shard_dir_path, batch_size=100):
  function _make_tidy_df_from_seq_names_and_prediction_array (line 135) | def _make_tidy_df_from_seq_names_and_prediction_array(
  function get_normalized_inference_results (line 155) | def get_normalized_inference_results(shard_dir_path,
  function make_tidy_df_from_ground_truth (line 189) | def make_tidy_df_from_ground_truth(ground_truth):
  function merge_predictions_and_ground_truth (line 202) | def merge_predictions_and_ground_truth(predictions_df, ground_truth_df):
  function get_pr_curve_df (line 213) | def get_pr_curve_df(predictions_df,
  function filter_pr_curve (line 259) | def filter_pr_curve(precisions, recalls, thresholds, resolution=1e-4):
  function assign_tp_fp_fn (line 278) | def assign_tp_fp_fn(predictions_df, ground_truth_df, threshold):

FILE: colab_evaluation_test.py
  class ColabEvaluationTest (line 34) | class ColabEvaluationTest(parameterized.TestCase):
    method _generate_random_inferences (line 35) | def _generate_random_inferences(self, n):
    method test_batched_inferences_from_dir (line 51) | def test_batched_inferences_from_dir(self, batch_size, num_examples=100):
    method test_make_tidy_df_from_seq_names_and_prediction_array (line 93) | def test_make_tidy_df_from_seq_names_and_prediction_array(self):
    method test_make_tidy_df_from_ground_truth (line 110) | def test_make_tidy_df_from_ground_truth(self):
    method test_merge_predictions_and_ground_truth (line 123) | def test_merge_predictions_and_ground_truth(self):
    method test_get_pr_curve_df (line 145) | def test_get_pr_curve_df(self):
    method test_assign_tp_fp_fn (line 165) | def test_assign_tp_fp_fn(self):
    method test_apply_threshold_and_return_stats (line 187) | def test_apply_threshold_and_return_stats(self):
    method test_read_blast_table (line 215) | def test_read_blast_table(self):

FILE: evaluation.py
  function normalize_confidences (line 40) | def normalize_confidences(
  function get_ground_truth_multihots (line 76) | def get_ground_truth_multihots(label_sets,
  function get_pr_f1_df_from_arrays (line 89) | def get_pr_f1_df_from_arrays(
  function get_pr_f1_df (line 130) | def get_pr_f1_df(
  function true_false_positive_negative_df (line 175) | def true_false_positive_negative_df(df):
  function multilabel_precision_per_example_label_pair (line 220) | def multilabel_precision_per_example_label_pair(
  function multilabel_recall_per_example_label_pair (line 239) | def multilabel_recall_per_example_label_pair(
  function multilabel_f1_per_example_label_pair (line 258) | def multilabel_f1_per_example_label_pair(
  function normalize_predictions (line 278) | def normalize_predictions(
  function precision_recall_f1 (line 285) | def precision_recall_f1(
  function filter_predictions_to_above_threshold (line 314) | def filter_predictions_to_above_threshold(
  function get_predictions_above_threshold (line 341) | def get_predictions_above_threshold(
  function _family_and_clan_to_just_clan (line 379) | def _family_and_clan_to_just_clan(
  function pfam_label_normalizer_to_lifted_clan (line 408) | def pfam_label_normalizer_to_lifted_clan(
  function convert_pfam_ground_truth_to_lifted_clans (line 416) | def convert_pfam_ground_truth_to_lifted_clans(
  function _ec_label_at_level (line 441) | def _ec_label_at_level(label, level):
  function ec_agreement_for_level (line 452) | def ec_agreement_for_level(df,

