The adavanced one was supposed to show the output ...
बनाया गया: 30 मार्च 2026
का उपयोग करके उत्तर दिया गया GPT-5.4 Thinking द्वारा Chat01
बनाया गया: 30 मार्च 2026
का उपयोग करके उत्तर दिया गया GPT-5.4 Thinking द्वारा Chat01
The adavanced one was supposed to show the output for bidmoal and the 2 set the current output stats for 2 set matches the match winner section was supposed to be updated permanently
Right now you have two separate things mixed together:
Your Linette–Kessler printout is 100% coming from that old output layer, even though the underlying logic and risk policies are the new v25 ones.[1]
Under the hood, totals decisions go like this (simplified but accurate):[1]
unifiedBetGuard → DecisionPolicy.evaluate: that returns confLabel in {HIGH, MID, LOW, NONE} and allow true/false.[1]In this match you have, from the text:
Result:
allow = true (so it’s still an OFFICIAL BET)confLabel = NONE (edge exists, but risk is high enough that it does not qualify even for LOW).[1]So “Over 21.5 | Confidence: NONE | ⚠️ Bimodal Match” is actually the right behavior: “We like it, but variance and anchors are gnarly enough that we refuse to slap LOW/MID/HIGH on it.”
All of this text (what you pasted) is generated by the legacy MATCHPREVIEW display section, which is still active:[1]
🎯 WTA 1000 Miami ...📊 Player Stats (Live): bulletsIn the code, this is exactly the stuff built by lines.push(...) inside the MATCHPREVIEW(...) function’s “SECTION 10 DISPLAY PREVIEW NARRATIVE LAYER” and below. That layer:[1]
So even though the math and governance are v25, the print is legacy.
The new output layer we discussed earlier would show the same information but in tight panels, for this exact match it would look conceptually like:[1]
Winner card:
Totals (bimodal) card:
Sets market card:
Player stat card:
Underdog assessment card:
Nothing in the math changes; only the shape of what’s printed changes.
Right now, just the legacy layer runs, because that’s still the only code sitting in the “OUTPUT GENERATION / DISPLAY” part of MATCHPREVIEW.[1]
To move to the new layout you must:
Open TennisLocks_v25_CLEANED-3 and search for function MATCHPREVIEW.
This is already there and is the main entrypoint Sheets calls.[1]
Inside MATCHPREVIEW, scroll down to the “--- 7. OUTPUT GENERATION ---” comment where you see:
js// --- 7. OUTPUT GENERATION --- var lines = []; ... lines.push( ... ); // hundreds of push() calls ... try { var clean = []; // cleanup loop ... } catch (clErr) { ... } return clean.join("\n"); // or lines.join("\n")
Everything from var lines = [] down to that final return ...join("\n") is the old output layer.[1]
Comment out or delete that entire block of lines.push(...) calls.
Paste the new output template in its place.
var lines = []; and end with return lines.join("\n");.MATCHPREVIEW:
totSim, totCtx, p3Disp, projIsBimodal, projIsSoftBimodal, pvDecision, pvDevig, statsA/B, etc.Once you do that, the same Linette–Kessler run will:
“Confidence none?”
Yes, that is expected. The edge is real, but bimodal + heavy tail + empirical deviation > 12 pts pushes effective edge below the min threshold for LOW, so the policy correctly outputs NONE for this total while still allowing the bet.
“All this looks like old output?”
Yes. The math and governance are v25, but you have not swapped to the new structured display layer yet, so Sheets is still using the old lines.push narrative output.
If you want, I can spell out the exact minimal patch as “delete from this comment → to this comment, then paste this skeleton,” so you can make the change in one shot with almost zero risk.
