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How to use attrs method in ATX

Best Python code snippet using ATX

angularjs-nvd3-directives.js

Source:angularjs-nvd3-directives.js

1/*! angularjs-nvd3-directives - v0.0.7 - 2014-04-072 * http://cmaurer.github.io/angularjs-nvd3-directives3 * Copyright (c) 2014 Christian Maurer; Licensed Apache License, v2.0 */4( function () {5  'use strict';6  angular.module( 'legendDirectives', [] ).directive( 'simpleSvgLegend', function () {7    return {8      restrict: 'EA',9      scope: {10        id: '@',11        width: '@',12        height: '@',13        margin: '@',14        x: '@',15        y: '@',16        labels: '@',17        styles: '@',18        classes: '@',19        shapes: '@',20        padding: '@',21        columns: '@'22      },23      compile: function () {24        return function link( scope, element, attrs ) {25          var id, width, height, margin, widthTracker = 0,26            heightTracker = 0,27            columns = 1,28            columnTracker = 0,29            padding = 10,30            paddingStr, svgNamespace = 'http://www.w3.org/2000/svg',31            svg, g, labels, styles, classes, shapes, x = 0,32            y = 0;33          margin = scope.$eval( attrs.margin ) || {34            left: 5,35            top: 5,36            bottom: 5,37            right: 538          };39          width = attrs.width === 'undefined' ? element[ 0 ].parentElement.offsetWidth - ( margin.left + margin.right ) : +attrs.width - ( margin.left + margin.right );40          height = attrs.height === 'undefined' ? element[ 0 ].parentElement.offsetHeight - ( margin.top + margin.bottom ) : +attrs.height - ( margin.top + margin.bottom );41          if ( !attrs.id ) {42            //if an id is not supplied, create a random id.43            id = 'legend-' + Math.random();44          } else {45            id = attrs.id;46          }47          if ( attrs.columns ) {48            columns = +attrs.columns;49          }50          if ( attrs.padding ) {51            padding = +attrs.padding;52          }53          paddingStr = padding + '';54          svg = document.createElementNS( svgNamespace, 'svg' );55          if ( attrs.width ) {56            svg.setAttribute( 'width', width + '' );57          }58          if ( attrs.height ) {59            svg.setAttribute( 'height', height + '' );60          }61          svg.setAttribute( 'id', id );62          if ( attrs.x ) {63            x = +attrs.x;64          }65          if ( attrs.y ) {66            y = +attrs.y;67          }68          element.append( svg );69          g = document.createElementNS( svgNamespace, 'g' );70          g.setAttribute( 'transform', 'translate(' + x + ',' + y + ')' );71          svg.appendChild( g );72          if ( attrs.labels ) {73            labels = scope.$eval( attrs.labels );74          }75          if ( attrs.styles ) {76            styles = scope.$eval( attrs.styles );77          }78          if ( attrs.classes ) {79            classes = scope.$eval( attrs.classes );80          }81          if ( attrs.shapes ) {82            shapes = scope.$eval( attrs.shapes );83          }84          for ( var i in labels ) {85            if ( labels.hasOwnProperty( i ) ) {86              var shpe = shapes[ i ],87                shape, text, textSize, g1;88              if ( columnTracker % columns === 0 ) {89                widthTracker = 0;90                heightTracker = heightTracker + ( padding + padding * 1.5 );91              }92              g1 = document.createElementNS( svgNamespace, 'g' );93              g1.setAttribute( 'transform', 'translate(' + widthTracker + ', ' + heightTracker + ')' );94              if ( shpe === 'rect' ) {95                shape = document.createElementNS( svgNamespace, 'rect' );96                //x, y, rx, ry97                shape.setAttribute( 'y', 0 - padding / 2 + '' );98                shape.setAttribute( 'width', paddingStr );99                shape.setAttribute( 'height', paddingStr );100              } else if ( shpe === 'ellipse' ) {101                shape = document.createElementNS( svgNamespace, 'ellipse' );102                shape.setAttribute( 'rx', paddingStr );103                shape.setAttribute( 'ry', padding + padding / 2 + '' );104              } else {105                shape = document.createElementNS( svgNamespace, 'circle' );106                shape.setAttribute( 'r', padding / 2 + '' );107              }108              if ( styles && styles[ i ] ) {109                shape.setAttribute( 'style', styles[ i ] );110              }111              if ( classes && classes[ i ] ) {112                shape.setAttribute( 'class', classes[ i ] );113              }114              g1.appendChild( shape );115              widthTracker = widthTracker + shape.clientWidth + ( padding + padding / 2 );116              text = document.createElementNS( svgNamespace, 'text' );117              text.setAttribute( 'transform', 'translate(10, 5)' );118              text.appendChild( document.createTextNode( labels[ i ] ) );119              g1.appendChild( text );120              g.appendChild( g1 );121              textSize = text.clientWidth;122              widthTracker = widthTracker + textSize + ( padding + padding * 0.75 );123              columnTracker++;124            }125          }126        };127      }128    };129  } ).directive( 'nvd3Legend', [130    function () {131      var margin, width, height, id;132      return {133        restrict: 'EA',134        scope: {135          data: '=',136          id: '@',137          margin: '&',138          width: '@',139          height: '@',140          key: '&',141          color: '&',142          align: '@',143          rightalign: '@',144          updatestate: '@',145          radiobuttonmode: '@',146          x: '&',147          y: '&'148        },149        link: function ( scope, element, attrs ) {150          scope.$watch( 'data', function ( data ) {151            if ( data ) {152              if ( scope.chart ) {153                return d3.select( '#' + attrs.id + ' svg' ).attr( 'height', height ).attr( 'width', width ).datum( data ).transition().duration( 250 ).call( scope.chart );154              }155              margin = scope.$eval( attrs.margin ) || {156                top: 5,157                right: 0,158                bottom: 5,159                left: 0160              };161              width = attrs.width === undefined ? element[ 0 ].parentElement.offsetWidth - ( margin.left + margin.right ) : +attrs.width - ( margin.left + margin.right );162              height = attrs.height === undefined ? element[ 0 ].parentElement.offsetHeight - ( margin.top + margin.bottom ) : +attrs.height - ( margin.top + margin.bottom );163              if ( width === undefined || width < 0 ) {164                width = 400;165              }166              if ( height === undefined || height < 0 ) {167                height = 20;168              }169              if ( !attrs.id ) {170                //if an id is not supplied, create a random id.171                id = 'legend-' + Math.random();172              } else {173                id = attrs.id;174              }175              nv.addGraph( {176                generate: function () {177                  var chart = nv.models.legend().width( width ).height( height ).margin( margin ).align( attrs.align === undefined ? true : attrs.align === 'true' ).rightAlign( attrs.rightalign === undefined ? true : attrs.rightalign === 'true' ).updateState( attrs.updatestate === undefined ? true : attrs.updatestate === 'true' ).radioButtonMode( attrs.radiobuttonmode === undefined ? false : attrs.radiobuttonmode === 'true' ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).key( attrs.key === undefined ? function ( d ) {178                    return d.key;179                  } : scope.key() );180                  if ( !d3.select( '#' + attrs.id + ' svg' )[ 0 ][ 0 ] ) {181                    d3.select( '#' + attrs.id ).append( 'svg' );182                  }183                  d3.select( '#' + attrs.id + ' svg' ).attr( 'height', height ).attr( 'width', width ).datum( data ).transition().duration( 250 ).call( chart );184                  nv.utils.windowResize( chart.update );185                  scope.chart = chart;186                  return chart;187                }188              } );189            }190          } );191        }192      };193    }194  ] );195  function initializeLegendMargin( scope, attrs ) {196    var margin = ( scope.$eval( attrs.legendmargin ) || {197      left: 0,198      top: 5,199      bottom: 5,200      right: 0201    } );202    if ( typeof ( margin ) !== 'object' ) {203      // we were passed a vanilla int, convert to full margin object204      margin = {205        left: margin,206        top: margin,207        bottom: margin,208        right: margin209      };210    }211    scope.legendmargin = margin;212  }213  function configureLegend( chart, scope, attrs ) {214    if ( chart.legend && attrs.showlegend && ( attrs.showlegend === 'true' ) ) {215      initializeLegendMargin( scope, attrs );216      chart.legend.margin( scope.legendmargin );217      chart.legend.width( attrs.legendwidth === undefined ? 400 : ( +attrs.legendwidth ) );218      chart.legend.height( attrs.legendheight === undefined ? 20 : ( +attrs.legendheight ) );219      chart.legend.key( attrs.legendkey === undefined ? function ( d ) {220        return d.key;221      } : scope.legendkey() );222      chart.legend.color( attrs.legendcolor === undefined ? nv.utils.defaultColor() : scope.legendcolor() );223      chart.legend.align( attrs.legendalign === undefined ? true : ( attrs.legendalign === 'true' ) );224      chart.legend.rightAlign( attrs.legendrightalign === undefined ? true : ( attrs.legendrightalign === 'true' ) );225      chart.legend.updateState( attrs.legendupdatestate === undefined ? true : ( attrs.legendupdatestate === 'true' ) );226      chart.legend.radioButtonMode( attrs.legendradiobuttonmode === undefined ? false : ( attrs.legendradiobuttonmode === 'true' ) );227    }228  }229  function processEvents( chart, scope ) {230    if ( chart.dispatch ) {231      if ( chart.dispatch.tooltipShow ) {232        chart.dispatch.on( 'tooltipShow.directive', function ( event ) {233          scope.$emit( 'tooltipShow.directive', event );234        } );235      }236      if ( chart.dispatch.tooltipHide ) {237        chart.dispatch.on( 'tooltipHide.directive', function ( event ) {238          scope.$emit( 'tooltipHide.directive', event );239        } );240      }241      if ( chart.dispatch.beforeUpdate ) {242        chart.dispatch.on( 'beforeUpdate.directive', function ( event ) {243          scope.$emit( 'beforeUpdate.directive', event );244        } );245      }246      if ( chart.dispatch.stateChange ) {247        chart.dispatch.on( 'stateChange.directive', function ( event ) {248          scope.$emit( 'stateChange.directive', event );249        } );250      }251      if ( chart.dispatch.changeState ) {252        chart.dispatch.on( 'changeState.directive', function ( event ) {253          scope.$emit( 'changeState.directive', event );254        } );255      }256    }257    if ( chart.lines ) {258      chart.lines.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {259        scope.$emit( 'elementMouseover.tooltip.directive', event );260      } );261      chart.lines.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {262        scope.$emit( 'elementMouseout.tooltip.directive', event );263      } );264      chart.lines.dispatch.on( 'elementClick.directive', function ( event ) {265        scope.$emit( 'elementClick.directive', event );266      } );267    }268    if ( chart.stacked && chart.stacked.dispatch ) {269      chart.stacked.dispatch.on( 'areaClick.toggle.directive', function ( event ) {270        scope.$emit( 'areaClick.toggle.directive', event );271      } );272      chart.stacked.dispatch.on( 'tooltipShow.directive', function ( event ) {273        scope.$emit( 'tooltipShow.directive', event );274      } );275      chart.stacked.dispatch.on( 'tooltipHide.directive', function ( event ) {276        scope.$emit( 'tooltipHide.directive', event );277      } );278    }279    if ( chart.interactiveLayer ) {280      if ( chart.interactiveLayer.elementMouseout ) {281        chart.interactiveLayer.dispatch.on( 'elementMouseout.directive', function ( event ) {282          scope.$emit( 'elementMouseout.directive', event );283        } );284      }285      if ( chart.interactiveLayer.elementMousemove ) {286        chart.interactiveLayer.dispatch.on( 'elementMousemove.directive', function ( event ) {287          scope.$emit( 'elementMousemove.directive', event );288        } );289      }290    }291    if ( chart.discretebar ) {292      chart.discretebar.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {293        scope.$emit( 'elementMouseover.tooltip.directive', event );294      } );295      chart.discretebar.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {296        scope.$emit( 'elementMouseover.tooltip.directive', event );297      } );298      chart.discretebar.dispatch.on( 'elementClick.directive', function ( event ) {299        scope.$emit( 'elementClick.directive', event );300      } );301    }302    if ( chart.multibar ) {303      chart.multibar.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {304        scope.$emit( 'elementMouseover.tooltip.directive', event );305      } );306      chart.multibar.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {307        scope.$emit( 'elementMouseover.tooltip.directive', event );308      } );309      chart.multibar.dispatch.on( 'elementClick.directive', function ( event ) {310        scope.$emit( 'elementClick.directive', event );311      } );312    }313    if ( chart.pie ) {314      chart.pie.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {315        scope.$emit( 'elementMouseover.tooltip.directive', event );316      } );317      chart.pie.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {318        scope.$emit( 'elementMouseover.tooltip.directive', event );319      } );320      chart.pie.dispatch.on( 'elementClick.directive', function ( event ) {321        scope.$emit( 'elementClick.directive', event );322      } );323    }324    if ( chart.scatter ) {325      chart.scatter.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {326        scope.$emit( 'elementMouseover.tooltip.directive', event );327      } );328      chart.scatter.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {329        scope.$emit( 'elementMouseover.tooltip.directive', event );330      } );331    }332    if ( chart.bullet ) {333      chart.bullet.dispatch.on( 'elementMouseover.tooltip.directive', function ( event ) {334        scope.$emit( 'elementMouseover.tooltip.directive', event );335      } );336      chart.bullet.dispatch.on( 'elementMouseout.tooltip.directive', function ( event ) {337        scope.$emit( 'elementMouseover.tooltip.directive', event );338      } );339    }340    if ( chart.legend ) {341      //'legendClick', 'legendDblclick', 'legendMouseover'342      //stateChange343      chart.legend.dispatch.on( 'stateChange.legend.directive', function ( event ) {344        scope.$emit( 'stateChange.legend.directive', event );345      } );346      chart.legend.dispatch.on( 'legendClick.directive', function ( d, i ) {347        scope.$emit( 'legendClick.directive', d, i );348      } );349      chart.legend.dispatch.on( 'legendDblclick.directive', function ( d, i ) {350        scope.$emit( 'legendDblclick.directive', d, i );351      } );352      chart.legend.dispatch.on( 'legendMouseover.directive', function ( d, i ) {353        scope.$emit( 'legendMouseover.directive', d, i );354      } );355    }356    if ( chart.controls ) {357      if ( chart.controls.legendClick ) {358        chart.controls.dispatch.on( 'legendClick.directive', function ( d, i ) {359          scope.$emit( 'legendClick.directive', d, i );360        } );361      }362    }363  }364  function configureXaxis( chart, scope, attrs ) {365    if ( attrs.xaxisorient ) {366      chart.xAxis.orient( attrs.xaxisorient );367    }368    if ( attrs.xaxisticks ) {369      chart.xAxis.scale().ticks( attrs.xaxisticks );370    }371    if ( attrs.xaxistickvalues ) {372      if ( Array.isArray( scope.$eval( attrs.xaxistickvalues ) ) ) {373        chart.xAxis.tickValues( scope.$eval( attrs.xaxistickvalues ) );374      } else if ( typeof scope.xaxistickvalues() === 'function' ) {375        chart.xAxis.tickValues( scope.xaxistickvalues() );376      }377    }378    if ( attrs.xaxisticksubdivide ) {379      chart.xAxis.tickSubdivide( scope.xaxisticksubdivide() );380    }381    if ( attrs.xaxisticksize ) {382      chart.xAxis.tickSize( scope.xaxisticksize() );383    }384    if ( attrs.xaxistickpadding ) {385      chart.xAxis.tickPadding( scope.xaxistickpadding() );386    }387    if ( attrs.xaxistickformat ) {388      chart.xAxis.tickFormat( scope.xaxistickformat() );389    }390    if ( attrs.xaxislabel ) {391      chart.xAxis.axisLabel( attrs.xaxislabel );392    }393    if ( attrs.xaxisscale ) {394      chart.xAxis.scale( scope.xaxisscale() );395    }396    if ( attrs.xaxisdomain ) {397      if ( Array.isArray( scope.$eval( attrs.xaxisdomain ) ) ) {398        chart.xDomain( scope.$eval( attrs.xaxisdomain ) );399      } else if ( typeof scope.xaxisdomain() === 'function' ) {400        chart.xDomain( scope.xaxisdomain() );401      }402    }403    if ( attrs.xaxisrange ) {404      if ( Array.isArray( scope.$eval( attrs.xaxisrange ) ) ) {405        chart.xRange( scope.$eval( attrs.xaxisrange ) );406      } else if ( typeof scope.xaxisrange() === 'function' ) {407        chart.xRange( scope.xaxisrange() );408      }409    }410    if ( attrs.xaxisrangeband ) {411      chart.xAxis.rangeBand( scope.xaxisrangeband() );412    }413    if ( attrs.xaxisrangebands ) {414      chart.xAxis.rangeBands( scope.xaxisrangebands() );415    }416    if ( attrs.xaxisshowmaxmin ) {417      chart.xAxis.showMaxMin( ( attrs.xaxisshowmaxmin === 'true' ) );418    }419    if ( attrs.xaxishighlightzero ) {420      chart.xAxis.highlightZero( ( attrs.xaxishighlightzero === 'true' ) );421    }422    if ( attrs.xaxisrotatelabels ) {423      chart.xAxis.rotateLabels( ( +attrs.xaxisrotatelabels ) );424    }425    //    if(attrs.xaxisrotateylabel){426    //        chart.xAxis.rotateYLabel((attrs.xaxisrotateylabel === "true"));427    //    }428    if ( attrs.xaxisstaggerlabels ) {429      chart.xAxis.staggerLabels( ( attrs.xaxisstaggerlabels === 'true' ) );430    }431    if ( attrs.xaxislabeldistance ) {432      chart.xAxis.axisLabelDistance( ( +attrs.xaxislabeldistance ) );433    }434  }435  function configureX2axis( chart, scope, attrs ) {436    if ( attrs.x2axisorient ) {437      chart.x2Axis.orient( attrs.x2axisorient );438    }439    if ( attrs.x2axisticks ) {440      chart.x2Axis.scale().ticks( attrs.x2axisticks );441    }442    if ( attrs.x2axistickvalues ) {443      if ( Array.isArray( scope.$eval( attrs.x2axistickvalues ) ) ) {444        chart.x2Axis.tickValues( scope.$eval( attrs.x2axistickvalues ) );445      } else if ( typeof scope.xaxistickvalues() === 'function' ) {446        chart.x2Axis.tickValues( scope.x2axistickvalues() );447      }448    }449    if ( attrs.x2axisticksubdivide ) {450      chart.x2Axis.tickSubdivide( scope.x2axisticksubdivide() );451    }452    if ( attrs.x2axisticksize ) {453      chart.x2Axis.tickSize( scope.x2axisticksize() );454    }455    if ( attrs.x2axistickpadding ) {456      chart.x2Axis.tickPadding( scope.x2axistickpadding() );457    }458    if ( attrs.x2axistickformat ) {459      chart.x2Axis.tickFormat( scope.x2axistickformat() );460    }461    if ( attrs.x2axislabel ) {462      chart.x2Axis.axisLabel( attrs.x2axislabel );463    }464    if ( attrs.x2axisscale ) {465      chart.x2Axis.scale( scope.x2axisscale() );466    }467    if ( attrs.x2axisdomain ) {468      if ( Array.isArray( scope.$eval( attrs.x2axisdomain ) ) ) {469        chart.x2Axis.domain( scope.$eval( attrs.x2axisdomain ) );470      } else if ( typeof scope.x2axisdomain() === 'function' ) {471        chart.x2Axis.domain( scope.x2axisdomain() );472      }473    }474    if ( attrs.x2axisrange ) {475      if ( Array.isArray( scope.$eval( attrs.x2axisrange ) ) ) {476        chart.x2Axis.range( scope.$eval( attrs.x2axisrange ) );477      } else if ( typeof scope.x2axisrange() === 'function' ) {478        chart.x2Axis.range( scope.x2axisrange() );479      }480    }481    if ( attrs.x2axisrangeband ) {482      chart.x2Axis.rangeBand( scope.x2axisrangeband() );483    }484    if ( attrs.x2axisrangebands ) {485      chart.x2Axis.rangeBands( scope.x2axisrangebands() );486    }487    if ( attrs.x2axisshowmaxmin ) {488      chart.x2Axis.showMaxMin( ( attrs.x2axisshowmaxmin === 'true' ) );489    }490    if ( attrs.x2axishighlightzero ) {491      chart.x2Axis.highlightZero( ( attrs.x2axishighlightzero === 'true' ) );492    }493    if ( attrs.x2axisrotatelables ) {494      chart.x2Axis.rotateLabels( ( +attrs.x2axisrotatelables ) );495    }496    //    if(attrs.xaxisrotateylabel){497    //        chart.xAxis.rotateYLabel((attrs.xaxisrotateylabel === "true"));498    //    }499    if ( attrs.x2axisstaggerlabels ) {500      chart.x2Axis.staggerLabels( ( attrs.x2axisstaggerlabels === 'true' ) );501    }502    if ( attrs.x2axislabeldistance ) {503      chart.x2Axis.axisLabelDistance( ( +attrs.x2axislabeldistance ) );504    }505  }506  function configureYaxis( chart, scope, attrs ) {507    if ( attrs.yaxisorient ) {508      chart.yAxis.orient( attrs.yaxisorient );509    }510    if ( attrs.yaxisticks ) {511      chart.yAxis.scale().ticks( attrs.yaxisticks );512    }513    if ( attrs.yaxistickvalues ) {514      if ( Array.isArray( scope.$eval( attrs.yaxistickvalues ) ) ) {515        chart.yAxis.tickValues( scope.