🔍 Code Extractor

Search Components

Full-Text: Fast keyword matching | Semantic: AI-powered understanding of intent (finds similar concepts)

Search Results for "md5"

Found 7 matching component(s)

  • class PDFGenerator_v1

    PDF document generation for reports and controlled documents This class provides methods to generate PDF documents from scratch, including audit reports, document covers, and certificate pages.

    File: /tf/active/vicechatdev/CDocs/utils/pdf_utils.py

    class pdfgenerator

  • class DynamicSchemaDiscovery

    Discovers database schema from live database connection

    File: /tf/active/vicechatdev/full_smartstat/dynamic_schema_discovery.py

    class dynamicschemadiscovery

  • class HashableJSON

    A JSON encoder extension that generates hashable string representations for a wide variety of Python objects, including those not normally JSON-serializable like sets, numpy arrays, and pandas DataFrames.

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

    json hashing serialization memoization caching

  • class DocumentDownloader

    A client class for downloading documents (primarily PDFs) from various sources, managing download caching, respecting rate limits per domain, and processing documents using llmsherpa for content extraction.

    File: /tf/active/vicechatdev/QA_updater/data_access/document_downloader.py

    document-download pdf-processing rate-limiting caching llmsherpa

  • function calculate_file_hash_v1

    Calculates the MD5 hash of a file by reading it in chunks to handle large files efficiently.

    File: /tf/active/vicechatdev/mailsearch/enhanced_document_comparison.py

    file-processing hashing md5 checksum file-integrity

  • function calculate_file_hash

    Calculates the MD5 hash of a file by reading it in chunks to handle large files efficiently.

    File: /tf/active/vicechatdev/mailsearch/compare_documents.py

    file-processing hashing md5 checksum file-integrity

  • class HybridResponseHandler

    Orchestrates the complete workflow for generating hybrid PDF documents that combine LLM text responses with dynamically generated graphics (charts, diagrams, illustrations).

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

    pdf-generation hybrid-content graphics-generation async document-assembly

Search Examples