| Commit message (Collapse) | Author | Age | Files | Lines |
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spot a counter-drift outlier
pc_nums allocated three ctree_item_t SWIG objects per candidate column -- the
third instance of the same fault already fixed in decomp_map and found in
decompile_function_safe. 1247 -> 614ms warm over 18991 lines of bash, identical
literal counts, 0 mismatches over echo's 128 functions.
Both it and the fast decompile_function_safe are parked rather than applied:
together they are worth ~350ms against a run-to-run spread of ~500ms on this
box (means 25045 with, 25140 without over seven runs), so the benchmark cannot
resolve them. Neither adds complexity -- both remove allocations -- so they are
kept on disk with their measurements for a per-operation-latency goal.
Also records the 27283ms outlier: the work counters moved with it, which is how
an outlier is told from a regression.
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comparing against the previous column. dstr() was 79% of the tool (24us a call) and items interleave, so foo(a, b) flips call->arg->call and re-formatted an item already seen: 106594 calls for 15417 lines of bash. Also corrects run #30's claim that the duplicate ida_hexrays.decompile is what costs -- a warm decompile is 0.01ms.
Result: {"status":"keep","total_ms":24513.8,"lg_boot_ms":693.2,"lg_decomp_ms":2347.3,"lg_graph_ms":931.2,"lg_hex_ms":460.3,"lg_index_ms":69.1,"lg_listing_cold_ms":434.2,"lg_listing_warm_ms":462.4,"lg_nav_ms":6639.6,"lg_palette_ms":4.7,"lg_rename_ms":699.9,"lg_render_ms":219.7,"lg_search_ms":3441.1,"lg_split_ms":2218,"pure_graph_ms":216.5,"sm_boot_ms":436.9,"sm_decomp_ms":1264.9,"sm_graph_ms":758.2,"sm_hex_ms":437.9,"sm_index_ms":2.3,"sm_listing_cold_ms":256.8,"sm_listing_warm_ms":256,"sm_nav_ms":309.5,"sm_palette_ms":0.3,"sm_rename_ms":379.1,"sm_render_ms":249.5,"sm_search_ms":59.2,"sm_split_ms":1266,"fails":0}
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(heads(expect=...)) instead of asking first and fetching afterwards. A page that has NOT changed costs one round trip as before; a page that HAS changed now costs one instead of two. Also corrects the record: the item-edit bench hang is pilot start-up flakiness, not the _prime/_grow concurrency I blamed it on — proved with a stack dump.
Result: {"status":"keep","total_ms":25121.9,"lg_boot_ms":694.8,"lg_decomp_ms":2370.8,"lg_graph_ms":917.1,"lg_hex_ms":456.1,"lg_index_ms":69.4,"lg_listing_cold_ms":442.7,"lg_listing_warm_ms":498.8,"lg_nav_ms":6548.8,"lg_palette_ms":4.8,"lg_rename_ms":711.4,"lg_render_ms":224.9,"lg_search_ms":3484.7,"lg_split_ms":2619.3,"pure_graph_ms":220.7,"sm_boot_ms":448.6,"sm_decomp_ms":1292.5,"sm_graph_ms":748.8,"sm_hex_ms":438.3,"sm_index_ms":2.4,"sm_listing_cold_ms":274.3,"sm_listing_warm_ms":266.5,"sm_nav_ms":302.7,"sm_palette_ms":0.3,"sm_rename_ms":392.5,"sm_render_ms":260.2,"sm_search_ms":59.6,"sm_split_ms":1370.9,"fails":0}
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discarding the model. bump_items now takes the edited address; rows before an edit keep their addresses and their row numbers, so only the pages from the edit onward are re-walked. Getting the listing back after undefining at the cursor on bash: 4890ms -> 19ms (257x). Adds .auto/check_edit.py to the gate. total_ms is flat — the bench has no item-edit phase, and the one I wrote hangs (reverted, cause recorded).