$eval( attrs.yaxistickvalues ) );516      } else if ( typeof scope.yaxistickvalues() === 'function' ) {517        chart.yAxis.tickValues( scope.yaxistickvalues() );518      }519    }520    if ( attrs.yaxisticksubdivide ) {521      chart.yAxis.tickSubdivide( scope.yaxisticksubdivide() );522    }523    if ( attrs.yaxisticksize ) {524      chart.yAxis.tickSize( scope.yaxisticksize() );525    }526    if ( attrs.yaxistickpadding ) {527      chart.yAxis.tickPadding( scope.yaxistickpadding() );528    }529    if ( attrs.yaxistickformat ) {530      chart.yAxis.tickFormat( scope.yaxistickformat() );531    }532    if ( attrs.yaxislabel ) {533      chart.yAxis.axisLabel( attrs.yaxislabel );534    }535    if ( attrs.yaxisscale ) {536      chart.yAxis.scale( scope.yaxisscale() );537    }538    if ( attrs.yaxisdomain ) {539      if ( Array.isArray( scope.$eval( attrs.yaxisdomain ) ) ) {540        chart.yDomain( scope.$eval( attrs.yaxisdomain ) );541      } else if ( typeof scope.yaxisdomain() === 'function' ) {542        chart.yDomain( scope.yaxisdomain() );543      }544    }545    if ( attrs.yaxisrange ) {546      if ( Array.isArray( scope.$eval( attrs.yaxisrange ) ) ) {547        chart.yRange( scope.$eval( attrs.yaxisrange ) );548      } else if ( typeof scope.yaxisrange() === 'function' ) {549        chart.yRange( scope.yaxisrange() );550      }551    }552    if ( attrs.yaxisrangeband ) {553      chart.yAxis.rangeBand( scope.yaxisrangeband() );554    }555    if ( attrs.yaxisrangebands ) {556      chart.yAxis.rangeBands( scope.yaxisrangebands() );557    }558    if ( attrs.yaxisshowmaxmin ) {559      chart.yAxis.showMaxMin( ( attrs.yaxisshowmaxmin === 'true' ) );560    }561    if ( attrs.yaxishighlightzero ) {562      chart.yAxis.highlightZero( ( attrs.yaxishighlightzero === 'true' ) );563    }564    if ( attrs.yaxisrotatelabels ) {565      chart.yAxis.rotateLabels( ( +attrs.yaxisrotatelabels ) );566    }567    if ( attrs.yaxisrotateylabel ) {568      chart.yAxis.rotateYLabel( ( attrs.yaxisrotateylabel === 'true' ) );569    }570    if ( attrs.yaxisstaggerlabels ) {571      chart.yAxis.staggerLabels( ( attrs.yaxisstaggerlabels === 'true' ) );572    }573    if ( attrs.yaxislabeldistance ) {574      chart.yAxis.axisLabelDistance( ( +attrs.yaxislabeldistance ) );575    }576  }577  function configureY1axis( chart, scope, attrs ) {578    if ( attrs.y1axisticks ) {579      chart.y1Axis.scale().ticks( attrs.y1axisticks );580    }581    if ( attrs.y1axistickvalues ) {582      if ( Array.isArray( scope.$eval( attrs.y1axistickvalues ) ) ) {583        chart.y1Axis.tickValues( scope.$eval( attrs.y1axistickvalues ) );584      } else if ( typeof scope.y1axistickvalues() === 'function' ) {585        chart.y1Axis.tickValues( scope.y1axistickvalues() );586      }587    }588    if ( attrs.y1axisticksubdivide ) {589      chart.y1Axis.tickSubdivide( scope.y1axisticksubdivide() );590    }591    if ( attrs.y1axisticksize ) {592      chart.y1Axis.tickSize( scope.y1axisticksize() );593    }594    if ( attrs.y1axistickpadding ) {595      chart.y1Axis.tickPadding( scope.y1axistickpadding() );596    }597    if ( attrs.y1axistickformat ) {598      chart.y1Axis.tickFormat( scope.y1axistickformat() );599    }600    if ( attrs.y1axislabel ) {601      chart.y1Axis.axisLabel( attrs.y1axislabel );602    }603    if ( attrs.y1axisscale ) {604      chart.y1Axis.yScale( scope.y1axisscale() );605    }606    if ( attrs.y1axisdomain ) {607      if ( Array.isArray( scope.$eval( attrs.y1axisdomain ) ) ) {608        chart.y1Axis.domain( scope.$eval( attrs.y1axisdomain ) );609      } else if ( typeof scope.y1axisdomain() === 'function' ) {610        chart.y1Axis.domain( scope.y1axisdomain() );611      }612    }613    if ( attrs.y1axisrange ) {614      if ( Array.isArray( scope.$eval( attrs.y1axisrange ) ) ) {615        chart.y1Axis.range( scope.$eval( attrs.y1axisrange ) );616      } else if ( typeof scope.y1axisrange() === 'function' ) {617        chart.y1Axis.range( scope.y1axisrange() );618      }619    }620    if ( attrs.y1axisrangeband ) {621      chart.y1Axis.rangeBand( scope.y1axisrangeband() );622    }623    if ( attrs.y1axisrangebands ) {624      chart.y1Axis.rangeBands( scope.y1axisrangebands() );625    }626    if ( attrs.y1axisshowmaxmin ) {627      chart.y1Axis.showMaxMin( ( attrs.y1axisshowmaxmin === 'true' ) );628    }629    if ( attrs.y1axishighlightzero ) {630      chart.y1Axis.highlightZero( ( attrs.y1axishighlightzero === 'true' ) );631    }632    if ( attrs.y1axisrotatelabels ) {633      chart.y1Axis.rotateLabels( ( +scope.y1axisrotatelabels ) );634    }635    if ( attrs.y1axisrotateylabel ) {636      chart.y1Axis.rotateYLabel( ( attrs.y1axisrotateylabel === 'true' ) );637    }638    if ( attrs.y1axisstaggerlabels ) {639      chart.y1Axis.staggerlabels( ( attrs.y1axisstaggerlabels === 'true' ) );640    }641    if ( attrs.y1axislabeldistance ) {642      chart.y1Axis.axisLabelDistance( ( +attrs.y1axislabeldistance ) );643    }644  }645  function configureY2axis( chart, scope, attrs ) {646    if ( attrs.y2axisticks ) {647      chart.y2Axis.scale().ticks( attrs.y2axisticks );648    }649    if ( attrs.y2axistickvalues ) {650      chart.y2Axis.tickValues( scope.$eval( attrs.y2axistickvalues ) );651    }652    if ( attrs.y2axisticksubdivide ) {653      chart.y2Axis.tickSubdivide( scope.y2axisticksubdivide() );654    }655    if ( attrs.y2axisticksize ) {656      chart.y2Axis.tickSize( scope.y2axisticksize() );657    }658    if ( attrs.y2axistickpadding ) {659      chart.y2Axis.tickPadding( scope.y2axistickpadding() );660    }661    if ( attrs.y2axistickformat ) {662      chart.y2Axis.tickFormat( scope.y2axistickformat() );663    }664    if ( attrs.y2axislabel ) {665      chart.y2Axis.axisLabel( attrs.y2axislabel );666    }667    if ( attrs.y2axisscale ) {668      chart.y2Axis.yScale( scope.y2axisscale() );669    }670    if ( attrs.y2axisdomain ) {671      if ( Array.isArray( scope.$eval( attrs.y2axisdomain ) ) ) {672        chart.y2Axis.domain( scope.$eval( attrs.y2axisdomain ) );673      } else if ( typeof scope.y2axisdomain() === 'function' ) {674        chart.y2Axis.domain( scope.y2axisdomain() );675      }676    }677    if ( attrs.y2axisrange ) {678      if ( Array.isArray( scope.$eval( attrs.y2axisrange ) ) ) {679        chart.y2Axis.range( scope.$eval( attrs.y2axisrange ) );680      } else if ( typeof scope.y2axisrange() === 'function' ) {681        chart.y2Axis.range( scope.y2axisrange() );682      }683    }684    if ( attrs.y2axisrangeband ) {685      chart.y2Axis.rangeBand( scope.y2axisrangeband() );686    }687    if ( attrs.y2axisrangebands ) {688      chart.y2Axis.rangeBands( scope.y2axisrangebands() );689    }690    if ( attrs.y2axisshowmaxmin ) {691      chart.y2Axis.showMaxMin( ( attrs.y2axisshowmaxmin === 'true' ) );692    }693    if ( attrs.y2axishighlightzero ) {694      chart.y2Axis.highlightZero( ( attrs.y2axishighlightzero === 'true' ) );695    }696    if ( attrs.y2axisrotatelabels ) {697      chart.y2Axis.rotateLabels( ( +scope.y2axisrotatelabels ) );698    }699    if ( attrs.y2axisrotateylabel ) {700      chart.y2Axis.rotateYLabel( ( attrs.y2axisrotateylabel === 'true' ) );701    }702    if ( attrs.y2axisstaggerlabels ) {703      chart.y2Axis.staggerlabels( ( attrs.y2axisstaggerlabels === 'true' ) );704    }705    if ( attrs.y2axislabeldistance ) {706      chart.y2Axis.axisLabelDistance( ( +attrs.y2axislabeldistance ) );707    }708  }709  function initializeMargin( scope, attrs ) {710    var margin = scope.$eval( attrs.margin ) || {711      left: 50,712      top: 50,713      bottom: 50,714      right: 50715    };716    if ( typeof margin !== 'object' ) {717      // we were passed a vanilla int, convert to full margin object718      margin = {719        left: margin,720        top: margin,721        bottom: margin,722        right: margin723      };724    }725    scope.margin = margin;726  }727  function checkElementID( scope, attrs, element, chart, data ) {728    configureXaxis( chart, scope, attrs );729    configureX2axis( chart, scope, attrs );730    configureYaxis( chart, scope, attrs );731    configureY1axis( chart, scope, attrs );732    configureY2axis( chart, scope, attrs );733    configureLegend( chart, scope, attrs );734    processEvents( chart, scope );735    var dataAttributeChartID;736    //randomly generated if id attribute doesn't exist737    if ( !attrs.id ) {738      dataAttributeChartID = 'chartid' + Math.floor( Math.random() * 1000000001 );739      angular.element( element ).attr( 'data-chartid', dataAttributeChartID );740      //if an id is not supplied, create a random id.741      if ( d3.select( '[data-chartid=' + dataAttributeChartID + '] svg' ).empty() ) {742        d3.select( '[data-chartid=' + dataAttributeChartID + ']' ).append( 'svg' ).attr( 'height', scope.height ).attr( 'width', scope.width ).datum( data ).transition().duration( attrs.transitionduration === undefined ? 250 : +attrs.transitionduration ).call( chart );743      } else {744        d3.select( '[data-chartid=' + dataAttributeChartID + '] svg' ).attr( 'height', scope.height ).attr( 'width', scope.width ).datum( data ).transition().duration( attrs.transitionduration === undefined ? 250 : +attrs.transitionduration ).call( chart );745      }746    } else {747      if ( angular.isArray( data ) && data.length === 0 ) {748        d3.select( '#' + attrs.id + ' svg' ).remove();749      }750      if ( d3.select( '#' + attrs.id + ' svg' ).empty() ) {751        d3.select( '#' + attrs.id ).append( 'svg' );752      }753      d3.select( '#' + attrs.id + ' svg' ).attr( 'height', scope.height ).attr( 'width', scope.width ).datum( data ).transition().duration( attrs.transitionduration === undefined ? 250 : +attrs.transitionduration ).call( chart );754    }755  }756  angular.module( 'nvd3ChartDirectives', [] ).directive( 'nvd3LineChart', [757    function () {758      return {759        restrict: 'EA',760        scope: {761          data: '=',762          width: '@',763          height: '@',764          id: '@',765          showlegend: '@',766          tooltips: '@',767          showxaxis: '@',768          showyaxis: '@',769          rightalignyaxis: '@',770          defaultstate: '@',771          nodata: '@',772          margin: '&',773          tooltipcontent: '&',774          color: '&',775          x: '&',776          y: '&',777          forcex: '@',778          forcey: '@',779          isArea: '@',780          interactive: '@',781          clipedge: '@',782          clipvoronoi: '@',783          interpolate: '@',784          callback: '&',785          useinteractiveguideline: '@',786          xaxisorient: '&',787          xaxisticks: '@',788          xaxistickvalues: '&xaxistickvalues',789          xaxisticksubdivide: '&',790          xaxisticksize: '&',791          xaxistickpadding: '&',792          xaxistickformat: '&',793          xaxislabel: '@',794          xaxisscale: '&',795          xaxisdomain: '&',796          xaxisrange: '&',797          xaxisrangeband: '&',798          xaxisrangebands: '&',799          xaxisshowmaxmin: '@',800          xaxishighlightzero: '@',801          xaxisrotatelabels: '@',802          xaxisrotateylabel: '@',803          xaxisstaggerlabels: '@',804          xaxislabeldistance: '@',805          yaxisorient: '&',806          yaxisticks: '&',807          yaxistickvalues: '&yaxistickvalues',808          yaxisticksubdivide: '&',809          yaxisticksize: '&',810          yaxistickpadding: '&',811          yaxistickformat: '&',812          yaxislabel: '@',813          yaxisscale: '&',814          yaxisdomain: '&',815          yaxisrange: '&',816          yaxisrangeband: '&',817          yaxisrangebands: '&',818          yaxisshowmaxmin: '@',819          yaxishighlightzero: '@',820          yaxisrotatelabels: '@',821          yaxisrotateylabel: '@',822          yaxisstaggerlabels: '@',823          yaxislabeldistance: '@',824          legendmargin: '&',825          legendwidth: '@',826          legendheight: '@',827          legendkey: '@',828          legendcolor: '&',829          legendalign: '@',830          legendrightalign: '@',831          legendupdatestate: '@',832          legendradiobuttonmode: '@',833          objectequality: '@',834          transitionduration: '@'835        },836        controller: [837          '$scope',838          '$element',839          '$attrs',840          function ( $scope, $element, $attrs ) {841            $scope.d3Call = function ( data, chart ) {842              checkElementID( $scope, $attrs, $element, chart, data );843            };844          }845        ],846        link: function ( scope, element, attrs ) {847          scope.$watch( 'data', function ( data ) {848            if ( data ) {849              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.850              if ( scope.chart ) {851                return scope.d3Call( data, scope.chart );852              }853              nv.addGraph( {854                generate: function () {855                  initializeMargin( scope, attrs );856                  var chart = nv.models.lineChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {857                    return d[ 0 ];858                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {859                    return d[ 1 ];860                  } : scope.y() ).forceX( attrs.forcex === undefined ? [] : scope.$eval( attrs.forcex ) ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).rightAlignYAxis( attrs.rightalignyaxis === undefined ? false : attrs.rightalignyaxis === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).clipEdge( attrs.clipedge === undefined ? false : attrs.clipedge === 'true' ).clipVoronoi( attrs.clipvoronoi === undefined ? false : attrs.clipvoronoi === 'true' ).interpolate( attrs.interpolate === undefined ? 'linear' : attrs.interpolate ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).isArea( attrs.isarea === undefined ? function ( d ) {861                    return d.area;862                  } : function () {863                    return attrs.isarea === 'true';864                  } );865                  if ( chart.useInteractiveGuideline ) {866                    chart.useInteractiveGuideline( attrs.useinteractiveguideline === undefined ? false : attrs.useinteractiveguideline === 'true' );867                  }868                  if ( attrs.tooltipcontent ) {869                    chart.tooltipContent( scope.tooltipcontent() );870                  }871                  scope.d3Call( data, chart );872                  nv.utils.windowResize( chart.update );873                  scope.chart = chart;874                  return chart;875                },876                callback: attrs.callback === undefined ? null : scope.callback()877              } );878            }879          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );880        }881      };882    }883  ] ).directive( 'nvd3CumulativeLineChart', [884    function () {885      return {886        restrict: 'EA',887        scope: {888          data: '=',889          width: '@',890          height: '@',891          id: '@',892          showlegend: '@',893          tooltips: '@',894          showxaxis: '@',895          showyaxis: '@',896          rightalignyaxis: '@',897          defaultstate: '@',898          nodata: '@',899          margin: '&',900          tooltipcontent: '&',901          color: '&',902          x: '&',903          y: '&',904          forcex: '@',905          forcey: '@',906          isArea: '@',907          interactive: '@',908          clipedge: '@',909          clipvoronoi: '@',910          usevoronoi: '@',911          average: '&',912          rescaley: '@',913          callback: '&',914          useinteractiveguideline: '@',915          xaxisorient: '&',916          xaxisticks: '&',917          xaxistickvalues: '&xaxistickvalues',918          xaxisticksubdivide: '&',919          xaxisticksize: '&',920          xaxistickpadding: '&',921          xaxistickformat: '&',922          xaxislabel: '@',923          xaxisscale: '&',924          xaxisdomain: '&',925          xaxisrange: '&',926          xaxisrangeband: '&',927          xaxisrangebands: '&',928          xaxisshowmaxmin: '@',929          xaxishighlightzero: '@',930          xaxisrotatelabels: '@',931          xaxisrotateylabel: '@',932          xaxisstaggerlabels: '@',933          xaxislabeldistance: '@',934          yaxisorient: '&',935          yaxisticks: '&',936          yaxistickvalues: '&yaxistickvalues',937          yaxisticksubdivide: '&',938          yaxisticksize: '&',939          yaxistickpadding: '&',940          yaxistickformat: '&',941          yaxislabel: '@',942          yaxisscale: '&',943          yaxisdomain: '&',944          yaxisrange: '&',945          yaxisrangeband: '&',946          yaxisrangebands: '&',947          yaxisshowmaxmin: '@',948          yaxishighlightzero: '@',949          yaxisrotatelabels: '@',950          yaxisrotateylabel: '@',951          yaxisstaggerlabels: '@',952          yaxislabeldistance: '@',953          legendmargin: '&',954          legendwidth: '@',955          legendheight: '@',956          legendkey: '@',957          legendcolor: '&',958          legendalign: '@',959          legendrightalign: '@',960          legendupdatestate: '@',961          legendradiobuttonmode: '@',962          objectequality: '@',963          transitionduration: '@'964        },965        controller: [966          '$scope',967          '$element',968          '$attrs',969          function ( $scope, $element, $attrs ) {970            $scope.d3Call = function ( data, chart ) {971              checkElementID( $scope, $attrs, $element, chart, data );972            };973          }974        ],975        link: function ( scope, element, attrs ) {976          scope.$watch( 'data', function ( data ) {977            if ( data ) {978              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.979              if ( scope.chart ) {980                return scope.d3Call( data, scope.chart );981              }982              nv.addGraph( {983                generate: function () {984                  initializeMargin( scope, attrs );985                  var chart = nv.models.cumulativeLineChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {986                    return d[ 0 ];987                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {988                    return d[ 1 ];989                  } : scope.y() ).forceX( attrs.forcex === undefined ? [] : scope.$eval( attrs.forcex ) ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).rightAlignYAxis( attrs.rightalignyaxis === undefined ? false : attrs.rightalignyaxis === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).clipEdge( attrs.clipedge === undefined ? false : attrs.clipedge === 'true' ).clipVoronoi( attrs.clipvoronoi === undefined ? false : attrs.clipvoronoi === 'true' ).useVoronoi( attrs.usevoronoi === undefined ? false : attrs.usevoronoi === 'true' ).average( attrs.average === undefined ? function ( d ) {990                    return d.average;991                  } : scope.average() ).color( attrs.color === undefined ? d3.scale.category10().range() : scope.color() ).isArea( attrs.isarea === undefined ? function ( d ) {992                    return d.area;993                  } : attrs.isarea === 'true' );994                  //.rescaleY(attrs.rescaley === undefined ? false : (attrs.rescaley === 'true'));995                  if ( chart.useInteractiveGuideline ) {996                    chart.useInteractiveGuideline( attrs.useinteractiveguideline === undefined ? false : attrs.useinteractiveguideline === 'true' );997                  }998                  if ( attrs.tooltipcontent ) {999                    chart.tooltipContent( scope.tooltipcontent() );1000                  }1001                  scope.d3Call( data, chart );1002                  nv.utils.windowResize( chart.update );1003                  scope.chart = chart;1004                  return chart;1005                },1006                callback: attrs.callback === undefined ? null : scope.callback()1007              } );1008            }1009          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1010        }1011      };1012    }1013  ] ).directive( 'nvd3StackedAreaChart', [1014    function () {1015      return {1016        restrict: 'EA',1017        scope: {1018          data: '=',1019          width: '@',1020          height: '@',1021          id: '@',1022          showlegend: '@',1023          tooltips: '@',1024          showcontrols: '@',1025          nodata: '@',1026          margin: '&',1027          tooltipcontent: '&',1028          color: '&',1029          x: '&',1030          y: '&',1031          forcex: '@',1032          forcey: '@',1033          forcesize: '@',1034          interactive: '@',1035          usevoronoi: '@',1036          clipedge: '@',1037          interpolate: '@',1038          style: '@',1039          order: '@',1040          offset: '@',1041          size: '&',1042          xScale: '&',1043          yScale: '&',1044          xDomain: '&',1045          yDomain: '&',1046          xRange: '&',1047          yRange: '&',1048          sizeDomain: '&',1049          callback: '&',1050          showxaxis: '&',1051          xaxisorient: '&',1052          xaxisticks: '&',1053          xaxistickvalues: '&xaxistickvalues',1054          xaxisticksubdivide: '&',1055          xaxisticksize: '&',1056          xaxistickpadding: '&',1057          xaxistickformat: '&',1058          xaxislabel: '@',1059          xaxisscale: '&',1060          xaxisdomain: '&',1061          xaxisrange: '&',1062          xaxisrangeband: '&',1063          xaxisrangebands: '&',1064          xaxisshowmaxmin: '@',1065          xaxishighlightzero: '@',1066          xaxisrotatelabels: '@',1067          xaxisrotateylabel: '@',1068          xaxisstaggerlabels: '@',1069          xaxisaxislabeldistance: '@',1070          showyaxis: '&',1071          useinteractiveguideline: '@',1072          yaxisorient: '&',1073          yaxisticks: '&',1074          yaxistickvalues: '&yaxistickvalues',1075          yaxisticksubdivide: '&',1076          yaxisticksize: '&',1077          yaxistickpadding: '&',1078          yaxistickformat: '&',1079          yaxislabel: '@',1080          yaxisscale: '&',1081          yaxisdomain: '&',1082          yaxisrange: '&',1083          yaxisrangeband: '&',1084          yaxisrangebands: '&',1085          yaxisshowmaxmin: '@',1086          yaxishighlightzero: '@',1087          yaxisrotatelabels: '@',1088          yaxisrotateylabel: '@',1089          yaxisstaggerlabels: '@',1090          yaxislabeldistance: '@',1091          legendmargin: '&',1092          legendwidth: '@',1093          legendheight: '@',1094          legendkey: '@',1095          legendcolor: '&',1096          legendalign: '@',1097          legendrightalign: '@',1098          legendupdatestate: '@',1099          legendradiobuttonmode: '@',1100          objectequality: '@',1101          transitionduration: '@'1102        },1103        controller: [1104          '$scope',1105          '$element',1106          '$attrs',1107          function ( $scope, $element, $attrs ) {1108            $scope.d3Call = function ( data, chart ) {1109              checkElementID( $scope, $attrs, $element, chart, data );1110            };1111          }1112        ],1113        link: function ( scope, element, attrs ) {1114          scope.