645,016 results for 'var result repo:duckduckgo/zeroclickinfo-spice' (3921 ms)
Var.cs https://bitbucket.org/eumario/csharp-sqlite.git | C# | 2,493 lines
776 777 if ( var.isVarUndefined() && !var.isVarArrayElement() ) 778 { 971 { 972 string msg = callTraces( interp, array, var, part1, part2, ( flags & ( TCL.VarFlag.NAMESPACE_ONLY | TCL.VarFlag.GLOBAL_ONLY ) ) | TCL.VarFlag.TRACE_READS ); 973 if ( (System.Object)msg != null ) 1940 { 1941 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1942 } 2467 2468 static protected internal void cleanupVar( Var var, Var array ) 2469 { 2469 { 2470 if ( var.isVarUndefined() && ( var.refCount == 0 ) && ( var.traces == null ) && ( ( var.flags & VarFlags.IN_HASHTABLE ) != 0 ) ) 2471 {Var.cs https://bitbucket.org/KyanhaLLC/opensim-libs.git | C# | 2,477 lines
759 760 if ( var.isVarUndefined() && !var.isVarArrayElement() ) 761 { 954 { 955 string msg = callTraces( interp, array, var, part1, part2, ( flags & ( TCL.VarFlag.NAMESPACE_ONLY | TCL.VarFlag.GLOBAL_ONLY ) ) | TCL.VarFlag.TRACE_READS ); 956 if ( (System.Object)msg != null ) 1923 { 1924 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1925 } 2450 2451 static protected internal void cleanupVar( Var var, Var array ) 2452 { 2452 { 2453 if ( var.isVarUndefined() && ( var.refCount == 0 ) && ( var.traces == null ) && ( ( var.flags & VarFlags.IN_HASHTABLE ) != 0 ) ) 2454 {Var.cs https://bitbucket.org/KyanhaLLC/opensim-libs.git | C# | 2,477 lines
759 760 if ( var.isVarUndefined() && !var.isVarArrayElement() ) 761 { 954 { 955 string msg = callTraces( interp, array, var, part1, part2, ( flags & ( TCL.VarFlag.NAMESPACE_ONLY | TCL.VarFlag.GLOBAL_ONLY ) ) | TCL.VarFlag.TRACE_READS ); 956 if ( (System.Object)msg != null ) 1923 { 1924 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1925 } 2450 2451 static protected internal void cleanupVar( Var var, Var array ) 2452 { 2452 { 2453 if ( var.isVarUndefined() && ( var.refCount == 0 ) && ( var.traces == null ) && ( ( var.flags & VarFlags.IN_HASHTABLE ) != 0 ) ) 2454 {result-widget.js https://github.com/wojcieszek-michal/js-common-libs.git | JavaScript | 1,025 lines
437 var id = _this.jobId+value+item.tags; 438 _this.resultTables[id] = new ResultTable (_this.jobId, value, item.tags,{targetId:'resultTable_'+id}); 439// _this.resultTables[id].onRendered. 579 genomeViewer.addSidePanelItems(); 580 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{ 581 width:width-2, 944 {xtype:'button',text:'<span class="info">Variant filter tool...</span>',handler:function(){ 945 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{viewer:genomeViewer,fileNames:_this.variantFiles}); 946// variantFilterWidget.draw(); 1008 case "Summary": return "<p>This section shows the number of genes annotated to each database in each list.</p><br><p>Gene list: contains three elements, the number of genes in your gene list annotated in the database over the total number of genes remaining in your gene list after the duplicates management, a percentage of genes in your gene list annotated in the database and the ratio of regulators per gene.<br> Genome: the same structure explained above but applied to the whole genome (TFBS or miRNA) or Your Annotations after the duplicates management.</p>"; 1009 case "Significant Results": return "<p>We consider a significant enrichment after correcting the results by a multiple testing correction method. Enrichment p-values are corrected applying the False discovery rate (FDR) method (Benjamini et al., 1995; Storey andTibshirani, 2003). The threshold of signification applied to the correction has been set to 0.05.</p><br><p>The table provided summarizes the information about the enrichment test for each of the significant regulatory elements that have an Adjusted p-value < 0.05. The table is originally sorted by adjusted p-value and can be sorted up and down by clicking in any of the other column headings. When the number of significant results in a table is higher than five, results are split into different pages. You can move forward or backward in the page list using the arrow buttons.