FILE: evaluation_test.py
  class _InferrerFixture (line 32) | class _InferrerFixture(object):
    method __init__ (line 35) | def __init__(self, vocab_size):
    method get_activations (line 38) | def get_activations(self, l):
    method get_variable (line 42) | def get_variable(self, _):
  class TestEvaluation (line 46) | class TestEvaluation(parameterized.TestCase):
    method test_normalize_confidences_edge (line 70) | def test_normalize_confidences_edge(self, confidences, vocab, normalized,
    method test_normalize_confidences (line 76) | def test_normalize_confidences(self):
    method test_get_ground_truth_multihots (line 96) | def test_get_ground_truth_multihots(self):
    method test_get_pr_f1_df (line 120) | def test_get_pr_f1_df(self,
    method test_get_pr_f1_df_precision_truncation (line 144) | def test_get_pr_f1_df_precision_truncation(self):
    method test_multilabel_recall_per_example_label_pair (line 239) | def test_multilabel_recall_per_example_label_pair(self, df, expected):
    method test_multilabel_precision_per_example_label_pair (line 318) | def test_multilabel_precision_per_example_label_pair(self, df, expected):
    method test_multilabel_f1_per_example_label_pair (line 323) | def test_multilabel_f1_per_example_label_pair(self):
    method test_precision_recall_f1_integration_test (line 334) | def test_precision_recall_f1_integration_test(self):
    method test_filter_predictions_to_above_threshold (line 398) | def test_filter_predictions_to_above_threshold(self, input_predictions,
    method test_get_predictions_above_threshold (line 428) | def test_get_predictions_above_threshold(self, input_seqs, decision_th...
    method test_pfam_label_normalizer_to_lifted_clan (line 474) | def test_pfam_label_normalizer_to_lifted_clan(self, input_normalizer,
    method test_pfam_label_normalizer_to_lifted_clan_raises_when_wrong_num (line 485) | def test_pfam_label_normalizer_to_lifted_clan_raises_when_wrong_num(se...
    method test_pfam_label_normalizer_to_lifted_clan_raises_when_no_clan (line 491) | def test_pfam_label_normalizer_to_lifted_clan_raises_when_no_clan(self):
    method test_convert_pfam_ground_truth_to_lifted_clans (line 498) | def test_convert_pfam_ground_truth_to_lifted_clans(self):
    method test_ec_agreement_for_level (line 662) | def test_ec_agreement_for_level(self, input_level, input_df, expected_...

FILE: hparams_sets.py
  function _starting_hparams (line 26) | def _starting_hparams():
  function tuned_for_ec (line 42) | def tuned_for_ec():
  function small_test_model (line 65) | def small_test_model():

FILE: inference.py
  function call_module (line 41) | def call_module(module, one_hots, row_lengths, signature):
  function in_graph_inferrer (line 92) | def in_graph_inferrer(sequences,
  function memoized_inferrer (line 131) | def memoized_inferrer(
  class Inferrer (line 153) | class Inferrer(object):
    method __init__ (line 156) | def __init__(
    method __repr__ (line 220) | def __repr__(self):
    method _get_tensor_by_name (line 226) | def _get_tensor_by_name(self, name):
    method _get_activations_for_batch_unmemoized (line 230) | def _get_activations_for_batch_unmemoized(self,
    method _get_activations_for_batch_memoized (line 263) | def _get_activations_for_batch_memoized(self,
    method get_activations (line 269) | def get_activations(self, list_of_seqs, custom_tensor_to_retrieve=None):
    method get_variable (line 323) | def get_variable(self, variable_name):
  function latest_savedmodel_path_from_base_path (line 336) | def latest_savedmodel_path_from_base_path(base_path):
  function predictions_for_df (line 354) | def predictions_for_df(df, inferrer):
  function serialize_inference_result (line 372) | def serialize_inference_result(sequence_name,
  function deserialize_inference_result (line 403) | def deserialize_inference_result(results_b64):
  function parse_shard (line 441) | def parse_shard(shard_path):
  function parse_all_shards (line 459) | def parse_all_shards(shard_dir_path):
  function get_preds_at_or_above_threshold (line 479) | def get_preds_at_or_above_threshold(input_df,