$watch( 'data', function ( data ) {1115            if ( data ) {1116              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1117              if ( scope.chart ) {1118                return scope.d3Call( data, scope.chart );1119              }1120              nv.addGraph( {1121                generate: function () {1122                  initializeMargin( scope, attrs );1123                  var chart = nv.models.stackedAreaChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1124                    return d[ 0 ];1125                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1126                    return d[ 1 ];1127                  } : scope.y() ).forceX( attrs.forcex === undefined ? [] : scope.$eval( attrs.forcex ) ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).size( attrs.size === undefined ? function ( d ) {1128                    return d.size === undefined ? 1 : d.size;1129                  } : scope.size() ).forceSize( attrs.forcesize === undefined ? [] : scope.$eval( attrs.forcesize ) ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).showControls( attrs.showcontrols === undefined ? false : attrs.showcontrols === 'true' ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).clipEdge( attrs.clipedge === undefined ? false : attrs.clipedge === 'true' ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() );1130                  if ( chart.useInteractiveGuideline ) {1131                    chart.useInteractiveGuideline( attrs.useinteractiveguideline === undefined ? false : attrs.useinteractiveguideline === 'true' );1132                  }1133                  if ( attrs.usevoronoi ) {1134                    chart.useVoronoi( attrs.usevoronoi === 'true' );1135                  }1136                  if ( attrs.style ) {1137                    chart.style( attrs.style );1138                  }1139                  if ( attrs.order ) {1140                    chart.order( attrs.order );1141                  }1142                  if ( attrs.offset ) {1143                    chart.offset( attrs.offset );1144                  }1145                  if ( attrs.interpolate ) {1146                    chart.interpolate( attrs.interpolate );1147                  }1148                  if ( attrs.tooltipcontent ) {1149                    chart.tooltipContent( scope.tooltipcontent() );1150                  }1151                  if ( attrs.xscale ) {1152                    chart.xScale( scope.xscale() );1153                  }1154                  if ( attrs.yscale ) {1155                    chart.yScale( scope.yscale() );1156                  }1157                  if ( attrs.xdomain ) {1158                    if ( Array.isArray( scope.$eval( attrs.xdomain ) ) ) {1159                      chart.xDomain( scope.$eval( attrs.xdomain ) );1160                    } else if ( typeof scope.xdomain() === 'function' ) {1161                      chart.xDomain( scope.xdomain() );1162                    }1163                  }1164                  if ( attrs.ydomain ) {1165                    if ( Array.isArray( scope.$eval( attrs.ydomain ) ) ) {1166                      chart.yDomain( scope.$eval( attrs.ydomain ) );1167                    } else if ( typeof scope.ydomain() === 'function' ) {1168                      chart.yDomain( scope.ydomain() );1169                    }1170                  }1171                  if ( attrs.sizedomain ) {1172                    chart.sizeDomain( scope.sizedomain() );1173                  }1174                  scope.d3Call( data, chart );1175                  nv.utils.windowResize( chart.update );1176                  scope.chart = chart;1177                  return chart;1178                },1179                callback: attrs.callback === undefined ? null : scope.callback()1180              } );1181            }1182          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1183        }1184      };1185    }1186  ] ).directive( 'nvd3MultiBarChart', [1187    function () {1188      return {1189        restrict: 'EA',1190        scope: {1191          data: '=',1192          width: '@',1193          height: '@',1194          id: '@',1195          showlegend: '@',1196          tooltips: '@',1197          tooltipcontent: '&',1198          color: '&',1199          showcontrols: '@',1200          nodata: '@',1201          reducexticks: '@',1202          staggerlabels: '@',1203          rotatelabels: '@',1204          margin: '&',1205          x: '&',1206          y: '&',1207          forcey: '@',1208          delay: '@',1209          stacked: '@',1210          callback: '&',1211          showxaxis: '&',1212          xaxisorient: '&',1213          xaxisticks: '&',1214          xaxistickvalues: '&xaxistickvalues',1215          xaxisticksubdivide: '&',1216          xaxisticksize: '&',1217          xaxistickpadding: '&',1218          xaxistickformat: '&',1219          xaxislabel: '@',1220          xaxisscale: '&',1221          xaxisdomain: '&',1222          xaxisrange: '&',1223          xaxisrangeband: '&',1224          xaxisrangebands: '&',1225          xaxisshowmaxmin: '@',1226          xaxishighlightzero: '@',1227          xaxisrotatelabels: '@',1228          xaxisrotateylabel: '@',1229          xaxisstaggerlabels: '@',1230          xaxisaxislabeldistance: '@',1231          showyaxis: '&',1232          yaxisorient: '&',1233          yaxisticks: '&',1234          yaxistickvalues: '&yaxistickvalues',1235          yaxisticksubdivide: '&',1236          yaxisticksize: '&',1237          yaxistickpadding: '&',1238          yaxistickformat: '&',1239          yaxislabel: '@',1240          yaxisscale: '&',1241          yaxisdomain: '&',1242          yaxisrange: '&',1243          yaxisrangeband: '&',1244          yaxisrangebands: '&',1245          yaxisshowmaxmin: '@',1246          yaxishighlightzero: '@',1247          yaxisrotatelabels: '@',1248          yaxisrotateylabel: '@',1249          yaxisstaggerlabels: '@',1250          yaxislabeldistance: '@',1251          legendmargin: '&',1252          legendwidth: '@',1253          legendheight: '@',1254          legendkey: '@',1255          legendcolor: '&',1256          legendalign: '@',1257          legendrightalign: '@',1258          legendupdatestate: '@',1259          legendradiobuttonmode: '@',1260          objectequality: '@',1261          transitionduration: '@'1262        },1263        controller: [1264          '$scope',1265          '$element',1266          '$attrs',1267          function ( $scope, $element, $attrs ) {1268            $scope.d3Call = function ( data, chart ) {1269              checkElementID( $scope, $attrs, $element, chart, data );1270            };1271          }1272        ],1273        link: function ( scope, element, attrs ) {1274          scope.$watch( 'data', function ( data ) {1275            if ( data ) {1276              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1277              if ( scope.chart ) {1278                return scope.d3Call( data, scope.chart );1279              }1280              nv.addGraph( {1281                generate: function () {1282                  initializeMargin( scope, attrs );1283                  var chart = nv.models.multiBarChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1284                    return d[ 0 ];1285                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1286                    return d[ 1 ];1287                  } : scope.y() ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).showControls( attrs.showcontrols === undefined ? false : attrs.showcontrols === 'true' ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).reduceXTicks( attrs.reducexticks === undefined ? false : attrs.reducexticks === 'true' ).staggerLabels( attrs.staggerlabels === undefined ? false : attrs.staggerlabels === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).rotateLabels( attrs.rotatelabels === undefined ? 0 : attrs.rotatelabels ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).delay( attrs.delay === undefined ? 1200 : attrs.delay ).stacked( attrs.stacked === undefined ? false : attrs.stacked === 'true' );1288                  if ( attrs.tooltipcontent ) {1289                    chart.tooltipContent( scope.tooltipcontent() );1290                  }1291                  scope.d3Call( data, chart );1292                  nv.utils.windowResize( chart.update );1293                  scope.chart = chart;1294                  return chart;1295                },1296                callback: attrs.callback === undefined ? null : scope.callback()1297              } );1298            }1299          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1300        }1301      };1302    }1303  ] ).directive( 'nvd3DiscreteBarChart', [1304    function () {1305      return {1306        restrict: 'EA',1307        scope: {1308          data: '=',1309          width: '@',1310          height: '@',1311          id: '@',1312          tooltips: '@',1313          showxaxis: '@',1314          showyaxis: '@',1315          tooltipcontent: '&',1316          staggerlabels: '@',1317          color: '&',1318          margin: '&',1319          nodata: '@',1320          x: '&',1321          y: '&',1322          forcey: '@',1323          showvalues: '@',1324          valueformat: '&',1325          callback: '&',1326          xaxisorient: '&',1327          xaxisticks: '&',1328          xaxistickvalues: '&xaxistickvalues',1329          xaxisticksubdivide: '&',1330          xaxisticksize: '&',1331          xaxistickpadding: '&',1332          xaxistickformat: '&',1333          xaxislabel: '@',1334          xaxisscale: '&',1335          xaxisdomain: '&',1336          xaxisrange: '&',1337          xaxisrangeband: '&',1338          xaxisrangebands: '&',1339          xaxisshowmaxmin: '@',1340          xaxishighlightzero: '@',1341          xaxisrotatelabels: '@',1342          xaxisrotateylabel: '@',1343          xaxisstaggerlabels: '@',1344          xaxisaxislabeldistance: '@',1345          yaxisorient: '&',1346          yaxisticks: '&',1347          yaxistickvalues: '&yaxistickvalues',1348          yaxisticksubdivide: '&',1349          yaxisticksize: '&',1350          yaxistickpadding: '&',1351          yaxistickformat: '&',1352          yaxislabel: '@',1353          yaxisscale: '&',1354          yaxisdomain: '&',1355          yaxisrange: '&',1356          yaxisrangeband: '&',1357          yaxisrangebands: '&',1358          yaxisshowmaxmin: '@',1359          yaxishighlightzero: '@',1360          yaxisrotatelabels: '@',1361          yaxisrotateylabel: '@',1362          yaxisstaggerlabels: '@',1363          yaxislabeldistance: '@',1364          legendmargin: '&',1365          legendwidth: '@',1366          legendheight: '@',1367          legendkey: '@',1368          legendcolor: '&',1369          legendalign: '@',1370          legendrightalign: '@',1371          legendupdatestate: '@',1372          legendradiobuttonmode: '@',1373          objectequality: '@',1374          transitionduration: '@'1375        },1376        controller: [1377          '$scope',1378          '$element',1379          '$attrs',1380          function ( $scope, $element, $attrs ) {1381            $scope.d3Call = function ( data, chart ) {1382              checkElementID( $scope, $attrs, $element, chart, data );1383            };1384          }1385        ],1386        link: function ( scope, element, attrs ) {1387          scope.$watch( 'data', function ( data ) {1388            if ( data ) {1389              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1390              if ( scope.chart ) {1391                return scope.d3Call( data, scope.chart );1392              }1393              nv.addGraph( {1394                generate: function () {1395                  initializeMargin( scope, attrs );1396                  var chart = nv.models.discreteBarChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1397                    return d[ 0 ];1398                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1399                    return d[ 1 ];1400                  } : scope.y() ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).showValues( attrs.showvalues === undefined ? false : attrs.showvalues === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).staggerLabels( attrs.staggerlabels === undefined ? false : attrs.staggerlabels === 'true' ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() );1401                  if ( attrs.tooltipcontent ) {1402                    chart.tooltipContent( scope.tooltipcontent() );1403                  }1404                  if ( attrs.valueformat ) {1405                    chart.valueFormat( scope.valueformat() );1406                  }1407                  scope.d3Call( data, chart );1408                  nv.utils.windowResize( chart.update );1409                  scope.chart = chart;1410                  return chart;1411                },1412                callback: attrs.callback === undefined ? null : scope.callback()1413              } );1414            }1415          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1416        }1417      };1418    }1419  ] ).directive( 'nvd3HistoricalBarChart', [1420    function () {1421      return {1422        restrict: 'EA',1423        scope: {1424          data: '=',1425          width: '@',1426          height: '@',1427          id: '@',1428          tooltips: '@',1429          tooltipcontent: '&',1430          color: '&',1431          margin: '&',1432          nodata: '@',1433          x: '&',1434          y: '&',1435          forcey: '@',1436          isarea: '@',1437          interactive: '@',1438          clipedge: '@',1439          clipvoronoi: '@',1440          interpolate: '@',1441          highlightPoint: '@',1442          clearHighlights: '@',1443          callback: '&',1444          useinteractiveguideline: '@',1445          xaxisorient: '&',1446          xaxisticks: '&',1447          xaxistickvalues: '&xaxistickvalues',1448          xaxisticksubdivide: '&',1449          xaxisticksize: '&',1450          xaxistickpadding: '&',1451          xaxistickformat: '&',1452          xaxislabel: '@',1453          xaxisscale: '&',1454          xaxisdomain: '&',1455          xaxisrange: '&',1456          xaxisrangeband: '&',1457          xaxisrangebands: '&',1458          xaxisshowmaxmin: '@',1459          xaxishighlightzero: '@',1460          xaxisrotatelabels: '@',1461          xaxisrotateylabel: '@',1462          xaxisstaggerlabels: '@',1463          xaxisaxislabeldistance: '@',1464          yaxisorient: '&',1465          yaxisticks: '&',1466          yaxistickvalues: '&yaxistickvalues',1467          yaxisticksubdivide: '&',1468          yaxisticksize: '&',1469          yaxistickpadding: '&',1470          yaxistickformat: '&',1471          yaxislabel: '@',1472          yaxisscale: '&',1473          yaxisdomain: '&',1474          yaxisrange: '&',1475          yaxisrangeband: '&',1476          yaxisrangebands: '&',1477          yaxisshowmaxmin: '@',1478          yaxishighlightzero: '@',1479          yaxisrotatelabels: '@',1480          yaxisrotateylabel: '@',1481          yaxisstaggerlabels: '@',1482          yaxislabeldistance: '@',1483          legendmargin: '&',1484          legendwidth: '@',1485          legendheight: '@',1486          legendkey: '@',1487          legendcolor: '&',1488          legendalign: '@',1489          legendrightalign: '@',1490          legendupdatestate: '@',1491          legendradiobuttonmode: '@',1492          objectequality: '@',1493          transitionduration: '@'1494        },1495        controller: [1496          '$scope',1497          '$element',1498          '$attrs',1499          function ( $scope, $element, $attrs ) {1500            $scope.d3Call = function ( data, chart ) {1501              checkElementID( $scope, $attrs, $element, chart, data );1502            };1503          }1504        ],1505        link: function ( scope, element, attrs ) {1506          scope.$watch( 'data', function ( data ) {1507            if ( data ) {1508              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1509              if ( scope.chart ) {1510                return scope.d3Call( data, scope.chart );1511              }1512              nv.addGraph( {1513                generate: function () {1514                  initializeMargin( scope, attrs );1515                  var chart = nv.models.historicalBarChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1516                    return d[ 0 ];1517                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1518                    return d[ 1 ];1519                  } : scope.y() ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() );1520                  if ( chart.useInteractiveGuideline ) {1521                    chart.useInteractiveGuideline( attrs.useinteractiveguideline === undefined ? false : attrs.useinteractiveguideline === 'true' );1522                  }1523                  if ( attrs.tooltipcontent ) {1524                    chart.tooltipContent( scope.tooltipcontent() );1525                  }1526                  if ( attrs.valueformat ) {1527                    chart.valueFormat( scope.valueformat() );1528                  }1529                  scope.d3Call( data, chart );1530                  nv.utils.windowResize( chart.update );1531                  scope.chart = chart;1532                  return chart;1533                },1534                callback: attrs.callback === undefined ? null : scope.callback()1535              } );1536            }1537          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1538        }1539      };1540    }1541  ] ).directive( 'nvd3MultiBarHorizontalChart', [1542    function () {1543      return {1544        restrict: 'EA',1545        scope: {1546          data: '=',1547          width: '@',1548          height: '@',1549          id: '@',1550          showlegend: '@',1551          tooltips: '@',1552          tooltipcontent: '&',1553          color: '&',1554          showcontrols: '@',1555          margin: '&',1556          nodata: '@',1557          x: '&',1558          y: '&',1559          forcey: '@',1560          stacked: '@',1561          showvalues: '@',1562          valueformat: '&',1563          callback: '&',1564          xaxisorient: '&',1565          xaxisticks: '&',1566          xaxistickvalues: '&xaxistickvalues',1567          xaxisticksubdivide: '&',1568          xaxisticksize: '&',1569          xaxistickpadding: '&',1570          xaxistickformat: '&',1571          xaxislabel: '@',1572          xaxisscale: '&',1573          xaxisdomain: '&',1574          xaxisrange: '&',1575          xaxisrangeband: '&',1576          xaxisrangebands: '&',1577          xaxisshowmaxmin: '@',1578          xaxishighlightzero: '@',1579          xaxisrotatelabels: '@',1580          xaxisrotateylabel: '@',1581          xaxisstaggerlabels: '@',1582          xaxisaxislabeldistance: '@',1583          yaxisorient: '&',1584          yaxisticks: '&',1585          yaxistickvalues: '&yaxistickvalues',1586          yaxisticksubdivide: '&',1587          yaxisticksize: '&',1588          yaxistickpadding: '&',1589          yaxistickformat: '&',1590          yaxislabel: '@',1591          yaxisscale: '&',1592          yaxisdomain: '&',1593          yaxisrange: '&',1594          yaxisrangeband: '&',1595          yaxisrangebands: '&',1596          yaxisshowmaxmin: '@',1597          yaxishighlightzero: '@',1598          yaxisrotatelabels: '@',1599          yaxisrotateylabel: '@',1600          yaxisstaggerlabels: '@',1601          yaxislabeldistance: '@',1602          legendmargin: '&',1603          legendwidth: '@',1604          legendheight: '@',1605          legendkey: '@',1606          legendcolor: '&',1607          legendalign: '@',1608          legendrightalign: '@',1609          legendupdatestate: '@',1610          legendradiobuttonmode: '@',1611          objectequality: '@',1612          transitionduration: '@'1613        },1614        controller: [1615          '$scope',1616          '$element',1617          '$attrs',1618          function ( $scope, $element, $attrs ) {1619            $scope.d3Call = function ( data, chart ) {1620              checkElementID( $scope, $attrs, $element, chart, data );1621            };1622          }1623        ],1624        link: function ( scope, element, attrs ) {1625          scope.