Compare commits
+1
-1
@@ -1,6 +1,6 @@
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{
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"name": "@firecrawl/pdf-inspector",
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"version": "1.4.0",
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"version": "1.8.3",
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"description": "Fast PDF classification and text extraction. Detect text-based vs scanned PDFs, extract text by region with quality checks. Native Rust performance via napi-rs.",
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"main": "index.js",
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"types": "index.d.ts",
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+239
-3
@@ -99,6 +99,13 @@ pub struct PageRegionTexts {
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pub regions: Vec<RegionText>,
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}
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/// Vector-grid detection result compatible with `extractTablesWithStructure*`.
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#[napi(object)]
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pub struct VectorGridDetectionJs {
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pub structure_tokens: Vec<String>,
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pub cell_bboxes: Vec<Vec<f64>>,
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}
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// ---------------------------------------------------------------------------
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// Helpers
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// ---------------------------------------------------------------------------
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@@ -317,6 +324,236 @@ pub fn extract_tables_in_regions(
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})
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}
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/// Detect a vector ruled-line / rectangle grid inside one page region.
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///
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/// Returns TSR-compatible structure tokens plus crop-pixel cell bboxes, or
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/// `null` when the region does not contain a valid vector grid.
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///
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/// `pageIdx` is 0-indexed. `regionPdfPtBbox` is `[x1,y1,x2,y2]` in PDF
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/// points with top-left origin. `renderDpi` is the DPI of the crop image that
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/// will consume the returned cell bboxes.
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#[napi]
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pub fn detect_vector_grid_in_region(
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buffer: Buffer,
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page_idx: u32,
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region_pdf_pt_bbox: Vec<f64>,
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render_dpi: f64,
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) -> Result<Option<VectorGridDetectionJs>> {
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let bytes: Vec<u8> = buffer.to_vec();
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let region = if region_pdf_pt_bbox.len() == 4 {
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[
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region_pdf_pt_bbox[0] as f32,
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region_pdf_pt_bbox[1] as f32,
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region_pdf_pt_bbox[2] as f32,
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region_pdf_pt_bbox[3] as f32,
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]
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} else {
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[0.0, 0.0, 0.0, 0.0]
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};
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catch_panic("detect_vector_grid_in_region", move || {
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let result = pdf_inspector::detect_vector_grid_in_region_mem(
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&bytes,
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page_idx,
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region,
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render_dpi as f32,
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)
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.map_err(|e| to_napi_err(e, "detect_vector_grid_in_region"))?;
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Ok(result.map(|r| VectorGridDetectionJs {
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structure_tokens: r.structure_tokens,
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cell_bboxes: r
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.cell_bboxes
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.into_iter()
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.map(|bbox| bbox.into_iter().map(|v| v as f64).collect())
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.collect(),
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}))
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})
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}
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/// One cropped table region plus its raw structure-recovery output, for
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/// `extractTablesWithStructure`.
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///
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/// `structureTokens` and `cellBboxes` are typically produced by an external
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/// table-structure recognition model (e.g. SLANet on PaddleOCR) running on
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/// a rendered crop of the page. pdf-inspector uses the structure to lay out
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/// the cells and pulls the cell text from the native PDF — no OCR involved.
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#[napi(object)]
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pub struct TsrTableInputJs {
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/// 0-indexed page number where the crop was taken from.
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pub page: u32,
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/// Crop bbox on the page, `[x1, y1, x2, y2]` in PDF points with
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/// top-left origin.
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pub crop_pdf_pt_bbox: Vec<f64>,
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/// DPI the crop image was rendered at (e.g. `200.0`).
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pub render_dpi: f64,
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/// Raw structure tokens emitted by the TSR model, in document order.
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pub structure_tokens: Vec<String>,
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/// One bbox per cell (in document order). May be 4-element
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/// `[x1,y1,x2,y2]` or 8-element 4-corner polygon, in crop image-pixel
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/// space.
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pub cell_bboxes: Vec<Vec<f64>>,
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}
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/// Extract markdown tables using externally-supplied structure recovery.
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///
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/// For each input, pairs structure tokens with cell bboxes (rowspan/colspan
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/// aware), converts each cell bbox from crop image-pixels into page PDF
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/// points, pulls the cell's text from the native PDF, and emits a markdown
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/// pipe-table.
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///
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/// Returns one markdown string per input, in input order.
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#[napi]
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pub fn extract_tables_with_structure(
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buffer: Buffer,
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inputs: Vec<TsrTableInputJs>,
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) -> Result<Vec<String>> {
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let bytes: Vec<u8> = buffer.to_vec();
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let parsed = parse_tsr_inputs(&inputs);
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catch_panic("extract_tables_with_structure", move || {
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pdf_inspector::extract_tables_with_structure_mem(&bytes, &parsed)
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.map_err(|e| to_napi_err(e, "extract_tables_with_structure"))
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})
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}
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/// One resolved cell from `extractTablesWithStructureCells`.
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#[napi(object)]
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pub struct StructuredCellJs {
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/// 0-indexed grid row.
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pub row: u32,
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/// 0-indexed grid column.
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pub col: u32,
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/// 1 for a normal cell.
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pub rowspan: u32,
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/// 1 for a normal cell.
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pub colspan: u32,
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/// `true` when the cell is a `<th>` or sits inside `<thead>`.
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pub is_header: bool,
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/// Text extracted from the native PDF for this cell (may be empty).
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pub text: String,
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/// Axis-aligned bbox `[x1, y1, x2, y2]` in page PDF-points, top-left
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/// origin. Useful for debug overlays or per-cell post-processing.
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pub page_pt_bbox: Vec<f64>,
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}
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/// Extract structured cells using externally-supplied structure recovery.
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///
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/// Lower-level sibling of [`extractTablesWithStructure`]: instead of
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/// rendering markdown, returns the resolved cells (row, col, rowspan,
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/// colspan, isHeader, text, pagePtBbox) so callers can drive their own
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/// rendering, debug overlays, or per-cell post-processing.
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///
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/// Returns one `Array<StructuredCellJs>` per input, in input order.
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#[napi]
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pub fn extract_tables_with_structure_cells(
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buffer: Buffer,
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inputs: Vec<TsrTableInputJs>,
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) -> Result<Vec<Vec<StructuredCellJs>>> {
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let bytes: Vec<u8> = buffer.to_vec();
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let parsed = parse_tsr_inputs(&inputs);
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catch_panic("extract_tables_with_structure_cells", move || {
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let result = pdf_inspector::extract_tables_with_structure_cells_mem(&bytes, &parsed)
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.map_err(|e| to_napi_err(e, "extract_tables_with_structure_cells"))?;
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Ok(result
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.into_iter()
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.map(|cells| {
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cells
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.into_iter()
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.map(|c| StructuredCellJs {
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row: c.row as u32,
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col: c.col as u32,
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rowspan: c.rowspan as u32,
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colspan: c.colspan as u32,
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is_header: c.is_header,
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text: c.text,
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page_pt_bbox: c.page_pt_bbox.iter().map(|v| *v as f64).collect(),
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})
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.collect()
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})
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.collect())
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})
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}
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/// One result from `extractTablesWithStructureAuto` — markdown plus a
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/// diagnostic flag identifying which path produced it.
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///
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/// `fallbackReason` is `null` when the TSR-hybrid path produced the
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/// markdown directly. When stage 1's quality check fires (the cells
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/// look like a SLANet detection pathology — phantom rows or multi-row
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/// content in a single cell), the auto path may expand the TSR cells
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/// in-place or run the heuristic table extractor on the same region.
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/// `fallbackReason` carries the diagnostic label (for example
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/// `"multi_row_in_cell_expanded"` or `"phantom_empty_row"`).
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#[napi(object)]
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pub struct TableExtractionResultJs {
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pub markdown: String,
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pub fallback_reason: Option<String>,
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}
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/// Auto-fallback variant of [`extractTablesWithStructure`].
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///
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/// Runs the TSR-hybrid path, checks the resulting cells for known
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/// SLANet detection pathologies, expands multi-row cells in-place when
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/// possible, and otherwise falls back to the heuristic
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/// `extractTablesInRegions` for inputs where the TSR path looks
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/// compromised.
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///
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/// On clean inputs this returns identical markdown to
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/// `extractTablesWithStructure`; on flagged inputs `fallbackReason` is
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/// set to the recovery path that produced the result.
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#[napi]
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pub fn extract_tables_with_structure_auto(
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buffer: Buffer,
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inputs: Vec<TsrTableInputJs>,
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) -> Result<Vec<TableExtractionResultJs>> {
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let bytes: Vec<u8> = buffer.to_vec();
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let parsed = parse_tsr_inputs(&inputs);
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catch_panic("extract_tables_with_structure_auto", move || {
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let result = pdf_inspector::extract_tables_with_structure_auto_mem(&bytes, &parsed)
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.map_err(|e| to_napi_err(e, "extract_tables_with_structure_auto"))?;
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Ok(result
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.into_iter()
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.map(|r| TableExtractionResultJs {
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markdown: r.markdown,
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fallback_reason: r.fallback_reason,
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})
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.collect())
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})
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}
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fn parse_tsr_inputs(inputs: &[TsrTableInputJs]) -> Vec<pdf_inspector::TsrTableInput> {
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inputs
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.iter()
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.map(|i| {
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let crop = if i.crop_pdf_pt_bbox.len() == 4 {
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[
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i.crop_pdf_pt_bbox[0] as f32,
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i.crop_pdf_pt_bbox[1] as f32,
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i.crop_pdf_pt_bbox[2] as f32,
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i.crop_pdf_pt_bbox[3] as f32,
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]
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} else {
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[0.0, 0.0, 0.0, 0.0]
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};
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let cell_bboxes: Vec<Vec<f32>> = i
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.cell_bboxes
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.iter()
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.map(|bb| bb.iter().map(|v| *v as f32).collect())
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.collect();
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pdf_inspector::TsrTableInput {
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page: i.page,
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crop_pdf_pt_bbox: crop,
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render_dpi: i.render_dpi as f32,
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structure_tokens: i.structure_tokens.clone(),
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cell_bboxes,
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}
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})
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.collect()
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}
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/// Per-page markdown extraction result.
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#[napi(object)]
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pub struct PageMarkdownResult {
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@@ -360,9 +597,8 @@ pub fn extract_pages_markdown(
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) -> Result<PagesExtractionResult> {
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let bytes: Vec<u8> = buffer.to_vec();
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catch_panic("extract_pages_markdown", move || {
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let result =
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pdf_inspector::extract_pages_markdown_mem(&bytes, pages.as_deref())
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.map_err(|e| to_napi_err(e, "extract_pages_markdown"))?;
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let result = pdf_inspector::extract_pages_markdown_mem(&bytes, pages.as_deref())
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.map_err(|e| to_napi_err(e, "extract_pages_markdown"))?;
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Ok(PagesExtractionResult {
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pages: result
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.pages
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@@ -7,6 +7,7 @@ import {
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extractText,
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extractTextWithPositions,
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extractTextInRegions,
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detectVectorGridInRegion,
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extractPagesMarkdown,
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} from './index.js';
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@@ -90,6 +91,17 @@ assert.equal(typeof regionResults[0].regions[0].text, 'string');
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assert.equal(typeof regionResults[0].regions[0].needsOcr, 'boolean');
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console.log(' extractTextInRegions: OK');
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// --- detectVectorGridInRegion ---
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console.log('Testing detectVectorGridInRegion...');
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const vectorGrid = detectVectorGridInRegion(fixture, 0, [0, 0, 600, 800], 72);
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assert.ok(vectorGrid === null || typeof vectorGrid === 'object');
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if (vectorGrid) {
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assert.ok(Array.isArray(vectorGrid.structureTokens));
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assert.ok(Array.isArray(vectorGrid.cellBboxes));
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assert.ok(vectorGrid.cellBboxes.every(bbox => Array.isArray(bbox) && bbox.length === 4));
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}
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console.log(' detectVectorGridInRegion: OK');
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// --- extractPagesMarkdown ---
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console.log('Testing extractPagesMarkdown...');
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+33
-11
@@ -1,8 +1,12 @@
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//! CLI tool for detecting PDF type (text-based vs scanned)
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use pdf_inspector::{detect_pdf_type, process_pdf_with_options, PdfOptions, PdfType, ProcessMode};
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use pdf_inspector::{
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detect_pdf_type, detector::estimate_page_count_from_bytes, process_pdf_with_options,
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PdfOptions, PdfType, ProcessMode,
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};
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use std::env;
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use std::fmt::Write;
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use std::fs;
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use std::process;
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use std::time::Instant;
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@@ -64,6 +68,32 @@ fn pdf_type_str(pdf_type: &PdfType) -> &'static str {
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}
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}
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fn page_count_hint(pdf_path: &str) -> Option<u32> {
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fs::read(pdf_path)
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.ok()
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.map(|bytes| estimate_page_count_from_bytes(&bytes))
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.filter(|&count| count > 0)
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}
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fn print_error(e: &pdf_inspector::PdfError, pdf_path: &str, json_output: bool) {
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if json_output {
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if let Some(count) = page_count_hint(pdf_path) {
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println!(
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r#"{{"error":"{}","page_count_hint":{}}}"#,
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json_escape(&e.to_string()),
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count
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);
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} else {
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println!(r#"{{"error":"{}"}}"#, json_escape(&e.to_string()));
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}
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} else {
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eprintln!("Error: {}", e);
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if let Some(count) = page_count_hint(pdf_path) {
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eprintln!("Page count hint: {}", count);
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}
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}
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}
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fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
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match process_pdf_with_options(pdf_path, PdfOptions::new().mode(ProcessMode::Analyze)) {
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Ok(result) => {
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@@ -135,11 +165,7 @@ fn run_analyze(pdf_path: &str, json_output: bool, start: Instant) {
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}
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}
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Err(e) => {
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if json_output {
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println!(r#"{{"error":"{}"}}"#, e);
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} else {
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eprintln!("Error: {}", e);
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}
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print_error(&e, pdf_path, json_output);
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process::exit(1);
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}
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}
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@@ -236,11 +262,7 @@ fn run_detect_only(pdf_path: &str, json_output: bool, start: Instant) {
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}
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}
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Err(e) => {
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if json_output {
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println!(r#"{{"error":"{}"}}"#, e);
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} else {
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eprintln!("Error: {}", e);
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}
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print_error(&e, pdf_path, json_output);
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process::exit(1);
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}
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}
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+58
-36
@@ -97,26 +97,9 @@ pub fn detect_pdf_type_with_config<P: AsRef<Path>>(
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) -> Result<PdfTypeResult, PdfError> {
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crate::validate_pdf_file(&path)?;
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||||
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// First, load metadata only (fast operation)
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let metadata = match Document::load_metadata(&path) {
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Ok(m) => m,
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Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
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Document::load_metadata_with_password(&path, "")?