</p>"; 1010 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 1010 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 1011 case "Annotation files": return "<p>When significant results are obtained, we can suppose that there is one or several regulatory elements behaving different when comparing groups. The list of genes included in the analysis have pointed to a significantly over-represented set of common regulators to these genes. The interpretation of the results will be different in the case of TFs (transcription factors) and miRNAs given that (generally) the first are positive regulators and the latter are negative regulators.</p><br><p>TFs generally bind to the promoter region of their target genes to assist and promote the transcription. miRNAs, on the other hand, bind to transcript products preventing them from being translated. Significant TF and miRNAs can be pointed to be responsible for the differential expression of the genes observed in the list. We must take special care in the interpretation of over-expressed or under-expressed genes in a functional analysis. In the case of TFs, if we are working with the list of over-expressed genes, the significant results makes reference to active TFs in one condition with respect to the other; while significant results of under-expressed genes makes reference to inactive TFs. In miRNAs, significant results of over-expressed genes will point to inactive miRNAs, while significant results of under-expressed genes will point to active miRNAs when comparing conditions.</p>"; 1012 default: return "";result-widget-wum.js https://github.com/wojcieszek-michal/js-common-libs.git | JavaScript | 989 lines
406 var value = item.value; 407 _this.resultTables[id] = new ResultTable (_this.jobId, value, item.tags,{targetId:'resultTable_'+id}); 408// _this.resultTables[id].onRendered. 547 genomeViewer.addSidePanelItems(); 548 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{ 549 width:width-2, 908 {xtype:'button',text:'<span class="info">Variant filter tool...</span>',handler:function(){ 909 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{viewer:genomeViewer,fileNames:_this.variantFiles}); 910// variantFilterWidget.draw(); 972 case "Summary": return "<p>This section shows the number of genes annotated to each database in each list.</p><br><p>Gene list: contains three elements, the number of genes in your gene list annotated in the database over the total number of genes remaining in your gene list after the duplicates management, a percentage of genes in your gene list annotated in the database and the ratio of regulators per gene.<br> Genome: the same structure explained above but applied to the whole genome (TFBS or miRNA) or Your Annotations after the duplicates management.</p>"; 973 case "Significant Results": return "<p>We consider a significant enrichment after correcting the results by a multiple testing correction method. Enrichment p-values are corrected applying the False discovery rate (FDR) method (Benjamini et al., 1995; Storey andTibshirani, 2003). The threshold of signification applied to the correction has been set to 0.05.</p><br><p>The table provided summarizes the information about the enrichment test for each of the significant regulatory elements that have an Adjusted p-value < 0.05. The table is originally sorted by adjusted p-value and can be sorted up and down by clicking in any of the other column headings. When the number of significant results in a table is higher than five, results are split into different pages. You can move forward or backward in the page list using the arrow buttons.</p>"; 974 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 974 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 975 case "Annotation files": return "<p>When significant results are obtained, we can suppose that there is one or several regulatory elements behaving different when comparing groups. The list of genes included in the analysis have pointed to a significantly over-represented set of common regulators to these genes. The interpretation of the results will be different in the case of TFs (transcription factors) and miRNAs given that (generally) the first are positive regulators and the latter are negative regulators.