DfmResult

Full DFM prediction result.

Returned by run_dfm(). Contains per-layer predictions, aggregate statistics, and all violations. Use the passed attribute for a quick pass/fail check when tolerances are configured.

result = run_dfm(cell, layers=[Layer(1)], config=config)
if result.passed:
    print(f"DFM passed ({result.layers_processed} layers, {result.total_pixels} pixels)")
else:
    print(f"DFM failed with {len(result.violations)} violations")
    for v in result.violations:
        print(f"  {v.message}")

for lp in result.layers:
    m = lp.metrics
    if m:
        print(f"Layer {lp.layer}: edge dev {m.max_edge_deviation:.3f} um")

Attributes

attributelayerslist[LayerPrediction]

Per-layer prediction results.

attributetotal_predicted_polygonsint

Total number of predicted polygons across all layers.

attributetotal_input_polygonsint

Total number of input (designed) polygons across all layers.

attributepassedbool

True if no violations were found. Always True when no tolerances are configured.

attributeviolationslist[DfmViolation]

Aggregate list of all DFM violations across all layers.

attributelayers_processedint

Number of layers processed.

attributetotal_pixelsint

Total number of raster pixels computed across all layers.

attributeresolutionfloat

Rasterization resolution used (design units per pixel).

attributeelapsed_msfloat

Elapsed time in milliseconds.

Attributes

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