Delete tools/telemetry.

tools/telemetry/telemetry/internal/image_processing/cv_util_unittest.py

Index: tools/telemetry/telemetry/internal/image_processing/cv_util_unittest.py
diff --git a/tools/telemetry/telemetry/internal/image_processing/cv_util_unittest.py b/tools/telemetry/telemetry/internal/image_processing/cv_util_unittest.py
deleted file mode 100644
index d5d5cd75bac5248c6ea8fa1c042a68091c113313..0000000000000000000000000000000000000000
--- a/tools/telemetry/telemetry/internal/image_processing/cv_util_unittest.py
+++ /dev/null
@@ -1,114 +0,0 @@
-# Copyright 2014 The Chromium Authors. All rights reserved.
-# Use of this source code is governed by a BSD-style license that can be
-# found in the LICENSE file.
-
-import unittest
-
-from telemetry.internal.util import external_modules
-
-try:
-  np = external_modules.ImportRequiredModule('numpy')
-except ImportError:
-  pass
-else:
-  class CVUtilTest(unittest.TestCase):
-    def __init__(self, *args, **kwargs):
-      super(CVUtilTest, self).__init__(*args, **kwargs)
-      # Import modules with dependencies that may not be preset in test setup so
-      # that importing this unit test doesn't cause the test runner to raise an
-      # exception.
-      from telemetry.internal.image_processing import cv_util
-      self.cv_util = cv_util
-
-    def testAreLinesOrthogonalish(self):
-      l1 = np.asfarray((0, 0, 1, 0))
-      l2 = np.asfarray((0, 0, 0, 1))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l1, l2, 0))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l2, l1, 0))
-      self.assertFalse(self.cv_util.AreLinesOrthogonal(l1, l1,
-                                                       np.pi / 2 - 1e-10))
-      self.assertFalse(self.cv_util.AreLinesOrthogonal(l2, l2,
-                                                       np.pi / 2 - 1e-10))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l1, l1, np.pi / 2))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l2, l2, np.pi / 2))
-
-      l3 = np.asfarray((0, 0, 1, 1))
-      l4 = np.asfarray((1, 1, 0, 0))
-      self.assertFalse(self.cv_util.AreLinesOrthogonal(l3, l4,
-                                                       np.pi / 2 - 1e-10))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l3, l1, np.pi / 4))
-
-      l5 = np.asfarray((0, 1, 1, 0))
-      self.assertTrue(self.cv_util.AreLinesOrthogonal(l3, l5, 0))
-
-    def testFindLineIntersection(self):
-      l1 = np.asfarray((1, 1, 2, 1))
-      l2 = np.asfarray((1, 1, 1, 2))
-      ret, p = self.cv_util.FindLineIntersection(l1, l2)
-      self.assertTrue(ret)
-      self.assertTrue(np.array_equal(p, np.array([1, 1])))
-      l3 = np.asfarray((1.1, 1, 2, 1))
-      ret, p = self.cv_util.FindLineIntersection(l2, l3)
-      self.assertFalse(ret)
-      self.assertTrue(np.array_equal(p, np.array([1, 1])))
-      l4 = np.asfarray((2, 1, 1, 1))
-      l5 = np.asfarray((1, 2, 1, 1))
-      ret, p = self.cv_util.FindLineIntersection(l4, l5)
-      self.assertTrue(ret)
-      self.assertTrue(np.array_equal(p, np.array([1, 1])))
-      l6 = np.asfarray((1, 1, 0, 0))
-      l7 = np.asfarray((0, 1, 1, 0))
-      ret, p = self.cv_util.FindLineIntersection(l7, l6)
-      self.assertTrue(ret)
-      self.assertTrue(np.array_equal(p, np.array([0.5, 0.5])))
-      l8 = np.asfarray((0, 0, 0, 1))
-      l9 = np.asfarray((1, 0, 1, 1))
-      ret, p = self.cv_util.FindLineIntersection(l8, l9)
-      self.assertFalse(ret)
-      self.assertTrue(np.isnan(p[0]))
-
-    def testExtendLines(self):
-      l1 = (-1, 0, 1, 0)
-      l2 = (0, -1, 0, 1)
-      l3 = (4, 4, 6, 6)
-      l4 = (1, 1, 1, 1)
-      lines = self.cv_util.ExtendLines(np.asfarray([l1, l2, l3, l4],
-                                                   dtype=np.float64), 10)
-      lines = np.around(lines, 10)
-      expected0 = ((5.0, 0.0, -5.0, 0.0))
-      self.assertAlmostEqual(np.sum(np.abs(np.subtract(lines[0], expected0))),
-                             0.0, 7)
-      expected1 = ((0.0, 5.0, 0.0, -5.0))
-      self.assertAlmostEqual(np.sum(np.abs(np.subtract(lines[1], expected1))),
-                             0.0, 7)
-
-      off = np.divide(np.sqrt(50), 2, dtype=np.float64)
-      expected2 = ((5 + off, 5 + off, 5 - off, 5 - off))
-      self.assertAlmostEqual(np.sum(np.abs(np.subtract(lines[2], expected2))),
-                             0.0, 7)
-      expected3 = ((-4, 1, 6, 1))
-      self.assertAlmostEqual(np.sum(np.abs(np.subtract(lines[3], expected3))),
-                             0.0, 7)
-
-    def testIsPointApproxOnLine(self):
-      p1 = np.asfarray((-1, -1))
-      l1 = np.asfarray((0, 0, 100, 100))
-      p2 = np.asfarray((1, 2))
-      p3 = np.asfarray((2, 1))
-      p4 = np.asfarray((3, 1))
-      self.assertTrue(self.cv_util.IsPointApproxOnLine(p1, l1, 1 + 1e-7))
-      self.assertTrue(self.cv_util.IsPointApproxOnLine(p2, l1, 1 + 1e-7))
-      self.assertTrue(self.cv_util.IsPointApproxOnLine(p3, l1, 1 + 1e-7))
-      self.assertFalse(self.cv_util.IsPointApproxOnLine(p4, l1, 1 + 1e-7))
-
-    def testSqDistances(self):
-      p1 = np.array([[0, 2], [0, 3]])
-      p2 = np.array([2, 0])
-      dists = self.cv_util.SqDistance(p1, p2)
-      self.assertEqual(dists[0], 8)
-      self.assertEqual(dists[1], 13)
-
-    def testSqDistance(self):
-      p1 = np.array([0, 2])
-      p2 = np.array([2, 0])
-      self.assertEqual(self.cv_util.SqDistance(p1, p2), 8)