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||||
}
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Err(e) => return Err(e.into()),
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||||
};
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||||
let (doc, page_count) = crate::load_document_from_path(&path)?;
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||||
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||||
// Then load the full document for content inspection
|
||||
// We use filtered loading to skip heavy objects we don't need
|
||||
let doc = match Document::load(&path) {
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||||
Ok(d) => d,
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||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
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||||
Document::load_with_password(&path, "")?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
|
||||
detect_from_document(&doc, metadata.page_count, &config)
|
||||
detect_from_document(&doc, page_count, &config)
|
||||
}
|
||||
|
||||
/// Detect PDF type from memory buffer
|
||||
@@ -131,25 +114,64 @@ pub fn detect_pdf_type_mem_with_config(
|
||||
) -> Result<PdfTypeResult, PdfError> {
|
||||
crate::validate_pdf_bytes(buffer)?;
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||||
|
||||
// Load metadata first (fast)
|
||||
let metadata = match Document::load_metadata_mem(buffer) {
|
||||
Ok(m) => m,
|
||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_metadata_mem_with_password(buffer, "")?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
let (doc, page_count) = crate::load_document_from_mem(buffer)?;
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||||
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||||
// Load document for inspection
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||||
let doc = match Document::load_mem(buffer) {
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||||
Ok(d) => d,
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||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_mem_with_options(buffer, lopdf::LoadOptions::with_password(""))?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
detect_from_document(&doc, page_count, &config)
|
||||
}
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||||
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||||
detect_from_document(&doc, metadata.page_count, &config)
|
||||
/// Heuristic page-count fallback for malformed PDFs that cannot be parsed.
|
||||
///
|
||||
/// This scans raw bytes for page dictionaries (`/Type /Page`) while excluding
|
||||
/// the page tree node (`/Type /Pages`). It is intended as a low-confidence hint
|
||||
/// for diagnostics; parsed page-tree counts remain authoritative.
|
||||
pub fn estimate_page_count_from_bytes(buffer: &[u8]) -> u32 {
|
||||
let mut count = 0u32;
|
||||
let mut pos = 0usize;
|
||||
|
||||
while let Some(rel_idx) = find_bytes(&buffer[pos..], b"/Type") {
|
||||
let mut value_pos = pos + rel_idx + b"/Type".len();
|
||||
value_pos = skip_pdf_whitespace(buffer, value_pos);
|
||||
|
||||
if buffer.get(value_pos) == Some(&b'/') {
|
||||
let name_start = value_pos + 1;
|
||||
let name_end = name_start + b"Page".len();
|
||||
if name_end <= buffer.len()
|
||||
&& &buffer[name_start..name_end] == b"Page"
|
||||
&& buffer
|
||||
.get(name_end)
|
||||
.is_none_or(|b| is_pdf_name_delimiter(*b))
|
||||
{
|
||||
count += 1;
|
||||
}
|
||||
}
|
||||
|
||||
pos += rel_idx + b"/Type".len();
|
||||
}
|
||||
|
||||
count
|
||||
}
|
||||
|
||||
fn find_bytes(haystack: &[u8], needle: &[u8]) -> Option<usize> {
|
||||
haystack.windows(needle.len()).position(|w| w == needle)
|
||||
}
|
||||
|
||||
fn skip_pdf_whitespace(buffer: &[u8], mut pos: usize) -> usize {
|
||||
while pos < buffer.len() && is_pdf_whitespace(buffer[pos]) {
|
||||
pos += 1;
|
||||
}
|
||||
pos
|
||||
}
|
||||
|
||||
fn is_pdf_whitespace(byte: u8) -> bool {
|
||||
matches!(byte, b'\0' | b'\t' | b'\n' | 0x0C | b'\r' | b' ')
|
||||
}
|
||||
|
||||
fn is_pdf_name_delimiter(byte: u8) -> bool {
|
||||
is_pdf_whitespace(byte)
|
||||
|| matches!(
|
||||
byte,
|
||||
b'(' | b')' | b'<' | b'>' | b'[' | b']' | b'{' | b'}' | b'/' | b'%'
|
||||
)
|
||||
}
|
||||
|
||||
/// Detection logic on a pre-loaded document.
|
||||
|
||||
+4
-28
@@ -36,26 +36,14 @@ pub(crate) use layout::ColumnRegion;
|
||||
/// Extract text from PDF file as plain string
|
||||
pub fn extract_text<P: AsRef<Path>>(path: P) -> Result<String, PdfError> {
|
||||
crate::validate_pdf_file(&path)?;
|
||||
let doc = match Document::load(&path) {
|
||||
Ok(d) => d,
|
||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_with_password(&path, "")?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
let (doc, _) = crate::load_document_from_path(&path)?;
|
||||
extract_text_from_doc(&doc)
|
||||
}
|
||||
|
||||
/// Extract text from PDF memory buffer
|
||||
pub fn extract_text_mem(buffer: &[u8]) -> Result<String, PdfError> {
|
||||
crate::validate_pdf_bytes(buffer)?;
|
||||
let doc = match Document::load_mem(buffer) {
|
||||
Ok(d) => d,
|
||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_mem_with_options(buffer, lopdf::LoadOptions::with_password(""))?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
let (doc, _) = crate::load_document_from_mem(buffer)?;
|
||||
extract_text_from_doc(&doc)
|
||||
}
|
||||
|
||||
@@ -91,13 +79,7 @@ pub(crate) fn extract_text_with_positions_and_rects<P: AsRef<Path>>(
|
||||
page_filter: Option<&HashSet<u32>>,
|
||||
) -> Result<PageExtraction, PdfError> {
|
||||
crate::validate_pdf_file(&path)?;
|
||||
let doc = match Document::load(&path) {
|
||||
Ok(d) => d,
|
||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_with_password(&path, "")?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
let (doc, _) = crate::load_document_from_path(&path)?;
|
||||
let font_cmaps = FontCMaps::from_doc(&doc);
|
||||
let (extraction, _thresholds, _gid_pages) =
|
||||
extract_positioned_text_from_doc(&doc, &font_cmaps, page_filter)?;
|
||||
@@ -124,13 +106,7 @@ pub(crate) fn extract_text_with_positions_mem_and_rects(
|
||||
page_filter: Option<&HashSet<u32>>,
|
||||
) -> Result<PageExtraction, PdfError> {
|
||||
crate::validate_pdf_bytes(buffer)?;
|
||||
let doc = match Document::load_mem(buffer) {
|
||||
Ok(d) => d,
|
||||
Err(ref e) if crate::is_encrypted_lopdf_error(e) => {
|
||||
Document::load_mem_with_options(buffer, lopdf::LoadOptions::with_password(""))?
|
||||
}
|
||||
Err(e) => return Err(e.into()),
|
||||
};
|
||||
let (doc, _) = crate::load_document_from_mem(buffer)?;
|
||||
let font_cmaps = FontCMaps::from_doc(&doc);
|
||||
let (extraction, _thresholds, _gid_pages) =
|
||||
extract_positioned_text_from_doc(&doc, &font_cmaps, page_filter)?;
|
||||
|
||||
+2362
-8
File diff suppressed because it is too large
Load Diff
@@ -586,7 +586,27 @@ pub(super) fn to_markdown_from_lines_with_tables_and_images(
|
||||
.as_ref()
|
||||
.and_then(struct_role_heading_level)
|
||||
.filter(|level| !overused_heading_levels.contains(level));
|
||||
|
||||
// Protect wrapped list items: when inside a list, a visually-continuing
|
||||
// line (same indent, line-wrap spacing) must not be reclassified as a
|
||||
// heading by the font heuristic — PDFs often bold the lead phrase of a
|
||||
// list item across multiple wrap lines, and an all-bold middle line
|
||||
// would otherwise split one item into a heading + stray body text.
|
||||
// We gate on the document's paragraph threshold so genuine section
|
||||
// headings that follow a numbered paragraph (y_gap > para_threshold)
|
||||
// remain detectable.
|
||||
let looks_like_list_continuation = in_list
|
||||
&& match (last_list_x, line.items.first().map(|i| i.x)) {
|
||||
(Some(list_x), Some(curr_x)) => {
|
||||
let x_ok = curr_x >= list_x - 5.0 && curr_x <= list_x + 50.0;
|
||||
let y_ok = y_gap >= 0.0 && y_gap <= para_threshold;
|
||||
x_ok && y_ok && !is_list_item(plain_trimmed)
|
||||
}
|
||||
_ => false,
|
||||
};
|
||||
|
||||
let heuristic_heading = if options.detect_headers
|
||||
&& !looks_like_list_continuation
|
||||
&& plain_trimmed.len() > 3
|
||||
&& plain_trimmed.split_whitespace().count() <= 15
|
||||
&& !starts_with_bullet_marker(plain_trimmed)
|
||||
@@ -1453,4 +1473,70 @@ mod tests {
|
||||
overused
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_wrapped_bold_lead_in_list_item_not_heading() {
|
||||
// Regression: numbered-list items whose bold "lead" phrase wraps onto
|
||||
// a second line (e.g. definitions in system cards) must not have the
|
||||
// wrapped line reclassified as a heading. The middle line is
|
||||
// all_bold + standalone (in_paragraph=false while in_list), which
|
||||
// previously tripped the rarity heuristic and emitted #### in the
|
||||
// middle of the item, splitting the body into stray bullets.
|
||||
let make = |text: &str, x: f32, y: f32, bold: bool| {
|
||||
let mut item = make_item(text, 1, None);
|
||||
item.x = x;
|
||||
item.y = y;
|
||||
item.is_bold = bold;
|
||||
item
|
||||
};
|
||||
|
||||
let lines = vec![
|
||||
// "1. **bold lead phrase start**"
|
||||
make_line(vec![
|
||||
make("1. ", 72.0, 700.0, false),
|
||||
make(
|
||||
"Chemical and biological weapons threat model 1 (CB-1): Non-novel",
|
||||
90.0,
|
||||
700.0,
|
||||
true,
|
||||
),
|
||||
]),
|
||||
// wrapped continuation of the bold lead — all_bold, same indent
|
||||
make_line(vec![make(
|
||||
"chemical/biological weapons production capabilities: A model has CB-1",
|
||||
90.0,
|
||||
686.0,
|
||||
true,
|
||||
)]),
|
||||
// body text of the same list item
|
||||
make_line(vec![make(
|
||||
"capabilities if it has the ability to significantly help individuals.",
|
||||
90.0,
|
||||
672.0,
|
||||
false,
|
||||
)]),
|
||||
];
|
||||
|
||||
let md = to_markdown_from_lines_with_tables_and_images(
|
||||
lines,
|
||||
MarkdownOptions::default(),
|
||||
HashMap::new(),
|
||||
HashMap::new(),
|
||||
&std::collections::HashSet::new(),
|
||||
None,
|
||||
);
|
||||
|
||||
assert!(
|
||||
!md.contains("#### "),
|
||||
"wrapped bold lead must not become a heading: {md}"
|
||||
);
|
||||
assert!(
|
||||
md.lines().filter(|l| l.starts_with("- ")).count() == 0,
|
||||
"continuation body must not become a stray bullet: {md}"
|
||||
);
|
||||
assert!(
|
||||
md.contains("1. ") && md.contains("A model has CB-1"),
|
||||
"numbered list item should remain intact: {md}"
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
+140
-20
@@ -1156,11 +1156,23 @@ fn propagate_merged_cells(
|
||||
continue;
|
||||
}
|
||||
|
||||
// Find first and last grid rows that the rect spans
|
||||
let first_row = (0..num_rows)
|
||||
.find(|&r| ry <= row_edges[r] + tol && (ry + rh) >= row_edges[r + 1] - tol);
|
||||
let last_row = (0..num_rows)
|
||||
.rfind(|&r| ry <= row_edges[r] + tol && (ry + rh) >= row_edges[r + 1] - tol);
|
||||
// Find first and last grid rows that the rect spans.
|
||||
//
|
||||
// Require a rect to actually overlap the row by more than `tol`
|
||||
// to count as a span. A "rect bottom ≤ row top + tol AND rect
|
||||
// top ≥ row bottom − tol" check gives false positives at shared
|
||||
// row boundaries — a rect whose top equals row N's bottom lies
|
||||
// entirely below the row but still passes the tolerance-slack
|
||||
// check, cascading body text from unrelated rows into one
|
||||
// merged cell.
|
||||
let spans = |r: usize| {
|
||||
let row_top = row_edges[r];
|
||||
let row_bot = row_edges[r + 1];
|
||||
let overlap = (row_top.min(ry + rh) - row_bot.max(ry)).max(0.0);
|
||||
overlap > tol
|
||||
};
|
||||
let first_row = (0..num_rows).find(|&r| spans(r));
|
||||
let last_row = (0..num_rows).rfind(|&r| spans(r));
|
||||
|
||||
let (first, last) = match (first_row, last_row) {
|
||||
(Some(f), Some(l)) if l > f => (f, l),
|
||||
@@ -1575,25 +1587,69 @@ fn detect_row_stripe_table_from_cell_rects(
|
||||
return None;
|
||||
}
|
||||
|
||||
// Derive columns from text X-position clustering
|
||||
// Derive columns from text X-position clustering, but prefer rect
|
||||
// X-edges when they already provide a tighter scaffold. Some PDFs draw
|
||||
// only the row-index cells in the body plus a full header row; that is
|
||||
// not dense enough for `try_build_grid`, but the header rects still define
|
||||
// the real columns. Text starts inside wide cells can otherwise split the
|
||||
// table into spurious sub-columns.
|
||||
let columns = cluster_x_positions(&page_items, 15.0);
|
||||
if columns.len() < 2 {
|
||||
let text_col_edges = if columns.len() >= 2 {
|
||||
let mut edges: Vec<f32> = Vec::with_capacity(columns.len() + 1);
|
||||
let min_x = page_items.iter().map(|(_, i)| i.x).reduce(f32::min)?;
|
||||
edges.push(min_x - 5.0);
|
||||
for pair in columns.windows(2) {
|
||||
edges.push((pair[0] + pair[1]) / 2.0);
|
||||
}
|
||||
let max_x_right = page_items
|
||||
.iter()
|
||||
.map(|(_, i)| i.x + i.width)
|
||||
.reduce(f32::max)?;
|
||||
edges.push(max_x_right + 5.0);
|
||||
Some(edges)
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
let rect_col_edges = {
|
||||
let mut x_vals = Vec::with_capacity(content_rects.len() * 2);
|
||||
for &&(x, _, w, _) in &content_rects {
|
||||
x_vals.push(x);
|
||||
x_vals.push(x + w);
|
||||
}
|
||||
let mut edges = snap_edges(&x_vals, 6.0);
|
||||
edges.sort_by(|a, b| a.total_cmp(b));
|
||||
if (3..=26).contains(&edges.len()) {
|
||||
Some(edges)
|
||||
} else {
|
||||
None
|
||||
}
|
||||
};
|
||||
|
||||
let col_edges = match (rect_col_edges, text_col_edges) {
|
||||
(Some(rect_edges), Some(text_edges)) if rect_edges.len() <= text_edges.len() => {
|
||||
debug!(
|
||||
" cell-rect using {} rect-derived columns over {} text clusters",
|
||||
rect_edges.len() - 1,
|
||||
text_edges.len() - 1
|
||||
);
|
||||
rect_edges
|
||||
}
|
||||
(_, Some(text_edges)) => text_edges,
|
||||
(Some(rect_edges), None) => rect_edges,
|
||||
(None, None) => {
|
||||
debug!(
|
||||
" cell-rect rejected: only {} columns from text clustering",
|
||||
columns.len()
|
||||
);
|
||||
return None;
|
||||
}
|
||||
};
|
||||
|
||||
if col_edges.len() < 3 {
|
||||
return None;
|
||||
}
|
||||
|
||||
// Build column edges
|
||||
let mut col_edges: Vec<f32> = Vec::with_capacity(columns.len() + 1);
|
||||
let min_x = page_items.iter().map(|(_, i)| i.x).reduce(f32::min)?;
|
||||
col_edges.push(min_x - 5.0);
|
||||
for pair in columns.windows(2) {
|
||||
col_edges.push((pair[0] + pair[1]) / 2.0);
|
||||
}
|
||||
let max_x_right = page_items
|
||||
.iter()
|
||||
.map(|(_, i)| i.x + i.width)
|
||||
.reduce(f32::max)?;
|
||||
col_edges.push(max_x_right + 5.0);
|
||||
|
||||
let num_cols = col_edges.len() - 1;
|
||||
let num_rows = row_edges.len() - 1;
|
||||
|
||||
@@ -1667,6 +1723,49 @@ fn detect_row_stripe_table_from_cell_rects(
|
||||
return None;
|
||||
}
|
||||
|
||||
// Reject "tables" that are actually prose in a framed region.
|
||||
// Columns here come from text X-position clustering; when prose wraps
|
||||
// inside a bounding-box rect (e.g. chat-transcript figures) the
|
||||
// word-boundary gaps cluster into many spurious columns, and the
|
||||
// resulting cells hold sentence fragments riddled with common English
|
||||
// function words. Count cells with any such word and reject when
|
||||
// 20%+ of non-empty cells match — real tabular data (labels, units,
|
||||
// numbers) rarely contains these words.
