PageRenderTime 3921ms queryFilters 90ms Sphinxql 3095ms GetByIds 782ms meta 0ms repositoryFilters 11ms languageFilters 1ms sourceFilters 1ms

645,016 results for 'var result repo:duckduckgo/zeroclickinfo-spice' (3921 ms)

Source

Language

Repository

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);
911
result.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.");
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