예제 #1
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    def test_n_dimensional_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition n-dimensional arrays support.
        """

        V = 0.636008067010413
        L = 0.18
        np.testing.assert_almost_equal(
            log_decoding_ViperLog(V),
            L,
            decimal=7)

        V = np.tile(V, 6)
        L = np.tile(L, 6)
        np.testing.assert_almost_equal(
            log_decoding_ViperLog(V),
            L,
            decimal=7)

        V = np.reshape(V, (2, 3))
        L = np.reshape(L, (2, 3))
        np.testing.assert_almost_equal(
            log_decoding_ViperLog(V),
            L,
            decimal=7)

        V = np.reshape(V, (2, 3, 1))
        L = np.reshape(L, (2, 3, 1))
        np.testing.assert_almost_equal(
            log_decoding_ViperLog(V),
            L,
            decimal=7)
예제 #2
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    def test_nan_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition nan support.
        """

        log_decoding_ViperLog(
            np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
예제 #3
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    def test_nan_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition nan support.
        """

        log_decoding_ViperLog(
            np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
예제 #4
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    def test_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition.
        """

        self.assertAlmostEqual(log_decoding_ViperLog(-np.inf), 0.0, places=7)

        self.assertAlmostEqual(
            log_decoding_ViperLog(0.636008067010413), 0.18, places=7)

        self.assertAlmostEqual(log_decoding_ViperLog(1.0), 1.0, places=7)
예제 #5
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    def test_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition.
        """

        self.assertAlmostEqual(log_decoding_ViperLog(-np.inf), 0.0, places=7)

        self.assertAlmostEqual(
            log_decoding_ViperLog(0.636008067010413), 0.18, places=7)

        self.assertAlmostEqual(log_decoding_ViperLog(1.0), 1.0, places=7)
예제 #6
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    def test_domain_range_scale_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition domain and range scale support.
        """

        y = 0.636008067010413
        x = log_decoding_ViperLog(y)

        d_r = (('reference', 1), (1, 1), (100, 100))
        for scale, factor in d_r:
            with domain_range_scale(scale):
                np.testing.assert_almost_equal(
                    log_decoding_ViperLog(y * factor), x * factor, decimal=7)
예제 #7
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    def test_domain_range_scale_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition domain and range scale support.
        """

        y = 0.636008067010413
        x = log_decoding_ViperLog(y)

        d_r = (('reference', 1), (1, 1), (100, 100))
        for scale, factor in d_r:
            with domain_range_scale(scale):
                np.testing.assert_almost_equal(
                    log_decoding_ViperLog(y * factor), x * factor, decimal=7)
예제 #8
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    def test_n_dimensional_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition n-dimensional arrays support.
        """

        y = 0.636008067010413
        x = log_decoding_ViperLog(y)

        y = np.tile(y, 6)
        x = np.tile(x, 6)
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)

        y = np.reshape(y, (2, 3))
        x = np.reshape(x, (2, 3))
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)

        y = np.reshape(y, (2, 3, 1))
        x = np.reshape(x, (2, 3, 1))
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)
예제 #9
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    def test_n_dimensional_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition n-dimensional arrays support.
        """

        y = 0.636008067010413
        x = log_decoding_ViperLog(y)

        y = np.tile(y, 6)
        x = np.tile(x, 6)
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)

        y = np.reshape(y, (2, 3))
        x = np.reshape(x, (2, 3))
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)

        y = np.reshape(y, (2, 3, 1))
        x = np.reshape(x, (2, 3, 1))
        np.testing.assert_almost_equal(log_decoding_ViperLog(y), x, decimal=7)
예제 #10
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    def test_n_dimensional_log_decoding_ViperLog(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.viper_log.\
log_decoding_ViperLog` definition n-dimensional arrays support.
        """

        V = 0.636008067010413
        L = 0.18
        np.testing.assert_almost_equal(log_decoding_ViperLog(V), L, decimal=7)

        V = np.tile(V, 6)
        L = np.tile(L, 6)
        np.testing.assert_almost_equal(log_decoding_ViperLog(V), L, decimal=7)

        V = np.reshape(V, (2, 3))
        L = np.reshape(L, (2, 3))
        np.testing.assert_almost_equal(log_decoding_ViperLog(V), L, decimal=7)

        V = np.reshape(V, (2, 3, 1))
        L = np.reshape(L, (2, 3, 1))
        np.testing.assert_almost_equal(log_decoding_ViperLog(V), L, decimal=7)