$watch( 'data', function ( data ) {1626            if ( data ) {1627              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1628              if ( scope.chart ) {1629                return scope.d3Call( data, scope.chart );1630              }1631              nv.addGraph( {1632                generate: function () {1633                  initializeMargin( scope, attrs );1634                  var chart = nv.models.multiBarHorizontalChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1635                    return d[ 0 ];1636                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1637                    return d[ 1 ];1638                  } : scope.y() ).showXAxis( attrs.showxaxis === undefined ? false : attrs.showxaxis === 'true' ).showYAxis( attrs.showyaxis === undefined ? false : attrs.showyaxis === 'true' ).forceY( attrs.forcey === undefined ? [ 0 ] : scope.$eval( attrs.forcey ) ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).showControls( attrs.showcontrols === undefined ? false : attrs.showcontrols === 'true' ).showValues( attrs.showvalues === undefined ? false : attrs.showvalues === 'true' ).stacked( attrs.stacked === undefined ? false : attrs.stacked === 'true' );1639                  if ( attrs.tooltipcontent ) {1640                    chart.tooltipContent( scope.tooltipcontent() );1641                  }1642                  if ( attrs.valueformat ) {1643                    chart.valueFormat( scope.valueformat() );1644                  }1645                  scope.d3Call( data, chart );1646                  nv.utils.windowResize( chart.update );1647                  scope.chart = chart;1648                  return chart;1649                },1650                callback: attrs.callback === undefined ? null : scope.callback()1651              } );1652            }1653          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1654        }1655      };1656    }1657  ] ).directive( 'nvd3PieChart', [1658    function () {1659      return {1660        restrict: 'EA',1661        scope: {1662          data: '=',1663          width: '@',1664          height: '@',1665          id: '@',1666          showlabels: '@',1667          showlegend: '@',1668          donutLabelsOutside: '@',1669          pieLabelsOutside: '@',1670          labelType: '@',1671          nodata: '@',1672          margin: '&',1673          x: '&',1674          y: '&',1675          color: '&',1676          donut: '@',1677          donutRatio: '@',1678          labelthreshold: '@',1679          description: '&',1680          tooltips: '@',1681          tooltipcontent: '&',1682          valueFormat: '&',1683          callback: '&',1684          legendmargin: '&',1685          legendwidth: '@',1686          legendheight: '@',1687          legendkey: '@',1688          legendcolor: '&',1689          legendalign: '@',1690          legendrightalign: '@',1691          legendupdatestate: '@',1692          legendradiobuttonmode: '@',1693          objectequality: '@',1694          transitionduration: '@'1695        },1696        controller: [1697          '$scope',1698          '$element',1699          '$attrs',1700          function ( $scope, $element, $attrs ) {1701            $scope.d3Call = function ( data, chart ) {1702              checkElementID( $scope, $attrs, $element, chart, data );1703            };1704          }1705        ],1706        link: function ( scope, element, attrs ) {1707          scope.$watch( 'data', function ( data ) {1708            if ( data ) {1709              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1710              if ( scope.chart ) {1711                return scope.d3Call( data, scope.chart );1712              }1713              nv.addGraph( {1714                generate: function () {1715                  initializeMargin( scope, attrs );1716                  var chart = nv.models.pieChart().x( attrs.x === undefined ? function ( d ) {1717                    return d[ 0 ];1718                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1719                    return d[ 1 ];1720                  } : scope.y() ).width( scope.width ).height( scope.height ).margin( scope.margin ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).showLabels( attrs.showlabels === undefined ? false : attrs.showlabels === 'true' ).labelThreshold( attrs.labelthreshold === undefined ? 0.02 : attrs.labelthreshold ).labelType( attrs.labeltype === undefined ? 'key' : attrs.labeltype ).pieLabelsOutside( attrs.pielabelsoutside === undefined ? true : attrs.pielabelsoutside === 'true' ).valueFormat( attrs.valueformat === undefined ? d3.format( ',.2f' ) : attrs.valueformat ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).description( attrs.description === undefined ? function ( d ) {1721                    return d.description;1722                  } : scope.description() ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).donutLabelsOutside( attrs.donutlabelsoutside === undefined ? false : attrs.donutlabelsoutside === 'true' ).donut( attrs.donut === undefined ? false : attrs.donut === 'true' ).donutRatio( attrs.donutratio === undefined ? 0.5 : attrs.donutratio );1723                  if ( attrs.tooltipcontent ) {1724                    chart.tooltipContent( scope.tooltipcontent() );1725                  }1726                  scope.d3Call( data, chart );1727                  nv.utils.windowResize( chart.update );1728                  scope.chart = chart;1729                  return chart;1730                },1731                callback: attrs.callback === undefined ? null : scope.callback()1732              } );1733            }1734          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1735        }1736      };1737    }1738  ] ).directive( 'nvd3ScatterChart', [1739    function () {1740      return {1741        restrict: 'EA',1742        scope: {1743          data: '=',1744          width: '@',1745          height: '@',1746          id: '@',1747          showlegend: '@',1748          tooltips: '@',1749          showcontrols: '@',1750          showDistX: '@',1751          showDistY: '@',1752          rightAlignYAxis: '@',1753          fisheye: '@',1754          xPadding: '@',1755          yPadding: '@',1756          tooltipContent: '&',1757          tooltipXContent: '&',1758          tooltipYContent: '&',1759          color: '&',1760          margin: '&',1761          nodata: '@',1762          transitionDuration: '@',1763          shape: '&',1764          onlyCircles: '@',1765          interactive: '@',1766          x: '&',1767          y: '&',1768          size: '&',1769          forceX: '@',1770          forceY: '@',1771          forceSize: '@',1772          xrange: '&',1773          xdomain: '&',1774          xscale: '&',1775          yrange: '&',1776          ydomain: '&',1777          yscale: '&',1778          sizerange: '&',1779          sizedomain: '&',1780          zscale: '&',1781          callback: '&',1782          xaxisorient: '&',1783          xaxisticks: '&',1784          xaxistickvalues: '&xaxistickvalues',1785          xaxisticksubdivide: '&',1786          xaxisticksize: '&',1787          xaxistickpadding: '&',1788          xaxistickformat: '&',1789          xaxislabel: '@',1790          xaxisscale: '&',1791          xaxisdomain: '&',1792          xaxisrange: '&',1793          xaxisrangeband: '&',1794          xaxisrangebands: '&',1795          xaxisshowmaxmin: '@',1796          xaxishighlightzero: '@',1797          xaxisrotatelabels: '@',1798          xaxisrotateylabel: '@',1799          xaxisstaggerlabels: '@',1800          xaxisaxislabeldistance: '@',1801          yaxisorient: '&',1802          yaxisticks: '&',1803          yaxistickvalues: '&yaxistickvalues',1804          yaxisticksubdivide: '&',1805          yaxisticksize: '&',1806          yaxistickpadding: '&',1807          yaxistickformat: '&',1808          yaxislabel: '@',1809          yaxisscale: '&',1810          yaxisdomain: '&',1811          yaxisrange: '&',1812          yaxisrangeband: '&',1813          yaxisrangebands: '&',1814          yaxisshowmaxmin: '@',1815          yaxishighlightzero: '@',1816          yaxisrotatelabels: '@',1817          yaxisrotateylabel: '@',1818          yaxisstaggerlabels: '@',1819          yaxislabeldistance: '@',1820          legendmargin: '&',1821          legendwidth: '@',1822          legendheight: '@',1823          legendkey: '@',1824          legendcolor: '&',1825          legendalign: '@',1826          legendrightalign: '@',1827          legendupdatestate: '@',1828          legendradiobuttonmode: '@',1829          objectequality: '@',1830          transitionduration: '@'1831        },1832        controller: [1833          '$scope',1834          '$element',1835          '$attrs',1836          function ( $scope, $element, $attrs ) {1837            $scope.d3Call = function ( data, chart ) {1838              checkElementID( $scope, $attrs, $element, chart, data );1839            };1840          }1841        ],1842        link: function ( scope, element, attrs ) {1843          scope.$watch( 'data', function ( data ) {1844            if ( data ) {1845              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.1846              if ( scope.chart ) {1847                return scope.d3Call( data, scope.chart );1848              }1849              nv.addGraph( {1850                generate: function () {1851                  initializeMargin( scope, attrs );1852                  var chart = nv.models.scatterChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1853                    return d.x;1854                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1855                    return d.y;1856                  } : scope.y() ).size( attrs.size === undefined ? function ( d ) {1857                    return d.size === undefined ? 1 : d.size;1858                  } : scope.size() ).forceX( attrs.forcex === undefined ? [] : scope.$eval( attrs.forcex ) ).forceY( attrs.forcey === undefined ? [] : scope.$eval( attrs.forcey ) ).forceSize( attrs.forcesize === undefined ? [] : scope.$eval( attrs.forcesize ) ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).tooltipContent( attrs.tooltipContent === undefined ? null : scope.tooltipContent() ).tooltipXContent( attrs.tooltipxcontent === undefined ? function ( key, x ) {1859                    return '<strong>' + x + '</strong>';1860                  } : scope.tooltipXContent() ).tooltipYContent( attrs.tooltipycontent === undefined ? function ( key, x, y ) {1861                    return '<strong>' + y + '</strong>';1862                  } : scope.tooltipYContent() ).showControls( attrs.showcontrols === undefined ? false : attrs.showcontrols === 'true' ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).showDistX( attrs.showdistx === undefined ? false : attrs.showdistx === 'true' ).showDistY( attrs.showdisty === undefined ? false : attrs.showdisty === 'true' ).xPadding( attrs.xpadding === undefined ? 0 : +attrs.xpadding ).yPadding( attrs.ypadding === undefined ? 0 : +attrs.ypadding ).fisheye( attrs.fisheye === undefined ? 0 : +attrs.fisheye ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).transitionDuration( attrs.transitionduration === undefined ? 250 : +attrs.transitionduration );1863                  if ( attrs.shape ) {1864                    chart.scatter.onlyCircles( false );1865                    chart.scatter.shape( attrs.shape === undefined ? function ( d ) {1866                      return d.shape || 'circle';1867                    } : scope.shape() );1868                  }1869                  //'pointActive', 'clipVoronoi', 'clipRadius', 'useVoronoi'1870                  if ( attrs.xdomain ) {1871                    if ( Array.isArray( scope.$eval( attrs.xdomain ) ) ) {1872                      chart.xDomain( scope.$eval( attrs.xdomain ) );1873                    } else if ( typeof scope.xdomain() === 'function' ) {1874                      chart.xDomain( scope.xdomain() );1875                    }1876                  }1877                  if ( attrs.ydomain ) {1878                    if ( Array.isArray( scope.$eval( attrs.ydomain ) ) ) {1879                      chart.yDomain( scope.$eval( attrs.ydomain ) );1880                    } else if ( typeof scope.ydomain() === 'function' ) {1881                      chart.yDomain( scope.ydomain() );1882                    }1883                  }1884                  if ( attrs.xscale ) {1885                    chart.xDomain( scope.xdomain() );1886                    chart.xRange( scope.xrange() );1887                    chart.xScale( scope.xscale() );1888                  }1889                  if ( attrs.yscale ) {1890                    chart.yDomain( scope.ydomain() );1891                    chart.yRange( scope.yrange() );1892                    chart.yScale( scope.yscale() );1893                  }1894                  if ( attrs.zscale ) {1895                    chart.sizeDomain( scope.sizedomain() );1896                    chart.sizeRange( scope.sizerange() );1897                    chart.zScale( scope.zscale() );1898                  }1899                  scope.d3Call( data, chart );1900                  nv.utils.windowResize( chart.update );1901                  scope.chart = chart;1902                  return chart;1903                },1904                callback: attrs.callback === undefined ? null : scope.callback()1905              } );1906            }1907          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );1908        }1909      };1910    }1911  ] ).directive( 'nvd3ScatterPlusLineChart', [1912    function () {1913      return {1914        restrict: 'EA',1915        scope: {1916          data: '=',1917          width: '@',1918          height: '@',1919          id: '@',1920          callback: '&'1921        },1922        controller: [1923          '$scope',1924          '$element',1925          '$attrs',1926          function ( $scope, $element, $attrs ) {1927            $scope.d3Call = function ( data, chart ) {1928              checkElementID( $scope, $attrs, $element, chart, data );1929            };1930          }1931        ],1932        link: function ( scope, element, attrs ) {1933          scope.$watch( 'data', function ( data ) {1934            if ( data ) {1935              if ( scope.chart ) {1936                return scope.d3Call( data, scope.chart );1937              }1938              nv.addGraph( {1939                generate: function () {1940                  initializeMargin( scope, attrs );1941                  var chart = nv.models.scatterPlusLineChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {1942                    return d.x;1943                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {1944                    return d.y;1945                  } : scope.y() ).size( attrs.size === undefined ? function ( d ) {1946                    return d.size === undefined ? 1 : d.size;1947                  } : scope.size() ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).tooltipContent( attrs.tooltipContent === undefined ? null : scope.tooltipContent() ).tooltipXContent( attrs.tooltipxcontent === undefined ? function ( key, x ) {1948                    return '<strong>' + x + '</strong>';1949                  } : scope.tooltipXContent() ).tooltipYContent( attrs.tooltipycontent === undefined ? function ( key, x, y ) {1950                    return '<strong>' + y + '</strong>';1951                  } : scope.tooltipYContent() ).showControls( attrs.showcontrols === undefined ? false : attrs.showcontrols === 'true' ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).showDistX( attrs.showdistx === undefined ? false : attrs.showdistx === 'true' ).showDistY( attrs.showdisty === undefined ? false : attrs.showdisty === 'true' ).xPadding( attrs.xpadding === undefined ? 0 : +attrs.xpadding ).yPadding( attrs.ypadding === undefined ? 0 : +attrs.ypadding ).fisheye( attrs.fisheye === undefined ? 0 : +attrs.fisheye ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).transitionDuration( attrs.transitionduration === undefined ? 250 : +attrs.transitionduration );1952                  if ( attrs.shape ) {1953                    chart.scatter.onlyCircles( false );1954                    chart.scatter.shape( attrs.shape === undefined ? function ( d ) {1955                      return d.shape || 'circle';1956                    } : scope.shape() );1957                  }1958                  scope.d3Call( data, chart );1959                  nv.utils.windowResize( chart.update );1960                  scope.chart = chart;1961                  return chart;1962                },1963                callback: attrs.callback === undefined ? null : scope.callback()1964              } );1965            }1966          } );1967        }1968      };1969    }1970  ] ).directive( 'nvd3LinePlusBarChart', [1971    function () {1972      return {1973        restrict: 'EA',1974        scope: {1975          data: '=',1976          width: '@',1977          height: '@',1978          id: '@',1979          showlegend: '@',1980          tooltips: '@',1981          showxaxis: '@',1982          showyaxis: '@',1983          forceX: '@',1984          forceY: '@',1985          forceY2: '@',1986          rightalignyaxis: '@',1987          defaultstate: '@',1988          nodata: '@',1989          margin: '&',1990          tooltipcontent: '&',1991          color: '&',1992          x: '&',1993          y: '&',1994          clipvoronoi: '@',1995          interpolate: '@',1996          callback: '&',1997          xaxisorient: '&',1998          xaxisticks: '&',1999          xaxistickvalues: '&xaxistickvalues',2000          xaxisticksubdivide: '&',2001          xaxisticksize: '&',2002          xaxistickpadding: '&',2003          xaxistickformat: '&',2004          xaxislabel: '@',2005          xaxisscale: '&',2006          xaxisdomain: '&',2007          xaxisrange: '&',2008          xaxisrangeband: '&',2009          xaxisrangebands: '&',2010          xaxisshowmaxmin: '@',2011          xaxishighlightzero: '@',2012          xaxisrotatelabels: '@',2013          xaxisrotateylabel: '@',2014          xaxisstaggerlabels: '@',2015          xaxisaxislabeldistance: '@',2016          y1axisorient: '&',2017          y1axisticks: '&',2018          y1axistickvalues: '&y1axistickvalues',2019          y1axisticksubdivide: '&',2020          y1axisticksize: '&',2021          y1axistickpadding: '&',2022          y1axistickformat: '&',2023          y1axislabel: '@',2024          y1axisscale: '&',2025          y1axisdomain: '&',2026          y1axisrange: '&',2027          y1axisrangeband: '&',2028          y1axisrangebands: '&',2029          y1axisshowmaxmin: '@',2030          y1axishighlightzero: '@',2031          y1axisrotatelabels: '@',2032          y1axisrotateylabel: '@',2033          y1axisstaggerlabels: '@',2034          y1axisaxislabeldistance: '@',2035          y2axisorient: '&',2036          y2axisticks: '&',2037          y2axistickvalues: '&y2axistickvalues',2038          y2axisticksubdivide: '&',2039          y2axisticksize: '&',2040          y2axistickpadding: '&',2041          y2axistickformat: '&',2042          y2axislabel: '@',2043          y2axisscale: '&',2044          y2axisdomain: '&',2045          y2axisrange: '&',2046          y2axisrangeband: '&',2047          y2axisrangebands: '&',2048          y2axisshowmaxmin: '@',2049          y2axishighlightzero: '@',2050          y2axisrotatelabels: '@',2051          y2axisrotateylabel: '@',2052          y2axisstaggerlabels: '@',2053          y2axisaxislabeldistance: '@',2054          legendmargin: '&',2055          legendwidth: '@',2056          legendheight: '@',2057          legendkey: '@',2058          legendcolor: '&',2059          legendalign: '@',2060          legendrightalign: '@',2061          legendupdatestate: '@',2062          legendradiobuttonmode: '@',2063          objectequality: '@',2064          transitionduration: '@'2065        },2066        controller: [2067          '$scope',2068          '$element',2069          '$attrs',2070          function ( $scope, $element, $attrs ) {2071            $scope.d3Call = function ( data, chart ) {2072              checkElementID( $scope, $attrs, $element, chart, data );2073            };2074          }2075        ],2076        link: function ( scope, element, attrs ) {2077          scope.$watch( 'data', function ( data ) {2078            if ( data ) {2079              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.2080              if ( scope.chart ) {2081                return scope.d3Call( data, scope.chart );2082              }2083              nv.addGraph( {2084                generate: function () {2085                  initializeMargin( scope, attrs );2086                  var chart = nv.models.linePlusBarChart().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {2087                    return d[ 0 ];2088                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {2089                    return d[ 1 ];2090                  } : scope.y() ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).interpolate( attrs.interpolate === undefined ? 'linear' : attrs.interpolate ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() );2091                  if ( attrs.forcex ) {2092                    chart.lines.forceX( scope.$eval( attrs.forcex ) );2093                    chart.bars.forceX( scope.$eval( attrs.forcex ) );2094                  }2095                  if ( attrs.forcey ) {2096                    chart.lines.forceY( scope.$eval( attrs.forcey ) );2097                    chart.bars.forceY( scope.