"""The catena libraries, in process.

Every function here is the same code the command-line tool runs, and hands
back the same record shapes it writes to stdout — dictionaries rather than
lines of JSON.

    >>> import catena
    >>> chunks = catena.chunk_markdown(markdown, target=512)
    >>> chunks[0]["page"]
    41
"""

from ._catena import (
    __version__,
    canonical_subject,
    chunk_markdown,
    citation_prompt,
    clean_record,
    colophon_prompt,
    clean_underscores,
    compose_subjects,
    count_tokens,
    cue_windows,
    Limited,
    fetch_cover,
    fetch_identifier,
    find_citations,
    fuse_hits,
    identify,
    is_shouting,
    isbn_from_filename,
    isbn_from_text,
    looks_like_footnote_citations,
    looks_like_person,
    merge_citation_reply,
    merge_colophon,
    needs_subject,
    pack_cues,
    parse_identifier,
    parse_subtitles,
    read_colophon,
    record_problems,
    record_severity,
    same_work,
    scrub,
    search_title,
    segment_cues,
    series_of,
    shelve,
    split_collection,
    suggest_author,
    title_case,
    title_in_author,
    valid_isbn,
)

__all__ = [
    "__version__",
    "Limited",
    "canonical_subject",
    "chunk_markdown",
    "citation_prompt",
    "clean_record",
    "colophon_prompt",
    "clean_underscores",
    "compose_subjects",
    "count_tokens",
    "cue_windows",
    "fetch_cover",
    "fetch_identifier",
    "find_citations",
    "fuse_hits",
    "identify",
    "is_shouting",
    "isbn_from_filename",
    "isbn_from_text",
    "looks_like_footnote_citations",
    "looks_like_person",
    "merge_citation_reply",
    "merge_colophon",
    "needs_subject",
    "pack_cues",
    "parse_identifier",
    "parse_subtitles",
    "read_colophon",
    "record_problems",
    "record_severity",
    "same_work",
    "scrub",
    "search_title",
    "segment_cues",
    "series_of",
    "shelve",
    "split_collection",
    "suggest_author",
    "title_case",
    "title_in_author",
    "valid_isbn",
]