FILE: inference_test.py
  class _InferrerFixture (line 39) | class _InferrerFixture(object):
    method __init__ (line 46) | def __init__(self, activation_rank=1):
    method get_variable (line 55) | def get_variable(self, x):
    method get_activations (line 62) | def get_activations(self, input_seqs):
  class InGraphInferrerTest (line 81) | class InGraphInferrerTest(tf.test.TestCase, parameterized.TestCase):
    method testCanInfer (line 83) | def testCanInfer(self):
  class InferenceLibTest (line 101) | class InferenceLibTest(parameterized.TestCase, tf.test.TestCase):
    method testBatchedInference (line 103) | def testBatchedInference(self):
    method testSortUnsortInference (line 112) | def testSortUnsortInference(self):
    method testStringInput (line 122) | def testStringInput(self):
    method testMemoizedInferrerLoading (line 130) | def testMemoizedInferrerLoading(self):
    method testMemoizedInferenceResults (line 138) | def testMemoizedInferenceResults(self):
    method testGetVariable (line 146) | def testGetVariable(self):
    method test_predictions_for_df (line 151) | def test_predictions_for_df(self):
    method test_serialize_deserialize_inference_result (line 165) | def test_serialize_deserialize_inference_result(self):
    method test_parse_sharded_inference_results (line 178) | def test_parse_sharded_inference_results(self):
    method testGetPredsAboveThreshold (line 250) | def testGetPredsAboveThreshold(self, input_df, expected, threshold):
    method testGetPredsAboveThresholdRaisesOnZeroThreshold (line 258) | def testGetPredsAboveThresholdRaisesOnZeroThreshold(self):

FILE: install_models.py
  function download_models (line 41) | def download_models(model_cache_path,
  function get_description_file (line 58) | def get_description_file(model_cache_path):
  function run (line 66) | def run(install_ensemble, model_cache_path):
  function main (line 83) | def main(_):

FILE: parenthood_bin.py
  function _get_ec_transitive (line 47) | def _get_ec_transitive():
  function _get_go_transitive (line 61) | def _get_go_transitive():
  function get_output_dict (line 72) | def get_output_dict():
  function write_output_dict (line 96) | def write_output_dict(output_dict, output_path):
  function main (line 113) | def main(_):

FILE: parenthood_lib.py
  class GoTerm (line 143) | class GoTerm(
    method from_string (line 166) | def from_string(cls, s):
  function _is_go_attribute_line (line 216) | def _is_go_attribute_line(s):
  function _parse_go_attribute (line 220) | def _parse_go_attribute(s):
  function _get_go_term_from_text (line 225) | def _get_go_term_from_text(s):
  function _yield_terms_for_alt_ids (line 235) | def _yield_terms_for_alt_ids(term):
  function parse_full_go_file (line 263) | def parse_full_go_file(file_contents = None):
  function go_label_to_description (line 287) | def go_label_to_description(
  function _go_term_applicable_labels_should_include_themselves (line 294) | def _go_term_applicable_labels_should_include_themselves(term):
  function transitive_go_parenthood (line 313) | def transitive_go_parenthood(go_terms):
  function _transitive_parenthood (line 356) | def _transitive_parenthood(key,
  function _replace_one_level_up_with_dash_for_ec (line 384) | def _replace_one_level_up_with_dash_for_ec(s):
  function _all_ec_parents_for_label (line 408) | def _all_ec_parents_for_label(label):
  function _get_leaf_node_ec_labels_from_file_contents (line 433) | def _get_leaf_node_ec_labels_from_file_contents(
  function _get_non_leaf_node_ec_labels_from_file_contents (line 473) | def _get_non_leaf_node_ec_labels_from_file_contents(
  function ec_label_to_description (line 508) | def ec_label_to_description(
  function parse_full_ec_file_to_transitive_parenthood (line 539) | def parse_full_ec_file_to_transitive_parenthood(
  function get_applicable_label_dict (line 584) | def get_applicable_label_dict(
  function reverse_map (line 589) | def reverse_map(
  function is_implied_by_something_else (line 619) | def is_implied_by_something_else(
  function _filter_label_set_to_most_specific (line 650) | def _filter_label_set_to_most_specific(
  function filter_labels_to_most_specific (line 669) | def filter_labels_to_most_specific(

