Revert of Iteratively increase sample size for good/bad classification.

scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_test.py

-#!/usr/bin/env python
-"""Tests for significantly_different."""
-
-import os
-import sys
-import unittest
-
-# pylint: disable=relative-import
-import significantly_different
-
-
-class SignificantlyDifferentTest(unittest.TestCase):
-
-  def setUp(self):
-    self.conda_path = None
-    try:
-      import scipy  # pylint: disable=unused-variable
-      self.conda_path = sys.executable
-    except ImportError:
-      if os.path.exists(os.path.expanduser('~/conda-test/bin/python')):
-        self.conda_path = os.path.expanduser('~/conda-test/bin/python')
-
-  def test_basic_case(self):
-    try:
-      results = significantly_different.main(
-          ['', '[1, 2, 3, 3, 2, 1]', '[1, 2, 2, 2, 5, 0]', '0.05'],
-          self.conda_path)
-    except significantly_different.ScipyNotInstalledError:
-      # This is meant to let presubmit pass on CQ bots :( because they don't
-      # have scipy either directly or thorugh anaconda.
-      return
-
-    self.assertAlmostEqual(
-        0.40073980338363635,
-        results['mann_p_value'])
-
-if __name__ == '__main__':
-  unittest.main()