Result: {"status":"keep","total_ms":25783,"lg_boot_ms":777.9,"lg_decomp_ms":2381.9,"lg_graph_ms":1209.5,"lg_hex_ms":450,"lg_index_ms":68,"lg_listing_cold_ms":434.6,"lg_listing_warm_ms":405.2,"lg_nav_ms":6801.2,"lg_palette_ms":4.7,"lg_rename_ms":744.7,"lg_render_ms":222.4,"lg_search_ms":3885.6,"lg_split_ms":2261.4,"pure_graph_ms":216.4,"sm_boot_ms":463.6,"sm_decomp_ms":1304.6,"sm_graph_ms":740.9,"sm_hex_ms":438.4,"sm_index_ms":2.4,"sm_listing_cold_ms":270.3,"sm_listing_warm_ms":267.2,"sm_nav_ms":312.4,"sm_palette_ms":0.3,"sm_rename_ms":415.8,"sm_render_ms":257.7,"sm_search_ms":60.8,"sm_split_ms":1385.2,"fails":0}
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per head (row builder, _is_unknown via _advance, and _rows_for), get_func was called per head where a head is nearly always in the same function as the one before it, and the page digest rebuilt a tuple-of-tuples per row where one spans list is shared by ~45% of them. Cold heads 18.62 -> 17.77 us/row, warm 11.53 -> 10.87.
Result: {"status":"keep","total_ms":25814,"lg_boot_ms":714.9,"lg_decomp_ms":2376.2,"lg_graph_ms":948.8,"lg_hex_ms":458.6,"lg_index_ms":69.3,"lg_listing_cold_ms":448.5,"lg_listing_warm_ms":482.1,"lg_nav_ms":6808,"lg_palette_ms":4.7,"lg_rename_ms":752,"lg_render_ms":219.4,"lg_search_ms":4008.3,"lg_split_ms":2275.5,"pure_graph_ms":225.2,"sm_boot_ms":456.1,"sm_decomp_ms":1292.4,"sm_graph_ms":795.8,"sm_hex_ms":475.2,"sm_index_ms":2.5,"sm_listing_cold_ms":269.1,"sm_listing_warm_ms":272.2,"sm_nav_ms":320.2,"sm_palette_ms":0.3,"sm_rename_ms":446.3,"sm_render_ms":264.8,"sm_search_ms":60.6,"sm_split_ms":1366.9,"fails":0}
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as you hold it?" with a hash and a count instead of the page. After a rename nearly every page is unchanged, so the pickling, transfer, unpickling and Head rebuild are all skipped. Redone at PAGE granularity end to end, which fixes both bugs of the first attempt. lg_search 5628 -> 3959.
Result: {"status":"keep","total_ms":26491.7,"lg_boot_ms":808.6,"lg_decomp_ms":2600.2,"lg_graph_ms":901.2,"lg_hex_ms":448.7,"lg_index_ms":70.3,"lg_listing_cold_ms":432.8,"lg_listing_warm_ms":445.5,"lg_nav_ms":7004.8,"lg_palette_ms":4.8,"lg_rename_ms":758.6,"lg_render_ms":231.3,"lg_search_ms":3959.2,"lg_split_ms":2659.2,"pure_graph_ms":214.7,"sm_boot_ms":432.6,"sm_decomp_ms":1305.1,"sm_graph_ms":758.3,"sm_hex_ms":431.8,"sm_index_ms":2.3,"sm_listing_cold_ms":275.4,"sm_listing_warm_ms":289.4,"sm_nav_ms":295.6,"sm_palette_ms":0.3,"sm_rename_ms":424.3,"sm_render_ms":263.6,"sm_search_ms":61.1,"sm_split_ms":1411.9,"fails":0}
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(16384 -> 65536, overridable with IDATUI_LINE_CACHE). This was a recorded dead end — it does nothing for a cold sweep — but the rename fix created a second-sweep workload, and re-rendering after a rename is now 21% cheaper. lg_search 7123 -> 5628.
Result: {"status":"keep","total_ms":27552.6,"lg_boot_ms":759.2,"lg_decomp_ms":2754.1,"lg_graph_ms":1207.2,"lg_hex_ms":448,"lg_index_ms":69.6,"lg_listing_cold_ms":434.5,"lg_listing_warm_ms":442.9,"lg_nav_ms":6642.3,"lg_palette_ms":4.7,"lg_rename_ms":730.6,"lg_render_ms":223.6,"lg_search_ms":5627.5,"lg_split_ms":2268,"pure_graph_ms":218.7,"sm_boot_ms":465,"sm_decomp_ms":1290.8,"sm_graph_ms":720.7,"sm_hex_ms":436.1,"sm_index_ms":2.4,"sm_listing_cold_ms":267.2,"sm_listing_warm_ms":266.5,"sm_nav_ms":292.9,"sm_palette_ms":0.3,"sm_rename_ms":380.1,"sm_render_ms":255.5,"sm_search_ms":68.1,"sm_split_ms":1276.3,"fails":0}
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palette crash
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unmeasured
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showing STALE NAMES on any wide read: one heads call for a search-sized window overflows the tool's 2000-row cap, the short response fails the sequence check, and the block is left with its old text. Refresh is now done a block at a time. Adds .auto/check_rename.py to the gate, which fails hard on the previous code and passes on this one.