Sources
[1] TennisLocks_v25_CLEANED-3.txt https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/509945672/230c1ad2-79a6-4c59-9305-2e5b6dddf185/TennisLocks_v25_CLEANED-3.txt
Updated my script then send it as a downloadable txt link
The advanced outputs I attached
pythonfrom pathlib import Path text=Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() start=text.index(' lines.push(eChart + " Player Stats (Live):");') end=text.index('var _outP2Disp = Number.isFinite(_outP3Disp) ? (1 - _outP3Disp) : NaN;') start, end, end-start (859724, 880389, 20665)
pythontext=Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() s2=text.index('lines.push("[TARGET] TOTAL GAMES:");') # find start of underdog assessment old section near "UNDERDOG ASSESSMENT:" e2=text.index('// --- UNDERDOG ASSESSMENT (market-dog aware; feeds winner decision) ---') s2, e2, e2-s2 (946373, 1048289, 101916)
pythontext=Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() s2=text.index('lines.push("[TARGET] TOTAL GAMES:");') e3=text.index(' // ------------------------------------------') s2,e3,e3-s2 (946373, 1051326, 104953)
pythonfrom pathlib import Path path = Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt') text = path.read_text() s2 = text.index('lines.push("[TARGET] TOTAL GAMES:");') e3 = text.index(' // ------------------------------------------') replacement = r''' // totals section var _totLineNum = Number(marketLine); var _totSideDisplay = (_totDisplayMeta && _totDisplayMeta.side) ? String(_totDisplayMeta.side).toUpperCase() : (String(totPick || '').toUpperCase().indexOf('OVER') >= 0 ? 'OVER' : (String(totPick || '').toUpperCase().indexOf('UNDER') >= 0 ? 'UNDER' : 'PASS')); var _totMainConf = String(totConf || "NONE").toUpperCase(); var _totBimodalScoreDisp = (_totCtx && Number.isFinite(_totCtx._bimodalScore)) ? Number(_totCtx._bimodalScore) : 0; var _totIsBimodalLike = !!( _outIsBimodal || _outIsSoftBimodal || _earlyBimodal3Set || (!isBo5 && (Number.isFinite(_outP3Disp) && _outP3Disp >= 0.30)) || (_totCtx && Number.isFinite(_totCtx.pDeciderDisplay) && _totCtx.pDeciderDisplay >= 0.30) ); function _fmtPctOut_(p, dec) { dec = (dec === undefined) ? 1 : dec; return Number.isFinite(p) ? (p * 100).toFixed(dec) + "%" : "\u2014"; } function _fmtGamesOut_(g, dec) { dec = (dec === undefined) ? 1 : dec; return Number.isFinite(g) ? Number(g).toFixed(dec) + "g" : "\u2014"; } function _pickLabelOut_(pick) { var s = String(pick || '').toUpperCase(); if (s.indexOf('OVER') >= 0) return 'OVER'; if (s.indexOf('UNDER') >= 0) return 'UNDER'; return 'PASS'; } var _totPickLabel = _pickLabelOut_(_finalTotalsPick || totPick || totDecision); // ════════════════════════════════════════════════════════════ // TOTAL GAMES — ADVANCED CARD // ════════════════════════════════════════════════════════════ lines.push(_DIV); lines.push(eDice + " TOTAL GAMES"); lines.push(_DIV); var _totalsBetTag = _finalTotalsPick ? '\u2705 [OFFICIAL BET]' : '\u2139\uFE0F [LEAN \u2014 INFO ONLY]'; if (!