</p><br><p>TFs generally bind to the promoter region of their target genes to assist and promote the transcription. miRNAs, on the other hand, bind to transcript products preventing them from being translated. Significant TF and miRNAs can be pointed to be responsible for the differential expression of the genes observed in the list. We must take special care in the interpretation of over-expressed or under-expressed genes in a functional analysis. In the case of TFs, if we are working with the list of over-expressed genes, the significant results makes reference to active TFs in one condition with respect to the other; while significant results of under-expressed genes makes reference to inactive TFs. In miRNAs, significant results of over-expressed genes will point to inactive miRNAs, while significant results of under-expressed genes will point to active miRNAs when comparing conditions.</p>"; 976 default: return "";result-widget.js https://github.com/aaleman/jsorolla.git | JavaScript | 1,026 lines
438 var id = _this.jobId+value+item.tags; 439 _this.resultTables[id] = new ResultTable (_this.jobId, value, item.tags,{targetId:'resultTable_'+id}); 440// _this.resultTables[id].onRendered. 580 genomeViewer.addSidePanelItems(); 581 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{ 582 width:width-2, 945 {xtype:'button',text:'<span class="info">Variant filter tool...</span>',handler:function(){ 946 var variantFilterWidget = new VariantFilterWidget(_this.jobId,{viewer:genomeViewer,fileNames:_this.variantFiles}); 947// variantFilterWidget.draw(); 1009 case "Summary": return "<p>This section shows the number of genes annotated to each database in each list.</p><br><p>Gene list: contains three elements, the number of genes in your gene list annotated in the database over the total number of genes remaining in your gene list after the duplicates management, a percentage of genes in your gene list annotated in the database and the ratio of regulators per gene.<br> Genome: the same structure explained above but applied to the whole genome (TFBS or miRNA) or Your Annotations after the duplicates management.</p>"; 1010 case "Significant Results": return "<p>We consider a significant enrichment after correcting the results by a multiple testing correction method. Enrichment p-values are corrected applying the False discovery rate (FDR) method (Benjamini et al., 1995; Storey andTibshirani, 2003). The threshold of signification applied to the correction has been set to 0.05.</p><br><p>The table provided summarizes the information about the enrichment test for each of the significant regulatory elements that have an Adjusted p-value < 0.05. The table is originally sorted by adjusted p-value and can be sorted up and down by clicking in any of the other column headings. When the number of significant results in a table is higher than five, results are split into different pages. You can move forward or backward in the page list using the arrow buttons.</p>"; 1011 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 1011 case "All results": return "This section contains a downloadable individual text file containing all results for all significant and not significant regulators. This file follows the same structure described above."; 1012 case "Annotation files": return "<p>When significant results are obtained, we can suppose that there is one or several regulatory elements behaving different when comparing groups. The list of genes included in the analysis have pointed to a significantly over-represented set of common regulators to these genes. The interpretation of the results will be different in the case of TFs (transcription factors) and miRNAs given that (generally) the first are positive regulators and the latter are negative regulators.</p><br><p>TFs generally bind to the promoter region of their target genes to assist and promote the transcription. miRNAs, on the other hand, bind to transcript products preventing them from being translated. Significant TF and miRNAs can be pointed to be responsible for the differential expression of the genes observed in the list. We must take special care in the interpretation of over-expressed or under-expressed genes in a functional analysis. In the case of TFs, if we are working with the list of over-expressed genes, the significant results makes reference to active TFs in one condition with respect to the other; while significant results of under-expressed genes makes reference to inactive TFs. In miRNAs, significant results of over-expressed genes will point to inactive miRNAs, while significant results of under-expressed genes will point to active miRNAs when comparing conditions.</p>"; 1013 default: return "";class.result.list.js https://bitbucket.org/crackbrain/gradebook | JavaScript | 310 lines