Result: {"status":"keep","total_ms":28651.3,"lg_boot_ms":720.6,"lg_decomp_ms":2427.4,"lg_graph_ms":1222.4,"lg_hex_ms":440.9,"lg_index_ms":72.6,"lg_listing_cold_ms":433.6,"lg_listing_warm_ms":465.9,"lg_nav_ms":6809.7,"lg_palette_ms":4.7,"lg_rename_ms":710.1,"lg_render_ms":228.7,"lg_search_ms":6891.2,"lg_split_ms":2259.2,"pure_graph_ms":214.5,"sm_boot_ms":457.7,"sm_decomp_ms":1303.6,"sm_graph_ms":700.2,"sm_hex_ms":445.4,"sm_index_ms":2.4,"sm_listing_cold_ms":271.4,"sm_listing_warm_ms":270.9,"sm_nav_ms":309.2,"sm_palette_ms":0.3,"sm_rename_ms":386.6,"sm_render_ms":265.8,"sm_search_ms":70.1,"sm_split_ms":1266.2,"fails":0}
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now marks the rendered text stale (invalidate_text) and ListingModel re-renders a 500-head block at a time on demand, snapped out to whole address groups; a refetch that comes back with a different head sequence sets stale_structure so Program.listing() rebuilds. lg_rename 10055 -> 742.
Result: {"status":"keep","total_ms":25563.7,"lg_boot_ms":732.6,"lg_decomp_ms":2714,"lg_graph_ms":919.3,"lg_hex_ms":566.8,"lg_index_ms":71.4,"lg_listing_cold_ms":441.4,"lg_listing_warm_ms":411.7,"lg_nav_ms":6708,"lg_palette_ms":4.8,"lg_rename_ms":741.5,"lg_render_ms":227.7,"lg_search_ms":3314.1,"lg_split_ms":2596.9,"pure_graph_ms":213.6,"sm_boot_ms":422.9,"sm_decomp_ms":1284,"sm_graph_ms":789.5,"sm_hex_ms":468.1,"sm_index_ms":2.6,"sm_listing_cold_ms":258.7,"sm_listing_warm_ms":257.3,"sm_nav_ms":306.5,"sm_palette_ms":0.3,"sm_rename_ms":388.2,"sm_render_ms":256,"sm_search_ms":105.1,"sm_split_ms":1360.5,"fails":0}
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engineering — was not covered, and it costs 10.1s for SIX renames on bash (1.7s each) because bump_names discards the segment's ListingModel and the reload re-walks it from the start. lg_split also rose to 3540ms: the split phase now runs after renames have thrown the listing away.
Result: {"status":"keep","total_ms":33242.6,"lg_boot_ms":710.8,"lg_decomp_ms":2401.2,"lg_graph_ms":898.1,"lg_hex_ms":448.7,"lg_index_ms":72.1,"lg_listing_cold_ms":439.3,"lg_listing_warm_ms":426.8,"lg_nav_ms":7060.2,"lg_palette_ms":4.8,"lg_rename_ms":10055,"lg_render_ms":220.2,"lg_search_ms":774.6,"lg_split_ms":3539.8,"pure_graph_ms":215.1,"sm_boot_ms":429.1,"sm_decomp_ms":1244.1,"sm_graph_ms":744.3,"sm_hex_ms":444.2,"sm_index_ms":2.5,"sm_listing_cold_ms":269.8,"sm_listing_warm_ms":263.3,"sm_nav_ms":282.9,"sm_palette_ms":0.3,"sm_rename_ms":638.3,"sm_render_ms":255.6,"sm_search_ms":44.2,"sm_split_ms":1357.4,"fails":0}
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ctree_item_t SWIG objects PER COLUMN, swept the tagged line length (124 columns for a 23-column line), and called dstr() — which formats a whole 'EA: description' string — for every column even though consecutive columns report the same ctree item. Now: one item, no head/tail, visible columns only, and dstr() only when the item's obj_id changes.
