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Found 34 matching component(s)

  • function validate_and_alternatives

    Validates whether a given keyword is a valid chemical compound, biochemical concept, or drug-related term using GPT-4, and returns alternative names/synonyms if valid.

    File: /tf/active/vicechatdev/offline_parser_docstore.py

    validation chemistry biochemistry drug-research llm
  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

    class oneco_hybrid_rag
  • class OneCo_hybrid_RAG_v1

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py

    class oneco_hybrid_rag
  • function create_data_quality_dashboard

    Creates an interactive command-line dashboard for analyzing data quality issues in treatment timing data, specifically focusing on treatments administered outside of flock lifecycle dates.

    File: /tf/active/vicechatdev/data_quality_dashboard.py

    data-quality dashboard interactive menu-driven timing-analysis
  • function analyze_problematic_products

    Analyzes and prints statistical information about products involved in severe timing issues, including product frequency counts and their associated diagnostic classes.

    File: /tf/active/vicechatdev/data_quality_dashboard.py

    data-analysis healthcare medical-products timing-issues diagnostic-analysis
  • class OneCo_hybrid_RAG_v2

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

    class oneco_hybrid_rag
  • function get_instruction_templates

    Flask API endpoint that returns a dictionary of predefined instruction templates for different document types including SOPs, work instructions, quality forms, and document comparison guidelines.

    File: /tf/active/vicechatdev/docchat/app.py

    flask api endpoint templates instructions
  • class ContractDataExtractor

    Extract structured data from legal contracts using LLM analysis

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    class contractdataextractor
  • function test_european_with_thousands

    A unit test function that validates the smart_read_csv function's ability to correctly parse European-formatted CSV files with thousand separators (dots) and decimal commas.

    File: /tf/active/vicechatdev/vice_ai/test_regional_formats.py

    testing unit-test csv-parsing european-format number-formatting
  • function test_us_with_thousands

    A unit test function that validates the smart_read_csv function's ability to correctly parse US-formatted CSV files containing numbers with thousand separators (commas) and decimal points.

    File: /tf/active/vicechatdev/vice_ai/test_regional_formats.py

    testing unit-test csv-parsing data-validation number-formatting
  • function create_test_dataset

    Creates a test CSV dataset with sample product sales data across different regions and months, saving it to a temporary file.

    File: /tf/active/vicechatdev/vice_ai/test_integration.py

    testing test-data csv dataset-generation synthetic-data
  • class OneCo_hybrid_RAG_v3

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/vice_ai/hybrid_rag_engine.py

    class oneco_hybrid_rag
  • class DocumentDashboard

    Dashboard for viewing and managing controlled documents.

    File: /tf/active/vicechatdev/CDocs/ui/document_dashboard.py

    class documentdashboard
  • function get_all_dbo_product

    Queries a Neo4j graph database to retrieve all nodes labeled as 'dbo_Product' with a configurable limit on the number of results returned.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database query product database
  • function get_dbo_product_by_id

    Retrieves a single dbo_Product node from a Neo4j graph database by its unique ID.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database database-query product-retrieval cypher
  • function get_dbo_product_by_uid

    Retrieves a single dbo_Product node from a Neo4j graph database by matching its unique identifier (UID).

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database database-query product-retrieval cypher
  • function create_dbo_product

    Creates a new dbo_Product node in a Neo4j graph database with the specified properties and returns the created node.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database database create insert
  • function get_dbo_treatments_with_references_product_dbo_product

    Retrieves dbo_Product nodes from a Neo4j graph database that are connected to a specific dbo_Treatments node via a REFERENCES_PRODUCT relationship.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database cypher-query database-query relationship-traversal
  • function create_references_product_relationship

    Creates a REFERENCES_PRODUCT relationship in a Neo4j graph database between a dbo_Treatments node and a dbo_Product node, with optional properties on the relationship.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database relationship-creation cypher-query database
  • function cartesian_product

    Computes the Cartesian product of multiple 1D arrays, returning expanded array views for each dimension with optional flattening and copying.