|
||||
if num_cols >= 4 {
|
||||
const PROSE_WORDS: &[&str] = &[
|
||||
"a", "an", "the", "of", "to", "is", "was", "are", "were", "be", "been", "in", "on",
|
||||
"at", "with", "for", "by", "as", "and", "or", "but", "this", "that", "these", "those",
|
||||
"from", "into", "has", "have", "had", "not", "don't", "doesn't", "it's", "its", "it",
|
||||
"i", "me", "my", "we", "our", "us", "you", "your", "they", "them", "their", "he",
|
||||
"she", "his", "her",
|
||||
];
|
||||
let mut prose_cells = 0usize;
|
||||
let mut counted = 0usize;
|
||||
for row in &cells {
|
||||
for cell in row {
|
||||
let t = cell.trim();
|
||||
if t.is_empty() {
|
||||
continue;
|
||||
}
|
||||
counted += 1;
|
||||
let lower = t.to_ascii_lowercase();
|
||||
let has_prose_word = lower
|
||||
.split(|c: char| !c.is_ascii_alphabetic() && c != '\'')
|
||||
.any(|w| PROSE_WORDS.contains(&w));
|
||||
if has_prose_word {
|
||||
prose_cells += 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
if counted > 0 && prose_cells * 5 >= counted {
|
||||
debug!(
|
||||
" cell-rect rejected: {}/{} cells contain prose function words — likely prose",
|
||||
prose_cells, counted
|
||||
);
|
||||
return None;
|
||||
}
|
||||
}
|
||||
|
||||
let column_centers: Vec<f32> = (0..num_cols)
|
||||
.map(|c| (col_edges[c] + col_edges[c + 1]) / 2.0)
|
||||
.collect();
|
||||
@@ -2350,6 +2449,27 @@ mod tests {
|
||||
assert_eq!(cells[1][0], "B");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_propagate_merged_cells_rect_tangent_to_row_boundary() {
|
||||
// Regression: a rect whose top exactly equals a row's bottom lies
|
||||
// entirely outside that row, so it must not be considered to span
|
||||
// it. With the old overlap-based predicate this cascaded into body
|
||||
// text from unrelated rows being merged into a single header cell
|
||||
// (mythos system card CB task-based evaluations table).
|
||||
//
|
||||
// Layout: two rows 0..80 and 80..160 (bottom → top in PDF coords),
|
||||
// rect occupies only the lower row (y=0..80). Its top equals the
|
||||
// upper row's bottom; it must not span the upper row.
|
||||
let col_edges = vec![0.0, 50.0];
|
||||
let row_edges = vec![160.0, 80.0, 0.0]; // top → bot
|
||||
let mut cells = vec![vec!["Upper".to_string()], vec!["Lower".to_string()]];
|
||||
let group_rects = vec![(0.0, 0.0, 50.0, 80.0)]; // rect at y=0..80
|
||||
let skip = vec![false];
|
||||
propagate_merged_cells(&mut cells, &col_edges, &row_edges, &group_rects, &skip);
|
||||
assert_eq!(cells[0][0], "Upper", "upper row must not be merged");
|
||||
assert_eq!(cells[1][0], "Lower", "lower row must not be touched");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_propagate_merged_cells_empty_cells_preserved() {
|
||||
let col_edges = vec![0.0, 50.0];
|
||||
|
||||
+847
-63
@@ -4,15 +4,385 @@
|
||||
//! elements linked to MCIDs, this module builds `Table` structs directly from
|
||||
//! the semantic hierarchy — no geometry heuristics needed.
|
||||
|
||||
use std::collections::HashMap;
|
||||
use std::collections::{HashMap, HashSet};
|
||||
|
||||
use log::debug;
|
||||
|
||||
use crate::structure_tree::StructTable;
|
||||
use crate::structure_tree::{StructTable, StructTableRow};
|
||||
use crate::types::TextItem;
|
||||
|
||||
use super::Table;
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
struct MatchedCell {
|
||||
text: String,
|
||||
item_indices: Vec<usize>,
|
||||
x: Option<f32>,
|
||||
y: Option<f32>,
|
||||
}
|
||||
|
||||
fn legacy_column_positions(
|
||||
page_rows: &[&StructTableRow],
|
||||
mcid_to_items: &HashMap<i64, Vec<usize>>,
|
||||
items: &[TextItem],
|
||||
page: u32,
|
||||
num_cols: usize,
|
||||
) -> Vec<f32> {
|
||||
let mut col_positions: Vec<f32> = vec![0.0; num_cols];
|
||||
for (col, col_pos) in col_positions.iter_mut().enumerate() {
|
||||
for row in page_rows {
|
||||
if col < row.cells.len() {
|
||||
if let Some(x) = row.cells[col]
|
||||
.mcids
|
||||
.iter()
|
||||
.filter(|(_, p)| *p == page)
|
||||
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
|
||||
.flatten()
|
||||
.map(|&idx| items[idx].x)
|
||||
.reduce(f32::min)
|
||||
{
|
||||
*col_pos = x;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
col_positions
|
||||
}
|
||||
|
||||
fn infer_column_positions(
|
||||
raw_rows: &[Vec<MatchedCell>],
|
||||
fallback_positions: &[f32],
|
||||
num_cols: usize,
|
||||
) -> Vec<f32> {
|
||||
const SAME_COLUMN_TOLERANCE: f32 = 18.0;
|
||||
|
||||
let mut anchors = raw_rows
|
||||
.iter()
|
||||
.max_by_key(|row| row.iter().filter(|cell| cell.x.is_some()).count())
|
||||
.map(|row| row.iter().filter_map(|cell| cell.x).collect::<Vec<_>>())
|
||||
.unwrap_or_default();
|
||||
|
||||
if anchors.len() > num_cols {
|
||||
anchors.truncate(num_cols);
|
||||
}
|
||||
|
||||
let mut additional_positions: Vec<f32> = raw_rows
|
||||
.iter()
|
||||
.flat_map(|row| row.iter().filter_map(|cell| cell.x))
|
||||
.collect();
|
||||
additional_positions.sort_by(|a, b| a.total_cmp(b));
|
||||
|
||||
for x in additional_positions {
|
||||
if anchors.len() >= num_cols {
|
||||
break;
|
||||
}
|
||||
if anchors
|
||||
.iter()
|
||||
.all(|existing| (x - *existing).abs() > SAME_COLUMN_TOLERANCE)
|
||||
{
|
||||
anchors.push(x);
|
||||
anchors.sort_by(|a, b| a.total_cmp(b));
|
||||
}
|
||||
}
|
||||
|
||||
if anchors.len() < num_cols {
|
||||
for &x in fallback_positions {
|
||||
if anchors.len() >= num_cols {
|
||||
break;
|
||||
}
|
||||
if anchors
|
||||
.iter()
|
||||
.all(|existing| (x - *existing).abs() > SAME_COLUMN_TOLERANCE)
|
||||
{
|
||||
anchors.push(x);
|
||||
anchors.sort_by(|a, b| a.total_cmp(b));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if anchors.is_empty() {
|
||||
return fallback_positions.to_vec();
|
||||
}
|
||||
|
||||
while anchors.len() < num_cols {
|
||||
anchors.push(*anchors.last().unwrap());
|
||||
}
|
||||
|
||||
anchors
|
||||
}
|
||||
|
||||
fn align_positions_to_columns(cell_xs: &[f32], columns: &[f32]) -> Vec<usize> {
|
||||
if cell_xs.is_empty() || columns.is_empty() {
|
||||
return Vec::new();
|
||||
}
|
||||
if cell_xs.len() >= columns.len() {
|
||||
return (0..cell_xs.len().min(columns.len())).collect();
|
||||
}
|
||||
|
||||
let mut dp = vec![vec![f32::INFINITY; columns.len() + 1]; cell_xs.len() + 1];
|
||||
let mut take = vec![vec![false; columns.len() + 1]; cell_xs.len() + 1];
|
||||
|
||||
for value in &mut dp[0] {
|
||||
*value = 0.0;
|
||||
}
|
||||
|
||||
for i in 1..=cell_xs.len() {
|
||||
for j in 1..=columns.len() {
|
||||
let skip_cost = dp[i][j - 1];
|
||||
let take_cost = dp[i - 1][j - 1] + (cell_xs[i - 1] - columns[j - 1]).abs();
|
||||
if take_cost <= skip_cost {
|
||||
dp[i][j] = take_cost;
|
||||
take[i][j] = true;
|
||||
} else {
|
||||
dp[i][j] = skip_cost;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let mut assignments_rev = Vec::with_capacity(cell_xs.len());
|
||||
let mut i = cell_xs.len();
|
||||
let mut j = columns.len();
|
||||
while i > 0 && j > 0 {
|
||||
if take[i][j] {
|
||||
assignments_rev.push(j - 1);
|
||||
i -= 1;
|
||||
j -= 1;
|
||||
} else {
|
||||
j -= 1;
|
||||
}
|
||||
}
|
||||
|
||||
assignments_rev.reverse();
|
||||
assignments_rev
|
||||
}
|
||||
|
||||
fn align_struct_rows(
|
||||
raw_rows: &[Vec<MatchedCell>],
|
||||
col_positions: &[f32],
|
||||
) -> (Vec<Vec<String>>, Vec<f32>, Vec<usize>) {
|
||||
let mut cells: Vec<Vec<String>> = Vec::with_capacity(raw_rows.len());
|
||||
let mut row_positions: Vec<f32> = Vec::with_capacity(raw_rows.len());
|
||||
let mut all_item_indices: Vec<usize> = Vec::new();
|
||||
|
||||
for row in raw_rows {
|
||||
let present_cells: Vec<&MatchedCell> = row
|
||||
.iter()
|
||||
.filter(|cell| {
|
||||
!cell.item_indices.is_empty() || !cell.text.is_empty() || cell.x.is_some()
|
||||
})
|
||||
.collect();
|
||||
let cell_xs: Vec<f32> = present_cells.iter().filter_map(|cell| cell.x).collect();
|
||||
let assignments = if cell_xs.len() == present_cells.len() {
|
||||
align_positions_to_columns(&cell_xs, col_positions)
|
||||
} else {
|
||||
(0..present_cells.len().min(col_positions.len())).collect()
|
||||
};
|
||||
|
||||
let mut row_cells = vec![String::new(); col_positions.len()];
|
||||
for (cell, &col_idx) in present_cells.iter().zip(assignments.iter()) {
|
||||
if !cell.text.is_empty() {
|
||||
if !row_cells[col_idx].is_empty() {
|
||||
row_cells[col_idx].push(' ');
|
||||
}
|
||||
row_cells[col_idx].push_str(&cell.text);
|
||||
}
|
||||
all_item_indices.extend(cell.item_indices.iter().copied());
|
||||
}
|
||||
|
||||
let row_y = row
|
||||
.iter()
|
||||
.filter_map(|cell| cell.y)
|
||||
.reduce(f32::max)
|
||||
.unwrap_or(0.0);
|
||||
cells.push(row_cells);
|
||||
row_positions.push(row_y);
|
||||
}
|
||||
|
||||
(cells, row_positions, all_item_indices)
|
||||
}
|
||||
|
||||
fn left_align_struct_rows(
|
||||
raw_rows: &[Vec<MatchedCell>],
|
||||
num_cols: usize,
|
||||
) -> (Vec<Vec<String>>, Vec<f32>, Vec<usize>) {
|
||||
let mut cells: Vec<Vec<String>> = Vec::with_capacity(raw_rows.len());
|
||||
let mut row_positions: Vec<f32> = Vec::with_capacity(raw_rows.len());
|
||||
let mut all_item_indices: Vec<usize> = Vec::new();
|
||||
|
||||
for row in raw_rows {
|
||||
let mut row_cells: Vec<String> = row.iter().map(|cell| cell.text.clone()).collect();
|
||||
row_cells.truncate(num_cols);
|
||||
while row_cells.len() < num_cols {
|
||||
row_cells.push(String::new());
|
||||
}
|
||||
cells.push(row_cells);
|
||||
|
||||
all_item_indices.extend(
|
||||
row.iter()
|
||||
.flat_map(|cell| cell.item_indices.iter().copied()),
|
||||
);
|
||||
row_positions.push(
|
||||
row.iter()
|
||||
.filter_map(|cell| cell.y)
|
||||
.reduce(f32::max)
|
||||
.unwrap_or(0.0),
|
||||
);
|
||||
}
|
||||
|
||||
(cells, row_positions, all_item_indices)
|
||||
}
|
||||
|
||||
fn recover_unclaimed_header_row(table: &mut Table, items: &[TextItem], has_ragged_rows: bool) {
|
||||
if !has_ragged_rows || table.rows.is_empty() || table.columns.len() < 3 {
|
||||
return;
|
||||
}
|
||||
|
||||
const MAX_HEADER_DISTANCE: f32 = 90.0;
|
||||
const MAX_GAP_TO_TABLE: f32 = 35.0;
|
||||
const MAX_INTER_HEADER_GAP: f32 = 25.0;
|
||||
const MAX_HEADER_ROWS: usize = 3;
|
||||
const Y_TOLERANCE: f32 = 5.0;
|
||||
|
||||
let top_row_y = table.rows[0];
|
||||
let x_min = table.columns.first().copied().unwrap_or(0.0) - 25.0;
|
||||
let x_max = table.columns.last().copied().unwrap_or(0.0) + 120.0;
|
||||
let claimed: HashSet<usize> = table.item_indices.iter().copied().collect();
|
||||
|
||||
let mut candidate_rows: Vec<(f32, Vec<(usize, &TextItem)>)> = Vec::new();
|
||||
for (idx, item) in items.iter().enumerate() {
|
||||
if claimed.contains(&idx)
|
||||
|| item.text.trim().is_empty()
|
||||
|| item.y <= top_row_y
|
||||
|| item.y - top_row_y > MAX_HEADER_DISTANCE
|
||||
|| item.x < x_min
|
||||
|| item.x > x_max
|
||||
{
|
||||
continue;
|
||||
}
|
||||
|
||||
if let Some((_, row_items)) = candidate_rows
|
||||
.iter_mut()
|
||||
.find(|(row_y, _)| (item.y - *row_y).abs() < Y_TOLERANCE)
|
||||
{
|
||||
row_items.push((idx, item));
|
||||
} else {
|
||||
candidate_rows.push((item.y, vec![(idx, item)]));
|
||||
}
|
||||
}
|
||||
|
||||
if candidate_rows.is_empty() {
|
||||
return;
|
||||
}
|
||||
|
||||
for (_, row_items) in &mut candidate_rows {
|
||||
row_items.sort_by(|a, b| a.1.x.total_cmp(&b.1.x));
|
||||
}
|
||||
candidate_rows.sort_by(|a, b| a.0.total_cmp(&b.0));
|
||||
|
||||
if candidate_rows[0].0 - top_row_y > MAX_GAP_TO_TABLE {
|
||||
return;
|
||||
}
|
||||
|
||||
let mut candidate_iter = candidate_rows.into_iter();
|
||||
let Some(first_row) = candidate_iter.next() else {
|
||||
return;
|
||||
};
|
||||
let mut selected_rows: Vec<(f32, Vec<(usize, &TextItem)>)> = vec![first_row];
|
||||
let mut prev_y = selected_rows[0].0;
|
||||
for (row_y, row_items) in candidate_iter {
|
||||
if selected_rows.len() >= MAX_HEADER_ROWS {
|
||||
break;
|
||||
}
|
||||
if row_y - prev_y > MAX_INTER_HEADER_GAP {
|
||||
break;
|
||||
}
|
||||
prev_y = row_y;
|
||||
selected_rows.push((row_y, row_items));
|
||||
}
|
||||
|
||||
if selected_rows.is_empty() {
|
||||
return;
|
||||
}
|
||||
|
||||
let mut assigned_rows: Vec<(f32, Vec<String>, Vec<usize>)> = Vec::new();
|
||||
let mut closest_row_populated = 0usize;
|
||||
let mut combined_cols: HashSet<usize> = HashSet::new();
|
||||
|
||||
for (row_idx, (row_y, row_items)) in selected_rows.iter().enumerate() {
|
||||
if row_items.len() > table.columns.len() {
|
||||
return;
|
||||
}
|
||||
|
||||
let row_xs: Vec<f32> = row_items.iter().map(|(_, item)| item.x).collect();
|
||||
let assignments = align_positions_to_columns(&row_xs, &table.columns);
|
||||
if assignments.len() != row_items.len() {
|
||||
return;
|
||||
}
|
||||
|
||||
let mut row_cells = vec![String::new(); table.columns.len()];
|
||||
let mut row_indices = Vec::with_capacity(row_items.len());
|
||||
let mut populated_cols: HashSet<usize> = HashSet::new();
|
||||
|
||||
for ((idx, item), &col_idx) in row_items.iter().zip(assignments.iter()) {
|
||||
let text = item.text.trim();
|
||||
if text.is_empty() {
|
||||
continue;
|
||||
}
|
||||
if !row_cells[col_idx].is_empty() {
|
||||
row_cells[col_idx].push(' ');
|
||||
}
|
||||
row_cells[col_idx].push_str(text);
|
||||
row_indices.push(*idx);
|
||||
populated_cols.insert(col_idx);
|
||||
}
|
||||
|
||||
if row_idx == 0 {
|
||||
closest_row_populated = populated_cols.len();
|
||||
}
|
||||
|
||||
combined_cols.extend(populated_cols.iter().copied());
|
||||
assigned_rows.push((*row_y, row_cells, row_indices));
|
||||
}
|
||||
|
||||
let required_cols = if table.columns.len() <= 4 {
|
||||
table.columns.len()
|
||||
} else {
|
||||
table.columns.len() - 1
|
||||
};
|
||||
if closest_row_populated < 2 || combined_cols.len() < required_cols {
|
||||
return;
|
||||
}
|
||||
|
||||
let mut header_cells = vec![String::new(); table.columns.len()];
|
||||
let mut header_indices = Vec::new();
|
||||
for (_, row_cells, row_indices) in assigned_rows.iter().rev() {
|
||||
for (col_idx, cell_text) in row_cells.iter().enumerate() {
|
||||
if cell_text.is_empty() {
|
||||
continue;
|
||||
}
|
||||
if !header_cells[col_idx].is_empty() {
|
||||
header_cells[col_idx].push(' ');
|
||||
}
|
||||
header_cells[col_idx].push_str(cell_text);
|
||||
}
|
||||
header_indices.extend(row_indices.iter().copied());
|
||||
}
|
||||
|
||||
table.rows.insert(
|
||||
0,
|
||||
assigned_rows
|
||||
.iter()
|
||||
.map(|(row_y, _, _)| *row_y)
|
||||
.reduce(f32::max)
|
||||
.unwrap_or(top_row_y),
|
||||
);
|
||||
table.cells.insert(0, header_cells);
|
||||
table.item_indices.extend(header_indices);
|
||||
table.item_indices.sort_unstable();
|
||||
table.item_indices.dedup();
|
||||
}
|
||||
|
||||
/// Build tables from structure-tree table descriptors by matching MCIDs to TextItems.
