1 files changed, 0 insertions, 98 deletions
diff --git a/contexts/data/lib/closure-library/closure/goog/testing/pseudorandom_test.html b/contexts/data/lib/closure-library/closure/goog/testing/pseudorandom_test.html
deleted file mode 100644
index 62d0261..0000000
--- a/contexts/data/lib/closure-library/closure/goog/testing/pseudorandom_test.html
+++ /dev/null
@@ -1,98 +0,0 @@
-<!DOCTYPE html>
-<html>
-<!--
-Copyright 2009 The Closure Library Authors. All Rights Reserved.
-
-Use of this source code is governed by the Apache License, Version 2.0.
-See the COPYING file for details.
--->
-<head>
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<title>Closure Unit Tests - goog.testing.PseudoRandom</title>
-<script src="../base.js"></script>
-<script>
-  goog.require('goog.testing.PseudoRandom');
-  goog.require('goog.testing.jsunit');
-</script>
-</head>
-<body>
-<script>
-
-  function runFairnessTest(sides, rolls, chiSquareLimit) {
-    // Initialize the count table for dice rolls.
-    var counts = [];
-    for (var i = 0; i < sides; ++i) {
-      counts[i] = 0;
-    }
-    // Roll the dice many times and count the results.
-    for (var i = 0; i < rolls; ++i) {
-      ++counts[Math.floor(Math.random() * sides)];
-    }
-    // If the dice is fair, we expect a uniform distribution.
-    var expected = rolls / sides;
-    // Pearson's chi-square test for a distribution fit.
-    var chiSquare = 0
-    for (var i = 0; i < sides; ++i) {
-      chiSquare += (counts[i] - expected) * (counts[i] - expected) / expected;
-    }
-    assert('Chi-square test for a distribution fit failed',
-        chiSquare < chiSquareLimit);
-  }
-
-  function testInstall() {
-    var random = new goog.testing.PseudoRandom();
-    var originalRandom = Math.random;
-
-    assertFalse(!!random.installed_);
-
-    random.install();
-    assertTrue(random.installed_);
-    assertNotEquals(Math.random, originalRandom);
-
-    random.uninstall();
-    assertFalse(random.installed_);
-    assertEquals(originalRandom, Math.random);
-  }
-
-  function testBounds() {
-    var random = new goog.testing.PseudoRandom();
-    random.install();
-
-    for (var i = 0; i < 100000; ++i) {
-      var value = Math.random();
-      assert('Random value out of bounds', value >= 0 && value < 1);
-    }
-
-    random.uninstall();
-  }
-
-  function testFairness() {
-    var random = new goog.testing.PseudoRandom(0, true);
-
-    // Chi-square statistics: p-value = 0.05, df = 5, limit = 11.07.
-    runFairnessTest(6, 100000, 11.07);
-    // Chi-square statistics: p-value = 0.05, df = 100, limit = 124.34.
-    runFairnessTest(101, 100000, 124.34);
-
-    random.uninstall();
-  }
-
-  function testReseed() {
-    var random = new goog.testing.PseudoRandom(100, true);
-
-    var sequence = [];
-    for (var i = 0; i < 64000; ++i) {
-      sequence.push(Math.random());
-    }
-
-    random.seed(100);
-    for (var i = 0; i < sequence.length; ++i) {
-      assertEquals(sequence[i], Math.random());
-    }
-
-    random.uninstall();
-  }
-
-</script>
-</body>
-</html>