Exemple #1
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    def test_n_dimensional_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition n-dimensional arrays support.
        """

        V = 0.391006832034084
        L = 0.18
        np.testing.assert_almost_equal(
            log_decoding_ALEXALogC(V),
            L,
            decimal=7)

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

        V = np.reshape(V, (2, 3))
        L = np.reshape(L, (2, 3))
        np.testing.assert_almost_equal(
            log_decoding_ALEXALogC(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_ALEXALogC(V),
            L,
            decimal=7)
    def test_n_dimensional_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition n-dimensional arrays support.
        """

        V = 0.391006832034084
        L = 0.18
        np.testing.assert_almost_equal(
            log_decoding_ALEXALogC(V),
            L,
            decimal=7)

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

        V = np.reshape(V, (2, 3))
        L = np.reshape(L, (2, 3))
        np.testing.assert_almost_equal(
            log_decoding_ALEXALogC(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_ALEXALogC(V),
            L,
            decimal=7)
Exemple #3
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    def test_nan_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition nan support.
        """

        log_decoding_ALEXALogC(
            np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
    def test_nan_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition nan support.
        """

        log_decoding_ALEXALogC(
            np.array([-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]))
Exemple #5
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    def test_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition.
        """

        self.assertAlmostEqual(log_decoding_ALEXALogC(0.092809), 0.0, places=7)

        self.assertAlmostEqual(
            log_decoding_ALEXALogC(0.391006832034084), 0.18, places=7)

        self.assertAlmostEqual(
            log_decoding_ALEXALogC(0.570631558120417), 1.0, places=7)
    def test_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition.
        """

        self.assertAlmostEqual(log_decoding_ALEXALogC(0.092809), 0.0, places=7)

        self.assertAlmostEqual(
            log_decoding_ALEXALogC(0.391006832034084), 0.18, places=7)

        self.assertAlmostEqual(
            log_decoding_ALEXALogC(0.570631558120417), 1.0, places=7)
Exemple #7
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    def test_domain_range_scale_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.arri_alexa_log_c.\
log_decoding_ALEXALogC` definition domain and range scale support.
        """

        t = 0.391006832034084
        x = log_decoding_ALEXALogC(t)

        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_ALEXALogC(t * factor), x * factor, decimal=7)
    def test_domain_range_scale_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition domain and range scale support.
        """

        t = 0.391006832034084
        x = log_decoding_ALEXALogC(t)

        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_ALEXALogC(t * factor), x * factor, decimal=7)
Exemple #9
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    def test_n_dimensional_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition n-dimensional arrays support.
        """

        t = 0.391006832034084
        x = log_decoding_ALEXALogC(t)

        t = np.tile(t, 6)
        x = np.tile(x, 6)
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)

        t = np.reshape(t, (2, 3))
        x = np.reshape(x, (2, 3))
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)

        t = np.reshape(t, (2, 3, 1))
        x = np.reshape(x, (2, 3, 1))
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)
    def test_n_dimensional_log_decoding_ALEXALogC(self):
        """
        Tests :func:`colour.models.rgb.transfer_functions.alexa_log_c.\
log_decoding_ALEXALogC` definition n-dimensional arrays support.
        """

        t = 0.391006832034084
        x = log_decoding_ALEXALogC(t)

        t = np.tile(t, 6)
        x = np.tile(x, 6)
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)

        t = np.reshape(t, (2, 3))
        x = np.reshape(x, (2, 3))
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)

        t = np.reshape(t, (2, 3, 1))
        x = np.reshape(x, (2, 3, 1))
        np.testing.assert_almost_equal(log_decoding_ALEXALogC(t), x, decimal=7)