FILE: parenthood_lib_test.py
  class ParenthoodLibTest (line 34) | class ParenthoodLibTest(parameterized.TestCase):
    method setUp (line 36) | def setUp(self):
    method test_go_term_from_string (line 125) | def test_go_term_from_string(self, input_text, expected):
    method test_go_term_parsing_integration_test (line 130) | def test_go_term_parsing_integration_test(self):
    method test_transitive_go_parenthood (line 148) | def test_transitive_go_parenthood(self):
    method test_transitive_go_parenthood_with_cycle (line 189) | def test_transitive_go_parenthood_with_cycle(self):
    method test_all_ec_parents_for_term (line 265) | def test_all_ec_parents_for_term(self, label, expected):
    method test_parse_full_ec_file_to_transitive_parenthood_integration_test (line 269) | def test_parse_full_ec_file_to_transitive_parenthood_integration_test(...
    method test_ec_label_to_description (line 315) | def test_ec_label_to_description(self):
    method test_yield_terms_for_alt_ids (line 442) | def test_yield_terms_for_alt_ids(self, input_go_term, expected):
    method test_reverse_map_filters_items (line 447) | def test_reverse_map_filters_items(self):
    method test_is_implied_by_something_else_positive_case (line 454) | def test_is_implied_by_something_else_positive_case(self):
    method test_is_implied_by_something_else_negative_case (line 466) | def test_is_implied_by_something_else_negative_case(self):
    method test_filter_labels_to_most_specific (line 477) | def test_filter_labels_to_most_specific(self):

FILE: protein_dataset.py
  function _map_sequence_to_ints (line 57) | def _map_sequence_to_ints(example, amino_acid_table):
  function _map_labels_to_ints (line 77) | def _map_labels_to_ints(example, protein_class_table):
  function _to_one_hot_sequence (line 98) | def _to_one_hot_sequence(indexed_sequence_tensors):
  function _add_sequence_length (line 128) | def _add_sequence_length(example):
  function _is_sequence_short_enough_for_training (line 133) | def _is_sequence_short_enough_for_training(example):
  function non_batched_dataset (line 138) | def non_batched_dataset(train_dev_or_test,
  function batched_dataset (line 192) | def batched_dataset(input_dataset, batch_size, bucket_boundaries):
  function make_input_fn (line 236) | def make_input_fn(batch_size, data_file_pattern, train_dev_or_test,
  function yield_examples (line 279) | def yield_examples(tfrecord_path):

FILE: protein_dataset_test.py
  function _numpy_one_hot (line 31) | def _numpy_one_hot(x, depth):
  function _dataset_iterator_to_list (line 44) | def _dataset_iterator_to_list(itr, session):
  class ProteinDatasetTest (line 63) | class ProteinDatasetTest(parameterized.TestCase):
    method test_non_padded_dataset (line 65) | def test_non_padded_dataset(self):
    method test_padded_dataset (line 125) | def test_padded_dataset(self):
    method test_yield_examples (line 171) | def test_yield_examples(self):