|
||||
///
|
||||
/// Returns tables for the given page. Tables where fewer than 50% of cells
|
||||
@@ -67,18 +437,14 @@ pub fn detect_tables_from_struct_tree(
|
||||
continue;
|
||||
}
|
||||
|
||||
// Build cell text and collect item indices
|
||||
let mut cells: Vec<Vec<String>> = Vec::new();
|
||||
let mut all_item_indices: Vec<usize> = Vec::new();
|
||||
// Build cell text and geometry for alignment and header recovery.
|
||||
let mut raw_rows: Vec<Vec<MatchedCell>> = Vec::new();
|
||||
let mut total_cells = 0u32;
|
||||
let mut matched_cells = 0u32;
|
||||
|
||||
for row in &page_rows {
|
||||
let mut row_cells = Vec::with_capacity(num_cols);
|
||||
for (col_idx, cell) in row.cells.iter().enumerate() {
|
||||
if col_idx >= num_cols {
|
||||
break;
|
||||
}
|
||||
let mut row_cells = Vec::with_capacity(row.cells.len());
|
||||
for cell in &row.cells {
|
||||
total_cells += 1;
|
||||
|
||||
// Collect all items for this cell's MCIDs
|
||||
@@ -115,18 +481,18 @@ pub fn detect_tables_from_struct_tree(
|
||||
.collect::<Vec<_>>()
|
||||
.join(" ");
|
||||
|
||||
for (idx, _) in &cell_items {
|
||||
all_item_indices.push(*idx);
|
||||
}
|
||||
let item_indices = cell_items.iter().map(|(idx, _)| *idx).collect::<Vec<_>>();
|
||||
let x = cell_items.iter().map(|(_, item)| item.x).reduce(f32::min);
|
||||
let y = cell_items.iter().map(|(_, item)| item.y).reduce(f32::max);
|
||||
|
||||
row_cells.push(text);
|
||||
row_cells.push(MatchedCell {
|
||||
text,
|
||||
item_indices,
|
||||
x,
|
||||
y,
|
||||
});
|
||||
}
|
||||
|
||||
// Pad to num_cols
|
||||
while row_cells.len() < num_cols {
|
||||
row_cells.push(String::new());
|
||||
}
|
||||
cells.push(row_cells);
|
||||
raw_rows.push(row_cells);
|
||||
}
|
||||
|
||||
// Reject if too few cells matched (stale structure tree)
|
||||
@@ -148,52 +514,55 @@ pub fn detect_tables_from_struct_tree(
|
||||
continue;
|
||||
}
|
||||
|
||||
// Derive row/column positions from item geometry
|
||||
let mut row_positions: Vec<f32> = Vec::new();
|
||||
for row in &page_rows {
|
||||
let y = row
|
||||
.cells
|
||||
.iter()
|
||||
.flat_map(|c| c.mcids.iter())
|
||||
.filter(|(_, p)| *p == page)
|
||||
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
|
||||
.flatten()
|
||||
.map(|&idx| items[idx].y)
|
||||
.reduce(f32::max)
|
||||
.unwrap_or(0.0);
|
||||
row_positions.push(y);
|
||||
}
|
||||
let has_ragged_rows = raw_rows
|
||||
.iter()
|
||||
.any(|row| row.iter().filter(|cell| cell.x.is_some()).count() < num_cols);
|
||||
let first_row_has_tagged_header = page_rows.first().is_some_and(|row| {
|
||||
let header_cells = row.cells.iter().filter(|cell| cell.is_header).count();
|
||||
header_cells * 2 >= row.cells.len()
|
||||
});
|
||||
let fallback_col_positions =
|
||||
legacy_column_positions(&page_rows, &mcid_to_items, items, page, num_cols);
|
||||
let (legacy_cells, legacy_row_positions, mut legacy_item_indices) =
|
||||
left_align_struct_rows(&raw_rows, num_cols);
|
||||
legacy_item_indices.sort_unstable();
|
||||
legacy_item_indices.dedup();
|
||||
let legacy_table = Table::new(
|
||||
fallback_col_positions.clone(),
|
||||
legacy_row_positions,
|
||||
legacy_cells,
|
||||
legacy_item_indices,
|
||||
);
|
||||
|
||||
// Column positions: use X positions of first non-empty cell in each column
|
||||
let mut col_positions: Vec<f32> = vec![0.0; num_cols];
|
||||
for (col, col_pos) in col_positions.iter_mut().enumerate() {
|
||||
for row in &page_rows {
|
||||
if col < row.cells.len() {
|
||||
if let Some(x) = row.cells[col]
|
||||
.mcids
|
||||
.iter()
|
||||
.filter(|(_, p)| *p == page)
|
||||
.filter_map(|(mcid, _)| mcid_to_items.get(mcid))
|
||||
.flatten()
|
||||
.map(|&idx| items[idx].x)
|
||||
.reduce(f32::min)
|
||||
{
|
||||
*col_pos = x;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
let col_positions = infer_column_positions(&raw_rows, &fallback_col_positions, num_cols);
|
||||
let (aligned_cells, aligned_row_positions, mut aligned_item_indices) =
|
||||
align_struct_rows(&raw_rows, &col_positions);
|
||||
aligned_item_indices.sort_unstable();
|
||||
aligned_item_indices.dedup();
|
||||
|
||||
all_item_indices.sort_unstable();
|
||||
all_item_indices.dedup();
|
||||
|
||||
tables.push(Table::new(
|
||||
let mut aligned_table = Table::new(
|
||||
col_positions,
|
||||
row_positions,
|
||||
cells,
|
||||
all_item_indices,
|
||||
));
|
||||
aligned_row_positions,
|
||||
aligned_cells,
|
||||
aligned_item_indices,
|
||||
);
|
||||
let item_count_before_header = aligned_table.item_indices.len();
|
||||
let row_count_before_header = aligned_table.cells.len();
|
||||
recover_unclaimed_header_row(
|
||||
&mut aligned_table,
|
||||
items,
|
||||
has_ragged_rows && !first_row_has_tagged_header,
|
||||
);
|
||||
|
||||
let recovered_header = aligned_table.item_indices.len() > item_count_before_header
|
||||
|| aligned_table.cells.len() > row_count_before_header;
|
||||
let prefer_aligned = recovered_header;
|
||||
|
||||
tables.push(if prefer_aligned {
|
||||
aligned_table
|
||||
} else {
|
||||
legacy_table
|
||||
});
|
||||
}
|
||||
|
||||
tables
|
||||
@@ -374,4 +743,419 @@ mod tests {
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 2);
|
||||
assert_eq!(tables.len(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn realigns_ragged_rows_and_recovers_untagged_header() {
|
||||
let items = vec![
|
||||
make_item("Category", 50.0, 120.0, 1, None),
|
||||
make_item("Potentially", 150.0, 120.0, 1, None),
|
||||
make_item("Summary", 250.0, 120.0, 1, None),
|
||||
make_item("Most commonly", 350.0, 120.0, 1, None),
|
||||
make_item("concerning aspect", 150.0, 110.0, 1, None),
|
||||
make_item("suggested", 350.0, 110.0, 1, None),
|
||||
make_item("of circumstances", 150.0, 100.0, 1, None),
|
||||
make_item("intervention", 350.0, 100.0, 1, None),
|
||||
make_item("Existence of red-teaming", 150.0, 80.0, 1, Some(10)),
|
||||
make_item("Important for safety", 250.0, 80.0, 1, Some(11)),
|
||||
make_item("Ensure welfare interviews", 350.0, 80.0, 1, Some(12)),
|
||||
make_item("Identity & self-knowledge", 50.0, 60.0, 1, Some(20)),
|
||||
make_item("Lack of knowledge", 150.0, 60.0, 1, Some(21)),
|
||||
make_item("Overall negative", 250.0, 60.0, 1, Some(22)),
|
||||
make_item("Describe training process", 350.0, 60.0, 1, Some(23)),
|
||||
make_item("Uncertainty around other copies", 150.0, 40.0, 1, Some(30)),
|
||||
make_item("High uncertainty", 250.0, 40.0, 1, Some(31)),
|
||||
make_item("No intervention suggested", 350.0, 40.0, 1, Some(32)),
|
||||
];
|
||||
|
||||
let struct_tables = vec![StructTable {
|
||||
rows: vec![
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(10, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(11, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(12, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(20, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(21, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(22, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(23, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(30, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(31, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(32, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
}];
|
||||
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
|
||||
assert_eq!(tables.len(), 1);
|
||||
let table = &tables[0];
|
||||
assert_eq!(table.cells.len(), 4);
|
||||
assert_eq!(
|
||||
table.cells[0],
|
||||
vec![
|
||||
"Category",
|
||||
"Potentially concerning aspect of circumstances",
|
||||
"Summary",
|
||||
"Most commonly suggested intervention",
|
||||
]
|
||||
);
|
||||
assert_eq!(table.cells[1][0], "");
|
||||
assert_eq!(table.cells[1][1], "Existence of red-teaming");
|
||||
assert_eq!(table.cells[2][0], "Identity & self-knowledge");
|
||||
assert_eq!(table.cells[3][0], "");
|
||||
assert_eq!(table.columns.len(), 4);
|
||||
assert!(table.columns.windows(2).all(|w| w[0] < w[1]));
|
||||
assert_eq!(table.item_indices.len(), items.len());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn does_not_absorb_caption_above_ragged_struct_table() {
|
||||
let items = vec![
|
||||
make_item("Table 5-7: Summary of responses", 50.0, 120.0, 1, None),
|
||||
make_item("Aspect one", 150.0, 80.0, 1, Some(10)),
|
||||
make_item("Summary one", 250.0, 80.0, 1, Some(11)),
|
||||
make_item("Category", 50.0, 60.0, 1, Some(20)),
|
||||
make_item("Aspect two", 150.0, 60.0, 1, Some(21)),
|
||||
make_item("Summary two", 250.0, 60.0, 1, Some(22)),
|
||||
make_item("Aspect three", 150.0, 40.0, 1, Some(30)),
|
||||
make_item("Summary three", 250.0, 40.0, 1, Some(31)),
|
||||
];
|
||||
|
||||
let struct_tables = vec![StructTable {
|
||||
rows: vec![
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(10, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(11, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(20, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(21, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(22, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(30, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(31, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
}];
|
||||
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
|
||||
assert_eq!(tables.len(), 1);
|
||||
let table = &tables[0];
|
||||
assert_eq!(table.cells.len(), 3);
|
||||
assert!(
|
||||
table
|
||||
.cells
|
||||
.iter()
|
||||
.flatten()
|
||||
.all(|cell| !cell.contains("Table 5-7")),
|
||||
"caption must stay outside the table"
|
||||
);
|
||||
assert!(!table.item_indices.contains(&0));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn keeps_existing_tagged_header_without_absorbing_intro_or_caption() {
|
||||
let items = vec![
|
||||
make_item(
|
||||
"Eighteen people left other comments regarding the Project.",
|
||||
50.0,
|
||||
130.0,
|
||||
1,
|
||||
None,
|
||||
),
|
||||
make_item("Table 5-1:", 220.0, 130.0, 1, None),
|
||||
make_item("Other Comments", 350.0, 130.0, 1, None),
|
||||
make_item("Theme", 50.0, 110.0, 1, Some(10)),
|
||||
make_item("Specific Concern/Inquiry", 200.0, 110.0, 1, Some(11)),
|
||||
make_item("Response", 420.0, 110.0, 1, Some(12)),
|
||||
make_item("Traffic", 50.0, 90.0, 1, Some(20)),
|
||||
make_item("Road conditions", 200.0, 90.0, 1, Some(21)),
|
||||
make_item("Maintenance response", 420.0, 90.0, 1, Some(22)),
|
||||
make_item("Noise", 50.0, 70.0, 1, Some(30)),
|
||||
make_item("Dust concerns", 200.0, 70.0, 1, Some(31)),
|
||||
make_item("Mitigation response", 420.0, 70.0, 1, Some(32)),
|
||||
make_item("Resource Use", 50.0, 50.0, 1, Some(40)),
|
||||
make_item("Snowmobile trails", 200.0, 50.0, 1, Some(41)),
|
||||
make_item("Access response", 420.0, 50.0, 1, Some(42)),
|
||||
];
|
||||
|
||||
let struct_tables = vec![StructTable {
|
||||
rows: vec![
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(10, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(11, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(12, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(20, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(21, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(22, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(30, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(31, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(32, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(40, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(41, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(42, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
}];
|
||||
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
|
||||
assert_eq!(tables.len(), 1);
|
||||
let table = &tables[0];
|
||||
assert_eq!(table.cells.len(), 4);
|
||||
assert_eq!(
|
||||
table.cells[0],
|
||||
vec!["Theme", "Specific Concern/Inquiry", "Response"]
|
||||
);
|
||||
assert!(!table.item_indices.contains(&0));
|
||||
assert!(!table.item_indices.contains(&1));
|
||||
assert!(!table.item_indices.contains(&2));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn does_not_recover_header_for_narrow_two_column_table() {
|
||||
let items = vec![
|
||||
make_item("Alpha", 50.0, 120.0, 1, None),
|
||||
make_item("Beta", 200.0, 120.0, 1, None),
|
||||
make_item("First value", 200.0, 80.0, 1, Some(10)),
|
||||
make_item("Only labeled row", 50.0, 60.0, 1, Some(20)),
|
||||
make_item("Second value", 200.0, 60.0, 1, Some(21)),
|
||||
make_item("Third value", 200.0, 40.0, 1, Some(30)),
|
||||
];
|
||||
|
||||
let struct_tables = vec![StructTable {
|
||||
rows: vec![
|
||||
StructTableRow {
|
||||
cells: vec![StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(10, 1)],
|
||||
}],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(20, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(21, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(30, 1)],
|
||||
}],
|
||||
},
|
||||
],
|
||||
}];
|
||||
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
|
||||
assert_eq!(tables.len(), 1);
|
||||
let table = &tables[0];
|
||||
assert_eq!(table.cells.len(), 3);
|
||||
assert_eq!(table.cells[0], vec!["First value", ""]);
|
||||
assert_eq!(table.cells[1], vec!["Only labeled row", "Second value"]);
|
||||
assert_eq!(table.cells[2], vec!["Third value", ""]);
|
||||
assert!(!table.item_indices.contains(&0));
|
||||
assert!(!table.item_indices.contains(&1));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn ragged_rows_without_recovered_header_keep_legacy_alignment() {
|
||||
let items = vec![
|
||||
make_item("Date", 150.0, 120.0, 1, Some(10)),
|
||||
make_item("Title", 250.0, 120.0, 1, Some(11)),
|
||||