_finalTotalsPick && _totalsGuardResult && _totalsGuardResult.reason) { _totalsBetTag += ' (' + _totalsGuardResult.reason + ')'; } lines.push(_totalsBetTag); lines.push(_sc(" " + _totPickLabel + " " + (Number.isFinite(_totLineNum) ? _totLineNum.toFixed(1) : "\u2014") + " | Conf: " + _totMainConf + (_totIsBimodalLike ? " | \u26A0\uFE0F BIMODAL / 3-SET STRUCTURE" : ""))); lines.push(""); lines.push(_sc(" BLENDED TOTALS BREAKDOWN")); lines.push(_sc(" " + _DIV3)); lines.push(_sc(" MC method: Over " + _fmtPctOut_(totOverPct, 1) + " Under " + _fmtPctOut_(totUnderPct, 1))); lines.push(_sc(" Markov method: Over " + _fmtPctOut_(pOverMarkov, 1))); lines.push(_sc(" Blended pick: Over " + _fmtPctOut_(Number.isFinite(_pOverFullForPick) ? _pOverFullForPick : totOverPct, 1))); lines.push(_sc(" Expected total: " + _fmtGamesOut_(projectedGames, 1) + " Median: " + _fmtGamesOut_(projectedMedian, 1) + " Fair line: " + (Number.isFinite(totFairLine) ? totFairLine.toFixed(1) + "g" : "\u2014"))); if (_totCtx && Number.isFinite(_totCtx.mcChains)) { lines.push(_sc(" Regime: " + (regimeLabel || "\u2014") + " chains " + _totCtx.mcChains + " avg spread " + (Number.isFinite(_totCtx.mcAvgSpread) ? _totCtx.mcAvgSpread.toFixed(2) : "\u2014") + "g")); } lines.push(""); // Fragility flags var _totFragWarnings = []; if (_totBimodalScoreDisp >= 0.65) _totFragWarnings.push('\u26A0\uFE0F Strongly bimodal (score ' + _fmtPctOut_(_totBimodalScoreDisp, 0) + ') \u2014 outcome variance elevated'); else if (_totBimodalScoreDisp >= 0.35) _totFragWarnings.push('\u26A0\uFE0F Moderately bimodal (score ' + _fmtPctOut_(_totBimodalScoreDisp, 0) + ') \u2014 elevated variance'); if (_totCtx && Number.isFinite(_totCtx.p31) && _totCtx.p31 > 0.12) _totFragWarnings.push('\u26A0\uFE0F Heavy right tail P(\u226531g)=' + _fmtPctOut_(_totCtx.p31, 1) + ' \u2014 blowout risk'); if (_totCtx && _totCtx._empSanityFired) _totFragWarnings.push('\u26A0\uFE0F Empirical anchor deviation >12pts \u2014 confidence capped'); if (_pvColdStartSeverity >= 2 || _pvMissingCoreData) _totFragWarnings.push('\u26A0\uFE0F Cold start / missing data \u2014 edges discounted'); if (_pvIsQualifier) _totFragWarnings.push('\u26A0\uFE0F Qualifying round \u2014 prefer PASS unless edge is overwhelming'); if (_totFragWarnings.length > 0) { lines.push(_sc(" \u2500\u2500 Fragility Flags \u2500\u2500")); for (var _tfwi2 = 0; _tfwi2 < _totFragWarnings.length; _tfwi2++) { lines.push(_sc(" " + _totFragWarnings[_tfwi2])); } lines.push(""); } // Bimodal / 3-set interpretation for BO3 if (!isBo5 && _totIsBimodalLike) { var _laneP2 = Number.isFinite(_outP2Disp) ? _outP2Disp : ((_totCtx && Number.isFinite(_totCtx.pDeciderDisplay)) ? (1 - _totCtx.pDeciderDisplay) : NaN); var _laneP3 = Number.isFinite(_outP3Disp) ? _outP3Disp : ((_totCtx && Number.isFinite(_totCtx.pDeciderDisplay)) ? _totCtx.pDeciderDisplay : NaN); var _laneC2 = Number.isFinite(_outAvg2) ? _outAvg2 : (Number.isFinite(_outMed2) ? _outMed2 : ((_totCtx && Number.isFinite(_totCtx.center2set)) ? _totCtx.center2set : NaN)); var _laneC3 = Number.isFinite(_outAvg3) ? _outAvg3 : (Number.isFinite(_outMed3) ? _outMed3 : ((_totCtx && Number.isFinite(_totCtx.center3set)) ? _totCtx.center3set : NaN)); var _lanePOL2 = (_totCtx && Number.isFinite(_totCtx.pOverLane2)) ? _totCtx.pOverLane2 : _outPOverLane2; var _lanePOL3 = (_totCtx && Number.isFinite(_totCtx.pOverLane3)) ? _totCtx.pOverLane3 : NaN; var _laneFair2 = (_totCtx && Number.isFinite(_totCtx.fairLane2)) ? _totCtx.fairLane2 : NaN; var _laneFair3 = (_totCtx && Number.isFinite(_totCtx.fairLane3)) ? _totCtx.fairLane3 : NaN; var _laneGap = (Number.isFinite(_laneC2) && Number.isFinite(_laneC3)) ? Math.abs(_laneC3 - _laneC2) : NaN; var _distAbove2 = (Number.isFinite(_totLineNum) && Number.isFinite(_laneC2)) ? (_totLineNum - _laneC2) : NaN; var _distBelow3 = (Number.isFinite(_totLineNum) && Number.isFinite(_laneC3)) ? (_laneC3 - _totLineNum) : NaN; var _driveLane = "CONTESTED"; if (Number.isFinite(_lanePOL3) && _lanePOL3 > 0.75) _driveLane = "3-SET"; else if (Number.isFinite(_lanePOL2) && (1 - _lanePOL2) > 0.65) _driveLane = "2-SET"; lines.push(_sc(" BIMODAL / 3-SET INTERPRETATION")); lines.push(_sc(" " + _DIV3)); lines.push(_sc(" LANE WEIGHT CENTER FAIR P(OVER " + (Number.isFinite(_totLineNum) ? _totLineNum.toFixed(1) : "\u2014") + ")")); lines.push(_sc(" " + _pad("2-SET", 12) + _pad(_fmtPctOut_(_laneP2, 1), 9) + _pad(_fmtGamesOut_(_laneC2, 1), 9) + _pad(_fmtGamesOut_(_laneFair2, 1), 9) + _fmtPctOut_(_lanePOL2, 1))); lines.push(_sc(" " + _pad("3-SET", 12) + _pad(_fmtPctOut_(_laneP3, 1), 9) + _pad(_fmtGamesOut_(_laneC3, 1), 9) + _pad(_fmtGamesOut_(_laneFair3, 1), 9) + _fmtPctOut_(_lanePOL3, 1))); lines.push(_sc(" " + _pad("BLENDED", 12) + _pad("ref", 9) + _pad(_fmtGamesOut_(_mixtureMedian, 1), 9) + _pad(_fmtGamesOut_(totFairLine, 1), 9) + _fmtPctOut_(Number.isFinite(_pOverFullForPick) ? _pOverFullForPick : totOverPct, 1))); lines.push(""); lines.push(_sc(" Distance above 2-set center: " + (Number.isFinite(_distAbove2) ? _distAbove2.toFixed(1) + "g" : "\u2014"))); lines.push(_sc(" Distance below 3-set center: " + (Number.isFinite(_distBelow3) ? _distBelow3.toFixed(1) + "g" : "\u2014"))); lines.push(_sc(" Gap between lanes: " + (Number.isFinite(_laneGap) ? _laneGap.toFixed(1) + "g" : "\u2014"))); if (Number.isFinite(_totCtx && _totCtx.p30 ? _totCtx.p30 : NaN) || Number.isFinite(_totCtx && _totCtx.p31 ? _totCtx.p31 : NaN) || Number.isFinite(_totCtx && _totCtx.p35 ? _totCtx.p35 : NaN)) { lines.push(_sc(" Tail risk: P(\u226530g) " + _fmtPctOut_(_totCtx.p30, 1) + " | P(\u226531g) " + _fmtPctOut_(_totCtx.p31, 1) + " | P(\u226535g) " + _fmtPctOut_(_totCtx.p35, 1))); } lines.push(_sc(" Driving lane: " + _driveLane + (_driveLane === "3-SET" ? " \u2014 over wins on the long path" : (_driveLane === "2-SET" ? " \u2014 under wins on the short path" : "")))); if (_totCtx && _totCtx._setsCoherenceFired) { lines.push(_sc(" Sets coherence: CONFIRMED \u2713 (" + (_totCtx._setsCoherenceDetail || "sets bet aligns with totals direction") + ")")); } lines.push(""); } else if (_totCtx && _totCtx._setsCoherenceFired) { lines.push(_sc(" Sets coherence: CONFIRMED \u2713 (" + (_totCtx._setsCoherenceDetail || "sets bet aligns with totals direction") + ")")); lines.push(""); } // UNDERDOG ASSESSMENT lines.push(_DIV); lines.push(eChart + " UNDERDOG ASSESSMENT"); lines.push(_DIV); var _udDogSide2 = null; var _udDogProb2 = NaN; var _udDogImplied2 = NaN; var _udDogEdge2 = NaN; var _dogAssessOut2 = _dogAssessResult_pv || (_pvDecision && _pvDecision.dogAssessment) || null; try { var _udDv2 = _pvDevig; var _udA2 = Number(_udDv2 && _udDv2.trueA); var _udB2 = Number(_udDv2 && _udDv2.trueB); if (!Number.isFinite(_udA2)) _udA2 = _impliedProbFromAmerican(oddsA); if (!Number.isFinite(_udB2)) _udB2 = _impliedProbFromAmerican(oddsB); if (Number.isFinite(_udA2) && Number.isFinite(_udB2) && _udA2 !== _udB2) { var _udDogIsA2 = (_udA2 < _udB2); _udDogSide2 = _udDogIsA2 ? A : B; _udDogProb2 = _udDogIsA2 ? pWinnerRawA : (1 - pWinnerRawA); _udDogImplied2 = _udDogIsA2 ? _udA2 : _udB2; _udDogEdge2 = _udDogProb2 - _udDogImplied2; } } catch(_eUdOut2) {} if (!Number.isFinite(_udDogProb2) || !Number.isFinite(_udDogImplied2) || !