FILE: protein_model.py
  function _f1_score (line 35) | def _f1_score(labels, predictions):
  function _mean_examplewise_f1_score (line 44) | def _mean_examplewise_f1_score(labels, predictions):
  function _custom_recall_at_k (line 79) | def _custom_recall_at_k(labels_as_multi_hot, predictions, k):
  function _make_evaluation_metrics (line 127) | def _make_evaluation_metrics(labels, predictions, num_output_classes, hp...
  function _set_padding_to_sentinel (line 174) | def _set_padding_to_sentinel(padded_representations, sequence_lengths,
  function _make_per_sequence_features (line 216) | def _make_per_sequence_features(per_location_representations, raw_features,
  function _convert_representation_to_prediction_ops (line 243) | def _convert_representation_to_prediction_ops(representation, raw_features,
  function _make_representation (line 275) | def _make_representation(features, hparams, mode):
  function _make_prediction_ops (line 311) | def _make_prediction_ops(features, hparams, mode, label_vocab):
  function _batch_norm (line 331) | def _batch_norm(features, is_training):
  function _conv_layer (line 335) | def _conv_layer(sequence_features, sequence_lengths, num_units, dilation...
  function _residual_block (line 354) | def _residual_block(sequence_features, sequence_lengths, hparams, layer_...
  function _indices_to_multihot (line 391) | def _indices_to_multihot(indices, vocab_size):
  function _make_loss (line 421) | def _make_loss(predictions_for_loss, labels, num_output_classes):
  function _make_train_op (line 435) | def _make_train_op(loss, hparams):
  function make_model_fn (line 459) | def make_model_fn(label_vocab, hparams):

FILE: protein_model_test.py
  class ProteinModelTest (line 31) | class ProteinModelTest(parameterized.TestCase):
    method testF1Score (line 33) | def testF1Score(self):
    method testMeanExampleWiseF1Score (line 47) | def testMeanExampleWiseF1Score(self):
    method testRecallAtK (line 63) | def testRecallAtK(self):
    method testSetPaddingToSentinel (line 128) | def testSetPaddingToSentinel(self, padded_representations, sequence_le...
    method testIndicesToMultiHot (line 148) | def testIndicesToMultiHot(self, input_array, vocab_size, expected):

FILE: proteinfer.py
  function _num_decimal_places (line 77) | def _num_decimal_places(f):
  function _gcs_path_to_relative_unzipped_path (line 83) | def _gcs_path_to_relative_unzipped_path(p):
  function _get_inferrer_paths (line 89) | def _get_inferrer_paths(model_urls,
  function load_models (line 98) | def load_models(model_cache_path, num_ensemble_elements):
  function _assert_fasta_parsable (line 162) | def _assert_fasta_parsable(input_text):
  function parse_input_to_text (line 177) | def parse_input_to_text(input_fasta_path):
  function input_text_to_df (line 197) | def input_text_to_df(input_text):
  function perform_inference (line 207) | def perform_inference(input_df, models,
  function _sort_df_multiple_columns (line 235) | def _sort_df_multiple_columns(df, key):
  function order_df_for_output (line 254) | def order_df_for_output(predictions_df):
  function _format_float_confidence_for_output (line 305) | def _format_float_confidence_for_output(input_float,
  function format_df_for_output (line 311) | def format_df_for_output(predictions_df,
  function write_output (line 338) | def write_output(predictions_df, output_path):
  function run (line 345) | def run(input_text, models, reporting_threshold,
  function load_assets_and_run (line 376) | def load_assets_and_run(input_fasta_path, output_path,
  function main (line 405) | def main(_):

FILE: proteinfer_test.py
  class ProteinferTest (line 26) | class ProteinferTest(parameterized.TestCase):
    method test_gcs_path_to_relative_unzipped_path (line 28) | def test_gcs_path_to_relative_unzipped_path(self):
    method test_parse_input (line 34) | def test_parse_input(self):
    method test_parse_input_malformed_fasta (line 49) | def test_parse_input_malformed_fasta(self):
    method test_format_output_adds_description_and_formats_float_confidence (line 55) | def test_format_output_adds_description_and_formats_float_confidence(s...
    method test_format_float_confidence (line 83) | def test_format_float_confidence(self, input_confidence, num_decimal_p...
    method test_load_models_raises_on_model_missing_no_ensemble (line 89) | def test_load_models_raises_on_model_missing_no_ensemble(self):
    method test_load_models_raises_on_model_missing_with_ensemble (line 103) | def test_load_models_raises_on_model_missing_with_ensemble(self):
    method test_order_df_for_output (line 202) | def test_order_df_for_output(self, input_df, expected):