make_item("PE", 350.0, 120.0, 1, Some(12)),
|
||||
make_item("Bidder", 450.0, 120.0, 1, Some(13)),
|
||||
make_item("Amount", 550.0, 120.0, 1, Some(14)),
|
||||
make_item("1", 50.0, 100.0, 1, Some(20)),
|
||||
make_item("8/1", 150.0, 100.0, 1, Some(21)),
|
||||
make_item("Procurement", 250.0, 100.0, 1, Some(22)),
|
||||
make_item("PUC", 350.0, 100.0, 1, Some(23)),
|
||||
make_item("Vendor", 450.0, 100.0, 1, Some(24)),
|
||||
make_item("SR1", 550.0, 100.0, 1, Some(25)),
|
||||
];
|
||||
|
||||
let struct_tables = vec![StructTable {
|
||||
rows: vec![
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(10, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(11, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(12, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(13, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: true,
|
||||
mcids: vec![(14, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
StructTableRow {
|
||||
cells: vec![
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(20, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(21, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(22, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(23, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(24, 1)],
|
||||
},
|
||||
StructTableCell {
|
||||
is_header: false,
|
||||
mcids: vec![(25, 1)],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
}];
|
||||
|
||||
let tables = detect_tables_from_struct_tree(&items, &struct_tables, 1);
|
||||
assert_eq!(tables.len(), 1);
|
||||
let table = &tables[0];
|
||||
assert_eq!(table.cells[0][0], "Date");
|
||||
assert_eq!(table.cells[0][4], "Amount");
|
||||
assert_eq!(table.cells[0][5], "");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -154,6 +154,12 @@ fn is_dots_only(cell: &str) -> bool {
|
||||
dots >= 3 && t.chars().all(|c| c == '.' || c.is_whitespace())
|
||||
}
|
||||
|
||||
fn starts_with_uppercase_word(cell: &str) -> bool {
|
||||
cell.chars()
|
||||
.find(|c| c.is_alphanumeric())
|
||||
.is_some_and(|c| c.is_uppercase())
|
||||
}
|
||||
|
||||
/// Clean up table cells: merge continuation rows, extract footnotes, remove empty rows
|
||||
fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
|
||||
let mut cleaned: Vec<Vec<String>> = Vec::new();
|
||||
@@ -212,11 +218,20 @@ fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
|
||||
let looks_like_data_row = non_first_cells.len() >= 2
|
||||
&& avg_cell_len <= 10.0
|
||||
&& numeric_cells > non_first_cells.len() / 2;
|
||||
let uppercase_leading_cells = non_first_cells
|
||||
.iter()
|
||||
.filter(|cell| starts_with_uppercase_word(cell))
|
||||
.count();
|
||||
let looks_like_spanning_first_column_row = first_cell.is_empty()
|
||||
&& row.len() >= 4
|
||||
&& non_first_cells.len() == row.len().saturating_sub(1)
|
||||
&& uppercase_leading_cells >= non_first_cells.len().saturating_sub(1);
|
||||
// Classic continuation: first cell empty, content in other cells
|
||||
let is_classic_continuation = first_cell.is_empty()
|
||||
&& !non_first_cells.is_empty()
|
||||
&& !is_short_subheader
|
||||
&& !looks_like_data_row
|
||||
&& !looks_like_spanning_first_column_row
|
||||
&& cleaned.len() > 1;
|
||||
|
||||
// Wrapped-cell continuation: row has fewer filled cells than the header
|
||||
@@ -246,6 +261,7 @@ fn clean_table_cells(cells: &[Vec<String>]) -> (Vec<Vec<String>>, Vec<String>) {
|
||||
&& filled_cells <= max_filled_for_merge
|
||||
&& prev_filled > filled_cells
|
||||
&& !looks_like_data_row
|
||||
&& !looks_like_spanning_first_column_row
|
||||
&& !is_short_subheader;
|
||||
|
||||
let is_continuation = is_classic_continuation || is_wrapped_continuation;
|
||||
@@ -415,6 +431,65 @@ mod tests {
|
||||
assert_eq!(cleaned.len(), 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_clean_table_cells_spanning_first_column_row_not_merged() {
|
||||
let cells = vec![
|
||||
vec![
|
||||
"Category".into(),
|
||||
"Potentially concerning aspect".into(),
|
||||
"Summary".into(),
|
||||
"Intervention".into(),
|
||||
],
|
||||
vec![
|
||||
"Identity & self-knowledge".into(),
|
||||
"Lack of knowledge".into(),
|
||||
"Overall negative".into(),
|
||||
"Describe training".into(),
|
||||
],
|
||||
vec![
|
||||
"".into(),
|
||||
"Uncertainty around other copies".into(),
|
||||
"High uncertainty".into(),
|
||||
"No intervention suggested".into(),
|
||||
],
|
||||
];
|
||||
let (cleaned, _) = clean_table_cells(&cells);
|
||||
assert_eq!(cleaned.len(), 3);
|
||||
assert_eq!(cleaned[2][0], "");
|
||||
assert_eq!(cleaned[2][1], "Uncertainty around other copies");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_clean_table_cells_full_width_continuation_row_still_merges_when_lowercase() {
|
||||
let cells = vec![
|
||||
vec![
|
||||
"Classification".into(),
|
||||
"Before tax".into(),
|
||||
"After tax".into(),
|
||||
"Standard equipment".into(),
|
||||
"Options".into(),
|
||||
],
|
||||
vec![
|
||||
"Exclusive Special".into(),
|
||||
"83,500,000".into(),
|
||||
"79,275,000".into(),
|
||||
"Standard equipment".into(),
|
||||
"Option A".into(),
|
||||
],
|
||||
vec![
|
||||
"".into(),
|
||||
"with 3.5% individual consumption tax applied".into(),
|
||||
"with 3.5% individual consumption tax applied".into(),
|
||||
"lighting(crash pad)".into(),
|
||||
"sound system".into(),
|
||||
],
|
||||
];
|
||||
let (cleaned, _) = clean_table_cells(&cells);
|
||||
assert_eq!(cleaned.len(), 2);
|
||||
assert!(cleaned[1][1].contains("83,500,000"));
|
||||
assert!(cleaned[1][1].contains("with 3.5%"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_clean_table_cells_header_row_not_merged() {
|
||||
// Continuation requires cleaned.len() > 1 (don't merge into header)
|
||||
|
||||
@@ -9,6 +9,7 @@ mod detect_struct;
|
||||
mod financial;
|
||||
mod format;
|
||||
mod grid;
|
||||
pub mod structured;
|
||||
|
||||
pub use detect_heuristic::detect_tables;
|
||||
pub(crate) use detect_heuristic::is_table_of_contents;
|
||||
@@ -17,6 +18,7 @@ pub(crate) use detect_rects::cluster_rects;
|
||||
pub use detect_rects::{detect_tables_from_rects, RectHintRegion};
|
||||
pub use detect_struct::detect_tables_from_struct_tree;
|
||||
pub use format::table_to_markdown;
|
||||
pub use structured::{cells_to_markdown, StructuredCell};
|
||||
|
||||
use crate::types::TextItem;
|
||||
|
||||
|
||||
@@ -0,0 +1,972 @@
|
||||
//! Structure-recovery-aware (TSR) table assembly.
|
||||
//!
|
||||
//! Consumes the raw output of an external table-structure recognition model
|
||||
//! (e.g. SLANet on PaddleOCR): a flat list of HTML structure tokens plus a
|
||||
//! parallel list of per-cell bboxes. Pairs each cell open-tag with its bbox
|
||||
//! in document order, tracks row/column position with rowspan/colspan
|
||||
//! awareness, and emits a markdown pipe-table.
|
||||
//!
|
||||
//! No real HTML parser is needed — the token grammar is restricted (see
|
||||
//! [`parse_structure`]), so a small state machine is enough.
|
||||
//!
|
||||
//! Cell text is supplied separately by the caller (typically by overlap-
|
||||
//! testing PDF text items against each cell's page-PDF-pt bbox).
|
||||
|
||||
use std::collections::{HashMap, HashSet};
|
||||
|
||||
/// A single resolved cell, with both structural metadata and its bbox in
|
||||
/// page PDF-points (top-left origin).
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct StructuredCell {
|
||||
/// 0-indexed grid row.
|
||||
pub row: usize,
|
||||
/// 0-indexed grid column.
|
||||
pub col: usize,
|
||||
/// 1 for a normal cell.
|
||||
pub rowspan: usize,
|
||||
/// 1 for a normal cell.
|
||||
pub colspan: usize,
|
||||
/// `true` when the cell is a `<th>` or sits inside `<thead>`.
|
||||
pub is_header: bool,
|
||||
/// Cell text (filled in by the caller after overlap-testing PDF items).
|
||||
pub text: String,
|
||||
/// Axis-aligned bbox `[x1, y1, x2, y2]` in page PDF-points, top-left origin.
|
||||
pub page_pt_bbox: [f32; 4],
|
||||
}
|
||||
|
||||
/// Intermediate parse result before the caller fills in text + page coords.
|
||||
#[derive(Debug, Clone)]
|
||||
pub(crate) struct CellSlot {
|
||||
pub row: usize,
|
||||
pub col: usize,
|
||||
pub rowspan: usize,
|
||||
pub colspan: usize,
|
||||
pub is_header: bool,
|
||||
/// Index into the parallel `cell_bboxes` array.
|
||||
pub bbox_idx: usize,
|
||||
}
|
||||
|
||||
/// Parse a sequence of SLANet structure tokens into ordered cell slots.
|
||||
///
|
||||
/// Token grammar (no real HTML parsing required):
|
||||
/// - Section markers: `<thead>`, `</thead>`, `<tbody>`, `</tbody>` and
|
||||
/// wrapper tokens (`<html>`, `<body>`, `<table>`, plus closing variants)
|
||||
/// are tracked or skipped.
|
||||
/// - Row markers: `<tr>` opens a new row, `</tr>` is informational.
|
||||
/// - Empty cell, single token: `<td></td>` or `<th></th>`.
|
||||
/// - Cell with attributes, multi-token sequence: `<td` (or `<th`), then
|
||||
/// attribute fragments like ` colspan="4"`, then `>`, then later `</td>`
|
||||
/// (or `</th>`). Cells get paired with the next bbox in document order.
|
||||
///
|
||||
/// Cells inside `<thead>` and any `<th>` cells are flagged as headers.
|
||||
/// rowspan/colspan attributes are honoured and prior-row rowspans push
|
||||
/// later-row cells to the right.
|
||||
pub(crate) fn parse_structure(tokens: &[String]) -> Vec<CellSlot> {
|
||||
let mut slots: Vec<CellSlot> = Vec::new();
|
||||
let mut occupied: HashSet<(usize, usize)> = HashSet::new();
|
||||
let mut row: usize = 0;
|
||||
let mut col: usize = 0;
|
||||
let mut bbox_idx: usize = 0;
|
||||
let mut in_thead = false;
|
||||
let mut started_first_row = false;
|
||||
|
||||
let mut i = 0;
|
||||
while i < tokens.len() {
|
||||
let tok = tokens[i].trim();
|
||||
match tok {
|
||||
"<thead>" => {
|
||||
in_thead = true;
|
||||
}
|
||||
"</thead>" => {
|
||||
in_thead = false;
|
||||
}
|
||||
"<tr>" => {
|
||||
if started_first_row {
|
||||
row += 1;
|
||||
}
|
||||
col = 0;
|
||||
started_first_row = true;
|
||||
}
|
||||
"<td></td>" | "<th></th>" => {
|
||||
let is_th = tok == "<th></th>";
|
||||
while occupied.contains(&(row, col)) {
|
||||
col += 1;
|
||||
}
|
||||
slots.push(CellSlot {
|
||||
row,
|
||||
col,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: in_thead || is_th,
|
||||
bbox_idx,
|
||||
});
|
||||
bbox_idx += 1;
|
||||
col += 1;
|
||||
}
|
||||
"<td" | "<th" => {
|
||||
let is_th = tok == "<th";
|
||||
let mut rowspan: usize = 1;
|
||||
let mut colspan: usize = 1;
|
||||
// Consume attribute fragments until we hit ">".
|
||||
i += 1;
|
||||
while i < tokens.len() && tokens[i].trim() != ">" {
|
||||
let attr = tokens[i].as_str();
|
||||
if let Some(v) = parse_int_attr(attr, "rowspan") {
|
||||
rowspan = v.max(1);
|
||||
} else if let Some(v) = parse_int_attr(attr, "colspan") {
|
||||
colspan = v.max(1);
|
||||
}
|
||||
i += 1;
|
||||
}
|
||||
// i now points at the `>` token (or off the end if malformed).
|
||||
while occupied.contains(&(row, col)) {
|
||||
col += 1;
|
||||
}
|
||||
slots.push(CellSlot {
|
||||
row,
|
||||
col,
|
||||
rowspan,
|
||||
colspan,
|
||||
is_header: in_thead || is_th,
|
||||
bbox_idx,
|
||||
});
|
||||
for r in row..row + rowspan {
|
||||
for c in col..col + colspan {
|
||||
occupied.insert((r, c));
|
||||
}
|
||||
}
|
||||
bbox_idx += 1;
|
||||
col += colspan;
|
||||
}
|
||||
// Wrapper / informational tokens — no-op.
|
||||
_ => {}
|
||||
}
|
||||
i += 1;
|
||||
}
|
||||
|
||||
slots
|
||||
}
|
||||
|
||||
/// Parse an attribute fragment like ` colspan="4"` or `rowspan='2'`.
|
||||
///
|
||||
/// Tolerates leading whitespace and either single or double quotes.
|
||||
fn parse_int_attr(s: &str, name: &str) -> Option<usize> {
|
||||
let trimmed = s.trim();
|
||||
if !trimmed.starts_with(name) {
|
||||
return None;
|
||||
}
|
||||
let rest = trimmed[name.len()..].trim_start();
|
||||
let rest = rest.strip_prefix('=')?.trim_start();
|
||||
let value = rest
|
||||
.trim_start_matches(['"', '\''])
|
||||
.trim_end_matches(['"', '\'']);
|
||||
value.parse().ok()
|
||||
}
|
||||
|
||||
/// Convert a SLANet polygon (4 or 8 elements) into an axis-aligned
|
||||
/// `[x1, y1, x2, y2]` rect.
|
||||
///
|
||||
/// 8-element form: `[x1,y1, x2,y1, x2,y2, x1,y2]` (4 corners). We ignore the
|
||||
/// implicit corner order and just take min/max so rotated polygons collapse
|
||||
/// to a sane bounding box.
|
||||
///
|
||||
/// 4-element form: `[x1, y1, x2, y2]` (axis-aligned, older SLANet variants).
|
||||
pub(crate) fn polygon_to_aabb(coords: &[f32]) -> Option<[f32; 4]> {
|
||||
match coords.len() {
|
||||
4 => {
|
||||
let x1 = coords[0].min(coords[2]);
|
||||
let y1 = coords[1].min(coords[3]);
|
||||
let x2 = coords[0].max(coords[2]);
|
||||
let y2 = coords[1].max(coords[3]);
|
||||
Some([x1, y1, x2, y2])
|
||||
}
|
||||
8 => {
|
||||
let xs = [coords[0], coords[2], coords[4], coords[6]];
|
||||
let ys = [coords[1], coords[3], coords[5], coords[7]];
|
||||
let x1 = xs.iter().copied().fold(f32::INFINITY, f32::min);
|
||||
let y1 = ys.iter().copied().fold(f32::INFINITY, f32::min);
|
||||
let x2 = xs.iter().copied().fold(f32::NEG_INFINITY, f32::max);
|
||||
let y2 = ys.iter().copied().fold(f32::NEG_INFINITY, f32::max);
|
||||
if x1.is_finite() && y1.is_finite() && x2.is_finite() && y2.is_finite() {
|
||||
Some([x1, y1, x2, y2])
|
||||
} else {
|
||||
None
|
||||
}
|
||||
}
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Convert a cell rect from crop image-pixel space to page PDF-points
|
||||
/// (top-left origin), given the crop's PDF-point offset on the page and the
|
||||
/// DPI the crop image was rendered at.