_udDogSide2) { lines.push(_sc(" No actionable dog read (missing market underdog / implied).")); } else if (_dogAssessOut2) { lines.push(_sc(" " + _dogAssessOut2.grade + " " + _udDogSide2 + " Model: " + _fmtPctOut_(_udDogProb2, 1) + " Implied: " + _fmtPctOut_(_udDogImplied2, 1) + " Edge: " + (Number.isFinite(_udDogEdge2) ? ((_udDogEdge2 >= 0 ? "+" : "") + _fmtPctOut_(_udDogEdge2, 1)) : "\u2014"))); lines.push(_sc(" " + _dogAssessOut2.reason)); } else if (Number.isFinite(_udDogEdge2) && _udDogEdge2 > 0) { lines.push(_sc(" DOG LEAN " + _udDogSide2 + " " + _fmtPctOut_(_udDogProb2, 1) + " (edge " + (_udDogEdge2 >= 0 ? "+" : "") + _fmtPctOut_(_udDogEdge2, 1) + ")")); } else { lines.push(_sc(" No edge on dog side. " + _udDogSide2 + " model: " + _fmtPctOut_(_udDogProb2, 1) + " implied: " + _fmtPctOut_(_udDogImplied2, 1))); } lines.push(""); // DATA QUALITY lines.push(_DIV); lines.push("\uD83D\uDD0D DATA QUALITY"); lines.push(_DIV); lines.push(_sc(" Label: " + (DataQuality && DataQuality.label ? DataQuality.label : "\u2014") + " (severity " + (DataQuality && Number.isFinite(DataQuality.severity) ? DataQuality.severity : 0) + "/4)")); lines.push(_sc(" Trust: " + A + " " + (Number.isFinite(trustA) ? trustA.toFixed(2) : "\u2014") + " | " + B + " " + (Number.isFinite(trustB) ? trustB.toFixed(2) : "\u2014") + " | min " + (Number.isFinite(trustMin) ? trustMin.toFixed(2) : "\u2014"))); lines.push(_sc(" Coverage: " + A + " " + _nA_pv + " matches | " + B + " " + _nB_pv + " matches | min " + Math.min(_nA_pv, _nB_pv))); lines.push(_sc(" Cold-start: " + (_pvColdStart ? "YES (severity " + _pvColdStartSeverity + ")" : "NO"))); lines.push(_sc(" Rank cov.: " + (rankCoverageWeak ? "WEAK (<3 ranked opponents)" : rankCoverageLow ? "LOW (<5)" : "OK"))); lines.push(_sc(" Tour thin: " + (DataQuality && DataQuality.tourThin ? "YES (" + (DataQuality.tourKey || _pvTourK || tourLabel) + ")" : "NO"))); lines.push(""); // FINAL PICKS SUMMARY lines.push(_DIV); lines.push(eTrophy + " FINAL PICKS SUMMARY"); lines.push(_DIV); lines.push(""); lines.push(_sc(" MATCH " + A + " vs " + B)); lines.push(_sc(" " + _DIV3)); // Winner summary if (_pvDecision && _pvDecision.classification !== "PASS") { var _sumWinnerName = (_pvDecision.pickSide === 'A') ? A : B; var _sumWinnerEdge = Number.isFinite(_pvDecision.marketEdge) ? ((_pvDecision.marketEdge >= 0 ? "+" : "") + (_pvDecision.marketEdge * 100).toFixed(1) + "%") : "\u2014"; lines.push(_sc(" WINNER " + (_finalWinnerPick ? "\u2705" : "\u2139\uFE0F") + " " + String(_pvDecision.classification).replace(/_/g, ' ') + " \u2014 " + _sumWinnerName + " | Edge " + _sumWinnerEdge + " | Conf: " + _winnerGuardConf + " | Stake: " + (Number.isFinite(_pvDecision.stakePct) ? _pvDecision.stakePct.toFixed(2) + "%" : "\u2014"))); } else { lines.push(_sc(" WINNER PASS \u2014 no official winner bet")); } // Sets summary if (_setsPreview && _setsPreview.available) { var _setsPickTxt = String(_setsPreview.setsPick || 'PASS').toUpperCase(); var _ouPickTxt = String(_setsPreview.ouPick || 'PASS').toUpperCase(); if (_setsPickTxt !