203 if (result) { 204 var value = result.result(); 205 if (value) { 221 var sum = _.reduce(items, function (memo, item) { 222 var result = item.getByType(type, id); 223 if (result) { 239 return _.all(items, function (item) { 240 var result = item.getByType("Task", taskId); 241 if (result != null) { 241 if (result != null) { 242 return result.result() > 0; 243 } 301 self.items.sort(function (left, right) { 302 var leftValue = left.getTaskResult(task); 303 var rightValue = right.getTaskResult(task);result.js https://github.com/eventualbuddha/guard-jasmine.git | JavaScript | 129 lines
5 6 function Result(result, logs, errors, options) { 7 this.result = result; 48 suite.suites = (function() { 49 var _i, _len, _ref, _results; 50 _ref = suite.suites; 81 suite.suites = (function() { 82 var _i, _len, _ref, _results; 83 _ref = suite.suites; 86 s = _ref[_i]; 87 _results.push(this.cleanResult(s)); 88 } 109 } 110 this.cleanResult(this.result); 111 return this.result;result.js https://github.com/twistedvisions/node-postgres.git | JavaScript | 95 lines
1var types = require(__dirname + '/types/'); 2 5//passed as second argument to provided callback 6var Result = function(rowMode) { 7 this.command = null; 18 19var matchRegexp = /([A-Za-z]+) ?(\d+ )?(\d+)?/; 20 21//adds a command complete message 22Result.prototype.addCommandComplete = function(msg) { 23 var match; 43 44Result.prototype._parseRowAsArray = function(rowData) { 45 var row = []; 87 //this is some craziness to compile the row result parsing 88 //results in ~60% speedup on large query result sets 89 ctorBody += inlineParser(desc.name, i);class.result.list.js https://bitbucket.org/academium/gradebook | JavaScript | 203 lines
149 150 var studentRate = classResult.rate(); 151 if (!studentRate) return 0; 169 var sum = _.reduce(items, function (memo, item) { 170 var taskResult = _.find(item.results(), function (r) { 171 return r.taskId == task.id; 173 if (taskResult != null) { 174 var result = parseInt(taskResult.result()); 175 if (result) return memo + result; 186 return _.all(items, function (item) { 187 var taskResult = _.find(item.results(), function (r) { 188 return r.taskId == task.id; 190 if (taskResult != null) { 191 return taskResult.result() > 0; 192 }result.js https://github.com/lordsngrmkr/node-postgres.git | JavaScript | 103 lines
1var types = require('pg-types'); 2 5//passed as second argument to provided callback 6var Result = function(rowMode) { 7 this.command = null; 19 20var matchRegexp = /([A-Za-z]+) ?(\d+ )?(\d+)?/; 21 22//adds a command complete message 23Result.prototype.addCommandComplete = function(msg) { 24 var match; 44 45Result.prototype._parseRowAsArray = function(rowData) { 46 var row = []; 93 //this is some craziness to compile the row result parsing 94 //results in ~60% speedup on large query result sets 95 ctorBody += inlineParser(desc.name, i);Result.Void.cs https://github.com/HEskandari/Castle.InversionOfControl.git | C# | 440 lines
22 /// <param name="result">The result.</param> 23 public delegate void ResultDelegate(Result result); 24 247 var result = Result.Of(action); 248 result.SetCallbackInfo((IAsyncResult cb) => callback(result), state); 249 return result; 341 { 342 var result = (Result)asyncResult; 343 if (result.asyncCallback != null) 428 429 internal static Result EnsureResult(IAsyncResult asyncResult) 430 { 430 { 431 var result = asyncResult as Result; 432 if (result == null)result.js https://bitbucket.org/ormico/nesteddatatables | JavaScript | 207 lines
4 5var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); 6 26 * @example 27 * var result2 = postcss.parse(css).toResult(); 28 */ 104 * if ( result.map ) { 105 * fs.writeFileSync(result.opts.to + '.map', result.map.toString()); 106 * } 114 * @example 115 * result + '' === result.css 116 * 182 * @example 183 * result.css === result.content; 184 */Result.cs https://bitbucket.org/efz/effiproz | C# | 1,695 lines