|
||||
pub(crate) fn cell_px_to_page_pt(
|
||||
cell_px: [f32; 4],
|
||||
render_dpi: f32,
|
||||
crop_origin_pt: [f32; 2],
|
||||
) -> [f32; 4] {
|
||||
let pt_per_px = if render_dpi > 0.0 {
|
||||
72.0 / render_dpi
|
||||
} else {
|
||||
1.0
|
||||
};
|
||||
let [x_off, y_off] = crop_origin_pt;
|
||||
[
|
||||
cell_px[0] * pt_per_px + x_off,
|
||||
cell_px[1] * pt_per_px + y_off,
|
||||
cell_px[2] * pt_per_px + x_off,
|
||||
cell_px[3] * pt_per_px + y_off,
|
||||
]
|
||||
}
|
||||
|
||||
/// Refine TSR cell bboxes into non-overlapping row/column bands.
|
||||
///
|
||||
/// SLANet-style bboxes are often plausible but too tall on dense borderless
|
||||
/// tables. Native PDF text assignment is more reliable when each parsed row
|
||||
/// owns the band between neighboring row centers instead of the full model box.
|
||||
pub(crate) fn normalize_cell_bands(cells: &mut [StructuredCell]) {
|
||||
if cells.len() < 2 {
|
||||
return;
|
||||
}
|
||||
|
||||
let row_bands = derive_axis_bands(cells, Axis::Y);
|
||||
let col_bands = derive_axis_bands(cells, Axis::X);
|
||||
|
||||
for cell in cells {
|
||||
let row_end = cell.row + cell.rowspan.max(1).saturating_sub(1);
|
||||
if let (Some(&(y1, _)), Some(&(_, y2))) =
|
||||
(row_bands.get(&cell.row), row_bands.get(&row_end))
|
||||
{
|
||||
let clamped_y1 = cell.page_pt_bbox[1].max(y1);
|
||||
let clamped_y2 = cell.page_pt_bbox[3].min(y2);
|
||||
if clamped_y1 < clamped_y2 {
|
||||
cell.page_pt_bbox[1] = clamped_y1;
|
||||
cell.page_pt_bbox[3] = clamped_y2;
|
||||
}
|
||||
}
|
||||
|
||||
let col_end = cell.col + cell.colspan.max(1).saturating_sub(1);
|
||||
if let (Some(&(x1, _)), Some(&(_, x2))) =
|
||||
(col_bands.get(&cell.col), col_bands.get(&col_end))
|
||||
{
|
||||
let clamped_x1 = cell.page_pt_bbox[0].max(x1);
|
||||
let clamped_x2 = cell.page_pt_bbox[2].min(x2);
|
||||
if clamped_x1 < clamped_x2 {
|
||||
cell.page_pt_bbox[0] = clamped_x1;
|
||||
cell.page_pt_bbox[2] = clamped_x2;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy)]
|
||||
enum Axis {
|
||||
X,
|
||||
Y,
|
||||
}
|
||||
|
||||
fn derive_axis_bands(cells: &[StructuredCell], axis: Axis) -> HashMap<usize, (f32, f32)> {
|
||||
let mut by_index: HashMap<usize, Vec<(f32, f32)>> = HashMap::new();
|
||||
|
||||
// Prefer non-spanning cells so colspan/rowspan boxes do not skew a single
|
||||
// column/row center. If an axis has no non-spanning examples for an index,
|
||||
// fall back to anchored cells below.
|
||||
for cell in cells {
|
||||
let span = match axis {
|
||||
Axis::X => cell.colspan.max(1),
|
||||
Axis::Y => cell.rowspan.max(1),
|
||||
};
|
||||
if span == 1 {
|
||||
let idx = match axis {
|
||||
Axis::X => cell.col,
|
||||
Axis::Y => cell.row,
|
||||
};
|
||||
by_index
|
||||
.entry(idx)
|
||||
.or_default()
|
||||
.push(axis_bounds(cell.page_pt_bbox, axis));
|
||||
}
|
||||
}
|
||||
|
||||
for cell in cells {
|
||||
let idx = match axis {
|
||||
Axis::X => cell.col,
|
||||
Axis::Y => cell.row,
|
||||
};
|
||||
if !by_index.contains_key(&idx) {
|
||||
by_index
|
||||
.entry(idx)
|
||||
.or_default()
|
||||
.push(axis_bounds(cell.page_pt_bbox, axis));
|
||||
}
|
||||
}
|
||||
|
||||
let mut rows: Vec<(usize, f32, f32, f32)> = by_index
|
||||
.into_iter()
|
||||
.filter_map(|(idx, bounds)| {
|
||||
let mut min_edge = f32::INFINITY;
|
||||
let mut max_edge = f32::NEG_INFINITY;
|
||||
let mut center_sum = 0.0;
|
||||
let mut count = 0usize;
|
||||
for (lo, hi) in bounds {
|
||||
if lo.is_finite() && hi.is_finite() && lo < hi {
|
||||
min_edge = min_edge.min(lo);
|
||||
max_edge = max_edge.max(hi);
|
||||
center_sum += (lo + hi) * 0.5;
|
||||
count += 1;
|
||||
}
|
||||
}
|
||||
(count > 0).then_some((idx, center_sum / count as f32, min_edge, max_edge))
|
||||
})
|
||||
.collect();
|
||||
|
||||
if rows.len() < 2 {
|
||||
return rows
|
||||
.into_iter()
|
||||
.map(|(idx, _center, lo, hi)| (idx, (lo, hi)))
|
||||
.collect();
|
||||
}
|
||||
|
||||
rows.sort_by_key(|(idx, _, _, _)| *idx);
|
||||
|
||||
let mut bands = HashMap::new();
|
||||
for i in 0..rows.len() {
|
||||
let (idx, _center, min_edge, max_edge) = rows[i];
|
||||
let lo = if i == 0 {
|
||||
min_edge
|
||||
} else {
|
||||
(rows[i - 1].1 + rows[i].1) * 0.5
|
||||
};
|
||||
let hi = if i + 1 == rows.len() {
|
||||
max_edge
|
||||
} else {
|
||||
(rows[i].1 + rows[i + 1].1) * 0.5
|
||||
};
|
||||
if lo.is_finite() && hi.is_finite() && lo < hi {
|
||||
bands.insert(idx, (lo, hi));
|
||||
}
|
||||
}
|
||||
|
||||
bands
|
||||
}
|
||||
|
||||
fn axis_bounds(bbox: [f32; 4], axis: Axis) -> (f32, f32) {
|
||||
match axis {
|
||||
Axis::X => (bbox[0].min(bbox[2]), bbox[0].max(bbox[2])),
|
||||
Axis::Y => (bbox[1].min(bbox[3]), bbox[1].max(bbox[3])),
|
||||
}
|
||||
}
|
||||
|
||||
/// Sanitize cell text for inclusion in a markdown pipe-table cell:
|
||||
/// collapse whitespace runs, drop newlines/tabs (cells must be one line),
|
||||
/// and escape pipes that would otherwise break the table.
|
||||
fn sanitize_cell(text: &str) -> String {
|
||||
let mut s = String::with_capacity(text.len());
|
||||
let mut prev_space = false;
|
||||
for c in text.chars() {
|
||||
match c {
|
||||
'|' => {
|
||||
s.push_str("\\|");
|
||||
prev_space = false;
|
||||
}
|
||||
'\n' | '\r' | '\t' | ' ' => {
|
||||
if !prev_space {
|
||||
s.push(' ');
|
||||
}
|
||||
prev_space = true;
|
||||
}
|
||||
other => {
|
||||
s.push(other);
|
||||
prev_space = false;
|
||||
}
|
||||
}
|
||||
}
|
||||
s.trim().to_string()
|
||||
}
|
||||
|
||||
/// Render a list of explicitly-positioned cells as a markdown pipe-table.
|
||||
///
|
||||
/// Grid dimensions are inferred from the cells' (row, col, rowspan, colspan)
|
||||
/// extents. A cell with colspan/rowspan > 1 is rendered in its top-left
|
||||
/// position; the absorbed grid positions are emitted as empty cells so the
|
||||
/// markdown stays a valid rectangular grid that downstream readers can
|
||||
/// column-count correctly.
|
||||
///
|
||||
/// The separator row (`|---|...|`) is emitted after the **last** row that
|
||||
/// contains a header cell (`is_header == true`). When no cells are flagged
|
||||
/// as headers — e.g. the upstream TSR model didn't emit `<thead>`/`<th>` —
|
||||
/// the separator falls back to "after row 0" so the output is still a
|
||||
/// valid pipe-table.
|
||||
pub fn cells_to_markdown(cells: &[StructuredCell]) -> String {
|
||||
if cells.is_empty() {
|
||||
return String::new();
|
||||
}
|
||||
let num_rows = cells
|
||||
.iter()
|
||||
.map(|c| c.row + c.rowspan.max(1))
|
||||
.max()
|
||||
.unwrap_or(0);
|
||||
let num_cols = cells
|
||||
.iter()
|
||||
.map(|c| c.col + c.colspan.max(1))
|
||||
.max()
|
||||
.unwrap_or(0);
|
||||
if num_rows == 0 || num_cols == 0 {
|
||||
return String::new();
|
||||
}
|
||||
|
||||
// Separator goes after the last header row, falling back to row 0 when
|
||||
// no header cells exist. Clamped into range so a malformed cell with
|
||||
// row >= num_rows can't push it past the table.
|
||||
let separator_after_row = cells
|
||||
.iter()
|
||||
.filter(|c| c.is_header)
|
||||
.map(|c| c.row)
|
||||
.max()
|
||||
.unwrap_or(0)
|
||||
.min(num_rows.saturating_sub(1));
|
||||
|
||||
let mut grid: Vec<Vec<String>> = vec![vec![String::new(); num_cols]; num_rows];
|
||||
for cell in cells {
|
||||
if cell.row < num_rows && cell.col < num_cols {
|
||||
grid[cell.row][cell.col] = sanitize_cell(&cell.text);
|
||||
}
|
||||
}
|
||||
|
||||
let mut output = String::new();
|
||||
for (row_idx, row) in grid.iter().enumerate() {
|
||||
output.push('|');
|
||||
for cell in row {
|
||||
output.push_str(cell);
|
||||
output.push('|');
|
||||
}
|
||||
output.push('\n');
|
||||
if row_idx == separator_after_row {
|
||||
output.push('|');
|
||||
for _ in 0..num_cols {
|
||||
output.push_str("---|");
|
||||
}
|
||||
output.push('\n');
|
||||
}
|
||||
}
|
||||
output
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
fn t(s: &str) -> String {
|
||||
s.to_string()
|
||||
}
|
||||
|
||||
/// Tokens for the synthetic 3×3 grid example (one colspan-4 row + two
|
||||
/// data rows of 4 cells each = 9 cells total, 3 rows × 4 cols).
|
||||
fn synthetic_3x3_tokens() -> Vec<String> {
|
||||
vec![
|
||||
"<html>",
|
||||
"<body>",
|
||||
"<table>",
|
||||
"<tbody>",
|
||||
"<tr>",
|
||||
"<td",
|
||||
" colspan=\"4\"",
|
||||
">",
|
||||
"</td>",
|
||||
"</tr>",
|
||||
"<tr>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"<tr>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"</tbody>",
|
||||
"</table>",
|
||||
"</body>",
|
||||
"</html>",
|
||||
]
|
||||
.into_iter()
|
||||
.map(t)
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Bboxes for the synthetic 3×3 grid (8-element polygon form), all
|
||||
/// within a 400×120 px crop.
|
||||
fn synthetic_3x3_bboxes() -> Vec<Vec<f32>> {
|
||||
vec![
|
||||
vec![3.0, 2.0, 395.0, 2.0, 396.0, 59.0, 3.0, 59.0],
|
||||
vec![26.0, 62.0, 140.0, 62.0, 141.0, 120.0, 26.0, 120.0],
|
||||
vec![149.0, 64.0, 248.0, 64.0, 248.0, 119.0, 149.0, 119.0],
|
||||
vec![257.0, 64.0, 350.0, 64.0, 350.0, 119.0, 257.0, 119.0],
|
||||
vec![359.0, 64.0, 395.0, 64.0, 395.0, 119.0, 359.0, 119.0],
|
||||
vec![26.0, 122.0, 140.0, 122.0, 140.0, 178.0, 26.0, 178.0],
|
||||
vec![149.0, 124.0, 248.0, 124.0, 248.0, 179.0, 149.0, 179.0],
|
||||
vec![257.0, 124.0, 350.0, 124.0, 350.0, 179.0, 257.0, 179.0],
|
||||
vec![359.0, 124.0, 395.0, 124.0, 395.0, 179.0, 359.0, 179.0],
|
||||
]
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_structure_synthetic_3x3() {
|
||||
let tokens = synthetic_3x3_tokens();
|
||||
let slots = parse_structure(&tokens);
|
||||
|
||||
assert_eq!(slots.len(), 9, "should parse 9 cells");
|
||||
|
||||
// Cell 0: row 0 col 0, colspan 4
|
||||
assert_eq!(slots[0].row, 0);
|
||||
assert_eq!(slots[0].col, 0);
|
||||
assert_eq!(slots[0].colspan, 4);
|
||||
assert_eq!(slots[0].rowspan, 1);
|
||||
|
||||
// Cells 1..5: row 1, cols 0..3
|
||||
for (i, slot) in slots.iter().enumerate().skip(1).take(4) {
|
||||
assert_eq!(slot.row, 1, "cell {i}: row should be 1");
|
||||
assert_eq!(slot.col, i - 1, "cell {i}: col should be {}", i - 1);
|
||||
assert_eq!(slot.colspan, 1);
|
||||
assert_eq!(slot.rowspan, 1);
|
||||
}
|
||||
|
||||
// Cells 5..9: row 2, cols 0..3
|
||||
for (i, slot) in slots.iter().enumerate().skip(5).take(4) {
|
||||
assert_eq!(slot.row, 2, "cell {i}: row should be 2");
|
||||
assert_eq!(slot.col, i - 5);
|
||||
assert_eq!(slot.colspan, 1);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn polygon_to_aabb_8elt() {
|
||||
// Synthetic cell bbox 0
|
||||
let coords = vec![3.0, 2.0, 395.0, 2.0, 396.0, 59.0, 3.0, 59.0];
|
||||
let aabb = polygon_to_aabb(&coords).unwrap();
|
||||
assert_eq!(aabb, [3.0, 2.0, 396.0, 59.0]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn polygon_to_aabb_4elt() {
|
||||
let coords = vec![5.0, 10.0, 50.0, 60.0];
|
||||
let aabb = polygon_to_aabb(&coords).unwrap();
|
||||
assert_eq!(aabb, [5.0, 10.0, 50.0, 60.0]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn polygon_to_aabb_4elt_unordered() {
|
||||
// Caller may pass corners in any order; min/max should normalise.
|
||||
let coords = vec![50.0, 60.0, 5.0, 10.0];
|
||||
let aabb = polygon_to_aabb(&coords).unwrap();
|
||||
assert_eq!(aabb, [5.0, 10.0, 50.0, 60.0]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn polygon_to_aabb_invalid_len() {
|
||||
assert!(polygon_to_aabb(&[1.0, 2.0, 3.0]).is_none());
|
||||
assert!(polygon_to_aabb(&[1.0; 6]).is_none());
|
||||
assert!(polygon_to_aabb(&[]).is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn synthetic_3x3_aabbs_inside_crop() {
|
||||
// All 9 bboxes should produce valid (x1<x2, y1<y2) rects within the
|
||||
// crop bounds (400 wide, ~180 tall by inspection of the fixture).