$eval( attrs.forcey ) );2098                  }2099                  if ( attrs.tooltipcontent ) {2100                    chart.tooltipContent( scope.tooltipcontent() );2101                  }2102                  scope.d3Call( data, chart );2103                  nv.utils.windowResize( chart.update );2104                  scope.chart = chart;2105                  return chart;2106                },2107                callback: attrs.callback === undefined ? null : scope.callback()2108              } );2109            }2110          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );2111        }2112      };2113    }2114  ] ).directive( 'nvd3LineWithFocusChart', [2115    function () {2116      return {2117        restrict: 'EA',2118        scope: {2119          data: '=',2120          width: '@',2121          height: '@',2122          height2: '@',2123          id: '@',2124          showlegend: '@',2125          tooltips: '@',2126          showxaxis: '@',2127          showyaxis: '@',2128          rightalignyaxis: '@',2129          defaultstate: '@',2130          nodata: '@',2131          margin: '&',2132          margin2: '&',2133          tooltipcontent: '&',2134          color: '&',2135          x: '&',2136          y: '&',2137          forceX: '@',2138          forceY: '@',2139          clipedge: '@',2140          clipvoronoi: '@',2141          interpolate: '@',2142          isArea: '@',2143          size: '&',2144          defined: '&',2145          interactive: '@',2146          callback: '&',2147          xaxisorient: '&',2148          xaxisticks: '&',2149          xaxistickvalues: '&xaxistickvalues',2150          xaxisticksubdivide: '&',2151          xaxisticksize: '&',2152          xaxistickpadding: '&',2153          xaxistickformat: '&',2154          xaxislabel: '@',2155          xaxisscale: '&',2156          xaxisdomain: '&',2157          xaxisrange: '&',2158          xaxisrangeband: '&',2159          xaxisrangebands: '&',2160          xaxisshowmaxmin: '@',2161          xaxishighlightzero: '@',2162          xaxisrotatelabels: '@',2163          xaxisrotateylabel: '@',2164          xaxisstaggerlabels: '@',2165          xaxisaxislabeldistance: '@',2166          x2axisorient: '&',2167          x2axisticks: '&',2168          x2axistickvalues: '&xaxistickvalues',2169          x2axisticksubdivide: '&',2170          x2axisticksize: '&',2171          x2axistickpadding: '&',2172          x2axistickformat: '&',2173          x2axislabel: '@',2174          x2axisscale: '&',2175          x2axisdomain: '&',2176          x2axisrange: '&',2177          x2axisrangeband: '&',2178          x2axisrangebands: '&',2179          x2axisshowmaxmin: '@',2180          x2axishighlightzero: '@',2181          x2axisrotatelables: '@',2182          x2axisrotateylabel: '@',2183          x2axisstaggerlabels: '@',2184          yaxisorient: '&',2185          yaxisticks: '&',2186          yaxistickvalues: '&yaxistickvalues',2187          yaxisticksubdivide: '&',2188          yaxisticksize: '&',2189          yaxistickpadding: '&',2190          yaxistickformat: '&',2191          yaxislabel: '@',2192          yaxisscale: '&',2193          yaxisdomain: '&',2194          yaxisrange: '&',2195          yaxisrangeband: '&',2196          yaxisrangebands: '&',2197          yaxisshowmaxmin: '@',2198          yaxishighlightzero: '@',2199          yaxisrotatelabels: '@',2200          yaxisrotateylabel: '@',2201          yaxisstaggerlabels: '@',2202          yaxislabeldistance: '@',2203          y2axisorient: '&',2204          y2axisticks: '&',2205          y2axistickvalues: '&',2206          y2axisticksubdivide: '&',2207          y2axisticksize: '&',2208          y2axistickpadding: '&',2209          y2axistickformat: '&',2210          y2axislabel: '@',2211          y2axisscale: '&',2212          y2axisdomain: '&',2213          y2axisrange: '&',2214          y2axisrangeband: '&',2215          y2axisrangebands: '&',2216          y2axisshowmaxmin: '@',2217          y2axishighlightzero: '@',2218          y2axisrotatelabels: '@',2219          y2axisrotateylabel: '@',2220          y2axisstaggerlabels: '@',2221          legendmargin: '&',2222          legendwidth: '@',2223          legendheight: '@',2224          legendkey: '@',2225          legendcolor: '&',2226          legendalign: '@',2227          legendrightalign: '@',2228          legendupdatestate: '@',2229          legendradiobuttonmode: '@',2230          objectequality: '@',2231          transitionduration: '@'2232        },2233        controller: [2234          '$scope',2235          '$element',2236          '$attrs',2237          function ( $scope, $element, $attrs ) {2238            $scope.d3Call = function ( data, chart ) {2239              checkElementID( $scope, $attrs, $element, chart, data );2240            };2241          }2242        ],2243        link: function ( scope, element, attrs ) {2244          scope.$watch( 'data', function ( data ) {2245            if ( data ) {2246              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.2247              if ( scope.chart ) {2248                return scope.d3Call( data, scope.chart );2249              }2250              nv.addGraph( {2251                generate: function () {2252                  initializeMargin( scope, attrs );2253                  //setup height 22254                  //height 2 is 1002255                  //margin2256                  //nvd3 default is {top: 30, right: 30, bottom: 30, left: 60}2257                  //setup margin 22258                  //nvd3 default is {top: 0, right: 30, bottom: 20, left: 60}2259                  if ( attrs.margin2 ) {2260                    var margin2 = scope.$eval( attrs.margin2 );2261                    if ( typeof margin2 !== 'object' ) {2262                      // we were passed a vanilla int, convert to full margin object2263                      margin2 = {2264                        left: margin2,2265                        top: margin2,2266                        bottom: margin2,2267                        right: margin22268                      };2269                    }2270                    scope.margin2 = margin2;2271                  } else {2272                    scope.margin2 = {2273                      top: 0,2274                      right: 30,2275                      bottom: 20,2276                      left: 602277                    };2278                  }2279                  //'xDomain', 'yDomain', 'xRange', 'yRange', ''clipEdge', 'clipVoronoi'2280                  var chart = nv.models.lineWithFocusChart().width( scope.width ).height( scope.height ).height2( attrs.height2 === undefined ? 100 : +attrs.height2 ).margin( scope.margin ).margin2( scope.margin2 ).x( attrs.x === undefined ? function ( d ) {2281                    return d[ 0 ];2282                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {2283                    return d[ 1 ];2284                  } : scope.y() ).forceX( attrs.forcex === undefined ? [] : scope.$eval( attrs.forcex ) ).forceY( attrs.forcey === undefined ? [] : scope.$eval( attrs.forcey ) ).showLegend( attrs.showlegend === undefined ? false : attrs.showlegend === 'true' ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata ).color( attrs.color === undefined ? nv.utils.defaultColor() : scope.color() ).isArea( attrs.isarea === undefined ? function ( d ) {2285                    return d.area;2286                  } : function () {2287                    return attrs.isarea === 'true';2288                  } ).size( attrs.size === undefined ? function ( d ) {2289                    return d.size === undefined ? 1 : d.size;2290                  } : scope.size() ).interactive( attrs.interactive === undefined ? false : attrs.interactive === 'true' ).interpolate( attrs.interpolate === undefined ? 'linear' : attrs.interpolate );2291                  if ( attrs.defined ) {2292                    chart.defined( scope.defined() );2293                  }2294                  if ( attrs.tooltipcontent ) {2295                    chart.tooltipContent( scope.tooltipcontent() );2296                  }2297                  scope.d3Call( data, chart );2298                  nv.utils.windowResize( chart.update );2299                  scope.chart = chart;2300                  return chart;2301                },2302                callback: attrs.callback === undefined ? null : scope.callback()2303              } );2304            }2305          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );2306        }2307      };2308    }2309  ] ).directive( 'nvd3BulletChart', [2310    function () {2311      return {2312        restrict: 'EA',2313        scope: {2314          data: '=',2315          width: '@',2316          height: '@',2317          id: '@',2318          margin: '&',2319          tooltips: '@',2320          tooltipcontent: '&',2321          orient: '@',2322          ranges: '&',2323          markers: '&',2324          measures: '&',2325          tickformat: '&',2326          nodata: '@',2327          callback: '&',2328          objectequality: '@',2329          transitionduration: '@'2330        },2331        controller: [2332          '$scope',2333          '$element',2334          '$attrs',2335          function ( $scope, $element, $attrs ) {2336            $scope.d3Call = function ( data, chart ) {2337              checkElementID( $scope, $attrs, $element, chart, data );2338            };2339          }2340        ],2341        link: function ( scope, element, attrs ) {2342          scope.$watch( 'data', function ( data ) {2343            if ( data ) {2344              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.2345              if ( scope.chart ) {2346                return scope.d3Call( data, scope.chart );2347              }2348              nv.addGraph( {2349                generate: function () {2350                  initializeMargin( scope, attrs );2351                  var chart = nv.models.bulletChart().width( scope.width ).height( scope.height ).margin( scope.margin ).orient( attrs.orient === undefined ? 'left' : attrs.orient ).tickFormat( attrs.tickformat === undefined ? null : scope.tickformat() ).tooltips( attrs.tooltips === undefined ? false : attrs.tooltips === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata );2352                  if ( attrs.tooltipcontent ) {2353                    chart.tooltipContent( scope.tooltipcontent() );2354                  }2355                  scope.d3Call( data, chart );2356                  nv.utils.windowResize( chart.update );2357                  scope.chart = chart;2358                  return chart;2359                },2360                callback: attrs.callback === undefined ? null : scope.callback()2361              } );2362            }2363          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );2364        }2365      };2366    }2367  ] ).directive( 'nvd3SparklineChart', [2368    function () {2369      return {2370        restrict: 'EA',2371        scope: {2372          data: '=',2373          width: '@',2374          height: '@',2375          id: '@',2376          margin: '&',2377          x: '&',2378          y: '&',2379          color: '&',2380          xscale: '&',2381          yscale: '&',2382          showvalue: '@',2383          alignvalue: '@',2384          rightalignvalue: '@',2385          nodata: '@',2386          callback: '&',2387          xtickformat: '&',2388          ytickformat: '&',2389          objectequality: '@',2390          transitionduration: '@'2391        },2392        controller: [2393          '$scope',2394          '$element',2395          '$attrs',2396          function ( $scope, $element, $attrs ) {2397            $scope.d3Call = function ( data, chart ) {2398              checkElementID( $scope, $attrs, $element, chart, data );2399            };2400          }2401        ],2402        link: function ( scope, element, attrs ) {2403          scope.$watch( 'data', function ( data ) {2404            if ( data ) {2405              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.2406              if ( scope.chart ) {2407                return scope.d3Call( data, scope.chart );2408              }2409              nv.addGraph( {2410                generate: function () {2411                  initializeMargin( scope, attrs );2412                  var chart = nv.models.sparklinePlus().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {2413                    return d.x;2414                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {2415                    return d.y;2416                  } : scope.y() ).xTickFormat( attrs.xtickformat === undefined ? d3.format( ',r' ) : scope.xtickformat() ).yTickFormat( attrs.ytickformat === undefined ? d3.format( ',.2f' ) : scope.ytickformat() ).color( attrs.color === undefined ? nv.utils.getColor( [ '#000' ] ) : scope.color() ).showValue( attrs.showvalue === undefined ? true : attrs.showvalue === 'true' ).alignValue( attrs.alignvalue === undefined ? true : attrs.alignvalue === 'true' ).rightAlignValue( attrs.rightalignvalue === undefined ? false : attrs.rightalignvalue === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata );2417                  if ( attrs.xScale ) {2418                    chart.xScale( scope.xScale() );2419                  }2420                  if ( attrs.yScale ) {2421                    chart.yScale( scope.yScale() );2422                  }2423                  scope.d3Call( data, chart );2424                  nv.utils.windowResize( chart.update );2425                  scope.chart = chart;2426                  return chart;2427                },2428                callback: attrs.callback === undefined ? null : scope.callback()2429              } );2430            }2431          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );2432        }2433      };2434    }2435  ] ).directive( 'nvd3SparklineWithBandlinesChart', [2436    function () {2437      /**2438       * http://www.perceptualedge.com/articles/visual_business_intelligence/introducing_bandlines.pdf2439       * You need five primary facts about a set of time-series values to construct a bandline:2440       * 1) the lowest value,2441       * 2) the 25th percentile (i.e., the point at and below which the lowest 25% of the values reside),2442       * 3) the median (a.k.a., the 50th percentile, the point at and below which 50% of the values reside),2443       * 4) the 75th percentile (i.e., theÂ point at and below which 75% of the values reside), and2444       * 5) the highest value.2445       */2446      return {2447        restrict: 'EA',2448        scope: {2449          data: '=',2450          width: '@',2451          height: '@',2452          id: '@',2453          margin: '&',2454          x: '&',2455          y: '&',2456          color: '&',2457          xscale: '&',2458          yscale: '&',2459          showvalue: '@',2460          alignvalue: '@',2461          rightalignvalue: '@',2462          nodata: '@',2463          callback: '&',2464          xtickformat: '&',2465          ytickformat: '&',2466          objectequality: '@',2467          transitionduration: '@'2468        },2469        controller: [2470          '$scope',2471          '$element',2472          '$attrs',2473          function ( $scope, $element, $attrs ) {2474            //expect scope to contain bandlineProperties2475            $scope.d3Call = function ( data, chart ) {2476              var dataAttributeChartID;2477              //randomly generated if id attribute doesn't exist2478              var selectedChart;2479              var sLineSelection;2480              var bandlineData;2481              var bandLines;2482              if ( !$attrs.id ) {2483                dataAttributeChartID = 'chartid' + Math.floor( Math.random() * 1000000001 );2484                angular.element( $element ).attr( 'data-chartid', dataAttributeChartID );2485                selectedChart = d3.select( '[data-iem-chartid=' + dataAttributeChartID + '] svg' ).attr( 'height', $scope.height ).attr( 'width', $scope.width ).datum( data );2486                //chart.yScale()($scope.bandlineProperties.median)2487                //var sLineSelection = d3.select('svg#' + $attrs.id + ' g.nvd3.nv-wrap.nv-sparkline');2488                sLineSelection = d3.select( '[data-iem-chartid=' + dataAttributeChartID + '] svg' + ' g.nvd3.nv-wrap.nv-sparkline' );2489                bandlineData = [2490                  $scope.bandlineProperties.min,2491                  $scope.bandlineProperties.twentyFithPercentile,2492                  $scope.bandlineProperties.median,2493                  $scope.bandlineProperties.seventyFithPercentile,2494                  $scope.bandlineProperties.max2495                ];2496                bandLines = sLineSelection.selectAll( '.nv-bandline' ).data( [ bandlineData ] );2497                bandLines.enter().append( 'g' ).attr( 'class', 'nv-bandline' );2498                selectedChart.transition().duration( $attrs.transitionduration === undefined ? 250 : +$attrs.transitionduration ).call( chart );2499              } else {2500                if ( !d3.select( '#' + $attrs.id + ' svg' ) ) {2501                  d3.select( '#' + $attrs.id ).append( 'svg' );2502                }2503                selectedChart = d3.select( '#' + $attrs.id + ' svg' ).attr( 'height', $scope.height ).attr( 'width', $scope.width ).datum( data );2504                //chart.yScale()($scope.bandlineProperties.median)2505                sLineSelection = d3.select( 'svg#' + $attrs.id + ' g.nvd3.nv-wrap.nv-sparkline' );2506                bandlineData = [2507                  $scope.bandlineProperties.min,2508                  $scope.bandlineProperties.twentyFithPercentile,2509                  $scope.bandlineProperties.median,2510                  $scope.bandlineProperties.seventyFithPercentile,2511                  $scope.bandlineProperties.max2512                ];2513                bandLines = sLineSelection.selectAll( '.nv-bandline' ).data( [ bandlineData ] );2514                bandLines.enter().append( 'g' ).attr( 'class', 'nv-bandline' );2515                selectedChart.transition().duration( $attrs.transitionduration === undefined ? 250 : +$attrs.transitionduration ).call( chart );2516              }2517            };2518          }2519        ],2520        link: function ( scope, element, attrs ) {2521          scope.$watch( 'data', function ( data ) {2522            if ( data ) {2523              //if the chart exists on the scope, do not call addGraph again, update data and call the chart.2524              if ( scope.chart ) {2525                return scope.d3Call( data, scope.chart );2526              }2527              nv.addGraph( {2528                generate: function () {2529                  scope.bandlineProperties = {};2530                  var sortedValues;2531                  initializeMargin( scope, attrs );2532                  var chart = nv.models.sparklinePlus().width( scope.width ).height( scope.height ).margin( scope.margin ).x( attrs.x === undefined ? function ( d ) {2533                    return d.x;2534                  } : scope.x() ).y( attrs.y === undefined ? function ( d ) {2535                    return d.y;2536                  } : scope.y() ).xTickFormat( attrs.xtickformat === undefined ? d3.format( ',r' ) : scope.xtickformat() ).yTickFormat( attrs.ytickformat === undefined ? d3.format( ',.2f' ) : scope.ytickformat() ).color( attrs.color === undefined ? nv.utils.getColor( [ '#000' ] ) : scope.color() ).showValue( attrs.showvalue === undefined ? true : attrs.showvalue === 'true' ).alignValue( attrs.alignvalue === undefined ? true : attrs.alignvalue === 'true' ).rightAlignValue( attrs.rightalignvalue === undefined ? false : attrs.rightalignvalue === 'true' ).noData( attrs.nodata === undefined ? 'No Data Available.' : scope.nodata );2537                  //calc bandline data2538                  scope.bandlineProperties.min = d3.min( data, function ( d ) {2539                    return d[ 1 ];2540                  } );2541                  scope.bandlineProperties.max = d3.max( data, function ( d ) {2542                    return d[ 1 ];2543                  } );2544                  sortedValues = data.map( function ( d ) {2545                    return d[ 1 ];2546                  } ).sort( function ( a, b ) {2547                    if ( a[ 0 ] < b[ 0 ] ) {2548                      return -1;2549                    } else if ( a[ 0 ] === b[ 0 ] ) {2550                      return 0;2551                    } else {2552                      return 1;2553                    }2554                  } );2555                  scope.bandlineProperties.twentyFithPercentile = d3.quantile( sortedValues, 0.25 );2556                  scope.bandlineProperties.median = d3.median( sortedValues );2557                  scope.bandlineProperties.seventyFithPercentile = d3.quantile( sortedValues, 0.75 );2558                  if ( attrs.xScale ) {2559                    chart.xScale( scope.xScale() );2560                  }2561                  if ( attrs.yScale ) {2562                    chart.yScale( scope.yScale() );2563                  }2564                  configureXaxis( chart, scope, attrs );2565                  configureYaxis( chart, scope, attrs );2566                  processEvents( chart, scope );2567                  scope.d3Call( data, chart );2568                  nv.utils.windowResize( chart.update );2569                  scope.chart = chart;2570                  return chart;2571                },2572                callback: attrs.callback === undefined ? null : scope.callback()2573              } );2574            }2575          }, attrs.objectequality === undefined ? false : attrs.objectequality === 'true' );2576        }2577      };2578    }2579  ] ); //still need to implement2580  //sparkbars??2581  //nv.models.multiBarTimeSeriesChart2582  //nv.models.multiChart2583  //nv.models.scatterPlusLineChart2584  //nv.models.linePlusBarWithFocusChart2585  //dual y-axis chart2586  //crossfilter using $services?...

