stats_server/views/statics/vendors/3d/d3.js
function d3_svg_linePoints(self, d, x, y) {
  var points = [],
      i = -1,
      n = d.length,
      fx = typeof x === "function",
      fy = typeof y === "function",
      value;
  if (fx && fy) {
    while (++i < n) points.push([
      x.call(self, value = d[i], i),
      y.call(self, value, i)
    ]);
  } else if (fx) {
    while (++i < n) points.push([x.call(self, d[i], i), y]);
  } else if (fy) {
    while (++i < n) points.push([x, y.call(self, d[i], i)]);
  } else {
    while (++i < n) points.push([x, y]);
  }
  return points;
}
function d3_svg_linePoints(self, d, x, y) {
  var points = [],
      i = -1,
      n = d.length,
      fx = typeof x === "function",
      fy = typeof y === "function",
      value;
  if (fx && fy) {
    while (++i < n) points.push([
      x.call(self, value = d[i], i),
      y.call(self, value, i)
    ]);
  } else if (fx) {
    while (++i < n) points.push([x.call(self, d[i], i), y]);
  } else if (fy) {
    while (++i < n) points.push([x, y.call(self, d[i], i)]);
  } else {
    while (++i < n) points.push([x, y]);
  }
  return points;
}
function d3_svg_linePoints ( self , d , x , y ) { var points = [ ] , i = - 1 , n = d . length , fx = typeof x === "function" , fy = typeof y === "function" , value ; if ( fx && fy ) { while ( ++ i < n ) points . push ( [ x . call ( self , value = d [ i ] , i ) , y . call ( self , value , i ) ] ) ; } else if ( fx ) { while ( ++ i < n ) points . push ( [ x . call ( self , d [ i ] , i ) , y ] ) ; } else if ( fy ) { while ( ++ i < n ) points . push ( [ x , y . call ( self , d [ i ] , i ) ] ) ; } else { while ( ++ i < n ) points . push ( [ x , y ] ) ; } return points ; }
Converts the specified array of data into an array of points (x-y tuples), by evaluating the specified `x` and `y` functions on each data point. The `this` context of the evaluated functions is the specified "self" object; each function is passed the current datum and index.
Converts the specified array of data into an array of points ( x - y tuples ) by evaluating the specified x and y functions on each data point . The this context of the evaluated functions is the specified self object ; each function is passed the current datum and index .