The native PyO3 module returns raw dicts via pythonize, but the Python SDK
API expects typed dataclass objects (Document, Page, Metadata, etc.) to be
consistent with the subprocess fallback and test expectations.
Updated wrapper functions in __init__.py to convert native results:
- extract(): wraps dict in Document.from_dict()
- extract_stream(): wraps yielded page dicts in Page.from_dict()
- get_metadata(): wraps dict in Metadata()
- hash(): wraps string in Fingerprint.from_string()
- classify(): wraps dict in Classification()
- search(): wraps yielded match dicts in Match
The native PyO3 entry points (extract, extract_text, extract_stream) were
already implemented with:
- extract: uses extract_pdf + pythonize for PyDict conversion
- extract_text: uses extract_text for plain String return
- extract_stream: uses extract_pdf_streaming with custom StreamIterator
All kwargs parsing with strict validation (unknown kwargs raise TypeError)
was already in place.
Acceptance criteria:
- pdftract.extract() returns Document object with pages/metadata
- pdftract.extract_text() returns plain text string
- pdftract.extract_stream() yields Page objects
- Unknown kwarg raises TypeError
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