_op_translations.py

Source:_op_translations.py

1# Licensed to the Apache Software Foundation (ASF) under one2# or more contributor license agreements.  See the NOTICE file3# distributed with this work for additional information4# regarding copyright ownership.  The ASF licenses this file5# to you under the Apache License, Version 2.0 (the6# "License"); you may not use this file except in compliance7# with the License.  You may obtain a copy of the License at8#9#   http://www.apache.org/licenses/LICENSE-2.010#11# Unless required by applicable law or agreed to in writing,12# software distributed under the License is distributed on an13# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY14# KIND, either express or implied.  See the License for the15# specific language governing permissions and limitations16# under the License.17# coding: utf-818""" Module for translating ONNX operators into Mxnet operatoes"""19# pylint: disable=unused-argument,protected-access20import numpy as np21from . import _translation_utils as translation_utils22from .... import symbol23# Method definitions for the callable objects mapped in the import_helper module24def identity(attrs, inputs, proto_obj):25    """Returns the identity function of the input."""26    return 'identity', attrs, inputs27def random_uniform(attrs, inputs, proto_obj):28    """Draw random samples from a uniform distribtuion."""29    try:30        from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE31    except ImportError:32        raise ImportError("Onnx and protobuf need to be installed. "33                          "Instructions to install - https://github.com/onnx/onnx")34    new_attrs = translation_utils._remove_attributes(attrs, ['seed'])35    new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs.get('dtype', 1))]36    return 'random_uniform', new_attrs, inputs37def random_normal(attrs, inputs, proto_obj):38    """Draw random samples from a Gaussian distribution."""39    try:40        from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE41    except ImportError:42        raise ImportError("Onnx and protobuf need to be installed. "43                          "Instructions to install - https://github.com/onnx/onnx")44    new_attr = translation_utils._remove_attributes(attrs, ['seed'])45    new_attr = translation_utils._fix_attribute_names(new_attr, {'mean': 'loc'})46    new_attr['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attr.get('dtype', 1))]47    return 'random_normal', new_attr, inputs48def sample_multinomial(attrs, inputs, proto_obj):49    """Draw random samples from a multinomial distribution."""50    try:51        from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE52    except ImportError:53        raise ImportError("Onnx and protobuf need to be installed. "54                          + "Instructions to install - https://github.com/onnx/onnx")55    new_attrs = translation_utils._remove_attributes(attrs, ['seed'])56    new_attrs = translation_utils._fix_attribute_names(new_attrs, {'sample_size': 'shape'})57    new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(attrs.get('dtype', 6))]58    return 'sample_multinomial', new_attrs, inputs59# Arithmetic Operations60def add(attrs, inputs, proto_obj):61    """Adding two tensors"""62    new_attr = {}63    if 'broadcast' in attrs and attrs['broadcast'] == 1:64        broadcast_axis = attrs['axis']65        op_value = translation_utils._fix_broadcast('broadcast_add', inputs,66                                                    broadcast_axis, proto_obj)67        return op_value, new_attr, inputs68    return 'broadcast_add', new_attr, inputs69def subtract(attrs, inputs, proto_obj):70    """Subtracting two tensors"""71    new_attr = {}72    if 'broadcast' in attrs and attrs['broadcast'] == 1:73        broadcast_axis = attrs['axis']74        op_value = translation_utils._fix_broadcast('broadcast_sub', inputs,75                                                    broadcast_axis, proto_obj)76        return op_value, new_attr, inputs77    return 'broadcast_sub', new_attr, inputs78def multiply(attrs, inputs, proto_obj):79    """Multiply two tensors"""80    new_attr = {}81    if 'broadcast' in attrs and attrs['broadcast'] == 1:82        broadcast_axis = attrs['axis']83        op_value = translation_utils._fix_broadcast('broadcast_mul', inputs,84                                                    broadcast_axis, proto_obj)85        return op_value, new_attr, inputs86    return 'broadcast_mul', new_attr, inputs87def divide(attrs, inputs, proto_obj):88    """Divide two tensors"""89    new_attr = {}90    if 'broadcast' in attrs and attrs['broadcast'] == 1:91        broadcast_axis = attrs['axis']92        op_value = translation_utils._fix_broadcast('broadcast_div', inputs,93                                                    broadcast_axis, proto_obj)94        return op_value, new_attr, inputs95    return 'broadcast_div', new_attr, inputs96def mean(attrs, inputs, proto_obj):97    """Mean of all the input tensors."""98    concat_input = [symbol.expand_dims(op_input, axis=0) for op_input in inputs]99    concat_sym = symbol.concat(*concat_input, dim=0)100    mean_sym = symbol.mean(concat_sym, axis=0)101    return mean_sym, attrs, inputs102def logical_and(attrs, inputs, proto_obj):103    """Logical and of two input arrays."""104    return 'broadcast_logical_and', attrs, inputs105def logical_or(attrs, inputs, proto_obj):106    """Logical or of two input arrays."""107    return 'broadcast_logical_or', attrs, inputs108def logical_xor(attrs, inputs, proto_obj):109    """Logical xor of two input arrays."""110    return 'broadcast_logical_xor', attrs, inputs111def logical_not(attrs, inputs, proto_obj):112    """Logical not of two input arrays."""113    return 'logical_not', attrs, inputs114def absolute(attrs, inputs, proto_obj):115    """Returns element-wise absolute value of the input."""116    return 'abs', attrs, inputs117def negative(attrs, inputs, proto_obj):118    """Negation of every element in a tensor"""119    return 'negative', attrs, inputs120def add_n(attrs, inputs, proto_obj):121    """Elementwise sum of arrays"""122    return 'add_n', attrs, inputs123# Sorting and Searching124def argmax(attrs, inputs, proto_obj):125    """Returns indices of the maximum values along an axis"""126    axis = attrs.get('axis', 0)127    keepdims = attrs.get('keepdims', 1)128    argmax_op = symbol.argmax(inputs[0], axis=axis, keepdims=keepdims)129    # onnx argmax operator always expects int64 as output type130    cast_attrs = {'dtype': 'int64'}131    return 'cast', cast_attrs, argmax_op132def argmin(attrs, inputs, proto_obj):133    """Returns indices of the minimum values along an axis."""134    axis = attrs.get('axis', 0)135    keepdims = attrs.get('keepdims', 1)136    argmin_op = symbol.argmin(inputs[0], axis=axis, keepdims=keepdims)137    # onnx argmax operator always expects int64 as output type138    cast_attrs = {'dtype': 'int64'}139    return 'cast', cast_attrs, argmin_op140def maximum(attrs, inputs, proto_obj):141    """142    Elementwise maximum of arrays.143    MXNet maximum compares only two symbols at a time.144    ONNX can send more than two to compare.145    Breaking into multiple mxnet ops to compare two symbols at a time146    """147    if len(inputs) > 1:148        mxnet_op = symbol.maximum(inputs[0], inputs[1])149        for op_input in inputs[2:]:150            mxnet_op = symbol.maximum(mxnet_op, op_input)151    else:152        mxnet_op = symbol.maximum(inputs[0], inputs[0])153    return mxnet_op, attrs, inputs154def minimum(attrs, inputs, proto_obj):155    """Elementwise minimum of arrays."""156    # MXNet minimum compares only two symbols at a time.157    # ONNX can send more than two to compare.158    # Breaking into multiple mxnet ops to compare two symbols at a time159    if len(inputs) > 1:160        mxnet_op = symbol.minimum(inputs[0], inputs[1])161        for op_input in inputs[2:]:162            mxnet_op = symbol.minimum(mxnet_op, op_input)163    else:164        mxnet_op = symbol.minimum(inputs[0], inputs[0])165    return mxnet_op, attrs, inputs166def lesser(attrs, inputs, proto_obj):167    """Logical Lesser operator with broadcasting."""168    return 'broadcast_lesser', attrs, inputs169def greater(attrs, inputs, proto_obj):170    """Logical Greater operator with broadcasting."""171    return 'broadcast_greater', attrs, inputs172def equal(attrs, inputs, proto_obj):173    """Logical Equal operator with broadcasting."""174    return 'broadcast_equal', attrs, inputs175#Hyperbolic functions176def tanh(attrs, inputs, proto_obj):177    """Returns the hyperbolic tangent of the input array."""178    return 'tanh', attrs, inputs179# Rounding180def ceil(attrs, inputs, proto_obj):181    """ Calculate ceil value for input """182    return 'ceil', attrs, inputs183def floor(attrs, inputs, proto_obj):184    """ Calculate floor value for input """185    return 'floor', attrs, inputs186# Joining and spliting187def concat(attrs, inputs, proto_obj):188    """ Joins input arrays along a given axis. """189    new_attrs = translation_utils._fix_attribute_names(attrs, {'axis': 'dim'})190    return 'concat', new_attrs, inputs191# Basic neural network functions192def softsign(attrs, inputs, proto_obj):193    """Computes softsign of x element-wise."""194    return 'softsign', attrs, inputs195def sigmoid(attrs, inputs, proto_obj):196    """Computes elementwise sigmoid of the input array"""197    return 'sigmoid', attrs, inputs198def hardsigmoid(attrs, inputs, proto_obj):199    """Computes elementwise hard sigmoid of the input array"""200    return 'hard_sigmoid', attrs, inputs201def relu(attrs, inputs, proto_obj):202    """Computes rectified linear function."""203    return 'relu', attrs, inputs204def pad(attrs, inputs, proto_obj):205    """ Add padding to input tensor"""206    new_attrs = translation_utils._fix_attribute_names(attrs, {'pads'  : 'pad_width',207                                                               'value' : 'constant_value'208                                                              })209    new_attrs['pad_width'] = translation_utils._pad_sequence_fix(new_attrs.get('pad_width'))210    return 'pad', new_attrs, inputs211def matrix_multiplication(attrs, inputs, proto_obj):212    """Performs general matrix multiplication"""213    return 'linalg_gemm2', attrs, inputs214def batch_norm(attrs, inputs, proto_obj):215    """Batch normalization."""216    new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon': 'eps',217                                                               'is_test': 'fix_gamma'})218    new_attrs = translation_utils._remove_attributes(new_attrs,219                                                     ['spatial', 'consumed_inputs'])220    # Disable cuDNN BN only if epsilon from model is < than minimum cuDNN eps (1e-5)221    cudnn_min_eps = 1e-5222    cudnn_off = 0 if attrs.get('epsilon', cudnn_min_eps) >= cudnn_min_eps else 1223    new_attrs = translation_utils._add_extra_attributes(new_attrs, {'cudnn_off': cudnn_off})224    # in test mode "fix_gamma" should be unset.225    new_attrs['fix_gamma'] = not attrs.get('is_test', 1)226    return 'BatchNorm', new_attrs, inputs227def instance_norm(attrs, inputs, proto_obj):228    """Instance Normalization."""229    new_attrs = translation_utils._fix_attribute_names(attrs, {'epsilon' : 'eps'})230    new_attrs['eps'] = attrs.get('epsilon', 1e-5)231    return 'InstanceNorm', new_attrs, inputs232def leaky_relu(attrs, inputs, proto_obj):233    """Leaky Relu function"""234    if 'alpha' in attrs:235        new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})236    else:237        new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 0.01})238    return 'LeakyReLU', new_attrs, inputs239def _elu(attrs, inputs, proto_obj):240    """Elu function"""241    if 'alpha' in attrs:242        new_attrs = translation_utils._fix_attribute_names(attrs, {'alpha' : 'slope'})243    else:244        new_attrs = translation_utils._add_extra_attributes(attrs, {'slope': 1.0})245    new_attrs = translation_utils._add_extra_attributes(new_attrs, {'act_type': 'elu'})246    return 'LeakyReLU', new_attrs, inputs247def _prelu(attrs, inputs, proto_obj):248    """PRelu function"""249    new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'prelu'})250    return 'LeakyReLU', new_attrs, inputs251def _selu(attrs, inputs, proto_obj):252    """Selu function"""253    new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type': 'selu'})254    return 'LeakyReLU', new_attrs, inputs255def softmax(attrs, inputs, proto_obj):256    """Softmax function."""257    if 'axis' not in attrs:258        attrs = translation_utils._add_extra_attributes(attrs, {'axis': 1})259    return 'softmax', attrs, inputs260def log_softmax(attrs, inputs, proto_obj):261    """Computes the log softmax of the input. This is equivalent to262    computing softmax followed by log."""263    return 'log_softmax', attrs, inputs264def softplus(attrs, inputs, proto_obj):265    """Applies the sofplus activation function element-wise to the input."""266    new_attrs = translation_utils._add_extra_attributes(attrs, {'act_type' : 'softrelu'})267    return 'Activation', new_attrs, inputs268def conv(attrs, inputs, proto_obj):269    """Compute N-D convolution on (N+2)-D input."""270    new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',271                                                               'strides' : 'stride',272                                                               'pads': 'pad',273                                                               'dilations': 'dilate',274                                                               'group': 'num_group'})275    new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})276    new_attrs = translation_utils._fix_bias('Convolution', new_attrs, len(inputs))277    new_attrs = translation_utils._fix_channels('Convolution', new_attrs, inputs, proto_obj)278    kernel = new_attrs['kernel']279    stride = new_attrs['stride'] if 'stride' in new_attrs else []280    padding = new_attrs['pad'] if 'pad' in new_attrs else []281    dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []282    num_filter = new_attrs['num_filter']283    num_group = new_attrs['num_group']284    no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else 0285    bias = None if no_bias is True else inputs[2]286    # Unlike ONNX, MXNet's convolution operator does not support asymmetric padding, so we first287    # use 'Pad' operator, which supports asymmetric padding. Then use the convolution operator.288    pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))289    pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)290    conv_op = symbol.Convolution(pad_op, inputs[1], bias,291                                 kernel=kernel, stride=stride, dilate=dilations,292                                 num_filter=num_filter, num_group=num_group, no_bias=no_bias)293    return conv_op, new_attrs, inputs294def deconv(attrs, inputs, proto_obj):295    """Computes transposed convolution of the input tensor."""296    new_attrs = translation_utils._fix_attribute_names(attrs, {'kernel_shape' : 'kernel',297                                                               'strides' : 'stride',298                                                               'pads': 'pad',299                                                               'dilations': 'dilate',300                                                               'group': 'num_group'})301    new_attrs = translation_utils._add_extra_attributes(new_attrs, {'num_group' : 1})302    new_attrs = translation_utils._fix_bias('Deconvolution', new_attrs, len(inputs))303    new_attrs = translation_utils._fix_channels('Deconvolution', new_attrs, inputs, proto_obj)304    kernel = new_attrs['kernel']305    stride = new_attrs['stride'] if 'stride' in new_attrs else []306    padding = new_attrs['pad'] if 'pad' in new_attrs else []307    dilations = new_attrs['dilate'] if 'dilate' in new_attrs else []308    num_filter = new_attrs['num_filter']309    num_group = new_attrs['num_group']310    no_bias = new_attrs['no_bias'] if 'no_bias' in new_attrs else False311    bias = None if no_bias is True else inputs[2]312    # Unlike ONNX, MXNet's deconvolution operator does not support asymmetric padding, so we first313    # use 'Pad' operator, which supports asymmetric padding. Then use the deconvolution operator.314    pad_width = (0, 0, 0, 0) + translation_utils._pad_sequence_fix(padding, kernel_dim=len(kernel))315    pad_op = symbol.pad(inputs[0], mode='constant', pad_width=pad_width)316    deconv_op = symbol.Deconvolution(pad_op, inputs[1], bias,317                                     kernel=kernel, stride=stride, dilate=dilations,318                                     num_filter=num_filter, num_group=num_group, no_bias=no_bias)319    return deconv_op, new_attrs, inputs320def fully_connected(attrs, inputs, proto_obj):321    """Applies a linear transformation: Y=XWT+b."""322    new_attrs = translation_utils._remove_attributes(attrs, ['axis'])323    new_attrs = translation_utils._fix_bias('FullyConnected', new_attrs, len(inputs))324    new_attrs = translation_utils._fix_channels('FullyConnected', new_attrs, inputs, proto_obj)325    return 'FullyConnected', new_attrs, inputs326def global_maxpooling(attrs, inputs, proto_obj):327    """Performs max pooling on the input."""328    new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,329                                                                'kernel': (1, 1),330                                                                'pool_type': 'max'})331    return 'Pooling', new_attrs, inputs332def global_avgpooling(attrs, inputs, proto_obj):333    """Performs avg pooling on the input."""334    