"""
## Automatically adapted for numpy.oldnumeric Jun 27, 2008 by -c

# $Id$
#
#  Copyright (C) 2004  Rational Discovery LLC
#         All Rights Reserved
#

Replaced numpy.oldnumeric with numpy methods - Jan 2015, PGedeck
"""
#pylint: disable=E1101,C0111,R0904
import unittest
import numpy as np
from rdkit import DistanceGeometry as DG


def feq(v1, v2, tol2=1e-4):
  return abs(v1 - v2) <= tol2


class TestCase(unittest.TestCase):

  def setUp(self):
    pass

  def test1SmoothPass(self):
    arr = np.array([[0, 1.0, 5.0], [1.0, 0, 1.0], [0.0, 1.0, 0]], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    self.assertTrue(feq(arr[0, 2], 2.0))
    self.assertTrue(feq(arr[2, 0], 0.0))
    self.assertTrue(feq(arr[0, 1], 1.0))
    self.assertTrue(feq(arr[1, 0], 1.0))
    self.assertTrue(feq(arr[1, 2], 1.0))

  def test2SmoothFail(self):
    arr = np.array([[0, 1.0, 5.0], [1.0, 0, 1.0], [3.0, 1.0, 0]], np.float)
    self.assertFalse(DG.DoTriangleSmoothing(arr))

  def test3SmoothPass(self):
    arr = np.array([[0, 1.1, 5.0], [0.9, 0, 1.1], [0.0, 0.9, 0]], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    self.assertTrue(feq(arr[0, 2], 2.2))
    self.assertTrue(feq(arr[2, 0], 0.0))
    self.assertTrue(feq(arr[0, 1], 1.1))
    self.assertTrue(feq(arr[1, 0], 0.9))
    self.assertTrue(feq(arr[1, 2], 1.1))

  def test4Embed(self):
    arr = np.array([[0, 1.0, 5.0], [1.0, 0, 1.0], [0.0, 1.0, 0]], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    coords = DG.EmbedBoundsMatrix(arr, randomSeed=100)
    v1 = coords[0] - coords[1]
    v2 = coords[1] - coords[2]
    d1 = np.dot(v1, v1)
    self.assertTrue(feq(d1, 1.0, 0.001))
    d2 = np.dot(v2, v2)
    self.assertTrue(feq(d2, 1.0, 0.001))

  def test5EmbedFail(self):
    arr = np.array([[0, 1.0, 5.0], [1.0, 0, 1.0], [3.0, 1.0, 0]], np.float)
    self.assertRaises(ValueError, lambda: DG.EmbedBoundsMatrix(arr))
    #DG.EmbedBoundsMatrix(arr,randomizeOnFailure=0,randomSeed=1)
    DG.EmbedBoundsMatrix(arr, randomizeOnFailure=1)

  def test6EmbedConstraints(self):
    arr = np.array([[0.0, 1.0, 1.0], [1.0, 0.0, 1.0], [0.99, 1.0, 0.0]], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    coords = DG.EmbedBoundsMatrix(arr, randomSeed=100)
    v1 = coords[0] - coords[1]
    v2 = coords[1] - coords[2]
    d1 = np.dot(v1, v1)

    self.assertTrue(feq(d1, 1.0, 2e-3))
    d2 = np.dot(v2, v2)
    self.assertTrue(feq(d2, 1.0, 2e-3))
    arr = np.array([[0.0, 1.0, 1.0, 1.01], [1.0, 0.0, 1.0, 1.0], [1.0, 1.0, 0.0, 1.0],
                    [0.99, 1.0, 1.0, 0.0]], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    coords = DG.EmbedBoundsMatrix(arr)
    v1 = coords[0] - coords[1]
    v2 = coords[1] - coords[2]
    d1 = np.dot(v1, v1)
    self.assertTrue(feq(d1, 1.0, 1e-3))
    d2 = np.dot(v2, v2)
    self.assertTrue(feq(d2, 1.0, 1e-3))

    return
    # this test is currently (rev:4769) passing on windows and
    # failing on linux.  It's kind of dependent on fp precision, so
    # it's probably ok to ditch it.
    arr = np.array([[0.0, 1.0, 1.0, 1.0],
                    [1.0, 0.0, 1.0, 1.0],
                    [1.0, 1.0, 0.0, 1.0],
                    [1.0, 1.0, 1.0, 0.0], ], np.float)
    self.assertTrue(DG.DoTriangleSmoothing(arr))
    coords = DG.EmbedBoundsMatrix(arr, randomSeed=100)
    v1 = coords[0] - coords[1]
    v2 = coords[1] - coords[2]
    d1 = np.dot(v1, v1)
    self.assertTrue(feq(d1, 1.0, 1e-3))
    d2 = np.dot(v2, v2)
    self.assertTrue(feq(d2, 1.0, 1e-3))


if __name__ == '__main__':
  unittest.main()