FILE: test_util.py
  function model_testdata_path (line 31) | def model_testdata_path():
  function savedmodel_path (line 36) | def savedmodel_path():
  function assert_dataframes_equal (line 40) | def assert_dataframes_equal(abseil_testcase_instance,

FILE: test_util_test.py
  class TestUtilTest (line 31) | class TestUtilTest(parameterized.TestCase):
    method test_assert_dataframes_equal_no_error (line 113) | def test_assert_dataframes_equal_no_error(self,
    method test_assert_dataframes_equal_error (line 176) | def test_assert_dataframes_equal_error(self, df1, df2, order_by_column...
    method test_assert_dataframes_equal_nan_equal_nan (line 180) | def test_assert_dataframes_equal_nan_equal_nan(self):
    method test_assert_dataframes_equal_nan_raises (line 185) | def test_assert_dataframes_equal_nan_raises(self):

FILE: train.py
  function _make_estimator (line 70) | def _make_estimator(hparams, label_vocab, output_dir):
  function get_serving_input_fn (line 94) | def get_serving_input_fn():
  function _make_estimator_and_inputs (line 126) | def _make_estimator_and_inputs(hparams, label_vocab, data_base_path, out...
  function get_hparams (line 178) | def get_hparams(hparams_set_name):
  function parse_label_vocab (line 191) | def parse_label_vocab(label_vocab_path):
  function train (line 216) | def train(data_base_path, output_dir, label_vocab_path, hparams_set_name,
  function main (line 250) | def main(_):

FILE: train_test.py
  class TrainTest (line 35) | class TrainTest(parameterized.TestCase):
    method setUp (line 37) | def setUp(self):
    method test_parse_label_vocab (line 44) | def test_parse_label_vocab(self):
    method test_train_gives_non_nan_loss (line 55) | def test_train_gives_non_nan_loss(self):

FILE: utils.py
  function residues_to_indices (line 117) | def residues_to_indices(amino_acid_residues):
  function normalize_sequence_to_blosum_characters (line 121) | def normalize_sequence_to_blosum_characters(seq):
  function _build_one_hot_encodings (line 138) | def _build_one_hot_encodings():
  function residues_to_one_hot (line 169) | def residues_to_one_hot(amino_acid_residues):
  function fasta_indexer (line 197) | def fasta_indexer():
  function fasta_encoder (line 208) | def fasta_encoder():
  function in_graph_residues_to_onehot (line 220) | def in_graph_residues_to_onehot(residues):
  function calculate_bucket_batch_sizes (line 244) | def calculate_bucket_batch_sizes(bucket_boundaries, max_expected_sequenc...
  function batch_iterable (line 281) | def batch_iterable(iterable, batch_size):
  function pad_one_hot (line 314) | def pad_one_hot(one_hot, length):
  function make_padded_np_array (line 323) | def make_padded_np_array(ragged_arrays):
  function absolute_paths_of_files_in_dir (line 341) | def absolute_paths_of_files_in_dir(dir_path):
  function load_gz_json (line 346) | def load_gz_json(path):
  function fetch_oss_pretrained_models (line 352) | def fetch_oss_pretrained_models(

FILE: utils_test.py
  class TestTensorUtils (line 32) | class TestTensorUtils(parameterized.TestCase):
    method testBucketSize (line 34) | def testBucketSize(self):
    method testBatchIterable (line 54) | def testBatchIterable(self, input_iterable, batch_size, expected):
    method testSparseToOneHot (line 59) | def testSparseToOneHot(self):
    method testPadOneHotSameLength (line 100) | def testPadOneHotSameLength(self, input_one_hot, pad_length, expected):
    method test_absolute_paths_of_files_in_dir (line 107) | def test_absolute_paths_of_files_in_dir(self):