Result: {"status":"keep","total_ms":19834.8,"lg_boot_ms":676.9,"lg_decomp_ms":2698.8,"lg_graph_ms":892.1,"lg_hex_ms":440.4,"lg_index_ms":93.6,"lg_listing_cold_ms":438.5,"lg_listing_warm_ms":420.8,"lg_nav_ms":6646.7,"lg_palette_ms":4.7,"lg_render_ms":215.1,"lg_search_ms":767,"lg_split_ms":1327.6,"pure_graph_ms":213.6,"sm_boot_ms":468,"sm_decomp_ms":1317.1,"sm_graph_ms":730.7,"sm_hex_ms":483.2,"sm_index_ms":2.6,"sm_listing_cold_ms":266.1,"sm_listing_warm_ms":268.1,"sm_nav_ms":288.6,"sm_palette_ms":0.3,"sm_render_ms":253,"sm_search_ms":47.1,"sm_split_ms":874.2,"fails":0}
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turns out to be the most expensive thing in the app: 16.2s of a 33.5s session (lg_split 10189 + sm_split 6034), or 500ms per function on echo and 850ms on bash, just to open it.
Result: {"status":"keep","total_ms":33502.3,"lg_boot_ms":772.2,"lg_decomp_ms":2546.9,"lg_graph_ms":903.4,"lg_hex_ms":434.1,"lg_index_ms":97.7,"lg_listing_cold_ms":420.2,"lg_listing_warm_ms":397.4,"lg_nav_ms":6501.1,"lg_palette_ms":4.9,"lg_render_ms":212.4,"lg_search_ms":760.4,"lg_split_ms":10189.2,"pure_graph_ms":212.3,"sm_boot_ms":443.8,"sm_decomp_ms":1275.3,"sm_graph_ms":720.5,"sm_hex_ms":451,"sm_index_ms":2.5,"sm_listing_cold_ms":263.3,"sm_listing_warm_ms":264.7,"sm_nav_ms":302.8,"sm_palette_ms":0.3,"sm_render_ms":248.4,"sm_search_ms":43.9,"sm_split_ms":6033.6,"fails":0}
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reading. Confirms the wire-shape change holds and that the run-to-run spread is ~250ms even on the now-busier box.
Result: {"status":"keep","total_ms":17464.6,"lg_boot_ms":744.8,"lg_decomp_ms":2600.3,"lg_graph_ms":889.3,"lg_hex_ms":436.1,"lg_index_ms":95.5,"lg_listing_cold_ms":436.4,"lg_listing_warm_ms":407.8,"lg_nav_ms":6747.4,"lg_palette_ms":4.6,"lg_render_ms":218.9,"lg_search_ms":760.9,"pure_graph_ms":215.7,"sm_boot_ms":429.7,"sm_decomp_ms":1263.5,"sm_graph_ms":650.2,"sm_hex_ms":435.3,"sm_index_ms":2.3,"sm_listing_cold_ms":262.8,"sm_listing_warm_ms":264.7,"sm_nav_ms":305.4,"sm_palette_ms":0.3,"sm_render_ms":251.4,"sm_search_ms":41.1,"fails":0}
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NOT running) revealed that the worker-connect poll change made test_project_ui flaky: 5ms polling on a background thread through a cold auto-analysis starved the UI thread enough that the loading overlay was still up when the test pressed Ctrl+O. Poll now backs off to a 25ms cap (keeps the boot win, no busy-wait), the racy boot wait is fixed, and checks.sh runs tests/run.py in full (830 checks) instead of just the scenario suite.
Result: {"status":"keep","total_ms":18608,"lg_boot_ms":708.5,"lg_decomp_ms":2454.9,"lg_graph_ms":1034.5,"lg_hex_ms":431.9,"lg_index_ms":95.1,"lg_listing_cold_ms":530.2,"lg_listing_warm_ms":413.4,"lg_nav_ms":7057.9,"lg_palette_ms":5,"lg_render_ms":214.2,"lg_search_ms":1408.9,"pure_graph_ms":213.3,"sm_boot_ms":433.6,"sm_decomp_ms":1292,"sm_graph_ms":754,"sm_hex_ms":433.4,"sm_index_ms":2.6,"sm_listing_cold_ms":260.4,"sm_listing_warm_ms":280.5,"sm_nav_ms":286.1,"sm_palette_ms":0.3,"sm_render_ms":251,"sm_search_ms":46.5,"fails":0}
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non-determinism finding
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one pass over the neighbour pairs (was four _pair_cross calls); the barycentre median answers degree 1 and 2 without sorting; and the search body is built from windowed model reads instead of one locked row lookup per line.