517 { 518 Result result = NewResult(ResultConstants.Value); 519 532 { 533 Result result = NewResult(ResultConstants.Value); 534 592 { 593 Result result = NewResult(ResultConstants.UpdateResult); 594 750 { 751 Result result = NewResult(ResultConstants.Updatecount); 752 Result dataResult = NewGeneratedDataResult(meta); 909 { 910 Result result = NewResult(ResultConstants.Data); 911result.js https://github.com/hflw/question-party.git | JavaScript | 67 lines
6// Result set 7var ResultBase = function(fields) { 8 this.fields = fields; 18} 19sys.inherits(Result, ResultBase); 20exports.Result = Result; 33Result.prototype.toHash = function(row) { 34 var result, name, field; 35 result = {}; 44 45var StatementResult = function(fields, protocol) { 46 ResultBase.call(this, fields); 48} 49sys.inherits(StatementResult, ResultBase); 50exports.StatementResult = Result;Var.cs https://hg01.codeplex.com/brutile | C# | 2,494 lines
1562 1563 if ( dummyVar.isVarArray() && !dummyVar.isVarUndefined() ) 1564 { 1564 { 1565 deleteArray( interp, part1, dummyVar, ( flags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ) ) | TCL.VarFlag.TRACE_UNSETS ); 1566 } 1743 { 1744 result = lookupVar( interp, part1, part2, flags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ), null, false, false ); 1745 if ( result == null ) 1907 varFrame = interp.varFrame; 1908 if ( ( ( myFlags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ) ) != 0 ) || ( varFrame == null ) || !varFrame.isProcCallFrame || ( myName.IndexOf( "::" ) != -1 ) ) 1909 { 1940 { 1941 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1942 }Var.cs https://code.google.com/p/csharp-tcl/ | C# | 2,494 lines
1548 dummyVar.flags &= ~VarFlags.TRACE_ACTIVE; 1549 callTraces( interp, array, dummyVar, part1, part2, ( flags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ) ) | TCL.VarFlag.TRACE_UNSETS ); 1550 1562 1563 if ( dummyVar.isVarArray() && !dummyVar.isVarUndefined() ) 1564 { 1743 { 1744 result = lookupVar( interp, part1, part2, flags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ), null, false, false ); 1745 if ( result == null ) 1907 varFrame = interp.varFrame; 1908 if ( ( ( myFlags & ( TCL.VarFlag.GLOBAL_ONLY | TCL.VarFlag.NAMESPACE_ONLY ) ) != 0 ) || ( varFrame == null ) || !varFrame.isProcCallFrame || ( myName.IndexOf( "::" ) != -1 ) ) 1909 { 1940 { 1941 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1942 }Var.cs git://github.com/plainprogrammer/csharp-sqlite.git | C# | 2,476 lines
759 760 if ( var.isVarUndefined() && !var.isVarArrayElement() ) 761 { 954 { 955 string msg = callTraces( interp, array, var, part1, part2, ( flags & ( TCL.VarFlag.NAMESPACE_ONLY | TCL.VarFlag.GLOBAL_ONLY ) ) | TCL.VarFlag.TRACE_READS ); 956 if ( (System.Object)msg != null ) 1923 { 1924 throw new TclException( interp, "bad variable name \"" + myName + "\": upvar won't create namespace variable that refers to procedure variable" ); 1925 } 2450 2451 static protected internal void cleanupVar( Var var, Var array ) 2452 { 2452 { 2453 if ( var.isVarUndefined() && ( var.refCount == 0 ) && ( var.traces == null ) && ( ( var.flags & VarFlags.IN_HASHTABLE ) != 0 ) ) 2454 {Var.cpp https://github.com/mkrivos/poco.git | C++ | 665 lines
119 120Var& Var::operator += (const Var& other) 121{ 169 170const Var Var::operator * (const Var& other) const 171{ 185 186Var& Var::operator *= (const Var& other) 187{ 217 218Var& Var::operator /= (const Var& other) 219{ 658/* 659Var& Var::structIndexOperator(VarHolderImpl<Struct<int> >* pStr, int n) const 660{use-result.js https://bitbucket.org/mpuckett/iostudio-whiteboard.git | JavaScript | 60 lines
2* A very simple node web server that demonstrates how to use 3* the Tropo Result object. 4*/ 6 7var http = require('http'); 8var tropowebapi = require('tropo-webapi'); 9 10var server = http.createServer(function (request, response) { 11 25 // Create a new instance of the TropoWebAPI object. 26 var tropo = new tropowebapi.TropoWebAPI(); 27 43 // Create a new instance of the Result object and give it the JSON delivered from Tropo. 44 var result = Result(json); 45 tropo.say("Your selection was, " + result.interpretation + ". Goodbye.");