    File: /tf/active/vicechatdev/patches/util.py

    cartesian-product numpy array-operations combinatorics grid-generation
  • function cross_index

    Efficiently indexes into a Cartesian product of iterables without materializing the full product, using a linear index to retrieve the corresponding tuple of values.

    File: /tf/active/vicechatdev/patches/util.py

    cartesian-product indexing combinatorics memory-efficient itertools-alternative
  • function expand_grid_coords

    Expands coordinates along a specified dimension of a gridded dataset into an N-dimensional array that matches the full dimensionality of the dataset.

    File: /tf/active/vicechatdev/patches/util.py

    grid coordinates broadcasting multidimensional cartesian-product
  • class DynamicMap

    A DynamicMap is a type of HoloMap where the elements are dynamically generated by a callable. The callable is invoked with values associated with the key dimensions or with values supplied by stream parameters.

    File: /tf/active/vicechatdev/patches/spaces.py

    class dynamicmap
  • class GridSpace

    GridSpace is a container class for organizing elements in a 1D or 2D grid structure with floating-point keys, ensuring all contained elements are of the same type.

    File: /tf/active/vicechatdev/patches/spaces.py

    grid layout container mapping 2D-grid
  • class TestUKExtractor

    Unit test class for testing the UKExtractor class, which extracts structured data from UK invoices including VAT numbers, dates, amounts, and line items.

    File: /tf/active/vicechatdev/invoice_extraction/tests/test_extractors.py

    unit-test invoice-extraction uk-invoices vat-validation date-parsing
  • class TestAUExtractor

    Unit test class for testing the AUExtractor class, which extracts data from Australian invoices including ABN, GST, and payment details.

    File: /tf/active/vicechatdev/invoice_extraction/tests/test_extractors.py

    unit-test invoice-extraction australian-invoices ABN-formatting GST-handling
  • class UKExtractor

    UK-specific invoice data extractor.

    File: /tf/active/vicechatdev/invoice_extraction/extractors/uk_extractor.py

    class ukextractor
  • class OneCo_hybrid_RAG_v4

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/datacapture_backup_16072025/OneCo_hybrid_RAG.py

    class oneco_hybrid_rag
  • class OneCo_hybrid_RAG_v5

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/data_capture_backup_18072025/OneCo_hybrid_RAG.py

    class oneco_hybrid_rag
  • class DocumentDashboard_v1

    Dashboard for viewing and managing controlled documents.

    File: /tf/active/vicechatdev/CDocs single class/ui/document_dashboard.py

    class documentdashboard
  • class Zebra_Label

    Used to build a ZPL2 label and send a print commandline to a specified printer on a specified server. Notes ----- all dimensions are given in millimeters and automatically converted to printer dot units. Parameters ---------- height : int height of the label in mm. width : int width of the label in mm. dpmm : int dots per millimeter, 8.0 for 203 dpi, 12 for 300 dpi. server : str The server on which to print. queue : str The printer to print on. Attributes ---------- height : int height of the label in mm. width : int width of the label in mm. dpmm : int dots per millimeter, 8.0 for 203 dpi, 12 for 300 dpi. server : str The server on which to print. queue : str The printer to print on. code : str ZPL code string, each function adds to this and this is what is eventually send to the printer. graph : py2neo.Graph The connection to the database

    File: /tf/active/vicechatdev/resources/printers.py

    class zebra_label
  • class print_client

    A class that generates formatted print messages for different types of laboratory objects (Parblock, Organ, Study, Slide, Reagent) by querying a Neo4j graph database and building a pipe-delimited message string.

    File: /tf/active/vicechatdev/resources/printclient.py

    printing label-generation neo4j graph-database laboratory
  • function demo_hybrid_response

    Demonstrates end-to-end hybrid response processing by converting an LLM response containing text and graphics placeholders into a formatted PDF document.

    File: /tf/active/vicechatdev/e-ink-llm/demo_hybrid_mode.py

    demo hybrid-response pdf-generation graphics-processing async
  • function test_compact_formatter

    A test function that demonstrates the CompactResponseFormatter's ability to compress verbose LLM responses by converting a lengthy mathematical explanation into a more compact format.

    File: /tf/active/vicechatdev/e-ink-llm/test_improvements.py

    testing unit-test formatter compression text-processing

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