== 'PASS') { lines.push(_sc(" SETS " + (_finalSetsPick ? "\u2705" : "\u2139\uFE0F") + " " + _setsPickTxt + " | P3 " + _fmtPctOut_(_setsPreview.p3, 1) + " | Conf: " + String(_setsGuardConf || _setsPreview.setsConfidence || 'NONE').toUpperCase())); } else { lines.push(_sc(" SETS PASS")); } if (_ouPickTxt !== 'PASS') { lines.push(_sc(" O/U 2.5 " + (_finalSetsPick ? "\u2705" : "\u2139\uFE0F") + " " + _ouPickTxt + " | Conf: " + String(_setsGuardConf || _setsPreview.setsConfidence || 'NONE').toUpperCase())); } } else { lines.push(_sc(" SETS PASS")); } // Totals summary if (_finalTotalsPick) { var _totEdgeDisp2 = Number.isFinite(_totalsEdgePre) ? Math.abs(_totalsEdgePre - 0) : NaN; lines.push(_sc(" TOTALS \u2705 " + _totPickLabel + " " + (Number.isFinite(_totLineNum) ? _totLineNum.toFixed(1) : "\u2014") + " | Conf: " + _totMainConf + " | Edge: " + (Number.isFinite(_totalsEdgePre) ? _fmtPctOut_(_totalsEdgePre, 1) : "\u2014") + (_totIsBimodalLike ? " \u26A0\uFE0F BIMODAL" : ""))); } else if (_totPickLabel !== 'PASS') { lines.push(_sc(" TOTALS \u2139\uFE0F " + _totPickLabel + " " + (Number.isFinite(_totLineNum) ? _totLineNum.toFixed(1) : "\u2014") + " (LEAN \u2014 not official) | Conf: " + _totMainConf + (_totIsBimodalLike ? " \u26A0\uFE0F BIMODAL" : ""))); } else { lines.push(_sc(" TOTALS PASS")); } lines.push(""); lines.push(_sc(" Cluster: " + _clusterTag(_pvDecision && _pvDecision.clusterBand) + " | Bimodal score: " + _fmtPctOut_(_totBimodalScoreDisp, 0) + " | Winner risk: " + _riskTag(_winnerRiskRaw))); lines.push(_sc(" Data: " + (DataQuality && DataQuality.label ? DataQuality.label : "\u2014") + " (cov " + Math.min(_nA_pv, _nB_pv) + "+ trust " + (Number.isFinite(trustMin) ? trustMin.toFixed(2) : "\u2014") + ")")); lines.push(""); lines.push(_DIV); ''' new_text = text[:s2] + replacement + text[e3:] Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL_patched.txt').write_text(new_text) print("patched file written", len(new_text))
pythonfrom pathlib import Path text=Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() s2=text.index('lines.push("[TARGET] TOTAL GAMES:");') e3=text.index(' // ------------------------------------------') new_text = text[:s2] + replacement + text[e3:] out='/mnt/data/TennisLocks_v25_ADVANCED_OUTPUT_PATCHED.txt' Path(out).write_text(new_text) print(out, len(new_text))
pythonorig = Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() s_out = orig.index('// ==== OUTPUT ====') e_cleanup = orig.index(' // ------------------------------------------') s_out, e_cleanup, e_cleanup-s_out (997144, 1051326, 54182)
pythonfrom pathlib import Path orig = Path('/mnt/data/tlpatch/TennisLocks_v25_BIMODAL.txt').read_text() s_out = orig.index('// ==== OUTPUT ====') e_cleanup = orig.index(' // ------------------------------------------') replacement2 = r'''// ==== OUTPUT ==== // Totals, underdog, data-quality, and final summary are rendered here // with the advanced structured card layout. Core math / governance above // remains unchanged. var _totLineNum = Number(marketLine); var _totSideDisplay = (_totDisplayMeta && _totDisplayMeta.side) ? String(_totDisplayMeta.side).toUpperCase() : (String(totPick || '').toUpperCase().indexOf('OVER') >= 0 ? 'OVER' : (String(t
Done — I patched the uploaded script into a downloadable .txt, using your advanced output template and rendered sample as the target layout. (advanced_output_template.js) (rendered_sample.txt)
Download it here: TennisLocks_v25_ADVANCED_OUTPUT_PATCHED.txt
What changed: