text: # -*- coding: utf-8 -*-
  """
  Defines the unit tests for the :mod:`colour.models.jzazbz` module.
  """
  
  import numpy as np
  import unittest
  from itertools import permutations
  
  from colour.models import (
      XYZ_to_Izazbz,
      Izazbz_to_XYZ,
      XYZ_to_Jzazbz,
      Jzazbz_to_XYZ,
  )
  from colour.utilities import domain_range_scale, ignore_numpy_errors
  
  __author__ = 'Colour Developers'
  __copyright__ = 'Copyright (C) 2013-2021 - Colour Developers'
  __license__ = 'New BSD License - https://opensource.org/licenses/BSD-3-Clause'
  __maintainer__ = 'Colour Developers'
  __email__ = 'colour-developers@colour-science.org'
  __status__ = 'Production'
  
  __all__ = [
      'TestXYZ_to_Izazbz',
      'TestIzazbz_to_XYZ',
      'TestXYZ_to_Jzazbz',
      'TestJzazbz_to_XYZ',
  ]
  
  
  class TestXYZ_to_Izazbz(unittest.TestCase):
      """
      Defines :func:`colour.models.jzazbz.TestXYZ_to_Izazbz` definition unit
      tests methods.
      """
  
      def test_XYZ_to_Izazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition.
          """
  
          np.testing.assert_almost_equal(
              XYZ_to_Izazbz(np.array([0.20654008, 0.12197225, 0.05136952])),
              np.array([0.01207793, 0.00924302, 0.00526007]),
              decimal=7)
  
          np.testing.assert_almost_equal(
              XYZ_to_Izazbz(np.array([0.14222010, 0.23042768, 0.10495772])),
              np.array([0.01397346, -0.00608426, 0.00534077]),
              decimal=7)
  
          np.testing.assert_almost_equal(
              XYZ_to_Izazbz(np.array([0.96907232, 1.00000000, 1.12179215])),
              np.array([0.03927203, 0.00064174, -0.00052906]),
              decimal=7)
  
          np.testing.assert_almost_equal(
              XYZ_to_Izazbz(
                  np.array([0.20654008, 0.12197225, 0.05136952]),
                  method='Safdar 2021'),
              np.array([0.01049146, 0.00924302, 0.00526007]),
              decimal=7)
  
          np.testing.assert_array_equal(
              XYZ_to_Izazbz(
                  np.array([0.20654008, 0.12197225, 0.05136952]),
                  method='Safdar 2021'),
              XYZ_to_Izazbz(
                  np.array([0.20654008, 0.12197225, 0.05136952]), method='ZCAM'))
  
      def test_n_dimensional_XYZ_to_Izazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition
          n-dimensional support.
          """
  
          XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
          Izazbz = XYZ_to_Izazbz(XYZ)
  
          XYZ = np.tile(XYZ, (6, 1))
          Izazbz = np.tile(Izazbz, (6, 1))
          np.testing.assert_almost_equal(XYZ_to_Izazbz(XYZ), Izazbz, decimal=7)
  
          XYZ = np.reshape(XYZ, (2, 3, 3))
          Izazbz = np.reshape(Izazbz, (2, 3, 3))
          np.testing.assert_almost_equal(XYZ_to_Izazbz(XYZ), Izazbz, decimal=7)
  
      def test_domain_range_scale_XYZ_to_Izazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition domain and
          range scale support.
          """
  
          XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
          Izazbz = XYZ_to_Izazbz(XYZ)
  
          d_r = (('reference', 1), (1, 1), (100, 100))
          for scale, factor in d_r:
              with domain_range_scale(scale):
                  np.testing.assert_almost_equal(
                      XYZ_to_Izazbz(XYZ * factor), Izazbz * factor, decimal=7)
  
      @ignore_numpy_errors
      def test_nan_XYZ_to_Izazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition nan
          support.
          """
  
          cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
          cases = set(permutations(cases * 3, r=3))
          for case in cases:
              XYZ = np.array(case)
              XYZ_to_Izazbz(XYZ)
  
  
  class TestIzazbz_to_XYZ(unittest.TestCase):
      """
      Defines :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition unit tests
      methods.
      """
  
      def test_Izazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition.
          """
  
          np.testing.assert_allclose(
              Izazbz_to_XYZ(np.array([0.01207793, 0.00924302, 0.00526007])),
              np.array([0.20654008, 0.12197225, 0.05136952]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_allclose(
              Izazbz_to_XYZ(np.array([0.01397346, -0.00608426, 0.00534077])),
              np.array([0.14222010, 0.23042768, 0.10495772]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_allclose(
              Izazbz_to_XYZ(np.array([0.03927203, 0.00064174, -0.00052906])),
              np.array([0.96907232, 1.00000000, 1.12179215]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_allclose(
              Izazbz_to_XYZ(np.array([0.03927203, 0.00064174, -0.00052906])),
              np.array([0.96907232, 1.00000000, 1.12179215]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_almost_equal(
              Izazbz_to_XYZ(
                  np.array([0.01049146, 0.00924302, 0.00526007]),
                  method='Safdar 2021'),
              np.array([0.20654008, 0.12197225, 0.05136952]),
              decimal=7)
  
          np.testing.assert_array_equal(
              Izazbz_to_XYZ(
                  np.array([0.01049146, 0.00924302, 0.00526007]),
                  method='Safdar 2021'),
              Izazbz_to_XYZ(
                  np.array([0.01049146, 0.00924302, 0.00526007]), method='ZCAM'))
  
      def test_n_dimensional_Izazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition
          n-dimensional support.
          """
  
          Izazbz = np.array([0.01207793, 0.00924302, 0.00526007])
          XYZ = Izazbz_to_XYZ(Izazbz)
  
          Izazbz = np.tile(Izazbz, (6, 1))
          XYZ = np.tile(XYZ, (6, 1))
          np.testing.assert_allclose(
              Izazbz_to_XYZ(Izazbz), XYZ, rtol=0.000001, atol=0.000001)
  
          Izazbz = np.reshape(Izazbz, (2, 3, 3))
          XYZ = np.reshape(XYZ, (2, 3, 3))
          np.testing.assert_allclose(
              Izazbz_to_XYZ(Izazbz), XYZ, rtol=0.000001, atol=0.000001)
  
      def test_domain_range_scale_Izazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition domain and
          range scale support.
          """
  
          Izazbz = np.array([0.01207793, 0.00924302, 0.00526007])
          XYZ = Izazbz_to_XYZ(Izazbz)
  
          d_r = (('reference', 1), (1, 1), (100, 100))
          for scale, factor in d_r:
              with domain_range_scale(scale):
                  np.testing.assert_allclose(
                      Izazbz_to_XYZ(Izazbz * factor),
                      XYZ * factor,
                      rtol=0.000001,
                      atol=0.000001)
  
      @ignore_numpy_errors
      def test_nan_Izazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition nan
          support.
          """
  
          cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
          cases = set(permutations(cases * 3, r=3))
          for case in cases:
              Izazbz = np.array(case)
              Izazbz_to_XYZ(Izazbz)
  
  
  class TestXYZ_to_Jzazbz(unittest.TestCase):
      """
      Defines :func:`colour.models.jzazbz.TestXYZ_to_Jzazbz` definition unit
      tests methods.
      """
  
      def test_XYZ_to_Jzazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition.
          """
  
          np.testing.assert_almost_equal(
              XYZ_to_Jzazbz(np.array([0.20654008, 0.12197225, 0.05136952])),
              np.array([0.00535048, 0.00924302, 0.00526007]),
              decimal=7)
  
          np.testing.assert_almost_equal(
              XYZ_to_Jzazbz(np.array([0.14222010, 0.23042768, 0.10495772])),
              np.array([0.00619681, -0.00608426, 0.00534077]),
              decimal=7)
  
          np.testing.assert_almost_equal(
              XYZ_to_Jzazbz(np.array([0.96907232, 1.00000000, 1.12179215])),
              np.array([0.01766826, 0.00064174, -0.00052906]),
              decimal=7)
  
      def test_n_dimensional_XYZ_to_Jzazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition
          n-dimensional support.
          """
  
          XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
          Jzazbz = XYZ_to_Jzazbz(XYZ)
  
          XYZ = np.tile(XYZ, (6, 1))
          Jzazbz = np.tile(Jzazbz, (6, 1))
          np.testing.assert_almost_equal(XYZ_to_Jzazbz(XYZ), Jzazbz, decimal=7)
  
          XYZ = np.reshape(XYZ, (2, 3, 3))
          Jzazbz = np.reshape(Jzazbz, (2, 3, 3))
          np.testing.assert_almost_equal(XYZ_to_Jzazbz(XYZ), Jzazbz, decimal=7)
  
      def test_domain_range_scale_XYZ_to_Jzazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition domain and
          range scale support.
          """
  
          XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
          Jzazbz = XYZ_to_Jzazbz(XYZ)
  
          d_r = (('reference', 1), (1, 1), (100, 100))
          for scale, factor in d_r:
              with domain_range_scale(scale):
                  np.testing.assert_almost_equal(
                      XYZ_to_Jzazbz(XYZ * factor), Jzazbz * factor, decimal=7)
  
      @ignore_numpy_errors
      def test_nan_XYZ_to_Jzazbz(self):
          """
          Tests :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition nan
          support.
          """
  
          cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
          cases = set(permutations(cases * 3, r=3))
          for case in cases:
              XYZ = np.array(case)
              XYZ_to_Jzazbz(XYZ)
  
  
  class TestJzazbz_to_XYZ(unittest.TestCase):
      """
      Defines :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition unit tests
      methods.
      """
  
      def test_Jzazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition.
          """
  
          np.testing.assert_allclose(
              Jzazbz_to_XYZ(np.array([0.00535048, 0.00924302, 0.00526007])),
              np.array([0.20654008, 0.12197225, 0.05136952]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_allclose(
              Jzazbz_to_XYZ(np.array([0.00619681, -0.00608426, 0.00534077])),
              np.array([0.14222010, 0.23042768, 0.10495772]),
              rtol=0.000001,
              atol=0.000001)
  
          np.testing.assert_allclose(
              Jzazbz_to_XYZ(np.array([0.01766826, 0.00064174, -0.00052906])),
              np.array([0.96907232, 1.00000000, 1.12179215]),
              rtol=0.000001,
              atol=0.000001)
  
      def test_n_dimensional_Jzazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition
          n-dimensional support.
          """
  
          Jzazbz = np.array([0.00535048, 0.00924302, 0.00526007])
          XYZ = Jzazbz_to_XYZ(Jzazbz)
  
          Jzazbz = np.tile(Jzazbz, (6, 1))
          XYZ = np.tile(XYZ, (6, 1))
          np.testing.assert_allclose(
              Jzazbz_to_XYZ(Jzazbz), XYZ, rtol=0.000001, atol=0.000001)
  
          Jzazbz = np.reshape(Jzazbz, (2, 3, 3))
          XYZ = np.reshape(XYZ, (2, 3, 3))
          np.testing.assert_allclose(
              Jzazbz_to_XYZ(Jzazbz), XYZ, rtol=0.000001, atol=0.000001)
  
      def test_domain_range_scale_Jzazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition domain and
          range scale support.
          """
  
          Jzazbz = np.array([0.00535048, 0.00924302, 0.00526007])
          XYZ = Jzazbz_to_XYZ(Jzazbz)
  
          d_r = (('reference', 1), (1, 1), (100, 100))
          for scale, factor in d_r:
              with domain_range_scale(scale):
                  np.testing.assert_allclose(
                      Jzazbz_to_XYZ(Jzazbz * factor),
                      XYZ * factor,
                      rtol=0.000001,
                      atol=0.000001)
  
      @ignore_numpy_errors
      def test_nan_Jzazbz_to_XYZ(self):
          """
          Tests :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition nan
          support.
          """
  
          cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
          cases = set(permutations(cases * 3, r=3))
          for case in cases:
              Jzazbz = np.array(case)
              Jzazbz_to_XYZ(Jzazbz)
  
  
  if __name__ == '__main__':
      unittest.main()
  