|
||||
let bboxes = synthetic_3x3_bboxes();
|
||||
assert_eq!(bboxes.len(), 9);
|
||||
for (i, bb) in bboxes.iter().enumerate() {
|
||||
let aabb = polygon_to_aabb(bb).unwrap_or_else(|| panic!("bbox {i} invalid"));
|
||||
assert!(aabb[0] < aabb[2], "bbox {i}: x1 < x2");
|
||||
assert!(aabb[1] < aabb[3], "bbox {i}: y1 < y2");
|
||||
assert!(aabb[0] >= 0.0 && aabb[2] <= 500.0, "bbox {i}: within crop");
|
||||
assert!(aabb[1] >= 0.0 && aabb[3] <= 200.0, "bbox {i}: within crop");
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn normalize_cell_bands_splits_overlapping_slanet_rows() {
|
||||
let mut cells = vec![
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: true,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [10.0, 100.0, 90.0, 120.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 1,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: true,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [90.0, 100.0, 170.0, 120.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [10.0, 116.0, 90.0, 136.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 1,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [90.0, 116.0, 170.0, 136.0],
|
||||
},
|
||||
];
|
||||
|
||||
normalize_cell_bands(&mut cells);
|
||||
|
||||
assert_eq!(cells[0].page_pt_bbox[3], cells[2].page_pt_bbox[1]);
|
||||
assert_eq!(cells[1].page_pt_bbox[3], cells[3].page_pt_bbox[1]);
|
||||
assert!(
|
||||
(cells[0].page_pt_bbox[3] - 118.0).abs() < 0.01,
|
||||
"row separator should be midpoint between row centers: {:?}",
|
||||
cells
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn normalize_cell_bands_preserves_colspan_extent() {
|
||||
let mut cells = vec![
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 2,
|
||||
is_header: true,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [8.0, 80.0, 172.0, 98.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [10.0, 96.0, 90.0, 114.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 1,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: String::new(),
|
||||
page_pt_bbox: [88.0, 96.0, 170.0, 114.0],
|
||||
},
|
||||
];
|
||||
|
||||
normalize_cell_bands(&mut cells);
|
||||
|
||||
assert!(
|
||||
cells[0].page_pt_bbox[0] <= cells[1].page_pt_bbox[0],
|
||||
"spanning cell should retain the first column's left edge"
|
||||
);
|
||||
assert!(
|
||||
cells[0].page_pt_bbox[2] >= cells[2].page_pt_bbox[2],
|
||||
"spanning cell should retain the last column's right edge"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_int_attr_basic() {
|
||||
assert_eq!(parse_int_attr(" colspan=\"4\"", "colspan"), Some(4));
|
||||
assert_eq!(parse_int_attr(" rowspan=\"2\"", "rowspan"), Some(2));
|
||||
assert_eq!(parse_int_attr("colspan='3'", "colspan"), Some(3));
|
||||
assert_eq!(parse_int_attr(" colspan=\"4\"", "rowspan"), None);
|
||||
assert_eq!(parse_int_attr(" class=\"foo\"", "colspan"), None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_structure_rowspan_pushes_next_row_right() {
|
||||
// <tr><td rowspan="2">A</td><td>B</td></tr><tr><td>C</td></tr>
|
||||
// Expected: A at (0,0), B at (0,1), C at (1,1) — col 0 of row 1
|
||||
// is occupied by A's rowspan.
|
||||
let tokens: Vec<String> = vec![
|
||||
"<table>",
|
||||
"<tbody>",
|
||||
"<tr>",
|
||||
"<td",
|
||||
" rowspan=\"2\"",
|
||||
">",
|
||||
"</td>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"<tr>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"</tbody>",
|
||||
"</table>",
|
||||
]
|
||||
.into_iter()
|
||||
.map(t)
|
||||
.collect();
|
||||
|
||||
let slots = parse_structure(&tokens);
|
||||
assert_eq!(slots.len(), 3);
|
||||
assert_eq!((slots[0].row, slots[0].col), (0, 0));
|
||||
assert_eq!(slots[0].rowspan, 2);
|
||||
assert_eq!((slots[1].row, slots[1].col), (0, 1));
|
||||
// C should be at (1, 1) because (1, 0) is occupied by A's rowspan.
|
||||
assert_eq!((slots[2].row, slots[2].col), (1, 1));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_structure_thead_marks_headers() {
|
||||
// <thead><tr><th>H1</th><th>H2</th></tr></thead>
|
||||
// <tbody><tr><td>D1</td><td>D2</td></tr></tbody>
|
||||
let tokens: Vec<String> = vec![
|
||||
"<table>",
|
||||
"<thead>",
|
||||
"<tr>",
|
||||
"<th></th>",
|
||||
"<th></th>",
|
||||
"</tr>",
|
||||
"</thead>",
|
||||
"<tbody>",
|
||||
"<tr>",
|
||||
"<td></td>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"</tbody>",
|
||||
"</table>",
|
||||
]
|
||||
.into_iter()
|
||||
.map(t)
|
||||
.collect();
|
||||
|
||||
let slots = parse_structure(&tokens);
|
||||
assert_eq!(slots.len(), 4);
|
||||
assert!(slots[0].is_header && slots[1].is_header);
|
||||
assert!(!slots[2].is_header && !slots[3].is_header);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_structure_th_outside_thead_still_header() {
|
||||
// A row-header style: leading <th> in tbody.
|
||||
let tokens: Vec<String> = vec![
|
||||
"<table>",
|
||||
"<tbody>",
|
||||
"<tr>",
|
||||
"<th></th>",
|
||||
"<td></td>",
|
||||
"</tr>",
|
||||
"</tbody>",
|
||||
"</table>",
|
||||
]
|
||||
.into_iter()
|
||||
.map(t)
|
||||
.collect();
|
||||
|
||||
let slots = parse_structure(&tokens);
|
||||
assert_eq!(slots.len(), 2);
|
||||
assert!(slots[0].is_header);
|
||||
assert!(!slots[1].is_header);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parse_structure_th_with_attrs() {
|
||||
let tokens: Vec<String> = vec![
|
||||
"<table>",
|
||||
"<thead>",
|
||||
"<tr>",
|
||||
"<th",
|
||||
" colspan=\"2\"",
|
||||
">",
|
||||
"</th>",
|
||||
"</tr>",
|
||||
"</thead>",
|
||||
"</table>",
|
||||
]
|
||||
.into_iter()
|
||||
.map(t)
|
||||
.collect();
|
||||
let slots = parse_structure(&tokens);
|
||||
assert_eq!(slots.len(), 1);
|
||||
assert_eq!(slots[0].colspan, 2);
|
||||
assert!(slots[0].is_header);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_synthetic_3x3() {
|
||||
// Build the cells the parser would produce for the synthetic grid,
|
||||
// and provide some sample text so we can sanity-check output.
|
||||
let cells = vec![
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 4,
|
||||
is_header: false,
|
||||
text: "Title".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "a".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 1,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "b".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 2,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "c".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 1,
|
||||
col: 3,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "d".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
];
|
||||
|
||||
let md = cells_to_markdown(&cells);
|
||||
// Header row contains the spanning cell text in col 0 and pads to 4 cols.
|
||||
// Absorbed-by-colspan positions render as empty cells (no padding).
|
||||
assert!(md.starts_with("|Title||||\n"), "got: {md}");
|
||||
assert!(md.contains("|---|---|---|---|\n"));
|
||||
assert!(md.contains("|a|b|c|d|\n"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_escapes_pipes() {
|
||||
let cells = vec![
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "a|b".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
StructuredCell {
|
||||
row: 0,
|
||||
col: 1,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "x".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
},
|
||||
];
|
||||
let md = cells_to_markdown(&cells);
|
||||
assert!(md.contains("|a\\|b|x|"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_collapses_whitespace_and_newlines() {
|
||||
let cells = vec![StructuredCell {
|
||||
row: 0,
|
||||
col: 0,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header: false,
|
||||
text: "foo \n bar\tbaz".into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
}];
|
||||
let md = cells_to_markdown(&cells);
|
||||
assert!(md.contains("|foo bar baz|"));
|
||||
}
|
||||
|
||||
fn cell(row: usize, col: usize, is_header: bool, text: &str) -> StructuredCell {
|
||||
StructuredCell {
|
||||
row,
|
||||
col,
|
||||
rowspan: 1,
|
||||
colspan: 1,
|
||||
is_header,
|
||||
text: text.into(),
|
||||
page_pt_bbox: [0.0, 0.0, 0.0, 0.0],
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_separator_after_last_header_row() {
|
||||
// Two-row header (a multi-row thead), then two body rows. Separator
|
||||
// should land after row 1 (the LAST header row), not after row 0.
|
||||
let cells = vec![
|
||||
cell(0, 0, true, "H0a"),
|
||||
cell(0, 1, true, "H0b"),
|
||||
cell(1, 0, true, "H1a"),
|
||||
cell(1, 1, true, "H1b"),
|
||||
cell(2, 0, false, "d0a"),
|
||||
cell(2, 1, false, "d0b"),
|
||||
cell(3, 0, false, "d1a"),
|
||||
cell(3, 1, false, "d1b"),
|
||||
];
|
||||
let md = cells_to_markdown(&cells);
|
||||
let expected = "|H0a|H0b|\n|H1a|H1b|\n|---|---|\n|d0a|d0b|\n|d1a|d1b|\n";
|
||||
assert_eq!(md, expected, "got: {md}");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_separator_when_row_0_not_header() {
|
||||
// Row 0 is not flagged as a header but row 1 is. Separator should
|
||||
// follow row 1 (the header), demonstrating that we don't blindly
|
||||
// emit after row 0.
|
||||
let cells = vec![
|
||||
cell(0, 0, false, "x0a"),
|
||||
cell(0, 1, false, "x0b"),
|
||||
cell(1, 0, true, "Hdr1"),
|
||||
cell(1, 1, true, "Hdr2"),
|
||||
cell(2, 0, false, "data1"),
|
||||
cell(2, 1, false, "data2"),
|
||||
];
|
||||
let md = cells_to_markdown(&cells);
|
||||
// Confirm the separator is NOT after row 0.
|
||||
assert!(!md.starts_with("|x0a|x0b|\n|---|"), "got: {md}");
|
||||
// Confirm it IS after row 1.
|
||||
assert!(
|
||||
md.contains("|Hdr1|Hdr2|\n|---|---|\n|data1|data2|"),
|
||||
"got: {md}"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cells_to_markdown_no_headers_falls_back_to_row_0() {
|
||||
// No header cells at all — fallback: separator after row 0 so the
|
||||
// output is still a valid markdown pipe-table.
|
||||
let cells = vec![
|
||||
cell(0, 0, false, "a"),
|
||||
cell(0, 1, false, "b"),
|
||||
cell(1, 0, false, "c"),
|
||||
cell(1, 1, false, "d"),
|
||||
];
|
||||
let md = cells_to_markdown(&cells);
|
||||
assert_eq!(md, "|a|b|\n|---|---|\n|c|d|\n");
|
||||
}
|
||||
}
|
||||
BIN
Binary file not shown.
BIN
Binary file not shown.
+1337
-5
File diff suppressed because it is too large
Load Diff
@@ -1,9 +1,9 @@
|
||||
본 가격표는 국내 거주 중인 외국인을 위한 한국어 가격표의 비공식 번역본입니다. ※ The post-tax benefit sales price is provided for your reference only, reflecting the current tax benefits and eco-friendly vehicle individual consumption tax reductions. 본 가격표와 한국어 가격표의 내용이 상이한 경우 한국어 가격표의 내용이 우선하므로, 반드시 한국어 가격표의 내용을 확인하십시오. The final sales price may vary depending on the addition of optional items and whether the eco-friendly vehicle criteria are met, so please be sure to check the quotation. This price list is an unofficial translation of the Korean price list for the convenience of foreign residents in South Korea. ※ Please check the Korean price list for information on colors, details, and fuel consumption for each model. If the price list differs from the Korean price list, please check the contents of the Korean price list first. ※ All optional item prices are listed based on pre-tax reduction amounts. The actual sales price, which reflects the total individual consumption tax reduction including optional items, may differ depending on applicable tax benefits. ※ The items (specifications, colors, etc.) and prices listed in this pricing table are subject to change without prior notice depending on the holding of new car launch events, improvements made in automobile performance, introduction of related laws and regulations, and changes in company circumstances. The all-new NEXO Release Date: June 10, 2025 / (Unit: KRW)
|
||||
|
||||
|Classification Exclusive Exclusive|Selling price before tax benefit Supply value(surtax) 80,509,000 73,190,000(7,319,000)|Selling price after tax benefit 76,435,000|Standard equipment • Powertrain/Performance: Fuel cell system(150kW drive motor, lithium-ion battery, and reducer), Regenerative braking system, Column-Type Shift By Wire(vibration warning), Drive mode select • Safety: 9 airbag system(1st-row advanced/center side airbags, 1st/2nd-row side airbags, and rollover-resistant curtain airbags), Multi-Collision Brake System, Active hood system(for pedestrian protection), Safety unlock function, Artificial engine sound(for pedestrian protection), Child seat fastening system (2 in 2nd-row), Fire extinguisher for vehicles, Pedal Misapplication Safety Assist • Smart Safety Technology: Forward Collision-avoidance Assist(vehicles/ pedestrians/two-wheeled vehicles/junction turning/front oncoming), Smart Cruise Control with Stop & Go, Lane Keeping Assist, Lane Following Assist 2, Blind-spot Collision Warning(driving), Blind-spot Collision-avoidance Assist(forward exit), Rear Cross-traffic Collision-avoidance Assist, Safety Exit Assist, Driver Attention Warning, High Beam Assist, Advanced Rear Occupant Alert, Intelligent Speed Limit Assist, Hands-On Detection, Highway Driving Assist, Navigation-based Smart Cruise Control(safety speed zone/curve control), Vibration warning steering wheel • Exterior: Full LED headlamps(projection type), LED turn signal lamps (front and rear), LED Daytime Running Lights, LED positioning lights, LED rear combination lamps, LED third brake lights, 18-inch alloy wheels & tires, Solar glass(windshield), Double-glazed soundproof glass(windshield, and 1st/ 2nd-row doors), Outside mirror(heating, power-folding, power adjustment,|Options (before tax benefit) ▶ Hi-pass(e hi-pass) [200,000]|
|
||||
|Classification|Selling price before tax benefit Supply value(surtax)|Selling price after tax benefit|Standard equipment|Options (before tax benefit)|
|
||||
|---|---|---|---|---|
|
||||
|Special|with 3.5% individual consumption tax applied 79,287,000 83,500,000 75,909,091(7,590,909) with 3.5% individual consumption tax applied 82,232,000|with 3.5% individual consumption tax applied 76,435,000 79,275,000 with 3.5% individual consumption tax applied 79,275,000|and LED turn signal lamps), Auto flush door handles, Black door garnish • Interior: Panoramic curved display, 12.3-inch color LCD cluster, Leather- upholstered steering wheel(with heating, two-tone color, and Interactive Pixel Lights), LED interior lamp (map lamp, personal lamp, sun visor lamp, and luggage lamp), Metallic door scuff plate • Seat: Synthetic leather seats, 1st-row manual seats, Heated 1st-row seats, 2nd-row 60/40-split folding seats(reclining) • Convenience: Proximity key with push-button start, Smart key remote start, Electronic Parking Brake(with automatic vehicle hold), Paddle shift(regenerative control), Dual-zone full automatic air conditioning(with high-performance antibacterial combination filter, auto defog system, fine dust sensor, air cleaning mode, and after-blow function), 2nd-row seat air vent, Auto light control system, USB Type-C Ports(1×27W switchable charging/data port in 1st-row, and 2×100W charging ports in both 1st and 2nd-row), ECM room mirror(frameless), Rain sensor, Power windows with pinch protection(1st/2nd-row), Power outlet (1 in 1st-row), Parking Distance Warning-Forward/Reverse, Rear View Monitor, Wireless phone charger(single), Walk-away lock, Route planner, Hyundai AI Assistant • Infotainment: 12.3-inch navigation(Bluelink, phone projection, Bluetooth hands-free, and In-car Payment), Audio system(6 speakers), Over-The-Air navigation updates ▶ Standard equipment of Exclusive plus • Smart Safety Technology: Forward Collision-avoidance Assist(intersection crossing/changing lanes in oncoming traffic/approaching from either side/ evasive steering assist), Highway Driving Assist 2, Navigation-based Smart Cruise Control(access road) • Exterior: Roof rack • Interior: Metallic pedal, Driving mode-dependent ambient mood lighting(crash pad, 1st/2nd-row door trim) • Seat: Synthetic leather seats(patch applied), Power-adjustable driver's|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [950,000] Parking Assist ▶ [1,150,000] Audio by BANG & OLUFSEN|
