X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;ds=sidebyside;f=auto_tests%2Ftests%2Ferror_bars.js;h=4a1d10a12085b1049f6938361a638da5feeb01f9;hb=89fdcedbda6906d90e15d84285c4f6c0b8d96d28;hp=8adc0755909771c9f094b86bfabbc99c4b2e4d22;hpb=319d0361d2e512ed8049dfedffd79254e491201c;p=dygraphs.git

diff --git a/auto_tests/tests/error_bars.js b/auto_tests/tests/error_bars.js
index 8adc075..4a1d10a 100644
--- a/auto_tests/tests/error_bars.js
+++ b/auto_tests/tests/error_bars.js
@@ -3,25 +3,25 @@
  *
  * @author danvk@google.com (Dan Vanderkam)
  */
-var errorBarsTestCase = TestCase("error-bars");
+describe("error-bars", function() {
 
-errorBarsTestCase.prototype.setUp = function() {
+beforeEach(function() {
   document.body.innerHTML = "<div id='graph'></div>";
-};
+});
 
 var _origFunc = Dygraph.getContext;
-errorBarsTestCase.prototype.setUp = function() {
+beforeEach(function() {
   document.body.innerHTML = "<div id='graph'></div>";
   Dygraph.getContext = function(canvas) {
     return new Proxy(_origFunc(canvas));
   }
-};
+});
 
-errorBarsTestCase.prototype.tearDown = function() {
+afterEach(function() {
   Dygraph.getContext = _origFunc;
-};
+});
 
-errorBarsTestCase.prototype.testErrorBarsDrawn = function() {
+it('testErrorBarsDrawn', function() {
   var opts = {
     width: 480,
     height: 320,
@@ -53,7 +53,7 @@ errorBarsTestCase.prototype.testErrorBarsDrawn = function() {
   var graph = document.getElementById("graph");
   var g = new Dygraph(graph, data, opts);
 
-  htx = g.hidden_ctx_;
+  var htx = g.hidden_ctx_;
 
   var attrs = {};  // TODO(danvk): fill in
 
@@ -94,9 +94,9 @@ errorBarsTestCase.prototype.testErrorBarsDrawn = function() {
   }
   g.destroy(); // Restore balanced saves and restores.
   CanvasAssertions.assertBalancedSaveRestore(htx);
-};
+});
 
-errorBarsTestCase.prototype.testErrorBarsCorrectColors = function() {
+it('testErrorBarsCorrectColors', function() {
   // Two constant series with constant error.
   var data = [
     [0, [100, 50], [200, 50]],
@@ -137,15 +137,15 @@ errorBarsTestCase.prototype.testErrorBarsCorrectColors = function() {
   // 249-299: empty (white)
   // TODO(danvk): test the edges of these regions.
 
-  assertEquals([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 75));
-  assertEquals([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 125));
-  assertEquals([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 175));
-  assertEquals([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 225));
-};
+  assert.deepEqual([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 75));
+  assert.deepEqual([0, 0, 255, 38], Util.samplePixel(g.hidden_, 200, 125));
+  assert.deepEqual([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 175));
+  assert.deepEqual([0, 255, 0, 38], Util.samplePixel(g.hidden_, 200, 225));
+});
 
 
 // Regression test for http://code.google.com/p/dygraphs/issues/detail?id=392
-errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() {
+it('testRollingAveragePreservesNaNs', function() {
   var graph = document.getElementById("graph");
   var data = 
     [
@@ -169,18 +169,20 @@ errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() {
 
   var in_series = g.dataHandler_.extractSeries(data, 1, g.attributes_);
 
-  assertEquals(null, in_series[4][1]);
-  assertEquals(null, in_series[4][2][0]);
-  assertEquals(null, in_series[4][2][1]);
-  assertNaN(in_series[5][1]);
-  assertNaN(in_series[5][2][0]);
-  assertNaN(in_series[5][2][1]);
+  assert.equal(null, in_series[4][1]);
+  assert.equal(null, in_series[4][2][0]);
+  assert.equal(null, in_series[4][2][1]);
+  assert.isNaN(in_series[5][1]);
+  assert.isNaN(in_series[5][2][0]);
+  assert.isNaN(in_series[5][2][1]);
 
   var out_series = g.dataHandler_.rollingAverage(in_series, 1, g.attributes_);
-  assertNaN(out_series[5][1]);
-  assertNaN(out_series[5][2][0]);
-  assertNaN(out_series[5][2][1]);
-  assertEquals(null, out_series[4][1]);
-  assertEquals(null, out_series[4][2][0]);
-  assertEquals(null, out_series[4][2][1]);
-};
+  assert.isNaN(out_series[5][1]);
+  assert.isNaN(out_series[5][2][0]);
+  assert.isNaN(out_series[5][2][1]);
+  assert.equal(null, out_series[4][1]);
+  assert.equal(null, out_series[4][2][0]);
+  assert.equal(null, out_series[4][2][1]);
+});
+
+});