id: 1
unit: def get_embedding()
file: experiments/legacy/backend/embeddings.py
start line: 0
end line: 0
size: 36 LOC
McCabe index: 12
number of parameters: 4

id: 2
unit: def insert_dp()
file: experiments/google/cloud/ml/applied/embeddings/search.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 3

id: 3
unit: def _rank()
file: experiments/google/cloud/ml/applied/categories/category.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 8
number of parameters: 2

id: 4
unit: def _rank()
file: experiments/legacy/backend/category.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 6
number of parameters: 2

id: 5
unit: def join_attributes_desc()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 3
number of parameters: 1

id: 6
unit: def join_categories()
file: experiments/google/cloud/ml/applied/categories/category.py
start line: 0
end line: 0
size: 22 LOC
McCabe index: 6
number of parameters: 1

id: 7
unit: def join_categories()
file: experiments/legacy/backend/category.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 3

id: 8
unit: def retrieve()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 6

id: 9
unit: def image_to_attributes()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 1

id: 10
unit: def generate_attributes()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 3
number of parameters: 2

id: 11
unit: def remove_dp()
file: experiments/google/cloud/ml/applied/embeddings/search.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 1

id: 12
unit: def retrieve()
file: experiments/legacy/backend/category.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 5

id: 13
unit: def get_nn()
file: experiments/legacy/backend/nearest_neighbors.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 14
unit: def content_generation()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 15
unit: def image_to_product_description()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 16
unit: def generate_marketing_copy()
file: experiments/legacy/backend/marketing.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 17
unit: def join_attributes_desc()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 18
unit: def generate_prompt()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 19
unit: def retrieve_and_rank()
file: experiments/legacy/backend/category.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 5

id: 20
unit: def embed()
file: experiments/legacy/backend/embeddings.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 21
unit: def upsert_dp()
file: experiments/google/cloud/ml/applied/embeddings/search.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 22
unit: def __init__()
file: experiments/google/cloud/ml/applied/embeddings/embeddings.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 23
unit: def delete_dp()
file: experiments/google/cloud/ml/applied/embeddings/search.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 24
unit: def generate_marketing_copy()
file: experiments/google/cloud/ml/applied/marketing/marketing.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 25
unit: def get_llm()
file: experiments/google/cloud/ml/applied/utils/utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 26
unit: def rank()
file: experiments/legacy/backend/category.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 27
unit: def __init__()
file: experiments/legacy/backend/embeddings.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 4

id: 28
unit: def suggest_attributes()
file: experiments/legacy/backend/api.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 29
unit: def generate_prompt()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 30
unit: def retrieve_and_generate_attributes()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 31
unit: def parse_project_attributes_from_dict()
file: experiments/google/cloud/ml/applied/model/domain_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 32
unit: def parse_list_to_dict()
file: experiments/google/cloud/ml/applied/model/domain_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 33
unit: def rank()
file: experiments/google/cloud/ml/applied/categories/category.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 34
unit: def suggest_categories()
file: experiments/legacy/backend/api.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 35
unit: def parse_answer()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 36
unit: def retrieve()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 37
unit: def parse_answer()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 38
unit: def retrieve_and_generate_attributes()
file: experiments/google/cloud/ml/applied/attributes/attributes.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 39
unit: def attribute_values_to_dict()
file: experiments/google/cloud/ml/applied/model/domain_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 40
unit: def dict_to_attribute_values()
file: experiments/google/cloud/ml/applied/model/domain_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 41
unit: def get_vector_search_index_client()
file: experiments/google/cloud/ml/applied/utils/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 42
unit: def retrieve()
file: experiments/google/cloud/ml/applied/categories/category.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 43
unit: def retrieve_and_rank()
file: experiments/google/cloud/ml/applied/categories/category.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 44
unit: def get_embedding()
file: experiments/google/cloud/ml/applied/embeddings/embeddings.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 45
unit: def embed()
file: experiments/google/cloud/ml/applied/embeddings/embeddings.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 46
unit: def get_image_bytes_from_url()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 47
unit: def get_url_from_gcs()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 48
unit: def get_nn()
file: experiments/google/cloud/ml/applied/knn/nearest_neighbors.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 49
unit: def get_llm()
file: experiments/legacy/backend/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 50
unit: def generate_marketing_copy()
file: experiments/legacy/backend/api.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 51
unit: def generate_attributes()
file: experiments/legacy/backend/attributes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 52
unit: def get_gemini_pro_vision()
file: experiments/google/cloud/ml/applied/utils/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 53
unit: def load_image_from_url()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 54
unit: def from_url()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 55
unit: def from_gsc_uri()
file: experiments/google/cloud/ml/applied/images/image_to_text.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 56
unit: def get_client()
file: experiments/legacy/backend/embeddings.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 57
unit: def get_bq_client()
file: experiments/legacy/backend/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 58
unit: def get_bq_client()
file: experiments/google/cloud/ml/applied/utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 59
unit: def value()
file: experiments/google/cloud/ml/applied/config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 60
unit: def get_client()
file: experiments/google/cloud/ml/applied/embeddings/embeddings.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1