|
||||
|Prestige|87,893,000 79,902,727(7,990,273) with 3.5% individual consumption tax applied 86,559,000|83,445,000 with 3.5% individual consumption tax applied 83,445,000|seat(8-way, lumbar support, and Integrated Memory System(driver's seat and outside mirror connected)), Power-adjustable front passenger’s seat(8-way), Ventilated 1st-row seats, Heated 2nd-row seats • Convenience: Hi-pass(e hi-pass), In-car fingerprint authentication system(personalization, startup, payment, and etc.), Smart power tailgate ▶ Standard equipment of Exclusive Special plus • Smart Safety Technology: Remote Smart Parking Assist 2, Parking Collison- avoidance Assist(front/side/rear) • Exterior: Intelligent Front-Lighting System(IFS), Dynamic welcome/escort lighting(1 type), Sequential turn signals(front and rear), Ambient lighting auto flush door handles, Two-tone door garnish, Glossy black rear diffuser • Interior: Recycled PET suede interior materials(headlining/sunvisor), Fabric upholstered crash pad • Seat: BIO-processed natural leather seats(metal patch applied, embossed design punching), Passenger's seat walk-in device, 1st-row relaxation comfort seats(leg rest included), Ventilated 2nd-row seats • Convenience: Parking Distance Warning-Side, Head-Up Display, Digital key 2, Wireless phone charger(dual), Surround View Monitor, Blind-spot View Monitor, LED reverse light guide • Infotainment: Audio by BANG & OLUFSEN sound system(14 speakers, including external amp), Active road noise control, Active Sound Design|sound system ▶ [250,000] 19-inch alloy wheels & tires ▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [900,000] Vision roof ▶ [1,380,000] Digital side mirror ▶ [750,000] Camera package ▶ [250,000] 19-inch alloy wheels & tires|
|
||||
|Exclusive|80,509,000 73,190,000(7,319,000) with 3.5% individual consumption tax applied 79,287,000|76,435,000 with 3.5% individual consumption tax applied 76,435,000|• Powertrain/Performance: Fuel cell system(150kW drive motor, lithium-ion battery, and reducer), Regenerative braking system, Column-Type Shift By Wire(vibration warning), Drive mode select • Safety: 9 airbag system(1st-row advanced/center side airbags, 1st/2nd-row side airbags, and rollover-resistant curtain airbags), Multi-Collision Brake System, Active hood system(for pedestrian protection), Safety unlock function, Artificial engine sound(for pedestrian protection), Child seat fastening system (2 in 2nd-row), Fire extinguisher for vehicles, Pedal Misapplication Safety Assist • Smart Safety Technology: Forward Collision-avoidance Assist(vehicles/ pedestrians/two-wheeled vehicles/junction turning/front oncoming), Smart Cruise Control with Stop & Go, Lane Keeping Assist, Lane Following Assist 2, Blind-spot Collision Warning(driving), Blind-spot Collision-avoidance Assist(forward exit), Rear Cross-traffic Collision-avoidance Assist, Safety Exit Assist, Driver Attention Warning, High Beam Assist, Advanced Rear Occupant Alert, Intelligent Speed Limit Assist, Hands-On Detection, Highway Driving Assist, Navigation-based Smart Cruise Control(safety speed zone/curve control), Vibration warning steering wheel • Exterior: Full LED headlamps(projection type), LED turn signal lamps (front and rear), LED Daytime Running Lights, LED positioning lights, LED rear combination lamps, LED third brake lights, 18-inch alloy wheels & tires, Solar glass(windshield), Double-glazed soundproof glass(windshield, and 1st/ 2nd-row doors), Outside mirror(heating, power-folding, power adjustment, and LED turn signal lamps), Auto flush door handles, Black door garnish • Interior: Panoramic curved display, 12.3-inch color LCD cluster, Leather- upholstered steering wheel(with heating, two-tone color, and Interactive Pixel Lights), LED interior lamp (map lamp, personal lamp, sun visor lamp, and luggage lamp), Metallic door scuff plate • Seat: Synthetic leather seats, 1st-row manual seats, Heated 1st-row seats, 2nd-row 60/40-split folding seats(reclining) • Convenience: Proximity key with push-button start, Smart key remote start, Electronic Parking Brake(with automatic vehicle hold), Paddle shift(regenerative control), Dual-zone full automatic air conditioning(with high-performance antibacterial combination filter, auto defog system, fine dust sensor, air cleaning mode, and after-blow function), 2nd-row seat air vent, Auto light control system, USB Type-C Ports(1×27W switchable charging/data port in 1st-row, and 2×100W charging ports in both 1st and 2nd-row), ECM room mirror(frameless), Rain sensor, Power windows with pinch protection(1st/2nd-row), Power outlet (1 in 1st-row), Parking Distance Warning-Forward/Reverse, Rear View Monitor, Wireless phone charger(single), Walk-away lock, Route planner, Hyundai AI Assistant • Infotainment: 12.3-inch navigation(Bluelink, phone projection, Bluetooth hands-free, and In-car Payment), Audio system(6 speakers), Over-The-Air navigation updates|▶ Hi-pass(e hi-pass) [200,000]|
|
||||
|Exclusive Special|83,500,000 75,909,091(7,590,909) with 3.5% individual consumption tax applied 82,232,000|79,275,000 with 3.5% individual consumption tax applied 79,275,000|▶ Standard equipment of Exclusive plus • Smart Safety Technology: Forward Collision-avoidance Assist(intersection crossing/changing lanes in oncoming traffic/approaching from either side/ evasive steering assist), Highway Driving Assist 2, Navigation-based Smart Cruise Control(access road) • Exterior: Roof rack • Interior: Metallic pedal, Driving mode-dependent ambient mood lighting(crash pad, 1st/2nd-row door trim) • Seat: Synthetic leather seats(patch applied), Power-adjustable driver's seat(8-way, lumbar support, and Integrated Memory System(driver's seat and outside mirror connected)), Power-adjustable front passenger’s seat(8-way), Ventilated 1st-row seats, Heated 2nd-row seats • Convenience: Hi-pass(e hi-pass), In-car fingerprint authentication system(personalization, startup, payment, and etc.), Smart power tailgate|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [950,000] Parking Assist ▶ [1,150,000] Audio by BANG & OLUFSEN sound system ▶ [250,000] 19-inch alloy wheels & tires|
|
||||
|Prestige|87,893,000 79,902,727(7,990,273) with 3.5% individual consumption tax applied 86,559,000|83,445,000 with 3.5% individual consumption tax applied 83,445,000|▶ Standard equipment of Exclusive Special plus • Smart Safety Technology: Remote Smart Parking Assist 2, Parking Collison- avoidance Assist(front/side/rear) • Exterior: Intelligent Front-Lighting System(IFS), Dynamic welcome/escort lighting(1 type), Sequential turn signals(front and rear), Ambient lighting auto flush door handles, Two-tone door garnish, Glossy black rear diffuser • Interior: Recycled PET suede interior materials(headlining/sunvisor), Fabric upholstered crash pad • Seat: BIO-processed natural leather seats(metal patch applied, embossed design punching), Passenger's seat walk-in device, 1st-row relaxation comfort seats(leg rest included), Ventilated 2nd-row seats • Convenience: Parking Distance Warning-Side, Head-Up Display, Digital key 2, Wireless phone charger(dual), Surround View Monitor, Blind-spot View Monitor, LED reverse light guide • Infotainment: Audio by BANG & OLUFSEN sound system(14 speakers, including external amp), Active road noise control, Active Sound Design|▶ [600,000] Built-in Cam 2 Plus, Augmented reality navigation ▶ [850,000] Indoor/outdoor V2L ▶ [900,000] Vision roof ▶ [1,380,000] Digital side mirror ▶ [750,000] Camera package ▶ [250,000] 19-inch alloy wheels & tires|
|
||||
|
||||
**Classification Details** **Indoor/outdoor V2L** Indoor V2L, Outdoor V2L(connectorless type) **Parking Assist** Surround View Monitor, Blind-spot View Monitor, Parking Distance Warning-Side, Parking Collison-avoidance Assist-Rear **Audio by BANG & OLUFSEN** Audio by BANG & OLUFSEN sound system(14 speakers, including external amp.), Active road noise control, Active Sound Design **sound system** **Camera package** Digital center mirror(with camera sensor cleaning system), Driver monitoring system THE ALL-NEW NEXO /// ECO-FRIENDLY CAR
|
||||
|
||||
|
||||
+47
-40
@@ -13,8 +13,10 @@ IDENTIFICATION NUMBER OF CORPORATION] ELECTS TO BE TREATED AS A COMPONENT MEMBER
|
||||
(v) Election-- (A) Election filed. An election filed under paragraph (d)(2)(iv) of
|
||||
this section is irrevocable and effective until paragraph (d)(2)(ii) or (iii) of §1.1563-3 applies or until a change in the stock ownership of the corporation results in
|
||||
|
||||
|termination of membership in the controlled group in which such corporation has been included. (B) Election not filed.|In the event no election is filed in accordance with the|
|
||||
|termination of membership in the controlled group in which such corporation has||
|
||||
|---|---|
|
||||
|been included.||
|
||||
|(B) Election not filed.|In the event no election is filed in accordance with the|
|
||||
|provisions of paragraph (d)(2)(iv) of this section, then the Internal Revenue Service||
|
||||
|will determine the group in which such corporation is to be included. Such||
|
||||
|determination will be binding for all subsequent years unless the corporation files a||
|
||||
@@ -101,45 +103,32 @@ section and paragraph
|
||||
(c)(4), and (c)(5) of this section, and paragraph
|
||||
(c)(2) of §1.382-8T
|
||||
|
||||
||§1.382-8(g), Example|
|
||||
|---|---|
|
||||
||The first sentence of §1.382-8(g), Example §1.382-8(g), Example §1.382-8(g), Example|
|
||||
|
||||
(2)(c)
|
||||
(2)(e)
|
||||
(3)(b)
|
||||
(3)(c)(1)(B)
|
||||
|
||||
||The second sentence of|
|
||||
|---|---|
|
||||
||§1.382-8(g), Example The second sentence of §1.382-8(g), Example The first sentence of §1.1502-32(b)(4)(v)(A) The first sentence of §1.1502-32(b)(4)(v)(B)|
|
||||
|
||||
(4)(c)
|
||||
(5)(c)
|
||||
|
||||
|The fifth sentence of|paragraph (c) of this|paragraphs (c)(1), (c)(3),|
|
||||
|---|---|---|
|
||||
|§1.382-8(f)|section|(c)(4), and (c)(5) of this section, and paragraph (c)(2) of §1.382-8T|
|
||||
|§1.382-8(g), Example|paragraph (c) of this|paragraphs (c)(1), (c)(3), section, and paragraph (c)(2) of §1.382-8T|
|
||||
|The second sentence of|paragraph (c) of this|paragraphs (c)(1), (c)(3),|
|
||||
|§1.382-8(g), Example|section|(c)(4), and (c)(5) of this|
|
||||
|§1.382-8(g), Example|section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraphs (c)(1) and (2) of this section paragraph (c)(2) of this section paragraph (c)(2) of this section paragraph (b)(4)(iv) of this section paragraph (b)(4)(iv) of this section|(c)(4), and (c)(5) of this (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(1) of this section and paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (c)(2) of §1.382-8T paragraph (b)(4)(iv) of §1.1502-32T paragraph (b)(4)(iv) of §1.1502-32T|
|
||||
|
||||
(1)(b)(2) section (c)(4), and (c)(5) of this
|
||||
(1)(c) section, and paragraph
|
||||
|
||||
(c)(2) of §1.382-8T
|
||||
|
||||
|§1.382-8(g), Example|paragraph (c)(2) of this|paragraph (c)(2) of|
|
||||
|---|---|---|
|
||||
|The first sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
|
||||
|§1.382-8(g), Example|section|§1.382-8T|
|
||||
|§1.382-8(g), Example|paragraph (c)(2) of this|paragraph (c)(2) of|
|
||||
|§1.382-8(g), Example|paragraphs (c)(1) and (2)|paragraph (c)(1) of this|
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(2)(c) section §1.382-8T
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(2)(e)
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(3)(b) section §1.382-8T
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(3)(c)(1)(B) of this section section and paragraph
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(c)(2) of §1.382-8T
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|The second sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
|
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|---|---|---|
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|§1.382-8(g), Example|section|§1.382-8T|
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|The second sentence of|paragraph (c)(2) of this|paragraph (c)(2) of|
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|§1.382-8(g), Example|section|§1.382-8T|
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|The first sentence of|paragraph (b)(4)(iv) of|paragraph (b)(4)(iv) of|
|
||||
|§1.1502-32(b)(4)(v)(A)|this section|§1.1502-32T|
|
||||
|The first sentence of|paragraph (b)(4)(iv) of|paragraph (b)(4)(iv) of|
|
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|§1.1502-32(b)(4)(v)(B)|this section|§1.1502-32T|
|
||||
|
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(4)(c)
|
||||
(5)(c)
|
||||
|
||||
|§1.1502-35(c)(4)(ii)(B)|§1.1502-76(b)(2)(ii)(D)|§1.1502-76T(b)(2)(ii)(D)|
|
||||
|---|---|---|
|
||||
|§1.1502-76(b)(2)(ii)(A)(2)|paragraph (b)(2)(ii)(D) of this section|paragraph (b)(2)(ii)(D) of §1.1502-76T|
|
||||
@@ -168,14 +157,33 @@ section and paragraph
|
||||
|§1.6043-2(a)|or 1.1081-11|3T(a), or §1.1081-11T|
|
||||
|The first sentence of §301.6011-5T(a) (twice)|§1.6012-2|paragraphs (a), (b) and (d) through (j) of §1.6012- 2, and paragraph (c) of §1.6012-2T|
|
||||
|
||||
|||PART 602--OMB CONTROL NUMBERS UNDER THE PAPERWORK||
|
||||
|---|---|---|---|
|
||||
||REDUCTION ACT Authority: 26 U.S.C. 7805. 1. The following entries to the table are removed: §602.101 OMB Control numbers.|Par. 54. The authority citation for part 602 continues to read as follows: Par. 55. In §602.101, paragraph (b) is amended to read as follows:||
|
||||
|* * * * *|(b) * * * CFR part or section where identified or described||Current OMB control No.|
|
||||
|* * * * *|1.332-6………………………………………………………………….|1.382-11……………………………………………………………….. 1545-2019 1.351-3…………………………………………………………………. 1545-2019 1.355-5…………………………………………………………………. 1545-2019 1.368-3…………………………………………………………………. 1545-2019 1.1081-11………………………………………………………………. 1545-2019|1545-2019|
|
||||
|* * * * *|§602.101 OMB Control numbers.|______________________________________________________________ 2. The following entries are added in numerical order to the table:||
|
||||
|* * * * *|(b) * * * CFR part or section where identified or described||Current OMB control No.|
|
||||
|* * * * *|1.302-2T………………………………………………………………… 1545 1.302-4T………………………………………………………………… 1545||-2019 -2019|
|
||||
PART 602--OMB CONTROL NUMBERS UNDER THE PAPERWORK REDUCTION ACT Par. 54. The authority citation for part 602 continues to read as follows: Authority: 26 U.S.C. 7805. Par. 55. In §602.101, paragraph (b) is amended to read as follows:
|
||||
|
||||
1. The following entries to the table are removed:
|
||||
§602.101 OMB Control numbers.
|
||||
|
||||
* * * * *
|
||||
(b) * * *
|
||||
CFR part or section where Current OMB identified or described control No.
|
||||
|
||||
* * * * *
|
||||
1.332-6…………………………………………………………………. 1545-2019
|
||||
1.382-11……………………………………………………………….. 1545-2019
|
||||
1.351-3…………………………………………………………………. 1545-2019
|
||||
1.355-5…………………………………………………………………. 1545-2019
|
||||
1.368-3…………………………………………………………………. 1545-2019
|
||||
1.1081-11………………………………………………………………. 1545-2019
|
||||
* * * * * **______________________________________________________________**
|
||||
2. The following entries are added in numerical order to the table:
|
||||
§602.101 OMB Control numbers.
|
||||
|
||||
* * * * *
|
||||
(b) * * *
|
||||
CFR part or section where Current OMB identified or described control No.
|
||||
|
||||
* * * * *
|
||||
1.302-2T………………………………………………………………… 1545-2019
|
||||
1.302-4T………………………………………………………………… 1545-2019
|
||||
|
||||
|1.331-1T………………………………………………………………… 1545|-2019|
|
||||
|---|---|
|
||||
@@ -193,4 +201,3 @@ section and paragraph
|
||||
Deputy Commissioner for Services and Enforcement.
|
||||
|
||||
Approved: May 19, 2006 Eric Solomon Acting Deputy Assistant Secretary of the Treasury (Tax Policy).
|
||||
|
||||
|
||||
Reference in New Issue
Block a user