Result: {"status":"keep","total_ms":17944.4,"lg_boot_ms":703.7,"lg_decomp_ms":2453.7,"lg_graph_ms":1000,"lg_hex_ms":478,"lg_index_ms":96,"lg_listing_cold_ms":453,"lg_listing_warm_ms":411.2,"lg_nav_ms":6555.9,"lg_palette_ms":4.9,"lg_render_ms":218.4,"lg_search_ms":1308.8,"pure_graph_ms":212.3,"sm_boot_ms":432.4,"sm_decomp_ms":1267.8,"sm_graph_ms":742.7,"sm_hex_ms":440,"sm_index_ms":2.5,"sm_listing_cold_ms":264.3,"sm_listing_warm_ms":289.5,"sm_nav_ms":305.4,"sm_palette_ms":0.3,"sm_render_ms":258.6,"sm_search_ms":45,"fails":0}
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interval was measurement overhead inside the timed regions). Final measurement shape — no further bench changes.
Result: {"status":"keep","total_ms":18516,"lg_boot_ms":663.9,"lg_decomp_ms":2663.2,"lg_graph_ms":1012.3,"lg_hex_ms":436.1,"lg_index_ms":98.4,"lg_listing_cold_ms":437.7,"lg_listing_warm_ms":409.4,"lg_nav_ms":6841.9,"lg_palette_ms":4.7,"lg_render_ms":218.8,"lg_search_ms":1474.7,"pure_graph_ms":241.6,"sm_boot_ms":433.3,"sm_decomp_ms":1266.3,"sm_graph_ms":737.9,"sm_hex_ms":424.2,"sm_index_ms":2.3,"sm_listing_cold_ms":262.9,"sm_listing_warm_ms":283.2,"sm_nav_ms":301.2,"sm_palette_ms":0.3,"sm_render_ms":253.9,"sm_search_ms":47.9,"fails":0}
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overhead
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the same flaw the graph phase had: decompile, search and the function index all cache their answer, so a second rep reported a dict lookup under the name of the thing a user waits for. Cold-sensitive phases (listing_cold, decomp, search, index) now run ONCE; repeatable ones (render, hex, graph, listing_warm) run every rep and take the median. pure_graph is median-of-3.
Result: {"status":"keep","total_ms":18497.9,"lg_boot_ms":694.8,"lg_decomp_ms":2674,"lg_graph_ms":992.7,"lg_hex_ms":429.1,"lg_index_ms":94.9,"lg_listing_cold_ms":545.3,"lg_listing_warm_ms":410.7,"lg_nav_ms":6489,"lg_palette_ms":4.7,"lg_render_ms":220.6,"lg_search_ms":1489.8,"pure_graph_ms":241,"sm_boot_ms":467.1,"sm_decomp_ms":1308.5,"sm_graph_ms":761,"sm_hex_ms":431.7,"sm_index_ms":2.5,"sm_listing_cold_ms":273.9,"sm_listing_warm_ms":289,"sm_nav_ms":373,"sm_palette_ms":0.3,"sm_render_ms":257.2,"sm_search_ms":47,"fails":0}
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target)
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Style sum), confirming it: 17590 -> 17501. lg_graph averages 951 over the two runs against 1136 before.
Result: {"status":"keep","total_ms":17501.4,"lg_boot_ms":711,"lg_decomp_ms":2484.8,"lg_graph_ms":1017.2,"lg_hex_ms":431.9,"lg_index_ms":98.7,"lg_listing_cold_ms":528,"lg_listing_warm_ms":409.2,"lg_nav_ms":6488.2,"lg_palette_ms":4.7,"lg_render_ms":214.8,"lg_search_ms":1473.5,"pure_graph_ms":244.3,"sm_boot_ms":451.4,"sm_decomp_ms":596,"sm_graph_ms":691.3,"sm_hex_ms":444.5,"sm_index_ms":0,"sm_listing_cold_ms":263,"sm_listing_warm_ms":284.2,"sm_nav_ms":374.7,"sm_palette_ms":0.3,"sm_render_ms":252.1,"sm_search_ms":37.5,"fails":0}
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across navigation inside the same segment), confirming it. total 17784 -> 17590; lg_search 1917 -> 1400, sm_search 70 -> 48. Also lands .auto/check_search.py in the checks gate: it compares both search fast paths against the plain per-line loop for every typed prefix.