new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,335                                                                'kernel': (1, 1),336                                                                'pool_type': 'avg'})337    return 'Pooling', new_attrs, inputs338def global_lppooling(attrs, inputs, proto_obj):339    """Performs global lp pooling on the input."""340    p_value = attrs.get('p', 2)341    new_attrs = translation_utils._add_extra_attributes(attrs, {'global_pool': True,342                                                                'kernel': (1, 1),343                                                                'pool_type': 'lp',344                                                                'p_value': p_value})345    new_attrs = translation_utils._remove_attributes(new_attrs, ['p'])346    return 'Pooling', new_attrs, inputs347def linalg_gemm(attrs, inputs, proto_obj):348    """Performs general matrix multiplication and accumulation"""349    trans_a = 0350    trans_b = 0351    alpha = 1352    beta = 1353    if 'transA' in attrs:354        trans_a = attrs['transA']355    if 'transB' in attrs:356        trans_b = attrs['transB']357    if 'alpha' in attrs:358        alpha = attrs['alpha']359    if 'beta' in attrs:360        beta = attrs['beta']361    flatten_a = symbol.flatten(inputs[0])362    matmul_op = symbol.linalg_gemm2(A=flatten_a, B=inputs[1],363                                    transpose_a=trans_a, transpose_b=trans_b,364                                    alpha=alpha)365    gemm_op = symbol.broadcast_add(matmul_op, beta*inputs[2])366    new_attrs = translation_utils._fix_attribute_names(attrs, {'transA': 'transpose_a',367                                                               'transB': 'transpose_b'})368    new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])369    return gemm_op, new_attrs, inputs370def local_response_norm(attrs, inputs, proto_obj):371    """Local Response Normalization."""372    new_attrs = translation_utils._fix_attribute_names(attrs,373                                                       {'bias': 'knorm',374                                                        'size' : 'nsize'})375    return 'LRN', new_attrs, inputs376def dropout(attrs, inputs, proto_obj):377    """Dropout Regularization."""378    mode = 'training'379    if 'is_test' in attrs and attrs['is_test'] == 0:380        mode = 'always'381    new_attrs = translation_utils._fix_attribute_names(attrs,382                                                       {'ratio': 'p'})383    new_attrs = translation_utils._remove_attributes(new_attrs, ['is_test'])384    new_attrs = translation_utils._add_extra_attributes(new_attrs, {'mode': mode})385    return 'Dropout', new_attrs, inputs386# Changing shape and type.387def reshape(attrs, inputs, proto_obj):388    """Reshape the given array by the shape attribute."""389    if len(inputs) == 1:390        return 'reshape', attrs, inputs[0]391    reshape_shape = list(proto_obj._params[inputs[1].name].asnumpy())392    reshape_shape = [int(i) for i in reshape_shape]393    new_attrs = {'shape': reshape_shape}394    return 'reshape', new_attrs, inputs[:1]395def cast(attrs, inputs, proto_obj):396    """ Cast input to a given dtype"""397    try:398        from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE399    except ImportError:400        raise ImportError("Onnx and protobuf need to be installed. "401                          + "Instructions to install - https://github.com/onnx/onnx")402    new_attrs = translation_utils._fix_attribute_names(attrs, {'to' : 'dtype'})403    new_attrs['dtype'] = TENSOR_TYPE_TO_NP_TYPE[int(new_attrs['dtype'])]404    return 'cast', new_attrs, inputs405def split(attrs, inputs, proto_obj):406    """Splits an array along a particular axis into multiple sub-arrays."""407    split_list = attrs.get('split') if 'split' in attrs else []408    new_attrs = translation_utils._fix_attribute_names(attrs,409                                                       {'split' : 'num_outputs'})410    if 'axis' not in attrs:411        new_attrs = translation_utils._add_extra_attributes(new_attrs, {'axis': 0})412    if not split_list:413        num_outputs = len(proto_obj.model_metadata.get('output_tensor_data'))414    else:415        if len(set(split_list)) == 1:416            num_outputs = len(split_list)417        else:418            raise NotImplementedError("Operator {} in MXNet does not support variable splits."419                                      "Tracking the issue to support variable split here: "420                                      "https://github.com/apache/incubator-mxnet/issues/11594"421                                      .format('split'))422    new_attrs['num_outputs'] = num_outputs423    return 'split', new_attrs, inputs424def _slice(attrs, inputs, proto_obj):425    """Returns a slice of the input tensor along multiple axes."""426    new_attrs = translation_utils._fix_attribute_names(attrs,427                                                       {'axes' : 'axis',428                                                        'ends' : 'end',429                                                        'starts' : 'begin'})430    # onnx slice provides slicing on multiple axis. Adding multiple slice_axis operator431    # for multiple axes from mxnet432    begin = new_attrs.get('begin')433    end = new_attrs.get('end')434    axes = new_attrs.get('axis', tuple(range(len(begin))))435    slice_op = symbol.slice_axis(inputs[0], axis=axes[0], begin=begin[0], end=end[0])436    if len(axes) > 1:437        for i, axis in enumerate(axes):438            slice_op = symbol.slice_axis(slice_op, axis=axis, begin=begin[i], end=end[i])439    return slice_op, new_attrs, inputs440def transpose(attrs, inputs, proto_obj):441    """Transpose the input array."""442    new_attrs = translation_utils._fix_attribute_names(attrs,443                                                       {'perm' : 'axes'})444    return 'transpose', new_attrs, inputs445def squeeze(attrs, inputs, proto_obj):446    """Remove single-dimensional entries from the shape of a tensor."""447    new_attrs = translation_utils._fix_attribute_names(attrs,448                                                       {'axes' : 'axis'})449    return 'squeeze', new_attrs, inputs450def unsqueeze(attrs, inputs, cls):451    """Inserts a new axis of size 1 into the array shape"""452    # MXNet can only add one axis at a time.453    mxnet_op = inputs[0]454    for axis in attrs["axes"]:455        mxnet_op = symbol.expand_dims(mxnet_op, axis=axis)456    return mxnet_op, attrs, inputs457def flatten(attrs, inputs, proto_obj):458    """Flattens the input array into a 2-D array by collapsing the higher dimensions."""459    #Mxnet does not have axis support. By default uses axis=1460    if 'axis' in attrs and attrs['axis'] != 1:461        raise RuntimeError("Flatten operator only supports axis=1")462    new_attrs = translation_utils._remove_attributes(attrs, ['axis'])463    return 'Flatten', new_attrs, inputs464def clip(attrs, inputs, proto_obj):465    """Clips (limits) the values in an array."""466    new_attrs = translation_utils._fix_attribute_names(attrs, {'min' : 'a_min',467                                                               'max' : 'a_max'})468    if 'a_max' not in new_attrs:469        new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_max' : np.inf})470    if 'a_min' not in new_attrs:471        new_attrs = translation_utils._add_extra_attributes(new_attrs, {'a_min' : -np.inf})472    return 'clip', new_attrs, inputs473def gather(attrs, inputs, proto_obj):474    """Gather elements from an input array along the given axis."""475    return 'take', attrs, inputs476#Powers477def reciprocal(attrs, inputs, proto_obj):478    """Returns the reciprocal of the argument, element-wise."""479    return 'reciprocal', attrs, inputs480def squareroot(attrs, inputs, proto_obj):481    """Returns element-wise square-root value of the input."""482    return 'sqrt', attrs, inputs483def power(attrs, inputs, proto_obj):484    """Returns element-wise result of base element raised to powers from exp element."""485    new_attrs = translation_utils._fix_attribute_names(attrs, {'exponent':'exp'})486    if 'broadcast' in attrs:487        new_attrs = translation_utils._remove_attributes(new_attrs, ['broadcast'])488        if attrs['broadcast'] == 1:489            return 'broadcast_power', new_attrs, inputs490        else:491            mxnet_op = symbol.pow(inputs[0], inputs[1])492            return mxnet_op, new_attrs, inputs493    mxnet_op = symbol.broadcast_power(inputs[0], inputs[1])494    return mxnet_op, new_attrs, inputs495def exponent(attrs, inputs, proto_obj):496    """Elementwise exponent of input array."""497    return 'exp', attrs, inputs498def _cos(attrs, inputs, proto_obj):499    """Elementwise cosine of input array."""500    return 'cos', attrs, inputs501def _sin(attrs, inputs, proto_obj):502    """Elementwise sine of input array."""503    return 'sin', attrs, inputs504def _tan(attrs, inputs, proto_obj):505    """Elementwise tan of input array."""506    return 'tan', attrs, inputs507def arccos(attrs, inputs, proto_obj):508    """Elementwise inverse cos of input array."""509    return 'arccos', attrs, inputs510def arcsin(attrs, inputs, proto_obj):511    """Elementwise inverse sin of input array."""512    return 'arcsin', attrs, inputs513def arctan(attrs, inputs, proto_obj):514    """Elementwise inverse tan of input array."""515    return 'arctan', attrs, inputs516def _log(attrs, inputs, proto_obj):517    """Elementwise log of input array."""518    return 'log', attrs, inputs519# Reduce Functions520def reduce_max(attrs, inputs, proto_obj):521    """Reduce the array along a given axis by maximum value"""522    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})523    return 'max', new_attrs, inputs524def reduce_mean(attrs, inputs, proto_obj):525    """Reduce the array along a given axis by mean value"""526    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})527    return 'mean', new_attrs, inputs528def reduce_min(attrs, inputs, proto_obj):529    """Reduce the array along a given axis by minimum value"""530    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})531    return 'min', new_attrs, inputs532def reduce_sum(attrs, inputs, proto_obj):533    """Reduce the array along a given axis by sum value"""534    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})535    return 'sum', new_attrs, inputs536def reduce_prod(attrs, inputs, proto_obj):537    """Reduce the array along a given axis by product value"""538    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})539    return 'prod', new_attrs, inputs540def reduce_log_sum(attrs, inputs, proto_obj):541    """Reduce the array along a given axis by log sum value"""542    keep_dims = True if 'keepdims' not in attrs else attrs.get('keepdims')543    sum_op = symbol.sum(inputs[0], axis=attrs.get('axes'),544                        keepdims=keep_dims)545    log_sym = symbol.log(sum_op)546    return log_sym, attrs, inputs547def reduce_log_sum_exp(attrs, inputs, proto_obj):548    """Reduce the array along a given axis by log sum exp value"""549    keep_dims = True if 'keepdims' not in attrs else attrs.get('keepdims')550    exp_op = symbol.exp(inputs[0])551    sum_op = symbol.sum(exp_op, axis=attrs.get('axes'),552                        keepdims=keep_dims)553    log_sym = symbol.log(sum_op)554    return log_sym, attrs, inputs555def reduce_sum_square(attrs, inputs, proto_obj):556    """Reduce the array along a given axis by sum square value"""557    square_op = symbol.square(inputs[0])558    sum_op = symbol.sum(square_op, axis=attrs.get('axes'),559                        keepdims=attrs.get('keepdims'))560    return sum_op, attrs, inputs561def reduce_l1(attrs, inputs, proto_obj):562    """Reduce input tensor by l1 normalization."""563    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})564    new_attrs = translation_utils._add_extra_attributes(new_attrs,565                                                        {'ord' : 1})566    return 'norm', new_attrs, inputs567def shape(attrs, inputs, proto_obj):568    """Returns shape of input array."""569    return 'shape_array', attrs, inputs570def size(attrs, inputs, proto_obj):571    """Returns array containing size of data."""572    return "size_array", attrs, inputs573def reduce_l2(attrs, inputs, proto_obj):574    """Reduce input tensor by l2 normalization."""575    new_attrs = translation_utils._fix_attribute_names(attrs, {'axes':'axis'})576    return 'norm', new_attrs, inputs577def avg_pooling(attrs, inputs, proto_obj):578    """ Average pooling"""579    new_attrs = translation_utils._fix_attribute_names(attrs,580                                                       {'kernel_shape': 'kernel',581                                                        'strides': 'stride',582                                                        'pads': 'pad',583                                                       })584    new_attrs = translation_utils._add_extra_attributes(new_attrs,585                                                        {'pooling_convention': 'valid'586                                                        })587    new_op = translation_utils._fix_pooling('avg', inputs, new_attrs)588    return new_op, new_attrs, inputs589def lp_pooling(attrs, inputs, proto_obj):590    """LP Pooling"""591    p_value = attrs.get('p', 2)592    new_attrs = translation_utils._fix_attribute_names(attrs,593                                                       {'kernel_shape': 'kernel',594                                                        'strides': 'stride',595                                                        'pads': 'pad'596                                                       })597    new_attrs = translation_utils._remove_attributes(new_attrs, ['p'])598    new_attrs = translation_utils._add_extra_attributes(new_attrs,599                                                        {'pooling_convention': 'valid',600                                                         'p_value': p_value601                                                        })602    new_op = translation_utils._fix_pooling('lp', inputs, new_attrs)603    return new_op, new_attrs, inputs604def max_pooling(attrs, inputs, proto_obj):605    """ Average pooling"""606    new_attrs = translation_utils._fix_attribute_names(attrs,607                                                       {'kernel_shape': 'kernel',608                                                        'strides': 'stride',609                                                        'pads': 'pad',610                                                       })611    new_attrs = translation_utils._add_extra_attributes(new_attrs,612                                                        {'pooling_convention': 'valid'613                                                        })614    new_op = translation_utils._fix_pooling('max', inputs, new_attrs)615    return new_op, new_attrs, inputs616def max_roi_pooling(attrs, inputs, proto_obj):617    """Max ROI Pooling."""618    new_attrs = translation_utils._fix_attribute_names(attrs,619                                                       {'pooled_shape': 'pooled_size',620                                                        'spatial_scale': 'spatial_scale'621                                                       })622    return 'ROIPooling', new_attrs, inputs623def depthtospace(attrs, inputs, proto_obj):624    """Rearranges data from depth into blocks of spatial data."""625    new_attrs = translation_utils._fix_attribute_names(attrs, {'blocksize':'block_size'})626    return "depth_to_space", new_attrs, inputs627def spacetodepth(attrs, inputs, proto_obj):628    """Rearranges blocks of spatial data into depth."""629    new_attrs = translation_utils._fix_attribute_names(attrs, {'blocksize':'block_size'})630    return "space_to_depth", new_attrs, inputs631def hardmax(attrs, inputs, proto_obj):632    """Returns batched one-hot vectors."""633    input_tensor_data = proto_obj.model_metadata.get('input_tensor_data')[0]634    input_shape = input_tensor_data[1]635    axis = int(attrs.get('axis', 1))636    axis = axis if axis >= 0 else len(input_shape) + axis637    if axis == len(input_shape) - 1:638        amax = symbol.argmax(inputs[0], axis=-1)639        one_hot = symbol.one_hot(amax, depth=input_shape[-1])640        return one_hot, attrs, inputs641    # since reshape doesn't take a tensor for shape,642    # computing with np.prod. This needs to be changed to643    # to use mx.sym.prod() when mx.sym.reshape() is fixed.644    # (https://github.com/apache/incubator-mxnet/issues/10789)645    new_shape = (int(np.prod(input_shape[:axis])),646                 int(np.prod(input_shape[axis:])))647    reshape_op = symbol.reshape(inputs[0], new_shape)648    amax = symbol.argmax(reshape_op, axis=-1)649    one_hot = symbol.one_hot(amax, depth=new_shape[-1])650    hardmax_op = symbol.reshape(one_hot, input_shape)651    return hardmax_op, attrs, inputs652def lpnormalization(attrs, inputs, proto_obj):653    """ONNX does not have eps attribute, so cannot map it to L2normalization in MXNet654     without that, it works as norm operator discussion in PR:655     https://github.com/onnx/onnx/pull/1330"""656    new_attrs = translation_utils._fix_attribute_names(attrs, {'p': 'ord'})657    axis = int(attrs.get("axis", -1))658    new_attrs.update(axis=axis)659    return 'norm', new_attrs, inputs660def topk(attrs, inputs, proto_obj):661    """Returns the top k elements in an input array along the given axis."""662    new_attrs = translation_utils._add_extra_attributes(attrs,663                                                        {'ret_typ': 'both',664                                                         'dtype': 'int64'})...

