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| "path": "C:\\GitHub\\Vesuvius\\tools\\convert_gn_to_bn.py", |
| "preview": "class VesuviusEncoderGN(nn.Module): def __init__(self, in_channels=1, base_channels=32): super().__init__() c = base_channels self.enc2_0 = ConvBlockGN(in_channels, c) self.enc2_1 = ConvBlockGN(c * 1, c * 2) self.enc2_2 = ConvBlockGN(c * 4," |
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| "path": "C:\\GitHub\\Vesuvius\\tools\\convert_gn_to_bn.py", |
| "preview": "class VesuviusEncoderBN(nn.Module): def __init__(self, in_channels=1, base_channels=32): super().__init__() c = base_channels self.enc2_0 = ConvBlockBN(in_channels, c) self.enc2_1 = ConvBlockBN(c * 1, c * 2) self.enc2_2 = ConvBlockBN(c * 4," |
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| { |
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| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\main.cpp", |
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| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\npy.hpp", |
| "preview": "ed(__ARMEB__) || \\ defined(__THUMBEB__) || \\ defined(__AARCH64EB__) || \\ defined(_MIBSEB) || defined(__MIBSEB) || defined(__MIBSEB__) const bool big_endian = true; #else const bool big_endian = false; #endif const char magic_string[] = \"\\x9" |
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| { |
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| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\_BettiMatching.cpp", |
| "preview": "ut2MatchedDeathCoordinates[dimension].mutable_unchecked(); int i = 0; for (auto &match : matchesByDimension[dimension]) { for (size_t d = 0; d < numDimensions; d++) { input1MatchedBirthCoordinatesView(i, d) = match.pair0.birth[d]; input1Mat" |
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| { |
| "score": 0.640222, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\_BettiMatching.cpp", |
| "preview": "d(); auto input2UnmatchedDeathCoordinatesView = input2UnmatchedDeathCoordinates[dimension].mutable_unchecked(); auto numUnmatchedInput2ByDimView = numUnmatchedInput2ByDim.mutable_unchecked(); for (auto &unmatched : input2UnmatchedByDimensio" |
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| { |
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| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\src_1D\\data_structures.cpp", |
| "preview": "cout << \"0 \"; } } } value_t *CubicalGridComplex::allocateMemory() const { value_t *g = new value_t[shape[0] + 2]; if (g == NULL) { throw runtime_error(\"Out of memory!\"); } return g; } void CubicalGridComplex::getGridFromVector(const vector<" |
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| { |
| "score": 0.700051, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\src_2D\\data_structures.cpp", |
| "preview": "ut << \"0 \"; } } cout << endl; } } value_t **CubicalGridComplex::allocateMemory() const { value_t **g = new value_t *[shape[0] + 2]; for (index_t i = 0; i < shape[0] + 2; ++i) { g[i] = new value_t[shape[1] + 2]; } if (g == NULL) { throw runt" |
| }, |
| { |
| "score": 0.678344, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\metric\\topological-metrics-kaggle\\external\\Betti-Matching-3D\\src\\src_nD\\data_structures.cpp", |
| "preview": "index_t idx = 0; for (size_t i = dim; i-- > 0;) { idx += pixelCoordinates[i] * pixelCoordFactor[i]; } return idx; } value_t CubicalGridComplex::getValue(const vector<index_t> &pixelCoordinates) const { return image[getIndex(pixelCoordinates" |
| }, |
| { |
| "score": 0.602299, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "licks= 0},300):(clearTimeout(d.Namespace.clickTimer),e(f),d.Namespace.clicks=0)});d.addEventListener(\"dblclick\",function(f){f.preventDefault()})}})(window.BigLime=window.BigLime||{}); (function(c){function t(f,g){f=c(this);!0!==f.data(\"tap_" |
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| { |
| "score": 0.613187, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "];this.dragStartFunc=this._onDragStart.bind(this);this.dragMoveFunc=this._onDragMove.bind(this); this.dragEndFunc=this._onDragEnd.bind(this);this.onCancel=this.onOk=null;this.neverBeenShown=!0;this._initUi()};c.Dialog.FontFamily=c.Ui.Defaul" |
| }, |
| { |
| "score": 0.765633, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "otype.removeEventListener=function(d,a){c.Notifier.prototype.removeEventListener.call(this,d,a)};c.Dialog.prototype.trigger=function(d,a){c.Notifier.prototype.trigger.call(this,d,a)}})(window.BigLime=window.BigLime||{}); (function(c,t){c.Fp" |
| }, |
| { |
| "score": 0.702794, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "astErrorMsg=function(){for(var d=c.Logger._IncidentList.length-1;0<=d;d--){var a=c.Logger._IncidentList[d];if(a.severity===c.Logger.Severity.Error)return a.msg}return\"\"};c.Logger.LastWarningMsg=function(){for(var d=c.Logger._IncidentList.le" |
| }, |
| { |
| "score": 0.954874, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "w Uint16Array(k[h]),n=0;n<b;n++){var l=n*e;m[l]=m[l+e-1]=0}for(n=0;n<e;n++)m[n]=m[d+n]=0}e=[];e.push(0<g?new Uint8Array(k[0]):null);e.push(1<g?new Uint8Array(k[1]):null);b=0;d=2*f;for(h=0;h<d;h+=2)for(f=0;2>f;f++)e[f]?(this.rgbaBuf[b++]=a.b" |
| }, |
| { |
| "score": 0.679642, |
| "source": "local_repo_vesuvius", |
| "path": "C:\\GitHub\\Vesuvius\\misc\\ScrollSlabViewer\\biglime-min.js", |
| "preview": "ng:0};this.deltaPrevPinch={sep:0,ctr:d.create(),ang:0};this.deltaStartPinch={sep:0,ctr:d.create(),ang:0};this.isTouchDevice?(this.touchStartListener=this._onStartBase.bind(this),this.touchMoveListener=this._onMoveBase.bind(this),this.touchE" |
| } |
| ] |
| } |