Result: {"status":"keep","total_ms":17589.8,"lg_boot_ms":710.6,"lg_decomp_ms":2404.9,"lg_graph_ms":1136.1,"lg_hex_ms":425.6,"lg_index_ms":103.4,"lg_listing_cold_ms":417.2,"lg_listing_warm_ms":508.1,"lg_nav_ms":6553.8,"lg_palette_ms":4.8,"lg_render_ms":215.7,"lg_search_ms":1400.3,"pure_graph_ms":239.3,"sm_boot_ms":443.2,"sm_decomp_ms":668.4,"sm_graph_ms":698.1,"sm_hex_ms":443.6,"sm_index_ms":0,"sm_listing_cold_ms":267.3,"sm_listing_warm_ms":286,"sm_nav_ms":356.6,"sm_palette_ms":0.3,"sm_render_ms":258.6,"sm_search_ms":47.9,"fails":0}
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(35 -> 7 segments per row), and Head is a NamedTuple rather than a frozen dataclass (tuple.__new__ 1.9us vs a dataclass __init__ 2.9us, and it is built once per listing row walked).
Result: {"status":"keep","total_ms":17784.1,"lg_boot_ms":680.8,"lg_decomp_ms":2344,"lg_graph_ms":1106.5,"lg_hex_ms":576.4,"lg_index_ms":96.5,"lg_listing_cold_ms":552.9,"lg_listing_warm_ms":431.3,"lg_nav_ms":6256.4,"lg_palette_ms":4.8,"lg_render_ms":224.1,"lg_search_ms":1916.5,"pure_graph_ms":241.3,"sm_boot_ms":442.6,"sm_decomp_ms":591.3,"sm_graph_ms":663.9,"sm_hex_ms":419.2,"sm_index_ms":0,"sm_listing_cold_ms":258.2,"sm_listing_warm_ms":281.8,"sm_nav_ms":374.4,"sm_palette_ms":0.3,"sm_render_ms":251.1,"sm_search_ms":69.8,"fails":0}
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(a decompilation uses ~18 distinct token types but each token walked up to nine 'token in ttype' hierarchy checks), and hold the worker-connect poll at 5ms for the first 5s instead of backing off geometrically from the first probe.
Result: {"status":"keep","total_ms":18856.8,"lg_boot_ms":689.7,"lg_decomp_ms":2484.2,"lg_graph_ms":1120,"lg_hex_ms":700.1,"lg_index_ms":96.5,"lg_listing_cold_ms":425.6,"lg_listing_warm_ms":511.5,"lg_nav_ms":6590.7,"lg_palette_ms":4.8,"lg_render_ms":215.1,"lg_search_ms":2195.5,"pure_graph_ms":238.1,"sm_boot_ms":431.5,"sm_decomp_ms":667.2,"sm_graph_ms":686.9,"sm_hex_ms":569.8,"sm_index_ms":0,"sm_listing_cold_ms":258.1,"sm_listing_warm_ms":283.2,"sm_nav_ms":365.2,"sm_palette_ms":0.3,"sm_render_ms":243.7,"sm_search_ms":79,"fails":0}
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convex hull, and assign them per block by bisect. IDA puts a function's cold/tail chunks far from its entry, so the hull of a 1.4KB function could be 680KB wide: it fetched 128k rows, took 3s, and still came back EMPTY for the far blocks because the pager's 64-page bound ran out first. lg_graph 9561 -> 1022.
Result: {"status":"keep","total_ms":19062.1,"lg_boot_ms":751.3,"lg_decomp_ms":2605.7,"lg_graph_ms":1022,"lg_hex_ms":554.5,"lg_index_ms":103.9,"lg_listing_cold_ms":545,"lg_listing_warm_ms":405.6,"lg_nav_ms":6636.8,"lg_palette_ms":4.7,"lg_render_ms":212.2,"lg_search_ms":2269,"pure_graph_ms":239.9,"sm_boot_ms":538.5,"sm_decomp_ms":688.4,"sm_graph_ms":712.7,"sm_hex_ms":557.5,"sm_index_ms":0,"sm_listing_cold_ms":259.9,"sm_listing_warm_ms":260.2,"sm_nav_ms":363.8,"sm_palette_ms":0.3,"sm_render_ms":252.7,"sm_search_ms":77.5,"fails":0}
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the fixture picker called Program.flowchart (which caches per function), so the timed Space press only did a dict lookup. Fixtures now use the raw flowchart tool and the graph cache is cleared before the phase. Cold graph opens cost lg_graph 9561ms — 34% of the total, previously invisible.