filtereventhandler.py

Source:filtereventhandler.py

...122        removed_attrs = {}123        if isinstance(event, core_events.PortEvent):124            port = event.get_port()125            old_attrs = self._port_attrs.get(port.get_id(), {})126            new_attrs = await port.get_attrs()127            old_value = self._port_values.get(port.get_id())128            new_value = port.get_last_read_value()129            value_pair = (old_value, new_value)130            if isinstance(event, (core_events.PortAdd, core_events.PortUpdate)):131                changed_attrs, added_attrs, removed_attrs = self._make_changed_added_removed(old_attrs, new_attrs)132                self._port_values[port.get_id()] = new_value133                self._port_attrs[port.get_id()] = new_attrs134            elif isinstance(event, core_events.PortRemove):135                self._port_values.pop(port.get_id(), None)136                removed_attrs = self._port_attrs.pop(port.get_id(), {})137            elif isinstance(event, core_events.ValueChange):138                self._port_values[port.get_id()] = new_value139        elif isinstance(event, core_events.DeviceEvent):140            old_attrs = self._device_attrs141            new_attrs = event.get_attrs()142            changed_attrs, added_attrs, removed_attrs = self._make_changed_added_removed(old_attrs, new_attrs)143            self._device_attrs = new_attrs144        elif isinstance(event, slaves_events.SlaveDeviceEvent):145            slave = event.get_slave()146            slave_json = slave.to_json()147            # Flatten slave master properties and attributes148            old_attrs = self._slave_attrs.get(slave.get_name(), {})149            new_attrs = dict(slave_json, **slave_json.pop('attrs'))150            if isinstance(event, (slaves_events.SlaveDeviceAdd, slaves_events.SlaveDeviceUpdate)):151                changed_attrs, added_attrs, removed_attrs = self._make_changed_added_removed(old_attrs, new_attrs)152                self._slave_attrs[slave.get_name()] = new_attrs153            elif isinstance(event, slaves_events.SlaveDeviceRemove):154                removed_attrs = self._slave_attrs.pop(slave.get_name(), {})155        return value_pair, old_attrs, new_attrs, changed_attrs, added_attrs, removed_attrs156    @staticmethod157    def _accepts_attrs(158        attr_names: Set[str],159        filter_attrs: Attributes,160        filter_attr_transitions: Dict[str, Tuple[Attribute, Attribute]],161        old_attrs: Attributes,162        new_attrs: Attributes163    ) -> bool:164        for name in attr_names:165            old_value = old_attrs.get(name)166            new_value = new_attrs.get(name)167            filter_transition = filter_attr_transitions.get(name)168            if filter_transition is not None:169                old_filter_value, new_filter_value = filter_transition170                if ((old_filter_value != old_value and old_filter_value is not None) or171                    (new_filter_value != new_value and new_filter_value is not None)):172                    return False173            filter_value = filter_attrs.get(name)174            if filter_value is not None:175                if isinstance(filter_value, list):  # A list of accepted values176                    if new_value not in filter_value:177                        return False178                elif new_value != filter_value:  # A single value179                    return False180        return True181    async def accepts_device(self, event: core_events.Event, old_attrs: Attributes, new_attrs: Attributes) -> bool:182        return self._accepts_attrs(183            self._filter_device_attr_names,184            self._filter_device_attrs,185            self._filter_device_attr_transitions,186            old_attrs,187            new_attrs188        )189    async def accepts_port_value(190        self,191        event: core_events.Event,192        value_pair: Tuple[NullablePortValue, NullablePortValue]193    ) -> bool:194        old_value, new_value = value_pair195        if self._filter_port_value_transition is not None:196            old_filter_value, new_filter_value = self._filter_port_value_transition197            if ((old_filter_value != old_value and old_filter_value is not None) or198                (new_filter_value != new_value and new_filter_value is not None)):199                return False200        if self._filter_port_value is not None:201            if isinstance(self._filter_port_value, list):  # A list of accepted values202                if new_value not in self._filter_port_value:203                    return False204            elif isinstance(self._filter_port_value, core_expressions.Expression):  # An expression205                if new_value != await self._filter_port_value.eval(context={}):206                    return False207        return True208    async def accepts_port(209        self,210        event: core_events.Event,211        value_pair: Tuple[NullablePortValue, NullablePortValue],212        old_attrs: Attributes,213        new_attrs: Attributes214    ) -> bool:215        if not await self.accepts_port_value(event, value_pair):216            return False217        return self._accepts_attrs(218            self._filter_port_attr_names,219            self._filter_port_attrs,220            self._filter_port_attr_transitions,221            old_attrs,222            new_attrs223        )224    async def accepts_slave(self, event: core_events.Event, old_attrs: Attributes, new_attrs: Attributes) -> bool:225        return self._accepts_attrs(226            self._filter_slave_attr_names,227            self._filter_slave_attrs,228            self._filter_slave_attr_transitions,229            old_attrs,230            new_attrs231        )232    async def accepts(233        self,234        event: core_events.Event,235        value_pair: Tuple[NullablePortValue, NullablePortValue],236        old_attrs: Attributes,237        new_attrs: Attributes,238        changed_attrs: Dict[str, Tuple[Attribute, Attribute]],239        added_attrs: Attributes,...

nvD3AxisConfiguration.js

Source:nvD3AxisConfiguration.js

1function configureXaxis(chart, scope, attrs) {2	if (attrs.xaxisorient) {3		chart.xAxis.orient(attrs.xaxisorient);4	}5	if (attrs.xaxisticks) {6		chart.xAxis.scale().ticks(attrs.xaxisticks);7	}8	if (attrs.xaxistickvalues) {9		if (Array.isArray(scope.$eval(attrs.xaxistickvalues))) {10			chart.xAxis.tickValues(scope.$eval(attrs.xaxistickvalues));11		} else if (typeof scope.xaxistickvalues() === 'function') {12			chart.xAxis.tickValues(scope.xaxistickvalues());13		}14	}15	if (attrs.xaxisticksubdivide) {16		chart.xAxis.tickSubdivide(scope.xaxisticksubdivide());17	}18	if (attrs.xaxisticksize) {19		chart.xAxis.tickSize(scope.xaxisticksize());20	}21	if (attrs.xaxistickpadding) {22		chart.xAxis.tickPadding(scope.xaxistickpadding());23	}24	if (attrs.xaxistickformat) {25		chart.xAxis.tickFormat(scope.xaxistickformat());26	}27	if (attrs.xaxislabel) {28		chart.xAxis.axisLabel(attrs.xaxislabel);29	}30	if (attrs.xaxisscale) {31		chart.xAxis.scale(scope.xaxisscale());32	}33	if (attrs.xaxisdomain) {34		if (Array.isArray(scope.$eval(attrs.xaxisdomain))) {35			chart.xDomain(scope.$eval(attrs.xaxisdomain));36		} else if (typeof scope.xaxisdomain() === 'function') {37			chart.xDomain(scope.xaxisdomain());38		}39	}40	if (attrs.xaxisrange) {41		if (Array.isArray(scope.$eval(attrs.xaxisrange))) {42			chart.xRange(scope.$eval(attrs.xaxisrange));43		} else if (typeof scope.xaxisrange() === 'function') {44			chart.xRange(scope.xaxisrange());45		}46	}47	if (attrs.xaxisrangeband) {48		chart.xAxis.rangeBand(scope.xaxisrangeband());49	}50	if (attrs.xaxisrangebands) {51		chart.xAxis.rangeBands(scope.xaxisrangebands());52	}53	if (attrs.xaxisshowmaxmin) {54		chart.xAxis.showMaxMin((attrs.xaxisshowmaxmin === 'true'));55	}56	if (attrs.xaxishighlightzero) {57		chart.xAxis.highlightZero((attrs.xaxishighlightzero === 'true'));58	}59	if (attrs.xaxisrotatelabels) {60		chart.xAxis.rotateLabels((+attrs.xaxisrotatelabels));61	}62	//    if(attrs.xaxisrotateylabel){63	//        chart.xAxis.rotateYLabel((attrs.xaxisrotateylabel === "true"));64	//    }65	if (attrs.xaxisstaggerlabels) {66		chart.xAxis.staggerLabels((attrs.xaxisstaggerlabels === 'true'));67	}68	if (attrs.xaxislabeldistance) {69		chart.xAxis.axisLabelDistance((+attrs.xaxislabeldistance));70	}71}72function configureX2axis (chart, scope, attrs) {73	if (attrs.x2axisorient) {74		chart.x2Axis.orient(attrs.x2axisorient);75	}76	if (attrs.x2axisticks) {77		chart.x2Axis.scale().ticks(attrs.x2axisticks);78	}79	if (attrs.x2axistickvalues) {80		if (Array.isArray(scope.$eval(attrs.x2axistickvalues))) {81			chart.x2Axis.tickValues(scope.$eval(attrs.x2axistickvalues));82		} else if (typeof scope.xaxistickvalues() === 'function') {83			chart.x2Axis.tickValues(scope.x2axistickvalues());84		}85	}86	if (attrs.x2axisticksubdivide) {87		chart.x2Axis.tickSubdivide(scope.x2axisticksubdivide());88	}89	if (attrs.x2axisticksize) {90		chart.x2Axis.tickSize(scope.x2axisticksize());91	}92	if (attrs.x2axistickpadding) {93		chart.x2Axis.tickPadding(scope.x2axistickpadding());94	}95	if (attrs.x2axistickformat) {96		chart.x2Axis.tickFormat(scope.x2axistickformat());97	}98	if (attrs.x2axislabel) {99		chart.x2Axis.axisLabel(attrs.x2axislabel);100	}101	if (attrs.x2axisscale) {102		chart.x2Axis.scale(scope.x2axisscale());103	}104	if (attrs.x2axisdomain) {105		if (Array.isArray(scope.$eval(attrs.x2axisdomain))) {106			chart.x2Axis.domain(scope.$eval(attrs.x2axisdomain));107		} else if (typeof scope.x2axisdomain() === 'function') {108			chart.x2Axis.domain(scope.x2axisdomain());109		}110	}111	if (attrs.x2axisrange) {112		if (Array.isArray(scope.$eval(attrs.x2axisrange))) {113			chart.x2Axis.range(scope.$eval(attrs.x2axisrange));114		} else if (typeof scope.x2axisrange() === 'function') {115			chart.x2Axis.range(scope.x2axisrange());116		}117	}118	if (attrs.x2axisrangeband) {119		chart.x2Axis.rangeBand(scope.x2axisrangeband());120	}121	if (attrs.x2axisrangebands) {122		chart.x2Axis.rangeBands(scope.x2axisrangebands());123	}124	if (attrs.x2axisshowmaxmin) {125		chart.x2Axis.showMaxMin((attrs.x2axisshowmaxmin === 'true'));126	}127	if (attrs.x2axishighlightzero) {128		chart.x2Axis.highlightZero((attrs.x2axishighlightzero === 'true'));129	}130	if (attrs.x2axisrotatelables) {131		chart.x2Axis.rotateLabels((+attrs.x2axisrotatelables));132	}133	//    if(attrs.xaxisrotateylabel){134	//        chart.xAxis.rotateYLabel((attrs.xaxisrotateylabel === "true"));135	//    }136	if (attrs.x2axisstaggerlabels) {137		chart.x2Axis.staggerLabels((attrs.x2axisstaggerlabels === 'true'));138	}139	if (attrs.x2axislabeldistance) {140		chart.x2Axis.axisLabelDistance((+attrs.x2axislabeldistance));141	}142}143function configureYaxis (chart, scope, attrs) {144	if (attrs.yaxisorient) {145		chart.yAxis.orient(attrs.yaxisorient);146	}147	if (attrs.yaxisticks) {148		chart.yAxis.scale().ticks(attrs.yaxisticks);149	}150	if (attrs.yaxistickvalues) {151		if (Array.isArray(scope.$eval(attrs.yaxistickvalues))) {152			chart.yAxis.tickValues(scope.$eval(attrs.yaxistickvalues));153		} else if (typeof scope.yaxistickvalues() === 'function') {154			chart.yAxis.tickValues(scope.yaxistickvalues());155		}156	}157	if (attrs.yaxisticksubdivide) {158		chart.yAxis.tickSubdivide(scope.yaxisticksubdivide());159	}160	if (attrs.yaxisticksize) {161		chart.yAxis.tickSize(scope.yaxisticksize());162	}163	if (attrs.yaxistickpadding) {164		chart.yAxis.tickPadding(scope.yaxistickpadding());165	}166	if (attrs.yaxistickformat) {167		chart.yAxis.tickFormat(scope.yaxistickformat());168	}169	if (attrs.yaxislabel) {170		chart.yAxis.axisLabel(attrs.yaxislabel);171	}172	if (attrs.yaxisscale) {173		chart.yAxis.scale(scope.yaxisscale());174	}175	if (attrs.yaxisdomain) {176		if (Array.isArray(scope.$eval(attrs.yaxisdomain))) {177			chart.yDomain(scope.$eval(attrs.yaxisdomain));178		} else if (typeof scope.yaxisdomain() === 'function') {179			chart.yDomain(scope.yaxisdomain());180		}181	}182	if (attrs.yaxisrange) {183		if (Array.isArray(scope.$eval(attrs.yaxisrange))) {184			chart.yRange(scope.$eval(attrs.yaxisrange));185		} else if (typeof scope.yaxisrange() === 'function') {186			chart.yRange(scope.yaxisrange());187		}188	}189	if (attrs.yaxisrangeband) {190		chart.yAxis.rangeBand(scope.yaxisrangeband());191	}192	if (attrs.yaxisrangebands) {193		chart.yAxis.rangeBands(scope.yaxisrangebands());194	}195	if (attrs.yaxisshowmaxmin) {196		chart.yAxis.showMaxMin((attrs.yaxisshowmaxmin === 'true'));197	}198	if (attrs.yaxishighlightzero) {199		chart.yAxis.highlightZero((attrs.yaxishighlightzero === 'true'));200	}201	if (attrs.yaxisrotatelabels) {202		chart.yAxis.rotateLabels((+attrs.yaxisrotatelabels));203	}204	if (attrs.yaxisrotateylabel) {205		chart.yAxis.rotateYLabel((attrs.yaxisrotateylabel === 'true'));206	}207	if (attrs.yaxisstaggerlabels) {208		chart.yAxis.staggerLabels((attrs.yaxisstaggerlabels === 'true'));209	}210	if (attrs.yaxislabeldistance) {211		chart.yAxis.axisLabelDistance((+attrs.yaxislabeldistance));212	}213}214function configureY1axis (chart, scope, attrs) {215	if (attrs.y1axisticks) {216		chart.y1Axis.scale().ticks(attrs.y1axisticks);217	}218	if (attrs.y1axistickvalues) {219		if (Array.isArray(scope.$eval(attrs.y1axistickvalues))) {220			chart.y1Axis.tickValues(scope.$eval(attrs.y1axistickvalues));221		} else if (typeof scope.y1axistickvalues() === 'function') {222			chart.y1Axis.tickValues(scope.y1axistickvalues());223		}224	}225	if (attrs.y1axisticksubdivide) {226		chart.y1Axis.tickSubdivide(scope.y1axisticksubdivide());227	}228	if (attrs.y1axisticksize) {229		chart.y1Axis.tickSize(scope.y1axisticksize());230	}231	if (attrs.y1axistickpadding) {232		chart.y1Axis.tickPadding(scope.y1axistickpadding());233	}234	if (attrs.y1axistickformat) {235		chart.y1Axis.tickFormat(scope.y1axistickformat());236	}237	if (attrs.y1axislabel) {238		chart.y1Axis.axisLabel(attrs.y1axislabel);239	}240	if (attrs.y1axisscale) {241		chart.y1Axis.yScale(scope.y1axisscale());242	}243	if (attrs.y1axisdomain) {244		if (Array.isArray(scope.$eval(attrs.y1axisdomain))) {245			chart.y1Axis.domain(scope.$eval(attrs.y1axisdomain));246		} else if (typeof scope.y1axisdomain() === 'function') {247			chart.y1Axis.domain(scope.y1axisdomain());248		}249	}250	if (attrs.y1axisrange) {251		if (Array.isArray(scope.$eval(attrs.y1axisrange))) {252			chart.y1Axis.range(scope.$eval(attrs.y1axisrange));253		} else if (typeof scope.y1axisrange() === 'function') {254			chart.y1Axis.range(scope.y1axisrange());255		}256	}257	if (attrs.y1axisrangeband) {258		chart.y1Axis.rangeBand(scope.y1axisrangeband());259	}260	if (attrs.y1axisrangebands) {261		chart.y1Axis.rangeBands(scope.y1axisrangebands());262	}263	if (attrs.y1axisshowmaxmin) {264		chart.y1Axis.showMaxMin((attrs.y1axisshowmaxmin === 'true'));265	}266	if (attrs.y1axishighlightzero) {267		chart.y1Axis.highlightZero((attrs.y1axishighlightzero === 'true'));268	}269	if (attrs.y1axisrotatelabels) {270		chart.y1Axis.rotateLabels((+scope.y1axisrotatelabels));271	}272	if (attrs.y1axisrotateylabel) {273		chart.y1Axis.rotateYLabel((attrs.y1axisrotateylabel === 'true'));274	}275	if (attrs.y1axisstaggerlabels) {276		chart.y1Axis.staggerlabels((attrs.y1axisstaggerlabels === 'true'));277	}278	if (attrs.y1axislabeldistance) {279		chart.y1Axis.axisLabelDistance((+attrs.y1axislabeldistance));280	}281}282function configureY2axis (chart, scope, attrs) {283	if (attrs.y2axisticks) {284		chart.y2Axis.scale().ticks(attrs.y2axisticks);285	}286	if (attrs.y2axistickvalues) {287		chart.y2Axis.tickValues(scope.$eval(attrs.y2axistickvalues));288	}289	if (attrs.y2axisticksubdivide) {290		chart.y2Axis.tickSubdivide(scope.y2axisticksubdivide());291	}292	if (attrs.y2axisticksize) {293		chart.y2Axis.tickSize(scope.y2axisticksize());294	}295	if (attrs.y2axistickpadding) {296		chart.y2Axis.tickPadding(scope.y2axistickpadding());297	}298	if (attrs.y2axistickformat) {299		chart.y2Axis.tickFormat(scope.y2axistickformat());300	}301	if (attrs.y2axislabel) {302		chart.y2Axis.axisLabel(attrs.y2axislabel);303	}304	if (attrs.y2axisscale) {305		chart.y2Axis.yScale(scope.y2axisscale());306	}307	if (attrs.y2axisdomain) {308		if (Array.isArray(scope.$eval(attrs.y2axisdomain))) {309			chart.y2Axis.domain(scope.$eval(attrs.y2axisdomain));310		} else if (typeof scope.y2axisdomain() === 'function') {311			chart.y2Axis.domain(scope.y2axisdomain());312		}313	}314	if (attrs.y2axisrange) {315		if (Array.isArray(scope.$eval(attrs.y2axisrange))) {316			chart.y2Axis.range(scope.$eval(attrs.y2axisrange));317		} else if (typeof scope.y2axisrange() === 'function') {318			chart.y2Axis.range(scope.y2axisrange());319		}320	}321	if (attrs.y2axisrangeband) {322		chart.y2Axis.rangeBand(scope.y2axisrangeband());323	}324	if (attrs.y2axisrangebands) {325		chart.y2Axis.rangeBands(scope.y2axisrangebands());326	}327	if (attrs.y2axisshowmaxmin) {328		chart.y2Axis.showMaxMin((attrs.y2axisshowmaxmin === 'true'));329	}330	if (attrs.y2axishighlightzero) {331		chart.y2Axis.highlightZero((attrs.y2axishighlightzero === 'true'));332	}333	if (attrs.y2axisrotatelabels) {334		chart.y2Axis.rotateLabels((+scope.y2axisrotatelabels));335	}336	if (attrs.y2axisrotateylabel) {337		chart.y2Axis.rotateYLabel((attrs.y2axisrotateylabel === 'true'));338	}339	if (attrs.y2axisstaggerlabels) {340		chart.y2Axis.staggerlabels((attrs.y2axisstaggerlabels === 'true'));341	}342	if (attrs.y2axislabeldistance) {343		chart.y2Axis.axisLabelDistance((+attrs.y2axislabeldistance));344	}...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.