id: 1 unit: def preprocess_rag() file: use-cases/rag-pipeline/data-preprocessing/src/preprocessing_rag.py start line: 0 end line: 0 size: 65 LOC McCabe index: 1 number of parameters: 0 id: 2 unit: def preprocess_finetuning() file: use-cases/model-fine-tuning-pipeline/data-processing/ray/src/preprocessing_finetuning.py start line: 0 end line: 0 size: 64 LOC McCabe index: 1 number of parameters: 0 id: 3 unit: def generate_content() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 62 LOC McCabe index: 10 number of parameters: 1 id: 4 unit: def prep_context() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 47 LOC McCabe index: 2 number of parameters: 0 id: 5 unit: def generate_multimodal_embeddings() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 42 LOC McCabe index: 12 number of parameters: 0 id: 6 unit: def predict() file: use-cases/inferencing/batch-inference/src/run_batch_predictions.py start line: 0 end line: 0 size: 40 LOC McCabe index: 4 number of parameters: 1 id: 7 unit: def process_rag_input() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 39 LOC McCabe index: 3 number of parameters: 2 id: 8 unit: def generate_image_embeddings() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 36 LOC McCabe index: 10 number of parameters: 0 id: 9 unit: def run_remote() file: modules/python/src/datapreprocessing/ray_utils.py start line: 0 end line: 0 size: 31 LOC McCabe index: 6 number of parameters: 1 id: 10 unit: def predict() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 30 LOC McCabe index: 4 number of parameters: 1 id: 11 unit: def query_instruction_tuned_gemma() file: use-cases/rag-pipeline/backend/src/rerank.py start line: 0 end line: 0 size: 29 LOC McCabe index: 5 number of parameters: 1 id: 12 unit: def configure_cloud_trace() file: use-cases/rag-pipeline/backend/src/backend_service.py start line: 0 end line: 0 size: 28 LOC McCabe index: 7 number of parameters: 1 id: 13 unit: def populate_table() file: use-cases/rag-pipeline/alloy-db-setup/src/db_setup.py start line: 0 end line: 0 size: 27 LOC McCabe index: 5 number of parameters: 0 id: 14 unit: def generate_qa() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 26 LOC McCabe index: 6 number of parameters: 2 id: 15 unit: def get_image_embeddings() file: use-cases/rag-pipeline/backend/src/generate_embeddings.py start line: 0 end line: 0 size: 26 LOC McCabe index: 7 number of parameters: 1 id: 16 unit: def get_multimodal_embeddings() file: use-cases/rag-pipeline/backend/src/generate_embeddings.py start line: 0 end line: 0 size: 26 LOC McCabe index: 6 number of parameters: 2 id: 17 unit: def calculate_accuracy() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 25 LOC McCabe index: 2 number of parameters: 1 id: 18 unit: def get_text_embeddings() file: use-cases/rag-pipeline/backend/src/generate_embeddings.py start line: 0 end line: 0 size: 25 LOC McCabe index: 6 number of parameters: 1 id: 19 unit: def extract_product_details() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 24 LOC McCabe index: 11 number of parameters: 1 id: 20 unit: def initialize_database() file: use-cases/rag-pipeline/alloy-db-setup/src/db_setup.py start line: 0 end line: 0 size: 24 LOC McCabe index: 2 number of parameters: 0 id: 21 unit: def generate_text_embeddings() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 23 LOC McCabe index: 6 number of parameters: 0 id: 22 unit: def train_validate_test_split() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 1 id: 23 unit: def prep_product_desc() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 20 LOC McCabe index: 6 number of parameters: 2 id: 24 unit: def __init__() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 20 LOC McCabe index: 1 number of parameters: 1 id: 25 unit: def parse_attributes() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 19 LOC McCabe index: 9 number of parameters: 2 id: 26 unit: def __getattr__() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/openai_credentials_refresher.py start line: 0 end line: 0 size: 19 LOC McCabe index: 4 number of parameters: 2 id: 27 unit: def get_current_node_id_and_rank() file: use-cases/model-fine-tuning-pipeline/fine-tuning/pytorch/src/fine_tune.py start line: 0 end line: 0 size: 19 LOC McCabe index: 2 number of parameters: 0 id: 28 unit: def extract_product_names() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 18 LOC McCabe index: 10 number of parameters: 2 id: 29 unit: def create_alloydb_engine() file: use-cases/rag-pipeline/backend/src/alloydb_connect.py start line: 0 end line: 0 size: 18 LOC McCabe index: 1 number of parameters: 2 id: 30 unit: def data_prep() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 1 id: 31 unit: def process_input() file: use-cases/rag-pipeline/frontend/src/interface.py start line: 0 end line: 0 size: 16 LOC McCabe index: 10 number of parameters: 2 id: 32 unit: def download_image_from_gcs() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 1 id: 33 unit: def get_embeddings() file: use-cases/rag-pipeline/backend/src/generate_embeddings.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 2 id: 34 unit: def test1() file: use-cases/inferencing/benchmark/src/tasks.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 35 unit: def test2() file: use-cases/inferencing/benchmark/src/tasks.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 36 unit: def prep_cat() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 13 LOC McCabe index: 5 number of parameters: 2 id: 37 unit: def __init__() file: modules/python/src/datapreprocessing/ray_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 38 unit: def __init__() file: use-cases/inferencing/batch-inference/src/run_batch_predictions.