Result: {"status":"keep","total_ms":27912.9,"lg_boot_ms":742.8,"lg_decomp_ms":2595.7,"lg_graph_ms":9561.4,"lg_hex_ms":554.4,"lg_index_ms":77.6,"lg_listing_cold_ms":548.6,"lg_listing_warm_ms":405.5,"lg_nav_ms":6552.9,"lg_palette_ms":4.9,"lg_render_ms":216.1,"lg_search_ms":2218,"pure_graph_ms":507.6,"sm_boot_ms":535.6,"sm_decomp_ms":620.2,"sm_graph_ms":962,"sm_hex_ms":587.4,"sm_index_ms":0,"sm_listing_cold_ms":261.8,"sm_listing_warm_ms":261.7,"sm_nav_ms":368.8,"sm_palette_ms":0.3,"sm_render_ms":252.4,"sm_search_ms":77.1,"fails":0}
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_apply_scroll implementations unconditionally scheduled a deferred scroll_to + refresh(layout=True) — a whole-screen re-arrange on every scroll — as a workaround for scrolling before the view's size is computed. Now the deferred pass runs only when scroll_offset didn't reach the target.
Result: {"status":"keep","total_ms":19005.8,"lg_boot_ms":788.9,"lg_decomp_ms":2752.5,"lg_graph_ms":899,"lg_hex_ms":565.2,"lg_index_ms":71.9,"lg_listing_cold_ms":416.1,"lg_listing_warm_ms":402.3,"lg_nav_ms":6756.3,"lg_palette_ms":4.7,"lg_render_ms":217.1,"lg_search_ms":2335.8,"pure_graph_ms":235.3,"sm_boot_ms":537.4,"sm_decomp_ms":600.9,"sm_graph_ms":693.1,"sm_hex_ms":549.9,"sm_index_ms":0,"sm_listing_cold_ms":280.9,"sm_listing_warm_ms":261.2,"sm_nav_ms":309,"sm_palette_ms":0.3,"sm_render_ms":249.3,"sm_search_ms":78.7,"fails":0}
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opcode-bytes column used a per-byte f-string generator where bytes.hex(' ').upper() does it in one C call (12x), and ListingModel._phys/_head_index_at re-imported bisect on every call. _line_plain 2.64 -> 1.57 us/row.
Result: {"status":"keep","total_ms":19476.3,"lg_boot_ms":756.3,"lg_decomp_ms":2495.1,"lg_graph_ms":946,"lg_hex_ms":905.4,"lg_index_ms":72,"lg_listing_cold_ms":547.5,"lg_listing_warm_ms":410.4,"lg_nav_ms":6723.4,"lg_palette_ms":5,"lg_render_ms":218.8,"lg_search_ms":2312.4,"pure_graph_ms":239.5,"sm_boot_ms":535.3,"sm_decomp_ms":616.4,"sm_graph_ms":682.2,"sm_hex_ms":824.9,"sm_index_ms":0,"sm_listing_cold_ms":258.9,"sm_listing_warm_ms":261,"sm_nav_ms":339.5,"sm_palette_ms":0.3,"sm_render_ms":248.7,"sm_search_ms":77.3,"fails":0}
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operand-tag dicts into one lookup, skip both isspace() probes when a span needs no whitespace collapsing at all (the common case), and give Head slots=True. Spans 11.07 -> 10.18 us/line; Head construction 3.18 -> 2.53 us/row.
Result: {"status":"keep","total_ms":20412.8,"lg_boot_ms":752.9,"lg_decomp_ms":2418.6,"lg_graph_ms":811.6,"lg_hex_ms":1020.1,"lg_index_ms":73.2,"lg_listing_cold_ms":573.7,"lg_listing_warm_ms":456.7,"lg_nav_ms":6640.1,"lg_palette_ms":4.8,"lg_render_ms":237.6,"lg_search_ms":3210.2,"pure_graph_ms":242.5,"sm_boot_ms":536.5,"sm_decomp_ms":643.1,"sm_graph_ms":689.8,"sm_hex_ms":866.6,"sm_index_ms":0,"sm_listing_cold_ms":262.9,"sm_listing_warm_ms":265.9,"sm_nav_ms":330.1,"sm_palette_ms":0.3,"sm_render_ms":265.2,"sm_search_ms":110.5,"fails":0}
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the term can only remove lines (a line holding "mov" holds "mo"), so _compute_matches rescans the previous hit list when the term grew and nothing else moved. Keyed on (term, case-fold, row count, line-source id) so a listing still streaming rows in behind the search falls back to a full scan.
