@@ -379,17 +379,10 @@ def spy_plot(self, *args, **kwargs):
379379 index = fib_feat_df .index ,
380380 )
381381
382- # --- Also reconstruct fiber_structure with the columns generate_overlay expects ---
383- #
384- # generate_overlay reads fiber_structure["center_row"] / ["center_col"] (or
385- # ["center_1"] / ["center_2"] for FIRE mode) to get fiber centers.
386- # fib_feat_df stores these as "end_point_row" / "end_point_col" (see save_fiber_features).
387- # We build a minimal fiber_structure DataFrame with the right column names so that
388- # generate_overlay can locate fiber centers correctly.
382+ # Reconstructing fiber_structure to be in a format that generate_overlay
383+ # expects: "fiber_absolute_angle" is changed to "angle" (see save_fiber_features)
389384 fiber_structure = fib_feat_df .rename (
390385 columns = {
391- "end_point_row" : "center_row" ,
392- "end_point_col" : "center_col" ,
393386 "fiber_absolute_angle" : "angle" ,
394387 }
395388 )
@@ -423,15 +416,6 @@ def spy_plot(self, *args, **kwargs):
423416 f"make_associations=True and { len (valid_fibers )} fibers have boundary points."
424417 )
425418
426- # --- Verify coordinate ordering for every fiber with a valid boundary point ---
427- #
428- # Expected ax.plot call for fiber at (center_row, center_col) → (bp_row, bp_col):
429- # x = [center_col, boundary_point_col]
430- # y = [center_row, boundary_point_row]
431- #
432- # We read from the same DataFrames passed into generate_overlay (fiber_structure
433- # and measured_boundary) so the test is consistent with what the function sees.
434-
435419 expected_lines = []
436420 for idx in valid_fibers .index :
437421 center_row = fiber_structure .at [idx , "center_row" ]
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