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 39 unit: def getconn() file: use-cases/rag-pipeline/alloy-db-setup/src/alloydb_connect.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 40 unit: def update_dataframe() file: modules/python/src/datapreprocessing/dataprep.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 1 id: 41 unit: def get_multimodal_embedding() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 2 id: 42 unit: def get_text_embedding() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 43 unit: def get_image_embedding() file: use-cases/rag-pipeline/embedding-models/multimodal-embedding/src/blip2_server.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 44 unit: def download_image() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 45 unit: def invoke_process_data() file: modules/python/src/datapreprocessing/ray_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 46 unit: def split_dataframe() file: modules/python/src/datapreprocessing/dataprep.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 47 unit: def __init__() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/openai_credentials_refresher.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 48 unit: def find_matching_products() file: use-cases/rag-pipeline/backend/src/semantic_search.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 49 unit: def create_embeddings_index() file: use-cases/rag-pipeline/alloy-db-setup/src/table.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 50 unit: def get_product_image() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 51 unit: def process_data() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 52 unit: def __init__() file: modules/python/src/datapreprocessing/dataprep.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 53 unit: def formatting_prompts_func() file: use-cases/model-fine-tuning-pipeline/fine-tuning/pytorch/src/fine_tune.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 54 unit: def prompt_generation() file: use-cases/rag-pipeline/backend/src/prompt_helper.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 55 unit: def filter_low_value_count_rows() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 56 unit: def evaluate() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 57 unit: def validate_gcs_uri() file: use-cases/rag-pipeline/frontend/src/interface.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 58 unit: def reformat() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 59 unit: def load_raw_data() file: modules/python/src/datapreprocessing/dataloader.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 60 unit: def graceful_shutdown() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 61 unit: def graceful_shutdown() file: use-cases/model-fine-tuning-pipeline/data-processing/ray/src/preprocessing_finetuning.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 62 unit: def graceful_shutdown() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 63 unit: def graceful_shutdown() file: use-cases/model-fine-tuning-pipeline/fine-tuning/pytorch/src/fine_tune.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 64 unit: def graceful_shutdown() file: use-cases/rag-pipeline/data-preprocessing/src/preprocessing_rag.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 65 unit: def get_alloydb_engine() file: use-cases/rag-pipeline/backend/src/backend_service.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 66 unit: def grant_permissions() file: use-cases/rag-pipeline/alloy-db-setup/src/database.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 67 unit: def graceful_shutdown() file: use-cases/inferencing/batch-inference/src/run_batch_predictions.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 68 unit: def graceful_shutdown() file: use-cases/inferencing/benchmark/src/tasks.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 69 unit: def __init__() file: modules/python/src/datapreprocessing/dataloader.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 70 unit: def count_no_products_prediction() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 71 unit: def create() file: use-cases/rag-pipeline/alloy-db-setup/src/database.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 72 unit: def init_connection_pool() file: use-cases/rag-pipeline/alloy-db-setup/src/alloydb_connect.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 73 unit: def batchType() file: use-cases/inferencing/batch-inference/src/run_batch_predictions.py start line: 0 end line: 0 size: 3 LOC McCabe index: 3 number of parameters: 1 id: 74 unit: def __init__() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 75 unit: def extract_url() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 76 unit: def __init__() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 77 unit: def filter_low_value_count_rows() file: modules/python/src/datapreprocessing/datacleaner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 78 unit: def func_not_found() file: modules/python/src/datapreprocessing/ray_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 79 unit: def generate_prompt() file: use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 80 unit: def count_tp_fp() file: use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 81 unit: def validate_text() file: 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