Result: {"status":"keep","total_ms":20835.7,"lg_boot_ms":754.4,"lg_decomp_ms":2593.7,"lg_graph_ms":929.5,"lg_hex_ms":1080.2,"lg_index_ms":76.1,"lg_listing_cold_ms":526.7,"lg_listing_warm_ms":410.1,"lg_nav_ms":6674.8,"lg_palette_ms":5,"lg_render_ms":225.2,"lg_search_ms":3310.3,"pure_graph_ms":239.3,"sm_boot_ms":537.9,"sm_decomp_ms":630.1,"sm_graph_ms":734.3,"sm_hex_ms":869.9,"sm_index_ms":0,"sm_listing_cold_ms":260.8,"sm_listing_warm_ms":262.3,"sm_nav_ms":334.8,"sm_palette_ms":0.3,"sm_render_ms":268.4,"sm_search_ms":111.6,"fails":0}
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opcode bytes already attached) with the graph_minimap scenario's racy SETUP made deterministic: clear _graph_sticky before the second navigation so Space is known to be entering the graph, not leaving it. No assertion changed.
Result: {"status":"keep","total_ms":22980.2,"lg_boot_ms":738.2,"lg_decomp_ms":2401.8,"lg_graph_ms":944.1,"lg_hex_ms":920.6,"lg_index_ms":75.2,"lg_listing_cold_ms":538.5,"lg_listing_warm_ms":411.1,"lg_nav_ms":6813.9,"lg_palette_ms":4.9,"lg_render_ms":221.8,"lg_search_ms":5630.1,"pure_graph_ms":240.7,"sm_boot_ms":537.5,"sm_decomp_ms":595.1,"sm_graph_ms":715.7,"sm_hex_ms":858.8,"sm_index_ms":0,"sm_listing_cold_ms":263.3,"sm_listing_warm_ms":265.3,"sm_nav_ms":335.2,"sm_palette_ms":0.3,"sm_render_ms":271.4,"sm_search_ms":196.5,"fails":0}
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finditer+char-slicing, and collapse whitespace with ' '.join(txt.split()) instead of a regex sub. 13.15 -> 11.07 us/line (the previous finditer attempt was 14.4, i.e. SLOWER than the original char loop it replaced).
Result: {"status":"keep","total_ms":26050.2,"lg_boot_ms":727.4,"lg_decomp_ms":2618.1,"lg_graph_ms":935.1,"lg_hex_ms":954.2,"lg_index_ms":67.4,"lg_listing_cold_ms":459.3,"lg_listing_warm_ms":545.7,"lg_nav_ms":9257.8,"lg_palette_ms":4.7,"lg_render_ms":238.8,"lg_search_ms":5472.5,"pure_graph_ms":530.7,"sm_boot_ms":534.6,"sm_decomp_ms":635.8,"sm_graph_ms":748.1,"sm_hex_ms":858.7,"sm_index_ms":0,"sm_listing_cold_ms":268.7,"sm_listing_warm_ms":269.2,"sm_nav_ms":441.6,"sm_palette_ms":0.3,"sm_render_ms":281.7,"sm_search_ms":200,"fails":0}
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Its deadline mechanism profiles every python call/return so a pure-python tool loop can be interrupted; our tools are call-heavy, so it taxed the whole backend 3.3x. Worker now sets IDA_MCP_TOOL_TIMEOUT_SEC=0 and arms the deadline itself with one polling watchdog thread + ida_kernwin.set_cancelled() (the half that actually frees the IDA main thread). Also rewrote _idatui_spans to jump between colour tags instead of walking characters (byte-identical over 258k real lines).
Result: {"status":"keep","total_ms":26923.9,"lg_boot_ms":762.2,"lg_decomp_ms":2631.7,"lg_graph_ms":941.8,"lg_hex_ms":1052,"lg_index_ms":67.2,"lg_listing_cold_ms":440.6,"lg_listing_warm_ms":530.5,"lg_nav_ms":10598.3,"lg_palette_ms":4.6,"lg_render_ms":227.8,"lg_search_ms":5265.5,"pure_graph_ms":237.9,"sm_boot_ms":535.3,"sm_decomp_ms":631.8,"sm_graph_ms":702.1,"sm_hex_ms":841.1,"sm_index_ms":0,"sm_listing_cold_ms":268.2,"sm_listing_warm_ms":269.4,"sm_nav_ms":443.6,"sm_palette_ms":0.3,"sm_render_ms":277.8,"sm_search_ms":194.4,"fails":0}
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